title: CT imaging of ovarian yolk sac tumor with emphasis on differential diagnosis.
abstract: Ovarian yolk sac tumors (YSTs) are rare neoplasms. No radiological study has been done to compare the imaging findings between this type of tumor and other ovarian tumors. Here we analyzed the CT findings of 11 pathologically proven ovarian YSTs and compared their imaging findings with 18 other types of ovarian tumors in the same age range. Patient age, tumor size, tumor shape, ascites and metastasis of two groups did not differ significantly (P > 0.05). A mixed solid-cystic nature, intratumoral hemorrhage, marked enhancement and dilated intratumoral vessel of two groups differed significantly (P < 0.05). The area under the ROC curve of four significant CT features was 0.679, 0.707, 0.705, and 1.000, respectively. Multivariate logistic regression analysis identified two independent signs of YST: intratumoral hemorrhage and marked enhancement. Our results show that certain suggestive CT signs that may be valuable for improving the accuracy of imaging diagnosis of YST and may be helpful in distinguishing YST from other ovarian tumors.
authors.affiliation: Department of Radiology, Cancer Hospital, Shantou University Medical College, Shantou 515041, China.
authors.forename: Yang-Kang
authors.initials: YK
authors.lastname: Li
authors.affiliation: Department of Clinical Pharmacology, Cancer Hospital, Shantou University Medical College, Shantou 515041, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Zheng
authors.affiliation: Department of Radiology, Cancer Hospital, Shantou University Medical College, Shantou 515041, China.
authors.forename: Jian-Bang
authors.initials: JB
authors.lastname: Lin
authors.affiliation: State Key Laboratory of Oncology in South China, Department of Diagnostic Imaging and Intervening Center, Cancer Center of Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Gui-Xiao
authors.initials: GX
authors.lastname: Xu
authors.affiliation: Department of Radiology, Cancer Hospital, Shantou University Medical College, Shantou 515041, China.
authors.forename: Ai-Qun
authors.initials: AQ
authors.lastname: Cai
authors.affiliation: Department of Radiology, Cancer Hospital, Shantou University Medical College, Shantou 515041, China.
authors.forename: Xiu-Guo
authors.initials: XG
authors.lastname: Zhou
authors.affiliation: 1] The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou 515041, China [2] Cancer Research Center, Shantou University Medical College, Shantou 515041, China.
authors.forename: Guo-Jun
authors.initials: GJ
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D019540:Area Under Curve; D001201:Ascites / Q000473:pathology; D003536:Cystadenocarcinoma / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D003937:Diagnosis, Differential; D018240:Endodermal Sinus Tumor / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D005260:Female; D006470:Hemorrhage / Q000473:pathology; D006801:Humans; D009389:Neovascularization, Pathologic / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D010051:Ovarian Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D010053:Ovary / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000473:pathology; D010534:Peritoneal Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000556:secondary; D012372:ROC Curve; D014057:Tomography, X-Ray Computed; D047368:Tumor Burden