2018
DOI: 10.1016/j.acra.2017.10.004
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Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer

Abstract: Quantitative parameters from empirical mathematical model fits to ultrafast DCE-MRI improve diagnosis of PCa. DCE-MRI with higher temporal resolution may capture clinically useful information for PCa diagnosis that would be missed by low temporal resolution DCE-MRI. This new information could improve the performance of multiparametric MRI in PCa detection.

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Cited by 32 publications
(29 citation statements)
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“…Although the precise physiological explanation of enhancement on DCE remains ambiguous (e.g., angiogenesis and increased microvessel density) [ 19 ], early intensity changes were indicative for malignancy ( Figure 2 ). This is in line with studies in breast cancer with an earlier time of arrival of contrast bolus in the malignant lesion [ 15 , 16 , 17 ]. Although the thin mucosal hypervascular layer and normal tonsillar tissue might interfere with the detection UPT, no other hypervascular lesions are generally present in the head and neck area.…”
Section: Discussionsupporting
confidence: 90%
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“…Although the precise physiological explanation of enhancement on DCE remains ambiguous (e.g., angiogenesis and increased microvessel density) [ 19 ], early intensity changes were indicative for malignancy ( Figure 2 ). This is in line with studies in breast cancer with an earlier time of arrival of contrast bolus in the malignant lesion [ 15 , 16 , 17 ]. Although the thin mucosal hypervascular layer and normal tonsillar tissue might interfere with the detection UPT, no other hypervascular lesions are generally present in the head and neck area.…”
Section: Discussionsupporting
confidence: 90%
“…Quantification based on delineated region of interest, has been introduced previously in DCE [ 15 , 16 ] in order to optimize detecting occult primary tumors. Although voluminous quantitative parameters did not showed increased accuracy [ 1 ], semi-quantitative parameters describing the area under the curve, time-to-peak or upslope angle might increase detection performance, and should be assessed in future studies.…”
Section: Discussionmentioning
confidence: 99%
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“…The baseline signal intensity value ( S 0 ) of each voxel was calculated by averaging the signal intensity ( S(t) ) of the five pre-contrast time points. Then, the percentage signal enhancement ( PSE ) as a function of time was calculated as: italicPSE(t)=S(t)S0S00.2em×100The initial time of enhancement for each voxel was found using an iterative method described in a previous study (29). The maximum enhancement projections (MEP) were generated by finding the maximum PSE value of each voxel.…”
Section: Methodsmentioning
confidence: 99%
“…Multiparametric MR images for all 76 patients were loaded on a PCampReview custom module in an open-source software platform for medical image informatics, image processing, and 3D visualization (3D Slicer) [21]. Two radiologists with 15 and 3 years of experience in prostate MRI who were blinded to the pathologic results reviewed the T2-weighted images and drew ROIs on wedge-shaped areas of hypointensity on the T2-weighted images.…”
Section: Methodsmentioning
confidence: 99%