title: Determining the organ of origin of large pelvic masses in females using multidetector CT angiography and three-dimensional volume rendering CT angiography.
abstract: OBJECTIVE
  To study the value of tumour feeding arteries and the ovarian vein in determining the organ of origin of large pelvic tumours in females using multidetector CT.
  
  
  METHODS
  One hundred and thirty patients with 131 pathologically proven tumours (>6.5 cm) were retrospectively reviewed. Conventional CT images and CT angiography were evaluated, with focus on assessing the value of tumour feeding arteries and the ovarian vein in differentiating ovarian from non-ovarian tumours.
  
  
  RESULTS
  For 97 ovarian tumours, the feeding arteries included the ovarian artery (n = 51) and the ovarian branch of uterine artery (n = 64). For 34 non-ovarian tumours, the feeding arteries included the ovarian artery (n = 2), the uterine artery (n = 21), the mesenteric artery (n = 5), and the internal iliac artery (n = 1). The ovarian vein was identified in 86 ovarian tumours and 12 non-ovarian tumours. When the feeding arteries and the ovarian vein were combined to confirm ovarian origin, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 97.8 %, 84.2 %, 93.8 %, 94.1 %, and 93.9 %, respectively. The accuracy was significantly higher than that of independently using the ovarian vein or the ovarian feeding arteries.
  
  
  CONCLUSIONS
  Combined application of tumour feeding arteries and the ovarian vein is valuable to differentiate large ovarian from non-ovarian tumours.
  
  
  CONCLUSIONS
  • CT is a valuable modality for diagnosing pelvic tumours. • Determining the organ of origin is difficult for large pelvic tumours. • Contrast-enhanced CT and CT angiography are helpful in depicting abdominopelvic vessels. • Tracking tumour-associated vessels can help differentiate large ovarian from non-ovarian tumours.
authors.affiliation: Department of Radiology, Cancer Hospital, Shantou University Medical College, No7, Raoping Rd, Shantou, Guangdong Province, 515041, Peoples Republic of China, liyangkang@yahoo.com.
authors.forename: YangKang
authors.initials: Y
authors.lastname: Li
authors.forename: Yu
authors.initials: Y
authors.lastname: Zheng
authors.forename: JunWei
authors.initials: J
authors.lastname: Chen
authors.forename: XueYin
authors.initials: X
authors.lastname: Chen
authors.forename: JianBang
authors.initials: J
authors.lastname: Lin
authors.forename: AiQun
authors.initials: A
authors.lastname: Cai
authors.forename: XiuGuo
authors.initials: X
authors.lastname: Zhou
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000792:Angiography / Q000379:methods*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D010051:Ovarian Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging*; D012189:Retrospective Studies; D055815:Young Adult