Fully automated, comprehensive knowledge-based planning for stereotactic radiosurgery: Preclinical validation through blinded physician review.

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Abstract

As knowledge-based planning (KBP) attempts to augment and potentially supplant manual treatment planning, it is imperative to ensure any implementation maintains or improves overall plan quality in any disease site. The purpose of this study was to demonstrate the overall quality of KBP-driven automated stereotactic radiosurgery (SRS) treatment planning using blinded physician comparison and determine systematic factors predictive of physician plan preference to guide future KBP refinement.

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Journal

Journal ID (iso-abbrev): Pract Radiat Oncol

Title: Practical radiation oncology

Publisher: Elsevier BV

ISSN (Electronic): 1879-8519

ISSN (Print): 1879-8500

Publication date (Electronic): July 18 2017

Volume: 7

Issue: 6

Affiliations

[1 ] Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, California.

[2 ] Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.

[3 ] Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, California. Electronic address: kevinmoore@ucsd.edu.

Article

Publisher Item ID: S1879-8500(17)30118-2

DOI: 10.1016/j.prro.2017.04.011

PubMed ID: 28711334

SO-VID: cf9086e3-c4a9-42b1-9d13-518807260af6

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