title: New sonographic morphology score for the differentiation of malignant from benign ovarian tumors.
abstract: OBJECTIVE
  The aim of this study was to explore the efficacy of a new sonographic morphology score (SMS) to differentiate malignant from benign ovarian tumors.
  
  
  METHODS
  Data on 84 ovarian tumors in patients hospitalized in our hospital between 2013 and 2014 were retrospectively analyzed. We established a new sonographic morphology score for ovarian tumors based on volume and structure scores. The efficacy of the new SMS was compared with that of Ueland's index (the old SMS). Receiver-operator curves (ROC) of the two SMS were constructed, and the areas under the curve were calculated and compared. The ROC of the new SMS was also compared with those for the patients' CA-125 and CA-72-4 levels.
  
  
  RESULTS
  The area under the ROC of the new SMS for ovarian tumors was 0.836, while for the old SMS for ovarian tumors it was 0.709. By Z-test (Z = 2.452, P = 0.0384), there was a significant difference between the new SMS and the old SMS in the diagnosis of ovarian tumors. There was no significant difference in the area under the ROC between the new SMS and CA-125 and CA-72-4 in the diagnosis of ovarian tumors. With a cut-off value of 6, the sensitivity, specificity, positive prognostic value, and negative prognostic value of the new SMS were 0.797, 0.85, 0.944, and 0.567, respectively.
  
  
  CONCLUSIONS
  The new SMS may be used to differentiate malignant ovarian carcinomas from benign tumors except in the case of ovarian thecoma.
authors.affiliation: Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Zhi Yong
authors.initials: ZY
authors.lastname: Shen
authors.affiliation: Department of Gynecology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Ai Qin
authors.initials: AQ
authors.lastname: He
authors.affiliation: Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Gan Lin
authors.initials: GL
authors.lastname: Xia
authors.affiliation: Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Ming Feng
authors.initials: MF
authors.lastname: Wu
authors.affiliation: Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China.
authors.forename: Yong Sheng
authors.initials: YS
authors.lastname: Ding
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008875:Middle Aged; D009369:Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D010051:Ovarian Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D012372:ROC Curve; D012189:Retrospective Studies; D014463:Ultrasonography / Q000379:methods*; D055815:Young Adult
keywords: CA-125; CA-72-4; areas under the curve; ovarian tumor; receiver-operator curve; sonographic morphology score