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Development and validation of a preoperative CT-based risk scoring system for predicting recurrence-free survival in patients undergoing curative surgery for gastric cancer.
Zhu, Zhengqi; Gong, Haipeng; Gu, Jianan; Dai, Yongfeng; Yang, Chunyan; Mao, Mimi; Song, Anyi; Feng, Feng.
Afiliación
  • Zhu Z; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Gong H; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Gu J; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Dai Y; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Yang C; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Mao M; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China.
  • Song A; Radiology Department, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China.
  • Feng F; Radiology Department, Jiangsu Province Nantong City Cancer Hospital, Nantong 226300, Jiangsu Province, China. Electronic address: fengfeng@ntu.edu.cn.
Eur J Radiol ; 171: 111303, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38215532
ABSTRACT

PURPOSE:

The objective of this study was to establish and validate a preoperative risk scoring system that incorporated both clinical and computed tomography(CT) variables to predict recurrence-free survival (RFS) in gastric cancer(GC) patients who underwent curative resection.

METHOD:

We retrospectively included consecutive patients with surgically confirmed GC who underwent preoperative CT scans between October 2017 and January 2022. Multivariate Cox regression analysis was employed in the derivation set to identify clinical and CT variables associated with RFS and to construct a risk score. This risk score was subsequently validated in an independent test set.

RESULTS:

A total of 346 patients were included in the study, with 213 in the derivation set and 133 in the test set. Five variables, namely ctEMVI, ctBorrmann, visceral obesity, sarcopenia, and NLR, were independently associated with RFS. In the test set, the preoperative risk score exhibited a c-index of 0.741, which outperformed the predictive accuracy of pathological tumor staging (c-index of 0.673, p = 0.021) at various time points. The preoperative risk score effectively stratified patients into low and high-risk groups.

CONCLUSION:

The developed preoperative risk scoring system demonstrated the ability to predict RFS following curative resection in GC patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda