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Vesical Imaging-Reporting and Data System (VI-RADS) as a grouping imaging biomarker combined with a decision-tree mode to preoperatively predict the pathological grade of bladder cancer.
Cao, B; Li, Q; Xu, P; Zhang, Y; Cai, S; Rao, S; Zeng, M; Dai, Y; Jiang, S; Zhou, J.
Afiliación
  • Cao B; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China.
  • Li Q; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Xu P; Department of Urology, Xuhui Hospital, Fudan University, Shanghai, China.
  • Zhang Y; MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
  • Cai S; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Rao S; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China.
  • Zeng M; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China.
  • Dai Y; MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
  • Jiang S; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Urology, Zhongshan Hospital Wusong Branch, Fudan University, Shanghai, China. Electronic address: jiang.shuai@zs-hospital.sh.cn.
  • Zhou J; Department of Radiology, Fudan University Zhongshan Hospital Xiamen Branch, Xiamen, China; Xiamen Municipal Clinical Research Center for Medical Imaging, Xiamen, China; Xiamen Key Clinical Specialty for Radiology, Xiamen, China. Electronic address: zhoujianjunzs@126.com.
Clin Radiol ; 79(5): e725-e735, 2024 May.
Article en En | MEDLINE | ID: mdl-38360514
ABSTRACT

AIM:

To investigate whether the Vesical Imaging-Reporting and Data System (VI-RADS) could be used to develop a new non-invasive preoperative grade-prediction system to partially predict high-grade bladder cancer (HG-BC). MATERIALS AND

METHODS:

The present study enrolled 89 primary BC patients prospectively from March 2022 to June 2023. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of VI-RADS for predicting HG-BC and muscle-invasive bladder cancer (MIBC) in the entire group. In the low VI-RADS (≤2) group, the decision tree-based method was used to obtain significant predictors and construct the decision-tree model (DT model). The performance of the DT model and low VI-RADS scores for predicting HG-BC was determined using ROC, calibration, and decision curve analyses.

RESULTS:

At a cut-off of ≥3, the specificity and positive predictive value of VI-RADS for predicting HG-BC in the entire group was 100%, and the area under the ROC curve (AUC) was 0.697. Among 65 patients with low VI-RADS scores, the DT model showed an AUC of 0.884 in predicting HG-BC compared to 0.506 for low VI-RADS scores. Calibration and decision curve analyses showed that the DT model performed better than the low VI-RADS scores.

CONCLUSION:

Most VI-RADS scores ≥3 correspond to HG-BCs. VI-RADS could be used as a grouping imaging biomarker for a pathological grade-prediction procedure, which in combination with the DT model for low VI-RADS (≤2) populations, would provide a potential preoperative non-invasive method of predicting HG-BC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria Tipo de estudio: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria Tipo de estudio: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido