Histopathological Features of MRI-Invisible Regions of Prostate Cancer Lesions

被引:39
作者
van Houdt, Petra J. [1 ]
Ghobadi, Ghazaleh [1 ]
Schoots, Ivo G. [2 ,3 ]
Heijmink, Stijn W. T. P. J. [2 ]
de Jong, Jeroen [4 ]
van der Poel, Henk G. [5 ]
Pos, Floris J. [1 ]
Rylander, Susanne [6 ]
Bentzen, Lise [7 ]
Haustermans, Karin [8 ]
van der Heide, Uulke A. [1 ]
机构
[1] Netherlands Canc Inst, Dept Radiat Oncol, Plesmanlaan 121, NL-1066 CX Amsterdam, Netherlands
[2] Netherlands Canc Inst, Dept Radiol, Amsterdam, Netherlands
[3] Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands
[4] Netherlands Canc Inst, Dept Pathol, Amsterdam, Netherlands
[5] Netherlands Canc Inst, Dept Urol, Amsterdam, Netherlands
[6] Aarhus Univ Hosp, Dept Med Phys, Aarhus, Denmark
[7] Aarhus Univ Hosp, Dept Oncol, Aarhus, Denmark
[8] Univ Hosp Leuven, Dept Radiat Oncol, Leuven, Belgium
关键词
prostate cancer; multiparametric MRI; tumor delineation; volume assessment; Gleason subpatterns; APPARENT DIFFUSION-COEFFICIENT; RESONANCE-IMAGING CORRELATION; MULTIPARAMETRIC MRI; VERSION; PERFORMANCE; CRIBRIFORM; TISSUE; GRADE; T2;
D O I
10.1002/jmri.26933
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background Previous studies have reported tumor volume underestimation with multiparametric (mp)MRI in prostate cancer diagnosis. Purpose To investigate why some parts of lesions are not visible on mpMRI by comparing their histopathology features to those of visible regions. Study Type Retrospective. Population Thirty-four patients with biopsy-proven prostate cancer scheduled for prostatectomy (median 68.7 years). Field Strength/Sequence T-2-weighted, diffusion-weighted imaging, T-2 mapping, and dynamic contrast-enhanced MRI on two 3T systems and one 1.5T system. 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]). 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-2, ADC, and K-trans) for these features with one-way analysis of variance (ANOVA). 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-2 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-trans was not significantly different (P = 0.24 and 0.99). 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. Technical Efficacy: Stage 3
引用
收藏
页码:1235 / 1246
页数:12
相关论文
共 41 条
  • [1] Do low-grade and low-volume prostate cancers bear the hallmarks of malignancy?
    Ahmed, Hashim Uddin
    Arya, Manit
    Freeman, Alex
    Emberton, Mark
    [J]. LANCET ONCOLOGY, 2012, 13 (11) : E509 - E517
  • [2] Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package
    Bates, Douglas
    Eddelbuettel, Dirk
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2013, 52 (05): : 1 - 24
  • [3] What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate
    Borofsky, Samuel
    George, Arvin K.
    Gaur, Sonia
    Bernardo, Marcelino
    Greer, Matthew D.
    Mertan, Francesca V.
    Taffel, Myles
    Moreno, Vanesa
    Merino, Maria J.
    Wood, Bradford J.
    Pinto, Peter A.
    Choyke, Peter L.
    Turkbey, Baris
    [J]. RADIOLOGY, 2018, 286 (01) : 186 - 195
  • [4] Bos C, 2009, P 17 ANN M ISMRM HON, P4526
  • [5] Apparatus for histological Validation of In Vivo and Ex Vivo Magnetic Resonance Imaging of the human Prostate
    Bourne, Roger M.
    Bailey, Colleen
    Johnston, Edward William
    Pye, Hayley
    Heavey, Susan
    Whitaker, Hayley
    Siow, Bernard
    Freeman, Alex
    Shaw, Greg L.
    Sridhar, Ashwin
    Mertzanidou, Thomy
    Hawkes, David J.
    Alexander, Daniel C.
    Punwani, Shonit
    Panagiotaki, Eleftheria
    [J]. FRONTIERS IN ONCOLOGY, 2017, 7
  • [6] How Accurate Is Multiparametric MR Imaging in Evaluation of Prostate Cancer Volume?
    Bratan, Flavie
    Melodelima, Christelle
    Souchon, Remi
    Au Hoang Dinh
    Mege-Lechevallier, Florence
    Crouzet, Sebastien
    Colombel, Marc
    Gelet, Albert
    Rouviere, Olivier
    [J]. RADIOLOGY, 2015, 275 (01) : 144 - 154
  • [7] Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge
    Cuong Viet Dinh
    Steenbergen, Peter
    Ghobadi, Ghazaleh
    van der Poel, Henk
    Heijmink, Stijn W. T. P. J.
    de Jong, Jeroen
    Isebaert, Sofi E.
    Haustermans, Karin
    Lerut, Evelyne
    Oyen, Raymond
    Ou, Yangming
    Christos, Davatzikos
    van der Heide, Uulke A.
    [J]. MEDICAL PHYSICS, 2017, 44 (03) : 949 - 961
  • [8] What kind of prostate cancers do we miss on multiparametric magnetic resonance imaging?
    De Visschere, Pieter Julien Luc
    Naesens, Leslie
    Libbrecht, Louis
    Van Praet, Charles
    Lumen, Nicolaas
    Fonteyne, Valerie
    Pattyn, Eva
    Villeirs, Geert
    [J]. EUROPEAN RADIOLOGY, 2016, 26 (04) : 1098 - 1107
  • [9] Determination of the Association Between T2-weighted MRI and Gleason Sub-pattern: A Proof of Principle Study
    Downes, Michelle R.
    Gibson, Eli
    Sykes, Jenna
    Haider, Masoom
    van der Kwast, Theo H.
    Ward, Aaron
    [J]. ACADEMIC RADIOLOGY, 2016, 23 (11) : 1412 - 1421
  • [10] The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma Definition of Grading Patterns and Proposal for a New Grading System
    Epstein, Jonathan I.
    Egevad, Lars
    Amin, Mahul B.
    Delahunt, Brett
    Srigley, John R.
    Humphrey, Peter A.
    [J]. AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 2016, 40 (02) : 244 - 252