Published November 6, 2017 | Version v1
Journal article

Multicriteria plan optimization in the hands of physicians: a pilot study in prostate cancer and brain tumors

  • 1. Department of Physics, Technical University of Munich, Munich (Germany)
  • 2. Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich (Germany)
  • 3. Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA (United States)

Description

The purpose of this study was to demonstrate the feasibility of physician driven planning in intensity modulated radiotherapy (IMRT) with a multicriteria optimization (MCO) treatment planning system and template based plan optimization. Exploiting the full planning potential of MCO navigation, this alternative planning approach intends to improve planning efficiency and individual plan quality. Planning was retrospectively performed on 12 brain tumor and 10 post-prostatectomy prostate patients previously treated with MCO-IMRT. For each patient, physicians were provided with a template-based generated Pareto surface of optimal plans to navigate, using the beam angles from the original clinical plans. We compared physician generated plans to clinically delivered plans (created by dosimetrists) in terms of dosimetric differences, physician preferences and planning times. Plan qualities were similar, however physician generated and clinical plans differed in the prioritization of clinical goals. Physician derived prostate plans showed significantly better sparing of the high dose rectum and bladder regions (p(D1) < 0.05; D1: dose received by 1% of the corresponding structure). Physicians' brain tumor plans indicated higher doses for targets and brainstem (p(D1) < 0.05). Within blinded plan comparisons physicians preferred the clinical plans more often (brain: 6:3 out of 12, prostate: 2:6 out of 10) (not statistically significant). While times of physician involvement were comparable for prostate planning, the new workflow reduced the average involved time for brain cases by 30%. Planner times were reduced for all cases. Subjective benefits, such as a better understanding of planning situations, were observed by clinicians through the insight into plan optimization and experiencing dosimetric trade-offs. We introduce physician driven planning with MCO for brain and prostate tumors as a feasible planning workflow. The proposed approach standardizes the planning process by utilizing site specific templates and integrates physicians more tightly into treatment planning. Physicians' navigated plan qualities were comparable to the clinical plans. Given the reduction of planning time of the planner and the equal or lower planning time of physicians, this approach has the potential to improve departmental efficiencies.

Availability note (English)

Available from http://dx.doi.org/10.1186/s13014-017-0903-z; Available from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674858

Additional details

Identifiers

Publishing Information

Journal Title
Radiation Oncology (Online)
Journal Volume
12
Journal Page Range
vp.
ISSN
1748-717X

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49082475
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
BRAIN; DOSIMETRY; NEOPLASMS; OPTIMIZATION; PROSTATE; RADIATION DOSES; RADIOTHERAPY
Descriptors DEC
BODY; CENTRAL NERVOUS SYSTEM; DISEASES; DOSES; GLANDS; MALE GENITALS; MEDICINE; NERVOUS SYSTEM; NUCLEAR MEDICINE; ORGANS; RADIOLOGY; THERAPY

Optional Information

Copyright
Copyright (c) The Author(s). 2017
Notes
PMCID: PMC5674858; PMID: 29110689; PUBLISHER-ID: 903; OAI: oai:pubmedcentral.nih.gov:5674858