| Literature DB >> 28280653 |
Ian Berger1, Nikhil Nayak2, James Schuster2, John Lee2, Sherman Stein2, Neil R Malhotra2.
Abstract
INTRODUCTION: Both microvascular decompression (MVD) and stereotactic radiosurgery (SRS) have been demonstrated to be effective in treating medically refractory trigeminal neuralgia. However, there is controversy over which one offers more durable pain relief and the patient selection for each treatment. We used a decision analysis model to calculate the health-related quality of life (QOL) for each treatment.Entities:
Keywords: cyberknife; decision analysis; gamma knife; microvascular decompression; radiosurgery; trigeminal neuralgia
Year: 2017 PMID: 28280653 PMCID: PMC5325747 DOI: 10.7759/cureus.1000
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Outcomes of the Surgical Treatment of Trigeminal Neuralgia
Decision tree outlining the possible pathways encountered by a patient undergoing either SRS or MVD for trigeminal neuralgia. Note that because of the very large number of branches contained in the entire tree, we only display outcomes of a single procedure, free of complications. The tree shown is repeated for cases in which complications occur, and this larger tree is repeated for the other procedure. The aggregate tree is then populated with the probability of each branch and the effect on quality of life for each outcome.
Barrow Neurological Institute Pain Intensity Score
Patient reported pain intensity score for TN developed by the BNI [14].
|
| |
| I | No trigeminal pain, no medication |
| II | Occasional pain, not requiring medication |
| III | Some pain, adequately controlled with medication |
| IV | Some pain, not adequately controlled with medication |
| V | Severe pain/no pain relief |
Figure 2Articles Reviewed
Summary of abstracts and articles reviewed for this report. Reasons for the rejection of case series are shown.
Publications Used in This Analysis
Publications used in the analysis arranged by publication date.
| First Author | Type of Procedure | Number of Cases | Study Type |
|
Brisman [ | SRS | 49 | Observational |
|
Nicol [ | SRS | 42 | Observational |
|
Chang [ | SRS | 15 | Observational |
|
Shaya [ | SRS | 40 | Observational |
|
Lim [ | SRS | 41 | Observational |
|
Tawk [ | SRS | 38 | Observational |
|
Pollock [ | Both | 83 | Prospective Cohort study |
|
Massager [ | SRS | 109 | Observational |
|
Fountas [ | SRS | 77 | Observational |
|
Balamucki [ | SRS | 172 | Observational |
|
Fountas [ | SRS | 57 | Observational |
|
Longhi [ | SRS | 92 | Observational |
|
Brisman [ | SRS | 61 | Observational |
|
Lorenzoni [ | SRS | 89 | Observational |
|
Matsuda [ | SRS | 100 | Observational |
|
Huang [ | SRS | 89 | Observational |
|
Linskey [ | Both | 70 | Prospective Cohort study |
|
Oh [ | Both | 45 | Retrospective comparison |
|
Dhople [ | SRS | 112 | Observational |
|
Knafo [ | SRS | 67 | Observational |
|
Han [ | SRS | 51 | Observational |
|
Fariselli [ | SRS | 33 | Observational |
|
Adler [ | SRS | 46 | Observational |
|
Park [ | SRS | 39 | Observational |
|
Chen [ | SRS | 40 | Observational |
|
Sheehan [ | SRS | 63 | Observational |
|
Hayashi [ | SRS | 130 | Observational |
|
Park [ | SRS | 17 | Observational |
|
Park [ | SRS | 62 | Observational |
|
Tuleasca [ | SRS | 497 | Observational |
|
Fraioli [ | SRS | 23 | Observational |
|
Attia [ | SRS | 19 | Observational |
|
Lee [ | SRS | 91 | Observational |
|
Flickinger [ | SRS | 174 | Observational |
|
Lazzara [ | SRS | 16 | Observational |
|
Young [ | SRS | 250 | Observational |
|
Lee [ | SRS | 21 | Observational |
|
Lucas [ | SRS | 446 | Observational |
|
Song [ | SRS | 20 | Observational |
|
Xu [ | SRS | 99 | Observational |
|
Tyler-Kabara [ | MVD | 1739 | Observational |
|
Ashkan [ | MVD | 80 | Observational |
|
Olson [ | MVD | 156 | Observational |
|
Zakrzewska [ | MVD | 220 | Observational |
|
Aryan [ | MVD | 19 | Observational |
|
Sindou [ | MVD | 362 | Observational |
|
Laghmari [ | MVD | 51 | Observational |
|
Tarricone [ | MVD | 20 | Observational |
|
Bond [ | MVD | 119 | Observational |
|
Oesman [ | MVD | 120 | Observational |
|
Chakravarthi [ | MVD | 40 | Observational |
|
Chen [ | MVD | 67 | Observational |
|
Zhong [ | MVD | 1274 | Observational |
|
Sandel [ | MVD | 243 | Observational |
|
Reddy [ | MVD | 60 | Observational |
|
Shibahashi [ | MVD | 65 | Observational |
|
Sarnvivad [ | MVD | 98 | Observational |
Patient Characteristics
| Characteristic | SRS | MVD | Difference (p-value) | ||||
| N | Mean | SD | N | Mean | SD | ||
| % Female | 3144 | 60.9 | 8.0 | 1699 | 62.7 | 8.0 | 0.462 |
| Mean Age | 1944 | 67.6 | 4.5 | 3697 | 57.5 | 3.3 | <0.001 |
| Mean Follow-up (mos) | 3477 | 31.7 | 19.2 | 3697 | 43.2 | 27.6 | 0.065 |
| % With Previous Procedures | 3013 | 21.1 | 10.4 | 3387 | 14.9 | 10.8 | 0.058 |
Probabilities of Outcomes After Treatment
| Outcome | SRS | MVD | Difference (p-value) | |||
| Mean | SD | Mean | SD | |||
| BNI score (%) | ||||||
| I | 38.8 | 17.5 | 52.8 | 21.3 | 0.01 | |
| II | 20.9 | 10.8 | 26.2 | 24.5 | 0.256 | |
| III | 25.5 | 12.7 | 13.3 | 5.1 | <0.001 | |
| IV-V | 14.8 | 6.4 | 7.7 | 0.67 | <0.001 | |
| Complications (%) | 19.3 | 0.7 | 17.6 | 0.5 | <0.001 | |
| 7-year recurrence rate (%) | 22.6 | 13.4 | 15.9 | 10.5 | 0.013 | |
| Recurrences re-treated (%) | 45.5 | 35.5 | 8.0 | 6.9 | 0.005 | |
Utilities of Outcomes After Treatment of Trigeminal Neuralgia by MVD or SRS
N/A = not appropriate
| Description | Utility | SD | Ref |
| BNI I | 1.0 | N/A |
Hunink 2001 [ |
| BNI II | 0.871 | 0.213 |
Perez et al. 2009 [ |
| BNI III | 0.739 | 0.221 |
Perez et al. 2009 [ |
| BNI IV-V | 0.399 | 0.189 |
Perez et al. 2009 [ |
| Complications after MVD | 0.958 | 0.013 | Calculated from analysis (Table |
| Complications after SRS | 0.962 | 0.085 | Calculated from analysis (Table |
| Needing to take medication | 0.881 | 0.003 |
Calculated from analysis (Table |
| Re-treatment by MVD | 0.915*(utility MVD) | N/A |
Lega et al. 2010 [ |
| Re-treatment by SRS | 0.915*(utility SRS) | N/A |
Lega et al. 2010 [ |
Effect of Periprocedural Complications on Utility
CSF = cerebrospinal fluid; NR = not reported
| Name | Mean Utility | SD | Ref |
| No complications | 1.0 | 0 |
Hunink 2001 [ |
| CSF leak | 0.985 | NR | Estimate |
| Facial palsy | 0.983 | 0.018 |
Whitmore et al. 2011: Vestibular schwannoma [ |
| Corneal keratitis | 0.963 | NR |
van de Graaf et al. 2010 [ |
