DIAGNOSTIC POTENTIAL OF MUSCLE MASS INDICATORS AS MARKERS OF NUTRITIONAL INSUFFICIENCY IN CANCER PATIENTS
https://doi.org/10.52485/19986173_2026_2_39
Abstract
The aim of the research. Тo research muscle mass indicators of computed tomography such as skeletal muscle area and index, as diagnostic markers of nutritional deficiency in cancer patients.
Materials and methods. A prospective study was performed on a sample of cancer patients. Group 1 –with nutritional deficiency (n = 105), group 2 – without nutritional deficiency (n = 96). The groups were balanced by location of the primary tumor (p > 0,05), age (p > 0,05), gender (p > 0,05). Research methods: survey using the Nutritional Risk Screening-2002 questionnaire; anthropometry; study of muscle strength using a dynamometer, testing the speed of five consecutive rises from a chair; measurement of muscle mass by defining of skeletal muscle area, skeletal muscle mass index based on the findings to computed tomography using the program the RadiAnt DICOM VIEWER 2023.1; studying functional capabilities by of the “4-meter walk” test. Statistical processing was performed using IBM SPSS Statistics Version 25.0.
Results. All anthropometric indicators, muscle strength, functional capabilities were decreased in cancer patients with nutritional deficiency. Skeletal muscle area and mass index taking into account gender differences were decreased in cancer patients with nutritional deficiency. Skeletal muscle area value was decreased for 45,8% of patients with a negative result of nutritional screening. The functional capabilities in these patients had no different to the values of patients with confirmed nutritional deficiency. The correlations between Skeletal muscle area and markers of nutritional deficiency have been identified.
Conclusion. Given the widespread use of computed tomography, the area of skeletal muscles can be recommended as an additional objective diagnostic criterion for nutritional deficiency.
About the Authors
E. V. KayukovaRussian Federation
Elena Vladimirovna Kayukova, Doctor of Medical Sciences, Associate Professor, Head of the Department of Oncology
Researcher ID (WOS): Q-6603-2017,
Author ID (Scopus): 57201131617
39a Gorky St., Chita, Russia, 672000
T. A. Ignatenko
Russian Federation
Tatiana Alexandrovna Ignatenko, resident of Oncology Department, Assistant of Oncology Department,
Researcher ID (WOS): LCE-8326-2024
39a Gorky St., Chita, Russia, 672000
E. A. Gubik
Russian Federation
Ekaterina Alexeevna Gubik, Candidate of Medical Sciences, Associate Professor, Head of Radiation Diagnostics and Radiation Therapy Department
39a Gorky St., Chita, Russia, 672000
References
1. Sytov A.V., Zuzov S.A., Kukosh M.Yu., et al. Prakticheskie rekomendacii po nutritivnoj podderzhke onkologicheskix bolnyx [Practical recommendations for nutritional support for cancer patients]. Zlokachestvennye opuxoli: Prakticheskie rekomendacii RUSSCO #3s2 [Malignant tumors: Practical recommendations RUSSCO #3s2]. 2022. 12. 123–133. https://doi.org/10.18027/2224-5057-2022-12-3s2-123-133. In Russian.
2. Kayukova E.V. Nutritional deficiency in cancer patients. Zabajkalskij medicinskij zhurnal. 2020. 4. 10–13. In Russian.
3. Sukorceva N.S., Reshetov I.V., Agakina Yu.S., Shevalgin A.A., By`kov I.I Nutritivnaya poderzhka kak vazhnyj i obyazatelnyj komponent terapii soprovozhdeniya pri luchevom i ximioluchevom lechenii pacientov, stradayushhix rakom polosti rta i rotoglotki Nutritional support as an important and obligatory component of accompanying therapy during radiation and chemoradiotherapy treatment of patients suffering from cancer of the oral cavity and oropharynx. Head and neck = Head and neck. Russian Journal. 2020. 8 (2). 75–85. https://doi.org/10.25792/HN.2020.8.2.75-85. In Russian
4. Brish N.A., Semiglazova T.Yu., Zakharova P.A., et al. Predictive value of nutritional deficiency in the treatment of patients with locally advanced gastric cancer. Pharmateka. 2019. 26 (12). 9–14. https://doi.org/10.18565/pharmateca.2019.12.9-14. In Russian
5. Khudaiberdieva Sh.A., Rakhimov N.M., Oripova M. R. The problem of nutritional insufficiency and methods of its correction in patients with cervical cancer. Ekonomika i socium. 2023. 8 (111). 366–373. In Russian.
