dc.contributor.author
Reiter, Rolf
dc.contributor.author
Majumdar, Shreyan
dc.contributor.author
Kearney, Steven
dc.contributor.author
Kajdacsy‐Balla, Andre
dc.contributor.author
Macias, Virgilia
dc.contributor.author
Crivellaro, Simone
dc.contributor.author
Caldwell, Brandon
dc.contributor.author
Abern, Michael
dc.contributor.author
Royston, Thomas J.
dc.contributor.author
Klatt, Dieter
dc.date.accessioned
2022-03-03T08:14:03Z
dc.date.available
2022-03-03T08:14:03Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/34294
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-34011
dc.description.abstract
Purpose: Despite its success in the assessment of prostate cancer (PCa), in vivo multiparametric MRI has limitations such as interobserver variability and low specificity. Several MRI methods, among them MR elastography, are currently being discussed as candidates for supplementing conventional multiparametric MRI. This study aims to investigate the detection of PCa in fresh ex vivo human prostatectomy specimens using MR elastography.
Methods: Fourteen fresh prostate specimens from men with clinically significant PCa without formalin fixation or prior radiation therapy were examined by MR elastography at 500 Hz immediately after radical prostatectomy in a 9.4T preclinical scanner. Specimens were divided into 12 segments for both calculation of storage modulus (G ' in kilopascals) and pathology (Gleason score) as reference standard. Sensitivity, specificity, and area under the receiver operating characteristic curve were calculated to assess PCa detection.
Results: The mean G ' and SD were as follows: all segments, 8.74 ± 5.26 kPa; healthy segments, 5.44 ± 4.40 kPa; and cancerous segments, 10.84 ± 4.65 kPa. The difference between healthy and cancerous segments was significant with P ≤ .001. Diagnostic performance assessed with the Youden index was as follows: sensitivity, 69%; specificity, 79%; area under the curve, 0.81; and cutoff, 10.67 kPa.
Conclusion: Our results suggest that prostate MR elastography has the potential to improve diagnostic performance of multiparametric MRI, especially regarding its 2 major limitations: interobserver variability and low specificity. Particularly the high value for specificity in PCa detection is a stimulating result and encourages further investigation of this method.
en
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
MR elastography
en
dc.subject
prostate cancer
en
dc.subject
prostatectomy specimens
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Prostate cancer assessment using MR elastography of fresh prostatectomy specimens at 9.4 T
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1002/mrm.28127
dcterms.bibliographicCitation.journaltitle
Magnetic Resonance in Medicine
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.originalpublishername
Wiley
dcterms.bibliographicCitation.pagestart
396
dcterms.bibliographicCitation.pageend
404
dcterms.bibliographicCitation.volume
84
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
DEAL Wiley
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
31821615
dcterms.isPartOf.issn
0740-3194
dcterms.isPartOf.eissn
1522-2594