PO.BCS02.04 · 生物信息与计算

Evaluation of imaging-based prognostication (IPRO) using artificial intelligence (AI) in stage IV colorectal cancer (CRC) patients treated with first-line (1L) systemic therapy

海报缩略图:Evaluation of imaging-based prognostication (IPRO) using artificial intelligence (AI) in stage IV colorectal cancer (CRC) patients treated with first-line (1L) systemic therapy
编号 2787 展板 18 时间 4/20 02:00–05:00 区域 Section 4 主讲 Omar Khan, MBA;MD
分会场 Radiomics and AI in Medical Imaging
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作者与单位

Mohammed A. Alvi1, Ronald Bridges2, Marina Salluzzi2, Felipe Soares Torres3, Kartik Jhaveri3, Natasha B. Leighl4, John Riskas1, Shahid Haider1, Vignesh Sivan1, Oleksandra Samodorova1, Jay Hennesy1, Duoaud Shah1, FELIX BALDAUF-LENSCHEN1, Omar F. Khan5

1Altis Labs, Inc., Toronto, ON, Canada,2Cumming School of Medicine, University of Calgary, Calgary, AB, Canada,3Department of Medical Imaging, University of Toronto Temerty School of Medicine, Toronto, ON, Canada,4University Health Network, Toronto, ON, Canada,5Department of Oncology, Univ. of Calgary Faculty of Medicine, Calgary, AB, Canada

摘要 Abstract

INTRODUCTION: Accurate prognostication in stage IV CRC informs treatment decisions and stratifies patients in clinical trials. Tumor, node, metastasis (TNM) staging derived from pre-treatment computed tomography (CT) imaging classifies extent of disease but may not fully characterize prognosis. IPRO-alpha is an AI-generated prognostic score derived from pre-treatment CT imaging, with higher scores representing improved survival. IPRO-alpha was trained and validated to predict survival in advanced non-small-cell lung cancer. This study evaluates generalizability and prognostic utility of IPRO-alpha in real-world stage IV CRC patients receiving 1L systemic therapy, compared to TNM substage. METHODS: We retrospectively evaluated IPRO-alpha and TNM substage in a real-world dataset of stage IV CRC patients treated with 1L systemic therapy between 2010-2018 at 17 cancer centers. We evaluated median overall survival (mOS) and hazard ratios (HR) using Cox proportional hazards models across stage IV substages (A, B, C) and matched relative distributions for IPRO-alpha. RESULTS: 372 patients had available pre-treatment CT and known TNM substage (IVA=141, IVB=162, IVC=69). The median age was 61 years (IQR 52-69), with 32.8% (n=122) females. TNM substage IVA mOS was significantly better than IVB, with no statistically significant difference between stage IVB and IVC (Table 1). Distribution-matched IPRO-alpha groups showed significant survival differences across high, intermediate and low scores. CONCLUSIONS: IPRO-alpha may stratify survival with greater prognostic discrimination than TNM substage in metastatic CRC patients. IPRO-alpha, trained on lung cancer data, learned shared prognostic features allowing generalizability of survival predictions to entirely different tumour sites. Future work will evaluate IPRO-alpha's ability to stratify survival in various CRC treatment subsets. Median OS for stage IV CRC patients stratified by TNM substage and IPRO-alpha survival scores. N mOS in months (95% CI) HR (95% CI) p-value IPRO-alpha High 141 24.0 (19.1-29.6) 0.74 (0.58-0.93) 0.010 IPRO-alpha Intermediate 162 17.9 (16.2-20.9) reference - IPRO-alpha Low 69 10.0 (7.4-13.0) 2.28 (1.70-3.06) < 0.001 Stage IVA 141 20.8 (17.9-27.5) 0.77 (0.61-0.98) 0.032 Stage IVB 162 17.2 (14.4-20.1) reference - Stage IVC 69 13.0 (10.9 - 16.0) 1.14 (0.85-1.53) 0.363
利益披露 Disclosure
F. Soares Torres, None.. K. Jhaveri, None. O. F. Khan, Cogent Biosciences (Institutional Funding) ). Altis Labs, Inc. (Institutional Funding) ). Pfizer Other, Honoraria/Speaking Fees. AstraZeneca Other, Honoraria/Speaking Fees. Novartis Other, Honoraria/Speaking Fees. Gilead Other, Honoraria/Speaking Fees. Merck Other, Honoraria/Speaking Fees. Knight Therapeutics Other, Honoraria/Speaking Fees. Breast Cancer Canada (Institutional Funding) ).

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