Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
In Vivo
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
In Vivo

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Research ArticleClinical Studies
Open Access

Selected Body Composition Parameters Analysis Based on Bioelectrical Impedance in Patients Operated for Gastrointestinal Cancer

LUCYNA SCISLO, ELZBIETA WALEWSKA, IWONA BODYS-CUPAK, URSZULA SKORUS-ZADECKA, PIOTR RICHTER and ANTONI M. SZCZEPANIK
In Vivo November 2022, 36 (6) 2936-2944; DOI: https://doi.org/10.21873/invivo.13036
LUCYNA SCISLO
1Department of Clinical Nursing, Institute of Nursing and Midwifery, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ELZBIETA WALEWSKA
1Department of Clinical Nursing, Institute of Nursing and Midwifery, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
IWONA BODYS-CUPAK
2Laboratory of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
URSZULA SKORUS-ZADECKA
31st Department of Surgery, Jagiellonian University Medical College, Krakow, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PIOTR RICHTER
31st Department of Surgery, Jagiellonian University Medical College, Krakow, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ANTONI M. SZCZEPANIK
31st Department of Surgery, Jagiellonian University Medical College, Krakow, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: antoni.szczepanik@uj.edu.pl
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Bioelectrical Impedance Analysis is a method that evaluates body composition, useful in assessing the nutritional status of cancer patients. The analysis of its indicators may be helpful in predicting clinical course. The aim of the study was to evaluate the following body composition parameters: fat mass (FM), fat-free mass (FFM), skeletal muscle mass (SMM), muscle mass index (MMI), visceral fat (VF) and body mass index (BMI) measured before and after surgery in patients with gastrointestinal cancer and to determine the relationship between body composition and the course of treatment. Patients and Methods: The study included 125 patients, aged 65-68, operated on due to gastric, pancreatic or colorectal cancer. Body composition was assessed with electrical bioimpedance before and on the fifth postoperative day. The severity of complications was assessed with the Clavien-Dindo classification. Results: In the whole group of patients, the percentage of FM, VF, and BMI levels measured before surgery were significantly higher in curative surgery patients in comparison to palliative surgery patients, p<0.001. The MMI value was also significantly higher, p=0.045. In patients after curative surgery, the values of BMI and FM significantly decreased (BMI – p<0.001; FM – p=0.003) after the surgery. There was no relation between body composition parameters and severity of postoperative complications. Conclusion: In the investigated group, body composition differed between radical and palliative surgery groups. Surgery with curative intent produced more changes in body composition parameters in the early postoperative period than palliative surgery. These observations may be helpful in prehabilitation planning for such patients.

Key Words:
  • BIA
  • gastric cancer
  • pancreatic cancer
  • colon cancer
  • postoperative complications

Body composition analysis with use of Bioelectrical Impedance Analysis (BIA) is increasingly adapted in clinical practice alongside computed tomography. Global Leadership Initiative on Malnutrition (GLIM) experts recommend bioimpedance measurements in the phenotypic and etiological criteria determining the nutritional status (1). BIA is a non-invasive method; its advantages are its low cost and easy measurements. The accuracy of estimating body mass composition in relation to the reference values has been confirmed by numerous studies (2-5). Using this method, it is possible to determine parameters such as: adipose and lean tissue, muscle and visceral fat tissue, total, intra, and extracellular water contained in the body, and cellular body mass.

This method can be used to compare the patient’s body composition at different stages of surgical treatment, which may be a prognostic factor for the occurrence of postoperative complications (6). In patients with cancer, especially gastrointestinal cancer, there are frequent eating disorders that negatively affect the functioning of the body, the activity of the immune system, and postoperative recovery (7). As there is still no consensus regarding the optimal body composition testing method, the use of analysis based on bioimpedance along with the routine methods of nutritional assessment seems reasonable. Measurements of skeletal muscle mass and/or adipose tissue have proven effective in predicting various disorders in many fields of medicine, which further supports the argument for introducing such a method into clinical practice (8, 9). Nevertheless, the use of this tool requires an analysis of the obtained results in the context of various diseases, clinical situations, complications, and prognosis.

The aim of the study was to assess the following parameters of body composition: fat mass (FM), fat-free mass (FFM), skeletal muscle mass (SMM), muscle mass index (MMI), visceral fat (VF), and body mass index (BMI), in patients aged over 65, before and after surgery performed due to gastrointestinal cancer, and to determine the relationship between body composition and the course of treatment.

Patients and Methods

This prospective study recruited 125 patients, 52 women (41.6%) and 73 men (58.4%). The age of the patients ranged between 65-68 years. The research was prospective in nature and was carried out at the Department of General, Oncological, Gastroenterological and Transplant Surgery Jagiellonian University Medical College in Krakow in 2019.

The inclusion criteria were: age over 65, elective surgery, diagnosed gastric, pancreatic or colorectal cancer, expressed informed consent to participate in the study. The exclusion criteria were: age below 65, emergency surgery, no confirmation of cancer diagnosis in histopathology results, presence of a pacemaker and significant metal implants (possible incorrect BIA results).

The study included 56 patients with gastric cancer, 43 with pancreatic cancer, and 26 patients with colorectal cancer (Table I).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Characteristics of the study group.

Body composition was measured using the BIA, a method based on the OMRON BF511 medical device, which enables the measurement of body fat and visceral tissue, as well as the level of skeletal muscles and BMI. The device has been approved for medical applications and complies with the EN60601-1-2: 2001 standard in terms of immunity and emissions. The device is based on eight-sensor technology using both hands and feet. An alternating current [50 kHz, 0.5 mA (milliamperes)] is applied (10).

In our own study, the percentage of FM was analyzed with the calculation of FFM, percentage of SMM, MMI, the level of VF and BMI. MMI was calculated as the ratio of total skeletal muscle mass to the square of body height in m.

