Differentiation of epithelial ovarian cancer subtypes by use of imaging and clinical data: a detailed analysis

open access (Japan)

 The purpose of this study was to study whether we can determine subtypes of epithelial ovarian cancer by using computed tomography (CT) and magnetic resonance imaging (MRI) with the clinical findings, including the tumor marker and paraneoplastic syndrome such as venous thrombosis or hypercalcemia, to support NAC (neoadjuvant chemotherapy).

(PDS+primary debulking surgery) 

Table 1

Patients Population

Histopathologic Subtypes	Age (years old)	Treatment		Total Number of Cases
		PDS	NAC
Serous	61 (31–85)	24	20	44
Mucinous	59 (37–84)	12	1	13
Clear cell	57 (37–81)	51	2	53
Endometrioid	59 (43–84)	15	0	15
Total	59 (31–85)	102	23	125

                               serous/mucinous/clear cell/endometrioid

CA125 (mean, U/ml)

2081.6

225.6

683.6

1936.5

Some limitations in our study should be pointed out. First, we could analyze only the morphological characteristics of the ovarian carcinomas, whereas numerous histological types of tumors affect the ovaries. Therefore, the process of differential diagnosis in daily practice may be more complex. Second, the number of tumors that we analyzed was limited. We included relatively larger number of CCC as our study population included a lot of ovarian cancer coexisting endometriosis. However, a bigger number of tumors need to be analyzed, in particular MC and EC.