Breast Tumor Heterogeneity Quantification using 3D Ultrasound Texture

被引:0
作者
Megha, R. [1 ]
Geethapriya [2 ]
Radhakrishna, Selvi [2 ]
Eranki, Avinash [1 ]
机构
[1] Indian Inst Technol Hyderabad, Dept Biomed Engn, Hyderabad, India
[2] Chennai Breast Ctr, Chennai, Tamil Nadu, India
来源
PROCEEDINGS OF THE 2024 IEEE SOUTH ASIAN ULTRASONICS SYMPOSIUM, SAUS 2024 | 2024年
关键词
breast cancer; tumor heterogeneity; ultrasound; texture analysis; CANCER;
D O I
10.1109/SAUS61785.2024.10563639
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Breast tumors are heterogeneous disease that can vary among individuals (intertumor heterogeneity) and within a patient's tumor (intratumor heterogeneity). Intratumor heterogeneity indicates the existence of varied cellular groups within a tumor, potentially influencing tumor progression and impacting therapy response. Ultrasound, a primary imaging modality for breast tumors, can offer valuable insights into the subtle texture characteristics throughout the entire tumor, particularly when employed in a three-dimensional mode. In this study, our objective is to quantitatively assess the intratumor heterogeneity using three-dimensional B-mode ultrasound texture to enhance our understanding of tumor heterogeneity in treatment-naive breast tumor patients. The results of our study underscore the presence of varied textural characteristics within the tumor across different spatial locations. These observations suggest the potential for non-invasive biomarkers that can offer insights into the tumor microenvironment, behavior, and progression.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Identifying the effectiveness of 3D culture systems to recapitulate breast tumor tissue in situ
    Ludwik, Katarzyna A.
    Greathouse, Frances R.
    Han, Samuel
    Stauffer, Kimberly
    Brenin, David R.
    Stricker, Thomas P.
    Lannigan, Deborah A.
    [J]. CELLULAR ONCOLOGY, 2024, 47 (02) : 481 - 496
  • [42] 3D microwave tomography of the breast using prior anatomical information
    Golnabi, Amir H.
    Meaney, Paul M.
    Paulsen, Keith D.
    [J]. MEDICAL PHYSICS, 2016, 43 (04) : 1933 - 1944
  • [43] Contrast-Enhanced Nonlinear 3D Ultrasound Imaging of Breast Lesions in a Clinical Population
    Sridharan, Anush
    Eisenbrey, John R.
    Stanczak, Maria
    Daecher, Annemarie
    Machado, Priscilla
    Wilkes, Annina
    Sevrukov, Alexander
    Ojeda-Fournier, Haydee
    Mattrey, Robert F.
    Wallace, Kirk
    Forsberg, Flemming
    [J]. 2016 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2016,
  • [44] 3D Freehand Ultrasound for Medical Assistance in Diagnosis and Treatment of Breast Cancer: Preliminary Results
    Torres, Afabian
    Fanti, Zian
    Arambula Cosio, F.
    [J]. IX INTERNATIONAL SEMINAR ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, 2013, 8922
  • [45] Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis
    Agarwal, Richa
    Diaz, Oliver
    Llado, Xavier
    Gubern-Merida, Albert
    Vilanova, Joan C.
    Marti, Robert
    [J]. ULTRASONIC IMAGING, 2018, 40 (02) : 97 - 112
  • [46] DEFORMATION MODELS FOR REGISTERING MR AND 3D ULTRASOUND BREAST IMAGES
    Tanner, Christine
    Karssemeijer, Nico
    Szekely, Gabor
    [J]. 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2011, : 582 - 585
  • [47] Breast Sonography-2D, 3D, 4D Ultrasound or Elastography?
    Weismann, Christian
    Mayr, Christian
    Egger, Heike
    Auer, Alena
    [J]. BREAST CARE, 2011, 6 (02) : 98 - 103
  • [48] Breast Cancer Heterogeneity: A focus on Epigenetics and In Vitro 3D Model Systems
    Krishnan, Suresh Palamadai
    [J]. CELL JOURNAL, 2018, 20 (03) : 302 - 311
  • [49] Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound
    Haeberle, Lothar
    Hack, Carolin C.
    Heusinger, Katharina
    Wagner, Florian
    Jud, Sebastian M.
    Uder, Michael
    Beckmann, Matthias W.
    Schulz-Wendtland, Ruediger
    Wittenberg, Thomas
    Fasching, Peter A.
    [J]. EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2017, 22
  • [50] Texture-oriented anisotropic filtering and geodesic active contours in breast tumor ultrasound segmentation
    Aleman-Flores, Miguel
    Alvarez, Luis
    Caselles, Vicent
    [J]. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2007, 28 (01) : 81 - 97