{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T15:26:42Z","timestamp":1781191602960,"version":"3.54.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:00:00Z","timestamp":1768262400000},"content-version":"vor","delay-in-days":34,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Gastroenterol"],"DOI":"10.1186\/s12876-025-04530-6","type":"journal-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T13:45:15Z","timestamp":1765374315000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Changes of bone, adipose, and muscle-related body compositions in gastric cancers after gastrectomy using deep learning based automatic segmentation"],"prefix":"10.1186","volume":"26","author":[{"given":"Mengying","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengze","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6166-4669","authenticated-orcid":false,"given":"Song","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9555-4617","authenticated-orcid":false,"given":"Zhengyang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,10]]},"reference":[{"issue":"3","key":"4530_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229\u201363. https:\/\/doi.org\/10.3322\/caac.21834.","journal-title":"CA Cancer J Clin"},{"issue":"10251","key":"4530_CR2","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/S0140-6736(20)31288-5","volume":"396","author":"EC Smyth","year":"2020","unstructured":"Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020;396(10251):635\u201348. https:\/\/doi.org\/10.1016\/S0140-6736(20)31288-5.","journal-title":"Lancet"},{"issue":"1","key":"4530_CR3","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-024-01773-9","volume":"9","author":"X Chen","year":"2024","unstructured":"Chen X, Xu H, Chen X, Xu T, Tian Y, Wang D, et al. First-line camrelizumab (a PD-1 inhibitor) plus apatinib (an VEGFR-2 inhibitor) and chemotherapy for advanced gastric cancer (SPACE): a phase 1 study. Signal Transduct Target Ther. 2024;9(1):73. https:\/\/doi.org\/10.1038\/s41392-024-01773-9.","journal-title":"Signal Transduct Target Ther"},{"key":"4530_CR4","unstructured":"Ajani JA, D\u2019Amico TA, Almhanna K, Bentrem DJ, Chao J, Das P et al. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology. Gastric Cancer, Version 1.2019. Accessed 14 May, 2019. Available at: https:\/\/www.nccn.org\/professionals\/physician_gls\/PDF\/gastric.pdf"},{"issue":"5","key":"4530_CR5","doi-asserted-by":"publisher","first-page":"728","DOI":"10.3390\/nu16050728","volume":"16","author":"GJ Song","year":"2024","unstructured":"Song GJ, Ahn H, Son MW, Yun JH, Lee MS, Lee SM. Adipose tissue quantification improves the prognostic value of GLIM criteria in advanced gastric cancer patients. Nutrients. 2024;16(5):728. https:\/\/doi.org\/10.3390\/nu16050728.","journal-title":"Nutrients"},{"issue":"7","key":"4530_CR6","doi-asserted-by":"publisher","first-page":"5150","DOI":"10.1007\/s00330-023-09401-w","volume":"33","author":"M Kim","year":"2023","unstructured":"Kim M, Lee CM, Kang BK, Ha TK, Choi YY, Lee SJ. Sarcopenia assessed with DXA and CT increases the risk of perioperative complications in patients with gastrectomy. Eur Radiol. 2023;33(7):5150\u20138. https:\/\/doi.org\/10.1007\/s00330-023-09401-w.","journal-title":"Eur Radiol"},{"issue":"5","key":"4530_CR7","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1016\/j.acra.2023.10.057","volume":"31","author":"C Tao","year":"2024","unstructured":"Tao C, Hong W, Yin P, Wu S, Fan L, Lei Z, et al. Nomogram based on body composition and prognostic nutritional index predicts survival after curative resection of gastric cancer. Acad Radiol. 