Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters

被引:55
作者
Sani, Lorenzo [1 ]
Vispa, Alessandro [1 ]
Loretoni, Riccardo [2 ]
Duranti, Michele [3 ]
Ghavami, Navid [1 ]
Sanchez-Bayuela, Daniel Alvarez [1 ]
Caschera, Stefano [1 ]
Paoli, Martina [1 ]
Bigotti, Alessandra [1 ]
Badia, Mario [1 ]
Scorsipa, Michele [1 ]
Raspa, Giovanni [1 ]
Ghavami, Mohammad [4 ]
Tiberi, Gianluigi [1 ,4 ]
机构
[1] UBT Umbria Bioengn Technol, Perugia, Italy
[2] AUSL Umbria 2, Breast Screening & Diagnost Breast Canc Unit, Foligno, Italy
[3] Perugia Hosp, Dept Diagnost Imaging, Perugia, Italy
[4] London South Bank Univ, Sch Engn, London, England
基金
欧盟地平线“2020”;
关键词
CANCER;
D O I
10.1371/journal.pone.0250005
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
MammoWave is a microwave imaging device for breast lesions detection, which operates using two (azimuthally rotating) antennas without any matching liquid. Images, subsequently obtained by resorting to Huygens Principle, are intensity maps, representing the homogeneity of tissues' dielectric properties. In this paper, we propose to generate, for each breast, a set of conductivity weighted microwave images by using different values of conductivity in the Huygens Principle imaging algorithm. Next, microwave images' parameters, i.e. features, are introduced to quantify the non-homogenous behaviour of the image. We empirically verify on 103 breasts that a selection of these features may allow distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e. with lesions which may be benign or malignant. Statistical significance was set at p<0.05. We obtained single features Area Under the receiver operating characteristic Curves (AUCs) spanning from 0.65 to 0.69. In addition, an empirical rule-of-thumb allowing breast assessment is introduced using a binary score S operating on an appropriate combination of features. Performances of such rule-of-thumb are evaluated empirically, obtaining a sensitivity of 74%, which increases to 82% when considering dense breasts only.
引用
收藏
页数:17
相关论文
共 24 条
[1]   Review of Microwaves Techniques for Breast Cancer Detection [J].
Aldhaeebi, Maged A. ;
Alzoubi, Khawla ;
Almoneef, Thamer S. ;
Bamatraf, Saeed M. ;
Attia, Hussein ;
Ramahi, Omar M. .
SENSORS, 2020, 20 (08)
[2]   Epidemiology and prognosis of breast cancer in young women [J].
Assi, Hussein A. ;
Khoury, Katia E. ;
Dbouk, Haifa ;
Khalil, Lana E. ;
Mouhieddine, Tarek H. ;
El Saghir, Nagi S. .
JOURNAL OF THORACIC DISEASE, 2013, 5 :S2-S8
[3]  
Chen THH, 2017, MEDICINE, V96, DOI [10.1097/MD.0000000000005684, 10.1097/md.0000000000005684]
[4]  
Conceicao RC, 2016, INTRO MICROWAVE IMAG
[5]   Biocompatibility, biodegradation and excretion of polylactic acid (PLA) in medical implants and theranostic systems [J].
da Silva, Dana ;
Kaduri, Maya ;
Poley, Maria ;
Adir, Omer ;
Krinsky, Nitzan ;
Shainsky-Roitman, Janna ;
Schroeder, Avi .
CHEMICAL ENGINEERING JOURNAL, 2018, 340 :9-14
[6]  
Ferlay J., 2020, Global Cancer Observatory: Cancer Today, P20182020
[7]   UWB Microwave Imaging of Objects With Canonical Shape [J].
Ghavami, Navid ;
Tiberi, Gianluigi ;
Edwards, David J. ;
Monorchio, Agostino .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2012, 60 (01) :231-239
[8]   Mortality reductions due to mammography screening: Contemporary population-based data [J].
Hanley, James A. ;
Hannigan, Ailish ;
O'Brien, Katie M. .
PLOS ONE, 2017, 12 (12)
[9]  
Joy J.E., 2005, Saving women's lives : strategies for improving breast cancer detection and diagnosis
[10]  
Lakhani S.R., WHO Classification of Tumours of the Breast, VFourth