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http://dx.doi.org/10.1038/s41436-021-01217-7 | DOI Listing |
Neuro Oncol
September 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Background: Disruption of the blood-brain barrier (BBB) in high-grade brain tumors is characterized by contrast accumulation on diagnostic imaging. This window of opportunity study correlates contrast imaging features with the tumor distribution of BBB-permeable (levetiracetam) and -impermeable (cefazolin) drugs.
Methods: Patients with a clinical diagnosis of a high-grade brain tumor underwent MRI for surgical planning.
Curr Alzheimer Res
September 2025
Department of Neurology, the Wuxi No. 2 People's Hospital, Jiangnan University Medical Center, Wuxi, Jiangsu Province, China.
Introduction: The complement receptor 1 (CR1) gene is identified as the one closely associated with Alzheimer's disease (AD). However, there has been no exploration of the imaging alterations associated with the CR1 gene in AD patients of the Han population. The purpose of this study is to investigate the association between the rs6656401 mutation and neuroimaging variations in Han AD patients.
View Article and Find Full Text PDFSignal Transduct Target Ther
September 2025
State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
Purpose: This study aims to validate the usefulness of T10-pelvic angle (T10PA) in predicting pelvic tilt (PT) restoration, proximal junctional kyphosis (PJK) development, and clinical outcomes after adult spinal deformity (ASD) surgery.
Methods: This retrospective study included 213 ASD patients who underwent fusion from the lower thoracic spine (T9 or T10) to the pelvis. T10PA was measured on 6-week postoperative radiographs as the angle between the center of T10 and the hip center, and from the hip center to the midpoint of the S1 upper endplate.
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.