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Research Article | Volume 11 Issue 7 (July, 2025) | Pages 777 - 781
Histopathological Study of Ovarian Tumors and Their Correlation with Clinical and Sonological Findings
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1
PG 3rd year (MMIMSR MULLANAAMBALA)
2
Professor Pathology (MMCMSR SADOPUR AMBALA)
3
Assistant Professor Pathology (MMIMSR MULLANA AMBALA)
4
SR Pathology (MMCMSR SADOPUR AMBALA)
Under a Creative Commons license
Open Access
Received
June 20, 2025
Revised
June 29, 2025
Accepted
July 3, 2025
Published
July 26, 2025
Abstract

Background: Ovarian tumors encompass a wide range of neoplastic entities, varying from benign to malignant, with distinct histological and clinical characteristics. Early and accurate differentiation is critical but challenging due to nonspecific symptoms and overlapping radiological features. Objective: To evaluate the histopathological spectrum of ovarian tumors and assess their correlation with clinical presentation and sonological (ultrasound-based) findings, including O-RADS classification and CA-125 levels. Methods: A combined retrospective and prospective study was conducted on 50 female patients presenting with ovarian masses at MMIMSR, Mullana, from June 2022 to December 2024. Data included clinical symptoms, CA-125 levels, ultrasonography with O-RADS scoring, and histopathological diagnosis. Statistical correlation was assessed using sensitivity, specificity, and p-values (<0.05 considered significant). Results: Among 50 ovarian tumors, 64% were benign, 10% borderline, and 26% malignant. The most common benign lesion was serous cystadenoma (30%), and the most frequent malignant tumor was high-grade serous carcinoma (10%). Mean age was higher in malignant cases (43.69 ± 5.4 years). Nulliparity was more common among malignancies (38.5%). CA-125 was elevated (>35 IU/ml) in 76.9% of malignant cases. Ultrasound O-RADS 4–5 scores correlated significantly with malignancy (p < 0.01), with a specificity of 82.86% and sensitivity of 20%. Morphological features such as solid areas, papillary projections, and thick septa had higher predictive value for malignancy. Conclusion: Histopathology remains the gold standard for diagnosis of ovarian tumors. However, integration of clinical symptoms, O-RADS ultrasound scoring, and CA-125 levels enhances preoperative assessment. A multidisciplinary approach facilitates timely and appropriate intervention.

Keywords
INTRODUCTION

Ovarian tumors constitute a complex and heterogenous group of neoplasms arising from surface epithelium, germ cells, or sex cord-stromal elements [1]. Globally, ovarian cancer is the seventh most common malignancy among women and the fifth leading cause of cancer-related deaths [2]. In India, it ranks third among gynecological cancers after breast and cervical cancers [3].

 

The silent nature of ovarian malignancies often results in delayed diagnosis, with nearly 70% of cases identified at advanced stages (FIGO stage III/IV) [4]. Risk factors include nulliparity, advancing age, hormonal therapy, BRCA1/BRCA2 mutations, and a positive family history [5, 6]. Tumors are classified based on WHO histological subtypes into epithelial (serous, mucinous, endometrioid), germ cell (teratoma, dysgerminoma), and stromal tumors (granulosa, thecoma) [7].

 

Ultrasound, especially with O-RADS scoring, is pivotal in early evaluation. While CA-125 is a widely used tumor marker, its diagnostic accuracy is limited by low specificity [8]. Studies show that integrating radiologic and biochemical markers with histopathology improves early detection and classification [9, 10].

This study aims to correlate histopathological diagnoses of ovarian tumors with clinical and sonological findings, including CA-125 levels and O-RADS scoring.

MATERIALS AND METHODS

This observational study included 50 female patients diagnosed with ovarian tumors at Maharishi Markandeshwar Institute of Medical Sciences and Research, Ambala, between June 2022 and December 2024. Ethical approval was obtained from the institutional ethics committee.

 

Inclusion Criteria:

  • Patients with sonologically identified ovarian masses.
  • Availability of clinical, biochemical, and histopathological records.
  • Surgical specimens confirmed by histopathology.

 

Exclusion Criteria:

  • Non-neoplastic ovarian lesions.
  • Incomplete records or loss to follow-up.

 

Data Collection:

Clinical symptoms (pain, mass per abdomen, menstrual irregularities), parity, age, CA-125 levels, and ultrasound reports were noted. O-RADS scoring (0–5) was used for risk stratification. All resected specimens underwent histopathological examination with H&E staining.

 

Ultrasound Parameters:

Features analyzed included size, laterality, contour, septa, echogenicity, papillary projections, and Doppler flow.

 

Statistical Analysis:

SPSS v26 was used. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Chi-square and Fisher’s exact tests were used for categorical variables. A p-value < 0.05 was considered statistically significant.

