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A Multicenter Machine Learning-Based Predictive Model of Acute Toxicity in Prostate Cancer Patients Undergoing Salvage Radiotherapy (ICAROS Study).

1/5 보강
Cancers 📖 저널 OA 100% 2021: 20/20 OA 2022: 79/79 OA 2023: 89/89 OA 2024: 156/156 OA 2025: 683/683 OA 2026: 512/512 OA 2021~2026 2025 Vol.17(13)
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
454 patients treated with SRT from three Italian radiotherapy centers.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Surgical technique, CTV-to-PTV margin, and treatment parameters were key predictors of toxicity. These findings emphasize the need for personalized treatment strategies integrating surgical and radiotherapy factors to minimize toxicity and optimize outcomes in prostate cancer patients.

Deodato F, Macchia G, Duhanxhiu P, Mammini F, Cavallini L, Ntreta M


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