Hypogonadism and prostate cancer detection on multiparametric MRI and mpMRI-TRUS fusion biopsy.


Journal

International urology and nephrology
ISSN: 1573-2584
Titre abrégé: Int Urol Nephrol
Pays: Netherlands
ID NLM: 0262521

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 07 10 2019
accepted: 28 11 2019
pubmed: 7 12 2019
medline: 27 1 2021
entrez: 7 12 2019
Statut: ppublish

Résumé

Currently, there is a dearth of data concerning the impact of hypogonadism on prostate cancer detection by imaging. In this study, we evaluated the performance of multiparametric MRI (mpMRI) and mpMRI-TRUS fusion biopsy in hypogonadal patients. Clinical and pathologic data from a prospectively maintained, single-institution database of patients who underwent 3T mpMRI and fusion biopsy between 2007 and 2016 were analyzed. Hypogonadism was defined by an institutional cutoff of serum testosterone ≤ 180 ng/dL; T2, DWI, and DCE scores were calculated from mpMRI. Cancer detection rates were compared by Chi-square tests. Multivariate logistic regression was undertaken to evaluate the impact of hypogonadism on clinically significant cancer detection by systematic and fusion biopsy. We included 522 patients in our study who had total testosterone levels measured within 90 days of mpMRI. Of these, 49 (9.4%) were hypogonadal. Median total testosterone was 148 ng/dL (IQR 41) in the hypogonadal group, and 304 ng/dL (IQR 132) in the normogonadal group (p < 0.001). Imaging results were comparable between the hypo and normogonadal groups. In the hypogonadal group, systematic biopsy detected clinically significant cancer in 28.6% of patients compared to 40.8% with fusion biopsy. In the normogonadal cohort, systematic and fusion biopsy detected 37.3% and 43.2% CS cancer, respectively. In the hypogonadal cohort, fusion biopsy detected 12.2% more CS cancers compared to systematic biopsy, while it detected only 5.9% more in the normogonadal cohort. On multivariate analysis, hypogonadism was found to be an independent predictor of decreased CS cancer detection on systematic (p = 0.048), but not on fusion biopsy (p = 0.170). Hypogonadism is an independent predictor of lower CS cancer detection on systematic biopsy. However, it fails to significantly impact CS detection on fusion biopsy with comparable cancer detection rates in both groups. Patients with hypogonadism may benefit more from fusion biopsy than normogonadal patients.

Identifiants

pubmed: 31807974
doi: 10.1007/s11255-019-02354-4
pii: 10.1007/s11255-019-02354-4
pmc: PMC8274948
mid: NIHMS1708418
doi:

Substances chimiques

Testosterone 3XMK78S47O
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

633-638

Subventions

Organisme : Intramural NIH HHS
ID : Z01 BC010655
Pays : United States
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 : ZIE SC000853
Pays : United States

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Auteurs

Dordaneh Sugano (D)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Abhinav Sidana (A)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Amit L Jain (AL)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. jain.amitlodha@gmail.com.

Brian Calio (B)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Sonia Gaur (S)

Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Mahir Maruf (M)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Maria Merino (M)

Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Peter Choyke (P)

Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Baris Turkbey (B)

Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Bradford J Wood (BJ)

Center for Interventional Oncology, National Cancer Institute and Clinical Center, National Institutes of Health, Bethesda, MD, USA.

Peter A Pinto (PA)

Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

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Classifications MeSH