Machine Learning in Prediction of Prostate Brachytherapy Rectal Dose Classes at Day 30
|Title:||Machine Learning in Prediction of Prostate Brachytherapy Rectal Dose Classes at Day 30||Authors:||Leydon, Patrick
Curran, Kathleen M.
|Permanent link:||http://hdl.handle.net/10197/10237||Date:||28-Aug-2015||Online since:||2019-05-01T09:17:53Z||Abstract:||A retrospective analysis of brachytherapy implant data was carried out on 351 patients that underwent permanent I125 brachytherapy for treatment of low-risk prostate cancer. For each patient, the dose received by 2cm3 of the rectum (D2cc) 30 days post implant was defined as belonging one of two classes, ”Low” and ”High” depending on whether or not it was above or below a particular dose threshold. The aim of the study was to investigate the application of a number of machine learning classification techniques to intra-operative implant dosimetry data for prediction of rectal dose classes determined 30 days post implant. Algorithm performance was assessed in terms of its true and false positive rates and Receiver Operator Curve area based on a 10-fold cross validation procedure using Weka software. This was repeated for a variety of dose class thresholds to determine the point at which the highest accuracy was achieved. The highest ROC areas were observed at a threshold of D2cc = 90 Gy, with the highest area achieved by Bayes Net (0.943). At more clinically useful thresholds of D2cc = 145 Gy, classification was less reliable, with the highest ROC area achieved by Bayes Net (0.613).||Funding Details:||Irish Research Council||Type of material:||Conference Publication||Publisher:||Irish Pattern Recognition & Classification Society||Copyright (published version):||2015 the Authors||Keywords:||Brachytherapy; Prostate cancer; Machine learning; Classification; Weka||Other versions:||https://iprcs.scss.tcd.ie/IMVIP.html#2015
|Language:||en||Status of Item:||Peer reviewed||Is part of:||Dahyot, R., Lacey, G., Dawson-Howe, K., Pitié, F., Moloney, D. (eds.). Irish Machine Vision and Image Processing Conference Proceedings 2015||Conference Details:||The Irish Machine Vision and Image Processing Conference (IMVIP 2015), Dublin, Ireland, 26-28 August 2015||ISBN:||978-0-9934207-0-2|
|Appears in Collections:||Computer Science Research Collection|
Medicine Research Collection
Insight Research Collection
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.