Bates, A;
Miles, K;
(2017)
Prostate-specific membrane antigen PET/MRI validation of MR textural analysis for detection of transition zone prostate cancer.
European Radiology
, 27
(12)
pp. 5290-5298.
10.1007/s00330-017-4877-x.
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Abstract
OBJECTIVES: To validate MR textural analysis (MRTA) for detection of transition zone (TZ) prostate cancer through comparison with co-registered prostate-specific membrane antigen (PSMA) PET-MR. METHODS: Retrospective analysis was performed for 30 men who underwent simultaneous PSMA PET-MR imaging for staging of prostate cancer. Thirty texture features were derived from each manually contoured T2-weighted, transaxial, prostatic TZ using texture analysis software that applies a spatial band-pass filter and quantifies texture through histogram analysis. Texture features of the TZ were compared to PSMA expression on the corresponding PET images. The Benjamini-Hochberg correction controlled the false discovery rate at <5%. RESULTS: Eighty-eight T2-weighted images in 18 patients demonstrated abnormal PSMA expression within the TZ on PET-MR. 123 images were PSMA negative. Based on the corrected p-value of 0.005, significant differences between PSMA positive and negative slices were found for 16 texture parameters: Standard deviation and mean of positive pixels for all spatial filters (p = <0.0001 for both at all spatial scaling factor (SSF) values) and mean intensity following filtration for SSF 3–6 mm (p = 0.0002–0.0018). CONCLUSION: Abnormal expression of PSMA within the TZ is associated with altered texture on T2-weighted MR, providing validation of MRTA for the detection of TZ prostate cancer.
Type: | Article |
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Title: | Prostate-specific membrane antigen PET/MRI validation of MR textural analysis for detection of transition zone prostate cancer |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/s00330-017-4877-x |
Publisher version: | https://doi.org/10.1007/s00330-017-4877-x |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Magnetic resonance imaging, Texture analysis, Prostate, Cancer, Diagnosis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine |
URI: | https://discovery.ucl.ac.uk/id/eprint/10055286 |
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