Literature DB >> 29733392

The Application of the Novel Grading Scale (Lawton-Young Grading System) to Predict the Outcome of Brain Arteriovenous Malformation.

Ahmad Hafez1, Päivi Koroknay-Pál1, Elias Oulasvirta1, Ahmed Abou Elseoud2, Michael T Lawton3, Mika Niemelä1, Aki Laakso1.   

Abstract

BACKGROUND: A supplementary grading scale (Supplemented Spetzler-Martin grade, Supp-SM) was introduced in 2010 as a refinement of the SM system to improve preoperative risk prediction of brain arteriovenous malformations (AVMs).
OBJECTIVE: To determine the ability to predict surgical outcomes using the Supp-SM grading scale.
METHODS: This retrospective study was conducted on 200 patients admitted to the Helsinki University Hospital between 2000 and 2014. The validity of the Supp-SM and SM grading systems was compared using the area under the receiver operating characteristic (AUROC) curves, with respect to the change between preoperative and early (3-4 mo) as well as final postoperative modified Rankin Scale (mRS) scores.
RESULTS: The performance of the Supp-SM was superior to that of the SM grading scale in the early follow-up (3-4 mo): AUROC = 0.57 (95% confidence interval [CI]: 0.49-0.65) for SM and AUROC = 0.67 (95% CI: 0.60-0.75) for Supp-SM. The Supp-SM performance continued improving over SM at the late follow-up: AUROC = 0.63 (95% CI: 0.55-0.71) for SM and AUROC = 0.70 (95% CI: 0.62-0.77) for Supp-SM. The perforating artery supply, which is not part of either grading system, plays an important role in the early follow-up outcome (P = .008; odds ratio: 2.95; 95% CI: 1.32-6.55) and in the late follow-up outcome (P < .001; odds ratio: 5.89; 95% CI: 2.49-13.91).
CONCLUSION: The Supp-SM grading system improves the outcome prediction accuracy and is a feasible alternative to the SMS, even for series with higher proportion of high-grade AVMs. However, perforators play important role on the outcome.

Entities:  

Mesh:

Year:  2019        PMID: 29733392      PMCID: PMC6331307          DOI: 10.1093/neuros/nyy153

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


area under the receiver operating characteristic arteriovenous malformation confidence interval modified Rankin Scale odds ratio receiver operative characteristic Spetzler-Martin Spetzler-Martin grading scale Supplemented Spetzler-Martin grade The Spetzler-Martin grading scale (SMS) has long been used to predict the surgical outcomes of patients with brain arteriovenous malformations (AVMs).[1] SMS categorizes AVMs into 5 grades based on size (small: 0-3 cm; medium: 3-6 cm; large: over 6 cm), existence of deep venous drainage, and eloquence of location. While SMS is certainly useful in predicting surgical outcomes, it has its limitations and does not consider many factors that potentially influence outcome. In 2010, Lawton and colleagues[2] proposed a new grading scale to improve patient selection and to more accurately predict surgical risk. The Supplemented Spetzler-Martin grade (Supp-SM) adds patient age, history of hemorrhage, and nidus type in addition to the classical SMS factors. Since the Supp-SM’s introduction in 2010, few studies have compared the performance of SMS and Supp-SM in predicting surgical outcomes.[3,4] We analyzed surgically treated patients with brain AVMs to compare the predictive value of Supp-SM to SMS alone. To evaluate the predicting power of the new grading scale, we compared their individual performance; each grading scale was individually added to a clinical prognostic model, based on the modified Rankin Scale (mRS). We hypothesized that the Supp-SM performance would be higher than that of the SMS alone in predicting the surgical outcomes of brain AVM.