Prior to patient admission to the hospital, during the outpatient clinic visit, each patient was informed about the BIA test and recommendations: not to drink alcohol for at least 48 h before the examination; not to perform vigorous exercise for at least 12 h before the examination, and not to eat for 4 h before the examination.

During hospitalization, two measurements were taken in each patient: on the day of admission (before the surgery) and on the 5th postoperative day. The measurements were taken in the morning before breakfast and after emptying the bladder. The examinations were performed in accordance with the manufacturer’s instructions.

The study group was divided into two subgroups depending on the type of surgery (curative and palliative surgery). In the case of curative treatments, total or partial gastric resection was performed in patients with gastric cancer, in pancreatic cancer patients – pancreatoduedenectomy or distal pancreatic resection, and in patients with colorectal cancer – hemicolectomy, abdominoperineal rectal resection or anterior rectal resection. Palliative procedures included bypass anastomosis, nutritional microjejunostomy and exploratory laparotomy or laparoscopy.

In the study group the occurrence and severity of the postoperative in-hospital complications were analyzed. Complications were stratified according to the Clavien-Dindo classification (11).

Statistical analysis. The normality of the distribution of variables was tested using the Shapiro-Wilk test and the analysis of histograms. Data are presented as means with standard deviation (SD) or medians with first and third quartiles (Q1-Q3), depending on the distribution of the variables. One-way analysis of variance was used to test mean differences between groups. In case of failure to meet the assumptions of the one-way analysis of variance, the Kruskal-Wallis test (post hoc-Dunn test with Bonferroni correction) was used. To test the differences in the distribution of variables between the groups, the Student’s T-test for independent samples or the Mann-Whitney U-test was used, depending on the fulfillment of assumptions. The level of statistical significance was assumed to be p=0.05. In the case of missing data, the observations were removed in pairs.

The study was conducted and developed in accordance with the principles of Good Scientific Practice, the Act of 10 May 2018 on the protection of personal data, the principles of the Helsinki Declaration, the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (12, 13).

The study obtained approval of the Bioethics Committee No. 1072.6120.197.2019.

Results

Preoperative body composition. Table II compares the preoperative body composition between the groups of patients with gastric, pancreatic, and colorectal cancer. Only the MMI differed statistically significantly between patients with different cancers (p=0.003). In post-hoc analysis, MMI was significantly lower in the group of patients with pancreatic cancer as compared to the group of patients with colorectal cancer (p=0.002) (Table II).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Patients’ body composition before surgery.

In the entire study group, the percentage of FM, the level of VF, and BMI were significantly higher among patients who underwent curative surgery in comparison to palliative surgery patients (p<0.001). Also, the MMI value was significantly higher in patients undergoing curative treatment (p=0.045). On the other hand, the percentage of SMM content in curative surgery patients was significantly lower (p=0.006) (Table III).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Patients’ body composition before surgery, taking into account the type of surgery.

The groups of patients with gastric cancer and pancreatic cancer were also analyzed separately. In the group of patients with gastric cancer, statistically significant differences were found between all parameters except MMI. The BMI, the percentage of FM, and the level of VF were significantly lower (Table IV).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Body composition of patients with gastric cancer before surgery, taking into account the type of surgery.

Palliative pancreatic cancer patients had significantly lower BMI and percentage of adipose tissue than patients operated curatively, while the differences between remaining parameters did not reach statistical significance (Table V).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table V.

Body composition of patients with pancreatic cancer before surgery; taking into account the type of surgery.

Postoperative complications. Complications were analyzed on the basis of the Clavien-Dindo classification. In the entire study group, postoperative complications occurred in 56 patients (44.8%). The occurrence and grade of complications did not differ significantly between patients undergoing curative and palliative surgeries.

To see if there was any association between the preoperative body composition and the occurrence of complications, the following analysis was performed. The body composition was compared between the patients who did and did not experience severe postoperative complications defined as grade 3 or more in Clavien-Dindo Scale. The analysis did not show any significant differences in individual parameters between the two groups. There was a tendency for a higher VF and BMI level in patients with severe complications as compared to patients with less severe complications (Table VI).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table VI.

Body composition of patients before surgery; taking into account the type of surgery.

A comparative analysis of three selected body composition parameters (VF, MMI, BMI) was performed in the group of patients with gastric and pancreatic cancer and taking into account the type of surgery (Table VII). The analysis showed no significant differences in the selected parameters, both in gastric and pancreatic cancer, as well as after curative and palliative surgery. In patients with gastric cancer, the median VF was higher in patients who suffered from severe complications than in patients with minor complications (the result was not statistically significant). This observation also concerned patients who underwent curative surgery. Such a phenomenon has not been observed in patients with pancreatic cancer (Table VII).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table VII.

Patients’ body composition before surgery; taking into account the type of disease; surgery and postoperative complications.

In the study population, after curative surgery, the values of BMI and FM significantly decreased (BMI – p<0.001; FM – p=0.003) when compared to the values before surgery. In patients after palliative surgery, BMI also decreased, but the result did not reach the level of statistical significance (Table VIII).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table VIII.

Comparison of body mass index (BMI), fat mass (FM), visceral fat (VF) and muscle mass index (MMI) values before and after surgery; taking into account the type of surgery

Discussion

In this study, the elements of body composition were analyzed using bioelectric impedance. BIA is a useful diagnostic method commonly used due to the low cost of measurement and the accuracy of the obtained results. Body composition analysis is an important element of both diagnostic and therapeutic measure, as it gives an opportunity to assess changes in the body composition of patients and to monitor the effects of therapy. The assessment of individual changes in body composition is also applicable among surgical patients to monitor the course of treatment and prevent adverse effects (14, 15). This may particularly apply to the elderly. In this particular group of patients, the changes in body composition, including sarcopenia and increase in FM, may adversely affect the functional status and contribute to frailty syndrome development (16).

