
Mitchell D. Schnall
VerifiedUniversity of Pennsylvania · Rehabilitation Medicine
Active 1945–2024
Research topics
- Internal medicine
- Medicine
- Artificial Intelligence
- Radiology
- Computer Science
- Chemistry
- Nuclear medicine
- Neuroscience
- Nuclear magnetic resonance
- Biochemistry
- Biology
- Physics
Selected publications
NeuroImage · 2022 · 24 citations
- Artificial Intelligence
- Computer Science
- Chemistry
H MRS acquisition methods, it can be performed using commonly implemented single voxel spectroscopy (SVS) and chemical shift imaging (CSI) sequences. In this work, we implement qMRS in semi-LASER based CSI, generating dynamic maps arising from the fitted spectra, and demonstrating the feasibility of using qMRS and qCSI to monitor dynamic metabolism in the human brain using a 7T scanner with no auxiliary hardware.
Radiology · 2020 · 43 citations
- Medicine
- Nuclear medicine
- Radiology
-value acquisition is a simple and sufficient diffusion-weighted MRI metric to augment diagnostic performance of breast MRI compared with more complex approaches to apparent diffusion coefficient measurement. © RSNA, 2020
JAMA · 2020 · 447 citations
- Medicine
- Radiology
- Internal medicine
Importance: Improved screening methods for women with dense breasts are needed because of their increased risk of breast cancer and of failed early diagnosis by screening mammography. Objective: To compare the screening performance of abbreviated breast magnetic resonance imaging (MRI) and digital breast tomosynthesis (DBT) in women with dense breasts. Design, Setting, and Participants: Cross-sectional study with longitudinal follow-up at 48 academic, community hospital, and private practice sites in the United States and Germany, conducted between December 2016 and November 2017 among average-risk women aged 40 to 75 years with heterogeneously dense or extremely dense breasts undergoing routine screening. Follow-up ascertainment of cancer diagnoses was complete through September 12, 2019. Exposures: All women underwent screening by both DBT and abbreviated breast MRI, performed in randomized order and read independently to avoid interpretation bias. Main Outcomes and Measures: The primary end point was the invasive cancer detection rate. Secondary outcomes included sensitivity, specificity, additional imaging recommendation rate, and positive predictive value (PPV) of biopsy, using invasive cancer and ductal carcinoma in situ (DCIS) to define a positive reference standard. All outcomes are reported at the participant level. Pathology of core or surgical biopsy was the reference standard for cancer detection rate and PPV; interval cancers reported until the next annual screen were included in the reference standard for sensitivity and specificity. Results: Among 1516 enrolled women, 1444 (median age, 54 [range, 40-75] years) completed both examinations and were included in the analysis. The reference standard was positive for invasive cancer with or without DCIS in 17 women and for DCIS alone in another 6. No interval cancers were observed during follow-up. Abbreviated breast MRI detected all 17 women with invasive cancer and 5 of 6 women with DCIS. Digital breast tomosynthesis detected 7 of 17 women with invasive cancer and 2 of 6 women with DCIS. The invasive cancer detection rate was 11.8 (95% CI, 7.4-18.8) per 1000 women for abbreviated breast MRI vs 4.8 (95% CI, 2.4-10.0) per 1000 women for DBT, a difference of 7 (95% CI, 2.2-11.6) per 1000 women (exact McNemar P = .002). For detection of invasive cancer and DCIS, sensitivity was 95.7% (95% CI, 79.0%-99.2%) with abbreviated breast MRI vs 39.1% (95% CI, 22.2%-59.2%) with DBT (P = .001) and specificity was 86.7% (95% CI, 84.8%-88.4%) vs 97.4% (95% CI, 96.5%-98.1%), respectively (P < .001). The additional imaging recommendation rate was 7.5% (95% CI, 6.2%-9.0%) with abbreviated breast MRI vs 10.1% (95% CI, 8.7%-11.8%) with DBT (P = .02) and the PPV was 19.6% (95% CI, 13.2%-28.2%) vs 31.0% (95% CI, 17.0%-49.7%), respectively (P = .15). Conclusions and Relevance: Among women with dense breasts undergoing screening, abbreviated breast MRI, compared with DBT, was associated with a significantly higher rate of invasive breast cancer detection. Further research is needed to better understand the relationship between screening methods and clinical outcome. Trial Registration: ClinicalTrials.gov Identifier: NCT02933489.
Radiology · 2020 · 105 citations
- Medicine
- Internal medicine
See also the editorial by Moy and Heller in this issue.
Recent grants
ECOG-ACRIN NCORP Research Base
NIH · $183.2M · 2014–2026
NIH · $10.9M · 2008
NIH · $233.5M · 2014–2026
NIH · $184.7M · 2013
NIH · $4.4M · 2004
Frequent coauthors
- 129 shared
Constance D. Lehman
Massachusetts General Hospital
- 98 shared
Emily F. Conant
Hospital of the University of Pennsylvania
- 91 shared
Etta D. Pisano
University of Pennsylvania
- 87 shared
Constantine Gatsonis
Brown University
- 78 shared
Mark Rosen
California University of Pennsylvania
- 72 shared
Despina Kontos
Columbia University
- 56 shared
Anna N.A. Tosteson
Dartmouth Cancer Center
- 55 shared
Elisabeth F. Beaber
Fred Hutch Cancer Center
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