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BMC Medical Imaging
Scopus
ISSN 1471-2342 · BMC · 2.491 artikel di indeks
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Artikel Jurnal
Shear wave elastography as a reliable tool in the prediction of renal histopathological abnormalities
Abstract Background Chronic kidney disease (CKD) is a global health burden with irreversible progression and cardiovascular risk. Renal biopsy, while the gold standard for assessing kidney pathology, is invasive. Supersonic shear imaging (SSI) elastography is a promising non-invasive tool for…
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Artikel Jurnal
AI-based denoising improves image quality in HCC volume perfusion CT without affecting Milan classification
Abstract Background Noise and artifacts often compromise image quality and diagnostic accuracy in liver Volume Perfusion CT (VPCT), which can impact clinical decision-making in the diagnosis of hepatocellular carcinoma (HCC). AI-based denoising can potentially improve image quality in computed…
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Artikel Jurnal
Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2
Abstract Background Volumetric segmentation in CT and MRI is valuable for artificial intelligence workflows in radiology, yet creating the large, precisely annotated datasets required for training segmentation models remains laborious. Methods Here, we tested in simulation whether the foundation…
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Artikel Jurnal
Integrated motion-corrected extracellular volume fraction mapping reveals subtle extracellular remodeling in remote myocardium following chronic myocardial infarction
Abstract Background Emerging evidence indicates that diffuse fibrosis in remote myocardium contributes to post-infarction ventricular remodeling, yet conventional late gadolinium enhancement (LGE) lacks sensitivity for extracellular matrix (ECM) quantification. This study establishes a…
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Artikel Jurnal
Abdominal fat volume predicts bone mass reduction in women with metabolic syndrome: an energy spectral CT analysis
Abstract Objectives Metabolic syndrome (MetS) presents significant health risks, but studies on individual component of MetS or its combined impact on bone mass have shown conflicting results. Therefore, this study aimed to analyze the relationship between abdominal fat and bone mineral density…
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Artikel Jurnal
Buccal or palatal? AI-based localization of impacted maxillary canines using panoramic radiographs
Abstract Background Third-dimensional binary localization, determining whether impacted maxillary canines (IMCs) requiring surgical exposure lie buccally or palatally, is among the key parameters influencing the choice of surgical approach. In 30–50% of cases, the tooth is non-palpable…
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Artikel Jurnal
Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges
Abstract Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency and trustworthiness, as well as for developing AI-based diagnostic systems in medical imaging to achieve clinical acceptability and reliability. This synthesis aligns with the current context of XAI in medical…
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Artikel Jurnal
Gray matter atrophy mediated the association between glymphatic function and cognition in Alzheimer’s disease: a multicenter DTI-ALPS study
Abstract Background Although emerging evidence links glymphatic dysfunction to Alzheimer’s disease (AD), whether this association depends on structural brain changes remains unknown. In this study, we employed Diffusion Tensor Imaging Analysis along the Perivascular Space (DTI-ALPS) to assess the…
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Artikel Jurnal
Pre-treatment subventricular zone perfusion asymmetry predicts vertical recurrence in glioblastoma
Abstract Background The subventricular zone (SVZ) has been involved in glioblastoma (GBM) progression; however, the detection of mutated cells in the SVZ via imaging remains unclear. This study aimed to identify the detection of mutated stem cells in the SVZ using dynamic contrast-enhanced (DCE)…
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Artikel Jurnal
Validation of an AI model for pediatric myelin maturation age assessment and benefits for junior radiologists
Abstract Background Artificial intelligence (AI) demonstrates potential for estimating myelin maturation age from pediatric brain magnetic resonance imaging (MRI) scans. However, its generalizability across diverse clinical settings and performance in infants with delayed myelination remain…
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Artikel Jurnal
Effect of mandibular second premolar hypodontia on trabecular bone structure: a fractal analysis approach
Abstract Objective The aim of this study was to evaluate the trabecular structure of the alveolar bone in individuals with mandibular second premolar hypodontia using fractal analysis (FA) and to quantitatively determine the potential effects on local bone microarchitecture by comparing the results…
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Artikel Jurnal
Diffusion kurtosis imaging for detecting renal functional changes in glomerulonephritis: a longitudinal experimental study
Abstract Background Glomerulonephritis (GN) is a major contributor to chronic kidney disease, highlighting the need for reliable biomarker to monitor GN. This study aimed to evaluate the potential of diffusion kurtosis imaging (DKI) for dynamic assessment of renal injury in GN. Methods 90…
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Artikel Jurnal
Low muscle density on chest computed tomography is associated with early death in non–small cell lung cancer
Abstract Objective The aim of this study was to investigate the association of trunk muscle properties derived from chest computed tomography (CT) with worse posttreatment survival at different follow-up time intervals in patients with non–small cell lung cancer (NSCLC). Materials and methods This…
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Artikel Jurnal
Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study
Abstract Objective This study aimed to investigate the application of T2-based MRI delta-radiomics as a novel predictive tool for neoadjuvant chemotherapy (NACT) response in patients with osteosarcoma. Materials and methods We retrospectively analyzed data from 152 patients with pathologically…
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Artikel Jurnal
Exploration of prognostic prediction models for renal cell carcinoma using diffusion relaxation correlation spectroscopic imaging
Abstract Background The prognosis of renal cell carcinoma (RCC) varies greatly, and accurate prognostic stratification is crucial for optimizing clinical management. This study aims to evaluate the feasibility of predictive models based on diffusion relaxation correlation spectroscopic imaging…
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Artikel Jurnal
Noninvasive preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma based on dynamic contrast-enhanced MRI
Abstract Purpose The present study aimed to develop and validate a preoperative model based on Gd-DTPA-enhanced magnetic resonance imaging (MRI) and clinical factors for predicting perineural invasion (PNI) in patients with intrahepatic cholangiocarcinoma (ICC), enabling clinicians to perform more…
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Artikel Jurnal
Incremental prognostic value of pericoronary fat attenuation index in diabetic patients with non-obstructive coronary artery disease
Abstract Background Non-obstructive coronary artery disease (CAD) is highly prevalent in diabetic patients, yet there are currently limited evidence-based recommendations for risk stratification and management in this population. We aimed to investigate the additional prognostic value of…
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Artikel Jurnal
Bidirectional cortical gyrification alterations in chronic obstructive pulmonary disease: links to cognitive impairment and global initiative for chronic obstructive lung disease staging
Abstract Purpose Cognitive impairment is a common but poorly understood comorbidity in chronic obstructive pulmonary disease (COPD). Although gray matter abnormalities have been observed in this population, the contribution of cortical gyrification—a structural feature linked to cognitive…
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Artikel Jurnal
Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-18
Abstract Brain tumors, caused by rapid and uncontrolled cellular proliferation, pose significant health risks worldwide. Accurate and early classification of tumor types such as Glioblastoma, IDH-wildtype, grade 4, Meningioma, and Brain Metastasis is crucial for improving treatment outcomes. This…
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