Historical Reconstruction of Co-60 Radiotherapy Doses to Patients with Hodgkin s Lymphoma



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Historical Reconstruction of Co-60 Radiotherapy Doses to Patients with Hodgkin s Lymphoma Heather M. Petroccia, MS Advanced Laboratory for Radiation Dosimetry Studies (ALRADS) Medical Physics Program J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida, Gainesville, FL April 10 th, 2015

Background What is Hodgkin s Lymphoma (HL)? Cancer of the lymphocytes Why are we interested in HL? Correlating mean organ dose with late radiation effects Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Benefits of the study Known delivered tumor doses Relatively large field sizes Negatives of the study Radiation therapy as well as chemotherapy were used Genetic predisposition to certain diseases Historically, treatment planning did not include 3D image sets PET/CT with blocking delineated in red

Correlating Dose with Late Radiation Effects Secondary cancers are the leading cause of death in 15 years survivors of HL (Hoppe et al 1997) Goal of creating more accurate risk models University of Florida cohort 55 patients with at least 40 years of potential follow-up 24 second malignancies identified in 19 patients 22 in-field second malignancies in 17 patients 5 year OS: 79.7% (95% CI; 66.9-88.4%) 10 year OS: 64.9% (95% CI; 51.4-76.3%) 20 year OS: 55.5% (95% CI; 42.2-68.1%)

Organs at Risk Mantle Field Thyroid (hypothyroidism, multinodular goiter, thyroid cancer) Heart (coronary artery disesase, valvular insuff./sten., cardiomyopathy) Lungs (lung cancer, pulmonary fibrosis) Breast (invasive carcinoma and DCIS) Peripheral Vasculature (subclavian steal syndrome, carotid dz) Spinal Cord (transverse myelitis) Inverted Y Field Small and large bowel (radiation enteritis, colonic polyps) Gonads (ovarian dysfunction, infertility) Peripheral Vasculature (renal artery stenosis, mesenteric angina)

Previous Dosimetry Methods 1. Calculations in 3-D mathematical computer models using an extensive database of outof-beam doses 2. Measurements in anthropomorphic phantoms constructed of tissue-equivalent material 3. Calculations using 3-D treatment planning M. Stovall, R. Weathers, C. Kasper, S. A. Smith, L. Travis, E. Ron, and R. Kleinerman, Dose Reconstruction for Therapeutic and Diagnostic Radiation Exposures : Use in Epidemiological Studies Dose Reconstruction for Therapeutic and Diagnostic Radiation Exposures : Use in Epidemiological Studies, Radation Res. Soc., vol. 166, no. 1, pp. 141 157, 2006.

Monte Carlo Methods Large differences between doses reported from treatment planning system (TPS) doses and measured values TPS underestimates dose up to 55% at 11.25 cm from the treatment field border (Howell et al 2010) Large differences in mean doses between TPS and Monte Carlo calculations, up to 70% (Joosten et al 2013) Lack of 2D & 3D image sets creates a need for computational phantoms In-field and out-of-field doses can be considered with Monte Carlo methods The UF Family of Reference Hybrid Phantoms for Computational Radiation Dosimetry (Lee et al 2004)

Overview Overview of Anthropomorphic Data Patient # Sex Age Height Weight [lbs] Arm Position 1 F 16 5' 7" 158 up 2 M 16 5' 10" 138.8 down 3 F 12 5' 3" 111.7 down 4 M 14 6 2" 199.6 down 5 F 21 5' 5" 136 up 6 F 20 5' 5" 107 down 7 F 36 5' 6" 187.5 down 8 M 22 6' 2" 172 up 9 F 57 5' 6" 179.3 down 10 F 17 5' 5" 154.7 down Modeled Cobalt-60 teletherapy unit Matched subjects to UF/NCI phantom library Generated Historical information Subjects matched to a mantle field treatment Calculated relative organ doses

Cobalt-60 Teletherapy Unit Source Capsule & Housing Primary Definer Moveable Collimators SSD= 80 cm Trimmer Bars Cerrobend block

Validation for In-Field and Out-of-Field Doses In-field Agrees with British Journal of Radiology Supplement 25 percent depth dose (PDD) data with in ~1% 100 80 60 40 20 Percent Depth Dose BJR Supp. 25 10x10 MCNP 10x10 0 0 5 10 15 20 25 30 Out-of-field Agrees with AAPM Radiation Therapy Committee Task Group No. 36 Fetal dose from Radiotherapy with photon beams within 8.8% Relative Dose % 100 80 60 40 20 100 0 0 5 10 15 20 25 30 80 60 BJR Supp. 25 25x25 MCNP 25x25 BJR Supp. 25 35x35 MCNP 35x35 40 20 0 0 5 10 15 20 25 30 Depth cm

Phantom Patient matching UF/NCI Hybrid Phantom Library LEAST Progression of Refinement MOST Library (LIB) Caliper-Scaled Hybrid (CSH) Photo-Caliper- Scaled Hybrid (PCSH) Variations of phantoms for Subject 10 Patient Specific Voxel (PSV)

Phantom Patient matching Library (LIB) Caliper-Scaled Hybrid (CSH) Subject 4 LEAST Progression of Refinement MOST Library (LIB) Caliper-Scaled Hybrid (CSH) Photo-Caliper- Scaled Hybrid (PCSH) Variations of phantoms for Subject 10 Patient Specific Voxel (PSV)

Phantom Patient matching Caliper-Scaled Hybrid (CSH) Photo-Caliper Scaled Hybrid (PCSH) LEAST Progression of Refinement MOST Library (LIB) Caliper-Scaled Hybrid (CSH) Photo-Caliper- Scaled Hybrid (PCSH) Variations of phantoms for Subject 10 Patient Specific Voxel (PSV)

Phantom Patient matching LEAST Progression of Refinement MOST Library (LIB) Caliper-Scaled Hybrid (CSH) Photo-Caliper- Scaled Hybrid (PCSH) Variations of phantoms for Subject 10 Patient Specific Voxel (PSV)

Mantle Field Recreation Co-60 unit is paired with variations of phantoms for estimating mean organ dose Reconstruction AP/PA fields 80 cm SSD 35 Gy prescribed to midline at suprasternal SSN 3:2 anteriorly weighted Subject 7

Results A. Average Percent Difference for all Organs PSV/LIB 27.9% PSV/CSH 24.8% PSV/PCSH 24.2% 35 30 Organ Doses of Different Types of Phantoms PSV PCSH CSH LIB Average Percent Different for all In-Field Organs B. 25 PSV/LIB 14.3% PSV/CSH 11.6% PSV/PCSH 11.0 % Dose (Gy) 20 15 C. Average Percent Different for all Out-of-Field Organs PSV/LIB 49.1% PSV/CSH 48.9% PSV/PCSH 47.1% 10 5 0 Aortic Arch Breast Esophagus Heart wall Kidney Liver Lung Parotid Small Int. Organs of Interest

Acknowledgements Research Group Dr. Wesley Bolch Dr. Nancy Mendenhall Dr. Zuofeng Li Shannon O Reilly, M.S. External Tom Mitchell, M.S. ALRADS Group UF College of Medicine Adam Holtzman, M.D. John Stahl, M.D.