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Analysis of FLAIR MRI sequences is gaining momentum in brain maturation studies, and this study aimed to establish normative developmental curves for FLAIR texture biomarkers in the paediatric brain. A retrospective, single-centre dataset of 465/512 healthy paediatric FLAIR volumes was used, with one pathological volume for proof-of-concept. Participants were included if the MRI was unremarkable as determined by a neuroradiologist. An automated intensity normalization algorithm was used to standardize FLAIR signal intensity across MRI scanners and individuals. FLAIR texture biomarkers were extracted from grey matter (GM), white matter (WM), deep GM, and cortical GM regions. Sex-specific percentile curves were reported and modelled for each tissue type. Correlations between texture and established biomarkers including intensity volume were examined. Biomarkers from the pathological volume were extracted to demonstrate clinical utility of normative curves. This study analyzed 465 FLAIR sequences in children and adolescents (mean age 10.65 ± 4.22 years, range 2-19 years, 220 males, 245 females). In the WM, texture increased to a maximum at around 8 to 10 years, with different trends between females and males in adolescence. In the GM, texture increased over the age range while demonstrating a local maximum at 8 to 10 years. Texture had an inverse relationship with intensity in the WM across all ages. WM and edema in a pathological brain exhibited abnormal texture values outside of the normative growth curves. Normative curves for texture biomarkers in FLAIR sequences may be used to assess brain maturation and microstructural changes over the paediatric age range.
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http://dx.doi.org/10.1177/08465371241262175 | DOI Listing |
J Food Sci Technol
October 2025
Food Quality Control Laboratory, ICAR-National Research Centre on Pig, Rani, Guwahati, Assam, 781131 India.
Biomarkers are important tools in almost every biological field, serving as means of understanding biological conditions, responses or processes. Although, applicability and importance of biomarkers in medicine and food are extensively studied and reported in literature, this review will emphasize on biomarkers associated with food and foods of animal origin like meat, fish, milk and egg. Evaluation of quality, safety and adulteration of food commodities is of the utmost importance with the ever-increasing global demand.
View Article and Find Full Text PDFJ Neurosurg
September 2025
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Objective: In this retrospective study, authors aimed to evaluate the glymphatic function alterations associated with glioma and explore the prognostic value of these alterations by calculating the index for diffusivity along the perivascular space (ALPS index).
Methods: The authors utilized data from the publicly available University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) dataset, which includes 501 adult patients with histopathologically confirmed diffuse glioma, per the 2021 WHO classification, who underwent preoperative MRI, initial tumor resection, and tumor genetic testing at a single medical center from 2015 to 2021.The ALPS index was calculated from diffusivity maps for noninvasive glymphatic system (GS) analysis.
Eye Vis (Lond)
September 2025
Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.
Background: Diabetic retinopathy (DR) is often diagnosed many years after diabetes onset, highlighting the need for early diagnosis. The current study aimed to assess whether texture analysis of computed optical coherence tomography (OCT) retinal images can identify (very) early retinal changes. We previously reported retinal texture changes in a type 1 diabetes animal model.
View Article and Find Full Text PDFDiagnostics (Basel)
August 2025
Radiology Department, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19146, USA.
Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics-a novel, non-invasive, and quantitative image analysis method-for distinguishing AKI from CKD in pediatric patients.
View Article and Find Full Text PDFBioengineering (Basel)
July 2025
Division of Radiation Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Radiomics is the extraction of non-invasive and reproducible quantitative imaging features, which may yield mineable information for clinical practice implementation. Quantification of lung function through radiomics could play a role in the management of patients with pulmonary lesions. The aim of this study is to test the capability of radiomic features to predict pulmonary function parameters, focusing on the diffusing capacity of lungs to carbon monoxide (DL).
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