Cargando…

Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer

Purpose: The aim of this study was to investigate the value of radiomics analysis of iodine-based material decomposition (MD) images with dual-energy computed tomography (DECT) imaging for preoperatively predicting microsatellite instability (MSI) status in colorectal cancer (CRC). Methods: This stu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Jingjun, Zhang, Qinhe, Zhao, Ying, Liu, Yijun, Chen, Anliang, Li, Xin, Wu, Tingfan, Li, Jianying, Guo, Yan, Liu, Ailian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883423/ https://www.ncbi.nlm.nih.gov/pubmed/31824843 http://dx.doi.org/10.3389/fonc.2019.01250

Ejemplares similares

Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography
por: Zhang, Qinhe, et al.
Publicado: (2021)

Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images
por: Wu, Jingjun, et al.
Publicado: (2019)

Radiomics Analysis of Multi-Sequence MR Images For Predicting Microsatellite Instability Status Preoperatively in Rectal Cancer
por: Li, Zongbao, et al.
Publicado: (2021)

Corrigendum: Radiomics Analysis of Multi-Sequence MR Images For Predicting Microsatellite Instability Status Preoperatively in Rectal Cancer
por: Li, Zongbao, et al.
Publicado: (2021)

Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer
por: Zhang, Wei, et al.
Publicado: (2021)

Intratumoral and peritumoral radiomics based on contrast-enhanced MRI for preoperatively predicting treatment response of transarterial chemoembolization in hepatocellular carcinoma
por: Zhao, Ying, et al.
Publicado: (2023)

Application of dual-energy spectral CT imaging in differential diagnosis of bladder cancer and benign prostate hyperplasia
por: Chen, Anliang, et al.
Publicado: (2016)

Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics
por: Li, Jiaru, et al.
Publicado: (2021)

Urachal borderline mucinous cystadenoma: A rare case report and literature review
por: Wu, Jingjun, et al.
Publicado: (2017)

Sclerosing angiomatoid nodular transformation of the accessory spleen: A case report and review of literature
por: Niu, Miao, et al.
Publicado: (2018)

Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics
por: Zhang, Yang, et al.
Publicado: (2023)

Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer
por: Ying, Mingliang, et al.
Publicado: (2022)

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma
por: Zhao, Ying, et al.
Publicado: (2021)

Radiomics features based on internal and marginal areas of the tumor for the preoperative prediction of microsatellite instability status in colorectal cancer
por: Ma, Yi, et al.
Publicado: (2022)

Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study
por: Li, Zhi, et al.
Publicado: (2021)

Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability
por: Zhu, Jin, et al.
Publicado: (2022)

The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancer
por: Shi, Cen, et al.
Publicado: (2022)

Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant)
por: Huang, Zixing, et al.
Publicado: (2020)

Efficacy and safety of preoperative immunotherapy in patients with mismatch repair-deficient or microsatellite instability-high gastrointestinal malignancies
por: Li, Ying-Jie, et al.
Publicado: (2023)

Implication of Microsatellite Instability in Chinese Cohort of Human Cancers
por: Cui, Meiying, et al.
Publicado: (2020)

Primary malignant mixed Müllerian tumors of the fallopian tube with cervix metastasis: A rare case report and literature review
por: Zhang, QinHe, et al.
Publicado: (2018)

Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer
por: Lin, Zijing, et al.
Publicado: (2022)

Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map
por: Li, Min, et al.
Publicado: (2023)

Editorial: Microsatellite and microsatellite instability
por: How-Kit, Alexandre, et al.
Publicado: (2023)

Imaging biomarkers to stratify lymph node metastases in abdominal CT – Is radiomics superior to dual-energy material decomposition?
por: Mahmoudi, Scherwin, et al.
Publicado: (2022)

Preoperative Magnetic Resonance Imaging Radiomics for Predicting Early Recurrence of Glioblastoma
por: Wang, Jing, et al.
Publicado: (2021)

A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics
por: Jiang, Zinian, et al.
Publicado: (2023)

Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images
por: Kovacheva, Violeta N., et al.
Publicado: (2016)

A radiomics model fusing clinical features to predict microsatellite status preoperatively in colorectal cancer liver metastasis
por: Wang, Xuehu, et al.
Publicado: (2023)

Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images
por: Sun, Kai, et al.
Publicado: (2020)

Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
por: Wang, Qiang, et al.
Publicado: (2023)

Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma
por: Chen, Yi-Di, et al.
Publicado: (2022)

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging
por: Shi, Lin, et al.
Publicado: (2022)

Preoperative Chemoradiotherapy plus Nivolumab before Surgery in Patients with Microsatellite Stable and Microsatellite Instability–High Locally Advanced Rectal Cancer
por: Bando, Hideaki, et al.
Publicado: (2022)

Utility of the Iodine Overlay Technique and Virtual Nonenhanced Images for the Preoperative T Staging of Colorectal Cancer by Dual-Energy CT with Tin Filter Technology
por: Chen, Chiao-Yun, et al.
Publicado: (2014)

Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact
por: Jiang, Yining, et al.
Publicado: (2021)

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images
por: Yao, Zhao, et al.
Publicado: (2018)

Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
por: Xu, Yan-Han, et al.
Publicado: (2023)

A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma
por: Yuan, Hang, et al.
Publicado: (2022)

Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics
por: Kim, Soyoung, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_i17gvkfh5tbpuq14le8pa2p9hp