Literature DB >> 27058199

Comparative analysis of arteriovenous malformation grading scales in predicting outcomes after stereotactic radiosurgery.

Bruce E Pollock1,2, Curtis B Storlie3, Michael J Link1,4, Scott L Stafford2, Yolanda I Garces2, Robert L Foote2.   

Abstract

OBJECTIVE Successful stereotactic radiosurgery (SRS) for the treatment of arteriovenous malformations (AVMs) results in nidus obliteration without new neurological deficits related to either intracranial hemorrhage (ICH) or radiation-induced complications (RICs). In this study the authors compared 5 AVM grading scales (Spetzler-Martin grading scale, radiosurgery-based AVM score [RBAS], Heidelberg score, Virginia Radiosurgery AVM Scale [VRAS], and proton radiosurgery AVM scale [PRAS]) at predicting outcomes after SRS. METHODS The study group consisted of 381 patients with sporadic AVMs who underwent Gamma Knife SRS between January 1990 and December 2009; none of the patients underwent prior radiation therapy. The primary end point was AVM obliteration without a decline in modified Rankin Scale (mRS) score (excellent outcome). Comparison of the area under the receiver operating characteristic curve (AUC) and accuracy was performed between the AVM grading scales and the best linear regression model (generalized linear model, elastic net [GLMnet]). RESULTS The median radiological follow-up after initial SRS was 77 months; the median clinical follow-up was 93 months. AVM obliteration was documented in 297 patients (78.0%). Obliteration was 59% at 4 years and 85% at 8 years. Fifty-five patients (14.4%) had a decline in mRS score secondary to RICs (n = 29, 7.6%) or ICH (n = 26, 6.8%). The mRS score declined by 10% at 4 years and 15% at 8 years. Overall, 274 patients (71.9%) had excellent outcomes. There was no difference between the AUC for the GLMnet (0.69 [95% CI 0.64-0.75]), RBAS (0.68 [95% CI 0.62-0.74]), or PRAS (0.69 [95% CI 0.62-0.74]). Pairwise comparison for accuracy showed no difference between the GLMnet and the RBAS (p = 0.08) or PRAS (p = 0.16), but it did show a significant difference between the GLMnet and the Spetzler-Martin grading system (p < 0.001), Heidelberg score (p < 0.001), and the VRAS (p < 0.001). The RBAS and the PRAS were more accurate when compared with the Spetzler-Martin grading scale (p = 0.03 and p = 0.01), Heidelberg score (p = 0.02 and p = 0.02), and VRAS (p = 0.03 and p = 0.02). CONCLUSIONS SRS provides AVM obliteration without functional decline in the majority of treated patients. AVM grading scales having continuous scores (RBAS and PRAS) outperformed integer-based grading systems in the prediction of AVM obliteration without mRS score decline after SRS.

Entities:  

Keywords:  AUC = area under the receiver operating characteristic curve; AVM arteriovenous malformation; GLMnet = generalized linear model, elastic net; ICH = intracranial hemorrhage; KPS = Karnofsky Performance Status; RBAS = radiosurgery-based AVM score; RIC = radiation-induced complication; SRS = stereotactic radiosurgery; VRAS = Virginia Radiosurgery AVM Scale; arteriovenous malformation; complication; grading scale; mRS = modified Rankin Scale; stereotactic radiosurgery; vascular disorders

Mesh:

Year:  2016        PMID: 27058199     DOI: 10.3171/2015.11.JNS151300

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  12 in total

Review 1.  Modern radiosurgical and endovascular classification schemes for brain arteriovenous malformations.

Authors:  Ali Tayebi Meybodi; Michael T Lawton
Journal:  Neurosurg Rev       Date:  2018-05-04       Impact factor: 3.042

2.  Results of surgical treatment after Gamma Knife radiosurgery for cerebral arteriovenous malformations: patient series.

Authors:  Atsushi Shimizu; Koji Yamaguchi; Yoshikazu Okada; Takayuki Funatsu; Tatsuya Ishikawa; Motohiro Hayashi; Noriko Tamura; Ayako Horiba; Takakazu Kawamata
Journal:  J Neurosurg Case Lessons       Date:  2021-06-21

3.  Pediatric Intracranial Arteriovenous Malformation: Long-Term Outcomes with Linear Accelerator (LINAC)-Based Radiosurgery.

Authors:  Ethan M Glazener; Kenneth Lodin; Michael J Miller; Matthew J Frager; Javad Rahimian; Joseph C T Chen; Michael R Girvigian
Journal:  Adv Radiat Oncol       Date:  2020-04-13

4.  Long-term outcomes of 170 brain arteriovenous malformations treated by frameless image-guided robotic stereotactic radiosurgery: Ramathibodi hospital experience.

Authors:  Pritsana Punyawai; Nicha Radomsutthikul; Mantana Dhanachai; Chai Kobkitsuksakul; Ake Hansasuta
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

5.  Microsurgical Treatment of Deep and Eloquent AVMs.

Authors:  Phillip Cem Cezayirli; Hatice Türe; Uğur Türe
Journal:  Adv Tech Stand Neurosurg       Date:  2022

6.  Magnetic Resonance Imaging-Based Robotic Radiosurgery of Arteriovenous Malformations.

Authors:  Tobias Greve; Felix Ehret; Theresa Hofmann; Jun Thorsteinsdottir; Franziska Dorn; Viktor Švigelj; Anita Resman-Gašperšič; Joerg-Christian Tonn; Christian Schichor; Alexander Muacevic
Journal:  Front Oncol       Date:  2021-03-09       Impact factor: 6.244

7.  HS3ST2 and Its Related Molecules as Potential Biomarkers for Predicting Lymph Node Metastasis in Patients with Colorectal Cancer.

Authors:  Guangyu Gao; Jiaofeng Shen; Xinya Shi
Journal:  Onco Targets Ther       Date:  2021-06-25       Impact factor: 4.345

8.  Histopathology of brain AVMs part II: inflammation in arteriovenous malformation of the brain.

Authors:  Roosa Wright; Patrik Järvelin; Henri Pekonen; Sara Keränen; Tuomas Rauramaa; Juhana Frösen
Journal:  Acta Neurochir (Wien)       Date:  2020-04-18       Impact factor: 2.216

9.  Stereotactic Radiosurgery for Spetzler-Martin Grade I and II Arteriovenous Malformations: International Society of Stereotactic Radiosurgery (ISRS) Practice Guideline.

Authors:  Christopher S Graffeo; Arjun Sahgal; Antonio De Salles; Laura Fariselli; Marc Levivier; Lijun Ma; Ian Paddick; Jean Marie Regis; Jason Sheehan; John Suh; Shoji Yomo; Bruce E Pollock
Journal:  Neurosurgery       Date:  2020-09-01       Impact factor: 4.654

10.  Identification of the miRNA signature and key genes in colorectal cancer lymph node metastasis.

Authors:  Xi Wang; Guangyu Gao; Zhengrong Chen; Zhihao Chen; Mingxiao Han; Xiaolu Xie; Qiyuan Jin; Hong Du; Zhifei Cao; Haifang Zhang
Journal:  Cancer Cell Int       Date:  2021-07-07       Impact factor: 5.722

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