Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

被引：0
|
作者：
Valeria Romeo
Renato Cuocolo
Roberta Apolito
Arnaldo Stanzione
Antonio Ventimiglia
Annalisa Vitale
Francesco Verde
Antonello Accurso
Michele Amitrano
Luigi Insabato
Annarita Gencarelli
Roberta Buonocore
Maria Rosaria Argenzio
Anna Maria Cascone
Massimo Imbriaco
Simone Maurea
Arturo Brunetti
机构：
[1] University of Naples “Federico II”,Department of Advanced Biomedical Sciences
[2] University of Naples “Federico II”,Department of Clinical Medicine and Surgery
[3] University of Naples “Federico II”,Laboratory of Augmented Reality for Health Monitoring (ARHeMLab), Department of Electrical Engineering and Information Technology
[4] A.O.U. San Giovanni di Dio e Ruggi d’Aragona,Department of Radiology
来源：
European Radiology | 2021年 / 31卷
关键词：
Machine learning; Breast cancer; Ultrasound;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：9511 / 9519
页数：8
相关论文
共 50 条
  • [1] Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions
    Romeo, Valeria
    Cuocolo, Renato
    Apolito, Roberta
    Stanzione, Arnaldo
    Ventimiglia, Antonio
    Vitale, Annalisa
    Verde, Francesco
    Accurso, Antonello
    Amitrano, Michele
    Insabato, Luigi
    Gencarelli, Annarita
    Buonocore, Roberta
    Argenzio, Maria Rosaria
    Cascone, Anna Maria
    Imbriaco, Massimo
    Maurea, Simone
    Brunetti, Arturo
    EUROPEAN RADIOLOGY, 2021, 31 (12) : 9511 - 9519
  • [2] Clinical value and application of contrast-enhanced ultrasound in the differential diagnosis of malignant and benign breast lesions
    Zhang, Yan
    Zhang, Bmeiwu
    Fan, Xiaoxiang
    Mao, Dafeng
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2020, 20 (03) : 2063 - 2069
  • [3] Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions
    Zhang, Qian
    Peng, Yunsong
    Liu, Wei
    Bai, Jiayuan
    Zheng, Jian
    Yang, Xiaodong
    Zhou, Lijuan
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 52 (02) : 596 - 607
  • [4] The value of ultrasound viscosity imaging in preoperative differential diagnosis between malignant and benign breast lesions: Preliminary clinical applications
    Li, Wenying
    Jiang, Jun
    Cao, Jiaying
    Wei, Li
    Cheng, Rui
    Lu, Xiuyun
    Dong, Yi
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2025, 89 (01) : 111 - 122
  • [5] Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study
    Huo, Ling
    Tan, Yao
    Wang, Shu
    Geng, Cuizhi
    Li, Yi
    Ma, XiangJun
    Wang, Bin
    He, YingJian
    Yao, Chen
    Ouyang, Tao
    CANCER MANAGEMENT AND RESEARCH, 2021, 13 : 3367 - 3379
  • [6] The value of synthetic MRI in the differential diagnosis of benign and malignant breast lesions
    高微波
    China Medical Abstracts(Internal Medicine), 2021, 38 (04) : 193 - 193
  • [7] Editorial for "Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions"
    Nogueira, Luisa
    Nunes, Rita Gouveia
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 52 (02) : 608 - 609
  • [8] Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions
    Wang, Shi-jie
    Liu, Hua-qing
    Yang, Tao
    Huang, Ming-quan
    Zheng, Bo-wen
    Wu, Tao
    Han, Lan-qing
    Zhang, Yong
    Ren, Jie
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2022, 32 (05) : 1577 - 1587
  • [9] Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods
    Li, Shanshan
    Wang, Jiali
    Zhou, Li
    Wang, Hui
    Wang, Xiangyu
    Hu, Jian
    Ai, Qingxiu
    CLINICAL AND EXPERIMENTAL OBSTETRICS & GYNECOLOGY, 2025, 52 (01):
  • [10] Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study
    Homayoun, Hassan
    Chan, Wai Yee
    Kuzan, Taha Yusuf
    Leong, Wai Ling
    Altintoprak, Kubra Murzoglu
    Mohammadi, Afshin
    Vijayananthan, Anushya
    Rahmat, Kartini
    Leong, Sook Sam
    Mirza-Aghazadeh-Attarif, Mohammad
    Ejtehadifard, Sajjad
    Faeghi, Fariborz
    Acharya, U. Rajendra
    Ardakani, Ali Abbasian
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2022, 42 (03) : 921 - 933
12345