OBJECTIVES: Multi-parametric MRI is emerging as a promising method for prostate cancer diagnosis. prognosis and treatment planning. However, the localization of in-vivo detected lesions and pathologic sites of cancer remains a significant challenge. To overcome this limitation we have developed and tested a system for co-registration of in-vivo MRI, ex-vivo MRI and histology. MATERIALS AND METHODS: Three men diagnosed with localized prostate cancer (ages 54-72, PSA levels 5.1-7.7 ng/ml) were prospectively enrolled in this study. All patients underwent 3T multi-parametric MRI that included T2W, DCE-MRI, and DWI prior to robotic-assisted prostatectomy. Ex-vivo multi-parametric MRI was performed on fresh prostate specimen. Excised prostates were then sliced at regular intervals and photographed both before and after fixation. Slices were perpendicular to the main axis of the posterior capsule, i.e., along the direction of the rectal wall. Guided by the location of the urethra, 2D digital images were assembled into 3D models. Cancer foci, extra-capsular extensions and zonal margins were delineated by the pathologist and included in 3D histology data. A locally-developed software was applied to register in-vivo, ex-vivo and histology using an over-determined set of anatomical landmarks placed in anterior fibro-muscular stroma, central. transition and peripheral zones. The mean root square distance across corresponding control points was used to assess co-registration error. RESULTS: Two specimens were pT3a and one pT2b (negative margin) at pathology. The software successfully fused in-vivo MRI. ex-vivo MRI fresh specimen and histology using appropriate (rigid and affine) transformation models with mean square error of 1.59 mm. Coregistration accuracy was confirmed by multi-modality viewing using operator-guided variable transparency. CONCLUSION: The method enables successful co-registration of pre-operative MRI, ex-vivo MRI and pathology and it provides initial evidence of feasibility of MRI-guided surgical planning.
OBJECTIVES: Multi-parametric MRI is emerging as a promising method for prostate cancer diagnosis. prognosis and treatment planning. However, the localization of in-vivo detected lesions and pathologic sites of cancer remains a significant challenge. To overcome this limitation we have developed and tested a system for co-registration of in-vivo MRI, ex-vivo MRI and histology. MATERIALS AND METHODS: Three men diagnosed with localized prostate cancer (ages 54-72, PSA levels 5.1-7.7 ng/ml) were prospectively enrolled in this study. All patients underwent 3T multi-parametric MRI that included T2W, DCE-MRI, and DWI prior to robotic-assisted prostatectomy. Ex-vivo multi-parametric MRI was performed on fresh prostate specimen. Excised prostates were then sliced at regular intervals and photographed both before and after fixation. Slices were perpendicular to the main axis of the posterior capsule, i.e., along the direction of the rectal wall. Guided by the location of the urethra, 2D digital images were assembled into 3D models. Cancer foci, extra-capsular extensions and zonal margins were delineated by the pathologist and included in 3D histology data. A locally-developed software was applied to register in-vivo, ex-vivo and histology using an over-determined set of anatomical landmarks placed in anterior fibro-muscular stroma, central. transition and peripheral zones. The mean root square distance across corresponding control points was used to assess co-registration error. RESULTS: Two specimens were pT3a and one pT2b (negative margin) at pathology. The software successfully fused in-vivo MRI. ex-vivo MRI fresh specimen and histology using appropriate (rigid and affine) transformation models with mean square error of 1.59 mm. Coregistration accuracy was confirmed by multi-modality viewing using operator-guided variable transparency. CONCLUSION: The method enables successful co-registration of pre-operative MRI, ex-vivo MRI and pathology and it provides initial evidence of feasibility of MRI-guided surgical planning.
Authors: Caroline M A Hoeks; Jelle O Barentsz; Thomas Hambrock; Derya Yakar; Diederik M Somford; Stijn W T P J Heijmink; Tom W J Scheenen; Pieter C Vos; Henkjan Huisman; Inge M van Oort; J Alfred Witjes; Arend Heerschap; Jurgen J Fütterer Journal: Radiology Date: 2011-10 Impact factor: 11.105
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
Authors: Stephen J Freedland; Alan W Partin; Elizabeth B Humphreys; Leslie A Mangold; Patrick C Walsh Journal: Cancer Date: 2007-04-01 Impact factor: 6.860
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
Authors: Gregory J Metzger; Chaitanya Kalavagunta; Benjamin Spilseth; Patrick J Bolan; Xiufeng Li; Diane Hutter; Jung W Nam; Andrew D Johnson; Jonathan C Henriksen; Laura Moench; Badrinath Konety; Christopher A Warlick; Stephen C Schmechel; Joseph S Koopmeiners Journal: Radiology Date: 2016-01-29 Impact factor: 11.105
Authors: Olga Starobinets; Richard Guo; Jeffry P Simko; Kyle Kuchinsky; John Kurhanewicz; Peter R Carroll; Kirsten L Greene; Susan M Noworolski Journal: J Magn Reson Imaging Date: 2013-10-17 Impact factor: 4.813
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
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
Authors: Roger M Bourne; Colleen Bailey; Edward William Johnston; Hayley Pye; Susan Heavey; Hayley Whitaker; Bernard Siow; Alex Freeman; Greg L Shaw; Ashwin Sridhar; Thomy Mertzanidou; David J Hawkes; Daniel C Alexander; Shonit Punwani; Eleftheria Panagiotaki Journal: Front Oncol Date: 2017-03-24 Impact factor: 6.244