Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage …
Q Chen, C Fu, X Qiu, J He, T Zhao, Q Zhang, X Hu… - Clinical Radiology, 2024 - Elsevier
… mortality of 40% and 5-year survival rate of 29%. Haematoma … the clinical and radiological
characteristics between the two … to the interests of preventing further growth in post-ICH care. …
characteristics between the two … to the interests of preventing further growth in post-ICH care. …
Development and Validation of a Radiomics Nomogram Based on 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and …
B Yang, J Zhong, J Zhong, L Ma, A Li, H Ji… - Frontiers in …, 2020 - frontiersin.org
… , we developed and validated a radiomics nomogram by combining the radiomic features
extracted … We constructed three rad-scores based on CT features, PET features, and PET/CT …
extracted … We constructed three rad-scores based on CT features, PET features, and PET/CT …
Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma
P Nie, G Yang, N Wang, L Yan, W Miao, Y Duan… - … and molecular imaging, 2021 - Springer
… the radiomics nomogram integrating clinical factors, CT features… were finally selected for
RS development. However, the … , and hematological features improved survival prediction in …
RS development. However, the … , and hematological features improved survival prediction in …
Comparison of clinical-computed tomography model with 2D and 3D radiomics models to predict occult peritoneal metastases in advanced gastric cancer
J Huang, Y Chen, Y Zhang, J Xie, Y Liang, W Yuan… - … Radiology, 2022 - Springer
… CT findings yet. Meanwhile, several reports have suggested that … , the 2D and 3D radiomics
models were developed with … in terms of predicting survival and chemotherapy benefit in GC …
models were developed with … in terms of predicting survival and chemotherapy benefit in GC …
Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram
T Xue, H Peng, Q Chen, M Li, S Duan… - … Journal of Radiology, 2022 - academic.oup.com
… This study aimed to develop a model to predict KRAS … In this study, it was found that CT
imaging features based on the … study, the 3D radiomics model was slightly better than the 2D …
imaging features based on the … study, the 3D radiomics model was slightly better than the 2D …
A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy
Q Liu, J Li, F Liu, W Yang, J Ding, W Chen, Y Wei, B Li… - Cancer Imaging, 2020 - Springer
… in the 2D analysis and a narrower SD in the 3D analysis were … large number of quantitative
imaging features, which may be … study aimed to develop a radiomics signature to predict the …
imaging features, which may be … study aimed to develop a radiomics signature to predict the …
2D and 3D CT radiomic features performance comparison in characterization of gastric cancer: a multi-center study
… demonstrated that radiomic features could predict LNM, survival, … in 3D modality, significantly
restricts the development … Dong et al., “Deep learning radiomic nomogram can predict the …
restricts the development … Dong et al., “Deep learning radiomic nomogram can predict the …
A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study
X Zheng, K Liu, C Li, C Zhu, Y Gao, J Li, X Wu - La radiologia medica, 2023 - Springer
… develop and validate a CT-based radiomics nomogram to estimate the progression-free
survival … This study not only constructed radiomics signature with six CT features associated with …
survival … This study not only constructed radiomics signature with six CT features associated with …
CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A …
J Gong, W Zhang, W Huang, Y Liao, Y Yin, M Shi… - Radiotherapy and …, 2022 - Elsevier
… In total, 107 original imaging features were extracted and analyzed from the manually
segmented … In conclusion, we developed and validated a hybrid radiomics nomogram model that …
segmented … In conclusion, we developed and validated a hybrid radiomics nomogram model that …
Development of a nomogram based on 3D CT radiomics signature to predict the mutation status of EGFR molecular subtypes in lung adenocarcinoma: a multicenter …
G Zhang, L Deng, J Zhang, Y Cao, S Li, J Ren… - Frontiers in …, 2022 - frontiersin.org
… The radiological features have been shown to reflect EGFR mutation status in lung … CT,
radiomics converts medical images into mineable data and extracts a large number of features …
radiomics converts medical images into mineable data and extracts a large number of features …