Algorithm of Laparascopy Choice in Ovarian Mass Surgery According to Malignancy Probability Score

Document Type : Original Article (s)

Authors

1 Professor, Department of Gyneco-oncology, Preventative Gynecology Research Center (PGRC), Imam Hossein Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2 Fellowship Resident, Department of Gyneco-oncology, Preventative Gynecology Research Center (PGRC), Imam Hossein Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 Resident, Department of Gyneco-oncology, Preventative Gynecology Research Center (PGRC), Imam Hossein Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4 Department of Statistics and Epidemiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background: Use of laparoscopy in gynecologic surgeries, including adnexal masses, has increased in recent years. The present research intended to study the role of laparoscopy in adnexal masses surgery.Methods: The algorithm for the use and role of laparoscopy in adnexal masses surgery was designed via using first, the model of Ovarian Malignancy Prediction Score (OMPS1) according to findings related to age and ultrasound with high sensitivity and then, the model of OMPS2 (a more specific model).Findings: In case, the surgeon possesses the skill for the level three of laparoscopy, the patients with OMPS1 of less than 2.3 (rule out of malignancy) may undergo laparoscopy. As concerns other cases, provided that frozen section is available, surgery starts with laparoscopy and shall continue up to the end with complete staging, in case the surgeon possesses the skill for the level four of laparoscopy.Conclusion: In adnexal masses surgery, management of the patients is determined via using frozen section and on the basis of the clinical guideline and this method may be used depending on the skill the surgeon possesses for laparoscopy.

Keywords

References

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Journal of Isfahan Medical School
Volume 33, Issue 327 - Serial Number 327
January and February 2015
Pages 336-345

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History

  • Receive Date: 22 January 2015
  • Revise Date: 01 November 2024
  • Accept Date: 06 April 2022

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