AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 161 to 170 of 4778 articles

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).
Liver Neoplasms Nomograms Contrast Media Infant Child, Preschool Child Hepatoblastoma Prognosis Retrospective Studies Tomography, X-Ray Computed Female Male Risk Assessment Humans
View on PubMed DOI

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 ...
Cerebral Hemorrhage Predictive Value of Tests Ischemic Stroke Radiomics Deep Learning Magnetic Resonance Imaging Humans Tomography, X-Ray Computed
View on PubMed DOI

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...
Humans Tomography, X-Ray Computed Female Femur Neck Middle Aged Bone and Bones Imaging, Three-Dimensional Spectrum Analysis, Raman
View on PubMed DOI

Lung cancer detection and classification using optimized CNN features and Squeeze-Inception-ResNeXt model.

Computational biology and chemistry Mar 25, 2025
Lung cancer, with its high mortality rate, is one of the deadliest diseases globally. The alarming increase in lung cancer deaths and its widespread prevalence have led to the development of various cancer control research and early detection methods...
Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Algorithms
View on PubMed DOI

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.
Lung Neoplasms Adenocarcinoma of Lung Male Middle Aged Risk Assessment Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Humans
View on PubMed DOI

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...
Tomography, X-Ray Computed Prevalence Stroke Humans Artificial Intelligence Brain Edema
View on PubMed DOI

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...
Magnetic Resonance Imaging Sarcoma Positron-Emission Tomography Humans Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

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.
Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Middle Aged Kidney Artificial Intelligence Tomography, X-Ray Computed Adipose Tissue Algorithms Adult Female Humans Retrospective Studies Radiomics Aged Neural Networks, Computer Male
View on PubMed DOI

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.
Reproducibility of Results Thoracic Vertebrae Lumbar Vertebrae Spinal Fractures Humans Prognosis Tomography, X-Ray Computed
View on PubMed DOI

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.
Adult Male Middle Aged Female Aged Aged, 80 and over Deep Learning Humans Rib Fractures Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI
Popular Topics
Recent Journals