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Objectives: The aim of this study was to describe the imaging features on dynamic CT and MRI of a series of pathologically confirmed low-grade vascular neoplasia of the liver (LGVNL).
Materials And Methods: In this retrospective multicenter study, patients diagnosed with pathologically proven LGVNL between January 2014 and August 2024 and with cross-sectional imaging (CT or MRI) were included. Based on prior studies, we divided the patients into two groups: a group with typical LGVNL features and a group with atypical tumors. Univariable analysis and the logistic regression model were used to evaluate the outcome of typical and atypical LGVNL features.
Results: Twenty-eight patients were included (20 men, mean age 53.7 ± 13.4 [SD] years old). The median size of tumors at diagnosis was 22 mm [IQR, 10-80]. A typical LGVNL pattern including thick continuous peripheral arterial phase "flower petal shape" enhancement was found on MRI in 67% (18/27) with lobulated lesions (p = 0.001), a marked hypersignal on T2-weighted images (p = 0.003) and a high apparent diffusion coefficient (ADC) (mean tumor ADC, 2.1 × 10 ± 0.3 [SD] mm/s) (p = 0.006) with portal and delayed phase filling following contrast administration. An atypical LGVNL pattern was found in 33% (9/27), including homogeneous arterial phase enhancement that persisted during the portal and delayed phases. After a median follow-up of 16 months, tumor growth was observed in 42% (8/19) and was faster in patients with the atypical LGVNL pattern (p = 0.013).
Conclusion: The typical imaging pattern of LGVNL that includes arterial phase "flower petal shape" enhancement with a marked hypersignal on T2-weighted images and a high ADC was seen in most cases.
Key Points: Question Low-grade vascular neoplasia of the liver, including hepatic small vessel neoplasms and anastomosing hemangioma, is a new entity of vascular tumors with few radiological descriptions. Findings Diagnostic imaging criteria include the "flower petal shape" enhancement pattern on arterial phase, a marked hypersignal on T2-weighted images and high ADC values. Clinical relevance This multicenter study provides clinical, pathological and imaging data on low-grade vascular neoplasia of the liver and highlights specific imaging features for its diagnosis. Knowledge of these imaging features helps eliminate differential diagnoses.
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http://dx.doi.org/10.1007/s00330-025-11915-4 | DOI Listing |
Radiol Med
September 2025
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Metastatic involvement (MB) of the breast from extramammary malignancies is rare, with an incidence of 0.09-1.3% of all breast malignancies.
View Article and Find Full Text PDFJ Neuromuscul Dis
September 2025
Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.
Background: Electrical impedance myography (EIM) has been proposed as an efficient, non-invasive biomarker of muscle composition in facioscapulohumeral muscular dystrophy (FSHD).
Objective: We investigate whether EIM parameters are associated with muscle structure measured by magnetic resonance imaging (MRI), muscle histology, and transcriptomic analysis as well as strength at the individual leg muscle level.
Methods: We performed a multi-center cross-sectional study enrolling 33 patients with FSHD.
Neuroradiology
September 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purpose: To develop and validate an integrated model based on MR high-resolution vessel wall imaging (HR-VWI) radiomics and clinical features to preoperatively assess periprocedural complications (PC) risk in patients with intracranial atherosclerotic disease (ICAD) undergoing percutaneous transluminal angioplasty and stenting (PTAS).
Methods: This multicenter retrospective study enrolled 601 PTAS patients (PC+, n = 84; PC -, n = 517) from three centers. Patients were divided into training (n = 336), validation (n = 144), and test (n = 121) cohorts.
J Ultrasound Med
September 2025
Department of Ultrasound, Donghai Hospital Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Objective: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics (DLRN) features derived from ultrasound and multi-sequence magnetic resonance imaging (MRI) for predicting survival, recurrence, and metastasis in patients diagnosed with triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC).
Methods: This retrospective, multicenter study included 103 patients with histopathologically confirmed TNBC across four institutions. The training group comprised 72 cases from the First People's Hospital of Lianyungang, while the validation group included 31 cases from three external centers.
Technol Cancer Res Treat
September 2025
Department of Nephrology, Dongyang People's Hospital, Dongyang, China.
ObjectiveTo evaluate the diagnostic performance of a combined model incorporating ultrasound video-based radiomics features and clinical variables for distinguishing between benign and malignant breast lesions.MethodsA total of 346 patients (173 benign and 173 malignant) were retrospectively enrolled. Breast ultrasound videos were acquired and processed using semi-automatic segmentation in 3D Slicer.
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