Cargando…

A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography

This paper develops a two-dimensional (2D) radiomics approach with computed tomography (CT) to differentiate between benign and malignant ovarian neoplasms. A retrospective study was conducted from July 2017 to June 2019 for 134 patients with surgically-verified benign or malignant ovarian tumors. T...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Shiyun, Liu, Jiaqi, Xiong, Yuanhuan, Pang, Peipei, Lei, Pinggui, Zou, Huachun, Zhang, Mei, Fan, Bing, Luo, Puying
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062553/ https://www.ncbi.nlm.nih.gov/pubmed/33888749 http://dx.doi.org/10.1038/s41598-021-87775-x

Ejemplares similares

Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors
por: Li, Shiyun, et al.
Publicado: (2022)

Development of MRI-based radiomics predictive model for classifying endometrial lesions
por: Liu, Jiaqi, et al.
Publicado: (2023)

Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors
por: Chu, Hairui, et al.
Publicado: (2021)

Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization
por: Dong, Wentao, et al.
Publicado: (2022)

Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy
por: Polk, Stuart L, 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)

Application of Radiomics Model of CT Images in the Identification of Ureteral Calculus and Phlebolith
por: Yu, Qiuyue, et al.
Publicado: (2022)

Preoperative differentiation of pancreatic cystic neoplasm subtypes on computed tomography radiomics
por: Zhang, Yifan, et al.
Publicado: (2023)

Prognostic value of computed tomography radiomics features in patients with gastric neuroendocrine neoplasm
por: Yang, Zhi-hao, et al.
Publicado: (2023)

A Rare Case of Primary Signet-Ring Cell Cervical Carcinoma: Early Stage with Independent Bilateral Ovarian Metastases
por: Li, Shiyun, et al.
Publicado: (2021)

Computed tomography-based texture assessment for the differentiation of benign, borderline, and early-stage malignant ovarian neoplasms
por: He, Ziying, et al.
Publicado: (2023)

Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)
por: Yunus, Mardhiyati Mohd, et al.
Publicado: (2022)

A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas
por: Pan, Shushu, et al.
Publicado: (2020)

Differentiating pneumonia with and without COVID-19 using chest CT images: from qualitative to quantitative
por: Li, Zicong, et al.
Publicado: (2020)

Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?
por: Liu, Lulu, et al.
Publicado: (2020)

Radiomics in Cardiac Computed Tomography
por: Ayx, Isabelle, et al.
Publicado: (2023)

MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors
por: Yu, Xin-ping, et al.
Publicado: (2021)

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

Development of survival predictors for high-grade serous ovarian cancer based on stable radiomic features from computed tomography images
por: Hu, Jiaqi, et al.
Publicado: (2022)

Prediction of Malignant Acute Middle Cerebral Artery Infarction via Computed Tomography Radiomics
por: Wen, Xuehua, et al.
Publicado: (2020)

Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms
por: Wang, Yong, et al.
Publicado: (2021)

Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors
por: Ai, Yao, 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)

A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer
por: Hu, Yumin, et al.
Publicado: (2021)

Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules
por: Kong, Dan, et al.
Publicado: (2022)

Diagnosis of Benign and Malignant Pulmonary Ground-Glass Nodules Using Computed Tomography Radiomics Parameters
por: liang, Ling, et al.
Publicado: (2022)

Computed tomography-based radiomics to assess risk stratification in pediatric malignant peripheral neuroblastic tumors
por: Wang, Xiaoxia, et al.
Publicado: (2023)

Diagnosis of Ovarian Neoplasms Using Nomogram in Combination With Ultrasound Image-Based Radiomics Signature and Clinical Factors
por: Qi, Lisha, et al.
Publicado: (2021)

CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas
por: Tobaly, David, et al.
Publicado: (2020)

Computed Tomography Based Radiomics as a Predictor of Survival in Ovarian Cancer Patients: A Systematic Review
por: Rizzo, Stefania, 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)

Predicting the recurrence risk of pancreatic neuroendocrine neoplasms after radical resection using deep learning radiomics with preoperative computed tomography images
por: Song, Chenyu, et al.
Publicado: (2021)

Value of the application of computed tomography‐based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer
por: Xiong, Situ, et al.
Publicado: (2023)

Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis
por: Jiang, Yan-Wei, et al.
Publicado: (2023)

Application of computed tomography-based radiomics combined with clinical factors in the diagnosis of malignant degree of lung adenocarcinoma
por: Shi, Liang, et al.
Publicado: (2022)

Stromal p16 expression is significantly increased in malignant ovarian neoplasms
por: Yoon, Nara, et al.
Publicado: (2016)

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)

Radiomic features analysis in computed tomography images of lung nodule classification
por: Chen, Chia-Hung, et al.
Publicado: (2018)

Radiomics analysis for differentiating of cervical lymphadenopathy between cancer of unknown primary and malignant lymphoma on unenhanced computed tomography
por: Tomita, Hayato, et al.
Publicado: (2022)

Primary intrathoracic malignant mesenchymal tumours: computed tomography features of a rare group of chest neoplasms
por: Koenigkam-Santos, Marcel, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_80ting7ifrink9iti1qdr6av8o