Cargando…

Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images

OBJECTIVES: Evaluating the diagnostic efficiency of deep-learning models to distinguish malignant from benign parotid tumors on plain computed tomography (CT) images. MATERIALS AND METHODS: The CT images of 283 patients with parotid tumors were enrolled and analyzed retrospectively. Of them, 150 wer...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Ziyang, Wang, Baixin, Pan, Xiao, Cao, Dantong, Gao, Antian, Yang, Xudong, Chen, Ying, Lin, Zitong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376440/ https://www.ncbi.nlm.nih.gov/pubmed/35978811 http://dx.doi.org/10.3389/fonc.2022.919088

Ejemplares similares

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

Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images
por: Hu, Ziyang, et al.
Publicado: (2022)

Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR Images
por: Xia, Xianwu, et al.
Publicado: (2021)

Clinical approach and treatment of benign and malignant parotid masses, personal experience
por: BUSSU, F., et al.
Publicado: (2011)

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

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

Perfusion Computed Tomography Scan Imaging in Differentiation of Benign from Malignant Parotid Lesions
por: Niazi, Masume, et al.
Publicado: (2020)

Does a Deep Learning–Based Computer-Assisted Diagnosis System Outperform Conventional Double Reading by Radiologists in Distinguishing Benign and Malignant Lung Nodules?
por: Liu, Zhou, et al.
Publicado: (2020)

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram
por: Qi, Jinbo, et al.
Publicado: (2022)

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)

Establishment of Narrow Root Fracture Models Using Modified Temperature Cycling Method and Diagnosis Using Different Cone-Beam CT Units
por: Liang, Jiahao, et al.
Publicado: (2022)

Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses
por: Li, Chunxiang, et al.
Publicado: (2023)

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

An Approach Based on Mammographic Imaging and Radiomics for Distinguishing Male Benign and Malignant Lesions: A Preliminary Study
por: Huang, Yan, et al.
Publicado: (2021)

Contemporary Management of Benign and Malignant Parotid Tumors
por: Thielker, Jovanna, et al.
Publicado: (2018)

Time Difference of Arrival on Contrast-Enhanced Ultrasound in Distinguishing Benign Inflammation From Malignant Peripheral Pulmonary Lesions
por: Tang, Min, et al.
Publicado: (2020)

Computed Tomography–Based Differentiation of Benign and Malignant Craniofacial Lesions in Neurofibromatosis Type I Patients: A Machine Learning Approach
por: Wei, Cheng-Jiang, et al.
Publicado: (2020)

Distinguishing benign from malignant parotid gland tumours: low-dose multi-phasic CT protocol with 5-minute delay
por: Jin, G. Q., et al.
Publicado: (2011)

Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis
por: Surov, Alexey, et al.
Publicado: (2020)

Value of dual-layer spectral detector computed tomography in the diagnosis of benign/malignant solid solitary pulmonary nodules and establishment of a prediction model
por: Xie, Xiaodong, et al.
Publicado: (2023)

Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
por: Lee, Sang Hyup, et al.
Publicado: (2019)

Distinguishing benign from malignant liver tumours
por: Heiken, Jay P.
Publicado: (2007)

Distinguishing benign from malignant adrenal masses
por: Francis, Isaac R.
Publicado: (2015)

Computed Tomography Features of Parotid Tuberculosis
por: de Lima, Larissa Nobre Lopes, et al.
Publicado: (2023)

The accessory parotid gland and facial process of the parotid gland on computed tomography
por: Ahn, Dongbin, et al.
Publicado: (2017)

Carcinosarcoma of parotid gland (malignant mixed tumor)
por: Feng, Duan, et al.
Publicado: (2015)

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

SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
por: Ghosh, Pronab, et al.
Publicado: (2022)

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
por: Önder, Merve, et al.
Publicado: (2023)

Efficacy of the Systemic Immune Inflammation Index in Malignant and Benign Parotid Neoplasms
por: Sahin, Abdulkadir, et al.
Publicado: (2022)

Liquid biopsies to distinguish malignant from benign pulmonary nodules
por: Tao, Rui, et al.
Publicado: (2021)

Comparison of Different Machine Models Based on Multi-Phase Computed Tomography Radiomic Analysis to Differentiate Parotid Basal Cell Adenoma From Pleomorphic Adenoma
por: Zheng, Yun-lin, et al.
Publicado: (2022)

Elastography in Distinguishing Benign from Malignant Thyroid Nodules
por: Colakoglu, Bulent, et al.
Publicado: (2016)

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules
por: Wang, Shuwen, et al.
Publicado: (2022)

Can visual assessment of blood flow patterns by dynamic contrast-enhanced computed tomography distinguish between malignant and benign lung tumors?
por: Harders, Stefan Walbom, et al.
Publicado: (2017)

Differentiation of Benign and Malignant Parotid Gland Tumors with MRI and Diffusion Weighted Imaging
por: Orhan Soylemez, Umut Percem, et al.
Publicado: (2021)

Contrast-Enhanced Ultrasound and Strain Elastography for Differentiating Benign and Malignant Parotid Tumors
por: Shi, Liuhong, et al.
Publicado: (2023)

End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images
por: Shao, Ji, et al.
Publicado: (2023)

Differentiating benign from malignant pancreatic cysts on computed tomography
por: Yadav, Rajesh Kumar, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_qqsugdmn94c1k28rtvhnrdkqke