Publications by authors named "David C Gimarc"

3 Publications

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Osseous Pathology on Wrist Magnetic Resonance Imaging.

Authors:
David C Gimarc

Top Magn Reson Imaging 2020 Oct;29(5):245-261

Department of Radiology, University of Colorado School of Medicine - Anschutz Medical Campus, Aurora, CO.

Advanced imaging of the osseous structures of the wrist by magnetic resonance imaging (MRI) yields powerful information regarding marrow composition and overall bone structure. Various forms of pathology, both benign and malignant, have unique marrow signal abnormalities that can be easily detected by MRI given its high sensitivity to radiographically occult processes. In particular, osseous pathology can be seen in the setting of traumatic, degenerative, congenital, infectious, and neoplastic conditions. The acuity or chronicity of these conditions can often be determined by imaging to aid in appropriate therapy. A thorough understanding of the breadth of pathology and corresponding MRI appearances can allow the interpreting radiologist to formulate a concise and accurate assessment of an examination.
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http://dx.doi.org/10.1097/RMR.0000000000000257DOI Listing
October 2020

Shoulder MR Imaging Versus Ultrasound: How to Choose.

Magn Reson Imaging Clin N Am 2020 May 26;28(2):317-330. Epub 2020 Feb 26.

Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, E3/342, Madison, WI 53792, USA.

Imaging evaluation of the shoulder is performed using multiple modalities, including ultrasound (US) and MR imaging. Clinicians often wonder which modality to use to work up their patients with shoulder pain. Although MR imaging has remained the workhorse of shoulder imaging, US has increased in popularity among academic and private institutions. Both modalities offer similar diagnostic information in regards to rotator cuff pathology and other soft tissues, although they differ in their technique, indications, and interpretation. A thorough understanding of these differences is imperative to appropriately use these modalities in clinical practice, including the unique interventional opportunities available with US.
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http://dx.doi.org/10.1016/j.mric.2019.12.012DOI Listing
May 2020

Big Data and Machine Learning: A Resident's Perspective of the 2016 Intersociety Conference.

J Am Coll Radiol 2018 01 9;15(1 Pt A):114-115. Epub 2017 Sep 9.

Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Miami, Florida.

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http://dx.doi.org/10.1016/j.jacr.2017.07.021DOI Listing
January 2018
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