Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer-Reference-Cited by-同舟云学术

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Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer

Published:2015-08 Issue:8 Volume:50 Page:483-489
ISSN:0020-9996
Container-title:Investigative Radiology
language:en
Short-container-title:Investigative Radiology

Author:

Roethke Matthias C.,Kuder Tristan A.,Kuru Timur H.,Fenchel Michael,Hadaschik Boris A.,Laun Frederik B.,Schlemmer Heinz-Peter,Stieltjes Bram

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference36 articles.

1. Magnetic Resonance Imaging/Ultrasound–Fusion Biopsy Significantly Upgrades Prostate Cancer Versus Systematic 12-core Transrectal Ultrasound Biopsy

2. Evaluation of the Prostate Imaging Reporting and Data System for the Detection of Prostate Cancer by the Results of Targeted Biopsy of the Prostate

3. 1.5-T Magnetic Resonance–Guided Transgluteal Biopsies of the Prostate in Patients With Clinically Suspected Prostate Cancer

4. Prostate Cancer: Value of Multiparametric MR Imaging at 3 T for Detection—Histopathologifc Correlation

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1. Unveiling the diagnostic potential of diffusion kurtosis imaging and intravoxel incoherent motion for detecting and characterizing prostate cancer: a meta-analysis;Abdominal Radiology;2024-07-31

2. Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer;Gland Surgery;2023-12

3. Quantitative diffusion MRI in prostate cancer: Image quality, what we can measure and how it improves clinical assessment;European Journal of Radiology;2023-10

4. Unenhanced magnetic resonance imaging of papillary thyroid carcinoma with emphasis on diffusion kurtosis imaging;Quantitative Imaging in Medicine and Surgery;2023-04

5. Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging;PLOS ONE;2023-02-27

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