A multiphase validation of atlas-based automatic and semiautomatic segmentation strategies for prostate MRI

International Journal of Radiation Oncology, Biology, Physics
Spencer MartinStewart Gaede

Abstract

To perform a rigorous technological assessment and statistical validation of a software technology for anatomic delineations of the prostate on MRI datasets. A 3-phase validation strategy was used. Phase I consisted of anatomic atlas building using 100 prostate cancer MRI data sets to provide training data sets for the segmentation algorithms. In phase II, 2 experts contoured 15 new MRI prostate cancer cases using 3 approaches (manual, N points, and region of interest). In phase III, 5 new physicians with variable MRI prostate contouring experience segmented the same 15 phase II datasets using 3 approaches: manual, N points with no editing, and full autosegmentation with user editing allowed. Statistical analyses for time and accuracy (using Dice similarity coefficient) endpoints used traditional descriptive statistics, analysis of variance, analysis of covariance, and pooled Student t test. In phase I, average (SD) total and per slice contouring time for the 2 physicians was 228 (75), 17 (3.5), 209 (65), and 15 seconds (3.9), respectively. In phase II, statistically significant differences in physician contouring time were observed based on physician, type of contouring, and case sequence. The N points strategy resulted in sup...Continue Reading

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Citations

Dec 20, 2014·BioMed Research International·Shijun WangRonald M Summers
Nov 8, 2015·Journal of Digital Imaging·Farzad KhalvatiH R Tizhoosh
Jun 15, 2017·Japanese Journal of Radiology·Ilamurugu ArivarasanVelayudham Ramasubramanian
Feb 26, 2016·Physics in Medicine and Biology·Ingerid Skjei KnudtsenEirik Malinen
Apr 24, 2020·Medical Oncology·Giulio FrancoliniLorenzo Livi

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