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A rare case of double pituitary prolactinomas: the diagnostic application of intraoperative ultrasonography and DNA methylation markers.
Arch Endocrinol Metab
January 2025
Henry Ford Health Hermelin Brain Tumor Center Department of Neurosurgery DetroitMI USA Henry Ford Health, Omics Laboratory, Hermelin Brain Tumor Center, Department of Neurosurgery, Detroit, MI, USA.
The aim of this study is to describe the management and evolution of a patient with the rare condition of double lactotroph tumors and assess the role of intraoperative ultrasonography (IOUS) for their detection and methylation-based liquid biopsy for their diagnosis and monitoring. A 29-year-old woman diagnosed with double lactotroph tumors through hormonal and MRI workup underwent surgical resection due to cabergoline intolerance. To detect a tumor missing through visual inspection, IOUS was performed.
View Article and Find Full Text PDFEnhancement of the nontumor component in newly diagnosed glioblastoma as a more accurate predictor of local recurrence location: a multicenter study.
Quant Imaging Med Surg
January 2025
Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Background: Although the spatial heterogeneity of glioblastoma (GBM) can be clearly mapped by the habitats generated by magnetic resonance imaging (MRI), the means to accurately predicting the spatial location of local recurrence (SLLR) remains a significant challenge. The aim of this study was to identify the different degrees enhancement of GBM, including the nontumor component and tumor component, and determine their relationship with SLLR.
Methods: A retrospective analysis was performed from three tertiary medical centers, totaling 728 patients with 109 radiation-induced temporal lobe necrosis (TLN) of nasopharyngeal carcinoma (NPC) and 619 with GBM.
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 PDFDeep learning MRI models for the differential diagnosis of tumefactive demyelination versus -wildtype glioblastoma.
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology (GMC, MM, YN, BJE), Department of Quantitative Health Sciences (PAD, MLK, JEEP), Department of Neurology (CBM, JAS, MWR, FSG, HKP, DHL, WOT), Department of Neurosurgery (TCB), Department of Laboratory Medicine and Pathology (RBJ), and Center for Multiple Sclerosis and Autoimmune Neurology (WOT), Mayo Clinic, Rochester, MN, USA; Dell Medical School (MFE), University of Texas, Austin, TX, USA.
Background And Purpose: Diagnosis of tumefactive demyelination can be challenging. The diagnosis of indeterminate brain lesions on MRI often requires tissue confirmation via brain biopsy. Noninvasive methods for accurate diagnosis of tumor and non-tumor etiologies allows for tailored therapy, optimal tumor control, and a reduced risk of iatrogenic morbidity and mortality.
View Article and Find Full Text PDFF-FET PET/CT can aid in diagnosing patients with indeterminate MRI findings for brain tumors: a prospective study.
Ann Nucl Med
November 2024
Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, 970423, Taiwan.
Article Synopsis
- The study investigated the effectiveness of fluorine-18-labeled fluoroethyltyrosine PET/CT in diagnosing brain tumors in Asian patients, comparing it to another method (F-FDG PET/CT).
- A total of 33 patients were assessed, revealing that F-FET identified a higher percentage of true cases and showed better diagnostic accuracy and sensitivity compared to F-FDG.
- Key results indicated F-FET PET/CT had a sensitivity of 96.2% and accuracy of 93.9%, suggesting it might be a superior tool for detecting brain tumors and assessing glioma recurrence.
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