Authors of various publications have suggested that changes in body composition may influence treatment outcomes for various cancers. The decreased FFM is known to be a risk factor of poor prognosis in oncological patients (17, 18). Also, the presence of a high level of visceral adipose tissue may cause technical difficulties during surgeries, increase the rate of postoperative infections, and reduce the overall survival rate in gastric cancer (19).

In our study, selected parameters of the body composition: adipose (FM), lean (FFM) and skeletal muscle (SMM), body weight, and VF as well as MMI and BMI were estimated in patients undergoing surgery for gastric, pancreatic or colorectal cancer.

In our study, preoperatively, the comparison of groups of patients with gastric, pancreatic, and colorectal cancer in terms of FM, FFM, SMM, and VFA showed no significant differences. Only a significant difference in MMI was found between colorectal cancer and pancreatic cancer patients, p=0.002 (median 7.5 vs. 7.07).

In patients with pancreatic cancer, a tendency to lose muscle mass is considered a prognostic factor for postoperative complications. That is why the Skeletal Muscle Mass Index was developed (20). The alternative index-MMI, which was used in our study, is easier to obtain, as it does not require abdominal computed tomography (CT) examinations. We suggest that it can be an alternative when the CT scan is not available or multiple measurements in different points in time are needed.

In the FM analysis in the entire study group, the level of the parameter before surgery was significantly higher in patients who underwent curative surgery compared to palliative surgery (p<0.001). A similar observation was shown in patients with pancreatic cancer (p=0.022). This confirms the greater loss of FM in patients with advanced cancer (21).

In the comparative analysis of the pre- and postoperative measurements, in the group of patients who underwent curative treatments, the decrease in FM was significant, p=0.003 (mean FM 28.93% vs. 27.81%). In the group of patients undergoing palliative surgery, a decrease in FM was also observed, but not statistically significant. These results may indicate the body’s reaction to a more extensive surgical trauma in the case of curative treatments. One cannot forget about the loss of operative specimen, which can be up to several kilograms. It is likely that fluid therapy in the early postoperative period also affects body composition.

Similarly, other authors’ studies have shown that the surgical procedure contributed to the reduction in the adipose tissue content. In patients with gastric, pancreatic or colorectal cancer, after surgery, there was a loss of adipose tissue in each of the studied groups compared to that in the preoperative period by an average of 3 percentage points (22). The observations from our own research related to the decrease in FM after surgery were confirmed by a decrease in BMI after surgery compared to the preoperative period. A decrease in BMI was demonstrated in the entire group of patients studied. In the group of patients after curative surgery, the decrease was significant, p<0.001 (mean 25.76 vs. 25.18). The reduction in FM and BMI may be a consequence of an injury such as surgery (23), as well as the loss of surgically removed tissues.

Changes in the percentage of lean body mass were not always shown in the present study because with FM they add up to the sum of 100% and changes in one of the parameters reflect opposite changes in the other one. The muscle mass index (MMI) was used as a parameter independent of the percentage values.

Available research papers emphasize also the importance of maintaining muscle mass after surgery for cancer (24, 25). It has been shown that significant loss of muscle mass after surgery may lead to late postoperative complications and poor prognosis (26-29). Scientific reports also indicate that a decrease in muscle mass is associated with decreased FFM. It has been shown that in older patients with reduced FFM, sarcopenia is often diagnosed, as a result of which an increased rate of postoperative complications is observed (30). A meta-analysis of studies describing body composition assessment in 8,402 patients with gastric cancer showed that in the case of reduced FFM after gastrectomy, there is a higher rate of serious postoperative complications (31). A meta-analysis of studies describing overall survival after gastrectomy showed a worse prognosis in patients with reduced FFM (32). Similarly, in CT studies, it was found that a decrease in mass and deterioration in skeletal muscle function were associated with postoperative complications, prolonged hospital stay and a worse prognosis (33-42).

In our study, in the pre-and post-operative analysis, MMI decreased in the group of curative procedures (median 7.95 vs. 7.78) and in the group of palliative surgeries (mean 7.27 vs. 7.22), but not significantly. No association between post-operative complications and preoperative MMI was found.

Another parameter of body composition included in our study was visceral adipose tissue.

In recent years, the role of visceral obesity in the progression of cancer and its comorbidities has been studied (43, 44). Some cancer patients, especially in the early stages, tend to consume excess energy daily with limited daily physical activity. As a consequence, they can develop sarcopenic obesity. A tumor of gastrointestinal origin may also affect digestion and nutrient absorption. Therefore, the metabolic transformation and nutritional management differ in patients with different body composition (45). Patients with different VF status require different energy composition and macronutrients (46). In view of the above facts, visceral obesity should be diagnosed before surgery in order to select an appropriate surgical method and undertake interventions to prevent complications. In addition, low-grade chronic inflammation produced by excessive visceral adipose tissue is considered a suitable microenvironment for tumor progression. Growth factors released by visceral adipose tissue also mediate cancer progression (43, 44). In our study, the VF values were within the normal range in the entire group before the surgery. It was observed that patients who underwent palliative surgery had a significantly lower level of VF compared to patients who underwent curative surgery, p<0.001 (median 6.00 vs. 9.00). Thus, in these patients, in addition to FM, visceral fat also decreased. In the analysis of the entire study group, the level of VF was slightly higher in patients with severe postoperative complications compared to patients with less severe complications (median 10.00 vs. 8.00). In the subgroup analysis, similar observations were made in patients with gastric cancer (median 11.00 vs. 6.00). Because we did not have patients with visceral obesity, VF should not influence complications.

The results suggest that reducing visceral tissue before surgery could reduce the risk of severe complications. Therefore, it is important to recognize the level of visceral tissue both before and after surgery to ensure individualized and balanced nutritional support for patients (47).

In our study, in the entire group, 56 patients (44.8%) experienced postoperative complications, including 30 (24%) severe complications (grade 3-5). In the analysis carried out among patients with gastric and pancreatic cancers, no association was found between the parameters of body composition and the severity of complications in particular types of surgical procedures.