2024;31(5):1940\u20139. https:\/\/doi.org\/10.1016\/j.acra.2023.10.057.","journal-title":"Acad Radiol"},{"issue":"12","key":"4530_CR8","doi-asserted-by":"publisher","first-page":"8489","DOI":"10.21037\/qims-23-309","volume":"13","author":"L Wei","year":"2023","unstructured":"Wei L, Fu B, Bo J, Jia H, Sun M, Jiang X, et al. Development of a nomogram based on body composition analysis of quantitative computed tomography combined with clinical prognostic factors to predict disease-free survival after surgery and adjuvant chemotherapy in patients with gastric cancer. Quant Imaging Med Surg. 2023;13(12):8489\u2013503. https:\/\/doi.org\/10.21037\/qims-23-309.","journal-title":"Quant Imaging Med Surg"},{"issue":"2","key":"4530_CR9","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s00198-019-05220-2","volume":"31","author":"HJ Oh","year":"2020","unstructured":"Oh HJ, Yoon BH, Ha YC, Suh DC, Lee SM, Koo KH, et al. The change of bone mineral density and bone metabolism after gastrectomy for gastric cancer: a meta-analysis. Osteoporos Int. 2020;31(2):267\u201375. https:\/\/doi.org\/10.1007\/s00198-019-05220-2.","journal-title":"Osteoporos Int"},{"issue":"11","key":"4530_CR10","doi-asserted-by":"publisher","first-page":"3222","DOI":"10.1245\/s10434-018-6624-1","volume":"25","author":"HS Park","year":"2018","unstructured":"Park HS, Kim HS, Beom SH, Rha SY, Chung HC, Kim JH, et al. Marked loss of muscle, visceral fat, or subcutaneous fat after gastrectomy predicts poor survival in advanced gastric cancer: single-center study from the CLASSIC trial. Ann Surg Oncol. 2018;25(11):3222\u201330. https:\/\/doi.org\/10.1245\/s10434-018-6624-1.","journal-title":"Ann Surg Oncol"},{"issue":"1","key":"4530_CR11","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1245\/s10434-020-09274-z","volume":"28","author":"Y Hu","year":"2021","unstructured":"Hu Y, Vos EL, Baser RE, Schattner MA, Nishimura M, Coit DG, et al. Longitudinal analysis of quality-of-life recovery after gastrectomy for cancer. Ann Surg Oncol. 2021;28(1):48\u201356. https:\/\/doi.org\/10.1245\/s10434-020-09274-z.","journal-title":"Ann Surg Oncol"},{"key":"4530_CR12","doi-asserted-by":"publisher","first-page":"1332303","DOI":"10.3389\/fimmu.2024.1332303","volume":"15","author":"J Lou","year":"2024","unstructured":"Lou J, Gong B, Li Y, Guo Y, Li L, Wang J, et al. Bone mineral density as an individual prognostic biomarker in NSCLC patients treated with immune checkpoint inhibitors. Front Immunol. 2024;15:1332303. https:\/\/doi.org\/10.3389\/fimmu.2024.1332303.","journal-title":"Front Immunol"},{"issue":"4","key":"4530_CR13","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/s00198-023-06999-x","volume":"35","author":"H Chen","year":"2024","unstructured":"Chen H, Zhu X, Zhou Q, Pu X, Wang B, Lin H, et al. Utility of MRI-based vertebral bone quality scores and CT-based Hounsfield unit values in vertebral bone mineral density assessment for patients with diffuse idiopathic skeletal hyperostosis. Osteoporos Int. 2024;35(4):705\u201315. https:\/\/doi.org\/10.1007\/s00198-023-06999-x.","journal-title":"Osteoporos Int"},{"issue":"19","key":"4530_CR14","doi-asserted-by":"publisher","first-page":"3971","DOI":"10.3390\/nu14193971","volume":"14","author":"KE Kim","year":"2022","unstructured":"Kim KE, Bae SU, Jeong WK, Baek SK. Impact of preoperative visceral fat area measured by bioelectrical impedance analysis on clinical and oncologic outcomes of colorectal cancer. Nutrients. 