Clinicopathological study of ovarian tumors
DOI:
https://doi.org/10.18203/2320-1770.ijrcog20260542Keywords:
Socioeconomic status, CA-125, Female reproductive neoplasms, Diagnostic correlation, Abdominal pain, Histopathology, Ultrasonography, Tumor size, Borderline tumor, Ovarian tumors, Clinicopathological study, Benign ovarian tumor, Malignant ovarian tumorAbstract
Background: Ovarian tumors are a significant gynecological concern with high morbidity and mortality due to late-stage diagnosis. Their deep pelvic location and vague early symptoms, such as abdominal pain and bloating, contribute to diagnostic delays. Understanding the clinicopathological profile of ovarian tumors is essential for timely diagnosis, accurate classification, and optimal treatment planning. The aim of the study is to evaluate the clinical presentation and pathological features of ovarian tumors and assess their implications for diagnosis and patient management through a comprehensive clinicopathological study.
Methods: A prospective observational study was conducted over one year in the Department of Obstetrics and Gynecology, LLRM Medical College and SVBP Hospital. Fifty female patients with histopathologically confirmed ovarian tumors were enrolled. Clinical data, imaging findings, and pathological diagnoses were analyzed. Tumor types, symptomatology, and diagnostic correlations were evaluated using SPSS v21.0, with p<0.05 considered statistically significant.
Results: The mean age of patients was 48.3 years. Most belonged to the lower middle socioeconomic class. Abdominal pain (60%) was the most frequent symptom. Benign tumors accounted for 65% of cases, followed by malignant (25%) and borderline (10%). Mean tumor sizes progressively increased from benign to malignant (5.4 cm to 8.9 cm). USG and histopathology findings showed high concordance in malignancy detection but varied slightly for benign and borderline lesions.
Conclusions: Ovarian tumors most commonly present with nonspecific symptoms and are predominantly benign. Tumor size correlates with malignancy. Histopathological confirmation remains essential for accurate diagnosis, reinforcing its role in guiding management.
References
Gupta, S, Mittal R. Ovarian tumors: A review on the clinicopathological features, prognosis, and management strategies. Journal of Obstetrics and Gynaecology Research. 2019;45(6):1185-94.
Singh P, Srivastava A. Ovarian tumors: A comprehensive clinicopathological study and review of molecular mechanisms. Cancer Medicine. 2020;9(18):6645-55.
Sharma P, Arora A. Clinical and pathological aspects of ovarian tumors: Diagnostic challenges and therapeutic implications. Asian Pacific Journal of Cancer Prevention. 2021;22(4):1133-8.
Nair R, Sharma A. Histopathological features and molecular markers of ovarian tumors: Implications for diagnosis and treatment. International Journal of Gynecological Pathology. 2018;37(2):137-45.
Patel R, Sharma R. Ovarian tumors and their clinicopathological characteristics: A study in a tertiary care hospital. Journal of Clinical Pathology and Laboratory Medicine. 2017;20(3):56-64.
Rajwade A, Tiwari N. Clinicopathological features of ovarian tumors and their impact on patient prognosis. Journal of Ovarian Research. 2016;9(1):23-31.
Wiegand K, Kuhl C. Advances in molecular pathology and their role in ovarian cancer diagnosis. American Journal of Obstetrics and Gynecology, 2019;220(5):475-81.
Patel M, O'Connell J. Molecular pathways in ovarian cancer: Clinicopathological and therapeutic implications. Gynecologic Oncology. 2021;162(2):268-77.
Jamwal G, Charak A. Clinical presentations, sociodemographic variables, and prevalence of malignant neoplasms of the ovary in a hospital-based study. Obstet Gynecol SMGS Hosp Gov Med Coll Jammu. 2014-2015;12(3):44-9.
Khound R, Das S, Hazarika P, Das R, Agrawal NK. Clinicopathological study of ovarian neoplasms with special reference to P53 overexpression in epithelial ovarian neoplasms – A hospital-based cross-sectional study. 2020;21(4):985-9
Tjokroprawiro BA, Novitasari K, Ulhaq RA, Sulistya HA. Clinicopathological analysis of giant ovarian tumors. Eur J Obstet Gynecol Reprod Biol X. 2024;22:100318. DOI: https://doi.org/10.1016/j.eurox.2024.100318