Literature DB >> 29993431

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

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.   

Abstract

OBJECTIVE: This investigation was performed to evaluate the registration accuracy between magnetic resonance imaging (MRI) and pathology using three-dimensional (3-D) printed molds.
METHODS: Tissue-mimicking prostate phantoms were manufactured with embedded fiducials. The fiducials were used to measure and compare target registration error (TRE) between phantoms that were sliced by hand versus phantoms that were sliced within 3-D-printed molds. Subsequently, ten radical prostatectomy specimens were placed inside molds, scanned with MRI, and then sliced. The ex vivo scan was used to assess the true location of whole mount (WM) slides relative to in vivo MRI. The TRE between WM and in vivo MRI was measured using anatomic landmarks.
RESULTS: Manually sliced phantoms had a 4.1-mm mean TRE, whereas mold-sliced phantoms had a 1.9-mm mean TRE. Similarly, mold-assisted slicing reduced mean angular misalignment around the left-right (LR) anatomic axis from 10.7° to 4.5°. However, ex vivo MRI revealed that excised prostates were misaligned within molds, including a mean 14° rotation about the LR axis. The mean in-plane TRE was 3.3 mm using molds alone and 2.2 mm after registration was corrected with ex vivo MRI.
CONCLUSION: Patient-specific molds improved accuracy relative to manual slicing techniques in a phantom model. However, the registration accuracy of surgically resected specimens was limited by their imperfect fit within molds. This limitation can be overcome with the addition of ex vivo imaging. SIGNIFICANCE: The accuracy of 3-D-printed molds was characterized, quantifying their utility for facilitating MRI-pathology registration.

Entities:  

Mesh:

Year:  2018        PMID: 29993431      PMCID: PMC6344233          DOI: 10.1109/TBME.2018.2828304

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  30 in total

1.  A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes.

Authors:  Baowei Fei; Corey Kemper; David L Wilson
Journal:  Comput Med Imaging Graph       Date:  2003 Jul-Aug       Impact factor: 4.790

2.  Preliminary experience with a novel method of three-dimensional co-registration of prostate cancer digital histology and in vivo multiparametric MRI.

Authors:  C Orczyk; H Rusinek; A B Rosenkrantz; A Mikheev; F-M Deng; J Melamed; S S Taneja
Journal:  Clin Radiol       Date:  2013-08-28       Impact factor: 2.350

3.  A methodology for registration of a histological slide and in vivo MRI volume based on optimizing mutual information.

Authors:  Charles R Meyer; Bradford A Moffat; Kyle K Kuszpit; Peyton L Bland; Paul E Mckeever; Timothy D Johnson; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Mol Imaging       Date:  2006 Jan-Mar       Impact factor: 4.488

4.  Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.

Authors:  Jonathan Chappelow; B Nicolas Bloch; Neil Rofsky; Elizabeth Genega; Robert Lenkinski; William DeWolf; Anant Madabhushi
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

Review 5.  Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images.

Authors:  Li Hong Chen; Henry Ho; Richie Lazaro; Choon Hua Thng; John Yuen; Wan Sing Ng; Chris Cheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-02-24       Impact factor: 2.924

6.  Registration of prostate histology images to ex vivo MR images via strand-shaped fiducials.

Authors:  Eli Gibson; Cathie Crukley; Mena Gaed; José A Gómez; Madeleine Moussa; Joseph L Chin; Glenn S Bauman; Aaron Fenster; Aaron D Ward
Journal:  J Magn Reson Imaging       Date:  2012-07-31       Impact factor: 4.813

7.  Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis.

Authors:  Maarten de Rooij; Esther H J Hamoen; Jurgen J Fütterer; Jelle O Barentsz; Maroeska M Rovers
Journal:  AJR Am J Roentgenol       Date:  2014-02       Impact factor: 3.959

8.  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

9.  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

10.  Development of a registration framework to validate MRI with histology for prostate focal therapy.

Authors:  H M Reynolds; S Williams; A Zhang; R Chakravorty; D Rawlinson; C S Ong; M Esteva; C Mitchell; B Parameswaran; M Finnegan; G Liney; A Haworth
Journal:  Med Phys       Date:  2015-12       Impact factor: 4.071

View more
  2 in total

1.  Head-to-Head Comparison of 68Ga-PSMA-11 PET/CT and mpMRI with a Histopathology Gold Standard in the Detection, Intraprostatic Localization, and Determination of Local Extension of Primary Prostate Cancer: Results from a Prospective Single-Center Imaging Trial.

Authors:  Ida Sonni; Ely R Felker; Andrew T Lenis; Anthony E Sisk; Shadfar Bahri; Martin Allen-Auerbach; Wesley R Armstrong; Voraparee Suvannarerg; Teeravut Tubtawee; Tristan Grogan; David Elashoff; Matthias Eiber; Steven S Raman; Johannes Czernin; Robert E Reiter; Jeremie Calais
Journal:  J Nucl Med       Date:  2021-10-14       Impact factor: 11.082

Review 2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.