Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies

Sheng Xu; Baris Turkbey; Jochen Kruecker; Pingkun Yan; Julia Locklin; Peter Pinto; Peter Choyke; Bradford Wood

doi:10.1117/12.844051

23 February 2010 Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies

Sheng Xu, Baris Turkbey, Jochen Kruecker, Pingkun Yan, Julia Locklin, Peter Pinto, Peter Choyke, Bradford Wood

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76252R (2010) https://doi.org/10.1117/12.844051
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

MRI is currently the most promising imaging modality for prostate cancer diagnosis due to its high resolution and multiparametric nature. However, currently there is no standard for integration of diagnostic information from different MRI sequences. We propose a method to increase the diagnostic accuracy of MRI by correlating biopsy specimens with four MRI sequences including T2 weighted MRI, Diffusion Weight Imaging, Dynamic Contrast Enhanced MRI and MRI spectroscopy. This method uses device tracking and image fusion to determine the specimen's position on MRI images. The proposed method is unbiased and cost effective. It does not substantially interfere with the standard biopsy workflow, allowing it to be easily accepted by physicians. A study of 41 patients was carried out to validate the approach. The performance of all four MRI sequences in various combinations is reported. Guidelines are given for multi-parametric imaging and tracked biopsy of prostate cancer.

Citation Download Citation

Sheng Xu, Baris Turkbey, Jochen Kruecker, Pingkun Yan, Julia Locklin, Peter Pinto, Peter Choyke, and Bradford Wood "Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76252R (23 February 2010); https://doi.org/10.1117/12.844051

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