In the studies of other authors, among patients with pancreatic diseases, a similar number of serious complications was found, which amounted to 27.8% (48). In subsequent studies in patients with colorectal cancer, it was found that preoperative body composition and short-term weight loss were not associated with postoperative complications over a 30-day follow-up (49). In a recently published systematic review and meta-analysis, no significant differences were found between patients with visceral obesity and normal VF in terms of general postoperative complications. An association has been demonstrated between the incidence of visceral obesity and increased surgical site infection, pneumonia, and postoperative pancreatic fistula (50). A study conducted in Japan among 200 patients diagnosed with esophageal cancer based on the lean body mass index (FFMI) showed that FFMI was not a prognostic factor for postoperative complications, but was a significant independent factor of poor prognosis after surgery in the analysis of survival up to 3 years (51).

Study limitations. The presented study had several limitations. It was carried out in one center, among patients with various types of gastrointestinal cancers. The results of the tests were not compared with the assessment of muscle or adipose tissue based on CT. Extending the research to many centers, standardizing the study group in terms of single organ cancer, and extending the follow-up period after hospitalization, could provide wider results.

In the cohort of patients with gastrointestinal cancer, the body composition test showed that pancreatic cancer patients had the lowest muscle mass index. In patients with the most advanced cancers who were treated palliatively, the parameters of body composition, such as the percentage of FM, VF, as well as MMI and BMI, were significantly lower. Trauma caused by the curative treatment causes a significant reduction in the percentage of FM and BMI in the first 5 days after the procedure. However, no relationship between the examined parameters and the occurrence of serious complications was found. The BIA testing can be useful for planning pre-rehabilitation, assessing the clinical condition of patients before treatment and after surgery in order to minimize the potential consequences of a surgical trauma.

Footnotes

  • Authors’ Contributions

    LS: study concept and design, analyses, manuscript preparation; EW: interpretation of the results, manuscript preparation, literature search; IB-C: literature search, analyses; US-Z: interpretation of the results, statistical analysis, final approval, PR: study concept and organization, recruitment of patients, critical analysis of the manuscript, AMS: manuscript preparation, interpretation of the results, statistical analysis, final approval, supervision.

  • Conflicts of Interest

    The Authors report no conflicts of interest in relation to this study.

