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1.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 46(1): 52-58, 2017 01 25.
Article in Chinese | MEDLINE | ID: mdl-28436631

ABSTRACT

Objective: To assess the clinical application of video head impulse test (vHIT) for vestibular function in vestibular neuritis (VN) and benign paroxysmal positional vertigo (BPPV) patients. Methods: Thirty-three patients with VN and 43 patients with BPPV were enrolled from Sir Run Run Shaw Hospital and Ningbo Second Hospital from March 15 to September 10, 2015; and 50 healthy controls were also enrolled in the study. vHIT was used to quantitatively test the vestibulo-ocular reflex (VOR) gains of a pair of horizontal semicircular canals. VOR gains two pairs of vertical semicircular canals, and the corresponding asymmetrical value of three VOR gains. The saccades information was also recorded. Results: Compared with the healthy control group and BPPV patients, the affected horizontal and vertical VOR gains were declined and the corresponding asymmetries were increased in VN patients (all P<0.01). BPPV group also showed higher vertical VOR gain asymmetries compared with the healthy control group (all P<0.01), but no significant difference was observed in VOR gains and horizontal VOR gain asymmetry (all P>0.05). The sensibility of vHIT in diagnosis of VN was 87.9%. Among 33 VN patients, 22 were diagnosed with superior vestibular nerve dysfunction, 7 were found with inferior vestibular nerve dysfunction and 3 were with both dysfunction; and 1 case was not distinguished. Conclusion: Video head impulse test can quantitatively evaluate the vestibular dysfunction of VN and can help early diagnosis of VN, which may be widely used in clinic.


Subject(s)
Benign Paroxysmal Positional Vertigo/diagnosis , Reflex, Vestibulo-Ocular/physiology , Vestibular Diseases/classification , Vestibular Diseases/diagnosis , Vestibular Nerve/pathology , Vestibular Neuronitis/classification , Vestibular Neuronitis/diagnosis , Head Impulse Test , Humans , Saccades/physiology , Semicircular Canals/innervation , Semicircular Canals/physiopathology , Sensitivity and Specificity
2.
Acta Otolaryngol ; 132(12): 1288-94, 2012 Dec.
Article in English | MEDLINE | ID: mdl-23039337

ABSTRACT

CONCLUSIONS: Inferior vestibular neuritis (IVN) is a relatively minor subtype of vestibular neuritis (VN) and its clinical characteristics are unique. OBJECTIVES: To clarify clinical characteristics of IVN in comparison with conventional VN. METHODS: This was a retrospective case series review. Caloric responses and cervical vestibular evoked myogenic potential (cVEMP) responses were measured in 71 patients with VN. The patients were classified into three groups: (1) IVN group, who showed only asymmetrical cVEMP responses; (2) superior VN (SVN) group, who showed only asymmetrical caloric responses; (3) total VN (TVN) group, who showed asymmetrical responses in both tests. The clinical records of time course of subjective symptoms (duration of attack, duration of hospitalization, and time to remission) were reviewed and other profiles (age, sex, affected side, acute symptoms, and sequelae) were evaluated. RESULTS: Of the 71 patients with VN, 13 (18%) were classified as having IVN. The mean age and time to remission of patients with IVN (44.2 ± 4.8 years, 0.9 ± 0.5 months) were significantly lower and shorter, respectively, than those of patients with TVN (57.3 ± 2.5 years, 4.9 ± 4.7 months). There were no significant differences in other symptoms and profiles among the three groups. No patients with IVN showed benign paroxysmal positional vertigo as a sequela.


Subject(s)
Vestibular Neuronitis/diagnosis , Adult , Caloric Tests , Diagnosis, Differential , Female , Humans , Male , Meniere Disease/diagnosis , Middle Aged , Otolithic Membrane/physiopathology , Prognosis , Remission, Spontaneous , Retrospective Studies , Saccule and Utricle/physiopathology , Semicircular Canals/physiopathology , Vestibular Evoked Myogenic Potentials/physiology , Vestibular Nerve/physiopathology , Vestibular Neuronitis/classification , Vestibular Neuronitis/physiopathology
3.
Acta Otolaryngol ; 131(9): 921-8, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21526905

ABSTRACT

CONCLUSION: The inner ear monitoring system is useful for identifying the affected branches of the vestibular nerve in cases of vestibular neuritis, providing insight about the interval for the relief of vertigo. OBJECTIVE: This study conducted an inner ear monitoring system including audiometry, and caloric, ocular vestibular evoked myogenic potential (oVEMP), and cervical VEMP (cVEMP) tests in cases of vestibular neuritis for assessing the affected branches of the vestibular nerve. METHODS: Twenty patients with vestibular neuritis underwent caloric, oVEMP, and cVEMP tests. Type I indicates that one of the three tests is abnormal; type II indicates that two test results are abnormal; and type III indicates that no test result is normal. RESULTS: All patients had normal hearing, bilaterally. Nineteen (95%) of 20 patients had abnormal caloric responses, 11 patients (55%) had abnormal oVEMPs, and 5 patients (25%) had abnormal cVEMPs. Restated, of all 20 patients, 8 patients were classified as type I, 9 were type II, and 3 were type III. The mean intervals between presentation and relief of vertigo were significantly different among the three types. One year after treatment, caloric, oVEMP, and cVEMP tests returned to normal responses in three (60%) of five patients.