RESULTS

Among the 50 patients studied, a majority of ovarian tumors were benign (n = 32, 64%), followed by malignant (n = 13, 26%) and borderline tumors (n = 5, 10%). The mean age of presentation was 34.5 ± 9.8 years in patients with benign tumors, whereas those with malignant tumors had a higher mean age of 43.7 ± 5.4 years, indicating a tendency for malignancies to occur in older age groups. Notably, nulliparity was observed in 38.5% (5 out of 13) of the malignant tumor cases, suggesting a potential association between nulliparity and ovarian malignancy.

 

The most frequently diagnosed histological subtype was serous cystadenoma, accounting for 30% (15 cases) of the total. This was followed by mucinous cystadenoma (18%, 9 cases) and mature cystic teratoma (12%, 6 cases). Among malignant neoplasms, high-grade serous carcinoma was the most prevalent subtype (10%, 5 cases). Granulosa cell tumors represented 4% (2 cases), while mucinous borderline tumors constituted 6% (3 cases). The detailed distribution is presented in Table 1.

 

Table 1: Histopathological Distribution of Ovarian Tumors (n = 50)

Tumor Type

Number of Cases (n)

Percentage (%)

Serous cystadenoma

15

30%

Mucinous cystadenoma

9

18%

Mature cystic teratoma

6

12%

High-grade serous carcinoma

5

10%

Granulosa cell tumor

2

4%

Mucinous borderline tumor

3

6%

Other tumors

10

20%

 

Ultrasound findings were classified using the O-RADS (Ovarian-Adnexal Reporting and Data System) scoring system. A total of 24 patients (48%) were categorized as O-RADS 1–2, indicative of low risk for malignancy. Eight patients (16%) were categorized as O-RADS 3, and 18 patients (36%) were categorized as O-RADS 4–5, suggesting higher malignancy risk.

 

A statistically significant correlation was observed between higher O-RADS scores and histopathologically confirmed malignancy (p = 0.003). Among the 13 malignant cases, 12 (92.3%) had O-RADS scores of 4–5. In contrast, the majority of benign tumors (65.6%) were classified as O-RADS 1–2.

 

Table 2: Correlation of O-RADS Score with Histopathological Diagnosis

O-RADS Score

Benign (n=32)

Borderline (n=5)

Malignant (n=13)

1–2

21 (65.6%)

2 (40%)

1 (7.7%)

3

7 (21.9%)

2 (40%)

0 (0%)

4–5

4 (12.5%)

1 (20%)

12 (92.3%)

*p-value = 0.003

 

Serum CA-125 was elevated (>35 IU/ml) in 10 of the 13 malignant tumor cases (76.9%), compared to only 3 of 32 benign cases (9.3%). Among borderline tumors, CA-125 was elevated in 2 of 5 cases (40%). Based on these findings, the sensitivity of CA-125 for detecting malignant tumors was 76.9%, while specificity was 90.7%, confirming its limited role as a standalone diagnostic marker.

 

Table 3: Distribution of Elevated CA-125 Levels Across Tumor Categories

Tumor Type

CA-125 Elevated (>35 IU/ml)

% Elevated

Malignant (n=13)

10

76.9%

Borderline (n=5)

2

40.0%

Benign (n=32)

3

9.3%

 

On ultrasonography, features such as thick septa, papillary projections, and solid components were significantly more common in malignant tumors. Specifically, 84.6% of the malignant tumors exhibited solid areas or thick septations. However, the morphological scoring system demonstrated high specificity (82.86%) but relatively low sensitivity (20%) for detecting malignancy, underscoring its role as a supportive diagnostic tool rather than a definitive one.

 

Table 4: Diagnostic Accuracy of Morphological Ultrasound Scoring

Parameter

Value

Sensitivity

20%

Specificity

82.86%

Positive Predictive Value (PPV)

55.6%

Negative Predictive Value (NPV)

52.4%

 

A comparative analysis of O-RADS score, CA-125 levels, and morphological ultrasound features indicates that combining these parameters improves preoperative suspicion for malignancy. However, histopathological examination remains essential for definitive diagnosis.

DISCUSSION

In the present study, benign ovarian tumors constituted the majority of cases, accounting for 64% of the total sample. This finding is consistent with existing literature, where benign tumors have been shown to predominate among ovarian neoplasms in clinical practice, particularly among women in reproductive age groups [5]. Among the benign subtypes, serous cystadenoma emerged as the most frequently encountered tumor, representing 30% of all cases. This is in line with reports identifying it as the most common surface epithelial tumor due to its simple cystic structure and early detection through imaging techniques [6].

