Back to Search Start Over

Histopathological Features of MRI-Invisible Regions of Prostate Cancer Lesions.

Authors :
van Houdt PJ
Ghobadi G
Schoots IG
Heijmink SWTPJ
de Jong J
van der Poel HG
Pos FJ
Rylander S
Bentzen L
Haustermans K
van der Heide UA
Source :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2020 Apr; Vol. 51 (4), pp. 1235-1246. Date of Electronic Publication: 2019 Oct 06.
Publication Year :
2020

Abstract

Background: Previous studies have reported tumor volume underestimation with multiparametric (mp)MRI in prostate cancer diagnosis.<br />Purpose: To investigate why some parts of lesions are not visible on mpMRI by comparing their histopathology features to those of visible regions.<br />Study Type: Retrospective.<br />Population: Thirty-four patients with biopsy-proven prostate cancer scheduled for prostatectomy (median 68.7 years).<br />Field Strength/sequence: T <subscript>2</subscript> -weighted, diffusion-weighted imaging, T <subscript>2</subscript> mapping, and dynamic contrast-enhanced MRI on two 3T systems and one 1.5T system.<br />Assessment: Two readers delineated suspicious lesions on mpMRI. A pathologist delineated the lesions on histopathology. A patient-customized mold enabled the registration of histopathology and MRI. On histopathology we identified mpMRI visible and invisible lesions. Subsequently, within the visible lesions we identified regions that were visible and regions that were invisible on mpMRI. For each lesion and region the following characteristics were determined: size, location, International Society of Urological Pathology (ISUP) grade, and Gleason subpatterns (density [dense/intermediate], tumor morphology [homogeneous/heterogeneous], cribriform growth [yes/no]).<br />Statistical Tests: With generalized linear mixed-effect modeling we investigated which features explain why a lesion or a region was invisible on MRI. We compared imaging values (T <subscript>2</subscript> , ADC, and K <superscript>trans</superscript> ) for these features with one-way analysis of variance (ANOVA).<br />Results: Small, anterior, and ISUP grade 1-2 lesions (n = 34) were missed more frequent than large, posterior, ISUP grade ≥ 3 lesions (n = 35). Invisible regions on mpMRI had lower tumor density, heterogeneous tumor morphology, and were located in the transition zone. Both T <subscript>2</subscript> and ADC values were higher in "intermediate" compared with "dense" regions (P = 0.002 and < 0.001) and in regions with heterogeneous compared with homogeneous morphology (P < 0.001 and 0.03). K <superscript>trans</superscript> was not significantly different (P = 0.24 and 0.99).<br />Data Conclusion: Regions of prostate cancer lesions that are invisible on mpMRI have different histopathology features than visible regions. This may have implications for monitoring during active surveillance and focal treatment strategies.<br />Level of Evidence: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;51:1235-1246.<br /> (© 2019 International Society for Magnetic Resonance in Medicine.)

Details

Language :
English
ISSN :
1522-2586
Volume :
51
Issue :
4
Database :
MEDLINE
Journal :
Journal of magnetic resonance imaging : JMRI
Publication Type :
Academic Journal
Accession number :
31588646
Full Text :
https://doi.org/10.1002/jmri.26933