Literature DB >> 20180036

Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images.

Li Hong Chen1, Henry Ho, Richie Lazaro, Choon Hua Thng, John Yuen, Wan Sing Ng, Chris Cheng.   

Abstract

PURPOSE: There is a need for methods which enable precise correlation of histologic sections with in vivo prostate images. Such methods would allow direct comparison between imaging features and functional or histopathological heterogeneity of tumors. Correlation would be particularly useful for validating the accuracy of imaging modalities, developing imaging techniques, assessing image-guided therapy, etc. An optimum prostate slicing method for accurate correlation between the histopathological and medical imaging planes in terms of section angle, thickness and level was sought.
METHODS: Literature review (51 references from 1986-2009 were cited) was done on the various sectioning apparatus or techniques used to slice the prostate specimen for accurate correlation between histopathological data and medical imaging. Technology evaluation was performed with review and discussion of various methods used to section other organs and their possible applications for sectioning prostatectomy specimens.
RESULTS: No consensus has been achieved on how the prostate should be dissected to achieve a good correlation. Various customized sectioning instruments and techniques working with different mechanism are used in different research institutes to improve the correlation. Some of the methods have convincingly shown significant potential for improving image-specimen correlation. However, the semisolid consistent property of prostate tissue and the lack of identifiable landmarks remain challenges to be overcome, especially for fresh prostate sectioning and microtomy without external fiducials.
CONCLUSIONS: A standardized optimum protocol to dissect prostatectomy specimens is needed for the validation of medical imaging modalities by histologic correlation. These standards can enhance disease management by improving the comparability between different modalities.

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Mesh:

Year:  2010        PMID: 20180036     DOI: 10.1007/s11548-010-0405-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  42 in total

1.  MR-derived cerebral blood volume maps: issues regarding histological validation and assessment of tumor angiogenesis.

Authors:  A P Pathak; K M Schmainda; B D Ward; J R Linderman; K J Rebro; A S Greene
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

2.  MR histological correlation: a method for cutting specimens along the imaging plane in animal or ex vivo experiments.

Authors:  Olivier Rouvière; Carol Reynolds; Thomas Hulshizer; Phillip Rossman; Yuan Le; Joel P Felmlee; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2006-01       Impact factor: 4.813

3.  Prostate cancer: correlation of MR imaging and MR spectroscopy with pathologic findings after radiation therapy-initial experience.

Authors:  Darko Pucar; Amita Shukla-Dave; Hedvig Hricak; Chaya S Moskowitz; Kentaro Kuroiwa; Semra Olgac; Lanie E Ebora; Peter T Scardino; Jason A Koutcher; Kristen L Zakian
Journal:  Radiology       Date:  2005-06-21       Impact factor: 11.105

Review 4.  How good is MRI at detecting and characterising cancer within the prostate?

Authors:  Alexander P S Kirkham; Mark Emberton; Clare Allen
Journal:  Eur Urol       Date:  2006-06-30       Impact factor: 20.096

5.  Radiofrequency thermal ablation: correlation of hyperacute MR lesion images with tissue response.

Authors:  Michael S Breen; Roee S Lazebnik; Maryann Fitzmaurice; Sherif G Nour; Jonathan S Lewin; David L Wilson
Journal:  J Magn Reson Imaging       Date:  2004-09       Impact factor: 4.813

6.  Magnetic resonance diffusion characteristics of histologically defined prostate cancer in humans.

Authors:  Junqian Xu; Peter A Humphrey; Adam S Kibel; Abraham Z Snyder; Vamsidhar R Narra; Joseph J H Ackerman; Sheng-Kwei Song
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

7.  Prostatic evaluation by transrectal sonography with histopathologic correlation: the echopenic appearance of early carcinoma.

