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Purpose: This study was designed to assess the computed tomography maximum (CTmax) value on pretherapeutic arterial phase computed tomography (APCT) images to predict pancreatic neuroendocrine tumours (pNETs) recurrence and clarify its role in predicting the outcome of tumour therapy.
Methods: This retrospective study enrolled 250 surgical patients and 24 nonsurgical patients with sunitinib-based treatment in our hospital from 2008 to 2019. CT images were assessed, the maximum value was defined as "CTmax," and recurrence-free survival (RFS) or progression-free survival (PFS) was compared between a high-CTmax group and a low-CTmax group among patients who underwent surgical resection or nonsurgical, sunitinib-based treatment according to the CTmax cutoff value.
Results: In ROC curve analysis, a CTmax of 108 Hounsfield units, as the cutoff value, achieved an AUC of 0.796 in predicting recurrence. Compared with the low-CTmax group, the high-CTmax group had a longer RFS (p < 0.001). Low CTmax was identified as an independent factor for RFS (p < 0.001) in multivariate analysis; these results were confirmed using the internal validation set. The CTmax value was significantly correlated with the microvascular density (MVD) value (p < 0.001) and the vascular endothelial growth factor receptor 2 (VEGFR2) score (p < 0.001). Furthermore, the high-CTmax group had a better PFS than the low-CTmax group among the sunitinib treatment group (p = 0.007).
Conclusions: The tumour CTmax on APCT might be a potential and independent indicator for predicting recurrence in patients who have undergone surgical resection and assessing the efficacy of sunitinib for patients with advanced metastatic pNETs.
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http://dx.doi.org/10.1245/s10434-022-12693-9 | DOI Listing |
JAMA Neurol
September 2025
Department of Radiology, University of Washington, Seattle.
Importance: Recent longitudinal studies in patients with unruptured intracranial aneurysms (UIAs) suggested that aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) predicts growth and rupture. However, because these studies were limited by small sample size and short follow-up duration, it remains unclear whether this radiological biomarker has predictive value for UIA instability.
Objective: To determine the 4-year risk of instability of UIAs with AWE and investigate whether AWE is an independent predictor of UIA instability.
J Child Neurol
September 2025
Department of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA.
Mass psychogenic illness (MPI), also known as mass sociogenic illness, is a functional neurologic symptom disorder affecting multiple people simultaneously. This study presents a pediatric MPI outbreak involving abrupt-onset tics in LeRoy, NY, during 2011-2012. The analysis provides diagnostic evidence and highlights challenges with diagnosing MPI.
View Article and Find Full Text PDFJACC Cardiovasc Imaging
September 2025
Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
Background: Coronary computed tomography angiography (CTA)-derived plaque burden is associated with the risk of cardiovascular events and is expected to be used in clinical practice. Understanding the normative values of computed tomography-based quantitative plaque volume in the general population is clinically important for determining patient management.
Objectives: This study aimed to investigate the distribution of plaque volume in the general population and to develop nomograms using MiHEART (Miami Heart Study) at Baptist Health South Florida, a large community-based cohort study.
ACS Sens
September 2025
Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, Guangxi 530021, China.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder primarily characterized by cognitive decline and behavioral impairments, typically manifesting in the elderly and presenile population. With the rapid global aging trend, early diagnosis and treatment of AD have become increasingly urgent research priorities. The primary pathological features of AD include excessive accumulation of β-amyloid (Aβ) plaques, the formation of neurofibrillary tangles, and neuronal loss.
View Article and Find Full Text PDFJ Thorac Imaging
September 2025
Department of Radiology, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University.
Purpose: To establish an explainable machine learning (ML) approach using patient-related and noncontrast chest CT-derived features to predict the contrast material arrival time (TARR) in CT pulmonary angiography (CTPA).
Materials And Methods: This retrospective study included consecutive patients referred for CTPA between September 2023 to October 2024. Sixteen clinical and 17 chest CT-derived parameters were used as inputs for the ML approach, which employed recursive feature elimination for feature selection and XGBoost with SHapley Additive exPlanations (SHAP) for explainable modeling.