Accepted Manuscript Title: 3D modelling of radical prostatectomy specimens: developing a method to quantify tumor morphometry for prostate cancer risk prediction Authors: Marcus C. Hovens, Kevin Lo, Michael Kerger, John Pedersen, Timothy Nottle, Natalie Kurganovs, Andrew Ryan, Justin S. Peters, Daniel Moon, Anthony J. Costello, Niall M. Corcoran, Matthew K.H. Hong PII: S0344-0338(17)30817-8 DOI: https://doi.org/10.1016/j.prp.2017.09.022 Reference: PRP 51903 To appear in: Received date: 10-8-2017 Revised date: 18-9-2017 Accepted date: 18-9-2017 Please cite this article as: Marcus C.Hovens, Kevin Lo, Michael Kerger, John Pedersen, Timothy Nottle, Natalie Kurganovs, Andrew Ryan, Justin S.Peters, Daniel Moon, Anthony J.Costello, Niall M.Corcoran, Matthew K.H.Hong, 3D modelling of radical prostatectomy specimens: developing a method to quantify tumor morphometry for prostate cancer risk prediction, Pathology - Research and Practice https://doi.org/10.1016/j.prp.2017.09.022 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.