A Workflow to Improve the Alignment of Prostate Imaging with Whole-mount Histopathology

Yamamoto, Hidekazu; Nir, Dror; Vyas, Lona; Chang, Richard T. M.; Popert, Rick; Cahill, Declan; Challacombe, Benjamin; Chandra, Ashish

doi:10.1016/j.acra.2014.04.015

Cited by 9 publications

(10 citation statements)

References 36 publications

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“…To construct a suitable histopathological model, one hugely relies on assumptions concerning slice location, orientation and deformations during the pathological work flow [ 21 ]. However, it has been reported that almost nine tenth of European pathologists section the prostate without using a special cutting device [ 22 ], which might lead to histopathologic slices not being parallel or of equal thickness [ 23 ]. In recent years, many groups developed slicing devices to standardize the sectioning process and minimize inaccuracies [ 24 ].…”

Section: General Workflowmentioning

confidence: 99%

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

et al. 2018

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As the development of modalities for prostate cancer (PCa) imaging advances, the challenge of accurate registration between images and histopathologic ground truth becomes more pressing. Localization of PCa, rather than detection, requires a pixel-to-pixel validation of imaging based on histopathology after radical prostatectomy. Such a registration procedure is challenging for ultrasound modalities; not only the deformations of the prostate after resection have to be taken into account, but also the deformation due to the employed transrectal probe and the mismatch in orientation between imaging planes and pathology slices. In this work, we review the latest techniques to facilitate accurate validation of PCa localization in ultrasound imaging studies and extrapolate a general strategy for implementation of a registration procedure.

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Section: General Workflowmentioning

confidence: 99%

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

et al. 2018

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“…3–5 Even when image analysis software is used, 6,7 the histological location relative to MRI can be confounded by variability in specimen sectioning. 5,8 Thus, whole mount pathology slides may depict a different depth, angle and prostate shape from in vivo images.…”

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confidence: 99%

“…In an attempt to improve registration accuracy guides or templates have been used to acquire uniform slices 8–10 but this approach does not assure correct orientation of the specimen. Ex vivo MRI of specimens has also been done but only in a small number of cases.…”

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confidence: 99%

Magnetic Resonance Imaging Underestimation of Prostate Cancer Geometry: Use of Patient Specific Molds to Correlate Images with Whole Mount Pathology

et al. 2017

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Purpose We evaluated the accuracy of magnetic resonance imaging in determining the size and shape of localized prostate cancer. Materials and Methods The subjects were 114 men who underwent multi-parametric magnetic resonance imaging before radical prostatectomy with patient specific mold processing of the specimen from 2013 to 2015. T2-weighted images were used to contour the prostate capsule and cancer suspicious regions of interest. The contours were used to design and 3-dimentional print custom molds, which permitted alignment of excised prostates with magnetic resonance imaging scans. Tumors were reconstructed in 3 dimensions from digitized whole mount sections. Tumors were then matched with regions of interest and the relative geometries were compared. Results Of the 222 tumors evident on whole mount sections 118 had been identified on magnetic resonance imaging. For the 118 regions of interest mean volume was 0.8 cc and the longest 3-dimensional diameter was 17 mm. However, for matched pathological tumors, of which most were Gleason score 3 + 4 or greater, mean volume was 2.5 cc and the longest 3-dimensional diameter was 28 mm. The median tumor had a 13.5 mm maximal extent beyond the magnetic resonance imaging contour and 80% of cancer volume from matched tumors was outside region of interest boundaries. Size estimation was most accurate in the axial plane and least accurate along the base-apex axis. Conclusions Magnetic resonance imaging consistently underestimates the size and extent of prostate tumors. Prostate cancer foci had an average diameter 11 mm longer and a volume 3 times greater than T2-weighted magnetic resonance imaging segmentations. These results may have important implications for the assessment and treatment of prostate cancer.

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“…To fit on standard size slides, tissue sections must be further subdivided, which can lead to additional tissue deformations and defects. Whole mount sectioning can be used to solve these problems ( [19,3]…”

Section: Discussionmentioning

confidence: 99%

A Novel Method for the Correlation of Histological Slides and MRI Imaging of the Prostate using 3D Vertex Models

Bisson¹,

Piwonski

Lohmann

et al. 2020

Preprint

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Background: The evaluation and improvement of MRI-based grading schemes such as PI-RADS requires the correlation of histological findings with MRI images. Several approaches have been described to join the two modalities. However, these approaches have in common that they all require modification of the pathology workflow. Here, we describe a novel method to utilize vertex models for the correlation of histological findings with MRI images without affecting the histological sectioning protocol. Methods: Three patients with prostate cancer who underwent radical prostatectomy as well as presurgical MRI were selected. Prostates are segmented on the MRI images to extract a 3D vertex model using 3D Slicer. Histological sectioning is then applied on the vertex model to yield reference planes for the tissue slides. Afterwards, slides and annotated tumor regions are aligned with the reference planes using the Coherent Point Drift algorithm. Carcinomas can then be visualized in 3D using the three different techniques of block representation, convex hull and Metaballs. Results: 3D Slicer allows importing vertex models for segmentation purposes and thus the reconstructed tumors can be utilized as annotations in the original MRI images. Registration results are evaluated using the Jaccard index, which is computed by dividing the intersection area between tissue slide and reference plane by their union area. To evaluate the 3D reconstructions, the tumor-to-tissue ratio of the histological slides is computed. Block representation results in 76% of the original ratio while the convex hull causes a strong increase of 456%. The Metaball algorithm comprises a threshold parameter which affects the size of the 3D volume. Tumor-to-tissue ratios can be matched perfectly by selecting appropriate threshold values. Conclusions: Our introduced method allows the correlation of histological findings with MRI images without the need to adapt the pathologists' workflow. In fact, the accuracy of 3D reconstruction techniques needs to be further optimized, but in return the method can be applied to the entire set of archive cases.

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A Workflow to Improve the Alignment of Prostate Imaging with Whole-mount Histopathology

Cited by 9 publications

References 36 publications

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

Magnetic Resonance Imaging Underestimation of Prostate Cancer Geometry: Use of Patient Specific Molds to Correlate Images with Whole Mount Pathology

A Novel Method for the Correlation of Histological Slides and MRI Imaging of the Prostate using 3D Vertex Models

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