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Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29641
Abstract: To assess the feasibility and reliability of a DWI protocol based on spatiotemporally encoding (SPEN), to target prostate lesions along guidelines normally used in EPI‐based DWI clinical practice.
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Keywords:
feasibility;
prostate lesions;
lesions characterization;
using diffusion ... See more keywords
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Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.07.002
Abstract: PURPOSE To test the potential impact of pharmacokinetic parameters, derived from DCE-MRI analysis, on the diagnostic performance of PI-RADSv.2 classification in prostate lesions characterization. METHOD Among patients who underwent multiparametric prostate MRI (mpMRI) (January 2016-March…
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Keywords:
prostate lesions;
mri;
dce mri;
false positive ... See more keywords
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Published in 2018 at "Radiology"
DOI: 10.1148/radiol.2018173064
Abstract: Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of prostate lesions detected during prospective MRI interpretation. Materials and Methods This single-institution study included 316…
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Keywords:
machine learning;
adc;
prostate lesions;
radiomic machine ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/3613540
Abstract: Objective To assess the diagnostic usefulness of magic in conjunction with PI-RADS v2.1 for prostate cancer malignant foci. Methods A total of 202 lesions (97 transitional zone lesions and 105 peripheral zone lesions) from 198…
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Keywords:
malignant prostate;
prostate;
benign malignant;
rads score ... See more keywords
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Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.934108
Abstract: Objective To compare the performance of different imaging classifiers in the prospective diagnosis of prostate diseases based on multiparameter MRI. Methods A total of 238 patients with pathological outcomes were enrolled from September 2019 to…
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Keywords:
regression;
logistic regression;
mri;
prostate lesions ... See more keywords