Introduction: Atypical lipomatous tumours (ALTs), or low-grade well-differentiated liposarcomas (WDLs), can be identified using radiological complex septations and histological atypia. In our view, this is a confusing name that underestimates the risk of local recurrence of such tumours. Defining a management algorithm for differentiating a lipoma from an ALT is important for considering the best management of these patients.
Aims: This study aims to evaluate the clinical, radiological, and histological features of ALT presentation and propose a management algorithm for these lesions.
Methods: A retrospective case series of a prospectively maintained database at Tallaght University Hospital, Dublin, Ireland was carried out on all patients with ALTs from 2013 to 2019. The group demographics, tumour characteristics, radiological features, treatment, and recurrence were described.
Results: From 2013 to 2019, 607 lipomatous tumours were resected; 40 lesions in 37 patients were classified as ALTs. The mean age of this subgroup of patients was 56.15 ± 13.64 years (range: 25-83 years). The most common location was the lower limb. All patients underwent clinical, radiological, and histological workups prior to surgery. Angio-embolisation prior to surgery was required in two (5%) patients; three (7.5%) patients developed local recurrence requiring a second surgical resection. Characteristics of ALTs and a management algorithm are proposed.
Conclusion: It is important for a practitioner to differentiate a suspected ALT from a lipoma. Increased intratumoural vascularity and septation in ALT are reflected in the MRI findings and may play a key role in the acquisition of a malignant phenotype in adipocytic tumours. The proposed management algorithm for these lesions aims to help stratify these subcutaneous lesions.
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http://dx.doi.org/10.7759/cureus.77384 | DOI Listing |
Respirology
March 2025
College of Health and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia.
Background And Objectives: Treatable trait-based personalised medicine improves outcomes in severe asthma clinics. We assessed the feasibility of a randomised controlled trial (RCT) of protocolised treatable trait-guided asthma management in patients not under a severe asthma clinic.
Methods: Ten week single-group cohort study.
JMIR Med Inform
March 2025
LynxCare Inc, Leuven, Belgium.
Background: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. However, most private data systems prevent obtaining usable insights for clinical practice.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
Background: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.
Objective: This work stems from the Coordinating Health care with AI-supported Technology for patients with AF (CHAT-AF) trial and aims to explore patient perspectives on receiving support from a conversational AI support program.
Methods: Patients with AF recruited for a randomized controlled trial who received the intervention were approached for semistructured interviews using purposive sampling.
JMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFSci Robot
March 2025
NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these therapies. Here, we developed an implantable spinal cord neuroprosthesis operating in a closed loop to promote robust activity during walking and cycling assisted by robotic devices.
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