Paper Info
Title
Accuracy and variability of tumor burden measurement on multi-parametric MRI
Abstract
Measurement of prostate tumour volume can inform prognosis and treatment selection, including an assessment of the suitability and feasibility of focal therapy, which can potentially spare patients the deleterious side effects of radical treatment. Prostate biopsy is the clinical standard for diagnosis but provides limited information regarding tumour volume due to sparse tissue sampling. A non-invasive means for accurate determination of tumour burden could be of clinical value and an important step toward reduction of overtreatment. Multi-parametric magnetic resonance imaging (MPMRI) is showing promise for prostate cancer diagnosis. However, the accuracy and inter-observer variability of prostate tumour volume estimation based on separate expert contouring of T2-weighted (T2W), dynamic contrast-enhanced (DCE), and diffusion-weighted (DW) MRI sequences acquired using an endorectal coil at 3T is currently unknown. We investigated this question using a histologic reference standard based on a highly accurate MPMRI-histology image registration and a smooth interpolation of planimetric tumour measurements on histology. Our results showed that prostate tumour volumes estimated based on MPMRI consistently overestimated histological reference tumour volumes. The variability of tumour volume estimates across the different pulse sequences exceeded inter-observer variability within any sequence. Tumour volume estimates on DCE MRI provided the lowest inter-observer variability and the highest correlation with histology tumour volumes, whereas the apparent diffusion coefficient (ADC) maps provided the lowest volume estimation error. If validated on a larger data set, the observed correlations could support the development of automated prostate tumour volume segmentation algorithms as well as correction schemes for tumour burden estimation on MPMRI.
Year
DOI
Venue
2014
10.1117/12.2043716
Proceedings of SPIE
Keywords
Field
DocType
prostate cancer,multi-parametric magnetic resonance,T2-weighted MRI,dynamic contrast enhanced MRI,diffusion-weighted MRI,radical prostatectomy,focal therapy,tumour volume,interpolation,level set method
Effective diffusion coefficient,Diffusion MRI,Artificial intelligence,Prostate cancer,Contouring,Computer vision,Prostate biopsy,Prostate,Medical physics,Radiology,Image registration,Physics,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
9041
0277-786X
0
PageRank 
References 
Authors
0.34
1
13
Name
Order
Citations
PageRank
mehrnoush salarian110.96
Eli Gibson218823.91
maysam shahedi321.65
Mena Gaed4258.08
Jose A Gomez5437.53
Madeleine Moussa6278.83
Cesare Romagnoli7679.65
Derek W. Cool8127.56
matthew bastianjordan922.07
Joseph L. Chin1013.08
Stephen E. Pautler11248.13
Glenn Bauman1244.07
Aaron D Ward138922.61