METHODS

Participants

We performed an open-cohort retrospective study including consecutive, surgically treated patients with AVM who were admitted to our neurosurgical department at Helsinki University Hopsital (with a catchment area population of approximately 2 million, for whom our center is the sole neurosurgical service provider) between January 2000 and December 2014. An AVM diagnosis was based on angiography and histology. Patients with spinal AVMs, dural arteriovenous fistulae, and vein of Galen aneurysms were not included in the study. The study sample consisted of patients with AVMs treated with neurosurgical resection, of which 200 had complete demographic, radiological, and clinical data. The Helsinki University Hopsital ethical committee approved the study. Informed consent was obtained from all individual participants included in the study.

Study Variables

Data were collected from 200 AVM patients who underwent microsurgical AVM resection to compare the predictive power of the SMS score and the Supp-SM score. Variables included the SMS components (AVM size, venous draining pattern, and eloquence) and the Supp-SM components (age at resection, hemorrhage before resection, and diffuseness of the AVM nidus).[3] For outcome, preoperative mRS, 3- to 4-mo mRS, and late mRS in 2016 were used.

Statistical Analysis

The statistical analysis was performed using Statistical Package for the Social Sciences software, version 24 (SPSS, IBM Inc, Armonk, New York), except for comparison of &&ROC curves, which was performed using MedCalc software, version 18 (MedCalc Software, Ostend, Belgium). We used chi-square to assess differences between cohorts for categorical characteristics in univariate analyses, and logistic regression for multivariate analysis of factors affecting postoperative mRS. ROC curves were compared using the Hanley & McNeil method.[5] A probability value <.05 was considered statistically significant. Difference in mRS scores before and after surgery was considered as an index for the outcome. Favorable outcome was considered when mRS remained unchanged or improved. By comparing the area under the receiver operative characteristic (ROC) curves when using SMS and Supp-SM scores in relation to the difference between mRS pre- and postoperatively, we evaluated the power of prediction for both scales. For the area under ROC, 0.5 is considered indifferent, while 1 indicates full discrimination. SMS and Supp-SM coefficients were calculated for the 3- to 4-mo follow-up (early outcome) and for the final follow-up (2016, last outcome). To derive a more accurate estimate for the model, we performed 10-fold cross-validation measures of fit and estimated the area under the ROC curve using data from the 10 validation sets.

RESULTS

Overall, 200 patients were included in this study. Patient demographics and AVM characteristics are summarized in Table 1. Of all patients, 38% had embolization and 3% had radiosurgery before microsurgical resection. Favorable outcomes after surgery were observed in 138 of the 200 patients (69% mRS scores 0-2). Unchanged or improved mRS scores were observed in 133 patients (67%). At the first (3-4 mo) follow-up, 7 patients (3%) had died, whereas at the final follow-up (2016) 23 (11%) had died, 16 from AVM-related causes. Nine of the patients who died had preoperative mRS scores of 5. Older patients, patients with unruptured AVMs, and patients with diffuse AVM nidi showed a higher tendency for unfavorable outcomes. However, deep perforating artery supply showed a significant relationship with unfavorable outcome (P < .001). There was no difference in the proportion of patients with large AVMs (P = .470).
TABLE 1.

Patient Demographics, AVM Characteristics, and Outcomes.

No.% P Value*
Age, yr.000
 <203317%
 20-406432%
 >4010351%
AVM size (cm).470
 <310854%
 3-67839%
 >6147%
Eloquence12763%.000
Deep venous draining8442%.056
Diffuse nidus3316%.003
Hemorrhagic presentation12563%.060
Perforating artery supply[a]4422%.000
Spetzler-Martin grade.008
 14723%
 25528%
 34221%
 44623%
 5105%
Supplemented Spetzler-Martin grade.000
 232%
 32211%
 43317%
 55427%
 63518%
 72714%
 8157%
 9105%
 1011%
Preop mRS
 02111%mRS[b] (0, 1, 2) before surgery (69%)
 18040%
 23618%
 32814%
 421%
 53316%
4-mo mRS
 042%Absolute favorable outcome (58%)
 18141%
 23115%
 34322%
 4147%
 5189%
 6 (dead)73%
 missing21%
Last follow-up mRS
 04221%Absolute favorable outcome (69%)
 15226%
 24422%
 3179%
 4189%
 542%
 6 (dead)2311%
Interval (surgery to last follow-up) years6.02 ± 4.95

*P correlation with last mRS (2016). P-values are derived from a Chi-square test or ANOVA.

aPerforating arteries include the medial lenticulostriates from the M1 middle cerebral artery (MCA), the insular perforators from the M2 (MCA), thalamoperforators from posterior communicating artery and the P1 posterior cerebral artery, and brain stem perforator.

bmRS, modified Rankin Scale.

