Evidence map›Paper›PMID 24392245›Full record

ArticleJournal of pathology informatics2013

3D prostate histology image reconstruction: Quantifying the impact of tissue deformation and histology section location.

Eli Gibson, Mena Gaed, José A Gómez, Madeleine Moussa, Stephen Pautler, Joseph L Chin, Cathie Crukley, Glenn S Bauman, Aaron Fenster, Aaron D Ward

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  7. Three-dimensional histology reveals dissociable human hippocampal long-axis gradients of Alzheimer's pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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  18. Three-dimensional analysis reveals two major architectural subgroups of prostate cancer growth patterns.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Eli GibsonRobarts Research Institute, London, Canada ; Graduate Program in Biomedical Engineering, London, Canada.
Mena GaedRobarts Research Institute, London, Canada ; Lawson Health Research Institute, London, Canada ; Department of Pathology, The University of Western Ontario, London, Canada.
José A GómezDepartment of Pathology, The University of Western Ontario, London, Canada.
Madeleine MoussaDepartment of Pathology, The University of Western Ontario, London, Canada.
Stephen PautlerLawson Health Research Institute, London, Canada ; Department of Urology, The University of Western Ontario, London, Canada.
Joseph L ChinDepartment of Urology, The University of Western Ontario, London, Canada.
Cathie CrukleyRobarts Research Institute, London, Canada ; Lawson Health Research Institute, London, Canada.
Glenn S BaumanDepartment of Oncology, The University of Western Ontario, London, Canada.
Aaron FensterRobarts Research Institute, London, Canada ; Graduate Program in Biomedical Engineering, London, Canada ; Lawson Health Research Institute, London, Canada ; Department of Oncology, The University of Western Ontario, London, Canada ; Department of Medical Biophysics, The University of Western Ontario, London, Canada.
Aaron D WardGraduate Program in Biomedical Engineering, London, Canada ; Lawson Health Research Institute, London, Canada ; Department of Oncology, The University of Western Ontario, London, Canada ; Department of Medical Biophysics, The University of Western Ontario, London, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidelines for localizing prostate cancer on imaging are ideally informed by registered post-prostatectomy histology. 3D histology reconstruction methods can support this by reintroducing 3D spatial information lost during histology processing. The need to register small, high-grade foci drives a need for high accuracy. Accurate 3D reconstruction method design is impacted by the answers to the following central questions of this work. (1) How does prostate tissue deform during histology processing? (2) What spatial misalignment of the tissue sections is induced by microtome cutting? (3) How does the choice of reconstruction model affect histology reconstruction accuracy? MATERIALS AND

methodsHistology, paraffin block face and magnetic resonance images were acquired for 18 whole mid-gland tissue slices from six prostates. 7-15 homologous landmarks were identified on each image. Tissue deformation due to histology processing was characterized using the target registration error (TRE) after landmark-based registration under four deformation models (rigid, similarity, affine and thin-plate-spline [TPS]). The misalignment of histology sections from the front faces of tissue slices was quantified using manually identified landmarks. The impact of reconstruction models on the TRE after landmark-based reconstruction was measured under eight reconstruction models comprising one of four deformation models with and without constraining histology images to the tissue slice front faces.

resultsIsotropic scaling improved the mean TRE by 0.8-1.0 mm (all results reported as 95% confidence intervals), while skew or TPS deformation improved the mean TRE by <0.1 mm. The mean misalignment was 1.1-1.9(°) (angle) and 0.9-1.3 mm (depth). Using isotropic scaling, the front face constraint raised the mean TRE by 0.6-0.8 mm.

conclusionsFor sub-millimeter accuracy, 3D reconstruction models should not constrain histology images to the tissue slice front faces and should be flexible enough to model isotropic scaling.

Indexed as

3D histology reconstructionCorrelative histopathologyimage registrationprostate cancer imagingvalidation

Identifiers

PMID24392245
PMCPMC3869958

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.