Can parametrectomy be avoided in early cervical cancer? An algorithm for the identification of patients at low risk for parametrial involvement

O. Gemer, R. Eitan, M. Gdalevich, A. Mamanov, B. Piura, A. Rabinovich, H. Levavi, B. Saar-Ryss, R. Halperin, S. Finci, U. Beller, I. Bruchim, T. Levy, I. Ben Shachar, A. Ben Arie, O. Lavie

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Aims: To assess the rate of parametrial involvement in a large cohort of patients who underwent radical hysterectomy for cervical cancer and to suggest an algorithm for the triage of patients to simple hysterectomy or simple trachelectomy. Methods: Multicenter retrospective study of patients with cervical cancer stage I through IIA who underwent radical hysterectomy and pelvic lymphadenectomy. The patients were divided into 2 groups according to whether or not the parametrium was involved. The two groups were compared with regard to the clinical and histopathological variables. Logistic regression of the variables potentially assessable prior to definitive hysterectomy such as age, tumor size, lymph-vascular space invasion (LVSI) and nodal involvement was performed. Results: Five hundred and thirty patients had specific histological data on parametrial involvement and in 58 (10.9%) patients, parametria was involved. Parametrial involvement was significantly associated with older age, tumors larger than 2 cm, deeper invasion, LVSI, involved surgical margins, and the presence of nodal metastasis. By triaging patients with a tumor ≤2 cm and no LVSI, the parametrial involvement rate was 1.8% (2/112 patients). With further triage of patients with negative nodes, the rate of parametrial involvement was 0% (0/107 patients). Conclusion: Using a pre-operative triage algorithm, patients with early small lesions, no LVSI and no nodal involvement may be spared radical surgical procedures and parametrectomy. Further prospective data are urgently needed.

Original languageEnglish
Pages (from-to)76-80
Number of pages5
JournalEuropean Journal of Surgical Oncology
Volume39
Issue number1
DOIs
StatePublished - 1 Jan 2013

Keywords

  • Cervical cancer
  • Decision algorithm
  • Pathology
  • Surgery

ASJC Scopus subject areas

  • Surgery
  • Oncology

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