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Gynecol Oncol ; 68(3): 220-5, 1998 Mar.
Article in English | MEDLINE | ID: mdl-9570969

ABSTRACT

OBJECTIVE: To determine if the quantity of lymph-vascular space invasion influences the risk of pelvic nodal metastases in women with early-stage cervical squamous carcinoma. METHODS: Between 1991 and 1997, 105 women with stages IA2, Ib, and IIa squamous carcinoma of the cervix underwent radical hysterectomy and pelvic lymphadenectomy. The histopathology slides were prospectively reviewed. If lymph-vascular space invasion (LVSI) was present, the amount was quantified in four ways: percentage of cervical histopathologic sections containing LVSI, percentage of sections with tumor containing LVSI, total number of foci of LVSI, and maximal number of foci of LVSI in 10 high-powered fields. These measures of LVSI were correlated with the risk of nodal metastases. RESULTS: Seventy-three (70%) women had tumors with LVSI. Of these, 23 had pelvic nodal metastases. All women with nodal metastases had tumors with LVSI. Using logistic regession, independent predictors of nodal metastases were depth of cervical stromal invasion (P = 0.01) and tumor size (P = 0.04). LVSI was also a significant predictor of nodal metastases based on the Mantel-Haenszel test (P = 0.01). In women whose tumors contained LVSI, logistic regression identified tumor size (P = 0.004) and LVSI in > 45% of all cervical histopathologic sections (P = 0.002) as significant predictors of nodal metastases. CONCLUSION: The quantity of LVSI, as defined by the percentage of all cervical histopathologic sections containing LVSI, correlates significantly with the risk of nodal metastases in women with early-stage squamous carcinoma of the cervix.


Subject(s)
Carcinoma, Squamous Cell/pathology , Lymphatic System/pathology , Uterine Cervical Neoplasms/pathology , Adult , Aged , Biopsy , Carcinoma, Squamous Cell/surgery , Female , Humans , Hysterectomy , Lymph Node Excision , Lymphatic Metastasis , Middle Aged , Neoplasm Invasiveness , Neoplasm Staging , Prospective Studies , Regression Analysis , Risk Factors , Uterine Cervical Neoplasms/surgery
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