6. Muscaritoli M., Arends J., Bachmann P., et al. ESPEN practical guideline: Clinical Nutrition in cancer. Clin Nutr. 2021. 40 (5). 2898–2913.
7. Masenko V.L., Kokov A.N., Grigor`eva I.I., Krivoshapova K.E. Radiology methods of the sarcopenia diagnosis. Research and Practical Medicine Journal. 2019. 6 (4). 127–137. https://doi.org/10.17709/2409-2231-2019-6-4-13. In Russian.
8. Ignatenko T.A. Using muscle mass indicators calculated based on computed tomography results as diagnostic criteria for nutritional deficiency in cancer patients. T.A. Ignatenko, A.N. Nasretdinova, Ya.V. Panibrashina. Medicine of tomorrow: Proceedings of the XXIII Scientific Conference of Students and Young Scientists with International Participation, Chita, April 23–26, 2024. Chita: Chita State Medical Academy. 2024. 65–66.
9. Walowski C.O., Braun W., Maisch M.J., et al. Reference Values for Skeletal Muscle Mass – Current Concepts and Methodological Considerations. Nutrients. 2020. 12 (3). 755. https://doi.org/10.3390/nu12030755.
10. International Committee of Medical Journal Editors. Uniform requirements for manuscripts submitted to biomedical journals: writing and editing for biomedical publication. Haematologica. 2004. 89 (3). 264.
11. Vrieling A., Kampman E., Knijnenburg N.C., et al. Body Composition in Relation to Clinical Outcomes in Renal Cell Cancer: A Systematic Review and Meta-analysis. Eur Urol Focus. 2018. 4 (3). 420–434. https://doi.org/10.1016/j.euf.2016.11.009.
12. Tanirkhanova E.Zh., Zhussupbekova L.I., Turebekov D.K., et al. Computed tomography in the diagnosis of oncopathology in end-stage renal disease: A case report. Digital Diagnostics. 2023. 4 (1S). 125–128. https://doi.org/10.17816/DD430368. In Russian.
13. Brown L.R., Sousa M.S., Yule M.S., et al. Body weight and composition endpoints in cancer cachexia clinical trials: Systematic Review 4 of the cachexia endpoints series. J Cachexia Sarcopenia Muscle. 2024. 15 (3). 816–852. https://doi.org/10.1002/jcsm.13478.
14. Fomina N.V., Utkina E.V. Modern methods of sarcopenia diagnostics. Siberian Medical Review. 2022. 5. 12–23. https://doi.org/10.20333/25000136-2022-5-12-23. In Russian.
15. Walowski C.O., Braun W., Maisch M.J., et.al. Reference Values for Skeletal Muscle Mass – Current Concepts and methodological considerations. NUTRIENTS. 2020. 12 (3). 755. https://doi.org/10.3390/nu12030755.
16. Furushima T., Miyachi M., Lemitsu M., et al. Comparison between clinical significance of height- adjusted and weight-adjusted appendicular skeletal muscle mass. J Physiol Anthropol. 2017. 36. 15. https://doi.org/10.1186/s40101-017-0130-1.
17. Zheng Zh. Lu J., Xie J., et al. Preoperative skeletal muscle index vs the controlling nutritional status score: Which is a better objective predictor of long-term survival for gastric cancer patients after radical gastrectomy? Cancer Med. 2018. 7 (8). 3537–3547. https://doi.org/10.1002/cam4.1548.
18. Yuan Sh., Larsson S.C. Epidemiology of sarcopenia: Prevalence, risk factors, and consequences. Metabolism. 2023. 144. 155533. https://doi.org/10.1016/j.metabol.2023.155533.
Review
For citations:
Kayukova E.V., Ignatenko T.A., Gubik E.A. DIAGNOSTIC POTENTIAL OF MUSCLE MASS INDICATORS AS MARKERS OF NUTRITIONAL INSUFFICIENCY IN CANCER PATIENTS. Transbaikalian Medical Bulletin. 2026;(2):39-50. (In Russ.) https://doi.org/10.52485/19986173_2026_2_39
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