• The novel universal conformity...

Treffer: The novel universal conformity index and unconformity index algorithms for radiotherapy treatment plans.

Title:
The novel universal conformity index and unconformity index algorithms for radiotherapy treatment plans.
Authors:
Gonultas L; Universal Radiotherapy R&D Co. Ltd., Ankara, Turkey; Vocational School of Health Services, Ankara Yıldırım Beyazıt University, Ankara, Turkey. Electronic address: leventgonultas@gmail.com., Dirican B; Radiation Oncology Department of Gulhane Medicine Faculty, Health Sciences University, Ankara, Turkey.
Source:
Medical dosimetry : official journal of the American Association of Medical Dosimetrists [Med Dosim] 2022 Autumn; Vol. 47 (3), pp. 295-300. Date of Electronic Publication: 2022 Jun 05.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier Science Country of Publication: United States NLM ID: 8908862 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4022 (Electronic) Linking ISSN: 18734022 NLM ISO Abbreviation: Med Dosim Subsets: MEDLINE
Imprint Name(s):
Publication: <2000->: New York, NY : Elsevier Science
Original Publication: [Southwest Harbor, Me. : Beech Hill Pub.,
MeSH Terms:
Radiation Oncology* , Radiotherapy, Intensity-Modulated*/methods, Algorithms ; Humans ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods
Contributed Indexing:
Keywords: Automatic treatment planning system; Conformity index; Dosimetry; Evaluation tool; Optimization tool; Radiotherapy treatment plan
Entry Date(s):
Date Created: 20220608 Date Completed: 20220805 Latest Revision: 20220805
Update Code:
20250114
DOI:
10.1016/j.meddos.2022.04.008
PMID:
35676109
Database:
MEDLINE

Weitere Informationen

The purpose of the study is that introduce novel universal Conformity Index (CI) and Unconformity Index (UCIs) Algorithms that can be used for all radiotherapy treatment planning methods. The applicability of existing CIs has been reviewed and analyzed for each radiotherapy plan dose distribution. Novel CI and UCIs have been derived in this study to complement the calculation deficiencies. The novel CI evaluation software has been developed using these algorithms with Eclipse Scripting Application Programing Interface (ESAPI). Also, this software has been tested at clinically case. There are deficiencies in existing CI formulas. Some of currently used CIs only consider the irradiated healthy tissue volume, whereas others solely consider the irradiated tumor volume. The existing CIs can't reveal the cause of unconformity and calculate the unconformity magnitude. In the current study, CI evaluation software were successfully run integrated with TPS. Novel CI and UCIs algorithms introduced in the current study overcome all calculation deficiencies of existing CIs. Results have showed that the novel CI yielding correct results when cold spots has occurred in the tumor volume (TV) and/or healthy tissues has been irradiated was completely compatible with the accepted definitions of the conformity index. Also, it is universally applicable. Besides, cause and magnitude of unconformity in plans can accurately be revealed with the novel UCI algorithms. Thus, what to be done to increase the conformity is well addressed. Novel CI and UCIs can effectively be used as optimization tool to create the best radiotherapy dose distribution.
(Copyright © 2022 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.)