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http://dx.doi.org/10.1159/000342759 | DOI Listing |
An assessment scheme is proposed to evaluate GBM gross tumor core and T2-FLAIR hyper-intensity segmentations on preoperative multicentric MR images as a function of tumor morphology and MRI characteristics. 74 gross tumor core and T2-FLAIR hyper-intensity BraTS-Toolkit and DeepBraTumIA automatic segmentations, and 42 gross tumor core neurosurgeon manual segmentations were accordingly evaluated. Brats-Toolkit and DeepBraTumIA generally provide accurate segmentations, particularly for the most common round-shaped or well-demarked tumors, where: (1) gross tumor segmentation correctly includes necrosis and contrast enhanced tumor in 100% and 97.
View Article and Find Full Text PDFTransl 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.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
January 2025
From the Department of Radiology (S.TN., J.C.B., G.B., P.J.F., J.I.L.), and Department of Otolaryngology-Head and Neck Surgery and Neurologic Surgery (M.L.C., M.J.L.), Mayo Clinic, Rochester, Minnesota, USA.
Background And Purpose: Prior investigations have noted the presence of peritumoral hyperintense signal (a "halo") around vestibular schwannomas on postcontrast 3D T2 FLAIR images. This study evaluated this phenomenon in a cohort of patients undergoing stereotactic radiosurgery.
Materials And Methods: A retrospective review was completed of consecutive patients with presumed vestibular schwannomas undergoing stereotactic radiosurgery.
J Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
J Korean Neurosurg Soc
January 2025
Department of Neurosurgery, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea.
Objective: The leptomeningeal ivy sign is a distinctive finding of moyamoya disease (MMD), characterized by a linear high signal intensity along the cortical sulci on contrast-enhanced T1 magnetic resonance imaging (MRI) and fluid-attenuated inversion-recovery MRI. We recently identified a similar linear enhancement along the cortical sulci using gadolinium-enhanced vessel wall MRI (VWMR) in patients with MMD. The aim of this study was to introduce the concept of the "VWMR ivy sign (VIS)".
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