Pattern of benign ovarian cysts in Qatari women

A Clinicopathological Study of 236 Cystic Ovarian Lesions at Jos University Teaching Hospital, Jos, Nigeria

Background

Cystic ovarian lesions are defined by an ovarian fluid containing space limited by a membrane. The exact prevalence of the disease is unknown. A proper diagnosis is imperative for the choice of appropriate therapy. The objective of this study is to establish the different histological variants of ovarian cysts diagnosed at the Histopathology Department of Jos University Teaching Hospital between January 1, 2000, and December 31, 2019.

Methodology

This is a descriptive study of consecutive cases of ovarian cysts at the Jos University Teaching Hospital, Jos, Nigeria between January 1, 2000, and December 31, 2019. Demographic and histopathologic data were collated from patients' request forms and duplicate copies of histology reports of all histologically diagnosed cases of ovarian cysts at the Histopathology Department during the study period.

Result

A total of 236cases of cystic ovarian lesions were seen during the period of the study. Benign and malignant cases constituted 226(95.76%) and 10(4.24%) cases respectively. Corpus luteum cyst was the commonest histological type accounting for 28.33% of cases. Lesions located on the right ovary were 145(61.44%), while those on the left were 95(40.25%). The commonest symptom was abdominal pain. The age range was 4-70years, with a mean, median and mode of 35.02+11.9 years, 33.0 years, and 35.0 years respectively.

Conclusion

The vast majority of ovarian cysts in our environment are benign, and commonly occurs in women during their reproductive age. Abdominal pain is the commonest presentation and cysts of the ovary occur more on the right.

Radiomic Analysis of MRI Images is Instrumental to the Stratification of Ovarian Cysts

The imaging diagnosis of malignant ovarian cysts relies on their morphological features, which are not always specific to malignancy. The histological analysis of these cysts shows specific fluid characteristics, which cannot be assessed by conventional imaging techniques. This study investigates whether the texture-based radiomics analysis (TA) of magnetic resonance (MRI) images of the fluid content within ovarian cysts can function as a noninvasive tool in differentiating between benign and malignant lesions. Twenty-eight patients with benign (n = 15) and malignant (n = 13) ovarian cysts who underwent MRI examinations were retrospectively included. TA of the fluid component was undertaken on an axial T2-weighted sequence. A comparison of resulted parameters between benign and malignant groups was undertaken using univariate, multivariate, multiple regression, and receiver operating characteristics analyses, with the calculation of the area under the curve (AUC). The standard deviation of pixel intensity was identified as an independent predictor of malignant cysts (AUC = 0.738; sensitivity, 61.54%; specificity, 86.67%). The prediction model was able to identify malignant lesions with 84.62% sensitivity and 80% specificity (AUC = 0.841). TA of the fluid contained within the ovarian cysts can differentiate between malignant and benign lesions and potentially act as a noninvasive tool augmenting the imaging diagnosis of ovarian cystic lesions.