| Facial numbness, paresthesia, or dysesthesia | 0.960 | 0.014 |
Whitmore et al. 2011: Vestibular schwannoma [ |
| Meningitis | 0.930 | 0.030 |
Whitmore et al. 2011: Vestibular schwannoma [ |
| Unilateral deafness | 0.929 | 0.110 |
Whitmore et al. 2011: Vestibular schwannoma [ |
| Acute subdural hematoma | 0.868 | .0170 |
Lega et al. 2010: Chronic SDH [ |
| Diplopia | 0.762 | 0.104 |
Hatt et al. 2010 [ |
| Stroke | 0.5 | NR |
Samsa et al. 1999 [ |
| Perioperative death | 0 | 0 |
Hunink 2001 [ |
Incidence of Complications After MVD for Trigeminal Neuralgia
CSF = cerebrospinal fluid
| Complication | Mean | SD |
| Facial numbness | 0.044 | 0.020 |
| Facial palsy | 0.011 | 0.017 |
| Perioperative death | 0.002 | 0.001 |
| Deafness | 0.018 | 0.030 |
| CSF leak | 0.013 | 0.021 |
| Meningitis, wound infection | 0.012 | 0.016 |
| Other complications | 0.033 | 0.005 |
Figure 3Complications of MVD Treatment
Sub-tree outlining complications reported after MVD for trigeminal neuralgia.
Incidence of Complications After SRS for Trigeminal Neuralgia
| Complication | Mean | SD |
| Facial numbness | 0.141 | 0.053 |
| Facial palsy | 0.017 | 0.013 |
| Corneal keratitis | 0.015 | 0.009 |
| Hypertension, other complications | 0.020 | 0.019 |
Figure 4Complications of SRS Treatment
Sub-tree outlining complications reported after SRS for trigeminal neuralgia. Populating the tree with the probability and utility associated with each complication permits calculation of expected utility in patients who suffer complications after SRS.
Probability and Utility of Trigeminal Neuralgia Medication Side Effects
Values based on a decision analysis by Spatz et al. examining which treatments for TN offer the best patient quality of life [78].
| Description | Value | SD | |
| Probability | |||
| no medication complications | 0.176 | 0.092 | |
| mild–moderate medication complications | 0.514 | 0.144 | |
| severe medication complications | 0.311 | 0.126 | |
| Utility | |||
| no medication complications | 0.940 | 0.010 | |
| mild–moderate medication complications | 0.912 | 0.037 | |
| severe medication complications | 0.774 | 0.148 | |
Figure 5Outcomes of Medical Treatment
Sub-tree for calculating the expected utility of taking maintenance medication.
Associations Among Predictor Variables and Outcomes
Significant associations shown in bold.
1Success = BNI score I
2Failure = BNI score IV-V
R2 = coefficient of determination
| Predictor variable | Outcome variable | ||||||||
| success rate1 | failure rate2 | complication rate | recurrence rate | ||||||
| R2 | p-value | R2 | p-value | R2 | p-value | R2 | p-value | ||
| SRS | |||||||||
| Age | < 0.01 | 0.599 | < 0.01 | 0.906 | < 0.01 | 0.820 | < 0.01 | 0.768 | |
| Sex | 0.012 | 0.248 | 0.023 | 0.584 | 0.024 | 0.210 | 0.029 | 0.585 | |
| Follow-up (mos) | not measured | ||||||||
| Prior Procedure | 0.074 | 0.051 | 0.001 | 0.353 | 0.106 | 0.071 | 0.075 | 0.108 | |
| MVD | |||||||||
| Age | 0.99 | 0.023 | 0.485 | 0.410 | < 0.01 | 0.908 | < 0.01 | 0.884 | |
| Sex | 0.034 | 0.649 | 0.059 | 0.901 | 0.099 | 0.901 | < 0.01 | 0.524 | |
| Follow-up (mos) | not measured | 0.022 | 0.492 | ||||||
| Prior Procedure | 0.070 | 0.741 | 0.027 | 0.500 | 0.206 | 0.056 | 0.126 | 0.267 | |