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Volume 7, June

Tomography, Volume 7, Issue 3 (September 2021) – 2 articles

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Commentary
Radiological Reporting of Urgencies Related to Medical Devices: Commentary on a Possible Systematic Approach
Tomography 2021, 7(3), 268-277; https://doi.org/10.3390/tomography7030024 - 29 Jun 2021
Viewed by 338
Abstract
Most medical devices are routinely recognized on radiological images and described as normal findings in the radiological report, but sometimes they can cause patient access to the emergency department. Multiple possible complications have been described and most of them require prompt recognition by [...] Read more.
Most medical devices are routinely recognized on radiological images and described as normal findings in the radiological report, but sometimes they can cause patient access to the emergency department. Multiple possible complications have been described and most of them require prompt recognition by radiologists for proper clinical management. This commentary proposes a systematic approach to radiological reporting of the most common emergent complications related to medical devices with the intent to avoid the omission of important findings in the final radiological report. Full article
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Article
Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
Tomography 2021, 7(3), 253-267; https://doi.org/10.3390/tomography7030023 - 23 Jun 2021
Viewed by 543
Abstract
This study characterizes the error that results when performing quantitative analysis of abbreviated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data of the breast with the Standard Kety–Tofts (SKT) model and its Patlak variant. More specifically, we used simulations and patient data to determine [...] Read more.
This study characterizes the error that results when performing quantitative analysis of abbreviated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data of the breast with the Standard Kety–Tofts (SKT) model and its Patlak variant. More specifically, we used simulations and patient data to determine the accuracy with which abbreviated time course data could reproduce the pharmacokinetic parameters, Ktrans (volume transfer constant) and ve (extravascular/extracellular volume fraction), when compared to the full time course data. SKT analysis of simulated abbreviated time courses (ATCs) based on the imaging parameters from two available datasets (collected with a 3T MRI scanner) at a temporal resolution of 15 s (N = 15) and 7.23 s (N = 15) found a concordance correlation coefficient (CCC) greater than 0.80 for ATCs of length 3.0 and 2.5 min, respectively, for the Ktrans parameter. Analysis of the experimental data found that at least 90% of patients met this CCC cut-off of 0.80 for the ATCs of the aforementioned lengths. Patlak analysis of experimental data found that 80% of patients from the 15 s resolution dataset and 90% of patients from the 7.27 s resolution dataset met the 0.80 CCC cut-off for ATC lengths of 1.25 and 1.09 min, respectively. This study provides evidence for both the feasibility and potential utility of performing a quantitative analysis of abbreviated breast DCE-MRI in conjunction with acquisition of current standard-of-care high resolution scans without significant loss of information in the community setting. Full article
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