2022;14(19):3971. https:\/\/doi.org\/10.3390\/nu14193971.","journal-title":"Nutrients"},{"issue":"12","key":"4530_CR15","doi-asserted-by":"publisher","first-page":"2940","DOI":"10.1016\/j.acra.2023.05.022","volume":"30","author":"S Shi","year":"2023","unstructured":"Shi S, Zhao YX, Fan JL, Chang LY, Yu DX. Development and external validation of a nomogram including body composition parameters for predicting early recurrence of hepatocellular carcinoma after hepatectomy. Acad Radiol. 2023;30(12):2940\u201353. https:\/\/doi.org\/10.1016\/j.acra.2023.05.022.","journal-title":"Acad Radiol"},{"issue":"10","key":"4530_CR16","doi-asserted-by":"publisher","first-page":"3013","DOI":"10.1097\/JS9.0000000000000573","volume":"109","author":"B Cui","year":"2023","unstructured":"Cui B, Duan J, Zhu L, Wang G, Sun X, Su Z, et al. Effect of laparoscopic sleeve gastrectomy on mobilization of site-specific body adipose depots: a prospective cohort study. Int J Surg. 2023;109(10):3013\u201320. https:\/\/doi.org\/10.1097\/JS9.0000000000000573.","journal-title":"Int J Surg"},{"issue":"1","key":"4530_CR17","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.232387","volume":"312","author":"Q Li","year":"2024","unstructured":"Li Q, Xu WY, Sun NN, Feng QX, Zhu ZN, Hou YJ, et al. MRI versus dual-energy CT in local-regional staging of gastric cancer. Radiology. 2024;312(1):e232387. https:\/\/doi.org\/10.1148\/radiol.232387.","journal-title":"Radiology"},{"issue":"1","key":"4530_CR18","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1186\/s13244-024-01818-1","volume":"15","author":"M Xu","year":"2024","unstructured":"Xu M, Liu D, Wang L, Sun S, Liu S, Zhou Z. Clinical implications of CT-detected ascites in gastric cancer: association with peritoneal metastasis and systemic inflammatory response. Insights Imaging. 2024;15(1):237. https:\/\/doi.org\/10.1186\/s13244-024-01818-1.","journal-title":"Insights Imaging"},{"issue":"7","key":"4530_CR19","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1016\/j.annonc.2020.04.003","volume":"31","author":"D Dong","year":"2020","unstructured":"Dong D, Fang MJ, Tang L, Shan XH, Gao JB, Giganti F, et al. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study. Ann Oncol. 2020;31(7):912\u201320. https:\/\/doi.org\/10.1016\/j.annonc.2020.04.003.","journal-title":"Ann Oncol"},{"issue":"1","key":"4530_CR20","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s10120-021-01217-1","volume":"25","author":"JS Bae","year":"2022","unstructured":"Bae JS, Chang W, Kim SH, Choi Y, Kong SH, Lee HJ, et al. Development of a predictive model for extragastric recurrence after curative resection for early gastric cancer. Gastric Cancer. 2022;25(1):255\u201364. https:\/\/doi.org\/10.1007\/s10120-021-01217-1.","journal-title":"Gastric Cancer"},{"issue":"Suppl 1","key":"4530_CR21","doi-asserted-by":"publisher","first-page":"S167","DOI":"10.1016\/j.acra.2021.01.011","volume":"28","author":"S Liu","year":"2021","unstructured":"Liu S, Qiao X, Xu M, Ji C, Li L, Zhou Z. Development and validation of multivariate models integrating preoperative clinicopathological parameters and radiographic findings based on late arterial phase CT images for predicting lymph node metastasis in gastric cancer. Acad Radiol. 2021;28(Suppl 1):S167\u201378. https:\/\/doi.org\/10.1016\/j.acra.2021.01.011.","journal-title":"Acad Radiol"},{"issue":"1","key":"4530_CR22","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1002\/jcsm.13402","volume":"15","author":"IA Just","year":"2024","unstructured":"Just IA, Schoenrath F, Roehrich L, Heil E, Stein J, Auer TA, et al. Artificial intelligence-based analysis of body composition predicts outcome in patients receiving long-term mechanical circulatory support. J Cachexia Sarcopenia Muscle. 2024;15(1):270\u201380. https:\/\/doi.org\/10.1002\/jcsm.13402.","journal-title":"J Cachexia Sarcopenia Muscle"},{"issue":"6","key":"4530_CR23","doi-asserted-by":"publisher","first-page":"e007054","DOI":"10.1136\/jitc-2023-007054","volume":"11","author":"M He","year":"2023","unstructured":"He M, Chen ZF, Zhang L, Gao X, Chong X, Li HS, et al. Associations of subcutaneous fat area and systemic immune-inflammation index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade. J Immunother Cancer. 2023;11(6):e007054. https:\/\/doi.org\/10.1136\/jitc-2023-007054.","journal-title":"J Immunother Cancer"},{"issue":"3","key":"4530_CR24","doi-asserted-by":"publisher","first-page":"500","DOI":"10.3803\/EnM.2023.1860","volume":"39","author":"J Oh","year":"2024","unstructured":"Oh J, Kim B, Oh G, Hwangbo Y, Ye JC. End-to-end semi-supervised opportunistic osteoporosis screening using computed tomography. Endocrinol Metab (Seoul). 2024;39(3):500\u201310. https:\/\/doi.org\/10.3803\/EnM.2023.1860.","journal-title":"Endocrinol Metab (Seoul)"},{"key":"4530_CR25","unstructured":"Han M, Yao G, Zhang W, Mu G, Zhan Y, Zhou X et al. Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. SegTHOR@ ISBI. 2019; 2019:1\u20134."},{"key":"4530_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrai.2025.100025","volume":"3","author":"Y Que","year":"2025","unstructured":"Que Y, Xia X, Luo X, Deng Y, Chen M. Diagnostic performance of an artificial intelligence based software for opportunistic osteoporosis detection using chest CT. European Journal of Radiology Artificial Intelligence. 2025;3:100025. https:\/\/doi.org\/10.1016\/j.ejrai.2025.100025.","journal-title":"European Journal of Radiology Artificial Intelligence"},{"key":"4530_CR27","unstructured":"American College of Radiology. ACR\u2013SPR\u2013SSR practice parameter for the performance of quantitative computed tomography (QCT) bone densitometry. Accessed March 31. 2022. Available at: http:\/\/www.acr.org\/~\/media\/ACR\/Documents\/PGTS\/guidelines\/QCT.pdf"},{"issue":"1","key":"4530_CR28","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1007\/s00330-022-08980-4","volume":"33","author":"BB Chen","year":"2023","unstructured":"Chen BB, Liang PC, Shih TT, Liu TH, Shen YC, Lu LC, et al. Sarcopenia and myosteatosis are associated with survival in patients receiving immunotherapy for advanced hepatocellular carcinoma. Eur Radiol. 2023;33(1):512\u201322. https:\/\/doi.org\/10.1007\/s00330-022-08980-4.","journal-title":"Eur Radiol"},{"issue":"1","key":"4530_CR29","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1186\/s40644-019-0270-0","volume":"19","author":"H Su","year":"2019","unstructured":"Su H, Ruan J, Chen T, Lin E, Shi L. CT-assessed sarcopenia is a predictive factor for both long-term and short-term outcomes in gastrointestinal oncology patients: a systematic review and meta-analysis. Cancer Imaging. 2019;19(1):82. https:\/\/doi.org\/10.1186\/s40644-019-0270-0.","journal-title":"Cancer Imaging"},{"issue":"9","key":"4530_CR30","doi-asserted-by":"publisher","first-page":"e726","DOI":"10.1016\/S2542-5196(22)00172-3","volume":"6","author":"EL Lawrance","year":"2022","unstructured":"Lawrance EL, Jennings N, Kioupi V, Thompson R, Diffey J, Vercammen A. Psychological responses, mental health, and sense of agency for the dual challenges of climate change and the COVID-19 pandemic in young people in the UK: an online survey study. Lancet Planet Health. 2022;6(9):e726\u201338. https:\/\/doi.org\/10.1016\/S2542-5196(22)00172-3.","journal-title":"Lancet Planet Health"},{"key":"4530_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaci.2025.07.016","author":"MB Long","year":"2025","unstructured":"Long MB, Gilmour A, Hull RC, Giam YH, Richardson H, Hughes C, et al. Investigating the impact of dipeptidyl peptidase-1 inhibition in humans using multi-omics. J Allergy Clin Immunol. 2025. https:\/\/doi.org\/10.1016\/j.jaci.2025.07.016.","journal-title":"J Allergy Clin Immunol"},{"issue":"7","key":"4530_CR32","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1016\/j.cell.2024.02.009","volume":"187","author":"C Swanton","year":"2024","unstructured":"Swanton C, Bernard E, Abbosh C, Andre F, Auwerx J, Balmain A, et al. Embracing cancer complexity: hallmarks of systemic disease. Cell. 2024;187(7):1589\u2013616. https:\/\/doi.org\/10.1016\/j.cell.2024.02.009.","journal-title":"Cell"},{"issue":"4","key":"4530_CR33","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1038\/s41580-018-0093-z","volume":"20","author":"AL Ghaben","year":"2019","unstructured":"Ghaben AL, Scherer PE. Adipogenesis and metabolic health. Nat Rev Mol Cell Biol. 2019;20(4):242\u201358. https:\/\/doi.org\/10.1038\/s41580-018-0093-z.","journal-title":"Nat Rev Mol Cell Biol"},{"issue":"1","key":"4530_CR34","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ajcnut.2024.04.029","volume":"120","author":"MF Burak","year":"2024","unstructured":"Burak MF, Stanley TL, Lawson EA, Campbell SL, Lynch L, Hasty AH, et al. Adiposity, immunity, and inflammation: interrelationships in health and disease: a report from 24th Annual Harvard Nutrition Obesity Symposium, June 2023. Am J Clin Nutr. 2024;120(1):257\u201368. https:\/\/doi.org\/10.1016\/j.ajcnut.2024.04.029.","journal-title":"Am J Clin Nutr"},{"issue":"1","key":"4530_CR35","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1038\/s41467-021-22272-3","volume":"12","author":"A Whitehead","year":"2021","unstructured":"Whitehead A, Krause FN, Moran A, MacCannell ADV, Scragg JL, McNally BD, et al. Brown and beige adipose tissue regulate systemic metabolism through a metabolite interorgan signaling axis. Nat Commun. 2021;12(1):1905. https:\/\/doi.org\/10.1038\/s41467-021-22272-3.","journal-title":"Nat Commun"},{"issue":"1","key":"4530_CR36","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1017\/S002966511100320X","volume":"71","author":"SL Doyle","year":"2012","unstructured":"Doyle SL, Donohoe CL, Lysaght J, Reynolds JV. Visceral obesity, metabolic syndrome, insulin resistance and cancer. Proc Nutr Soc. 2012;71(1):181\u20139. https:\/\/doi.org\/10.1017\/S002966511100320X.","journal-title":"Proc Nutr Soc"},{"issue":"4","key":"4530_CR37","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1093\/ije\/dyac025","volume":"51","author":"Y Lu","year":"2022","unstructured":"Lu Y, Tang H, Huang P, Wang J, Deng P, Li Y, et al. Assessment of causal effects of visceral adipose tissue on risk of cancers: a Mendelian randomization study. Int J Epidemiol. 2022;51(4):1204\u201318. https:\/\/doi.org\/10.1093\/ije\/dyac025.","journal-title":"Int J Epidemiol"},{"issue":"1","key":"4530_CR38","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1002\/jcsm.13404","volume":"15","author":"A Bimurzayeva","year":"2024","unstructured":"Bimurzayeva A, Kim MJ, Ahn JS, Ku GY, Moon D, Choi J, et al. Three-dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes. J Cachexia Sarcopenia Muscle. 2024;15(1):281\u201391. https:\/\/doi.org\/10.1002\/jcsm.13404.","journal-title":"J Cachexia Sarcopenia Muscle"},{"issue":"2","key":"4530_CR39","doi-asserted-by":"publisher","DOI":"10.1111\/liv.16237","volume":"45","author":"PC Lee","year":"2025","unstructured":"Lee PC, Cheng TY, Ho CT, Huang KW, Chau GY, Huang YH, et al. Gender different impacts of muscle mass and adipose tissue on patients with hepatocellular carcinoma undergoing surgical resection. Liver Int. 2025;45(2):e16237. https:\/\/doi.org\/10.1111\/liv.16237.","journal-title":"Liver Int"},{"issue":"6","key":"4530_CR40","doi-asserted-by":"publisher","first-page":"3528","DOI":"10.1007\/s00330-019-06630-w","volume":"30","author":"P Blanc-Durand","year":"2020","unstructured":"Blanc-Durand P, Campedel L, Mule S, Jegou S, Luciani A, Pigneur F, et al. Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer. Eur Radiol. 2020;30(6):3528\u201337. https:\/\/doi.org\/10.1007\/s00330-019-06630-w.","journal-title":"Eur Radiol"},{"issue":"2","key":"4530_CR41","doi-asserted-by":"publisher","first-page":"e240282","DOI":"10.1148\/radiol.240282","volume":"314","author":"L Mantz","year":"2025","unstructured":"Mantz L, Mercaldo ND, Simon J, Kaess P, Yang K, Dietrich AW, et al. Preoperative chest CT myosteatosis indicates worse postoperative survival in stage 0-IIB Non-Small cell lung cancer. Radiology. 2025;314(2):e240282. https:\/\/doi.org\/10.1148\/radiol.240282.","journal-title":"Radiology"},{"issue":"2","key":"4530_CR42","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1007\/s00330-023-09712-y","volume":"34","author":"A Surov","year":"2024","unstructured":"Surov A, Meyer HJ, Hinnerichs M, Ferraro V, Zeremski V, Mougiakakos D, et al. CT-defined sarcopenia predicts treatment response in primary central nervous system lymphomas. Eur Radiol. 2024;34(2):790\u20136. https:\/\/doi.org\/10.1007\/s00330-023-09712-y.","journal-title":"Eur Radiol"},{"issue":"14","key":"4530_CR43","doi-asserted-by":"publisher","first-page":"2301","DOI":"10.3390\/nu16142301","volume":"16","author":"JM Wu","year":"2024","unstructured":"Wu JM, Tsai HH, Tseng SM, Liu KL, Lin MT. Perioperative glutamine supplementation may restore atrophy of Psoas muscles in gastric adenocarcinoma patients undergoing gastrectomy. Nutrients. 2024;16(14):2301. https:\/\/doi.org\/10.3390\/nu16142301.","journal-title":"Nutrients"},{"issue":"6","key":"4530_CR44","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1159\/000529676","volume":"12","author":"CH Wu","year":"2023","unstructured":"Wu CH, Ho MC, Chen CH, Liang JD, Huang KW, Cheng MF, et al. Computed tomography-defined sarcopenia in outcomes of patients with unresectable hepatocellular carcinoma undergoing radioembolization: assessment with total abdominal, psoas, and paraspinal muscles. Liver Cancer. 2023;12(6):550\u201364. https:\/\/doi.org\/10.1159\/000529676.","journal-title":"Liver Cancer"},{"issue":"13","key":"4530_CR45","doi-asserted-by":"publisher","first-page":"2146","DOI":"10.3390\/nu17132146","volume":"17","author":"F Akad","year":"2025","unstructured":"Akad F, Stan CI, Zugun-Eloae F, Peiu SN, Akad N, Crauciuc DV, et al. Nutritional and biochemical outcomes after total versus subtotal gastrectomy: insights into early postoperative prognosis. Nutrients. 2025;17(13):2146. https:\/\/doi.org\/10.3390\/nu17132146.","journal-title":"Nutrients"},{"key":"4530_CR46","doi-asserted-by":"publisher","unstructured":"Ueno K, Nishigori T, Tokoro Y, Hirai K, Miki A, Yamashita Y, et al. Efficacy of simple oral nutritional supplements versus usual care in postoperative patients with gastric cancer: A Multicenter, Open-label, Parallel, randomized controlled trial. Ann Surg Published Online August. 2025;7. https:\/\/doi.org\/10.1097\/SLA.0000000000006888.","DOI":"10.1097\/SLA.0000000000006888"},{"issue":"4","key":"4530_CR47","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1007\/s00774-017-0856-1","volume":"36","author":"M Climent","year":"2018","unstructured":"Climent M, Pera M, Aymar I, Ramon JM, Grande L, Nogues X. Bone health in long-term gastric cancer survivors: a prospective study of high-dose vitamin D supplementation using an easy administration scheme. J Bone Miner Metab. 