Development and validation of a population-based anatomical colorectal model for radiation dosimetry in late effects studies of survivors of childhood cancer

Constance A Owens; Bastien Rigaud; Ethan B Ludmir; Aashish C Gupta; Suman Shrestha; Arnold C Paulino; Susan A Smith; Christine B Peterson; Stephen F Kry; Choonsik Lee; Tara O Henderson; Gregory T Armstrong; Kristy K Brock; Rebecca M Howell

doi:10.1016/j.radonc.2022.08.027

Development and validation of a population-based anatomical colorectal model for radiation dosimetry in late effects studies of survivors of childhood cancer

Radiother Oncol. 2022 Nov:176:118-126. doi: 10.1016/j.radonc.2022.08.027. Epub 2022 Sep 5.

Authors

Affiliations

¹ The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Graduate Program in Medical Physics, Houston, TX, USA. Electronic address: caowens@mdanderson.org.
² The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, USA.
³ The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA; The University of Texas MD Anderson Cancer Center, Department of Biostatistics, Houston, TX, USA.
⁴ The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Graduate Program in Medical Physics, Houston, TX, USA.
⁵ The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA.
⁶ The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA.
⁷ The University of Texas MD Anderson Cancer Center, Department of Biostatistics, Houston, TX, USA.
⁸ National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA.
⁹ The University of Chicago, Department of Pediatrics, Chicago, IL, USA.
¹⁰ St. Jude Children's Research Hospital, Department of Epidemiology and Cancer Control, Memphis, TN, USA.
¹¹ The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA; The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, USA.
¹² The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Graduate Program in Medical Physics, Houston, TX, USA. Electronic address: rhowell@mdanderson.org.

Abstract

Purpose: The purposes of this study were to develop and integrate a colorectal model that incorporates anatomical variations of pediatric patients into the age-scalable MD Anderson Late Effects (MDA-LE) computational phantom, and validate the model for pediatric radiation therapy (RT) dose reconstructions.

Methods: Colorectal contours were manually derived from whole-body non-contrast computed tomography (CT) scans of 114 pediatric patients (age range: 2.1-21.6 years, 74 males, 40 females). One contour was used for an anatomical template, 103 for training and 10 for testing. Training contours were used to create a colorectal principal component analysis (PCA)-based statistical shape model (SSM) to extract the population's dominant deformations. The SSM was integrated into the MDA-LE phantom. Geometric accuracy was assessed between patient-specific and SSM contours using several overlap metrics. Two alternative colorectal shapes were generated using the first 17 dominant modes of the PCA-based SSM. Dosimetric accuracy was assessed by comparing colorectal doses from test patients' CT-based RT plans (ground truth) with reconstructed doses for the mean and two alternative models in age-matched MDA-LE phantoms.

Results: When using all 103 PCA modes, the mean (min-max) Dice similarity coefficient, distance-to-agreement and Hausdorff distance between the patient-specific and reconstructed contours for the test patients were 0.89 (0.85-0.91), 2.1 mm (1.7-3.0), and 8.6 mm (5.7-14.3), respectively. The average percent difference between reconstructed and ground truth mean and maximum colorectal doses for the mean (alternative 1, 2) model were 6.3% (8.1%, 6.1%) and 4.4% (4.3%, 4.7%), respectively.

Conclusions: We developed, validated and integrated a colorectal PCA-based SSM into the MDA-LE phantom and demonstrated its dosimetric performance for accurate pediatric RT dose reconstruction.

Keywords: Childhood cancer; Computational phantom; Dose reconstruction; Late effects; Radiation therapy; Radiation-related late effects.

Publication types

Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural

MeSH terms

Adolescent
Adult
Adult Survivors of Child Adverse Events*
Cancer Survivors*
Child
Child, Preschool
Colorectal Neoplasms* / diagnostic imaging
Colorectal Neoplasms* / radiotherapy
Female
Humans
Male
Phantoms, Imaging
Radiometry / methods
Tomography, X-Ray Computed / methods
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding