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Ding L, Bradford C, Kuo IL, Fan Y, Ulin K, Khalifeh A, Yu S, Liu F, Saleeby J, Bushe H, Smith K, Bianciu C, LaRosa S, Prior F, Saltz J, Sharma A, Smyczynski M, Bishop-Jodoin M, Laurie F, Iandoli M, Moni J, Cicchetti MG, FitzGerald TJ. Radiation Oncology: Future Vision for Quality Assurance and Data Management in Clinical Trials and Translational Science. Front Oncol 2022; 12:931294. [PMID: 36033446 PMCID: PMC9399423 DOI: 10.3389/fonc.2022.931294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
The future of radiation oncology is exceptionally strong as we are increasingly involved in nearly all oncology disease sites due to extraordinary advances in radiation oncology treatment management platforms and improvements in treatment execution. Due to our technology and consistent accuracy, compressed radiation oncology treatment strategies are becoming more commonplace secondary to our ability to successfully treat tumor targets with increased normal tissue avoidance. In many disease sites including the central nervous system, pulmonary parenchyma, liver, and other areas, our service is redefining the standards of care. Targeting of disease has improved due to advances in tumor imaging and application of integrated imaging datasets into sophisticated planning systems which can optimize volume driven plans created by talented personnel. Treatment times have significantly decreased due to volume driven arc therapy and positioning is secured by real time imaging and optical tracking. Normal tissue exclusion has permitted compressed treatment schedules making treatment more convenient for the patient. These changes require additional study to further optimize care. Because data exchange worldwide have evolved through digital platforms and prisms, images and radiation datasets worldwide can be shared/reviewed on a same day basis using established de-identification and anonymization methods. Data storage post-trial completion can co-exist with digital pathomic and radiomic information in a single database coupled with patient specific outcome information and serve to move our translational science forward with nimble query elements and artificial intelligence to ask better questions of the data we collect and collate. This will be important moving forward to validate our process improvements at an enterprise level and support our science. We have to be thorough and complete in our data acquisition processes, however if we remain disciplined in our data management plan, our field can grow further and become more successful generating new standards of care from validated datasets.
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Affiliation(s)
- Linda Ding
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Carla Bradford
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - I-Lin Kuo
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Yankhua Fan
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Kenneth Ulin
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Abdulnasser Khalifeh
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Suhong Yu
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Fenghong Liu
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Jonathan Saleeby
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Harry Bushe
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Koren Smith
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Camelia Bianciu
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Salvatore LaRosa
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Fred Prior
- Department of Biomedical Informatics, University of Arkansas, Little Rock, AR, United States
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States
| | - Ashish Sharma
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Mark Smyczynski
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Maryann Bishop-Jodoin
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Fran Laurie
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Matthew Iandoli
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Janaki Moni
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - M. Giulia Cicchetti
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
| | - Thomas J. FitzGerald
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA, United States
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Verma S, Gosline S, Peltonen S, Peltonen J, Soragni A, Wallace P, Le L, Topilko P, Gutmann D, Anastasaki C, Mattingly R, Serra E, Lee G, Knight P, LaRosa S, Bakker A, Blakeley J. LB1084 Developing uniform datasets for tissue based studies of cutaneous neurofibromas. J Invest Dermatol 2019. [DOI: 10.1016/j.jid.2019.06.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Verma S, Wolkenstein P, Le L, Lee J, Widemann B, Brownell I, Jarnagin K, Lavker R, Legius E, Anderson R, Plotkin S, Weinberg H, Casey D, Ko H, LaRosa S, Knight P, Parides M, Bora N, Morris J, Riccardi V, Korf B, Blakeley J. LB951 Establishing a roadmap for therapeutics development for cutaneous neurofibromas. J Invest Dermatol 2017. [DOI: 10.1016/j.jid.2017.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Mahadevan A, Sampson C, LaRosa S, Floyd SR, Wong ET, Uhlmann EJ, Sengupta S, Kasper EM. Dosimetric analysis of the alopecia preventing effect of hippocampus sparing whole brain radiation therapy. Radiat Oncol 2015; 10:245. [PMID: 26611656 PMCID: PMC4662000 DOI: 10.1186/s13014-015-0555-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Accepted: 11/23/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Whole brain radiation therapy (WBRT) is widely used for the treatment of brain metastases. Cognitive decline and alopecia are recognized adverse effects of WBRT. Recently hippocampus sparing whole brain radiation therapy (HS-WBRT) has been shown to reduce the incidence of memory loss. In this study, we found that multi-field intensity modulated radiation therapy (IMRT), with strict constraints to the brain parenchyma and to the hippocampus, reduces follicular scalp dose and prevents alopecia. METHODS Suitable patients befitting the inclusion criteria of the RTOG 0933 trial received Hippocampus sparing whole brain radiation. On follow up, they were noticed to have full scalp hair preservation. 5 mm thickness of follicle bearing scalp in the radiation field was outlined in the planning CT scans. Conventional opposed lateral WBRT radiation fields were applied to these patient-specific image sets and planned with the same nominal dose of 30 Gy in 10 fractions. The mean and maximum dose to follicle bearing skin and Dose Volume Histogram (DVH) data were analyzed for conventional and HS-WBRT. Paired t-test was used to compare the means. RESULTS All six patients had fully preserved scalp hair and remained clinically cognitively intact 1-3 months after HS-WBRT. Compared to conventional WBRT, in addition to the intended sparing of the Hippocampus, HS-WBRT delivered significantly lower mean dose (22.42 cGy vs. 16.33 cGy, p < 0.0001), V24 (9 cc vs. 44 cc, p < 0.0000) and V30 (9 cc vs. 0.096 cc, p = 0.0106) to follicle hair bearing scalp and prevented alopecia. There were no recurrences in the Hippocampus area. CONCLUSIONS HS-WBRT, with an 11-field set up as described, while attempting to conserve hippocampus radiation and maintain radiation dose to brain inadvertently spares follicle-bearing scalp and prevents alopecia.
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Affiliation(s)
- Anand Mahadevan
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
| | - Carrie Sampson
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
| | - Salvatore LaRosa
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
| | - Scott R Floyd
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
| | - Eric T Wong
- Department of Neuro-Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
| | - Erik J Uhlmann
- Department of Neuro-Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
| | - Soma Sengupta
- Department of Neuro-Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
| | - Ekkehard M Kasper
- Department of Neurosurgery, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
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