Although susceptibility-weighted imaging (SWI) studies have suggested an increased number of microhemorrhages in concussion, most show no significant differences compared with controls. There have been mixed results on using SWI to predict neurologic outcomes. Drawbacks include inability to time microhemorrhages and difficulty in attributing them to the concussion. Magnetic resonance spectroscopy (MRS) in concussion can identify metabolic abnormalities, with many studies showing correlations with clinical outcome. Applications in individual patients are impeded by conflicting data and lack of consensus on an optimal protocol. Therefore, currently MRS has most utility in group-level comparisons designed to reveal the pathophysiology of concussion.
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http://dx.doi.org/10.1016/j.nic.2017.09.007 | DOI Listing |
Acad Radiol
January 2025
Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan (T.W.L., C.H.W.); Center of Minimal-Invasive Interventional Radiology, National Taiwan University Hospital, Taipei, Taiwan (C.H.W.); Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan (C.H.W.). Electronic address:
Rationale And Objectives: Individuals with autosomal dominant polycystic kidney disease (ADPKD) can present with diverse renal and extra-renal manifestations. Large vessel anomalies, such as cerebral aneurysms, are potentially fatal extra-renal manifestations. However, limited research has been conducted on cerebral small vessel disease (CSVD).
View Article and Find Full Text PDFNMR Biomed
March 2025
Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
In clinical practice, particularly in neurology assessments, imaging multiparametric MR images with a single-sequence scan is often limited by either insufficient imaging contrast or the constraints of accelerated imaging techniques. A novel single scan 3D imaging method, incorporating Wave-CAIPI and MULTIPLEX technologies and named WAMP, has been developed for rapid and comprehensive parametric imaging in clinical diagnostic applications. Featuring a hybrid design that includes wave encoding, the CAIPIRINHA sampling pattern, dual time of repetition (TR), dual flip angle (FA), multiecho, and optional flow modulation, the WAMP method captures information on RF B1t fields, proton density (PD), T1, susceptibility, and blood flow.
View Article and Find Full Text PDFActa Neurochir (Wien)
January 2025
Department of Neurosurgery and Neurooncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland.
Background: The internal venous system of the brain is a crucial anatomical landmark during accesses to the third ventricle through the foramen of Monro. Many classifications based on radiological assessment of the system have been developed, but they tend to be descriptive and do not highlight favorable anatomical variants. The aim of our study was to create a system based on morphometric measurements to facilitate preoperative decision-making regarding access to third ventricle tumors.
View Article and Find Full Text PDFPurpose: Undifferentiated pleomorphic sarcomas (UPSs) demonstrate therapy-induced hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. We aimed to determine the treatment-assessment value of morphologic tumoral hemorrhage patterns and first- and high-order radiomic features extracted from contrast-enhanced susceptibility-weighted imaging (CE-SWI).
Materials And Methods: This retrospective institutional review board-authorized study included 33 patients with extremity UPS with magnetic resonance imaging and resection performed from February 2021 to May 2023.
Transl Cancer Res
December 2024
Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Background: The pathological sub-classification of lung cancer is crucial in diagnosis, treatment and prognosis for patients. Quick and timely identification of pathological subtypes from imaging examinations rather than histological tests could help guiding therapeutic strategies. The aim of the study is to construct a non-invasive radiomics-based model for predicting the subtypes of lung cancer on brain metastases (BMs) from multiple magnetic resonance imaging (MRI) sequences.
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