Three-Dimensional Printed Molds for Image-Guided Surgical Biopsies: An Open Source Computational Platform.

ABSTRACT:

Purpose

Spatial heterogeneity of tumors is a major challenge in precision oncology. The relationship between molecular and imaging heterogeneity is still poorly understood because it relies on the accurate coregistration of medical images and tissue biopsies. Tumor molds can guide the localization of biopsies, but their creation is time consuming, technologically challenging, and difficult to interface with routine clinical practice. These hurdles have so far hindered the progress in the area of multiscale integration of tumor heterogeneity data.

Methods

We have developed an open-source computational framework to automatically produce patient-specific 3-dimensional-printed molds that can be used in the clinical setting. Our approach achieves accurate coregistration of sampli

SUBMITTER: Crispin-Ortuzar M 

PROVIDER: S-EPMC7469624 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature