Context: The incidences and risk factors caused by computed tomography (CT)-guided percutaneous computed tomography-guided needle biopsies (PCNBs) in elderly and young patients were not very clear.
Aims: This study explored the different incidences of pneumothorax caused by PCNBs and related risk factors in elderly and young patients.
Settings And Design: The medical records of 1100 patients who underwent CT-guided PCNBs in a hospital from January 2018 to December 2019 were retrospectively reviewed.
Subjects And Methods: Data relating to the patients, lesions, techniques, and diagnoses were collected according to the ethical standards of the institutional research committee (registration number: KYLL-202008-145).
Statistical Analysis Used: The variables were significant by univariate analysis and further analyzed by multivariate logistic regression analysis.
Results: In the 1100 patients with PCNBs, the incidence of pneumothorax in groups ≥65 years old and <65 years old was 15.2% and 12.9%, respectively. There was no significant difference in the incidence of pneumothorax between the young and elderly patients. In elderly and young patients, emphysema along the needle path and dwell time was independent predictors. However, in young patients, lesion-abutting pleura was an independent risk factor for pneumothorax, but not in elderly patients.
Conclusions: The risk of pneumothorax caused by CT-guided percutaneous core needle biopsy of the lung does not increase in elderly patients. Emphysema along the needle path and dwell time is independent predictors of pneumothorax in elderly and young patients.
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http://dx.doi.org/10.4103/jcrt.jcrt_1058_21 | DOI Listing |
Transl Vis Sci Technol
January 2025
New England Eye Center, Tufts Medical Center, Boston, MA, USA.
Purpose: To evaluate visibility of a sub-band posterior to the external limiting membrane (ELM) and assess its age-associated variation.
Methods: In a retrospective cross-sectional study, normal eyes were imaged using a high-resolution spectral-domain optical coherence tomography (SD-OCT) prototype (2.7-µm axial resolution).
JAMA Netw Open
January 2025
Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Importance: Mental health issues among young people are increasingly concerning. Conventional psychological interventions face challenges, including limited staffing, time commitment, and low completion rates.
Objective: To evaluate the effect of a low-intensity online intervention on young people in Hong Kong experiencing moderate or greater mental distress.
JAMA Netw Open
January 2025
Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (IMHAY), Santiago, Chile.
Importance: Mental health stigma is a considerable barrier to help-seeking among young people.
Objective: To systematically review and meta-analyze randomized clinical trials (RCTs) of interventions aimed at reducing mental health stigma in young people.
Data Sources: Comprehensive searches were conducted in the CENTRAL, CINAHL, Embase, PubMed, and PsycINFO databases from inception to February 27, 2024.
J Neurol
January 2025
Department of Neurology, Clinic of Optic Neuritis and Danish Multiple Sclerosis Center, Rigshospitalet-Glostrup, Valdemar Hansens Vej 13, 2600, Glostrup, Denmark.
Background: Although optic neuritis (ON) is common in multiple sclerosis (MS), lesions of the optic nerve are not included as an anatomical substrate for dissemination in space and time (DIS and DIT).
Objective: To assess the increase in sensitivity of including MRI lesions of the optic nerve for the diagnosis of MS in patients with ON.
Methods: We included patients consecutively referred with first time, monosymptomatic ON, with no known cause of the ON, who underwent orbital MRI including fat suppressed T2 and T1-sequences with and without gadolinium contrast.
Eur Radiol Exp
January 2025
St Vincent's University Hospital, Dublin, Ireland.
Background: The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI).
Methods: Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression.
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