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Artificial intelligence-aided detection for prostate cancer with multimodal routine health check-up data: an Asian multi-center study
12
Zitationen
21
Autoren
2023
Jahr
Abstract
BACKGROUND: The early detection of high-grade prostate cancer (HGPCa) is of great importance. However, the current detection strategies result in a high rate of negative biopsies and high medical costs. In this study, the authors aimed to establish an Asian Prostate Cancer Artificial intelligence (APCA) score with no extra cost other than routine health check-ups to predict the risk of HGPCa. PATIENTS AND METHODS: A total of 7476 patients with routine health check-up data who underwent prostate biopsies from January 2008 to December 2021 in eight referral centres in Asia were screened. After data pre-processing and cleaning, 5037 patients and 117 features were analyzed. Seven AI-based algorithms were tested for feature selection and seven AI-based algorithms were tested for classification, with the best combination applied for model construction. The APAC score was established in the CH cohort and validated in a multi-centre cohort and in each validation cohort to evaluate its generalizability in different Asian regions. The performance of the models was evaluated using area under the receiver operating characteristic curve (ROC), calibration plot, and decision curve analyses. RESULTS: Eighteen features were involved in the APCA score predicting HGPCa, with some of these markers not previously used in prostate cancer diagnosis. The area under the curve (AUC) was 0.76 (95% CI:0.74-0.78) in the multi-centre validation cohort and the increment of AUC (APCA vs. PSA) was 0.16 (95% CI:0.13-0.20). The calibration plots yielded a high degree of coherence and the decision curve analysis yielded a higher net clinical benefit. Applying the APCA score could reduce unnecessary biopsies by 20.2% and 38.4%, at the risk of missing 5.0% and 10.0% of HGPCa cases in the multi-centre validation cohort, respectively. CONCLUSIONS: The APCA score based on routine health check-ups could reduce unnecessary prostate biopsies without additional examinations in Asian populations. Further prospective population-based studies are warranted to confirm these results.
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Autoren
Institutionen
- Second Military Medical University(CN)
- Shanghai Jiao Tong University(CN)
- Renji Hospital(CN)
- Changhai Hospital(CN)
- Barro Colorado Island(PA)
- East China University of Science and Technology(CN)
- Shanghai First People's Hospital(CN)
- Nanjing General Hospital of Nanjing Military Command(CN)
- Nanjing University(CN)
- University Malaya Medical Centre(MY)
- University of Malaya(MY)
- Chinese University of Hong Kong(HK)
- Korea University(KR)
- Ansan University(KR)
- CAE (Canada)(CA)
- Sichuan University(CN)
- West China Hospital of Sichuan University(CN)
- First Affiliated Hospital of Xi'an Jiaotong University(CN)
- Soochow University(CN)
- First Affiliated Hospital of Soochow University(CN)
- Zhongda Hospital Southeast University(CN)
- Guangxi Medical University(CN)
- First Affiliated Hospital of GuangXi Medical University(CN)