2018;36(4):462\u20139. https:\/\/doi.org\/10.1007\/s00774-017-0856-1.","journal-title":"J Bone Miner Metab"},{"issue":"4","key":"4530_CR48","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1007\/s10120-017-0777-7","volume":"21","author":"SH Yoo","year":"2018","unstructured":"Yoo SH, Lee JA, Kang SY, Kim YS, Sunwoo S, Kim BS, et al. Risk of osteoporosis after gastrectomy in long-term gastric cancer survivors. Gastric Cancer. 2018;21(4):720\u20137. https:\/\/doi.org\/10.1007\/s10120-017-0777-7.","journal-title":"Gastric Cancer"},{"issue":"1","key":"4530_CR49","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s00520-022-07500-w","volume":"31","author":"Y Sakurai","year":"2022","unstructured":"Sakurai Y, Honda M, Kawamura H, Kobayashi H, Toshiyama S, Yamamoto R, et al. Relationship between physical activity and bone mineral density loss after gastrectomy in gastric cancer patients. Support Care Cancer. 2022;31(1):19. https:\/\/doi.org\/10.1007\/s00520-022-07500-w.","journal-title":"Support Care Cancer"},{"issue":"6","key":"4530_CR50","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1158\/2326-6066.CIR-22-0487","volume":"11","author":"K Rejeski","year":"2023","unstructured":"Rejeski K, Cordas Dos Santos DM, Parker NH, Bucklein VL, Winkelmann M, Jhaveri KS, et al. Influence of adipose tissue distribution, sarcopenia, and nutritional status on clinical outcomes after CD19 CAR T-cell therapy. Cancer Immunol Res. 2023;11(6):707\u201319. https:\/\/doi.org\/10.1158\/2326-6066.CIR-22-0487.","journal-title":"Cancer Immunol Res"},{"issue":"4","key":"4530_CR51","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.21873\/invivo.12510","volume":"35","author":"Y Atsumi","year":"2021","unstructured":"Atsumi Y, Rino Y, Aoyama T, Okuda N, Kawahara S, Kazama K, et al. A gender comparison of bone metabolic changes after gastric cancer surgery: a prospective observational study. In Vivo. 2021;35(4):2341\u20138. https:\/\/doi.org\/10.21873\/invivo.12510.","journal-title":"In Vivo"}],"container-title":["BMC Gastroenterology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-025-04530-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12876-025-04530-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-025-04530-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T04:55:47Z","timestamp":1768366547000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12876-025-04530-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,10]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["4530"],"URL":"https:\/\/doi.org\/10.1186\/s12876-025-04530-6","relation":{},"ISSN":["1471-230X"],"issn-type":[{"value":"1471-230X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,10]]},"assertion":[{"value":"4 September 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective study was conducted according to the principles in the Declaration of Helsinki and was approved by the Ethical Committee of Nanjing Drum Tower Hospital (No. 2024-081-02). The requirement for obtaining informed consent was waived because of its retrospective nature.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"AI, Artificial intelligence; ACR, American College of Radiology; AWM, Abdominal wall muscle; BMD, Bone mineral density; BMI, Body mass index; CT, Computed tomography; GC, Gastric cancer; IMAT, Intermuscular adipose tissue; IQR, Interquartile range; PM, Paravertebral muscle; SAT, Subcutaneous adipose tissue; SM, Skeletal muscle; SMI, Skeletal muscle index; VAT, Visceral adipose tissue.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Abbreviations"}}],"article-number":"26"}}