  • Received August 9, 2022.
  • Revision received September 19, 2022.
  • Accepted September 21, 2022.
  • Copyright © 2022, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Cederholm T,
    2. Jensen GL,
    3. Correia MITD,
    4. Gonzalez MC,
    5. Fukushima R,
    6. Higashiguchi T,
    7. Baptista G,
    8. Barazzoni R,
    9. Blaauw R,
    10. Coats A,
    11. Crivelli A,
    12. Evans DC,
    13. Gramlich L,
    14. Fuchs-Tarlovsky V,
    15. Keller H,
    16. Llido L,
    17. Malone A,
    18. Mogensen KM,
    19. Morley JE,
    20. Muscaritoli M,
    21. Nyulasi I,
    22. Pirlich M,
    23. Pisprasert V,
    24. de van der Schueren MAE,
    25. Siltharm S,
    26. Singer P,
    27. Tappenden K,
    28. Velasco N,
    29. Waitzberg D,
    30. Yamwong P,
    31. Yu J,
    32. Van Gossum A,
    33. Compher C, GLIM Core Leadership Committee. and GLIM Working Group
    : GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. Clin Nutr 38(1): 1-9, 2019. PMID: 30181091. DOI: 10.1016/j.clnu.2018.08.002
    OpenUrlCrossRefPubMed
  2. ↵
    1. Mulasi U,
    2. Kuchnia AJ,
    3. Cole AJ and
    4. Earthman CP
    : Bioimpedance at the bedside: current applications, limitations, and opportunities. Nutr Clin Pract 30(2): 180-193, 2015. PMID: 25613832. DOI: 10.1177/0884533614568155
    OpenUrlCrossRefPubMed
    1. Liu AR,
    2. He QS,
    3. Wu WH,
    4. Du JL,
    5. Kuo ZC,
    6. Xia B,
    7. Tang Y,
    8. Yun P,
    9. Cheung EC,
    10. Tang YZ,
    11. He YL,
    12. Zhang CH,
    13. Yuan JQ and
    14. Sun G
    : Body composition and risk of gastric cancer: A population-based prospective cohort study. Cancer Med 10(6): 2164-2174, 2021. PMID: 33624430. DOI: 10.1002/cam4.3808
    OpenUrlCrossRefPubMed
    1. Böhm A and
    2. Heitmann BL
    : The use of bioelectrical impedance analysis for body composition in epidemiological studies. Eur J Clin Nutr 67 Suppl 1: S79-S85, 2013. PMID: 23299875. DOI: 10.1038/ejcn.2012.168
    OpenUrlCrossRefPubMed
  3. ↵
    1. Marini E,
    2. Campa F,
    3. Buffa R,
    4. Stagi S,
    5. Matias CN,
    6. Toselli S,
    7. Sardinha LB and
    8. Silva AM
    : Phase angle and bioelectrical impedance vector analysis in the evaluation of body composition in athletes. Clin Nutr 39(2): 447-454, 2020. PMID: 30850270. DOI: 10.1016/j.clnu.2019.02.016
    OpenUrlCrossRefPubMed
  4. ↵
    1. Haverkort EB,
    2. Binnekade JM,
    3. de van der Schueren MA,
    4. Gouma DJ and
    5. de Haan RJ
    : Estimation of body composition depends on applied device in patients undergoing major abdominal surgery. Nutr Clin Pract 30(2): 249-256, 2015. PMID: 25107953. DOI: 10.1177/0884533614542614
    OpenUrlCrossRefPubMed
  5. ↵
    1. Nishiyama VKG,
    2. Albertini SM,
    3. Moraes CMZG,
    4. Godoy MF and
    5. Netinho JG
    : Malnutrition and clinical outcomes in surgical patients with colorectal disease. Arq Gastroenterol 55(4): 397-402, 2018. PMID: 30785525. DOI: 10.1590/S0004-2803.201800000-85
    OpenUrlCrossRefPubMed
  6. ↵
    1. Ebadi M,
    2. Martin L,
    3. Ghosh S,
    4. Field CJ,
    5. Lehner R,
    6. Baracos VE and
    7. Mazurak VC
    : Subcutaneous adiposity is an independent predictor of mortality in cancer patients. Br J Cancer 117(1): 148-155, 2017. PMID: 28588319. DOI: 10.1038/bjc.2017.149
    OpenUrlCrossRefPubMed
  7. ↵
    1. Castizo-Olier J,
    2. Irurtia A,
    3. Jemni M,
    4. Carrasco-Marginet M,
    5. Fernández-García R and
    6. Rodríguez FA
    : Bioelectrical impedance vector analysis (BIVA) in sport and exercise: Systematic review and future perspectives. PLoS One 13(6): e0197957, 2018. PMID: 29879146. DOI: 10.1371/journal.pone.0197957
    OpenUrlCrossRefPubMed
  8. ↵
    1. Bosy-Westphal A,
    2. Later W,
    3. Hitze B,
    4. Sato T,
    5. Kossel E,
    6. Gluer CC,
    7. Heller M and
    8. Muller MJ
    : Accuracy of bioelectrical impedance consumer devices for measurement of body composition in comparison to whole body magnetic resonance imaging and dual X-ray absorptiometry. Obes Facts 1(6): 319-324, 2008. PMID: 20054195. DOI: 10.1159/000176061
    OpenUrlCrossRefPubMed
  9. ↵
    1. Dindo D,
    2. Demartines N and
    3. Clavien PA
    : Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 240(2): 205-213, 2004. PMID: 15273542. DOI: 10.1097/01.sla.0000133083.54934.ae
    OpenUrlCrossRefPubMed
  10. ↵
    The Act of 10th May 2018 on the protection of personal data. Dz.U. 2018 poz. 1000). Available at: http://prawo.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20180001000 [Last accessed on June 20, 2022]
  11. ↵
    Regulation of the European Parliament and of the Council (EU) 2016/679 of 27th April 2016. On the protection of individuals with regard to the processing of personal data and on the free movement of such data and the repeal of Directive 95/46/EC (General Data Protection Regulation). Available at: https://eur-lex.europa.eu/legal-content/PL/TXT/?uri=CELEX%3A32016R0679 [Last accessed on June 20, 2022]
  12. ↵
    1. Marroni C,
    2. Miranda D,
    3. Boemeke L and
    4. Fernandes S
    : Phase angle bioelectrical impedance analysis (BIA) as a biomarker tool for liver disease. Biomarkers in Disease: Methods, Discoveries and Applications: 1-18, 2019. DOI: 10.1007/978-94-007-7742-2_43-1
    OpenUrlCrossRef
  13. ↵
    1. Cichoż-Lach H and
    2. Michalak A
    : A comprehensive review of bioelectrical impedance analysis and other methods in the assessment of nutritional status in patients with liver cirrhosis. Gastroenterol Res Pract 2017: 6765856, 2017. PMID: 28894465. DOI: 10.1155/2017/6765856
    OpenUrlCrossRefPubMed
  14. ↵
    1. Kalyani RR,
    2. Corriere M and
    3. Ferrucci L
    : Age-related and disease-related muscle loss: the effect of diabetes, obesity, and other diseases. Lancet Diabetes Endocrinol 2(10): 819-829, 2014. PMID: 24731660. DOI: 10.1016/S2213-8587(14)70034-8
    OpenUrlCrossRefPubMed
  15. ↵
    1. Fukushima H,
    2. Takemura K,
    3. Suzuki H and
    4. Koga F
    : Impact of sarcopenia as a prognostic biomarker of bladder cancer. Int J Mol Sci 19(10): 2999, 2018. PMID: 30275370. DOI: 10.3390/ijms19102999
    OpenUrlCrossRefPubMed
  16. ↵
    1. Takada H,
    2. Kurosaki M,
    3. Nakanishi H,
    4. Takahashi Y,
    5. Itakura J,
    6. Tsuchiya K,
    7. Yasui Y,
    8. Tamaki N,
    9. Takaura K,
    10. Komiyama Y,
    11. Higuchi M,
    12. Kubota Y,
    13. Wang W,
    14. Okada M,
    15. Enomoto N and
    16. Izumi N
