# Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/utility-of-diffusion-weighted-imaging-to-decrease-unnecessary-biopsies-prompted/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Habib Rahbar,Zheng Zhang,Thomas L. Chenevert,Justin Romanoff,Averi E. Kitsch,Lucy Hanna,Sara Harvey,Linda Moy,Wendy B. DeMartini,Başak E. Doğan,Wei Yang,Lilian C. Wang,Bonnie N. Joe,Karen Y. Oh,Colleen H. Neal,Elizabeth S. McDonald,Mitchell D. Schnall,Constance D. Lehman,Christopher Comstock,Savannah C. Partridge |
| Citations | 141 |
| DOI | 10.1158/1078-0432.ccr-18-2967 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6420847 |
| OpenAlex ID | https://openalex.org/W2910373477 |
| PMID | 30647080 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Bonnie N. Joe](https://scholariq.org/researchers/bonnie-n-joe/)

## Paper journal

- [Clinical Cancer Research](https://scholariq.org/journals/clinical-cancer-research/)

## Paper primary topic

- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)

## Paper topics

- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)
- [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.