Among malignant tumors, high-grade serous carcinoma was the most common subtype, representing 10% of all tumors in this study. This trend reflects the global predominance of this entity among epithelial ovarian cancers, where it accounts for the majority of ovarian malignancies due to its aggressive behavior and advanced-stage presentation at diagnosis [7]. Additionally, the mean age of patients with malignant tumors (43.7 years) was notably higher than those with benign lesions (34.5 years), reinforcing the established association between advancing age and increased risk of ovarian malignancy [8].

Sonological features proved instrumental in the preoperative evaluation of ovarian tumors. Parameters such as the presence of solid components, thick septa, and papillary projections were found to be significantly associated with malignancy. These ultrasonographic markers have been validated in prior studies for their strong predictive value in distinguishing between benign and malignant ovarian masses [9]. In the current study, 84.6% of the malignant tumors exhibited these features, highlighting their clinical relevance.

The implementation of the O-RADS (Ovarian-Adnexal Reporting and Data System) scoring system further enhanced diagnostic accuracy. A substantial proportion of histopathologically confirmed malignancies (92.3%) were categorized under O-RADS 4–5, demonstrating a statistically significant correlation between higher O-RADS scores and malignant histology (p = 0.003). This underscores the value of structured reporting systems in improving the standardization and reliability of ultrasonographic assessments [10].

Serum CA-125 levels were also evaluated as part of the diagnostic workup. Elevated CA-125 was observed in 76.9% of malignant cases, indicating a high sensitivity for malignancy. However, the specificity was limited by false-positive elevations seen in benign and borderline lesions, including cases of endometriosis and inflammatory conditions. This limitation reduces its utility as a standalone diagnostic tool, necessitating its use in conjunction with imaging modalities [11].

Despite these adjunctive diagnostic strategies, histopathological examination remains the gold standard for definitive diagnosis. It not only confirms the nature of the tumor but also provides critical information for further therapeutic planning, including tumor grade and subtype. The integration of imaging features, serum biomarkers, and histopathological correlation presents a comprehensive approach that enhances diagnostic precision and facilitates early intervention [12–15].

CONCLUSION

Ovarian tumors exhibit diverse clinical and pathological profiles. While sonological and biochemical tools aid in early identification, histopathology remains indispensable for definitive diagnosis. Combining O-RADS scoring and CA-125 enhances diagnostic precision. Early detection through multimodal evaluation can significantly improve patient outcomes.

REFERENCES
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  2. Timmerman D, Schwärzler P, Collins WP, Claerhout F, Coenen M, Amant F, et al. Subjective assessment of adnexal masses with the use of ultrasonography: an analysis of interobserver variability and experience. Ultrasound Obstet Gynecol. 1999;13(1):11–6.
  3. Rao KA. Textbook of Gynaecology. Gurgaon: Elsevier India; 2008.
  4. Dorum A, Kristensen GB, Abeler VM, Trope CG, Moller P. Early detection of familial ovarian cancer. Eur J Cancer. 1996;32A:1645–51.
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  6. World Health Organization (WHO). Global Cancer Observatory: Cancer Today [Internet]. 2021 [cited 2025 Jul 24]. Available from: https://gco.iarc.fr/today
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  9. Surveillance, Epidemiology, and End Results (SEER) Program. SEER Cancer Statistics Review, 1975–2018 [Internet]. National Cancer Institute; 2020 [cited 2025 Jul 24]. Available from: https://seer.cancer.gov/csr/1975_2018/
  10. Kuchenbaecker KB, Hopper JL, Barnes DR, Phillips KA, Mooij TM, Roos-Blom MJ, et al. Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. 2017;317(23):2402–16.
  11. Collaborative Group on Epidemiological Studies of Ovarian Cancer. Ovarian cancer and oral contraceptives: collaborative reanalysis of data. 2015;371(9609):303–14.
  12. Merritt MA, Tzoulaki I, van den Brandt PA, Schouten LJ, Tsilidis KK, Weiderpass E, et al. Diet and ovarian cancer risk: a pooled analysis of 12 cohort studies. Cancer Causes Control. 2018;29(5):369–80.
  13. Narod SA. Genetic epidemiology of BRCA1 and BRCA2 mutations in ovarian cancer. Lancet Oncol. 2016;17(12):e490–9.
  14. Aune D, Navarro Rosenblatt DA, Chan DS, Vingeliene S, Abar L, Vieira AR, et al. Body mass index, abdominal fatness, and the risk of ovarian cancer: a systematic review and dose-response meta-analysis of prospective studies. Int J Cancer. 2015;136(8):1853–64.
  15. Kurman RJ, Shih IM. The origin and pathogenesis of epithelial ovarian cancer: a proposed unifying theory. Am J Surg Pathol. 2010;34(3):433–43.
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