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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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

摘要

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.