PMID- 31158829
OWN - NLM
STAT- MEDLINE
DCOM- 20200306
LR  - 20210109
IS  - 1361-6560 (Electronic)
IS  - 0031-9155 (Print)
IS  - 0031-9155 (Linking)
VI  - 64
IP  - 13
DP  - 2019 Jul 5
TI  - Conversion of computational human phantoms into DICOM-RT for normal tissue dose 
      assessment in radiotherapy patients.
PG  - 13NT02
LID - 10.1088/1361-6560/ab2670 [doi]
AB  - Radiotherapy (RT) treatment planning systems (TPS) are designed for the fast 
      calculation of dose to the tumor bed and nearby organs at risk using x-ray 
      computed tomography (CT) images. However, CT images for a patient are typically 
      available for only a small portion of the body, and in some cases, such as for 
      retrospective epidemiological studies, no images may be available at all. When 
      dose to organs that lie out-of-scan must be estimated, a convenient alternative 
      for the unknown patient anatomy is to use a matching whole-body computational 
      phantom as a surrogate. The purpose of the current work is to connect such 
      computational phantoms to commercial RT TPS for retrospective organ dose 
      estimation. A custom software with graphical user interface (GUI), called the 
      DICOM-RT Generator, was developed in MATLAB to convert voxel computational 
      phantoms into the digital imaging and communications in medicine radiotherapy 
      (DICOM-RT) format, compatible with commercial TPS. DICOM CT image sets for the 
      phantoms are created via a density-to-Hounsfield unit (HU) conversion curve. 
      Accompanying structure sets containing the organ contours are automatically 
      generated by tracing binary masks of user-specified organs on each phantom CT 
      slice. The software was tested on a library of body size-dependent phantoms, the 
      International Commission on Radiological Protection reference phantoms, and a 
      canine voxel phantom, taking only a few minutes per conversion. The resulting 
      DICOM-RT files were tested on several commercial TPS. As an example application, 
      a library of converted phantoms was used to estimate organ doses for members of 
      the National Wilms Tumor Study (NWTS) cohort. The converted phantom library, in 
      DICOM format, and a standalone MATLAB-compiled executable of the DICOM-RT 
      Generator are available for others to use for research purposes 
      (http://ncidose.cancer.gov).
FAU - Griffin, Keith T
AU  - Griffin KT
AD  - Division of Cancer Epidemiology and Genetics, National Cancer Institute, National 
      Institutes of Health, Rockville, MD 20850, United States of America.
FAU - Mille, Matthew M
AU  - Mille MM
FAU - Pelletier, Christopher
AU  - Pelletier C
FAU - Gopalakrishnan, Mahesh
AU  - Gopalakrishnan M
FAU - Jung, Jae Won
AU  - Jung JW
FAU - Lee, Choonik
AU  - Lee C
FAU - Kalapurakal, John
AU  - Kalapurakal J
FAU - Pyakuryal, Anil
AU  - Pyakuryal A
FAU - Lee, Choonsik
AU  - Lee C
LA  - eng
GR  - R01 CA219013/CA/NCI NIH HHS/United States
GR  - Z99 CA999999/ImNIH/Intramural NIH HHS/United States
GR  - ZIA CP010131-21/ImNIH/Intramural NIH HHS/United States
PT  - Journal Article
DEP - 20190705
PL  - England
TA  - Phys Med Biol
JT  - Physics in medicine and biology
JID - 0401220
SB  - IM
MH  - Animals
MH  - Body Size
MH  - Child
MH  - Dogs
MH  - Humans
MH  - Male
MH  - Organs at Risk/*radiation effects
MH  - *Phantoms, Imaging
MH  - *Radiation Dosage
MH  - Radiation Protection
MH  - Radiotherapy Planning, Computer-Assisted/*instrumentation
MH  - Radiotherapy, Image-Guided/*adverse effects
MH  - Software
MH  - *Tomography, X-Ray Computed
PMC - PMC6612588
MID - NIHMS1035391
EDAT- 2019/06/04 06:00
MHDA- 2020/03/07 06:00
PMCR- 2020/07/05
CRDT- 2019/06/04 06:00
PHST- 2019/06/04 06:00 [pubmed]
PHST- 2020/03/07 06:00 [medline]
PHST- 2019/06/04 06:00 [entrez]
PHST- 2020/07/05 00:00 [pmc-release]
AID - 10.1088/1361-6560/ab2670 [doi]
PST - epublish
SO  - Phys Med Biol. 2019 Jul 5;64(13):13NT02. doi: 10.1088/1361-6560/ab2670.