Literature DB >> 29056576

Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses.

Durgesh Kumar Dwivedi1, Yonatan Chatzinoff1, Yue Zhang1, Qing Yuan1, Michael Fulkerson1, Rajiv Chopra2, James Brugarolas3, Jeffrey A Cadeddu4, Payal Kapur5, Ivan Pedrosa6.   

Abstract

OBJECTIVE: To implement a platform for colocalization of in vivo quantitative multiparametric magnetic resonance imaging features with ex vivo surgical specimens of patients with renal masses using patient-specific 3-dimensional (3D)-printed tumor molds, which may aid in targeted tissue procurement and radiomics and radiogenomic analyses.
MATERIALS AND METHODS: Volumetric segmentation of 6 renal masses was performed with 3D Slicer (http://www.slicer.org) to create a 3D tumor model. A slicing guide template was created with specialized software, which included notches corresponding to the anatomic locations of the magnetic resonance images. The tumor model was subtracted from the slicing guide to create a depression in the slicing guide corresponding to the exact size and shape of the tumor. A customized, tumor-specific, slicing guide was then printed using a 3D printer. After partial nephrectomy, the surgical specimen was bivalved through the preselected magnetic resonance imaging (MRI) plane. A thick slab of the tumor was obtained, fixed, and processed as a whole-mount slide and was correlated to multiparametric MRI findings.
RESULTS: All patients successfully underwent partial nephrectomy and adequate fitting of the tumor specimens within the 3D mold was achieved in all tumors. Distinct in vivo MRI features corresponded to unique pathologic characteristics in the same tumor. The average cost of printing each mold was US$160.7 ± 111.1 (range: US$20.9-$350.7).
CONCLUSION: MRI-based preoperative 3D printing of tumor-specific molds allow for accurate sectioning of the tumor after surgical resection and colocalization of in vivo imaging features with tissue-based analysis in radiomics and radiogenomic studies.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29056576      PMCID: PMC5885749          DOI: 10.1016/j.urology.2017.08.056

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  30 in total

1.  A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.

Authors:  Jun Xu; Xiaofei Luo; Guanhao Wang; Hannah Gilmore; Anant Madabhushi
Journal:  Neurocomputing       Date:  2016-02-17       Impact factor: 5.719

2.  Use of 3D printed models in medical education: A randomized control trial comparing 3D prints versus cadaveric materials for learning external cardiac anatomy.

Authors:  Kah Heng Alexander Lim; Zhou Yaw Loo; Stephen J Goldie; Justin W Adams; Paul G McMenamin
Journal:  Anat Sci Educ       Date:  2015-10-15       Impact factor: 5.958

3.  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

4.  Angiomyolipoma with minimal fat: can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques?

Authors:  Nicole Hindman; Long Ngo; Elizabeth M Genega; Jonathan Melamed; Jesse Wei; Julia M Braza; Neil M Rofsky; Ivan Pedrosa
Journal:  Radiology       Date:  2012-09-25       Impact factor: 11.105

5.  Intratumor Heterogeneity of Perfusion and Diffusion in Clear-Cell Renal Cell Carcinoma: Correlation With Tumor Cellularity.

Authors:  Qing Yuan; Payal Kapur; Yue Zhang; Yin Xi; Ingrid Carvo; Sabina Signoretti; Ivan E Dimitrov; Jeffrey A Cadeddu; Vitaly Margulis; James Brugarolas; Ananth J Madhuranthakam; Ivan Pedrosa
Journal:  Clin Genitourin Cancer       Date:  2016-04-22       Impact factor: 2.872

6.  Arterial spin-labeling MR imaging of renal masses: correlation with histopathologic findings.

Authors:  Rotem S Lanzman; Phil M Robson; Maryellen R Sun; Amish D Patel; Kimiknu Mentore; Andrew A Wagner; Elizabeth M Genega; Neil M Rofsky; David C Alsop; Ivan Pedrosa
Journal:  Radiology       Date:  2012-10-09       Impact factor: 11.105

7.  The Radiogenomic Risk Score: Construction of a Prognostic Quantitative, Noninvasive Image-based Molecular Assay for Renal Cell Carcinoma.