    : Impact of pre-sarcopenia in sorafenib treatment for advanced hepatocellular carcinoma. PLoS One 13(6): e0198812, 2018. PMID: 29912922. DOI: 10.1371/journal.pone.0198812
    OpenUrlCrossRefPubMed
  17. ↵
    1. van Dijk DP,
    2. Bakens MJ,
    3. Coolsen MM,
    4. Rensen SS,
    5. van Dam RM,
    6. Bours MJ,
    7. Weijenberg MP,
    8. Dejong CH and
    9. Olde Damink SW
    : Low skeletal muscle radiation attenuation and visceral adiposity are associated with overall survival and surgical site infections in patients with pancreatic cancer. J Cachexia Sarcopenia Muscle 8(2): 317-326, 2017. PMID: 27897432. DOI: 10.1002/jcsm.12155
    OpenUrlCrossRefPubMed
  18. ↵
    1. Basile D,
    2. Parnofiello A,
    3. Vitale MG,
    4. Cortiula F,
    5. Gerratana L,
    6. Fanotto V,
    7. Lisanti C,
    8. Pelizzari G,
    9. Ongaro E,
    10. Bartoletti M,
    11. Garattini SK,
    12. Andreotti VJ,
    13. Bacco A,
    14. Iacono D,
    15. Bonotto M,
    16. Casagrande M,
    17. Ermacora P,
    18. Puglisi F,
    19. Pella N,
    20. Fasola G,
    21. Aprile G and
    22. Cardellino GG
    : The IMPACT study: early loss of skeletal muscle mass in advanced pancreatic cancer patients. J Cachexia Sarcopenia Muscle 10(2): 368-377, 2019. PMID: 30719874. DOI: 10.1002/jcsm.12368
    OpenUrlCrossRefPubMed
  19. ↵
    1. Perinel J and
    2. Adham M
    : Palliative therapy in pancreatic cancer-palliative surgery. Transl Gastroenterol Hepatol 4: 28, 2019. PMID: 31231695. DOI: 10.21037/tgh.2019.04.03
    OpenUrlCrossRefPubMed
  20. ↵
    1. Dzierżek P,
    2. Kurnol K,
    3. Hap W,
    4. Frejlich E,
    5. Diakun A,
    6. Karwowski A,
    7. Kotulski K,
    8. Rudno-Rudzińska J and
    9. Kielan W
    : Assessment of changes in body composition measured with bioelectrical impedance in patients operated for pancreatic, gastric and colorectal cancer. Pol Przegl Chir 92(2): 8-11, 2020. PMID: 32310821. DOI: 10.5604/01.3001.0013.7951
    OpenUrlCrossRefPubMed
  21. ↵
    1. Ścisło L,
    2. Staszkiewicz M,
    3. Walewska E,
    4. Wojtan S,
    5. Paplaczyk M and
    6. Kózka M
    : Albumin and total protein concentration - selected parameters of catabolic reaction and nutritional status among patients with craniocerebral injuries diagnosed with surgically treated cerebrovascular diseases. Med Stud 37(3): 211-217, 2021. DOI: 10.5114/ms.2021.109548
    OpenUrlCrossRef
  22. ↵
    1. Aoyama T,
    2. Kawabe T,
    3. Fujikawa H,
    4. Hayashi T,
    5. Yamada T,
    6. Tsuchida K,
    7. Yukawa N,
    8. Oshima T,
    9. Rino Y,
    10. Masuda M,
    11. Ogata T,
    12. Cho H and
    13. Yoshikawa T
    : Loss of lean body mass as an independent risk factor for continuation of S-1 adjuvant chemotherapy for gastric cancer. Ann Surg Oncol 22(8): 2560-2566, 2015. PMID: 25515199. DOI: 10.1245/s10434-014-4296-z
    OpenUrlCrossRefPubMed
  23. ↵
    1. Nakashima Y,
    2. Saeki H,
    3. Nakanishi R,
    4. Sugiyama M,
    5. Kurashige J,
    6. Oki E and
    7. Maehara Y
    : Assessment of sarcopenia as a predictor of poor outcomes after esophagectomy in elderly patients with esophageal cancer. Ann Surg 267(6): 1100-1104, 2018. PMID: 28437312. DOI: 10.1097/SLA.0000000000002252
    OpenUrlCrossRefPubMed
  24. ↵
    1. van Wijk L,
    2. van Duinhoven S,
    3. Liem MSL,
    4. Bouman DE,
    5. Viddeleer AR and
    6. Klaase JM
    : Risk factors for surgery-related muscle quantity and muscle quality loss and their impact on outcome. Eur J Med Res 26(1): 36, 2021. PMID: 33892809. DOI: 10.1186/s40001-021-00507-9
    OpenUrlCrossRefPubMed
    1. Kudou K,
    2. Saeki H,
    3. Nakashima Y,
    4. Sasaki S,
    5. Jogo T,
    6. Hirose K,
    7. Hu Q,
    8. Tsuda Y,
    9. Kimura K,
    10. Nakanishi R,
    11. Kubo N,
    12. Ando K,
    13. Oki E,
    14. Ikeda T and
    15. Maehara Y
    : Postoperative development of sarcopenia is a strong predictor of a poor prognosis in patients with adenocarcinoma of the esophagogastric junction and upper gastric cancer. Am J Surg 217(4): 757-763, 2019. PMID: 30005807. DOI: 10.1016/j.amjsurg.2018.07.003
    OpenUrlCrossRefPubMed
    1. Harada K,
    2. Ida S,
    3. Baba Y,
    4. Ishimoto T,
    5. Kosumi K,
    6. Tokunaga R,
    7. Izumi D,
    8. Ohuchi M,
    9. Nakamura K,
    10. Kiyozumi Y,
    11. Imamura Y,
    12. Iwatsuki M,
    13. Iwagami S,
    14. Miyamoto Y,
    15. Sakamoto Y,
    16. Yoshida N,
    17. Watanabe M and
    18. Baba H
    : Prognostic and clinical impact of sarcopenia in esophageal squamous cell carcinoma. Dis Esophagus 29(6): 627-633, 2016. PMID: 26123787. DOI: 10.1111/dote.12381
    OpenUrlCrossRefPubMed
  25. ↵
    1. Ida S,
    2. Watanabe M,
    3. Yoshida N,
    4. Baba Y,
    5. Umezaki N,
    6. Harada K,
    7. Karashima R,
    8. Imamura Y,
    9. Iwagami S and
    10. Baba H
    : Sarcopenia is a predictor of postoperative respiratory complications in patients with esophageal cancer. Ann Surg Oncol 22(13): 4432-4437, 2015. PMID: 25862583. DOI: 10.1245/s10434-015-4559-3
    OpenUrlCrossRefPubMed
  26. ↵
    1. Holmes CJ and
    2. Racette SB
    : The utility of body composition assessment in nutrition and clinical practice: an overview of current methodology. Nutrients 13(8): 2493, 2021. PMID: 34444653. DOI: 10.3390/nu13082493
    OpenUrlCrossRefPubMed
  27. ↵
    1. Kamarajah SK,
    2. Bundred J and
    3. Tan BHL
    : Body composition assessment and sarcopenia in patients with gastric cancer: a systematic review and meta-analysis. Gastric Cancer 22(1): 10-22, 2019. PMID: 30276574. DOI: 10.1007/s10120-018-0882-2
    OpenUrlCrossRefPubMed
  28. ↵
    1. Zhang X,
    2. Li X,
    3. Shi H,
    4. Zhang K,
    5. Zhang Q,
    6. Tang M,
    7. Li W,
    8. Zhou F,
    9. Liu M,
    10. Cong M and
    11. Shi H
    : Association of the fat-free mass index with mortality in patients with cancer: A multicenter observational study. Nutrition 94: 111508, 2022. PMID: 34813982. DOI: 10.1016/j.nut.2021.111508
    OpenUrlCrossRefPubMed
  29. ↵
    1. Tan S,
    2. Zhuang Q,
    3. Zhang Z,
    4. Li S,
    5. Xu J,
    6. Wang J,
    7. Zhang Y,
    8. Xi Q,
    9. Meng Q,
    10. Jiang Y and
    11. Wu G
    : Postoperative loss of skeletal muscle mass predicts poor survival after gastric cancer surgery. Front Nutr 9: 794576, 2022. PMID: 35178421. DOI: 10.3389/fnut.2022.794576
    OpenUrlCrossRefPubMed
    1. Choi MH,
    2. Yoon SB,
    3. Lee K,
    4. Song M,
    5. Lee IS,
    6. Lee MA,
    7. Hong TH and
    8. Choi MG
