AIMC Topic: Tomography, X-Ray Computed

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A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.

BMC medical imaging May 1, 2025
BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal gland segmentation on non-con...
Humans Young Adult Adult Adolescent Male Radiographic Image Interpretation, Computer-Assisted Algorithms Middle Aged Observer Variation Deep Learning Adrenal Glands Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer.

JAMA network open May 1, 2025
IMPORTANCE: Primary tumor (PT) and metastatic cervical lymph node (LN) characteristics are highly associated with oropharyngeal squamous cell carcinoma (OPSCC) prognosis. Currently, there is a lack of studies to combine imaging characteristics of bot...
Aged Male Middle Aged Deep Learning Lymph Nodes Neck Humans Lymphatic Metastasis Prognosis Chemoradiotherapy Retrospective Studies Oropharyngeal Neoplasms Tomography, X-Ray Computed Female
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A deep learning-based clinical-radiomics model predicting the treatment response of immune checkpoint inhibitors (ICIs)-based conversion therapy in potentially convertible hepatocelluar carcinoma patients: a tumor marker prognostic study.

International journal of surgery (London, England) May 1, 2025
BACKGROUND: The majority of patients with hepatocellular carcinoma (HCC) miss the opportunity of radical resection, making immune check-point inhibitors (ICIs)-based conversion therapy a primary option. However, challenges persist in predicting respo...
Treatment Outcome Female Aged Radiomics Biomarkers, Tumor Middle Aged Male Humans Deep Learning Prognosis Liver Neoplasms Tomography, X-Ray Computed Carcinoma, Hepatocellular Immune Checkpoint Inhibitors
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Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging May 1, 2025
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.
Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Photons Aged Machine Learning Humans Adult Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female Lung
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Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

Journal of thoracic imaging May 1, 2025
PURPOSE: This study was designed to construct progressive binary classification models based on radiomics and deep learning to predict the presence of epidermal growth factor receptor ( EGFR ) and TP53 mutations and to assess the models' capacities t...
ErbB Receptors Adenocarcinoma of Lung Lung Deep Learning Lung Neoplasms Humans Mutation Retrospective Studies Tumor Suppressor Protein p53 Tomography, X-Ray Computed Sensitivity and Specificity Female Radiomics Reproducibility of Results Male Aged Middle Aged Adult
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Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Lung Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Thoracic Humans Algorithms Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Female Reproducibility of Results Aged Aged, 80 and over Adult Humans Machine Learning Neoplasm Grading Sensitivity and Specificity Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiomics Kidney Neoplasms Male Carcinoma, Renal Cell Middle Aged Boosting Machine Learning Algorithms Contrast Media
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Development and validation of a novel chronic pancreatitis pathological grade based on artificial intelligence.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Apr 29, 2025
BACKGROUND: Effective chronic pancreatitis (CP) treatment requires accurate severity evaluation, but no histopathology grading system exists. This study aimed to develop and validate a novel CP pathological grade (Histopathology-derived CPpG) using q...
Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Humans Artificial Intelligence Pancreas Pancreatitis, Chronic Male Middle Aged Severity of Illness Index Deep Learning
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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

Journal of translational medicine Apr 29, 2025
BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patients with epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma. However, not all patients with EGFR mutations respond to TKIs. This study...
Mutation Aged Molecular Targeted Therapy Male ErbB Receptors Humans Protein Kinase Inhibitors Middle Aged Retrospective Studies Adenocarcinoma of Lung Deep Learning Tomography, X-Ray Computed Lung Neoplasms Female
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Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 29, 2025
BACKGROUND: The appropriate ligation level of the inferior mesenteric artery (IMA) in left-sided colorectal cancer (CRC) surgery is debated, with metastasis in No. 253 lymph node (No. 253 LN) being a key determining factor. This study aimed to develo...
Male Middle Aged Lymph Nodes Humans Aged Lymphatic Metastasis Machine Learning Adult Retrospective Studies Colorectal Neoplasms Tomography, X-Ray Computed Radiomics Female
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