A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI
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 c...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-01007-3 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Charlems Alvarez-Jimenez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a1359f9cb19e4cf6bc718ca19bf0c32d |
| institution | Kabale University |
| issn | 2397-768X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Precision Oncology |
| spelling | doaj-art-a1359f9cb19e4cf6bc718ca19bf0c32d2025-08-20T03:37:22ZengNature Portfolionpj Precision Oncology2397-768X2025-07-019111110.1038/s41698-025-01007-3A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRICharlems Alvarez-Jimenez0Jacob T. Antunes1Thomas DeSilvio2Zhouping Wei3Marwa Ismail4Joseph E. Willis5Emily Steinhagen6Andrei Purysko7David Liska8Smitha Krishnamurthi9Marka Crittenden10Michael Gough11Kristina Young12Anant Madabhushi13Eduardo Romero14Pallavi Tiwari15Satish E. Viswanath16Department of Biomedical Engineering, Case Western Reserve UniversityDepartment of Biomedical Engineering, Case Western Reserve UniversityDepartment of Biomedical Engineering, Case Western Reserve UniversityDepartment of Machine Learning, Moffitt Cancer CenterDepartments of Radiology & Biomedical Engineering, University of Wisconsin-MadisonDepartment of Pathology, University Hospitals Cleveland Medical CenterDepartment of Surgery, University Hospitals Cleveland Medical CenterAbdominal Imaging and Nuclear Radiology Department, Cleveland ClinicColorectal Surgery Department, Cleveland ClinicHematology and Medical Oncology Department, Cleveland ClinicEarle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Portland Medical CenterEarle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Portland Medical CenterEarle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Portland Medical CenterDepartment of Biomedical Engineering, Emory UniversityComputer Imaging and Medical Application Laboratory, Universidad Nacional de ColombiaDepartments of Radiology & Biomedical Engineering, University of Wisconsin-MadisonDepartment of Biomedical Engineering, Case Western Reserve UniversityAbstract 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.https://doi.org/10.1038/s41698-025-01007-3 |
| spellingShingle | 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 A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI npj Precision Oncology |
| title | A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI |
| title_full | A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI |
| title_fullStr | A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI |
| title_full_unstemmed | A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI |
| title_short | A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI |
| title_sort | novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via mri |
| url | https://doi.org/10.1038/s41698-025-01007-3 |
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