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Stereotactic Body Radiation Therapy for Spinal Metastases: Tumor Control Probability Analyses and Recommended Reporting Standards.
Soltys, Scott G; Grimm, Jimm; Milano, Michael T; Xue, Jinyu; Sahgal, Arjun; Yorke, Ellen; Yamada, Yoshiya; Ding, George X; Li, X Allen; Lovelock, D Michael; Jackson, Andrew; Ma, Lijun; El Naqa, Issam; Gibbs, Iris C; Marks, Lawrence B; Benedict, Stanley.
Afiliación
  • Soltys SG; Department of Radiation Oncology, Stanford University, Stanford, California. Electronic address: sgsoltys@stanford.edu.
  • Grimm J; Department of Radiation Oncology, Geisinger Health System, Danville, Pennsylvania; Department of Medical Imaging and Radiation Sciences, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Milano MT; Department of Radiation Oncology, University of Rochester, Rochester, New York.
  • Xue J; Department of Radiation Oncology, NYU Langone Medical Center, New York, New York.
  • Sahgal A; Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada.
  • Yorke E; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Yamada Y; Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Ding GX; Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Li XA; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin.
  • Lovelock DM; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Jackson A; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Ma L; Department of Radiation Oncology, University of California, San Francisco, San Francisco, California.
  • El Naqa I; Machine Learning Department, Moffitt Cancer Center, Tampa, Florida.
  • Gibbs IC; Department of Radiation Oncology, Stanford University, Stanford, California.
  • Marks LB; Department of Radiation Oncology, University of North Carolina, Lineberger Cancer Center, Chapel Hill, North Carolina.
  • Benedict S; Department of Radiation Oncology, University of California at Davis, Sacramento, California.
Int J Radiat Oncol Biol Phys ; 110(1): 112-123, 2021 05 01.
Article en En | MEDLINE | ID: mdl-33516580
PURPOSE: We sought to investigate the tumor control probability (TCP) of spinal metastases treated with stereotactic body radiation therapy (SBRT) in 1 to 5 fractions. METHODS AND MATERIALS: PubMed-indexed articles from 1995 to 2018 were eligible for data extraction if they contained SBRT dosimetric details correlated with actuarial 2-year local tumor control rates. Logistic dose-response models of collected data were compared in terms of physical dose and 3-fraction equivalent dose. RESULTS: Data were extracted from 24 articles with 2619 spinal metastases. Physical dose TCP modeling of 2-year local tumor control from the single-fraction data were compared with data from 2 to 5 fractions, resulting in an estimated α/ß = 6 Gy, and this was used to pool data. Acknowledging the uncertainty intrinsic to the data extraction and modeling process, the 90% TCP corresponded to 20 Gy in 1 fraction, 28 Gy in 2 fractions, 33 Gy in 3 fractions, and (with extrapolation) 40 Gy in 5 fractions. The estimated TCP for common fractionation schemes was 82% at 18 Gy, 90% for 20 Gy, and 96% for 24 Gy in a single fraction, 82% for 24 Gy in 2 fractions, and 78% for 27 Gy in 3 fractions. CONCLUSIONS: Spinal SBRT with the most common fractionation schemes yields 2-year estimates of local control of 82% to 96%. Given the heterogeneity in the tumor control estimates extracted from the literature, with variability in reporting of dosimetry data and the definition of and statistical methods of reporting tumor control, care should be taken interpreting the resultant model-based estimates. Depending on the clinical intent, the improved TCP with higher dose regimens should be weighed against the potential risks for greater toxicity. We encourage future reports to provide full dosimetric data correlated with tumor local control to allow future efforts of modeling pooled data.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Columna Vertebral / Radiocirugia Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Radiat Oncol Biol Phys Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Columna Vertebral / Radiocirugia Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Radiat Oncol Biol Phys Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos