Lower limb entrapment neuropathies comprise a wide range of disorders, including less common conditions like tarsal tunnel syndrome, Morton neuroma, obturator nerve entrapment syndrome, superior gluteal nerve entrapment, and cluneal nerve entrapment syndrome. Despite being less prevalent, these syndromes are equally significant, presenting with symptoms such as pain, dysesthesia, muscular weakness, and distinct physical signs. Accurate diagnosis of these less common disorders is crucial for successful therapy and patient recovery, as they can sometimes be mistaken for lumbar plexopathies, radiculopathies, or musculotendinous diseases. This narrative review highlights the significance of identifying and diagnosing these particular neuropathies through a comprehensive assessment of the patient’s medical history, detailed physical examination, and the use of electrodiagnostic and/or ultrasound investigations. When the diagnosis is uncertain, advanced imaging techniques like magnetic resonance neurography or magnetic resonance imaging are necessary to confirm the diagnosis. A positive diagnosis ensures prompt and targeted treatments, preventing further nerve impairments and muscle wasting. This article explores the epidemiology, anatomy, pathophysiology, etiology, clinical presentation, and electrodiagnostic interpretation of lower limb entrapment neuropathies, highlighting the importance of precise diagnosis in achieving favorable patient outcomes.

Background/Objectives: Carpal tunnel syndrome (CTS) is a common neuropathy that significantly impacts patients’ quality of life and incurs substantial healthcare costs. The 6-item Carpal Tunnel Syndrome Symptom Scale and the Palmar Pain Scale (PPS) are concise, reliable tools widely used to assess CTS symptom severity. Our study aimed to translate, culturally adapt, and validate the Romanian version of the 6-item CTS Symptoms Scale in a sample of Romanian-speaking patients. Methods: This cross-sectional study involved 118 wrists from 59 Romanian-speaking patients. Each participant completed the CTS-6 scale and nerve conduction studies were carried out on their wrists. The CTS-6 scale was translated into Romanian using a forward–backward translation process. The psychometric properties of the Romanian CTS-6 were assessed, including internal consistency and construct validity (criterion validity, convergent, and divergent validity). Results: The Romanian CTS-6 and PPS demonstrated high internal consistency (Cronbach’s alpha = 0.93, respectively, 0.92, and strong item-total correlations). Factor analysis confirmed their unidimensional structure, with factor loadings ranging from 0.80 to 0.90. The CTS-6 scores showed moderate correlations with electrophysiological parameters, supporting criterion validity. Divergent validity was shown too. Conclusions: The Romanian version of the 6-item CTS Symptoms Scale and PPS is a valid tool for assessing CTS symptom severity in Romanian-speaking populations.

Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact cognitive performance despite ischemic injuries. Brain reserve refers to the brain’s structural capacity to compensate for damage, with markers like hippocampal atrophy and white matter lesions indicating reduced reserve. Cognitive reserve involves the brain’s ability to optimize performance and use alternative networks to maintain function. Advanced methods of MRI and EEG processing may better assess brain reserve and cognitive reserve, with emerging predictive models integrating these measures to improve PSCI prediction. This article provides the design of a hospital-based study investigating the predictive role of functional connectivity and MRI radiomics in assessing PSCI occurrence one year after AIS. One hundred forty-four patients will be enrolled following strict inclusion/exclusion criteria. The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. The primary outcome will be PSCI occurrence, and it will be assessed at six and twelve months after AIS. Secondary outcomes will include PSCI severity, recurrent AIS, and mortality. Statistical analyses will be performed to identify predictive factors using Cox proportional hazards models, and predictive models based on QEEG, MRI radiomics, and clinical data will be built. Early detection of AIS patients prone to developing PSCI might outline more effective therapeutic approaches, reducing the social and economic burden of ischemic stroke.