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Chemotherapy-Related Cognitive Impairment and Changes in Neural Network Dynamics: A Systematic Review.
Neurology
January 2025
Department of Neurosurgery, Lenox Hill Hospital, Zucker School of Medicine at Hofstra/Northwell, New York, NY; and.
Background And Objectives: This systematic review aims to synthesize the current literature on the association between chemotherapy (CTX) and chemotherapy-related cognitive impairment (CRCI) with functional and structural brain alterations in patients with noncentral nervous system cancers.
Methods: A comprehensive search of the PubMed/MEDLINE, Web of Science, and Embase databases was conducted, and results were reported following preferred reporting items for systematic review and meta-analyses guidelines. Data on study design, comparison cohort characteristics, patient demographics, cancer type, CTX agents, neuroimaging methods, structural and functional connectivity (FC) changes, and cognitive/psychological assessments in adult patients were extracted and reported.
Trifluridine/Tipiracil (FTD/TPI) in Metastatic Colorectal Cancer in Hong Kong: A Territory-Wide Cohort Study.
Adv Ther
January 2025
Centre of Cancer Medicine and University Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Introduction: Randomized phase III trials showed that using trifluridine/tipiracil (FTD/TPI) in patients with pre-treated metastatic colorectal cancer (mCRC) conferred survival benefit versus placebo. Here, we investigated the effectiveness and safety of FTD/TPI and sought to identify prognostic factors among the mCRC population in Hong Kong.
Methods: A non-interventional, retrospective, multicenter cohort study enrolled patients with mCRC who received FTD/TPI in seven public hospitals in Hong Kong between 2016 and 2020.
Back pain disability and PROMIS scores in children with hyperkyphosis are worse than children with idiopathic scoliosis.
Spine Deform
January 2025
Scottish Rite for Children, 2222 Welborn Street, Dallas, TX, 75219, USA.
Purpose: To compare health-related quality-of-life (HRQOL) between children with hyperkyphosis and idiopathic scoliosis using 9-item Oswestry Disability Index (ODI-9) and Patient Reported Outcome Measurement Information System (PROMIS) Pain Interference, Mobility, and Anxiety.
Methods: Children with hyperkyphosis, idiopathic scoliosis, and controls with no structural diagnosis ages 10-18 years who completed the PROMIS Pediatric Pain Interference, Mobility, and Anxiety domains were retrospectively evaluated from April 2021 to June 2023. Comparisons were made between hyperkyphosis, idiopathic scoliosis, and control groups.
Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.
Int J Cardiovasc Imaging
January 2025
Artificial Intelligence Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.
View Article and Find Full Text PDFEvaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases.
Eur Radiol Exp
January 2025
Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
Background: This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT).
Methods: Twenty-eight patients with verified pattern-based ILD diagnoses were split into two equal datasets (1 and 2). The images were assessed by two radiology residents (3rd and 5th year) and one expert radiologist in four sessions.
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