Cargando…

Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer

OBJECTIVE: To develop and validate a computed tomography (CT)-based radiomics model for predicting tumor deposits (TDs) preoperatively in patients with rectal cancer (RC). METHODS: This retrospective study enrolled 254 patients with pathologically confirmed RC between December 2017 and December 2019...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jin, Yumei, Li, Mou, Zhao, Yali, Huang, Chencui, Liu, Siyun, Liu, Shengmei, Wu, Min, Song, Bin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502898/ https://www.ncbi.nlm.nih.gov/pubmed/34646765 http://dx.doi.org/10.3389/fonc.2021.710248

Ejemplares similares

A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma
por: Jiang, Yi, et al.
Publicado: (2020)

The Role of Preoperative Computed Tomography Radiomics in Distinguishing Benign and Malignant Tumors of the Parotid Gland
por: Xu, Yuyun, et al.
Publicado: (2021)

Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models
por: Fu, Chunlong, et al.
Publicado: (2023)

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

Computed Tomography-Based Radiomics for Differentiation of Thymic Epithelial Tumors and Lymphomas in Anterior Mediastinum
por: He, Wenzhang, et al.
Publicado: (2022)

A nomogram for preoperative differentiation of tumor deposits from lymph node metastasis in rectal cancer: A retrospective study
por: Jin, Yumei, et al.
Publicado: (2023)

Nomogram including tumor deposition count to noninvasively evaluate the prognosis of rectal cancer patients: A retrospective study
por: Jin, Yumei, et al.
Publicado: (2023)

CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study
por: Zhao, Yilei, et al.
Publicado: (2021)

Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate Cancer
por: Li, Mou, et al.
Publicado: (2021)

Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma
por: Chen, Bin, et al.
Publicado: (2019)

Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer
por: Zhang, Yong-Chang, et al.
Publicado: (2022)

Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics
por: Zhu, Haiyan, et al.
Publicado: (2021)

A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas
por: Bi, Lei, et al.
Publicado: (2021)

A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer
por: Zhang, Yiying, et al.
Publicado: (2020)

Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors
por: Ai, Yao, et al.
Publicado: (2021)

Preoperative computed tomography-based tumoral radiomic features prediction for overall survival in resectable non-small cell lung cancer
por: Peng, Bo, et al.
Publicado: (2023)

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

Computed-Tomography-Based Radiomics Model for Predicting the Malignant Potential of Gastrointestinal Stromal Tumors Preoperatively: A Multi-Classifier and Multicenter Study
por: Wang, Minhong, et al.
Publicado: (2021)

Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study
por: Mao, Yitao, et al.
Publicado: (2022)

Preoperative Computed Tomography Radiomics Analysis for Predicting Receptors Status and Ki-67 Levels in Breast Cancer
por: Fan, Yuan, et al.
Publicado: (2022)

Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging
por: Zhang, Yang, et al.
Publicado: (2022)

Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma From Pancreatic Ductal Adenocarcinoma
por: Ren, Shuai, et al.
Publicado: (2020)

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

Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics
por: Qu, Xueting, et al.
Publicado: (2023)

Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
por: Zhou, Xuezhi, et al.
Publicado: (2020)

Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors
por: Wang, Chunhua, et al.
Publicado: (2021)

A Contrast-Enhanced Computed Tomography Based Radiomics Approach for Preoperative Differentiation of Pancreatic Cystic Neoplasm Subtypes: A Feasibility Study
por: Shen, Xiaoyong, et al.
Publicado: (2020)

Preoperative Prediction of Extramural Venous Invasion in Rectal Cancer: Comparison of the Diagnostic Efficacy of Radiomics Models and Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging
por: Yu, Xiangling, et al.
Publicado: (2020)

Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation
por: Jiang, Yi, et al.
Publicado: (2020)

Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer
por: Wu, Jingjun, et al.
Publicado: (2019)

Prognostic Nomogram for Rectal Cancer Patients With Tumor Deposits
por: Zhong, Xiaohong, et al.
Publicado: (2022)

Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma
por: Yi, Xiaoping, et al.
Publicado: (2021)

Machine-learning-based contrast-enhanced computed tomography radiomic analysis for categorization of ovarian tumors
por: Li, Jiaojiao, et al.
Publicado: (2022)

MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
por: Yi, Xiaoping, et al.
Publicado: (2019)

CT Radiomics Model for Discriminating the Risk Stratification of Gastrointestinal Stromal Tumors: A Multi-Class Classification and Multi-Center Study
por: Chen, Zhonghua, et al.
Publicado: (2021)

Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study
por: Wang, Ruihui, et al.
Publicado: (2021)

Research on automatic classification technology of kidney tumor and normal kidney tissue based on computed tomography radiomics
por: Li, Yunfei, et al.
Publicado: (2023)

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)

Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors
por: Yin, Ping, et al.
Publicado: (2020)

Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery
por: Xiu, Dianhui, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_0j4uivdpdgu800u1gvdmj46aie