Background: Mucinous ovarian tumors present various diagnostic challenges, with a broad histopathological spectrum from benign, borderline to malignant. Underdiagnosis of Mucinous Ovarian Carcinoma causes under-treatment, thereby reducing survival. Overdiagnosis of Mucinous Borderline Ovarian Tumor results in unnecessary additional treatment, resulting in significant side effects. CT scan is a diagnostic imaging modality with high accuracy in assessing ovarian tumors. Knowing the preoperative CT scan image well is very important for diagnosis and patient management. Objective: The purpose of this study is to identify the characteristics of preoperative CT scan features in mucinous ovarian tumors that correlate with histopathology results. Methods and Materials: Descriptive study of 53 samples of mucinous type ovarian tumors consisting of 12 samples of Mucinous Ovarian Cystadenoma (MCA), 17 samples of Mucinous Borderline Ovarian Tumor (MBOT), and 24 samples of Mucinous Ovarian Carcinoma (MOC) which were histopathologically proven by surgery. Abdominal CT scan data without and with contrast were evaluated retrospectively. Results: The dominant CT scan characteristics of MCA are multilocular cyst (91.7%) with a thin tumor wall (83.3%) and thin septa (83.3%), no solid component (91.6%), and no enhancement (66.6%), with diameter of 22.83±9.92 cm and cystic component density of 12.33±4.21 HU. The dominant CT scan characteristics of MBOT are multilocular solid cyst (64.7%) with thick walls (82.4%), thick septa (82.4%), and solid components (70.6%), which provide enhancement (52.9%) with mild (55.6%) and moderate (44.4%) enhancement pattern, with diameter of 28.03±6.31 cm and a cystic component density of 17.47±7.58 HU. The dominant CT scan characteristics of MOC are multilocular solid cyst (100%) with thick walls (100%), thick septa (100%), and solid components (100%) that provide enhancement (100%) with moderate (66.7%) and strong (33.3%) enhancement pattern, with diameter of 24.50±5.77 cm and cystic component density of 20.83±6.71 HU. Site/laterality, tumor diameter, and intramural calcification do not exhibit characteristic features in MCA, MBOT, and MOC. Conclusion: CT scan features that can be used to assist in categorizing the preoperative diagnosis of mucinous ovarian tumors as benign, borderline, or malignant type include: morphology, tumor wall, septa, cystic lesion density, solid component, and enhancement pattern.

Mucinous Ovarian Carcinoma

Mucinous Borderline Ovarian Tumor

Mucinous Ovarian Cystadenoma

ct scan

Mucinous ovarian tumor