Subject(s)
Vestibular Function Tests/methods , Vestibular Nerve/physiopathology , Vestibular Neuronitis/diagnosis , Acoustic Stimulation , Adult , Electronystagmography , Female , Humans , Male , Middle Aged , Reaction Time/physiology , Reflex, Vestibulo-Ocular/physiology , Saccule and Utricle/innervation , Vestibular Evoked Myogenic Potentials/physiology , Vestibular Neuronitis/classification , Vestibular Neuronitis/physiopathology , Young Adult
4.
Laryngorhinootologie ; 89(7): 418-23, 2010 Jul.
Article in German | MEDLINE | ID: mdl-20440669

ABSTRACT

BACKGROUND: Dizziness has a clear impact on quality of life of patients. Standardized instruments such as the "Dizziness Handicap Inventory" (DHI) help clinicians assess this impact systematically. The purpose of this study was to analyse the psychometric quality of a German version of the DHI. METHODS: One hundred and five patients with dizziness as their primary complaint have completed the DHI and undergone vestibular examination. The structure of the DHI was determined with a factor analysis, a principal component analysis with a Varimax rotation. To evaluate the reliability, internal consistency (Cronbach's alpha) was estimated. RESULTS: A three-factor solution was extracted. The factors obtained from the German version of the DHI related to (1) activity and participation limitations (2) emotional problems and (3) motion sensitivity in everyday life of patients. Overall, there was a close correspondence of the factors of the German and the original version. The correlation analysis indicated a close relationship between the DHI-scores and the frequency of dizziness attacks. CONCLUSION: The German version of the DHI exhibited a multidimensional structure and good psychometric quality to assess the impact of dizziness in every day life.


Subject(s)
Cross-Cultural Comparison , Disability Evaluation , Dizziness/diagnosis , Quality of Life/psychology , Activities of Daily Living/classification , Activities of Daily Living/psychology , Adult , Aged , Dizziness/classification , Dizziness/psychology , Emotions , Female , Germany , Humans , Male , Meniere Disease/classification , Meniere Disease/diagnosis , Meniere Disease/psychology , Middle Aged , Psychometrics/statistics & numerical data , Reproducibility of Results , Sick Role , Surveys and Questionnaires , Translating , Vestibular Neuronitis/classification , Vestibular Neuronitis/diagnosis , Vestibular Neuronitis/psychology
5.
J Med Syst ; 34(2): 119-30, 2010 Apr.
Article in English | MEDLINE | ID: mdl-20433050

ABSTRACT

We show that Bayesian methods can be efficiently applied to the classification of otoneurological diseases and to assess attribute dependencies. A set of 38 otoneurological attributes was employed in order to use a naive Bayesian probabilistic model and Bayesian networks with different scoring functions for the classification of cases from six otoneurological diseases. Tests were executed on the basis of tenfold crossvalidation. We obtained average sensitivities of 90%, positive predictive values of 92% and accuracies as high as 97%, which is better than our earlier tests with neural networks. Our assessments indicated that Bayesian methods have good power and potential to classify otoneurological patient cases correctly even if this is often a complicated task for the best specialists. Bayesian methods classified the current medical data and knowledge well.


Subject(s)
Ear Diseases/classification , Neural Networks, Computer , Age Factors , Bayes Theorem , Decision Trees , Diagnosis, Computer-Assisted , Ear Diseases/diagnosis , Expert Systems , Hearing Loss, Sudden/classification , Hearing Loss, Sudden/diagnosis , Humans , Meniere Disease/classification , Meniere Disease/diagnosis , Neuroma, Acoustic/classification , Neuroma, Acoustic/diagnosis , Time Factors , Vertigo/classification , Vertigo/diagnosis , Vestibular Neuronitis/classification , Vestibular Neuronitis/diagnosis
6.
Stud Health Technol Inform ; 136: 211-6, 2008.
Article in English | MEDLINE | ID: mdl-18487733

ABSTRACT

A dataset including cases of six otoneurological diseases was analysed using machine learning methods to investigate the classification problem of these diseases and to compare the effectiveness of different methods for this data. Linear discriminant analysis was the best method and next multilayer perceptron neural networks provided that the data was input into a network in the form of principal components. Nearest neighbour searching, k-means clustering and Kohonen neural networks achieved almost as good results as the former, but decision trees slightly worse. Thus, these methods fared well, but Naïve Bayes rule could not be used since some data matrices were singular. Otoneurological cases subject to the six diseases given can be reliably distinguished.


