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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SAGE Publishing
2025-05-01
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| 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. |
| format | Article |
| id | doaj-art-4c4b659e36d144e5ab4dd55e79e60184 |
| institution | OA Journals |
| issn | 1526-2359 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Cancer Control |
| 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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