To develop and validate a prognostic model integrating pretreatment MRI features and clinical characteristics for hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolization (TACE) and hepatic arterial infusion chemotherapy (HAIC) combined targeted immunotherapy (TII). A weighted scoring system was developed to improve the model’s clinical utility.
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Pelvic floor dysfunction: Anatomical characterization and functional imaging with MRI defecography
Pelvic floor dysfunction (PFD) is a common condition, affecting about 50 % of women in Western countries [1,2]. Clinical symptoms, including urinary and fecal incontinence and pelvic organ prolapse (POP), considerably impair quality of life [3]. The Pelvic Organ Prolapse Quantification (POP-Q) system provides a methodical framework for evaluating pelvic organ support and is endorsed by leading global organizations [4,5].
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Comparison of central FLAIR hypointensity and central vein sign on FLAIR* in a diagnostic cohort
The central vein sign (CVS) is a neuroimaging biomarker in multiple sclerosis (MS) reflecting perivenular demyelination on pathology [1,2]. When standard T2-weighted (T2w) sequences are combined with susceptibility-sensitive MRI techniques, it is possible to visualize both the central vein and the T2w hyperintense lesions characteristic for MS. Techniques such as the FLAIR* enable concurrent visualization of the T2w hyperintense lesions and veins employing 3D T2w FLAIR and T2*-weighted (T2*w) 3D…
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Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT
With technological advancements over the past decades, CT has become an indispensable tool for diagnosing and managing diverse diseases. Despite its tremendous contribution to modern medical practice, the widespread use of CT has raised concerns about the potential adverse effects of ionizing radiation exposure in the radiosensitive children [1], making it imperative to optimize radiation dosesin pediatric CT. Additionally, reducing slice thickness is necessary for detailed evaluations of small …
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A CT-based radiomics model for classification of chronic pancreatitis: new biomarkers for diagnosis and severity staging
Chronic pancreatitis (CP) is an inflammatory disease characterized by progressive and irreversible damage to the pancreas. It imposes a significant burden on patients and healthcare systems due to severe complications, including persistent abdominal pain, diabetes, and exocrine pancreatic insufficiency (EPI) [1,2]. Modern pathophysiology models, especially mechanistic framework suggested by Whitcomb et al., depict CP as a dynamic continuum that starts with a single episode of acute pancreatitis,…
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Automated 3D body composition analysis on chest CT scans for survival prediction in high-grade extremity soft tissue sarcomas
High-grade soft tissue sarcomas (STShg) of the extremities are rare cancers with a poor prognosis. Accurate staging at initial evaluation is crucial for determining optimal treatment. Current guidelines recommend systematic chest computed tomography (CT) scans during initial assessment. Recent advances in artificial intelligence (AI)-based imaging software now enable automatic, rapid volumetric assessment of body composition from CT scans. Our study aims to evaluate the predictive role of body c…
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Transvaginal ultrasound for deep endometriosis: Prospective validation of SRU criteria and diagnostic value of indirect signs
The SRU consensus on pelvic ultrasound proposed standardized augmented ultrasound, but its validity and indirect signs’ role require validation. This study will explore the application value of this consensus in deep endometriosis.
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Dual-energy computed tomography angiography for lenticulostriate arteries: Stepwise optimization of virtual monochromatic imaging and kernel setting
Cerebral perforating arteries are classically described as end‑arteries supplying the deep brain structures, among which the lenticulostriate arteries (LSAs) are the most clinically significant subgroup [1,2]. These vessels originate from the middle cerebral artery and supply the basal ganglia and corona radiata, regions critical for motor and cognitive functions [1,3]. Infarctions involving the LSAs contribute to the onset and progression of cerebral small vessel disease and intracranial athero…
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Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors
Differentiating sinonasal small round cell malignant tumors (SRCMTs) from non-SRCMTs is challenging due to overlapping MRI features. This study aimed to compare the diagnostic performance of deep learning and radiomics models for preoperative MRI-based classification.
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Letter to Editor: Correlation between MRI-derived and biopsy-confirmed liver iron concentration in patients with chronic liver disease
We comment on Ba-Ssalamah et al.’s study comparing MRI-derived and biopsy-confirmed liver iron concentration in chronic liver disease. The strong agreement between two R2*-based methods supports the robustness of relaxometry-based LIC estimation in the low–mild iron range. We discuss physics-related considerations, including R2* nonlinearity, spatial sampling, signal modeling, and calibration dependence, and outline future directions toward volumetric mapping and cross-platform harmonization for…