    : Preoperative sarcopenia and post-operative accelerated muscle loss negatively impact survival after resection of pancreatic cancer. J Cachexia Sarcopenia Muscle 9(2): 326-334, 2018. PMID: 29399990. DOI: 10.1002/jcsm.12274
    OpenUrlCrossRefPubMed
    1. Lu J,
    2. Zheng ZF,
    3. Li P,
    4. Xie JW,
    5. Wang JB,
    6. Lin JX,
    7. Chen QY,
    8. Cao LL,
    9. Lin M,
    10. Tu RH,
    11. Zheng CH and
    12. Huang CM
    : A novel preoperative skeletal muscle measure as a predictor of postoperative complications, long-term survival and tumor recurrence for patients with gastric cancer after radical gastrectomy. Ann Surg Oncol 25(2): 439-448, 2018. PMID: 29181681. DOI: 10.1245/s10434-017-6269-5
    OpenUrlCrossRefPubMed
    1. Shichinohe T,
    2. Uemura S,
    3. Hirano S and
    4. Hosokawa M
    : Impact of preoperative skeletal muscle mass and nutritional status on short- and long-term outcomes after esophagectomy for esophageal cancer: a retrospective observational study : Impact of Psoas muscle mass and body mass on esophagectomy. Ann Surg Oncol 26(5): 1301-1310, 2019. PMID: 30725311. DOI: 10.1245/s10434-019-07188-z
    OpenUrlCrossRefPubMed
    1. Galli A,
    2. Colombo M,
    3. Prizio C,
    4. Carrara G,
    5. Lira Luce F,
    6. Paesano PL,
    7. Della Vecchia G,
    8. Giordano L,
    9. Bondi S,
    10. Tulli M,
    11. Di Santo D,
    12. Mirabile A,
    13. De Cobelli F and
    14. Bussi M
    : Skeletal muscle depletion and major postoperative complications in locally-advanced head and neck cancer: a comparison between ultrasound of rectus femoris muscle and neck cross-sectional imaging. Cancers (Basel) 14(2): 347, 2022. PMID: 35053512. DOI: 10.3390/cancers14020347
    OpenUrlCrossRefPubMed
    1. Ida S,
    2. Watanabe M,
    3. Yoshida N,
    4. Baba Y,
    5. Umezaki N,
    6. Harada K,
    7. Karashima R,
    8. Imamura Y,
    9. Iwagami S and
    10. Baba H
    : Sarcopenia is a predictor of postoperative respiratory complications in patients with esophageal cancer. Ann Surg Oncol 22(13): 4432-4437, 2015. PMID: 25862583. DOI: 10.1245/s10434-015-4559-3
    OpenUrlCrossRefPubMed
    1. Huang DD,
    2. Wang SL,
    3. Zhuang CL,
    4. Zheng BS,
    5. Lu JX,
    6. Chen FF,
    7. Zhou CJ,
    8. Shen X and
    9. Yu Z
    : Sarcopenia, as defined by low muscle mass, strength and physical performance, predicts complications after surgery for colorectal cancer. Colorectal Dis 17(11): O256-O264, 2015. PMID: 26194849. DOI: 10.1111/codi.13067
    OpenUrlCrossRefPubMed
    1. Wang SL,
    2. Zhuang CL,
    3. Huang DD,
    4. Pang WY,
    5. Lou N,
    6. Chen FF,
    7. Zhou CJ,
    8. Shen X and
    9. Yu Z
    : Sarcopenia adversely impacts postoperative clinical outcomes following gastrectomy in patients with gastric cancer: a prospective study. Ann Surg Oncol 23(2): 556-564, 2016. PMID: 26668085. DOI: 10.1245/s10434-015-4887-3
    OpenUrlCrossRefPubMed
    1. Pecorelli N,
    2. Carrara G,
    3. De Cobelli F,
    4. Cristel G,
    5. Damascelli A,
    6. Balzano G,
    7. Beretta L and
    8. Braga M
    : Effect of sarcopenia and visceral obesity on mortality and pancreatic fistula following pancreatic cancer surgery. Br J Surg 103(4): 434-442, 2016. PMID: 26780231. DOI: 10.1002/bjs.10063
    OpenUrlCrossRefPubMed
  30. ↵
    1. Harimoto N,
    2. Shirabe K,
    3. Yamashita YI,
    4. Ikegami T,
    5. Yoshizumi T,
    6. Soejima Y,
    7. Ikeda T,
    8. Maehara Y,
    9. Nishie A and
    10. Yamanaka T
    : Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br J Surg 100(11): 1523-1530, 2013. PMID: 24037576. DOI: 10.1002/bjs.9258
    OpenUrlCrossRefPubMed
  31. ↵
    1. Ozoya OO,
    2. Siegel EM,
    3. Srikumar T,
    4. Bloomer AM,
    5. DeRenzis A and
    6. Shibata D
    : Quantitative assessment of visceral obesity and postoperative colon cancer outcomes. J Gastrointest Surg 21(3): 534-542, 2017. PMID: 28101721. DOI: 10.1007/s11605-017-3362-9
    OpenUrlCrossRefPubMed
  32. ↵
    1. Long E and
    2. Beales IL
    : The role of obesity in oesophageal cancer development. Therap Adv Gastroenterol 7(6): 247-268, 2014. PMID: 25364384. DOI: 10.1177/1756283X14538689
    OpenUrlCrossRefPubMed
  33. ↵
    1. Kalinkovich A and
    2. Livshits G
    : Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev 35: 200-221, 2017. PMID: 27702700. DOI: 10.1016/j.arr.2016.09.008
    OpenUrlCrossRefPubMed
  34. ↵
    1. Koliaki C,
    2. Liatis S,
    3. Dalamaga M and
    4. Kokkinos A
    : Sarcopenic obesity: epidemiologic evidence, pathophysiology, and therapeutic perspectives. Curr Obes Rep 8(4): 458-471, 2019. PMID: 31654335. DOI: 10.1007/s13679-019-00359-9
    OpenUrlCrossRefPubMed
  35. ↵
    1. Gao B,
    2. Liu Y,
    3. Ding C,
    4. Liu S,
    5. Chen X and
    6. Bian X
    : Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study. BMJ Open 10(7): e036335, 2020. PMID: 32709647. DOI: 10.1136/bmjopen-2019-036335
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. Velho S,
    2. Costa Santos MP,
    3. Cunha C,
    4. Agostinho L,
    5. Cruz R,
    6. Costa F,
    7. Garcia M,
    8. Oliveira P,
    9. Maio R,
    10. Baracos VE and
    11. Cravo M
    : Body composition influences post-operative complications and 90-day and overall survival in pancreatic surgery patients. GE Port J Gastroenterol 28(1): 13-25, 2020. PMID: 33564701. DOI: 10.1159/000507206
    OpenUrlCrossRefPubMed
  37. ↵
    1. Berstad P,
    2. Haugum B,
    3. Helgeland M,
    4. Bukholm I and
    5. Almendingen K
    : Preoperative body size and composition, habitual diet, and post-operative complications in elective colorectal cancer patients in Norway. J Hum Nutr Diet 26(4): 359-368, 2013. PMID: 23190256. DOI: 10.1111/jhn.12002
    OpenUrlCrossRefPubMed
  38. ↵
    1. Saravana-Bawan B,
    2. Goplen M,
    3. Alghamdi M and
    4. Khadaroo RG
    : The relationship between visceral obesity and post-operative complications: a meta-analysis. J Surg Res 267: 71-81, 2021. PMID: 34130241. DOI: 10.1016/j.jss.2021.04.034
    OpenUrlCrossRefPubMed
  39. ↵
    1. Yago A,
    2. Ohkura Y,
    3. Ueno M,
    4. Fujisawa K,
    5. Ogawa Y,
    6. Shimoyama H,
    7. Urabe M,
    8. Haruta S and
    9. Udagawa H
    : Identification of preoperative fat-free mass index for the prognosis of curatively resected esophageal cancer. World J Surg 46(4): 845-854, 2022. PMID: 34985544. DOI: 10.1007/s00268-021-06435-3
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

