Objective: Quality and adequacy of the electrode neuron interface (ENI) is postulated to be a determining factor in affecting auditory outcomes after cochlear implantation. This study aims to review radiological parameters affecting ENI, including angular insertion (AngI), wrapping factor (WF), scalar translocation (ScaT), and electrode-modiolar distance (EMD) and their effect on auditory outcomes.
Databases Reviewed: PubMed, MEDLINE, Embase, Scopus, OpenGrey, and Google Scholar from inception to 01 September 2022.
Methods: Inclusion criteria were (i) all humans with any cochlear implant (CI); (ii) postoperative cross-sectional imaging with electrode position factors of AngI, ScaT, EMD, and/or WF; and (iii) associated auditory outcomes. Search was restricted to English-language literature. Two independent reviewers performed title and abstract screening, data extraction, and ROBINS-I risk of bias assessment. Formal statistical analysis not performed due to data heterogeneity. PROSPERO (CRD42022359198).
Results: Thirty-one studies (n = 2,887 patients, 3,091 electrodes) underwent qualitative synthesis. Higher AngI (n = 1921 patients) demonstrated positive correlation in 11 studies, no correlation in eight studies, and negative correlation in four studies. ScaT (n = 2,115 patients) demonstrated negative correlation in 12 studies, none in six studies, and one unclear correlation. Larger EMD (n = 240 patients) showed negative correlation in two studies, no correlation in one, and unclear correlation in one study. Smaller WF (n = 369 patients) demonstrated no correlation in three studies and positive correlation in one study.
Conclusions: Our study finds variable reported relationship between AngI and auditory outcomes. CI electrodes with a ScaT or larger EMD are more likely to exhibit poorer outcomes, and WF does not correlate with outcomes.
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http://dx.doi.org/10.1097/MAO.0000000000004044 | DOI Listing |
Br J Radiol
January 2025
Department of Hepatobiliary Surgery, Institute of Liver and Biliary Sciences, New Delhi.
Objectives: To study the correlation between sarcopenia and hypertrophy of the future liver remnant(FLR) in patients undergoing portal vein embolization(PVE) before liver resection, and to assess the outcomes after resection.
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Psychooncology
January 2025
Department of Psychology, Maltepe University, İstanbul, Turkey.
Objective: In recent years, many studies have investigated the triggers, perpetuating factors, and outcomes of Fear of Cancer Recurrence (FCR), highlighting its complexity with multiple dimensions that encompass both antecedents and consequences. In this sense, the cognitive approach to FCR has explored variables such as metacognition, maladaptive coping strategies, and intolerance of uncertainty (IU). On the other hand, the findings of a restricted number of studies investigating the relationship between FCR and stated variables appear to be inconsistent.
View Article and Find Full Text PDFPak J Pharm Sci
January 2025
School of Pharmacy, Shaoyang University, Shaoyang, Hunan, China.
Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases worldwide, with no cure at present. Vitamin D (VD) is a fat-soluble vitamin, which has been recognized as one of the major influencing factors of T2DM. However, the specific relationship between T2DM and VD remains elusive.
View Article and Find Full Text PDFJ Sex Med
January 2025
Clinical Obstetric and Gynecological V Buzzi, ASST-FBF-Sacco, Via Castelvetro 24-20124-University of the Study of Milan, Milan, Italy.
Background: Vulvodynia is a multifactorial disease affecting 7%-16% of reproductive-aged women in general population; however, little is still known about the genetics underlying this complex disease.
Aim: To compare polygenic risk scores for hormones and receptors levels in a case-control study to investigate their role in vulvodynia and their correlation with clinical phenotypes.
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J Orthop Surg Res
January 2025
Department of Human Anatomy, Graduate School, Inner Mongolia Medical University, Hohhot, 010010, Inner Mongolia, China.
Purpose: The study aimed to develop a deep learning model for rapid, automated measurement of full-spine X-rays in adolescents with Adolescent Idiopathic Scoliosis (AIS). A significant challenge in this field is the time-consuming nature of manual measurements and the inter-individual variability in these measurements. To address these challenges, we utilized RTMpose deep learning technology to automate the process.
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