Patient Demographics, AVM Characteristics, and Outcomes. *P correlation with last mRS (2016). P-values are derived from a Chi-square test or ANOVA. aPerforating arteries include the medial lenticulostriates from the M1 middle cerebral artery (MCA), the insular perforators from the M2 (MCA), thalamoperforators from posterior communicating artery and the P1 posterior cerebral artery, and brain stem perforator. bmRS, modified Rankin Scale. Detailed distribution of the patient characteristics and the AVM-related factors were connected to the outcomes (Table 2). Neurological outcomes were arranged by SM and Supp-SM grades. Unfavorable outcome level increases with higher grades in both SM and Supp-SM grading systems, particularly at the long-term outcome. However, the high percentage (28%) of SM grades IV and V in our series (Table 1) led to an average correlation between the grades and the outcomes.
TABLE 2.

Detailed Distribution of Factors and Neurological Outcomes Associated With Spetzler-Martin Grades and Supplemented Spetzler-Martin Grades.

Neurological outcomes (200 patients)
Outcome (4-mo follow-up)[a]Outcome (last follow-up)
FavorableUnfavorableFavorableUnfavorable
n (116)58%n (82)41%n (133)67%n (67)33%
Sex
 Female5662%3438%6470%2830%
 Male5753%5147%6964%3936%
Age group
 0-202370%1030%2782%618%
 20-403962%2438%4773%1727%
 >405150%5150%5957%4443%
AVM size (cm)
 <36561%4239%7771%3129%
 3-64254%3646%4963%2937%
 >6646%754%750%750%
Eloquence location
 Non-E4866%2534%6082%1318%
 E6552%6048%7358%5442%
Nidus
 Compact9859%6841%11871%4929%
 Diffuse1547%1753%1545%1855%
Perforating artery supply
 No9259%6341%11272%4428%
 Yes2149%2251%2148%2352%
Deep venous draining
 No6960%4640%8372%3328%
 Yes4453%3947%5060%3440%
Rupture
 Yes9073%3327%8669%3931%
 No2331%5269%4763%2837%
Embolization before surgery
 No7359%5141%8669%3831%
 Yes4054%3446%4762%2938%
Spetzler-Martin grade
 I3166%1634%4085%715%
 II3157%2343%3767%1833%
 III2560%1740%2560%1740%
 IV2248%2452%2554%2146%
 V444%556%660%440%
Supplemented Spetzler-Martin grade
 23100%00%3100%00%
 31777%523%1986%314%
 42473%927%2988%412%
 53159%2241%3769%1731%
 62057%1543%2160%1440%
 71037%1763%1348%1452%
 8536%964%427%1173%
 9220%880%660%440%
 101100%00%1100%00%

aTwo missing cases from early follow-up.

Detailed Distribution of Factors and Neurological Outcomes Associated With Spetzler-Martin Grades and Supplemented Spetzler-Martin Grades. aTwo missing cases from early follow-up. Univariate analysis identified age (P < .001), perforating artery supply (P = .030), and associated aneurysm (.046) as significant predictors for unfavorable mRS at the early outcome (3-4 mo follow-up). Eloquence of location was borderline significant (P = .063). For late outcome, univariate analysis identified age (mean > 40; P = .001), eloquence (P = .006), diffuse nidus (P = .001), perforator supply (P < .001), deep venous drainage (P = .014), and nonhemorrhage presentation (P = .049) as significant predictors for unfavorable outcome (Table 3).
TABLE 3.

