Diagnosis Commons^™

Contrast-Enhanced Cardiac Magnetic Resonance Imaging With A Manganese-Based Alternative To Gadolinium For Tissue Characterization Of Acute Myocardial Infarction, Benjamin P. Bonner, Salva R. Yurista, Jaume Coll-Font, Shi Chen, Robert A. Eder, Anna N. Foster, Khoi D. Nguyen, Peter Caravan, Eric M. Gale, Christopher Nguyen

School of Medicine Faculty Publications

BACKGROUND: Late gadolinium enhancement cardiac magnetic resonance imaging is an effective and reproducible method for characterizing myocardial infarction. However, gadolinium-based contrast agents are contraindicated in patients with acute and chronic renal insufficiency. In addition, several recent studies have noted tissue deposition of free gadolinium in patients who have undergone serial contrast-enhanced magnetic resonance imaging. There is a clinical need for alternative forms of magnetic resonance imaging contrast agents that are acceptable in the setting of renal insufficiency. METHODS AND RESULTS: Three days after 80 minutes of ischemia/reperfusion of the left anterior descending coronary artery, cardiac magnetic resonance imaging was performed …

Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling To Assess Peripheral Artery Disease, Olga A. Gimnich, Tatiana Belousova, Christina M. Short, Addison A. Taylor, Vijay Nambi, Joel D. Morrisett, Christie M. Ballantyne, Jean Bismuth, Dipan J. Shah, Gerd Brunner

School of Medicine Faculty Publications

BACKGROUND: Computational fluid dynamics has shown good agreement with contrast-enhanced magnetic resonance imaging measurements in cardiovascular disease applications. We have developed a biomechanical model of microvascular perfusion using contrast-enhanced magnetic resonance imaging signal intensities derived from skeletal calf muscles to study peripheral artery disease (PAD). METHODS AND RESULTS: The computational microvascular model was used to study skeletal calf muscle perfusion in 56 in-dividuals (36 patients with PAD, 20 matched controls). The recruited participants underwent contrast-enhanced magnetic resonance imaging and ankle-brachial index testing at rest and after 6-minute treadmill walking. We have determined associations of microvascular model parameters including the transfer …

Imaging Based Prediction Of Pathology In Adult Diffuse Glioma With Applications To Therapy And Prognosis, Evan Gates

Dissertations & Theses (Open Access)

The overall aggressiveness of a glioma is measured by histologic and molecular analysis of tissue samples. However, the well-known spatial heterogeneity in gliomas limits the ability for clinicians to use that information to make spatially specific treatment decisions. Magnetic resonance imaging (MRI) visualizes and assesses the tumor. But, the exact degree to which MRI correlates with the actual underlying tissue characteristics is not known.

In this work, we derive quantitative relationships between imaging and underlying pathology. These relations increase the value of MRI by allowing it to be a better surrogate for underlying pathology and they allow evaluation of the …

What Are The Recommended Timing And Screening Modalities For Women At Higher Risk Of Developing Breast Cancer? A Clin-Iq, Summer Jatala, Shawn Fitzgerald, Pamela Tietze, Kalyanakrishnan Ramakrisnan, Laine H. Mccarthy, Elizabeth Wickersham

Journal of Patient-Centered Research and Reviews

Early detection of breast cancer is desirable to prevent progression to advanced disease. This subject has been one of significant study and debate for women at normal risk, and recommendations continue to evolve. However, with regard to women at high risk, the recommendations from various health care professional organizations, including the U.S. Preventive Services Task Force, are different and also inconsistent concerning when to begin screening and which modalities should be used. We review several randomized controlled trials and consensus opinions regarding when to begin screening for breast cancer and how to best screen women at high risk. Specifically, we …

Statistical Hypothesis Testing For Postreconstructed And Postregistered Medical Images, Eugene Demidenko

Dartmouth Scholarship

Postreconstructed and postregistered medical images are typically treated as the raw data, implicitly assuming that those operations are error free. We question this assumption and explore how the precision of reconstruction and affine registration can be assessed by the image covariance matrix and confidence interval, called the confidence eigenimage, using a statistical model-based approach. Various hypotheses may be tested after image reconstruction and registration using classical statistical hypothesis testing vehicles: Is there a statistically significant difference between images? Does the intensity at a specific location or area of interest belong to the “normal” range? Is there a tumor? Does the …