Page 147 - EJMO-9-2

Eurasian Journal of
Medicine and Oncology Ovarian cyst differentiation score

the uniqueness and effectiveness of our CT and clinical moderate density heterogeneity, and marginal adhesions.
feature-based scoring system. This comparison can also This scoring system demonstrates strong predictive ability,
provide insights into how different imaging modalities enhancing the diagnostic confidence of radiologists
can be complementary in the accurate diagnosis of these and clinicians, and holds substantial clinical value in
ovarian cystic lesions. distinguishing between these two types of ovarian cystic

In clinical practice, the scoring system can streamline lesions.
the diagnostic process. For patients with suspected ovarian Acknowledgments
cystic masses, instead of relying solely on the radiologist’s
experience, the scoring system can provide a more objective None.
and standardized assessment. This can lead to more timely
and accurate diagnosis, reducing the time to appropriate Funding
treatment. It also helps in communication between None.
different departments, such as radiology and gynecology,
as the scoring system provides a unified and standardized Conflict of interest
system for simplifying the nature and classification of The authors declare no conflict of interest.
cystic lesions. 38
Moreover, findings from advanced MRI techniques Author contributions
in endometriosis can potentially offer a comparative Conceptualization: Ri-Sheng Yu
perspective to the CT-based approach. Specifically, Data curation: Xue-Liu
comparing MRI and CT might help in further validating Formal analysis: Jin-Er Shu, Jian-Bin He
the utility and uniqueness of our scoring system for Investigation: Xue-Liu
differentiating ovarian endometriotic cysts and ovarian Methodology: Xiao-Ming Wu, Ri-Sheng Yu
cystadenomas. In addition, considering relevant research Software: Qiao-Ling Ding
37
findings, offering comprehensive reproductive counseling Supervision: Xiao-Ming Wu, Ri-Sheng Yu
for patients with ovarian endometriotic cysts has grown Validation: Xiao-Chen Xu, Ting-Ting Xu
in importance. Our scoring system, by enabling accurate Writing – original draft: Xue-Liu, Jian-Xia Xu
diagnosis, can better inform such counseling sessions. 39 Writing – review & editing: Qiao-Ling Ding
This study has several limitations. First, the retrospective
design may introduce selection bias. For example, patients Ethics approval and consent to participate
with more severe symptoms or more complex cases may be This study was approved by the Medical Ethics Committee
more likely to be included in the study, while milder cases (ky-2023-0827) and the requirement for patient consent
may be under-represented. This can lead to an over - or was waived.
under-estimation of the scoring system’s performance.
Second, despite the use of multicenter data, the sample Consent for publication
size was relatively small, which may have led to overfitting. Not applicable.
In addition, the validation cohort showed slightly lower
predictive accuracy than the training cohort, potentially Availability of data
due to its smaller size, which increases variability and bias. The data and materials supporting the conclusion of this
Future studies should focus on conducting prospective, article can be provided by the author upon reasonable
multicenter, large-scale studies to confirm the robustness request.
and generalizability of the scoring system. Moreover,
incorporating more diverse patient populations, including References
different ethnic groups and those with comorbidities, can
further improve the scoring system’s applicability. 40 1. Taylor HS, Kotlyar AM, Flores VA. Endometriosis is a
chronic systemic disease: Clinical challenges and novel
5. Conclusion innovations. Lancet. 2021;397(10276):839-852.
doi: 10.1016/S0140-6736(21)00389-5
In summary, we developed a CT feature-based
scoring system for the differential diagnosis of ovarian 2. Chapron C, Marcellin L, Borghese B, Santulli P. Rethinking
endometriotic cysts and ovarian cystadenomas. The mechanisms, diagnosis and management of endometriosis.
system integrates five key variables: elevated CA125 Nat Rev Endocrinol. 2019;15(11):666-682.
levels, age (21 – 50 years), wall thickness ≥2 mm, mild to doi: 10.1038/s41574-019-0245-z

Volume 9 Issue 2 (2025) 139 doi: 10.36922/ejmo.8507