Deep 3D dose analysis for prediction of outcomes after liver stereotactic body radiation therapy

Bulat Ibragimov, Diego A.S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Accurate and precise dose delivery is the key factor for radiation therapy (RT) success. Currently, RT planning is based on optimization of oversimplified dose-volume metrics that consider all human organs to be homogeneous. The limitations of such an approach result in suboptimal treatments with poor outcomes: short survival, early cancer recurrence and radiation-induced toxicities of healthy organs. This paper pioneers the concept of deep 3D dose analysis for outcome prediction after liver stereotactic body RT (SBRT). The presented work develops tools for unification of dose plans into the same anatomy space, classifies dose plan using convolutional neural networks with transfer learning form anatomy images, and assembles the first volumetric liver atlas of the critical-to-spare liver regions. The concept is validated on prediction of post-SBRT survival and local cancer progression using a clinical database of primary and metastatic liver SBRTs. The risks of negative SBRT outcomes are quantitatively estimated for individual liver segments.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
EditorsGabor Fichtinger, Christos Davatzikos, Carlos Alberola-López, Alejandro F. Frangi, Julia A. Schnabel
PublisherSpringer Verlag
Pages684-692
Number of pages9
ISBN (Print)9783030009335
DOIs
StatePublished - 2018
Event21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: Sep 16 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Country/TerritorySpain
CityGranada
Period9/16/189/20/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Deep 3D dose analysis for prediction of outcomes after liver stereotactic body radiation therapy'. Together they form a unique fingerprint.

Cite this