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Purpose: Laryngeal electromyography (LEMG) has been considered as gold standard in diagnostics of vocal fold movement impairment, but is still not commonly implemented in clinical routine. Since the signal interpretation of LEMG signals (LEMGs) is often a subjective and semi-quantitative matter, the goal of this study was to evaluate the inter-rater reliability of neurolaryngologists on LEMGs of volitional muscle activity.
Methods: For this study, 52 representative LEMGs of 371 LEMG datasets were selected from a multicenter registry for a blinded evaluation by 7 experienced members of the neurolaryngology working group of the European Laryngological Society (ELS). For the measurement of the observer agreement between two raters, Cohen's Kappa statistic was calculated. For the interpretation of agreements of diagnoses among the seven examiners, we used the Fleiss' Kappa statistic.
Result: When focusing on the categories "no activity", "single fiber pattern", and "strongly decreased recruitment pattern", the inter-rater agreement varied from Cohen's Kappa values between 0.48 and 0.84, indicating moderate to near-perfect agreement between the rater pairs. Calculating with Fleiss' Kappa, a value of 0.61 showed good agreement among the seven raters. For the rating categories, the Fleiss' Kappa value ranged from 0.52 to 0.74, which also showed a good agreement.
Conclusion: A good inter-rater agreement between the participating neurolaryngologists was achieved in the interpretation of LEMGs. More instructional courses should be offered to broadly implement LEMG as a reliable diagnostic tool in evaluating vocal fold movement disorders in clinical routine and to develop future algorithms for therapy and computer-assisted examination.
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http://dx.doi.org/10.1007/s00405-019-05553-y | DOI Listing |
Medicine (Baltimore)
September 2025
Department of Radiology, University of Health Sciences Turkey, Istanbul Haseki Training and Research Hospital, Istanbul, Turkey.
In our study, we performed both computed tomographic angiography (CTA) and digital substraction angiography (DSA) collateral artery flow scoring in anterior system acute stroke patients who underwent mechanical thrombectomy (MT) within the first 16 hours. The study aimed to evaluate the consistency of both scoring methods and their relationship with the 90-day clinical outcomes of the patients. From January to December 2022, the files of patients with middle cerebral artery occlusion who underwent MT and were followed up at a stroke center were retrospectively reviewed.
View Article and Find Full Text PDFIndian J Psychiatry
August 2025
Department of Psychiatry, Government Medical College, Ernakulum, Kerala, India.
This article is the third in a series of learning resources on translation/adaptation of a scale, new scale development and testing its psychometric properties. This paper deals with the process of domain identification and item generation for a new scale and how to perform content validity (CV). During the scale development, the domain of interest/construct must be well-articulated and decided .
View Article and Find Full Text PDFClin Exp Metastasis
September 2025
Department of Neurosurgery, Warren Alpert Medical School of Brown University, 593 Eddy Street - APC 6, Providence, RI, 02903, USA.
Significant variability exists in the use of corticosteroids for treating adverse radiation effects (ARE) after stereotactic radiosurgery (SRS) of brain metastasis (BM). Here, we determine the diagnostic utility of a quadrant-based, visual assessment of magnetic resonance (MR) FLAIR as an imaging biomarker for steroid-dependent ARE. FLAIR was assessed at four axial levels along the rostral-caudal axis of the cerebrum, defined by standard landmarks of superior temporal line, third ventricle, temporal horn, and fourth ventricle.
View Article and Find Full Text PDFNeurourol Urodyn
September 2025
Department of Urology, School of Medicine, Division of Pediatric Urology, Marmara University, Istanbul, Turkey.
Aim: Uroflowmetry (UF) is one of the most commonly used noninvasive tests in the evaluation of children with lower urinary tract symptoms (LUTS). However, studies have highlighted a weak agreement among experts interpreting voiding patterns. This study aims to assess the impact of Machine Learning (ML) models, which have become increasingly prevalent in medicine, on the interpretation of voiding patterns.
View Article and Find Full Text PDFEur J Radiol
August 2025
Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Beomeo-ri, Mulgeum-eup, Yangsan-si 626-770 Gyeongsangnam-do, Republic of Korea. Electronic address: kschoo061
Objectives: This study externally tests the performance of an artificial intelligence algorithm (AI) for diagnosing ascending aortic dilatation (AAD) using PA view chest radiography (PA CXR).
Materials And Methods: Two retrospectively collected cohorts with paired CXR/CT within 30 days (Group 1) and 90 days (Group 2) were gathered as external test sets. The performance of AI (DeepCatch X Aorta v1.