Univariate Analysis of Variables Associated With Worse 2- to 4-mo mRS (Early Outcome) and Last mRS Follow-up 2016 (Last Outcome).

FactorAssociated with worse (early outcome), P value*Associated with worse (late outcome), P value*
Age (yr).000.001
AVM size in mm.931.447
Eloquence location.063.006
Nidus diffuseness.496.001
Perforating artery supply.030.000
Deep vein draining.178.014
Nonhemorrhagic.365.049
Embolization.320.164
Associated aneurysm.046.558

*P values are derived from a Chi-square test.

Univariate Analysis of Variables Associated With Worse 2- to 4-mo mRS (Early Outcome) and Last mRS Follow-up 2016 (Last Outcome). *P values are derived from a Chi-square test. To identify independent predictors of dichotomized outcomes (favorable vs unfavorable), defined as improvement or no change vs worsening in mRS scores between mRS before surgery and early mRS (<4 mo), as well as mRS before surgery and late mRS outcome, a binary logistic regression model was constructed using the Wald method (first entering variables into the model and then using stepwise backward elimination). For early unfavorable outcome, the significant factors were age >40 (P < .001; odds ratio [OR] = 5.9) and perforator supply (P = .008; OR = 2.9; Table 4). For unfavorable late outcome, the significant factors were age >40 (P = .002; OR = 3.2), AVM size >30 mm (P = .047; OR = 0.4), diffuseness of the nidus (P = .001; OR = 5.7), deep perforator supply (P < .001; OR = 5.9), and nonhemorrhagic presentation (P = .045; OR = 0.4; Table 5).
TABLE 4.

Factors Significantly Associated With Worse Early Outcome in Multiple Logistic Regression Model (Wald Stepwise Backward Model).

Factor P valueOR95% CI
Age > 40 yr.0005.993.06-11.75
Perforating arterial supply.0082.951.32-6.55

OR = odds ratio, CI = confidence interval.

TABLE 5.

Factors Significantly Associated With Worse Late Outcome in Multiple Logistic Regression Model (Wald Stepwise Backward Model).

Factor P valueOR95% CI
Age > 40 yr.0023.251.54-6.86
Size > 30 mm.0470.410.17-0.99
Nidus diffuseness.0015.741.98-16.66
Perforating arterial supply.0005.892.49-13.91
Nonhemorrhagic.0450.440.20-0.98

OR = odds ratio, CI = confidence interval.

Factors Significantly Associated With Worse Early Outcome in Multiple Logistic Regression Model (Wald Stepwise Backward Model). OR = odds ratio, CI = confidence interval. Factors Significantly Associated With Worse Late Outcome in Multiple Logistic Regression Model (Wald Stepwise Backward Model). OR = odds ratio, CI = confidence interval. The area under the ROC curve, indicating the predictive accuracy of the SMS and Supp-SM models for early outcome, was higher for the Supp-SM compared to SMS (0.67 and 0.57, respectively, P < .0001). For late outcome, the area under the ROC curve was also higher for the Supp-SM compared to SMS (0.70 and 0.63, respectively, P = .0072; Figure).
FIGURE.

A, mRS change at 4-mo follow-up. B, mRS change at final follow-up. Graph A shows ROC analyses for the weighted point scores using the supplementary SM grading system (red curve) and the SM grading system (blue curve), with the reference line in black. The supplementary grade achieves a better point score (ROC area: 0.67) compared to the SM point score (ROC area: 0.57), P < .0001. Graph B shows improved prediction in both grading systems; however, the supplementary SM grading system produced a better prediction score (ROC areas: 0.63 and 0.70, respectively, P = .0072).

A, mRS change at 4-mo follow-up. B, mRS change at final follow-up. Graph A shows ROC analyses for the weighted point scores using the supplementary SM grading system (red curve) and the SM grading system (blue curve), with the reference line in black. The supplementary grade achieves a better point score (ROC area: 0.67) compared to the SM point score (ROC area: 0.57), P < .0001. Graph B shows improved prediction in both grading systems; however, the supplementary SM grading system produced a better prediction score (ROC areas: 0.63 and 0.70, respectively, P = .0072).