In Vivo: 36 (6)
In Vivo
Vol. 36, Issue 6
November-December 2022
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on In Vivo.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Selected Body Composition Parameters Analysis Based on Bioelectrical Impedance in Patients Operated for Gastrointestinal Cancer
(Your Name) has sent you a message from In Vivo
(Your Name) thought you would like to see the In Vivo web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
15 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Selected Body Composition Parameters Analysis Based on Bioelectrical Impedance in Patients Operated for Gastrointestinal Cancer
LUCYNA SCISLO, ELZBIETA WALEWSKA, IWONA BODYS-CUPAK, URSZULA SKORUS-ZADECKA, PIOTR RICHTER, ANTONI M. SZCZEPANIK
In Vivo Nov 2022, 36 (6) 2936-2944; DOI: 10.21873/invivo.13036

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Selected Body Composition Parameters Analysis Based on Bioelectrical Impedance in Patients Operated for Gastrointestinal Cancer
LUCYNA SCISLO, ELZBIETA WALEWSKA, IWONA BODYS-CUPAK, URSZULA SKORUS-ZADECKA, PIOTR RICHTER, ANTONI M. SZCZEPANIK
In Vivo Nov 2022, 36 (6) 2936-2944; DOI: 10.21873/invivo.13036
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Patients and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Risk Factors Associated With Perioperative Skeletal Muscle Loss in Patients With Colorectal Cancer
  • Google Scholar

More in this TOC Section

  • Evaluation of the Setup Accuracy of a Skin-markerless Positioning Using Surface-guided Radiotherapy in Accelerated Partial Breast Irradiation
  • Conversion Surgery Performed Following Durvalumab Combined With Gemcitabine and Cisplatin in Cholangiocarcinoma: A Case Report
  • The Effectiveness of Live Birth Rate of Traditional Chinese Medicine Intervention for Infertile Women Undergoing a Second Round of IVF Is Influenced by Age
Show more Clinical Studies

Similar Articles

Keywords

  • BIA
  • Gastric cancer
  • pancreatic cancer
  • colon cancer
  • postoperative complications
In Vivo

© 2025 In Vivo

Powered by HighWire