The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study

Introduction Contrast-enhanced computed tomography (CT) is the primary imaging modality for accurate risk stratification in gastrointestinal stromal tumors (GISTs). However, contrast-enhanced CT may not always be accessible or suitable for all patients undergoing risk assessment of GISTs. Therefore,...

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Main Authors: Wei Chen MM, Long-Yu Duan BM, Xiao-Juan Peng MM, Kun-Ming Yi BM, Lian-Qin Kuang MM
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Cancer Control
Online Access:https://doi.org/10.1177/10732748251342068
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author Wei Chen MM
Long-Yu Duan BM
Xiao-Juan Peng MM
Kun-Ming Yi BM
Lian-Qin Kuang MM
author_facet Wei Chen MM
Long-Yu Duan BM
Xiao-Juan Peng MM
Kun-Ming Yi BM
Lian-Qin Kuang MM
author_sort Wei Chen MM
collection DOAJ
description Introduction Contrast-enhanced computed tomography (CT) is the primary imaging modality for accurate risk stratification in gastrointestinal stromal tumors (GISTs). However, contrast-enhanced CT may not always be accessible or suitable for all patients undergoing risk assessment of GISTs. Therefore, this study explored the use of non-enhanced CT imaging for assessing body composition in patients with GISTs to preoperatively predict risk stratification. Methods We retrospectively analyzed 233 patients with GISTs who met the inclusion criteria. Pretreatment complete abdominal CT images from these patients were processed and analyzed using the Siemens Syngo imaging system. The data were subsequently organized and analyzed using the SPSS software (version 26.0). Results Through two independent samples t-tests, Mann–Whitney U tests, and chi-square tests (including corrected chi-square tests and Fisher’s exact tests), the intermediate-high risk group exhibited a lower visceral fat index (VFI) and higher tumor volumes and proportions of necrosis ( P < .05), compared to the low-risk group ( P < .05). No statistically significant differences were observed in the other indicators. Our research demonstrates that tumor volume is positively correlated with the National Institutes of Health (NIH) classification and exhibits the highest specificity among the four models (specificity = 0.735). However, its sensitivity is lower than that of the combined model (sensitivity = 0.803) and the VFI model (sensitivity = 0.972). Conclusion Based on the vascular abundance index, tumor volume, and necrosis status observed in the CT plain scan images of patients with GIST, a comprehensive predictive model was developed. This model can accurately predict the NIH grade of stromal tumors, thereby providing a robust basis for formulating effective treatment strategies and improving the prognosis of patients with GISTs who cannot undergo contrast-enhanced CT.
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spelling doaj-art-4c4b659e36d144e5ab4dd55e79e601842025-08-20T02:15:29ZengSAGE PublishingCancer Control1526-23592025-05-013210.1177/10732748251342068The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective StudyWei Chen MMLong-Yu Duan BMXiao-Juan Peng MMKun-Ming Yi BMLian-Qin Kuang MMIntroduction Contrast-enhanced computed tomography (CT) is the primary imaging modality for accurate risk stratification in gastrointestinal stromal tumors (GISTs). However, contrast-enhanced CT may not always be accessible or suitable for all patients undergoing risk assessment of GISTs. Therefore, this study explored the use of non-enhanced CT imaging for assessing body composition in patients with GISTs to preoperatively predict risk stratification. Methods We retrospectively analyzed 233 patients with GISTs who met the inclusion criteria. Pretreatment complete abdominal CT images from these patients were processed and analyzed using the Siemens Syngo imaging system. The data were subsequently organized and analyzed using the SPSS software (version 26.0). Results Through two independent samples t-tests, Mann–Whitney U tests, and chi-square tests (including corrected chi-square tests and Fisher’s exact tests), the intermediate-high risk group exhibited a lower visceral fat index (VFI) and higher tumor volumes and proportions of necrosis ( P < .05), compared to the low-risk group ( P < .05). No statistically significant differences were observed in the other indicators. Our research demonstrates that tumor volume is positively correlated with the National Institutes of Health (NIH) classification and exhibits the highest specificity among the four models (specificity = 0.735). However, its sensitivity is lower than that of the combined model (sensitivity = 0.803) and the VFI model (sensitivity = 0.972). Conclusion Based on the vascular abundance index, tumor volume, and necrosis status observed in the CT plain scan images of patients with GIST, a comprehensive predictive model was developed. This model can accurately predict the NIH grade of stromal tumors, thereby providing a robust basis for formulating effective treatment strategies and improving the prognosis of patients with GISTs who cannot undergo contrast-enhanced CT.https://doi.org/10.1177/10732748251342068
spellingShingle Wei Chen MM
Long-Yu Duan BM
Xiao-Juan Peng MM
Kun-Ming Yi BM
Lian-Qin Kuang MM
The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
Cancer Control
title The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
title_full The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
title_fullStr The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
title_full_unstemmed The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
title_short The Prognostic Value of Body Composition Analysis on Non-Enhanced CT for Risk Stratification in Gastrointestinal Stromal Tumors: A Retrospective Study
title_sort prognostic value of body composition analysis on non enhanced ct for risk stratification in gastrointestinal stromal tumors a retrospective study
url https://doi.org/10.1177/10732748251342068
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