Quantitative Characterization of the Prostatic Urethra Using MRI: Implications for Lower Urinary Tract Symptoms in Patients with Benign Prostatic Hyperplasia.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
05 2021
Historique:
received: 15 01 2020
revised: 11 03 2020
accepted: 14 03 2020
pubmed: 21 4 2020
medline: 20 5 2021
entrez: 21 4 2020
Statut: ppublish

Résumé

The aim of this study was to perform a quantitative assessment of the prostate anatomy with a focus on the relation of prostatic urethral anatomic variation to urinary symptoms. This retrospective study involved patients undergoing magnetic resonance imaging for prostate cancer who were also assessed for lower urinary tract symptoms. Volumetric segmentations were utilized to derive the in vivo prostatic urethral length and urethral trajectory in coronal and sagittal planes using a piece-wise cubic spline function to derive the angle of the urethra within the prostate. Association of anatomical factors with urinary symptoms was evaluated using ordinal univariable and multivariable logistic regression with IPSS score cutoffs of ≤7, 8-19, and >20 to define mild, moderate, and severe symptoms, respectively. A total of 423 patients were included. On univariable analysis, whole prostate volume, transition zone volume, prostatic urethral length, urethral angle, and retrourethral volume were all significantly associated with worse urinary symptoms. On multivariable analysis prostatic urethral length was associated with urinary symptoms with a normalized odds ratio of 1.5 (95% confidence interval 1.0-2.2, p = 0.04). In a subset analysis of patients on alpha blockers, maximal urethral angle, transition zone volume as well as urethral length were all associated with worse urinary symptoms. Multiple parameters were associated with worse urinary symptoms on univariable analysis, but only prostatic urethral length was associated with worse urinary symptoms on multivariable analysis. This study demonstrates the ability of quantitative assessment of prostatic urethral anatomy to predict lower urinary tract symptoms.

Identifiants

pubmed: 32307270
pii: S1076-6332(20)30158-6
doi: 10.1016/j.acra.2020.03.017
pmc: PMC8456710
mid: NIHMS1734645
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

664-670

Subventions

Organisme : Intramural NIH HHS
ID : ZIA BC011081
Pays : United States
Organisme : Intramural NIH HHS
ID : ZID BC011242
Pays : United States
Organisme : Intramural NIH HHS
ID : Z01 BC010655
Pays : United States
Organisme : CCR NIH HHS
ID : HHSN261200800001C
Pays : United States
Organisme : NCI NIH HHS
ID : HHSN261200800001E
Pays : United States

Informations de copyright

Published by Elsevier Inc.

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Auteurs

Thomas H Sanford (TH)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD.

Stephanie A Harmon (SA)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD; Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD.

Deepak Kesani (D)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD.

Sandeep Gurram (S)

Urologic Oncology Branch, National Cancer Institute, Bethesda MD.

Nikhil Gupta (N)

Urologic Oncology Branch, National Cancer Institute, Bethesda MD.

Sherif Mehralivand (S)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD.

Jonathan Sackett (J)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD.

Scott Wiener (S)

SUNY Upstate Medical Center, Syracuse, NY.

Bradford J Wood (BJ)

Center for Interventional Oncology, National Cancer Institute, Bethesda, MD.

Sheng Xu (S)

Center for Interventional Oncology, National Cancer Institute, Bethesda, MD.

Peter A Pinto (PA)

Urologic Oncology Branch, National Cancer Institute, Bethesda MD.

Peter L Choyke (PL)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD.

Baris Turkbey (B)

Molecular Imaging Program, National Cancer Institute, 10 Center Drive, Room B3B85, Bethesda 20892, MD. Electronic address: turkbeyi@mail.nih.gov.

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