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Grant, Katharine L.

A5003572172 | I1330342723

Mayo Clinic

Mayo Clinic

Citations 7

Spatial Distribution of Iron Within the Normal Human Liver Using Dual-Source Dual-Energy CT Imaging

Investigative Radiology | May 31, 2017 | Volume: 52 | Issue: 11 | Pages: 693-700

10.1097/rli.0000000000000393 | PMID 28562414

Objectives Explore the potential of dual-source dual-energy (DSDE) computed tomography (CT) to retrospectively analyze the uniformity of iron distribution and establish iron concentration ranges and distribution patterns found in healthy livers. Materials and Methods Ten mixtures consisting of an iron nitrate solution and deionized water were prepared in test tubes and scanned using a DSDE 128-slice CT system. Iron images were derived from a 3-material decomposition algorithm (optimized for the quantification of iron). A conversion factor (mg Fe/mL per Hounsfield unit) was calculated from this phantom study as the quotient of known tube concentrations and their corresponding CT values. Retrospective analysis was performed of patients who had undergone DSDE imaging for renal stones. Thirty-seven patients with normal liver function were randomly selected (mean age, 52.5 years). The examinations were processed for iron concentration. Multiple regions of interest were analyzed, and iron concentration (mg Fe/mL) and distribution was reported. Results The mean conversion factor obtained from the phantom study was 0.15 mg Fe/mL per Hounsfield unit. Whole-liver mean iron concentrations yielded a range of 0.0 to 2.91 mg Fe/mL, with 94.6% (35/37) of the patients exhibiting mean concentrations below 1.0 mg Fe/mL. The most important finding was that iron concentration was not uniform and patients exhibited regionally high concentrations (36/37). These regions of higher concentration were observed to be dominant in the middle-to-upper part of the liver (75%), medially (72.2%), and anteriorly (83.3%). Conclusions Dual-source dual-energy CT can be used to assess the uniformity of iron distribution in healthy subjects. Applying similar techniques to unhealthy livers, future research may focus on the impact of hepatic iron content and distribution for noninvasive assessment in diseased subjects.
Feasibility of Discriminating Uric Acid From Non–Uric Acid Renal Stones Using Consecutive Spatially Registered Low- and High-Energy Scans Obtained on a Conventional CT Scanner

American Journal of Roentgenology | December 24, 2014 | Volume: 204 | Issue: 1 | Pages: 92-97

10.2214/ajr.13.11911 | PMID 25539242

Subtraction Color Map of Contrast-Enhanced and Unenhanced CT for the Prediction of Pancreatic Necrosis in Early Stage of Acute Pancreatitis

American Journal of Roentgenology | March 24, 2014 | Volume: 202 | Issue: 4 | Pages: W349-W356

10.2214/ajr.13.10957 | PMID 24660733

Electronic Noise in CT Detectors: Impact on Image Noise and Artifacts

American Journal of Roentgenology | September 24, 2013 | Volume: 201 | Issue: 4 | Pages: W626-W632

10.2214/ajr.12.10234 | PMID 24059402

Automatic Selection of Tube Potential for Radiation Dose Reduction in Vascular and Contrast-Enhanced Abdominopelvic CT

American Journal of Roentgenology | July 24, 2013 | Volume: 201 | Issue: 2 | Pages: W297-W306

10.2214/ajr.12.9610 | PMID 23883244

Lowering Kilovoltage to Reduce Radiation Dose in Contrast-Enhanced Abdominal CT: Initial Assessment of a Prototype Automated Kilovoltage Selection Tool

American Journal of Roentgenology | October 24, 2012 | Volume: 199 | Issue: 5 | Pages: 1070-1077

10.2214/ajr.12.8637 | PMID 23096181

Dose Reduction to Anterior Surfaces With Organ-Based Tube-Current Modulation: Evaluation of Performance in a Phantom Study

American Journal of Roentgenology | August 23, 2011 | Volume: 197 | Issue: 3 | Pages: 689-695

10.2214/ajr.10.6061 | PMID 21862813