ArticleNPJ precision oncology2025
A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02688712 (Phase II Study of TGFβ Type I Receptor Inhibitor LY2157299 With Neoadjuvant Chemoradiation in Patients With Locally Advanced Rectal Adenocarcinoma), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Phase II Study of TGFβ Type I Receptor Inhibitor LY2157299 With Neoadjuvant Chemoradiation in Patients With Locally Advanced Rectal Adenocarcinoma
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Radiomic Analysis of MRI for Assessing Response to Neoadjuvant Chemoradiotherapy in Rectal Adenocarcinoma: A Systematic Review and Metaanalysis.Molecular imagingPooled it
- Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging.Npj imaging · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.