AIMC Topic: Tomography, X-Ray Computed

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A Novel Visual Model for Predicting Prognosis of Resected Hepatoblastoma: A Multicenter Study.

Academic radiology Mar 26, 2025
RATIONALE AND OBJECTIVES: This study aimed to evaluate the application of a contrast-enhanced CT-based visual model in predicting postoperative prognosis in patients with hepatoblastoma (HB).
Contrast Media Hepatoblastoma Child Liver Neoplasms Nomograms Risk Assessment Infant Child, Preschool Humans Prognosis Female Male Retrospective Studies Tomography, X-Ray Computed
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Predicting hemorrhagic transformation in acute ischemic stroke: a systematic review, meta-analysis, and methodological quality assessment of CT/MRI-based deep learning and radiomics models.

Emergency radiology Mar 26, 2025
Acute ischemic stroke (AIS) is a major cause of mortality and morbidity, with hemorrhagic transformation (HT) as a severe complication. Accurate prediction of HT is essential for optimizing treatment strategies. This review assesses the accuracy and ...
Humans Magnetic Resonance Imaging Predictive Value of Tests Tomography, X-Ray Computed Cerebral Hemorrhage Ischemic Stroke Radiomics Deep Learning
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Human bone ultrastructure in 3D: Multimodal correlative study combining nanoscale X-ray computed tomography and quantitative polarized Raman spectroscopy.

Acta biomaterialia Mar 26, 2025
Unique mechanical properties of cortical bone are defined by the arrangement and ratio of its organic and inorganic constituents. This arrangement can be influenced by ageing and disease, urging the understanding of normal and deviant morphological p...
Femur Neck Bone and Bones Middle Aged Imaging, Three-Dimensional Spectrum Analysis, Raman Humans Tomography, X-Ray Computed Female
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Artificial intelligence in dysphagia assessment: evaluating lingual muscle composition in head and neck cancer.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Mar 25, 2025
PURPOSE: Oropharyngeal dysphagia is a common and debilitating condition in head and neck cancer (HNC) patients. This study aimed to evaluate the relationship between tongue muscle composition (quantity and quality) and the risk of dysphagia in non-su...
Female Aged Adult Artificial Intelligence Prospective Studies Tomography, X-Ray Computed Muscle, Skeletal Body Composition Tongue Deglutition Disorders Humans Male Middle Aged Head and Neck Neoplasms
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Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis.

Academic radiology Mar 25, 2025
BACKGROUND: Accurate preoperative prediction of spread through air spaces (STAS) in primary lung adenocarcinoma (LUAD) is critical for optimizing surgical strategies and improving patient outcomes.
Humans Tomography, X-Ray Computed Female Machine Learning Retrospective Studies Adenocarcinoma of Lung Middle Aged Risk Assessment Aged Lung Neoplasms Sensitivity and Specificity Male
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Predictive power of artificial intelligence for malignant cerebral edema in stroke patients: a CT-based systematic review and meta-analysis of prevalence and diagnostic performance.

Neurosurgical review Mar 25, 2025
Malignant cerebral edema (MCE) is a severe complication of acute ischemic stroke, with high mortality rates. Early and accurate prediction of MCE is critical for initiating timely interventions such as decompressive hemicraniectomy. Artificial intell...
Stroke Humans Brain Edema Artificial Intelligence Tomography, X-Ray Computed Prevalence
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Optimizing imaging modalities for sarcoma subtypes in radiation therapy: State of the art.

Critical reviews in oncology/hematology Mar 24, 2025
The choice of imaging modalities is essential in sarcoma management, as different techniques provide complementary information depending on tumor subtype and anatomical location. This narrative review examines the role of imaging in sarcoma character...
Radiotherapy Planning, Computer-Assisted Humans Sarcoma Positron-Emission Tomography Tomography, X-Ray Computed Magnetic Resonance Imaging
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Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery.

Academic radiology Mar 24, 2025
RATIONALE AND OBJECTIVES: To quantitatively characterize the degree of perirenal fat adhesion using artificial intelligence in renal cell carcinoma.
Artificial Intelligence Algorithms Retrospective Studies Humans Neural Networks, Computer Adult Radiomics Male Middle Aged Tomography, X-Ray Computed Female Aged Kidney Kidney Neoplasms Adipose Tissue Carcinoma, Renal Cell Radiographic Image Interpretation, Computer-Assisted
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Toward Identifying and Resolving the Challenges to the Prognostic Validation of the Classifications for Thoracolumbar Burst Fractures: A Narrative Review.

Clinical spine surgery Mar 24, 2025
OBJECTIVE: To review the historical thoracolumbar burst fractures (TLBFs) classifications and discuss the probable gaps for their clinical validation.
Prognosis Tomography, X-Ray Computed Reproducibility of Results Humans Spinal Fractures Thoracic Vertebrae Lumbar Vertebrae
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Intelligent detection and grading diagnosis of fresh rib fractures based on deep learning.

BMC medical imaging Mar 24, 2025
BACKGROUND: Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity of rib structures on CT images.
Aged, 80 and over Middle Aged Humans Tomography, X-Ray Computed Deep Learning Adult Rib Fractures Female Male Retrospective Studies Aged
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