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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