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一种用于通过MRI评估直肠癌新辅助治疗反应的新型结构建模大小和方向放射组学描述符。

A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI.

作者信息

Alvarez-Jimenez Charlems, Antunes Jacob T, DeSilvio Thomas, Wei Zhouping, Ismail Marwa, Willis Joseph E, Steinhagen Emily, Purysko Andrei, Liska David, Krishnamurthi Smitha, Crittenden Marka, Gough Michael, Young Kristina, Madabhushi Anant, Romero Eduardo, Tiwari Pallavi, Viswanath Satish E

机构信息

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.

Computer Imaging and Medical Application Laboratory, Universidad Nacional de Colombia, Bogotá, Colombia.

出版信息

NPJ Precis Oncol. 2025 Jul 1;9(1):215. doi: 10.1038/s41698-025-01007-3.

Abstract

With advances in neoadjuvant therapies for rectal cancer, accurately evaluating tumor regression and response is increasingly critical for enabling personalized follow-up, including non-operative management. Given the lack of reliable assessment methods, there is an opportunity to develop computerized image-based markers for identifying early responders. We present a novel radiomic signature, the STructural mOdeling magnituDE and Orientation (StODeO) descriptor for quantifying image-based surrogates of tumor shrinkage within and around the rectum via routine MRI scans. StODeO descriptors measure both the magnitude (how much) and direction (inward/outward) of structural displacements in the diseased rectal wall, with respect to a newly constructed, first-of-its-kind image-based reference atlas of the non-diseased rectum. Combined with traditional radiomic texture features, StODeO showed superior performance in distinguishing pathologic response groups of rectal cancer patients post-chemoradiation (hold-out validation AUC 0.77) as well as segregating composite response groups in a clinical trial of immune checkpoint inhibitors (external validation accuracy 0.71; NCT02688712). The integrated StODeO-texture signature demonstrated robustness across annotation sources and imaging variations, intuitive modeling of therapy-associated structural changes, and statistical associations with tumor-immune biology, including macrophages and CD8+ T-cells from multiplexed biopsy analysis. StODeO offers a novel image-based surrogate of tissue displacements from treatment effects and residual disease after neoadjuvant therapy in rectal cancers.

摘要

随着直肠癌新辅助治疗方法的进步,准确评估肿瘤退缩和反应对于实现个性化随访(包括非手术治疗管理)变得越来越关键。鉴于缺乏可靠的评估方法,开发基于计算机图像的标志物以识别早期反应者存在机会。我们提出了一种新的放射组学特征,即结构建模幅度和方向(StODeO)描述符,用于通过常规MRI扫描量化直肠内部和周围肿瘤缩小的基于图像的替代指标。StODeO描述符测量患病直肠壁结构位移的幅度(多少)和方向(向内/向外),相对于新构建的、同类首个基于图像的非患病直肠参考图谱。结合传统的放射组学纹理特征,StODeO在区分放化疗后直肠癌患者的病理反应组(留一法验证AUC为0.77)以及在免疫检查点抑制剂临床试验中分离复合反应组方面表现出卓越性能(外部验证准确率为0.71;NCT02688712)。整合的StODeO-纹理特征在不同注释来源和成像变化中表现出稳健性,对治疗相关结构变化进行直观建模,并与肿瘤免疫生物学具有统计学关联,包括来自多重活检分析的巨噬细胞和CD8 + T细胞。StODeO提供了一种基于图像的新替代指标,用于评估直肠癌新辅助治疗后的治疗效果和残留疾病导致的组织位移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9204/12216517/5e2c42ef939f/41698_2025_1007_Fig1_HTML.jpg

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