Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67

18% is the optimal cut-off value of Ki67 for predicting recurrence of NMIBUC. Ki67>18% is an independent risk factor for high recurrence rate of NMIBUC. This cut-off value can more accurately predict the risk of recurrence and has the potential clinical value for guiding the postoperative adjuvant treatment and follow-up strategy of NMIBUC.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-01-16
DOI
https://doi.org/10.3389/fonc.2024.1522009
Citations
2
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
4.01

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article

Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67

Jiangchuan Pi, Shadan Li, Ran Peng, Wenjun Meng et al.
2 citations
Frontiers in Oncology
Bladder and Urothelial Cancer Treatments
4.01
article

Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67

Jiangchuan Pi, Shadan Li, Ran Peng, Wenjun Meng, Yaoyu Zhang, Xiaoyao Yi, Mingzhu Jia, Xinping Yi
article en
2 citations

Abstract

18% is the optimal cut-off value of Ki67 for predicting recurrence of NMIBUC. Ki67>18% is an independent risk factor for high recurrence rate of NMIBUC. This cut-off value can more accurately predict the risk of recurrence and has the potential clinical value for guiding the postoperative adjuvant treatment and follow-up strategy of NMIBUC.

Frontiers in OncologyVol. 14
Dalian Medical University (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Chengdu Second People's Hospital (CN), Chongqing Medical University (CN)
Chongqing Medical University
Openalex Percentile: Top 9%
Bladder and Urothelial Cancer Treatments
4.01
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Predicting recurrence of non-muscle invasive bladder urothelial carcinoma: predictive value of the optimal cut-off value of Ki67 — Jiangchuan Pi, Shadan Li, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS