Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12732
Title: Comparison of [(11)C]choline Positron Emission Tomography With T2- and Diffusion-Weighted Magnetic Resonance Imaging for Delineating Malignant Intraprostatic Lesions.
Austin Authors: Chang, Joe H;Lim Joon, Daryl ;Davis, Ian D;Lee, Sze Ting ;Hiew, Chee-Yan;Esler, Stephen;Gong, Sylvia J;Wada, Morikatsu ;Clouston, David;O'Sullivan, Richard;Goh, Yin P;Bolton, Damien M ;Scott, Andrew M ;Khoo, Vincent
Affiliation: Diagnostic Imaging, Monash Health, Victoria, Australia
University of Melbourne, Victoria, Australia
Healthcare Imaging, Epworth Hospital, Victoria, Australia
Tissupath, Mt Waverley, Victoria, Australia
Radiology
Urology
Centre for PET, Austin Health, Victoria, Australia
Royal Marsden Hospital, National Health Service Foundation Trust, London, United Kingdom; Department of Medical Imaging and Radiation Sciences, Monash University, Victoria, Australia
Ludwig Institute for Cancer Research, Victoria, Australia
Radiation Oncology
Monash University Eastern Health Clinical School, Victoria, Australia
Issue Date: 8-Apr-2015
Publication information: International Journal of Radiation Oncology, Biology, Physics 2015; 92(2): 438-45
Abstract: The purpose of this study was to compare the accuracy of [(11)C]choline positron emission tomography (CHOL-PET) with that of the combination of T2-weighted and diffusion-weighted (T2W/DW) magnetic resonance imaging (MRI) for delineating malignant intraprostatic lesions (IPLs) for guiding focal therapies and to investigate factors predicting the accuracy of CHOL-PET.This study included 21 patients who underwent CHOL-PET and T2W/DW MRI prior to radical prostatectomy. Two observers manually delineated IPL contours for each scan, and automatic IPL contours were generated on CHOL-PET based on varying proportions of the maximum standardized uptake value (SUV). IPLs identified on prostatectomy specimens defined reference standard contours. The imaging-based contours were compared with the reference standard contours using Dice similarity coefficient (DSC), and sensitivity and specificity values. Factors that could potentially predict the DSC of the best contouring method were analyzed using linear models.The best automatic contouring method, 60% of the maximum SUV (SUV60) , had similar correlations (DSC: 0.59) with the manual PET contours (DSC: 0.52, P=.127) and significantly better correlations than the manual MRI contours (DSC: 0.37, P<.001). The sensitivity and specificity values were 72% and 71% for SUV60; 53% and 86% for PET manual contouring; and 28% and 92% for MRI manual contouring. The tumor volume and transition zone pattern could independently predict the accuracy of CHOL-PET.CHOL-PET is superior to the combination of T2W/DW MRI for delineating IPLs. The accuracy of CHOL-PET is insufficient for gland-sparing focal therapies but may be accurate enough for focal boost therapies. The transition zone pattern is a new classification that may predict how well CHOL-PET delineates IPLs.
URI: https://ahro.austin.org.au/austinjspui/handle/1/12732
DOI: 10.1016/j.ijrobp.2015.02.004
ORCID: 
Journal: International Journal of Radiation Oncology, Biology, Physics
URL: https://pubmed.ncbi.nlm.nih.gov/25864171
Type: Journal Article
Appears in Collections:Journal articles

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