# Constance D. Lehman

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/constance-d-lehman/

## Facts

| Field | Value |
| --- | --- |
| Citations | 25,222 |
| Field | MRI in cancer diagnosis |
| h-index | 83 |
| i10-index | 242 |
| Last Known Institution | Harvard University |
| OpenAlex ID | https://openalex.org/A5087244073 |
| ORCID iD | https://orcid.org/0000-0001-5839-6675 |
| Works | 386 |

## Researcher papers

- [National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium](https://scholariq.org/papers/national-performance-benchmarks-for-modern-screening-digital-mammography-update/)
- [Breast Cancer Screening and Diagnosis, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology](https://scholariq.org/papers/breast-cancer-screening-and-diagnosis-version-3-2018-nccn-clinical-practice/)
- [Identifying Women With Dense Breasts at High Risk for Interval Cancer](https://scholariq.org/papers/identifying-women-with-dense-breasts-at-high-risk-for-interval-cancer/)
- [Toward robust mammography-based models for breast cancer risk](https://scholariq.org/papers/toward-robust-mammography-based-models-for-breast-cancer-risk/)
- [Statement of the Science Concerning Locoregional Treatments After Preoperative Chemotherapy for Breast Cancer: A National Cancer Institute Conference](https://scholariq.org/papers/statement-of-the-science-concerning-locoregional-treatments-after-preoperative/)
- [Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)](https://scholariq.org/papers/utility-of-diffusion-weighted-imaging-to-decrease-unnecessary-biopsies-prompted/)

## Researcher 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/)
- [Global Cancer Incidence and Screening](https://scholariq.org/topics/global-cancer-incidence-and-screening/)
- [Breast Lesions and Carcinomas](https://scholariq.org/topics/breast-lesions-and-carcinomas/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [Harvard University](https://scholariq.org/institutions/harvard-university/)

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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.