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Published in: Insights into Imaging 1/2021

Open Access 01-12-2021 | Prostate Cancer | Educational Review

Differential diagnosis of uncommon prostate diseases: combining mpMRI and clinical information

Authors: Chao Han, Lina Zhu, Xiang Liu, Shuai Ma, Yi Liu, Xiaoying Wang

Published in: Insights into Imaging | Issue 1/2021

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Abstract

The differential diagnosis of abnormalities in the prostate is broad, covering common (acinar adenocarcinoma, benign prostatic hyperplasia, chronic prostatitis, hemorrhage, cysts, calcifications, atrophy and fibrosis) and less common conditions (tumors other than acinar adenocarcinoma, granulomatous prostatitis containing tuberculosis, abscesses and other conditions, and idiopathic disorders such as amyloidosis and exophytic benign prostatic hyperplasia). Recent advances in magnetic resonance imaging (MRI) of the prostate gland and imaging guidelines, such as the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1), have dramatically improved the ability to distinguish common abnormalities, especially the ability to detect clinically significant prostate cancer (csPCa). Overlap can exist in the clinical history and imaging features associated with various common/uncommon prostate abnormalities, and biopsy is often required but is invasive. Prostate abnormalities can be divided into two categories: category 1, diseases for which PI-RADS scores are suitable for use, and category 2, diseases for which PI-RADS scores are unsuitable for use. Radiologists must have an intimate knowledge of other diseases, especially uncommon conditions. Past relevant history, symptoms, age, serum prostate-specific antigen (PSA) levels, MRI manifestations, and the applicability of the PI-RADS assessment should be considered when diagnosing prostate abnormalities.
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Metadata
Title
Differential diagnosis of uncommon prostate diseases: combining mpMRI and clinical information
Authors
Chao Han
Lina Zhu
Xiang Liu
Shuai Ma
Yi Liu
Xiaoying Wang
Publication date
01-12-2021
Publisher
Springer International Publishing
Published in
Insights into Imaging / Issue 1/2021
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-021-01024-3

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