DISCUSSION

In this study, we provide further evidence for the predictive power of the Supp-SM. After the introduction of the Supp-SM in 2010,[2] few published articles have shown its superiority over classical SMS.[3,4,6] To minimize the risk of surgical resection, we need to study preoperative relative factors. With the wide spectrum of AVM pathology, individual context, the team's surgical ability and technical support, and finally and most importantly, patient selection for surgery is the key for a good outcome. Previous AVM grading systems are familiar to neurosurgeons, and these systems helped in predicting the surgical risk and in developing the management decision process. The SM grading system is the most known, practical system, and it has the following variables: size of the AVM (<3, 3-6, and >6 cm), venous draining (deep or superficial), and whether there is eloquence of location. We receive 5 different grades from that collection of variables. Recently, the SM grade system has been modified and renamed the Spetzler-Ponce grading system,[7] which is simplified as three difference classes. Class A includes SM grades I and II, class B includes SM grade III, and class C includes SM grades IV and V. This classification is aimed at improving the treatment decision process. Surgery is recommended for grades I and II, and no treatment is recommended for grades IV and V. However, there is a high degree of ambiguity in class B management recommendation,[8-11] and multimodal treatment is often recommended for cases deemed eligible for treatment. Multimodality could mean embolization and surgery, surgery and radiosurgery, embolization and radiosurgery, or even a combination of all 3 modalities. To enhance the grading system for AVM treatment, the Toronto group's grading system added a new factor.[12] This factor is the compactness of the AVM nidus. This system has replaced the size of the AVM with the nidus type. Deep venous drainage scores 2 points, the diffuseness of the nidus scores 3 points, and the eloquent location scores 4 points. The system did not achieve the popularity of the SM system. However, the diffuseness concept proved to be an important factor from a surgical point of view and significantly impacts the outcome. Hemorrhagic presentation of the AVM is an important predictor risk for the natural history.[13-15] The highest risk of bleeding is in those who had previously bled.[16] However, hemorrhage widens the dead space around the AVM and facilitates surgical resection, particularly in low-grade AVM.[17,18] At the same time, patients with unruptured AVMs typically do not have pretreatment neurological deficits, and are therefore more susceptible to develop new deficits after surgery, compared to patient with ruptured lesions presenting already with neurological deficits due to hemorrhagic stroke. Lawton et al[2] put together 3 new factors: age, bleeding, and compactness.[2] The new system has an analogous property with the SM system. Age has 3 groups: less than 20 achieves 1 point, between 20 and 40 achieves 2 points, and over 40 yr achieve 3 points. There is 1 point for unruptured presentation, and 1 point for diffuseness of the nidus. The Supp-SM grading system has 9 different grades (2-10). In this system, grade 6 is considered the cutoff point for acceptable surgical risk.[3] The new system has the flexibility of changing over time. Age and bleeding status are changeable factors. Furthermore, nidus shape and AVM size could be changed by radiotherapy and embolization. For that reason, Supp-SM proved to be a dynamic scale system and may be modified by other treatment modalities, particularly endovascular treatment. Within SM grade III, there are different subtypes with varying mortality and morbidity, depending on the AVM subtype. Therefore, Lawton et al[2] have subdivided it to grade III+, grade III, grade III–, and grade III*, which is a rare case of large AVM with a superficial draining vein and a noneloquent location, like the right frontal pole. Eloquent location advances grade III to III+, which was also proven in our experience. Age, which scores 1 to 3 in the supplementary scale, has a certain propriety.[19-21] High-risk AVM features (aneurysm association and venous abnormalities) are found more often in adults. Furthermore, children are more likely to a hemorrhage.[15] Therefore, young age, which has a lower scoring by itself, is often combined with hemorrhagic presentation, which has a null score in the supplementary scale, further explaining the better outcome in young cohorts. Deep perforator arterial supply proved to have a significant influence on the outcome in our study but not in the Lawton et al study.[2] The increased risk caused by deep perforators is quite easy to understand. While resecting the AVM, these fragile small vessels are notoriously difficult to coagulate, and often retract deeper into white matter—containing potentially eloquent long fiber tracts. The deep perforating supply is also more common in large, complex AVMs which by themselves are associated with higher risk of surgery. One possible explanation for this factor being significant in our series is that we have a higher percentage of SM grades IV and V in this study (28%), whereas in Lawton et al,[2] it was 11%. This means that we have more cases with large and deeply drained AVMs, which hold a higher possibility of having perforators as supply feeders. The rather high portion of SM grades IV and V reflects both the population responsibility of our center (all AVM patients within the catchment area are treated by us) and the treatment policies of the study period—today, we prefer a more conservative approach for grades IV and V AVMs, particularly in cases of unruptured lesions.