Authors:  Neema Jamshidi; Eric Jonasch; Matthew Zapala; Ronald L Korn; Lejla Aganovic; Hongjuan Zhao; Raviprakash Tumkur Sitaram; Robert J Tibshirani; Sudeep Banerjee; James D Brooks; Borje Ljungberg; Michael D Kuo
Journal:  Radiology       Date:  2015-08-19       Impact factor: 11.105

8.  Three-dimensional printing creates models for surgical planning of aortic valve replacement after previous coronary bypass grafting.

Authors:  Ralf Sodian; Daniel Schmauss; Mathias Markert; Stefan Weber; Konstantin Nikolaou; Sandra Haeberle; Ferdinand Vogt; Calin Vicol; Tim Lueth; Bruno Reichart; Christoph Schmitz
Journal:  Ann Thorac Surg       Date:  2008-06       Impact factor: 4.330

9.  Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer.

Authors:  Hersh Chandarana; Andrew B Rosenkrantz; Thais C Mussi; Sooah Kim; Afshan A Ahmad; Sean D Raj; John McMenamy; Jonathan Melamed; James S Babb; Berthold Kiefer; Atilla P Kiraly
Journal:  Radiology       Date:  2012-12       Impact factor: 11.105

10.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

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  16 in total

Review 1.  Radiomics in Kidney Cancer: MR Imaging.

Authors:  Alberto Diaz de Leon; Payal Kapur; Ivan Pedrosa
Journal:  Magn Reson Imaging Clin N Am       Date:  2019-02       Impact factor: 2.266

2.  State-of-the-Art Renal Imaging in Children.

Authors:  Bernarda Viteri; Juan S Calle-Toro; Susan Furth; Kassa Darge; Erum A Hartung; Hansel Otero
Journal:  Pediatrics       Date:  2020-01-08       Impact factor: 7.124

Review 3.  3D Printed Personalized Medicine for Cancer: Applications for Betterment of Diagnosis, Prognosis and Treatment.

Authors:  Harshada Bhuskute; Pravin Shende; Bala Prabhakar
Journal:  AAPS PharmSciTech       Date:  2021-12-01       Impact factor: 3.246

Review 4.  Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes: A Systematic Review and Quality Assessment Study.

Authors:  Syafiq Ramlee; David Hulse; Kinga Bernatowicz; Raquel Pérez-López; Evis Sala; Luigi Aloj
Journal:  Cancers (Basel)       Date:  2022-07-27       Impact factor: 6.575

Review 5.  A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors.

Authors:  Claudia-Gabriela Moldovanu; Andrei Lebovici; Mircea Marian Buruian
Journal:  Med Pharm Rep       Date:  2022-01-31

6.  A systematic review of clinical value of three-dimensional printing in renal disease.

Authors:  Zhonghua Sun; Dongting Liu
Journal:  Quant Imaging Med Surg       Date:  2018-04

7.  Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience.

Authors:  Durgesh K Dwivedi; Yin Xi; Payal Kapur; Ananth J Madhuranthakam; Matthew A Lewis; Durga Udayakumar; Robert Rasmussen; Qing Yuan; Aditya Bagrodia; Vitaly Margulis; Michael Fulkerson; James Brugarolas; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  Clin Genitourin Cancer       Date:  2020-05-23       Impact factor: 2.872

Review 8.  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

9.  Deciphering Intratumoral Molecular Heterogeneity in Clear Cell Renal Cell Carcinoma with a Radiogenomics Platform.

Authors:  Durga Udayakumar; Ze Zhang; Yin Xi; Durgesh K Dwivedi; Michael Fulkerson; Sydney Haldeman; Tiffani McKenzie; Qurratulain Yousuf; Allison Joyce; Asghar Hajibeigi; Hollis Notgrass; Alberto Diaz de Leon; Qing Yuan; Matthew A Lewis; Ananth J Madhuranthakam; Robert C Sibley; Roy Elias; Junyu Guo; Alana Christie; Renée M McKay; Jeffrey A Cadeddu; Aditya Bagrodia; Vitaly Margulis; James Brugarolas; Tao Wang; Payal Kapur; Ivan Pedrosa
Journal:  Clin Cancer Res       Date:  2021-07-01       Impact factor: 12.531

Review 10.  Novel Biomaterials Used in Medical 3D Printing Techniques.

Authors:  Karthik Tappa; Udayabhanu Jammalamadaka
Journal:  J Funct Biomater       Date:  2018-02-07
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