Evaluation of Alcazar Scoring System to Differentiate Between Benign and Malignant Ovarian Masses- A Nepalese Perspective

  • Rupesh Sharma Lumbini Medical College and Teaching Hospital, Pravas, Palpa https://orcid.org/0000-0002-3422-6150
  • Deepak Shrestha Lumbini Medical College and Teaching Hospital https://orcid.org/0000-0002-9006-3640
  • Krishna Thapa Lumbini Medical College and Teaching Hospital
  • Kiran Bhandari Lumbini Medical College and Teaching Hospital
Keywords: Alcazar scoring system, Doppler, Histopathology, Ovarian mass

Abstract

Introduction: Ovarian cancer is the fifth most common cancer in Nepalese females and the tenth overall, accounting for 5% of the total new cases of cancer in females in 2020. Ultrasonography (USG) remains the primary tool for the diagnosis and characterization of ovarian masses in which many grey-scale and Doppler characteristics are evaluated. Various scoring systems have been described incorporating different USG parameters to differentiate the benign and malignant nature of ovarian masses. Alcazar scoring system includes both grey-scale as well as Doppler characteristics of the ovarian masses and is one of the more widely used systems worldwide. Methods: This was an observational cross-sectional study based on 52 consecutive patients who were clinically suspected to have ovarian mass and referred for USG evaluation and who subsequently underwent surgery.Results:As confirmed by histopathology, 37 cases were benign and 15 were malignant masses. Alcazar system of scoring identified 34 out of 37 benign cases and 15 out of 15 malignant cases with sensitivity and specificity for diagnosing malignant cases of 83.3% and 91.1% respectively. Conclusion: Alcazar system of scoring is a highly effective tool to differentiate between benign and malignant ovarian masses and can be of great help in diagnosis, characterization and effective preoperative planning.

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Author Biographies

Rupesh Sharma, Lumbini Medical College and Teaching Hospital, Pravas, Palpa

Assistant Professor,

Department of Radio-diagnosis and Imaging.

Deepak Shrestha, Lumbini Medical College and Teaching Hospital

Assistant Professor,

Department of Obstetrics and Gynaecology.

Krishna Thapa, Lumbini Medical College and Teaching Hospital

Lecturer,

Department of Radiodiagnosis and Imaging.

Kiran Bhandari, Lumbini Medical College and Teaching Hospital

Resident,

Department of Radiodiagnosis and Imaging.

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Published
2022-01-14
How to Cite
1.
Sharma R, Shrestha D, Thapa K, Bhandari K. Evaluation of Alcazar Scoring System to Differentiate Between Benign and Malignant Ovarian Masses- A Nepalese Perspective. J Lumbini Med Coll [Internet]. 14Jan.2022 [cited 17Jan.2022];9(2):5 pages. Available from: https://jlmc.edu.np/index.php/JLMC/article/view/468
Section
Original Research Article