Subject(s)
Artificial Intelligence , Decision Support Systems, Clinical , Expert Systems , Hearing Loss, Sudden/classification , Medical Records Systems, Computerized , Meniere Disease/classification , Natural Language Processing , Neuroma, Acoustic/classification , Vertigo/classification , Vestibular Neuronitis/classification , Algorithms , Decision Trees , Hearing Loss, Sudden/etiology , Meniere Disease/diagnosis , Neural Networks, Computer , Neuroma, Acoustic/diagnosis , Vestibular Neuronitis/diagnosis
7.
Acta Otolaryngol ; 124(5): 595-602, 2004 Jun.
Article in English | MEDLINE | ID: mdl-15267178

ABSTRACT

OBJECTIVE: In the past, various attempts were made to perform a quantitative analysis of nystagmographic findings but their diagnostic value was limited. Therefore, the authors present a multivariate analysis of nystagmus findings with the aim of increasing the precision of diagnostic differentiation in cases of vestibular dysfunction. MATERIAL AND METHODS: A group of 387 patients and 40 healthy volunteers were examined over a 14-month period using electronystagmography after stimulation by bithermal, bilateral irrigation of the labyrinth. Amplitude, slow-phase velocity, frequency and directional preponderance were evaluated. RESULTS: No defined normal values for caloric nystagmus parameters could be obtained. However, by using the Mann Whitney U-test and logistic regression analysis a differentiation between pathological and healthy findings as well as between central and peripheral vestibular disorders and even between distinct vestibular disease entities is possible. Using these methods, the nystagmus amplitude was found to be the strongest discriminating parameter. Therefore, sole assessment of nystagmographic findings by selective calculation of the nystagmus slow-phase velocity falls short of the potential offered by electronystagmographic registration. CONCLUSION: For daily clinical routine, counting nystagmus beats leads to the same diagnostic precision as the analysis of slow-phase velocities. In contrast, multivariate analysis of several nystagmus parameters can distinguish between distinct diseases with fairly high precision. This stepwise analysis of nystagmographic data could create the basis for an expert-system tool in the near future.


Subject(s)
Data Interpretation, Statistical , Nystagmus, Pathologic/classification , Vestibular Diseases/classification , Caloric Tests , Case-Control Studies , Diagnosis, Differential , Electronystagmography , Humans , Logistic Models , Meniere Disease/complications , Meniere Disease/diagnosis , Multivariate Analysis , Neuroma, Acoustic/complications , Neuroma, Acoustic/diagnosis , Nystagmus, Pathologic/diagnosis , Nystagmus, Pathologic/physiopathology , Nystagmus, Physiologic , Retrospective Studies , Sensitivity and Specificity , Statistics, Nonparametric , Vertigo/etiology , Vestibular Diseases/complications , Vestibular Diseases/diagnosis , Vestibular Neuronitis/classification , Vestibular Neuronitis/complications
8.
Curr Opin Neurol ; 16(1): 5-13, 2003 Feb.
Article in English | MEDLINE | ID: mdl-12544852

ABSTRACT

PURPOSE OF REVIEW: Vestibular symptoms occur frequently in patients with migraine. This review refines recently proposed diagnostic criteria for migraine-related vestibular symptoms, and develops a pathophysiological model for the interface between migraine and the vestibular system. RECENT FINDINGS: The epidemiological link between migraine and vestibular symptoms and signs suggests shared pathogenetic mechanisms. Links between the vestibular nuclei, the trigeminal system, and thalamocortical processing centers provide the basis for the development of a pathophysiological model of migraine-related vertigo. During the last year, several studies have increased understanding of the relationship between migraine and vestibular symptoms. A study of motion sickness and allodynia in migraine patients supports the importance of central mechanisms of sensitization for migraine-related vestibular symptoms. A study has demonstrated effective treatment of vertigo with migraine therapy. The identification of migrainous vertigo, however, is hampered by a lack of standardized assessment criteria for both clinical and research practices. The application of published criteria for the diagnosis of migrainous vertigo allows the development of a standardized, structured assessment interview. SUMMARY: An understanding of the relationship between migraine and the vestibular system increases knowledge of the pathogenesis of both migraine and vertigo. In addition, studies have identified successful treatment, with standard migraine therapies, of vestibular symptoms in patients with both migraine and vertigo. The use of a standardized assessment tool to identify this unique population of patients will help future studies to test both the pathological model and effective treatment options.


Subject(s)
Migraine Disorders/diagnosis , Vestibular Neuronitis/diagnosis , Cerebral Cortex/physiopathology , Diagnosis, Differential , Humans , Meniere Disease/diagnosis , Meniere Disease/physiopathology , Migraine Disorders/physiopathology , Neural Pathways/physiopathology , Neurologic Examination , Thalamus/physiopathology , Trigeminal Nuclei/physiopathology , Vestibular Neuronitis/classification , Vestibular Neuronitis/physiopathology , Vestibular Nuclei/physiopathology
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