People

Samuel G. Armato, PhD

  • Associate Professor of Radiology
    Committee Chair of Committee on Medical Physics
    Committee on Medical Physics
  • Research and Scholarly Interests: chest radiography, computed tomography (CT), computer vision, computer-aided diagnosis, imaging physics, lung cancer, lung imaging, medical image analysis, medical physics, mesothelioma
  • Websites: Research Network Profile
  • Contact: sarmato@uchicago.edu
  • Graduate Programs: Medical Physics , Medical Physics

I have established my career through the development and evaluation of computerized techniques for the quantitative analysis of medical images and the assessment of tumor response to therapy. More specifically, my research has involved the computerized detection and evaluation of lung nodules in thoracic computed tomography (CT) scans, the assessment of image quality and pathologic change in temporally subtracted chest radiographic images, the computerized evaluation of mesothelioma tumor and response to therapy in CT scans, critical analyses of image-based tumor response assessment for mesothelioma, the development of objective CT-based metrics for the quantification of mucosal inflammation due to sinusitis, the application of radiomics to the pre- and post-treatment CT scans of radiation therapy patients to predict normal lung tissue complications, and the evaluation of reference standards for computer-aided diagnosis (CAD) research. As the local principal investigator for the Lung Image Database Consortium project that spanned 10 years and as the faculty director of the University of Chicago’s Human Imaging Research Office, I have extensive experience with interdisciplinary and multi-institutional image-based projects.

The University of Chicago
Chicago, IL
Ph.D. - Medical Physics
1997

The University of Chicago
Chicago, IL
B.A. - Physics
1987

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.
Deshpande P, Rasin A, Son J, Kim S, Brown E, Furst J, Raicu DS, Montner SM, Armato SG. Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J Digit Imaging. 2020 Jun; 33(3):797-813.
PMID: 32253657

Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.
Armato SG, Farahani K, Zaidi H. Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way. Med Phys. 2020 Jun; 47(6):2325-2328.
PMID: 32040865

Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis.
Foy JJ, Armato SG, Al-Hallaq HA. Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis. J Med Imaging (Bellingham). 2020 Jan; 7(1):014504.
PMID: 32118090

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion.
Gudmundsson E, Straus CM, Li F, Armato SG. Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion. J Med Imaging (Bellingham). 2020 Jan; 7(1):012705.
PMID: 32016133

Optimization of response classification criteria for patients with malignant pleural mesothelioma, a validation study.
Buikhuisen WA, Qayyum F, Armato SG, Baas P. Optimization of response classification criteria for patients with malignant pleural mesothelioma, a validation study. Lung Cancer. 2019 12; 138:139-140.
PMID: 31733933

Response.
MacMahon H, Li F, Jiang Y, Armato SG. Response. Chest. 2019 10; 156(4):810-811.
PMID: 31590714

EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach.
Nicholson AG, Sauter JL, Nowak AK, Kindler HL, Gill RR, Remy-Jardin M, Armato SG, Fernandez-Cuesta L, Bueno R, Alcala N, Foll M, Pass H, Attanoos R, Baas P, Beasley MB, Brcic L, Butnor KJ, Chirieac LR, Churg A, Courtiol P, Dacic S, De Perrot M, Frauenfelder T, Gibbs A, Hirsch FR, Hiroshima K, Husain A, Klebe S, Lantuejoul S, Moreira A, Opitz I, Perol M, Roden A, Roggli V, Scherpereel A, Tirode F, Tazelaar H, Travis WD, Tsao MS, van Schil P, Vignaud JM, Weynand B, Lang-Lazdunski L, Cree I, Rusch VW, Girard N, Galateau-Salle F. EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach. J Thorac Oncol. 2020 01; 15(1):29-49.
PMID: 31546041

Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesothelioma Applied Research Foundation Clinical Trials Planning Meeting.
Gill RR, Tsao AS, Kindler HL, Richards WG, Armato SG, Francis RJ, Gomez DR, Dahlberg S, Rimner A, Simone CB, de Perrot M, Blumenthal G, Adjei AA, Bueno R, Harpole DH, Hesdorffer M, Hirsch FR, Pass HI, Yorke E, Rosenzweig K, Burt B, Fennell DA, Lindwasser W, Malik S, Peikert T, Mansfield AS, Salgia R, Yang H, Rusch VW, Nowak AK. Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesothelioma Applied Research Foundation Clinical Trials Planning Meeting. J Thorac Oncol. 2019 10; 14(10):1718-1731.
PMID: 31470129

Critical Challenges to the Management of Clinical Trial Imaging: Recommendations for the Conduct of Imaging at Investigational Sites.
Gruszauskas NP, Armato SG. Critical Challenges to the Management of Clinical Trial Imaging: Recommendations for the Conduct of Imaging at Investigational Sites. Acad Radiol. 2020 02; 27(2):300-306.
PMID: 31097377

Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists.
MacMahon H, Li F, Jiang Y, Armato SG. Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists. Chest. 2019 07; 156(1):112-119.
PMID: 30981723

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Fellow
Society of Photo-Optical Instrumentation Engineers (SPIE)
2018

Distinguished Investigator
Academy of Radiology Research
2016

Fellow
American Association of Physicists in Medicine
2014

Kurt Rossmann Award for Excellence in Medical Physics Teaching
The University of Chicago
2012

Raine Visiting Professor
University of Western Australia
2009

Kurt Rossmann Award for Excellence in Medical Physics Teaching
The University of Chicago
2002