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Dual-source strength seed loading for eye plaque brachytherapy using eye physics eye plaques: A feasibility study.

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Date
2022-12
Authors
Meltsner, Sheridan G
Kirsch, David G
Materin, Miguel A
Kim, Yongbok
Sheng, Yang
Craciunescu, Oana
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Abstract
<h4>Purpose</h4>This study quantifies the dosimetric impact of incorporating two iodine-125 (125I) seed source strengths in Eye Physics eye plaques for treatment of uveal melanoma.<h4>Material and methods</h4>Plaque Simulator was used to retrospectively plan 15 clinical cases of three types: (1) Shallow tumors (< 5.5 mm) with large base dimensions (range, 16-19 mm); (2) Tumors near the optic nerve planned with notched plaques; and (3) Very shallow (< 3.0 mm) tumors with moderate base dimensions (range, 13.5-15.5 mm) planned with larger plaques than requested by the ocular oncologist. Circular plaques were planned with outer ring sources twice the source strength of inner sources, and notched plaques with the six seeds closest to the notch at twice the source strength.<h4>Results</h4>In cases of type (1), the dual-source strength plan decreased prescription depth, and doses to critical structures were lower: inner sclera -25% ±2%, optic disc -7% ±3%, and fovea -6% ±3%. In four out of five cases of type (2), the dual-source strength plan decreased prescription depth, and dose to inner sclera was lower (-22% ±5%), while dose to optic disc (17% ±7%) and fovea (20% ±12%) increased. In cases of type (3), a smaller dual-source strength plaque was used, and scleral dose was lower (-45% ±3%), whereas dose to optic disc (1% ±14%) and fovea (5% ±5%) increased.<h4>Conclusions</h4>Dual-source strength loading as described in this study can be used to cover tumor margins and decrease dose to sclera, and therefore the adjacent retina, but can either decrease or increase radiation dose to optic disc and fovea depending on location and size of the tumor. This technique may allow the use of a smaller plaque, if requested by the ocular oncologist. Clinical determination to use this technique should be performed on an individual basis, and additional QA steps are required. Integrating the use of volumetric imaging may be warranted.
Type
Journal article
Subject
Eye Physics eye plaques
Plaque Simulator treatment planning system
eye plaque treatment planning
plaque brachytherapy
uveal melanoma
Permalink
https://hdl.handle.net/10161/26672
Published Version (Please cite this version)
10.5114/jcb.2022.123979
Publication Info
Meltsner, Sheridan G; Kirsch, David G; Materin, Miguel A; Kim, Yongbok; Sheng, Yang; & Craciunescu, Oana (2022). Dual-source strength seed loading for eye plaque brachytherapy using eye physics eye plaques: A feasibility study. Journal of contemporary brachytherapy, 14(6). pp. 590-600. 10.5114/jcb.2022.123979. Retrieved from https://hdl.handle.net/10161/26672.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Craciunescu

Oana Craciunescu

Professor of Radiation Oncology
Kim

Yongbok Kim

Professor of Radiation Oncology
Kirsch

David Guy Kirsch

Barbara Levine University Distinguished Professor
My clinical interests are the multi-modality care of patients with bone and soft tissue sarcomas and developing new sarcoma therapies. My laboratory interests include utilizing mouse models of cancer to study cancer and radiation biology in order to develop new cancer therapies in the pre-clinical setting.
Materin

Miguel Angel Materin

Professor of Ophthalmology
Ocular oncologist Miguel Materin, MD joined Duke Eye Center as Professor of Ophthalmology and Director of Ophthalmic Oncology in September 2016. He joins Duke from Yale University School of Medicine where he was an Associate Professor of Ophthalmology & Visual Science. Prior to his appointment at Yale, he was at Wills Eye Hospital at Thomas Jefferson University in Philadelphia, where he served as Director of Diagnostic Studies for the Ocular Oncology Service. Dr. Materin&rsquo
Meltsner

Sheridan Griffin Meltsner

Assistant Professor of Radiation Oncology
Sheng

Yang Sheng

Assistant Professor of Radiation Oncology
My research interest focuses on machine learning and AI application in radiation oncology treatment planning, including prostate cancer, head-and-neck cancer and pancreatic cancer etc.
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