# Accuracy of Preoperative Breast MRI Versus Conventional Imaging in Measuring Pathologic Extent of Invasive Lobular Carcinoma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/accuracy-of-preoperative-breast-mri-versus-conventional-imaging-in-measuring/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Keegan Hovis,Janie M. Lee,Daniel S. Hippe,Hannah M. Linden,Meghan R. Flanagan,Mark Kilgore,Janis Yee,Savannah C. Partridge,Habib Rahbar |
| Citations | 48 |
| DOI | 10.1093/jbi/wbab015 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://academic.oup.com/jbi/article-pdf/3/3/288/38087293/wbab015.pdf |
| OpenAlex ID | https://openalex.org/W3158933933 |
| PMID | 34061121 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Meghan R. Flanagan](https://scholariq.org/researchers/meghan-r-flanagan/)

## Paper journal

- [Journal of Breast Imaging](https://scholariq.org/journals/journal-of-breast-imaging/)

## 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.