Contrast- vs. non-contrast enhanced MR data sets for characterization of perianal fistulasPerianal fistulaMRICrohn’s diseaseContrast agentTo evaluate the diagnostic efficacy between pre- and post-contrast MRI sequences in perianal fistulas using intra-operative findings as the gold standard.Retrospective...
The purpose was to compare contrast-enhanced PET/CT (cePET/CT) and non contrast-enhanced PET/MRI (PET/MRI) concerning diagnostic accuracy in evaluation of abdominal lesions. METHOD AND MATERIALS 21 patients (mean age 59.5 years, range 35 to 78 years, 11 female, 10 male) with suspected ...
Generally, greater head involvement was depicted by contrast compared with non-contrast MRI (Pearson r = 0.37, P = 0.04). Conclusion Pre- and postcontrast MRI assess two different components of stage I LCP. However, contrast-enhanced MRI more clearly depicts the area of involvement. 展开 ...
Generally, greater head involvement was depicted by contrast compared with non-contrast MRI (Pearson r = −0.37, P = 0.04). Conclusion Pre- and postcontrast MRI assess two different components of stage I LCP. However, contrast-enhanced MRI more clearly depicts the area of involvement...
interval progression, defined by as at least one new or unequivocally enlarged lesion on follow-up MRI scans. There were a total of 1,992 new or enlarged lesions. With 3T MRI, the assessment of interval progression did not differ significantly between the contrast-enhanced and non-enhanced ...
Objective To compare the clinical outcomes of patients selected for mechanical thrombectomy by noncontrast computed tomography (CT) vs those selected by computed tomography perfusion (CTP) or magnetic resonance imaging (MRI) in the extended time window. Design, Setting, and Participants This multinationa...
1999). However, the size of the nonperfused area on first-pass perfusion images is often smaller than the final infarct area. Therefore, there is a need to obtain other measures of cell viability. The application of Mn2+ contrast enhancement to cardiac MRI, either in the form of paramagnetic...
Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11071 LNCS, 777–785 (Med Image Comput Comput Assist Interv, 2018). Kalantar...
Afterwards GTVFET was compared with GTVDOTATOC as well as GTVFET and GTVDOTATOC were compared with GTVCT/MRI. The relative overlap and non-overlap volumes of these GTVs were calculated as described before by Astner et al. [13] (Fig. 1): In detail, the data analysis of each volume usi...
We present PANDA, an AI model that detects the seven most common pancreatic lesions and ‘other’, and diagnoses the lesion subtypes in routine non-contrast CT scans. This task has long been considered impossible for radiologists and, as such, contrast-enhanced CT and/or MRI and endoscopic ult...