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.
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Article info
Publication history
Published online: October 19, 2017
Accepted:
August 31,
2017
Received:
May 19,
2017
Footnotes
Financial Disclosure: The authors declare that they have no relevant financial interests.
Funding Support: This study was supported by the National Institutes of Health (grants P50CA196516, awarded to J.A.C., P.K., and I.P.; and R01 5RO1CA154475, awarded to D.D., Y.Z., and I.P.).
Identification
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© 2017 Elsevier Inc. All rights reserved.