PMID- 36168134
OWN - NLM
STAT- MEDLINE
DCOM- 20230425
LR  - 20230425
IS  - 2051-3909 (Electronic)
IS  - 2051-3895 (Print)
IS  - 2051-3895 (Linking)
VI  - 70 Suppl 2
IP  - Suppl 2
DP  - 2023 Apr
TI  - Evaluation of dose accumulation methods and workflows utilising cone beam 
      computed tomography images.
PG  - 26-36
LID - 10.1002/jmrs.622 [doi]
AB  - INTRODUCTION: Various adaptive radiation therapy (ART) methods have emerged, with 
      little consensus amongst the literature as to which is most appropriate. This 
      study aimed to compare dose mapping (DM) versus Monte Carlo recalculation (MCR), 
      using cone beam computed tomography (CBCT) images when utilised in automated ART 
      dose accumulation workflows in the MIM Maestro software package. METHODS: The 
      treatment plans for 38 cancer patients (19 prostate and 19 head and neck cases) 
      were used to perform DM or MCR retrospectively upon CBCTs acquired during 
      treatment, which were then deformably registered to the planning CT (DR-pCT) to 
      facilitate dose accumulation. Dose-volume and region-of-interest data were 
      extracted for the planning target volumes and organs at risk. Intraclass 
      correlation (ICC) values and Bland-Altman plots were utilised to compare DM 
      versus MCR doses on the CBCT images as well as CBCT versus DR-pCT doses. RESULTS: 
      When comparing DM and MCR on CBCTs, the differences across dose level mean dose 
      differences were mostly within a +/-5% level of agreement based on the Bland-Altman 
      plots, with over 67% of ICC values over 0.9 and indicative of good correlation. 
      When these distributions were deformed back to the planning CT, the agreement was 
      reduced considerably, with larger differences (exceeding +/-5%) resulting from 
      workflow-related issues. CONCLUSION: The results emphasise the need to consider 
      and make adaptations to minimise the effect of workflows on algorithm 
      performance. Manual user intervention, refined departmental protocols and further 
      developments to the MIM Maestro software will enhance the use of this tool.
CI  - (c) 2022 The Authors. Journal of Medical Radiation Sciences published by John Wiley 
      & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and 
      Radiation Therapy and New Zealand Institute of Medical Radiation Technology.
FAU - Brink, Amelia
AU  - Brink A
AUID- ORCID: 0000-0002-8865-4871
AD  - School of Clinical Sciences, Faculty of Health, Queensland University of 
      Technology, Brisbane, Queensland, Australia.
AD  - Department of Radiation Oncology, Royal Brisbane and Women's Hospital (RBWH), 
      Metro North Health Service District, Herston, Queensland, Australia.
FAU - Stewart, Kate
AU  - Stewart K
AD  - School of Clinical Sciences, Faculty of Health, Queensland University of 
      Technology, Brisbane, Queensland, Australia.
AD  - Department of Radiation Oncology, Royal Brisbane and Women's Hospital (RBWH), 
      Metro North Health Service District, Herston, Queensland, Australia.
FAU - Hargrave, Catriona
AU  - Hargrave C
AUID- ORCID: 0000-0003-4298-2228
AD  - School of Clinical Sciences, Faculty of Health, Queensland University of 
      Technology, Brisbane, Queensland, Australia.
AD  - Radiation Oncology PAH - Raymond Terrace Campus, Division of Cancer Services, 
      Metro South Health Service District, South Brisbane, Queensland, Australia.
LA  - eng
PT  - Journal Article
DEP - 20220927
PL  - United States
TA  - J Med Radiat Sci
JT  - Journal of medical radiation sciences
JID - 101620352
SB  - IM
MH  - Male
MH  - Humans
MH  - Workflow
MH  - Radiotherapy Dosage
MH  - Retrospective Studies
MH  - *Radiotherapy Planning, Computer-Assisted/methods
MH  - *Cone-Beam Computed Tomography/methods
PMC - PMC10122928
OTO - NOTNLM
OT  - adaptive radiation therapy
OT  - computed tomography
OT  - dose estimation
OT  - image registration
OT  - treatment planning
COIS- The authors declare no conflicts of interest.
EDAT- 2022/09/29 06:00
MHDA- 2023/04/25 10:19
PMCR- 2022/09/27
CRDT- 2022/09/28 00:17
PHST- 2022/02/09 00:00 [received]
PHST- 2022/09/13 00:00 [accepted]
PHST- 2023/04/25 10:19 [medline]
PHST- 2022/09/29 06:00 [pubmed]
PHST- 2022/09/28 00:17 [entrez]
PHST- 2022/09/27 00:00 [pmc-release]
AID - JMRS622 [pii]
AID - 10.1002/jmrs.622 [doi]
PST - ppublish
SO  - J Med Radiat Sci. 2023 Apr;70 Suppl 2(Suppl 2):26-36. doi: 10.1002/jmrs.622. Epub 
      2022 Sep 27.