Authors:  W F Dähnert; U M Hamper; J C Eggleston; P C Walsh; R C Sanders
Journal:  Radiology       Date:  1986-01       Impact factor: 11.105

8.  Registering histologic and MR images of prostate for image-based cancer detection.

Authors:  Yiqiang Zhan; Yangming Ou; Michael Feldman; John Tomaszeweski; Christos Davatzikos; Dinggang Shen
Journal:  Acad Radiol       Date:  2007-11       Impact factor: 3.173

9.  Correlation of diffusion-weighted MRI with whole mount radical prostatectomy specimens.

Authors:  N Van As; E Charles-Edwards; A Jackson; S Jhavar; S Reinsberg; N Desouza; D Dearnaley; M Bailey; A Thompson; T Christmas; C Fisher; C Corbishley; S Sohaib
Journal:  Br J Radiol       Date:  2008-06       Impact factor: 3.039

10.  An abbreviated standard procedure for accurate tumor volume estimation in prostate cancer.

Authors:  H P Schmid; J E McNeal
Journal:  Am J Surg Pathol       Date:  1992-02       Impact factor: 6.394

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  10 in total

1.  A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds.

Authors:  Alan Priester; Shyam Natarajan; Jesse D Le; James Garritano; Bryan Radosavcev; Warren Grundfest; Daniel Ja Margolis; Leonard S Marks; Jiaoti Huang
Journal:  Am J Clin Exp Urol       Date:  2014-07-12

Review 2.  Review: in vivo optical spectral tissue sensing-how to go from research to routine clinical application?

Authors:  Lisanne L de Boer; Jarich W Spliethoff; Henricus J C M Sterenborg; Theo J M Ruers
Journal:  Lasers Med Sci       Date:  2016-12-02       Impact factor: 3.161

3.  Imaging of prostate cancer: a platform for 3D co-registration of in-vivo MRI ex-vivo MRI and pathology.

Authors:  Clement Orczyk; Artem Mikheev; Andrew B Rosenkrantz; Jonathan Melamed; Samir S Taneja; Henry Rusinek
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-02-23

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

Authors:  Alan Priester; Shyam Natarajan; Pooria Khoshnoodi; Daniel J Margolis; Steven S Raman; Robert E Reiter; Jiaoti Huang; Warren Grundfest; Leonard S Marks
Journal:  J Urol       Date:  2016-07-30       Impact factor: 7.450

5.  Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer.

Authors:  Hari Trivedi; Baris Turkbey; Ardeshir R Rastinehad; Compton J Benjamin; Marcelino Bernardo; Thomas Pohida; Vijay Shah; Maria J Merino; Bradford J Wood; W Marston Linehan; Aradhana M Venkatesan; Peter L Choyke; Peter A Pinto
Journal:  Urology       Date:  2012-01       Impact factor: 2.649

Review 6.  Challenges in accurate registration of 3-D medical imaging and histopathology in primary prostate cancer.

Authors:  Charles Meyer; Bing Ma; Lakshmi P Kunju; Matthew Davenport; Morand Piert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-03-16       Impact factor: 9.236

7.  Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging.

Authors:  Alan Priester; Holden Wu; Pooria Khoshnoodi; Douglas Schneider; Zhaohuan Zhang; Nazanin H Asvadi; Anthony Sisk; Steven Raman; Robert Reiter; Warren Grundfest; Leonard S Marks; Shyam Natarajan
Journal:  IEEE Trans Biomed Eng       Date:  2018-04-19       Impact factor: 4.538

8.  3D prostate histology image reconstruction: Quantifying the impact of tissue deformation and histology section location.

Authors:  Eli Gibson; Mena Gaed; José A Gómez; Madeleine Moussa; Stephen Pautler; Joseph L Chin; Cathie Crukley; Glenn S Bauman; Aaron Fenster; Aaron D Ward
Journal:  J Pathol Inform       Date:  2013-10-31

Review 9.  Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology.

Authors:  Rogier R Wildeboer; Ruud J G van Sloun; Arnoud W Postema; Christophe K Mannaerts; Maudy Gayet; Harrie P Beerlage; Hessel Wijkstra; Massimo Mischi
Journal:  J Ultrasound       Date:  2018-07-30

Review 10.  MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment.

Authors:  D Baldi; M Aiello; A Duggento; M Salvatore; C Cavaliere
Journal:  Contrast Media Mol Imaging       Date:  2019-05-29       Impact factor: 3.161

  10 in total

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