Cargando…

Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors

BACKGROUND: Accurate identification of ovarian tumors as benign or malignant is highly crucial. Radiomics is a new branch of imaging that has emerged in recent years to replace the traditional naked eye qualitative diagnosis. OBJECTIVE: This study is aimed at exploring the difference in the applicat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Shiyun, Liu, Jiaqi, Xiong, Yuanhuan, Han, Yongzhi, Pang, Peipei, Luo, Puying, Fan, Bing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872698/ https://www.ncbi.nlm.nih.gov/pubmed/35224097 http://dx.doi.org/10.1155/2022/5952296

Ejemplares similares

A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography
por: Li, Shiyun, et al.
Publicado: (2021)

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

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

CT-based radiomics of benign and malignant features in multiple cavitary pulmonary lesions
por: Pinto, Erique Guedes, et al.
Publicado: (2020)

Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors
por: Yu, Qiang, et al.
Publicado: (2022)

A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours
por: Sun, Weikai, et al.
Publicado: (2021)

Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules
por: Xu, Han, et al.
Publicado: (2022)

Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign
por: Xu, Hang, et al.
Publicado: (2023)

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

Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
por: Selvam, Minmini, 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)

The value of radiomics based on dual-energy CT for differentiating benign from malignant solitary pulmonary nodules
por: Liang, Gao, et al.
Publicado: (2022)

A CT-based radiomics nomogram for differentiation of benign and malignant small renal masses (≤4 cm)
por: Feng, Shengxing, et al.
Publicado: (2023)

Unique features of polycythemia observed on plain non contrast CT scan of head
por: Gayathri, S., et al.
Publicado: (2010)

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
por: Hendrix, Ward, et al.
Publicado: (2023)

Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules
por: Huang, Wenjun, et al.
Publicado: (2023)

Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images
por: Mingzhu, Liu, et al.
Publicado: (2021)

A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors()
por: Zhou, Leilei, et al.
Publicado: (2018)

Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
por: Jan, Ya-Ting, et al.
Publicado: (2023)

Can CT radiomics differentiate benign from malignant N2 adenopathy in non-small cell lung cancer
por: Cerfolio, Robert J., et al.
Publicado: (2020)

Efficacy of plain radiographs, CT scan, MRI and ultra sonography in temporomandibular joint disorders
por: Sinha, Vijai P., et al.
Publicado: (2012)

Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans
por: Bianconi, Francesco, et al.
Publicado: (2022)

Diagnostic values of 2 different techniques for controversial lumbar disc herniation by conventional imaging examination: 3D-DESS vs. CT plain scan
por: Liu, Wei, et al.
Publicado: (2022)

A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI
por: Chiari-Correia, Natália S., et al.
Publicado: (2023)

A comprehensive nomogram combining CT-based radiomics with clinical features for differentiation of benign and malignant lung subcentimeter solid nodules
por: Chen, Chengyu, et al.
Publicado: (2023)

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

Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions
por: Wu, Xinxin, et al.
Publicado: (2021)

Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images
por: Hu, Ziyang, et al.
Publicado: (2022)

Value of (18)F-FDG-PET/CT radiomics combined with clinical variables in the differential diagnosis of malignant and benign vertebral compression fractures
por: Wang, Xun, et al.
Publicado: (2023)

Enhanced and unenhanced: Radiomics models for discriminating between benign and malignant cystic renal masses on CT images: A multi-center study
por: Huang, Lesheng, et al.
Publicado: (2023)

Radiomics for Discriminating Benign and Malignant Salivary Gland Tumors; Which Radiomic Feature Categories and MRI Sequences Should Be Used?
por: Zhang, Rongli, et al.
Publicado: (2022)

The Growth Trend Predictions in Pulmonary Ground Glass Nodules Based on Radiomic CT Features
por: Gao, Chen, et al.
Publicado: (2020)

Detectability on Plain CT Is an Effective Discriminator between Carcinoma and Benign Disorder for a Polyp >10 mm in the Gallbladder
por: Satoh, Tatsunori, et al.
Publicado: (2021)

The value of a CT scan compared to plain radiographs for the classification and treatment plan in tibial plateau fractures
por: te Stroet, Martijn A. J., et al.
Publicado: (2011)

The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study
por: Kim, Young Jae, et al.
Publicado: (2019)

Quality control of radiomic features using 3D-printed CT phantoms
por: Mahmood, Usman, et al.
Publicado: (2021)

MRI-Based Radiomics to Differentiate between Benign and Malignant Parotid Tumors With External Validation
por: Piludu, Francesca, et al.
Publicado: (2021)

A Radiomics Nomogram for Distinguishing Benign From Malignant Round-Like Breast Tumors
por: Wang, Lanyun, et al.
Publicado: (2022)

An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses
por: Li, Chunxiang, 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)

Cannot write session to /tmp/vufind_sessions/sess_g0it94sc802fisfud5lvmggf0m