Orientation of imaging and histology of radical prostatectomy specimen in prostate cancer using 3D modelling and fabricated molds

Wei, Cheng, Lang, Stephen, Bidaut, Luc, Doull, Robert, Huang, Zhihong and Nabi, Ghulam (2014) Orientation of imaging and histology of radical prostatectomy specimen in prostate cancer using 3D modelling and fabricated molds. In: NCRI Cancer Conference, 2 - 4 November 2014, Liverpool, UK.

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Item Type:Conference or Workshop contribution (Poster)
Item Status:Live Archive

Abstract

Background

To develop patient-specific 3T MRI data based rapid prototyping molds for sectioning prostatectomy specimens that would facilitate comparison between histopathology, in vivo MRI and Shear Wave Elastography (SWE).

Method

Post-radical prostatectomy specimens were fixed in formalin and sectioned in similar orientation to T2-weighted MR scanning. This was facilitated by the use of mold prepared in biomedical software Mimics (Materialise, Belgium) and CAD software Solidworkds (Dassault Systèmes SolidWorks Corp., USA) through 3-D segmentation, reconstruction and rapid prototyping. The specimens were sliced with a single blade and the resultant MRI images defined tissue blocks were used for histopathology analysis. The multi-parametric MRI data, SWE and histological sectioning were compared to assess prostate cancer characteristics.

Results

The prostatectomy specimen slices were very uniform in thickness with good quality histological sectioning. A number of cancer foci were picked up with some of them significant disease (Gleason grade 7 and more). Multiparametric MRI (mp-MRI), quantitative SWE data as measured in kilopascals and histopathology comparison showed good correspondence between the three images.

Conclusion

The method described here allows a reliable orientation and comparison between imaging (mp-MRI, SWE) and histology of prostatectomy specimens and paves the way for the translation of imaging biomarkers, especially detection of significant cancers.

Keywords:radial prostatectomy, prostate cancer, 3D Modelling
Subjects:F Physical Sciences > F350 Medical Physics
Divisions:College of Science > School of Computer Science
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ID Code:30706
Deposited On:14 Mar 2018 12:57

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