Title: Ultrasound features of different histopathological subtypes of borderline ovarian tumors
Authors: Fruscella, E ×
Testa, A C
Ferrandina, G
De Smet, Frank
Van Holsbeke, C
Scambia, G
Zannoni, G F
Ludovisi, M
Achten, Ruth
Amant, Frédéric
Vergote, Ignace
Timmerman, Dirk #
Issue Date: Nov-2005
Series Title: Ultrasound in Obstetrics & Gynecology vol:26 issue:6 pages:644-650
Abstract: OBJECTIVE: To describe the gray-scale sonographic and color Doppler imaging features of the most common histopathological subtypes of borderline ovarian tumors. METHODS: We analyzed retrospectively the preoperative transvaginal sonographic reports of patients with a histological diagnosis of borderline ovarian tumor. All patients were scanned consecutively by two of the investigators using transabdominal and transvaginal gray-scale imaging to assess the morphology and color Doppler to obtain indices of the blood flow. Sonographic findings were compared to histopathological data. RESULTS: A total of 113 consecutive cases were reviewed from two referral centers for gynecological oncology. At histological examination 50 tumors (44%) were classified as being serous borderline ovarian tumors (SBOT), 61 (54%) were mucinous borderline ovarian tumors (MBOT) (42 intestinal type and 19 endocervical type), and two patients (2%) presented with borderline endometrioid tumors. SBOTs and endocervical-type MBOTs had very similar sonographic features and a smaller diameter, fewer locules (usually unilocular-solid lesions) and a higher color score than intestinal-type MBOTs. Intestinal-type MBOTs were characterized by a significantly higher percentage of lesions with > 10 locules when compared with the endocervical-type MBOTs. CONCLUSION: Intestinal-type MBOTs have different sonographic features from other common borderline ovarian tumors.
ISSN: 0960-7692
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Section Woman - Miscellaneous (-)
Basic Research in Gynaecology Section (-)
Translational Cell & Tissue Research
Gynaecological Oncology
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Environment and Health - miscellaneous
× corresponding author
# (joint) last author

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