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Patterns of utilization and clinical adoption of 0.35 Tesla MR-guided radiation therapy in the United States - Understanding the transition to adaptive, ultra-hypofractionated treatments.
Chuong, Michael D; Clark, Mary Ann; Henke, Lauren E; Kishan, Amar U; Portelance, Lorraine; Parikh, Parag J; Bassetti, Michael F; Nagar, Himanshu; Rosenberg, Stephen A; Mehta, Minesh P; Refaat, Tamer; Rineer, Justin M; Smith, Adam; Seung, Steven; Zaki, Bassem I; Fuss, Martin; Mak, Raymond H.
Afiliação
  • Chuong MD; Miami Cancer Institute, Miami, FL, United States.
  • Clark MA; ViewRay, Inc., Denver, CO, United States.
  • Henke LE; Washington University, School of Medicine, St. Louis, MO, United States.
  • Kishan AU; University of California, Los Angeles Medical Center, Los Angeles, CA, United States.
  • Portelance L; University of Miami, Miami, FL, United States.
  • Parikh PJ; Henry Ford Health System, Grosse Pointe Farms, MI, United States.
  • Bassetti MF; University of Wisconsin, Madison, WI, United States.
  • Nagar H; Weill Cornell Medicine, New York, NY, United States.
  • Rosenberg SA; H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
  • Mehta MP; Miami Cancer Institute, Miami, FL, United States.
  • Refaat T; Loyola University Chicago, Stritch School of Medicine, Department of Radiation Oncology, Cardinal Bernardin Cancer Center, Maywood, IL, United States.
  • Rineer JM; Orlando Health, Orlando, FL, United States.
  • Smith A; McGlinn Cancer Institute at Reading Hospital, Tower Health, Reading, PA, United States.
  • Seung S; Providence Cancer Institute, Portland, OR, United States.
  • Zaki BI; Dartmouth-Hitchcock Norris Cotton Cancer Center, Lebanon, NH, United States.
  • Fuss M; ViewRay, Inc., Denver, CO, United States.
  • Mak RH; Dana Farber/Brigham and Women's Cancer Center, Boston, MA, United States.
Clin Transl Radiat Oncol ; 38: 161-168, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36466748
ABSTRACT
Purpose/

Objective:

Magnetic resonance-guided radiation therapy (MRgRT) utilization is rapidly expanding worldwide, driven by advanced capabilities including continuous intrafraction visualization, automatic triggered beam delivery, and on-table adaptive replanning (oART). Our objective was to describe patterns of 0.35Tesla(T)-MRgRT (MRIdian) utilization in the United States (US) among early adopters of this novel technology. Materials/

Methods:

Anonymized administrative data from all US MRIdian treatment systems were extracted for patients completing treatment from 2014 to 2020. Detailed treatment information was available for all MRIdian linear accelerator (linac) systems and some cobalt systems.

Results:

Seventeen systems at 16 centers delivered 5736 courses and 36,389 fractions (fraction details unavailable for 1223 cobalt courses), of which 21.1% were adapted. Ultra-hypofractionation (UHfx) (1-5 fractions) was used in 70.3% of all courses. At least one adaptive fraction was used for 38.5% of courses (average 1.7 adapted fractions/course), with higher oART use in UHfx dose schedules (47.7% of courses, average 1.9 adapted fractions per course). The most commonly treated organ sites were pancreas (20.7%), liver (16.5%), prostate (12.5%), breast (11.5%), and lung (9.4%). Temporal trends show a compounded annual growth rate (CAGR) of 59.6% in treatment courses delivered, with a dramatic increase in use of UHfx to 84.9% of courses in 2020 and similar increase in use of oART to 51.0% of courses.

Conclusions:

This is the first comprehensive study reporting patterns of utilization among early adopters of MRIdian in the US. Intrafraction MR image-guidance, advanced motion management, and increasing adoption of adaptive radiation therapy has led to a substantial transition to ultra-hypofractionated regimens. 0.35 T-MRgRT has been predominantly used to treat abdominal and pelvic tumors with increasing use of on-table adaptive replanning, which represents a paradigm shift in radiation therapy.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article