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CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.
Zheng, Kaiwen; Liu, Xiangliang; Li, Yuguang; Cui, Jiuwei; Li, Wei.
  • Zheng K; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China.
  • Liu X; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China.
  • Li Y; College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China.
  • Cui J; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China. cuijw@jlu.edu.cn.
  • Li W; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China. liwei66@jlu.edu.cn.
Sci Rep ; 14(1): 13036, 2024 06 06.
Article en En | MEDLINE | ID: mdl-38844600
ABSTRACT
The role of skeletal muscle and adipose tissue in the progression of cancer has been gradually discussed, but it needs further exploration. The objective of this study was to provide an in-depth analysis of skeletal muscle and fat in digestive malignancies and to construct novel predictors for clinical management. This is a retrospective study that includes data from Cancer Center, the First Hospital of Jilin University. Basic characteristic information was analyzed by T tests. Correlation matrices were drawn to explore the relationship between CT-related indicators and other indicators. Cox risk regression analyses were performed to analyze the association between the overall survivals (OS) and various types of indicators. A new indicator body composition score (BCS) was then created and a time-dependent receiver operating characteristic curve was plotted to analyze the efficacy of the BCS. Finally, a nomogram was produced to develop a scored-CT system based on BCS and other indicators. C-index and calibration curve analyses were performed to validate the predictive accuracy of the scored-CT system. A total of 575 participants were enrolled in the study. Cox risk regression model revealed that VFD, L3 SMI and VFA/SFA were associated with prognosis of cancer patients. After adjustment, BCS index based on CT was significantly associated with prognosis, both in all study population and in subgroup analysis according to tumor types (all study population HR 2.036, P < 0.001; colorectal cancer HR 2.693, P < 0.001; hepatocellular carcinoma HR 4.863, P < 0.001; esophageal cancer HR 4.431, P = 0.008; pancreatic cancer HR 1.905, P = 0.016; biliary system malignancies HR 23.829, P = 0.035). The scored-CT system was constructed according to tumor type, stage, KPS, PG-SGA and BCS index, and it was of great predictive validity. This study identified VFD, L3 SMI and VFA/SFA associated with digestive malignancies outcomes. BCS was created and the scored-CT system was established to predict the OS of cancer patients.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Composición Corporal / Tomografía Computarizada por Rayos X / Tejido Adiposo / Músculo Esquelético / Neoplasias del Sistema Digestivo Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Composición Corporal / Tomografía Computarizada por Rayos X / Tejido Adiposo / Músculo Esquelético / Neoplasias del Sistema Digestivo Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article