Study Limitations

Our strategy with the results of this study could empower the validation of the Supp-SM grading scale, as we included a reasonable number of all grades, and the new scale achieves the same result shown by the scale's inventors. Judging the diffuseness of the nidus is still somewhat subjective. However, advanced radiological technologies allowed discriminating the many subtypes of diffuse nidus. There are many other factors that could play important roles in the surgical outcome, such as associated aneurysm, time elapsed before surgery for ruptured cases, and perforators. Eleven of the cases with rupture before surgery had received some other treatment modality (embolization in 10 cases, stereotactic radiosurgery in 1 case) than microsurgery for their originally unruptured AVM. Since the surgery was performed after the rupture, these cases were classified as being ruptured for the purpose of Supp-SM grading, even though they might have somewhat different properties than AVM cases experiencing rupture without any prior treatment. However, this should not affect the comparison of these 2 scales. Moreover, since multimodal treatment is so common nowadays, we believe that including also these cases to our series for completeness adds certain “real-life” value.

CONCLUSION

The new grading system helps in understanding and predicting surgical outcomes. Selection according to the available optimal scale is the key for success in AVM surgery, and most importantly, the Supp-SM grading scale helps decide when not to operate. Other scales could be invented in the future that include extra factors such deep perforators, according to the development of treatment modalities and available knowledge. With a challenging pathology like AVM, the surgeon's judgment and skill are critical.

Disclosures

Finnish government provided financial support (Finnish government grant for academic health research #TYH2017235). First author (A.H.) was awarded a scholarship for his PhD program from C. Ehmrooth Fellowship (Fondation de Luxembourg). The sponsors had no role in the design or conduct of this research. The authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.
  22 in total

1.  Spetzler-Martin Grade III arteriovenous malformations: surgical results and a modification of the grading scale.

Authors:  Michael T Lawton
Journal:  Neurosurgery       Date:  2003-04       Impact factor: 4.654

2.  Natural history of arteriovenous malformations: presentation, risk of hemorrhage and mortality.

Authors:  Aki Laakso; Reza Dashti; Seppo Juvela; Mika Niemelä; Juha Hernesniemi
Journal:  Acta Neurochir Suppl       Date:  2010

3.  The AVICH Score: A Novel Grading System to Predict Clinical Outcome in Arteriovenous Malformation-Related Intracerebral Hemorrhage.

Authors:  Marian C Neidert; Michael T Lawton; Marius Mader; Burkhardt Seifert; Antonios Valavanis; Luca Regli; Oliver Bozinov; Jan-Karl Burkhardt
Journal:  World Neurosurg       Date:  2016-05-02       Impact factor: 2.104

Review 4.  Critical review of brain AVM surgery, surgical results and natural history in 2017.

Authors:  Michael Kerin Morgan; Andrew Stewart Davidson; Nazih N A Assaad; Marcus Andrew Stoodley
Journal:  Acta Neurochir (Wien)       Date:  2017-05-29       Impact factor: 2.216

5.  Superior outcomes in children compared with adults after microsurgical resection of brain arteriovenous malformations.

