Integrating clinical and image-based parameters for prediction of early post-prostatectomy incontinence recovery: simplified nomogram approach

This is the first model to combine preoperative clinical factors, peri-surgical factors, and postoperative image-based factors to predict PPI recovery after RARP. This model can assist clinicians in taking optimal actions for PPI and also reduce patient anxiety.

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Publication Details

Journal
BMC Cancer
Published
2024-10-31
DOI
https://doi.org/10.1186/s12885-024-13072-1
Citations
2
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.84

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article

Integrating clinical and image-based parameters for prediction of early post-prostatectomy incontinence recovery: simplified nomogram approach

Chung‐Yi Liu, Hung-Yi Chen, Ying‐Hsu Chang, See‐Tong Pang et al.
2 citations
BMC Cancer
Prostate Cancer Diagnosis and Treatment
0.84
article

Integrating clinical and image-based parameters for prediction of early post-prostatectomy incontinence recovery: simplified nomogram approach

Chung‐Yi Liu, Hung-Yi Chen, Ying‐Hsu Chang, See‐Tong Pang, I‐Hung Shao, Po‐Hung Lin, Cheng‐Keng Chuang, Kai‐Jie Yu, Sy-Yuan Chen, Chun‐Te Wu, Ting‐Wen Sheng, Liang‐Kang Huang, Hung‐Chen Kan
article en
2 citations

Abstract

This is the first model to combine preoperative clinical factors, peri-surgical factors, and postoperative image-based factors to predict PPI recovery after RARP. This model can assist clinicians in taking optimal actions for PPI and also reduce patient anxiety.

BMC CancerVol. 24(1)
Chang Gung University (TW), Chang Gung Memorial Hospital (TW), Taipei Municipal YangMing Hospital (TW), Keelung Chang Gung Memorial Hospital (TW)
Chang Gung Medical Foundation
Zero hunger
Openalex Percentile: Top 23%
Prostate Cancer Diagnosis and Treatment
0.84
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