title: The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.
abstract: OBJECTIVE
  The correlation between imaging findings and pathologic characteristics of tumors may provide information for diagnosis and treatment of cancer. The aim of this study is to determine whether ultrasound features of breast cancer are associated with molecular subtype, histologic grade, and hormone receptor status, as well as assess the predictive value of these features.
  
  
  METHODS
  A total of 201 consecutive invasive breast cancer patients were reviewed from the database according to the Breast Imaging and Reporting Data System (BI-RADS). Tumor margins were classified as circumscribed and noncircumscribed. Noncircumscribed group was divided into indistinct, spiculated, angular, and microlobulated. The posterior acoustic features were divided into four categories: shadowing, enhancement, no change, and mixed pattern.
  
  
  RESULTS
  Tumors with posterior shadowing were more likely to be of nontriple negative subtype (odds ratio [OR], 7.42; 95% CI, 2.10-24.99; P = 0.002), low histologic grade (grade 1 or 2 vs. grade 3: OR, 2.42; 95% CI, 1.34-4.35; P = 0.003) and having at least one positive receptor (OR, 3.36; 95% CI, 1.55-7.26; P = 0.002). Tumors with circumscribed margins were more often triple-negative subtype (OR, 6.72; 95% CI, 2.56-17.65; P < 0.001), high grade (grade 3 vs. grade 1 or 2: OR, 5.42; 95% CI, 2.66-11.00; P < 0.001) and hormone receptor negative (OR, 4.87; 95% CI, 2.37-9.99; P < 0.001).
  
  
  CONCLUSIONS
  Sonographic features are strongly associated with molecular subtype, histologic grade, and hormone receptor status of the tumor. These findings may separate triple-negative breast cancer from other molecular subtypes.
authors.affiliation: Department of Radiology, Florence Nightingale Hospital, İstanbul, Turkey. elbuken.filiz@gmail.com.
authors.forename: Filiz
authors.initials: F
authors.lastname: Çelebi
authors.forename: Kezban Nur
authors.initials: KN
authors.lastname: Pilancı
authors.forename: Çetin
authors.initials: Ç
authors.lastname: Ordu
authors.forename: Filiz
authors.initials: F
authors.lastname: Ağacayak
authors.forename: Gül
authors.initials: G
authors.lastname: Alço
authors.forename: Serkan
authors.initials: S
authors.lastname: İlgün
authors.forename: Dauren
authors.initials: D
authors.lastname: Sarsenov
authors.forename: Zeynep
authors.initials: Z
authors.lastname: Erdoğan
authors.forename: Vahit
authors.initials: V
authors.lastname: Özmen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D008875:Middle Aged; D060787:Neoplasm Grading; D011960:Receptors, Estrogen / Q000378:metabolism; D011980:Receptors, Progesterone / Q000378:metabolism; D012189:Retrospective Studies; D064726:Triple Negative Breast Neoplasms / Q000000981:diagnostic imaging / Q000378:metabolism / Q000473:pathology; D016217:Ultrasonography, Mammary / Q000379:methods*; D055815:Young Adult
chemical_list: D011960:Receptors, Estrogen; D011980:Receptors, Progesterone