ArticleCancers2020
Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study.
Open access · goldAbstract read
In one paragraph
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.World journal of surgery · 2022Pooled it
- Radiomics-based artificial intelligence (AI) models in colorectal cancer (CRC) diagnosis, metastasis detection, prognosis, and treatment response prediction.Abdominal radiology (New York) · 2026Review
- Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging.Npj imaging · 2026Article
- Article
- A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI.NPJ precision oncology · 2025Article
- Computed tomography radiomics models of tumor differentiation in canine small intestinal tumors.Frontiers in veterinary science · 2024Article
- Radiomics in colorectal cancer patients.World journal of gastroenterology · 2023Review
- Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study.Frontiers in medicine · 2023Article
- Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms.Diagnostics (Basel, Switzerland) · 2022Article
- Radiomic Cancer Hallmarks to Identify High-Risk Patients in Non-Metastatic Colon Cancer.Cancers · 2022Article
- RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.IEEE journal of biomedical and health informatics · 2022Article
- Challenges in ensuring the generalizability of image quantitation methods for MRI.Medical physics · 2022Review
- Application of Radiomics in Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Strategies and Challenges.Journal of oncology · 2022Review
- Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.Frontiers in oncology · 2022Review
- Combination of Changes in CEA and CA199 Concentration After Neoadjuvant Chemoradiotherapy Could Predict the Prognosis of Stage II/III Rectal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy Followed by Total Mesorectal Excision.Cancer management and research · 2022Article
- Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.European radiology · 2022Article
- Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development.La Radiologia medica · 2022Article
- Radiomics and machine learning applications in rectal cancer: Current update and future perspectives.World journal of gastroenterology · 2021Review
- Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI.Cancers · 2021Review
- Radiogenomics in Colorectal Cancer.Cancers · 2021Review
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 at 6 institutions in 2 countries.
Charlems Alvarez-JimenezDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-7100-6387
Jacob T AntunesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-5437-5639
Nitya TalasilaDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Justin T BradyDepartment of General Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Jayakrishna GollamudiDepartment of Abdominal Imaging, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Eric MardersteinLouis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH 44106, USA.
Matthew F KaladyDepartment of Colorectal Surgery, Cleveland Clinic, Cleveland, OH 44106, USA.
Andrei PuryskoSection of Abdominal Imaging and Nuclear Radiology Department, Cleveland Clinic, Cleveland, OH 44195, USA.ORCID 0000-0002-6888-0417
Joseph E WillisDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Sharon SteinDepartment of General Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Kenneth FriedmanDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Rajmohan PaspulatiDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Conor P DelaneyDepartment of Colorectal Surgery, Cleveland Clinic, Cleveland, OH 44106, USA.
Eduardo RomeroComputer Imaging and Medical Application Laboratory, Universidad Nacional de Colombia, Bogotá 111321, Colombia.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-5741-0399
Satish E ViswanathDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0003-4550-8337
University Hospitals of Cleveland · USCase Western Reserve University · USCleveland Clinic · USLouis Stokes Cleveland VA Medical Center · USUniversidad Nacional de Colombia · COGeorgia Institute of Technology · US
Funding
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1MQuantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1MComputerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1MMR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0MPathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9MRadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4MHistoTools: A suite of digital pathology tools for quality control, annotation and dataset identificationU01CA239055 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI JANOWCZYK, ANDREW ROBERT, MADABHUSHI, ANANT · 2019 to 2022
$1.0MRad-path-omic tools for rectal cancer treatment evaluationF31CA216935 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI ANTUNES, JACOB · 2019 to 2020
$71kBIOMEDICAL ENGINEERING RESEARCH FACILITIESC06RR012463 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI KUTINA, KENNETH L · 1997 to 1997
–CDMRP Breast Cancer Research Program W81XWH-19-1-0668CDMRP Lung Cancer Investigator-Initiated Translational Research W81XWH-18-1-0440CDMRP Peer Reviewed Cancer Research Program W81XWH-16-1-0329CDMRP Prostate Cancer Idea Development W81XWH-15-1-0558National Institute for Biomedical Imaging and Bioengineering 1R43EB028736-01NCI NIH HHS 1F31CA216935-01A1NCI NIH HHS 1U01CA239055-01NCI NIH HHS 1U24CA199374-01NCI NIH HHS R01CA202752-01A1NCI NIH HHS R01CA208236-01A1NCI NIH HHS R01CA216579-01A1NCI NIH HHS R01CA220581-01A1NCI NIH HHS U01 CA248226NCRR NIH HHS 1C06RR12463-01United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service IBX004121A
Abstract
(1)
Indexed as
machine learningmagnetic resonance imagingradiomicsrectal cancershapetexturetreatment response
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