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Post-mortem CT radiomics for the prediction of time since death
ObjectivesPost - mortem interval (PMI) estimation has long been relying on sequential post - mortem changes on the body as a function of extrinsic,...
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Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation
ObjectivesIndependent internal and external validation of three previously published CT-based radiomics models to predict local tumor progression...
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Risk stratification for 1- to 2-cm gastric gastrointestinal stromal tumors: visual assessment of CT and EUS high-risk features versus CT radiomics analysis
ObjectivesTo investigate the ability of CT and endoscopic sonography (EUS) in predicting the malignant risk of 1–2-cm gastric gastrointestinal...
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A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly
BackgroundThe value of radiomics features from the adrenal gland and periadrenal fat CT images for predicting disease progression in patients with...
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A multicenter study: predicting KRAS mutation and prognosis in colorectal cancer through a CT-based radiomics nomogram
PurposeTo establish a CT-based radiomics nomogram for preoperative prediction of KRAS mutation and prognostic stratification in colorectal cancer...
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Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients
ObjectivesCT reconstruction algorithms affect radiomics reproducibility. In this study, we evaluate the effect of deep learning–based image...
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Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis
BackgroundLung cancer is a fatal disease which has high occurrence and mortality rates, worldwide. Computed tomography imaging is being widely used...
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CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer
BackgroundTumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer...
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Radiomics using CT images for preoperative prediction of lymph node metastasis in perihilar cholangiocarcinoma: a multi-centric study
ObjectivesTo develop a CT-based radiomics model for preoperative prediction of lymph node (LN) metastasis in perihilar cholangiocarcinoma (pCCA).
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Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features
ObjectivesTo use clinical, radiographic, and CT radiomics features to develop and validate a preoperative prediction model for the early recurrence...
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Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics
BackgroundIn this study, we used computed tomography (CT)-based radiomics signatures to predict the mutation status of KRAS in patients with...
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Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image
ObjectiveThe indocyanine green retention rate at 15 min (ICG-R15) is a useful tool to evaluate the functional liver reserve before hepatectomy for...
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Feasibility analysis of arterial CT radiomics model to predict the risk of local and metastatic recurrence after radical cystectomy for bladder cancer
PurposeTo construct a radiomics-clinical nomogram model for predicting the risk of local and metastatic recurrence within 3 years after radical...
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A CT based radiomics analysis to predict the CN0 status of thyroid papillary carcinoma: a two- center study
ObjectivesTo develop and validate radiomics model based on computed tomography (CT) for preoperative prediction of CN0 status in patients with...
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Predicting event-free survival after induction of remission in high-risk pediatric neuroblastoma: combining 123I-MIBG SPECT-CT radiomics and clinical factors
BackgroundAccurately quantifying event-free survival after induction of remission in high-risk neuroblastoma can lead to better subsequent treatment...
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CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases
PurposeStereotactic body radiotherapy (SBRT) is a key treatment modality for lung cancer patients. This study aims to develop a machine...
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Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma
BackgroundThis study aimed to develop a computed tomography (CT) model to predict Ki-67 expression in hepatocellular carcinoma (HCC) and to examine...
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CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn’s disease
PurposeAccurately predicting the treatment response in patients with Crohn’s disease (CD) receiving infliximab therapy is crucial for clinical...
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An integrative clinical and CT-based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma
BackgroundMicrosatellite instability (MSI) is detected in approximately 15% of colorectal carcinoma (CRC) patients, which has emerged as a predictor...
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Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT
ObjectiveTo study the value of radiomics models based on plain and multiphase contrast-enhanced CT to predict Ki-67 expression in gastrointestinal...
