Constantine Gatsonis

About

Constantine A. Gatsonis is the Henry Ledyard Goddard University Professor of Statistical Sciences at Brown University and serves as the Director of the Center for Biostatistics and Health Data Science. Educated at Princeton and Cornell, he joined the Brown faculty in 1995. Dr. Gatsonis is a leading authority on the evaluation of diagnostic and screening tests, with significant contributions to methods for medical technology assessment, health services, and outcomes research. He is a world leader in applying and synthesizing evidence on diagnostic tests in medicine and is currently developing methods for Comparative Effectiveness Research in diagnosis, prediction, and radiomics. His work includes extensive involvement in statistical methods for the evaluation of diagnostic tests and biomarkers, with a focus on ROC analysis, Bayesian methods, and study design in diagnostic test validation. Dr. Gatsonis has contributed to hierarchical regression models analyzing variations in healthcare utilization and outcomes, meta-analyses of diagnostic test accuracy, and variability in diagnostic performance among radiologists and institutions. He has held leadership roles in national committees, including chairing the Committee on Applied and Theoretical Statistics of the National Academies, and is a fellow of the American Statistical Association. Since 2016, he has served as a statistical consultant for the New England Journal of Medicine and has held editorial positions in prominent…

Research topics

• Medicine
• Internal medicine
• Psychology
• Nuclear medicine
• Neuroscience
• Radiology

Selected publications

• Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening

  JAMA · 2020 · 447 citations

  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 sit…

  DOI

• Association Between Ambient Air Pollution and Amyloid Positron Emission Tomography Positivity in Older Adults With Cognitive Impairment

  JAMA Neurology · 2020 · 118 citations

  Importance: Amyloid-β (Aβ) deposition is a feature of Alzheimer disease (AD) and may be promoted by exogenous factors, such as ambient air quality. Objective: To examine the association between the likelihood of amyloid positron emission tomography (PET) scan positivity and ambient air quality in individuals with cognitive impairment. Design, Setting, and Participants: This cross-sectional study used data from the Imaging Dementia-Evidence for Amyloid Scanning Study, which included more than 18…

  DOI

• The Longitudinal Early‐onset Alzheimer's Disease Study (LEADS): Framework and methodology

  Alzheimer s & Dementia · 2021 · 82 citations

  F]Flortaucipir positron emission tomography (PET), lumbar puncture, and blood draw for DNA, RNA, plasma, serum and peripheral blood mononuclear cells, and post-mortem assessment. To develop more effective AD treatments, scientists need to understand the genetic, biological, and clinical processes involved in EOAD. LEADS will develop a public resource that will enable future planning and implementation of EOAD clinical trials.

  DOI

• Amyloid Positron Emission Tomography and Subsequent Health Care Use Among Medicare Beneficiaries With Mild Cognitive Impairment or Dementia

  JAMA Neurology · 2023-10-09 · 16 citations

  articleOpen accessSenior author

  Importance: Results of amyloid positron emission tomography (PET) have been shown to change the management of patients with mild cognitive impairment (MCI) or dementia who meet Appropriate Use Criteria (AUC). Objective: To determine if amyloid PET is associated with reduced hospitalizations and emergency department (ED) visits over 12 months in patients with MCI or dementia. Design, Setting, and Participants: This nonrandomized controlled trial analyzed participants in the Imaging Dementia-Evide…

  PublisherOA PDFDOI

• Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial

  JAMA Network Open · 2024-01-30 · 13 citations

  articleOpen access

  Importance: The National Lung Screening Trial (NLST) found that screening for lung cancer with low-dose computed tomography (CT) reduced lung cancer-specific and all-cause mortality compared with chest radiography. It is uncertain whether these results apply to a nationally representative target population. Objective: To extend inferences about the effects of lung cancer screening strategies from the NLST to a nationally representative target population of NLST-eligible US adults. Design, Settin…

  PublisherOA PDFDOI

Recent grants

• NIH Grant U01CA079778

  NIH · $49.5M · 2013

• ECOG-ACRIN Network Group Statistics and Data Management Center

  NIH · $151.8M · 2014–2026

• NIH Grant U01CA074696

  NIH · $1.3M · 2003

Frequent coauthors

• Etta D. Pisano

  University of Pennsylvania

  160 shared

• Bradley S. Snyder

  Brown University

  145 shared

• Arnold M. Epstein

  Brigham and Women's Hospital

  106 shared

• Lucy Hanna

  Providence College

  95 shared

• Suddhasatta Acharyya

  Daiichi Sankyo (United States)

  94 shared

• Eric C. Schneider

  92 shared

• Martin J. Yaffe

  Ontario Institute for Cancer Research

  88 shared

• Mitchell D. Schnall

  University of Pennsylvania

  87 shared

Education

• Ph.D.

  Princeton

• M.S.

  Cornell

Awards & honors

• Fellow of the American Statistical Association

Similar researchers at Brown University

• Christopher Schmidh-151
• Thomas Trikalinosh-89
• George Papandonatosh-70