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null Caroline Reinhold, MD, M.Sc., FRCPSC, ABR

Investigator, RI-MUHC

Cancer Research Program

Centre for Outcomes Research and Evaluation

Tenured Professor, Department of Diagnostic Radiology, Faculty of Medicine and Health Sciences, McGill University

Department of Medical Imaging, Division of Diagnostic Radiology, MUHC

 

Keywords

gynecological and abdominal imaging • oncology • general AI medical applications • multiomic application including molecular profiling

Research Focus

My research focuses on the evaluation of benign and malignant gynecological disease processes using advanced MRI techniques for disease prediction and outcomes. Additionally, in recent years, my research has focused on quantitative image analysis and artificial intelligence (AI). I co-founded and serve as Director of the Augmented Intelligence Precision Health Laboratory (AIPHL), which consists of a multidisciplinary team of scientists and clinicians, including computer scientists and machine learning experts, working within the hospital system to develop unique non-invasive, image-based signatures that form the basis of AI clinical assistant tools for precision medicine. The AIPHL is involved in the inception, development, and validation of clinical AI applications in partnership with other academic teams and industry. A major area of clinical translation includes gynecologic oncology, through precision diagnostics and therapeutics. Advanced biomedical imaging technologies, along with clinical imaging features, molecular, genomic, proteomic, and other clinical data, are used for precision health and biomarker development. Therefore, one of the major areas of interest and strength is leading the translation of machine learning algorithms for implementation in the clinical setting. I am currently Associate Chair of Research in the Department of Diagnostic Radiology at McGill University.

Selected Publications

Click on Pubmed to see my current publications list

  • Sadowski EA; Thomassin-Naggara I; Rockall A; Maturen KE; Forstner R; Jha P; Nougaret S; Siegelman ES and Reinhold C. (2022) O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. Radiology, 303 (1), 35-47. DOI: 10.1148/radiol.204371. PMID: 35040672.

  • Lefebvre T; Ueno Y; Dohan A; Chatterjee A; Vallières M; Winter-Reinhold E; Saif S; Levesque I; Zeng X; Forghani R; Seuntjens J; Soyer P; Savadjiev P; Reinhold C. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer. Radiology. 2022 Jul 12. DOI: 10.1148/radiol.212873. PMID: 35819326.

  • Reinhold C; Ueno Y; Akin EA; Bhosale PR; Dudiak KM; Jhingran A; Kang SK; Kilcoyne A; Lakhman Y; Nicola R; Pandharipande PV; Paspulati R; Shinagare AB; Small W Jr; Vargas HA; Whitcomb BP; Glanc P. Expert Panel on GYN and OB Imaging. ACR Appropriateness Criteria® Pretreatment Evaluation and Follow-Up of Endometrial Cancer. J. Am. Coll. Radiol. 2020; 17(11S):S472-S486. DOI: 10.1016/j.jacr.2020.09.001. PMID: 33153558.

  • Hindman N, Kang S, Fournier L, Lakhman Y, Nougaret S, Reinhold C, Sadowski E, Huang JQ, Ascher S. MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement. Radiology. 2023 Feb; 306(2):e211658. DOI: 10.1148/radiol.211658. PMID: 36194109.