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Tumor burden in metastatic colorectal cancer quantified using deep learning models: Prognostic value and maintenance treatment benefit in the CAIRO3 trial.

2/5 보강

European journal of cancer (Oxford, England : 1990) 📖 저널 OA 14.4% 2021~2026 2026 Vol.238() p. 116668 OA Radiomics and Machine Learning in Me

TL;DR This exploratory analysis showed that a higher tumor burden, quantified by number or volume, was independently associated with poor outcomes, supporting their potential as predictive biomarkers.

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문

P · Population 대상 환자/모집단

104 patients (median age, 64 years; 65% male).

I · Intervention 중재 / 시술

추출되지 않음

C · Comparison 대조 / 비교

추출되지 않음

O · Outcome 결과 / 결론

[DISCUSSION] This exploratory analysis showed that a higher tumor burden, quantified by number or volume, was independently associated with poor outcomes. Patients with lower tumor burden, especially lower TTV, appeared to derive the greatest benefit from maintenance therapy, supporting their potential as predictive biomarkers.

OpenAlex 토픽 · Radiomics and Machine Learning in Medical Imaging Colorectal Cancer Treatments and Studies Cancer Genomics and Diagnostics

Al-Toma D, Kemna R, Ali M, Zwart K, Zeeuw MJ, Stehouwer BL

📖 무료 전문 🔓 OA PDF oa

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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