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Background And Purpose: The study of T2-weighted hyperintense lesions resulting from autoimmune inflammatory injury and associated volumes within the CNS remains fundamental to the diagnosis and disease surveillance of MS. We investigated the dynamic changes of individual T2-weighted hyperintense MS lesions on MRI and hypothesized that variations may be present below the threshold of visual perception when evaluating longitudinal data.
Materials And Methods: A retrospective study was performed of people with MS, incorporating data from 3 consecutive MRI time points acquired within a single academic center. All included MRI studies lacked formal imaging interpretations of newly enlarging or contracting T2-weighted hyperintensities. Well-defined, noncoalescing, individual T2-weighted hyperintense lesions were targeted. A total of 8-12 lesions were randomly selected in a blinded fashion at MRI time point 1 and 3D lesion volumes were followed over MRI time points 2 and 3. The impact of treatment on lesion expansion and relationship to brain MRI advancement, patient-reported progression of disease, and physician-identified progression was also studied.
Results: The study cohort comprised 115 people (81 (70.4%) women; mean disease duration of 9.36 years [standard deviation: 7.72 years]) who were primarily White (79.1%). A total of 1426 focal T2-weighted hyperintense MS lesions were identified on MRI time point 1 and longitudinally followed over MRI time points 2 and 3. In the evaluation of raw changes in individual T2-weighted hyperintense lesion volumes from MRI time point 1 to MRI time point 2, a similar number of individuals were observed with predominantly expanding (49/115; 42.6%) or contracting (51/115; 44.3%) lesions. However, most lesions expanded in volume (48/115; 41.7%) versus those that contracted (45/115; 39.1%) when evaluating MRI time point 3 to time point 1. Those individuals not on active treatment had a 67.15% reduction in the odds of more individual lesions predominantly contracting in volume relative to those on low-efficacy disease modifying therapy treatment (95% CI = [-83.89% to -33.01%], = .0008) and 74.02% reduction relative to high-efficacy treatment individuals (95% CI = [-87.37% to -46.56%], < .0001).
Conclusions: Dynamic changes in T2-weighted hyperintense lesions are abundant, occurring below the threshold of visual perception and are present more frequently in untreated individuals.
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http://dx.doi.org/10.3174/ajnr.A8453 | DOI Listing |
Acad Radiol
September 2025
Department of Radiology, Başakşehir Çam and Sakura City Hospital, Istanbul, Turkey (E.E.).
Purpose: This study aimed to evaluate the performance of ChatGPT (GPT-4o) in interpreting free-text breast magnetic resonance imaging (MRI) reports by assigning BI-RADS categories and recommending appropriate clinical management steps in the absence of explicitly stated BI-RADS classifications.
Methods: In this retrospective, single-center study, a total of 352 documented full-text breast MRI reports of at least one identifiable breast lesion with descriptive imaging findings between January 2024 and June 2025 were included in the study. Incomplete reports due to technical limitations, reports describing only normal findings, and MRI examinations performed at external institutions were excluded from the study.
Neuroimage
September 2025
The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China; Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, University of Electronic
Functional magnetic resonance imaging (fMRI) opens a window on observing spontaneous activities of the human brain in vivo. However, the high complexity of fMRI signals makes brain functional representations intractable. Here, we introduce a state decomposition method to reduce this complexity and decipher individual brain functions at multiple levels.
View Article and Find Full Text PDFAnn Anat
September 2025
Department of Anatomy, School of Medicine, Faculty of Health Sciences, National and Kapodistrian University of Athens, Greece; "VARIANTIS" Research Laboratory, Department of Clinical Anatomy, Mazovian Academy in Plock, Poland.
Background: The vertebral artery (VA) undergoes a critical anatomical transition as it pierces the dura mater at the craniocervical junction. Precise knowledge of dural penetration patterns and angulation is essential for diagnostic imaging, neurosurgical planning, and minimizing iatrogenic risk in posterior fossa procedures.
Methods: This retrospective imaging study evaluated 100 adult patients who underwent 1.
Clinics (Sao Paulo)
September 2025
Department of Physiological Sciences, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.
Background: Endometriosis diagnosis is challenging due to non-specific symptoms that overlap with other gynaecological conditions. This study proposes a non-invasive Machine Learning (ML) ‒ based urine test using Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) spectroscopy for rapid, high-throughput screening.
Methods: A total of 302 symptomatic patients presenting with pelvic pain and MRI referral indications were recruited.
J Neuroradiol
September 2025
Department of Diagnostic and Interventional Neuroradiology, Tours University Hospital, Tours, France; Department of Clinical Neurosciences and Diagnostic Imaging, University of Calgary, AB, Canada; Imaging Brain & Neuropsychiatry, iBrain U1253, INSERM, University of Tours, Tours, France. Electronic
Background: Selection of acute stroke patients for endovascular thrombectomy (EVT) within 6 h from symptom onset can be done using MRI or CT. However, association of either imaging modality with better clinical outcomes or shorter workflow times is still not fully understood.
Methods: We searched Medline and Ovid-Embase for studies comparing outcomes and workflow metrics between patients selected for EVT using CT or MRI from inception to November 30, 2024.