title: Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images.
abstract: OBJECTIVE
  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.
authors.affiliation: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore. chen0610@ntu.edu.sg
authors.forename: Li Hong
authors.initials: LH
authors.lastname: Chen
authors.forename: Henry
authors.initials: H
authors.lastname: Ho
authors.forename: Richie
authors.initials: R
authors.lastname: Lazaro
authors.forename: Choon Hua
authors.initials: CH
authors.lastname: Thng
authors.forename: John
authors.initials: J
authors.lastname: Yuen
authors.forename: Wan Sing
authors.initials: WS
authors.lastname: Ng
authors.forename: Chris
authors.initials: C
authors.lastname: Cheng
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D008297:Male; D011468:Prostatectomy / Q000379:methods*; D011471:Prostatic Neoplasms / Q000175:diagnosis*