Authors:  René O Sanchez-Mejia; Sravana K Chennupati; Nalin Gupta; Heather Fullerton; William L Young; Michael T Lawton
Journal:  J Neurosurg       Date:  2006-08       Impact factor: 5.115

6.  A discriminative prediction model of neurological outcome for patients undergoing surgery of brain arteriovenous malformations.

Authors:  Julian Spears; Karel G Terbrugge; Mona Moosavian; Walter Montanera; Robert A Willinsky; M Christopher Wallace; Michael Tymianski
Journal:  Stroke       Date:  2006-05-11       Impact factor: 7.914

7.  Multimodality management of Spetzler-Martin Grade III arteriovenous malformations.

Authors:  Paritosh Pandey; Michael P Marks; Ciara D Harraher; Erick M Westbroek; Steven D Chang; Huy M Do; Richard P Levy; Robert L Dodd; Gary K Steinberg
Journal:  J Neurosurg       Date:  2012-04-06       Impact factor: 5.115

8.  Acute surgical removal of low-grade (Spetzler-Martin I-II) bleeding arteriovenous malformations.

Authors:  Giacomo Pavesi; Oriela Rustemi; Silvia Berlucchi; Anna Chiara Frigo; Valerio Gerunda; Renato Scienza
Journal:  Surg Neurol       Date:  2009-07-14

9.  Predictive Capability of the Spetzler-Martin versus Supplementary Grading Scale for Microsurgical Outcomes of Cerebellar Arteriovenous Malformations.

Authors:  Dale Ding; Kenneth C Liu
Journal:  J Cerebrovasc Endovasc Neurosurg       Date:  2013-12-31

10.  Influence of patient age on angioarchitecture of brain arteriovenous malformations.

Authors:  S W Hetts; D L Cooke; J Nelson; N Gupta; H Fullerton; M R Amans; J A Narvid; P Moftakhar; H McSwain; C F Dowd; R T Higashida; V V Halbach; M T Lawton; H Kim
Journal:  AJNR Am J Neuroradiol       Date:  2014-03-13       Impact factor: 3.825

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Review 1.  Segmentation techniques of brain arteriovenous malformations for 3D visualization: a systematic review.

Authors:  Elisa Colombo; Tim Fick; Giuseppe Esposito; Menno Germans; Luca Regli; Tristan van Doormaal
Journal:  Radiol Med       Date:  2022-10-18       Impact factor: 6.313

2.  Microsurgical Treatment of Deep and Eloquent AVMs.

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

3.  [Usefulness of Gradation Scales in the Surgical Treatment of Cerebral Arteriovenous Malformations].

Authors:  Federico Gallardo; Clara Martin; Leonardo Chang; Juan Francisco Diaz; Jorge Bustamante; Pablo Rubino
Journal:  Surg Neurol Int       Date:  2019-09-27

4.  Comparison of Endovascular Embolization Plus Simultaneous Microsurgical Resection vs. Primary Microsurgical Resection for High-Grade Brain Arteriovenous Malformations.

Authors:  Mingze Wang; Fa Lin; Hancheng Qiu; Yong Cao; Shuo Wang; Jizong Zhao
Journal:  Front Neurol       Date:  2021-12-24       Impact factor: 4.003

Review 5.  Chinese Cerebrovascular Neurosurgery Society and Chinese Interventional & Hybrid Operation Society, of Chinese Stroke Association Clinical Practice Guidelines for Management of Brain Arteriovenous Malformations in Eloquent Areas.

Authors:  Mingze Wang; Yuming Jiao; Chaofan Zeng; Chaoqi Zhang; Qiheng He; Yi Yang; Wenjun Tu; Hancheng Qiu; Huaizhang Shi; Dong Zhang; Dezhi Kang; Shuo Wang; A-Li Liu; Weijian Jiang; Yong Cao; Jizong Zhao
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