Texture Analysis of Ultrasound Images to Differentiate Simple Fibroadenomas From Complex Fibroadenomas and Benign Phyllodes Tumors

Akin I., ÖZGÜL H. A., Simsek K., ALTAY C., SEÇİL M., BALCI P.

JOURNAL OF ULTRASOUND IN MEDICINE, vol.39, no.10, pp.1993-2003, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 39 Issue: 10
  • Publication Date: 2020
  • Doi Number: 10.1002/jum.15304
  • Journal Name: JOURNAL OF ULTRASOUND IN MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Biotechnology Research Abstracts, CAB Abstracts, CINAHL, Compendex, EMBASE, MEDLINE, Veterinary Science Database
  • Page Numbers: pp.1993-2003
  • Keywords: complex fibroadenoma, phyllodes tumor, simple fibroadenoma, texture, ultrasound, BREAST-CANCER, DIAGNOSIS, MANAGEMENT, RADIOMICS, LESIONS, US
  • Dokuz Eylül University Affiliated: Yes

Abstract

Objectives American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) category 4A lesions can be distinguished from BI-RADS 3 lesions with main ultrasound (US) findings such as a well-defined contour, round/oval shape, and parallel orientation with a homogeneous echo pattern. Breast Imaging Reporting and Data System 4A solid masses might be diagnosed as simple fibroadenomas (SFAs), complex fibroadenomas (CFAs), or benign phyllodes tumors (BPTs). Complex fibroadenomas have an increased risk of invasive cancer development than SFAs, and BPTs have a risk of borderline-malignant phyllodes tumor transformation; both of them are surgically treated, whereas follow-up procedures are applied in SFAs. It is essential to differentiate SFAs from CFAs and BPTs. Grayscale features of these lesions include a prominent overlap. Texture analyses in breast lesions have contributions in benign-malignant lesion differentiation. In this study, we aimed to use texture analysis of US images to differentiate these benign lesions.