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EP261 Cervical cancer tumor size evaluated by preoperative estimation and final pathology report after radical operative procedure and the correlation to survival
  1. SF Bjørn1,
  2. CK Høgdall1 and
  3. TH Schnack2
  1. 1Copenhagen University Hospital | Gynecology
  2. 2Gynecology, Rigshospitalet, Copenhagen, Denmark


Introduction/Background Tumor-size is an important factor in the managing of early cervical cancer (early-CC). We aimed to evaluate the correlation between the predicted preoperative tumor size and the histologic tumor size and to examine the impact of tumor size on survival.

Methodology Data on early-CC was retrieved from the Danish Gynecologic Cancer Database (DGCD) and validated against patient files early-CC patients (N=479) treated by radical trachelectomy (n=182) or radical hysterectomy (n=297) at University Hospital Copenhagen 2005–2018. Categorical variables were evaluated by Chi-Square test. Survival estimates were evaluated using in Kaplan Meier or Cox regression analyses.

Results Among patients treated by radical trachelectomy or hysterectomy 91.4% and 73.4% of tumors were correctly predicted to ≤2 cm, while 50% and 75.5% of tumors were correctly categorized to >2 cm preoperatively as compared to the finale pathological examination (table 1).

In univariate analysis the cancer specific survival differed significantly according to predicted as well as histologic tumor size p-value=0.03 and p=0.0001, respectively. In adjusted Cox analysis histologic tumor size (size ≤2 cm vs. >2 cm) was associated with a decrease in the cancer specific survival (HR=5.67; 95% CI: 1,78–18.09). No significant association was found with preoperative predicted tumor size and cancer specific survival.

Conclusion In patient with trachelectomy tumor size ≤2 cm mainly based on cone biopsies are successfully predicted in 91.4% Whereas the prediction of tumor size in patients referred to radical hysterectomy ≤2 cm or >2 is less precise: 73.4% and 75.5%, respectively. Increasing histologic tumor size was associated with a decrease in cancer specific survival.

Imaging like MR-scans may improve the preoperative prediction of tumor size in patients referred to radical hysterectomy and thus, the handling and treatment of early-CC.

Disclosure Nothing to disclose.

Abstract EP261 Table 1

correlation between predicte clinical tumor size and tumor size at the finale pathological examination

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