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MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model.

Publication ,  Journal Article
Dai, JC; Morgan, TN; Goueli, R; Parrott, D; Kenigsberg, A; Mauck, RJ; Roehrborn, CG; Strand, DW; Costa, DN; Gahan, JC
Published in: J Endourol
March 2022

Background: Histologic phenotypic variation of benign prostatic hyperplasia (BPH) has been hypothesized to underlie response to medical therapy. We evaluate preoperative MRI of robot-assisted simple prostatectomy (RASP) specimens and determine imaging features associated with histologic phenotype. Materials and Methods: All patients undergoing RASP from November 2015 to November 2019 with a multiparametric MRI ≤1 year before RASP were included. Patients without identifiable BPH nodules on histologic specimens were excluded. Histology slides were obtained from whole mount adenoma specimens and corresponding MRI were reviewed and graded independently by a blinded expert in BPH histopathology (D.W.S.) and an experienced radiologist specializing in prostate imaging (D.N.C.), respectively. Each nodule was assigned a phenotypic score on a 5-point Likert scale (1 = predominantly glandular; 5 = predominantly stromal) by each reviewer. Scores were compared using the sign test and univariate analysis. Signal intensity relative to background transition zone and nodule texture were noted on T2, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) imaging sequences. Univariate and multivariate stepwise linear regression analysis were conducted to identify MRI features associated with histology score. All analyses were performed using Statistical Analysis System (version 9.4). Results: A total of 99 prostate nodules in 29 patients were included. Median phenotypic scores by histology and MRI were comparable (2, interquartile range [IQR] 2-3 vs 2, IQR 2-4, respectively; p = 0.63). Histology scores were positively correlated with MRI scores (Pearson's correlation 0.84, p < 0.0001). Multivariate stepwise linear regression analysis showed that low apparent diffusion coefficient (ADC) signal intensity (p < 0.001) and DCE wash-in (p = 0.03) were positively associated with more stromal histology, whereas ADC standard deviation (p = 0.03), DCE wash-out (p = 0.001), and heterogeneous T2 texture (p = 0.003) were associated with more glandular histology. Conclusion: There is a strong correlation between MRI features and the histologic phenotype of BPH nodules. MRI may provide a noninvasive method to determine underlying BPH nodule histology.

Duke Scholars

Published In

J Endourol

DOI

EISSN

1557-900X

Publication Date

March 2022

Volume

36

Issue

3

Start / End Page

381 / 386

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Retrospective Studies
  • Prostatic Neoplasms
  • Prostatic Hyperplasia
  • Prostate
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Dai, J. C., Morgan, T. N., Goueli, R., Parrott, D., Kenigsberg, A., Mauck, R. J., … Gahan, J. C. (2022). MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model. J Endourol, 36(3), 381–386. https://doi.org/10.1089/end.2021.0397
Dai, Jessica C., Tara N. Morgan, Ramy Goueli, Daniel Parrott, Alexander Kenigsberg, Ryan J. Mauck, Claus G. Roehrborn, Douglas W. Strand, Daniel N. Costa, and Jeffrey C. Gahan. “MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model.J Endourol 36, no. 3 (March 2022): 381–86. https://doi.org/10.1089/end.2021.0397.
Dai JC, Morgan TN, Goueli R, Parrott D, Kenigsberg A, Mauck RJ, et al. MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model. J Endourol. 2022 Mar;36(3):381–6.
Dai, Jessica C., et al. “MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model.J Endourol, vol. 36, no. 3, Mar. 2022, pp. 381–86. Pubmed, doi:10.1089/end.2021.0397.
Dai JC, Morgan TN, Goueli R, Parrott D, Kenigsberg A, Mauck RJ, Roehrborn CG, Strand DW, Costa DN, Gahan JC. MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model. J Endourol. 2022 Mar;36(3):381–386.
Journal cover image

Published In

J Endourol

DOI

EISSN

1557-900X

Publication Date

March 2022

Volume

36

Issue

3

Start / End Page

381 / 386

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Retrospective Studies
  • Prostatic Neoplasms
  • Prostatic Hyperplasia
  • Prostate
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • 3202 Clinical sciences
  • 1103 Clinical Sciences