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Advanced Gastric Cancer: CT Radiomics Prediction of Lymph Modes Metastasis After Neoadjuvant Chemotherapy
This study aims to create and assess machine learning models for predicting lymph node metastases following neoadjuvant treatment in advanced gastric...
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Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
ObjectivesRadiomics has been demonstrated to be strongly associated with TNM stage and patient prognosis. We aimed to develop a model for predicting...
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Correlation of CT-based radiomics analysis with pathological cellular infiltration in fibrosing interstitial lung diseases
PurposeWe aimed to identify computed tomography (CT) radiomics features that are associated with cellular infiltration and construct CT radiomics...
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Classification of nasal polyps and inverted papillomas using CT-based radiomics
ObjectivesNasal polyp (NP) and inverted papilloma (IP) are two common types of nasal masses. And their differentiation is essential for determining...
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Predicting vertebral compression fracture prior to spinal SBRT using radiomics from planning CT
PurposeThe purpose of the study was to develop a predictive model for vertebral compression fracture (VCF) prior to spinal stereotactic body...
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Radiomics analysis based on single phase and different phase combinations of radiomics features from tri-phasic CT to distinguish renal oncocytoma from chromophobe renal cell carcinoma
ObjectivesTo investigate different radiomics models based on single phase and the different phase combinations of radiomics features from 3D...
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Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter study
ObjectiveTo evaluate the efficacy of the CT-based intratumoral, peritumoral, and combined radiomics signatures in predicting progression-free...
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Preoperative CT-based radiomics for diagnosing muscle invasion of bladder cancer
BackgroundThe primary objective of the research was to develop a method using radiomics-based computed tomography (CT) to predict muscle invasion in...
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Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer
PurposeTo investigate the value of intratumoral and peritumoral radiomics based on contrast-enhanced computer tomography (CECT) to preoperatively...
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Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma
ObjectivesThis study aimed to develop and validate radiomics models on the basis of computed tomography (CT) and clinical features for the prediction...
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A CT-based radiomics nomogram involving the cystic fluid area for differentiating appendiceal mucinous neoplasms from appendicitis with intraluminal fluid
ObjectiveTo develop and validate a radiomics nomogram based on computed tomography (CT) to distinguish appendiceal mucinous neoplasms (AMNs) from...
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Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics
BackgroundPreoperative stratification is critical for the management of patients with esophageal cancer (EC). To investigate the feasibility and...
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Imaging phenoty** using 18F-FDG PET/CT radiomics to predict micropapillary and solid pattern in lung adenocarcinoma
ObjectivesTo develop and validate a machine learning model using 18 F-FDG PET/CT radiomics signature and clinical features to predict the presence of...
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Low-dose CT radiomics features-based neural networks predict lymphoma types
BackgroundFluorodeoxyglucose positron emission tomography (PET)–computed tomography (CT) is preferred for pretreatment staging and treatment planning...
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Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application
Radiomics allows the extraction of quantitative imaging features from clinical magnetic resonance imaging (MRI) and computerized tomography (CT)...
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Epstein–Barr virus positive gastric cancer: the pathological basis of CT findings and radiomics models prediction
PurposeTo analyze the clinicopathologic information and CT imaging features of Epstein–Barr virus (EBV)-positive gastric cancer (GC) and establish...
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A CT-based radiomics approach to predict intra-tumoral tertiary lymphoid structures and recurrence of intrahepatic cholangiocarcinoma
PurposeTo predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients...
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CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children
BackgroundTo investigate the role of CT radiomics in distinguishing Wilms tumor (WT) from clear cell sarcoma of the kidney (CCSK) in pediatric...
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Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model
BackgroundTo investigate the value of a nomogram model based on the combination of clinical-CT features and multiphasic enhanced CT radiomics for the...
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Hybrid transformer convolutional neural network-based radiomics models for osteoporosis screening in routine CT
ObjectiveEarly diagnosis of osteoporosis is crucial to prevent osteoporotic vertebral fracture and complications of spine surgery. We aimed to...
