Verticality perception in patients with active multiple sclerosis: The applicability of subjective visual vertical test and its modifications.

Background: Dizziness and balance disturbances are common in patients with MS. Subjective visual vertical (SVV) is a test of vestibular perception that allows clinicians to evaluate the integration of multiple sensory inputs for spatial orientation in the CNS. We hypothesize that central vestibular impairment caused by active MS lesions may be reflected in the modified SVV testing.

The Association of , , and SNPs and Laryngeal Squamous Cell Carcinoma Development.

Head and neck cancer is the seventh leading cancer diagnosis worldwide. One of the most common cancers in the head and neck region is laryngeal cancer. In past years, the incidence of laryngeal squamous cell carcinoma has risen by 23%, and despite progress in treatment modalities, the survival rate has not changed.

Alaryngeal Speech Enhancement for Noisy Environments Using a Pareto Denoising Gated LSTM.

Loss of the larynx significantly alters natural voice production, requiring alternative communication modalities and rehabilitation methods to restore speech intelligibility and improve the quality of life of affected individuals. This paper explores advances in alaryngeal speech enhancement to improve signal quality and reduce background noise, focusing on individuals who have undergone laryngectomy. In this study, speech samples were obtained from 23 Lithuanian males who had undergone laryngectomy with secondary implantation of the tracheoesophageal prosthesis (TEP).

The association of E2F1 and E2F2 single nucleotide polymorphisms with laryngeal squamous cell carcinoma pathomorphological features.

Background: Laryngeal squamous cell carcinoma (LSCC) is one of the most common types of cancer in the upper respiratory tract. It is well-known that it has a high mortality rate and poor prognosis in advanced stages. There are well-known risk factors for LSCC, though new specific and prognostic blood-based markers for LSCC development and prognosis are essential.

Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.

The study aimed to investigate and compare the accuracy and robustness of the multiparametric acoustic voice indices (MAVIs), namely the Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI), Acoustic Breathiness Index (ABI), and Voice Wellness Index (VWI) measures in differentiating normal and dysphonic voices. The study group consisted of 129 adult individuals including 49 with normal voices and 80 patients with pathological voices. The diagnostic accuracy of the investigated MAVI in differentiating between normal and pathological voices was assessed using receiver operating characteristics (ROC).