# MRI Predicts Residual Disease and Outcomes in Watch-and-Wait Patients with Rectal Cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mri-predicts-residual-disease-and-outcomes-in-watch-and-wait-patients-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hannah Williams,Dana M. Omer,H Thompson,Sabrina T. Lin,Floris S. Verheij,João Miranda,Jonathan B. Yuval,James Buckley,Michael R. Marco,Li‐Xuan Qin,David Dombroski,R P Kedar,Aytekin Oto,Elena Korngold,Joseph C. Veniero,Sunil Gandhi,Arun Krishnaraj,Minal Jagtiani Sangwaiya,Kirk Ohanian,Dan Vu,Thomas A. Hope,Sonia Lee,Ashish P. Wasnik,Nikhil Madhuripan,Marc J. Gollub,Julio García‐Aguilar,Sujata Patil,Jin K. Kim,Meghan Lee,Richard F. Dunne,Jorge Marcet,Peter A. Cataldo,Blasé N. Polite,Daniel O. Herzig,David Liska,Samuel Oommen,Charles M. Friel,Charles A. Ternent,Andrew L. Coveler,Steven R. Hunt,Anita Gregory,Madhulika G. Varma,Brian L. Bello,Joseph C. Carmichael,John C. Krauss,Ana Gleisner,Philip B. Paty,Martin R. Weiser,Garrett M. Nash,Emmanouil P. Pappou,José G. Guillem,Larissa K. Temple,Iris H. Wei,Maria Widmar,Neil H. Segal,Andrea Cercek,Rona Yaeger,J. Joshua Smith,Karyn A. Goodman,Abraham J. Wu,Leonard B. Saltz |
| Citations | 23 |
| DOI | 10.1148/radiol.232748 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC11427875/pdf/radiol.232748.pdf |
| OpenAlex ID | https://openalex.org/W4402197746 |
| PMID | 39225603 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Brian L. Bello](https://scholariq.org/researchers/brian-l-bello/)

## Paper primary topic

- [Colorectal Cancer Surgical Treatments](https://scholariq.org/topics/colorectal-cancer-surgical-treatments/)

## Paper topics

- [Colorectal Cancer Surgical Treatments](https://scholariq.org/topics/colorectal-cancer-surgical-treatments/)
- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.