Literature DB >> 21489717

Recursive partitioning analysis index is predictive for overall survival in patients undergoing spine stereotactic body radiation therapy for spinal metastases.

Samuel T Chao1, Shlomo A Koyfman, Neil Woody, Lilyana Angelov, Sherry L Soeder, Chandana A Reddy, Lisa A Rybicki, Toufik Djemil, John H Suh.   

Abstract

PURPOSE: To generate a prognostic index using recursive partitioning analysis (RPA) for patients undergoing spine stereotactic body radiation therapy (sSBRT) for spinal metastases (sMet). METHODS & MATERIALS: From an institutional review board-approved database, 174 patients were treated for sMet with sSBRT between February 2006 and August 2009. Median dose was 14 Gy (range, 8-24 Gy), typically in a single fraction (range, 1-5). Kaplan-Meier analysis was performed to detect any correlation between survival and histology. Histologies were divided into favorable (breast and prostate), radioresistant (renal cell, melanoma and sarcoma), and other (all other histologies). RPA was performed to identify any association of the following variables with overall survival (OS) following sSBRT: histology, gender, age, Karnofsky performance status (KPS), control of primary, extraosseous metastases, time from primary diagnosis (TPD), dose of sSBRT (≤14 Gy vs. >14 Gy), extent of spine disease (epidural only, bone and epidural, bone only), upfront or salvage treatment, presence of paraspinal extension, and previous surgery.
RESULTS: Median follow-up was 8.9 months. Median OS time from sSBRT was 10.7 months. Median OS intervals for favorable histologies were 14 months, 11.2 months for radioresistant histologies, and 7.3 months for other histologies (p = 0.02). RPA analysis resulted in three classes (p < 0.0001). Class 1 was defined as TPD of >30 months and KPS of >70; Class 2 was TPD of >30 months and KPS of ≤70 or a TPD of ≤30 months and age <70 years old; Class 3 was TPD of ≤30 months and age ≥70 years old. Median OS was 21.1 months for Class 1 (n = 59), 8.7 months for Class 2 (n = 104), and 2.4 months for Class 3 (n = 11).
CONCLUSION: sSBRT patients treated for sMet have a wide variability in OS. We developed an RPA classification system that is predictive of OS. While many patients are treated for palliation of pain or to avoid symptomatic progression, this index may be used to predict which patients may benefit most from sSBRT. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21489717     DOI: 10.1016/j.ijrobp.2011.02.019

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  29 in total

1.  A systematic review of prognostic factors predicting survival in patients with spinal bone metastases.

Authors:  L Bollen; W C H Jacobs; Y M Van der Linden; O Van der Hel; W Taal; P D S Dijkstra
Journal:  Eur Spine J       Date:  2017-10-24       Impact factor: 3.134

2.  Recursive partitioning analysis is predictive of overall survival for patients undergoing spine stereotactic radiosurgery.

Authors:  Ehsan H Balagamwala; Jacob A Miller; Chandana A Reddy; Lilyana Angelov; John H Suh; Muhammad B Tariq; Erin S Murphy; Kailin Yang; Toufik Djemil; Anthony Magnelli; Alireza M Mohammadi; Sherry Soeder; Samuel T Chao
Journal:  J Neurooncol       Date:  2018-01-03       Impact factor: 4.130

Review 3.  Spinal metastases: From conventional fractionated radiotherapy to single-dose SBRT.

Authors:  Carlo Greco; Oriol Pares; Nuno Pimentel; Elizabeth Moser; Vasco Louro; Xavier Morales; Barbara Salas; Zvi Fuks
Journal:  Rep Pract Oncol Radiother       Date:  2015-04-18

4.  Long-term safety and efficacy of fractionated stereotactic body radiation therapy for spinal metastases.

Authors:  Frederick Mantel; Stefan Glatz; André Toussaint; Michael Flentje; Matthias Guckenberger
Journal:  Strahlenther Onkol       Date:  2014-06-27       Impact factor: 3.621

5.  Stereotactic body radiotherapy for metastatic spinal sarcoma: a detailed patterns-of-failure study.

Authors:  Jonathan E Leeman; Mark Bilsky; Ilya Laufer; Michael R Folkert; Neil K Taunk; Joseph R Osborne; Julio Arevalo-Perez; Joan Zatcky; Kaled M Alektiar; Yoshiya Yamada; Daniel E Spratt
Journal:  J Neurosurg Spine       Date:  2016-03-04

Review 6.  Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder.

Authors:  R C Kessler; H M van Loo; K J Wardenaar; R M Bossarte; L A Brenner; D D Ebert; P de Jonge; A A Nierenberg; A J Rosellini; N A Sampson; R A Schoevers; M A Wilcox; A M Zaslavsky
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-26       Impact factor: 6.892

7.  Internal validation of the prognostic index for spine metastasis (PRISM) for stratifying survival in patients treated with spinal stereotactic radiosurgery.

Authors:  Garrett Jensen; Chad Tang; Kenneth R Hess; Andrew J Bishop; Hubert Y Pan; Jing Li; James N Yang; Nizar M Tannir; Behrang Amini; Claudio Tatsui; Laurence Rhines; Paul D Brown; Amol J Ghia
Journal:  J Radiosurg SBRT       Date:  2017

8.  Dosimetric evaluation of target coverage as a predictor of local failure following stereotactic body radiation therapy for spinal tumors.

Authors:  Maha Saada Jawad; Jun Zhou; Joe G Harb; J Ben Wilkinson; Shannon K Prausa; Jennifer Wloch; Daniel J Krauss; Daniel Fahim; Di Yan; Inga S Grills
Journal:  J Radiosurg SBRT       Date:  2015

9.  The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity.

Authors:  K J Wardenaar; H M van Loo; T Cai; M Fava; M J Gruber; J Li; P de Jonge; A A Nierenberg; M V Petukhova; S Rose; N A Sampson; R A Schoevers; M A Wilcox; J Alonso; E J Bromet; B Bunting; S E Florescu; A Fukao; O Gureje; C Hu; Y Q Huang; A N Karam; D Levinson; M E Medina Mora; J Posada-Villa; K M Scott; N I Taib; M C Viana; M Xavier; Z Zarkov; R C Kessler
Journal:  Psychol Med       Date:  2014-07-17       Impact factor: 7.723

10.  Major depressive disorder subtypes to predict long-term course.

Authors:  Hanna M van Loo; Tianxi Cai; Michael J Gruber; Junlong Li; Peter de Jonge; Maria Petukhova; Sherri Rose; Nancy A Sampson; Robert A Schoevers; Klaas J Wardenaar; Marsha A Wilcox; Ali Obaid Al-Hamzawi; Laura Helena Andrade; Evelyn J Bromet; Brendan Bunting; John Fayyad; Silvia E Florescu; Oye Gureje; Chiyi Hu; Yueqin Huang; Daphna Levinson; Maria Elena Medina-Mora; Yoshibumi Nakane; Jose Posada-Villa; Kate M Scott; Miguel Xavier; Zahari Zarkov; Ronald C Kessler
Journal:  Depress Anxiety       Date:  2014-01-14       Impact factor: 6.505

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