Background: Bertolotti's syndrome is a condition of the lower back and/or L5 distribution leg pain caused by a lumbosacral transitional vertebra (LSTV). Diagnosing the LSTV as the cause of the symptoms and condition is essential for accurate management of this syndrome. Castellvi's classification system is widely accepted for LSTV anatomy, but it measures only one aspect of transitional anatomy and was intended primarily to identify target-level disk herniations.
Observations: In this case, the Castellvi classification system failed to identify the patient (with 2 years of back and L5 pain) as having an LSTV, even though he displayed LSTV-like anatomy because both L5 transverse process heights measured less than 19 mm. He attained brief but significant relief from bilateral injections into the L5-S1 transverse/ala region and underwent a minimally invasive bilateral decompression of L5-S1 with almost complete relief of his symptoms maintained more than 6 months postoperatively.
Lessons: Given that the patient gained significant relief from treatment of transitional anatomy that failed to be identified using Castellvi's classification system, this case suggests that transverse process height may not be adequate or even the most clinically relevant indicator in identifying LSTV anatomy, which is a precursor to the diagnosis of Bertolotti's syndrome.
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http://dx.doi.org/10.3171/CASE22450 | DOI Listing |
Alzheimers Dement
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University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Background: Pharmacoepidemiologic studies assessing drug effectiveness for Alzheimer's disease and related dementias (ADRD) are increasingly popular given the critical need for effective therapies for ADRD. To meet the urgent need for robust dementia ascertainment from real-world data, we aimed to develop a novel algorithm for identifying incident and prevalent dementia in claims.
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Alzheimers Dement
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Relecura, Bangalore, karnataka, India.
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View Article and Find Full Text PDFAlzheimers Dement
December 2024
Weill Cornell Medicine, New York City, NY, USA.
Background: Early detection of Alzheimer's disease (AD) can improve prognosis, given new anti-amyloid therapies. Both positron emission tomography (PET) and magnetic resonance (MR) imaging biomarkers are currently used (1). 48F-Fluorodeoxyglucose-PET (FDG-PET) can detect neurodegeneration-related hypometabolism but is costly and not easily accessible (2).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México, DF, Mexico.
Background: The World Health Organization forecasts a population of 2,000 million people over 60 years by the year 2050, with 7% of this population suffering from dementia. Making a constant clinical-technological evaluation of older adults allows early detection of the disease and provides a better quality of life for the patient. In this sense, the research and development of innovative technological systems for the early detection of the disease, its monitoring and management of the growing number of patients with cognitive diseases has increased in recent years, integrating data collection and its automatic processing based on geriatric metrics into these systems using artificial intelligence (AI) methods.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Psychology & Language Sciences, University College London, London, United Kingdom.
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Methods: In a retrospective case-control study at our tertiary referral centre, we recruited 56 patients with PPA (21 nfvPPA, 22 semantic variant (sv)PPA, 13 logopenic variant (lv)PPA).
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