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- 저자 : Anne van Altena (검색결과 1 건)
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Lara Burg,Maite Timmermans,Maaike van der Aa,Dorry Boll,Koen Rovers,Ignace de Hingh,Anne van Altena 대한부인종양학회 2020 Journal of Gynecologic Oncology Vol.31 No.5
Objective: Peritoneal metastases (PM) are a challenge in gynecological cancers, but itsappearance has never been described in a population-based study. Therefore, we describe theincidence of PM and identify predictors that increase the probability of peritoneal spread. Methods: All ovarian, endometrial and cervical cancer patients diagnosed in the Netherlandsbetween 1989 and 2015 were identified from the Netherlands Cancer Registry and stratifiedfor PM. Crude and age-adjusted incidence over time was calculated. Independent predictorsfor PM were identified using uni- and multivariable analyses. Results: The 94,981 patients were diagnosed with ovarian, endometrial or cervicalcancer and respectively 61%, 2% and 1% presented with PM. Predictors for PM in ovariancancer were: age between 50 and 74 years (odds ratio [OR]=1.19; 95% confidence interval[CI]=1.08–1.32), other distant metastases (OR=1.25; 95% CI=1.10–1.41), poor differentiationgrade (OR=2.00; 95% CI=1.73–2.32) and serous histology. Predictors in endometrial cancerwere lymph node metastases (OR=2.32; 95% CI=1.65–3.26), other distant metastases(OR=1.38; 95% CI=1.08–1.77), high-grade tumors (OR=1.95; 95% CI=1.38–2.76) and clearcell (OR=1.49; 95% CI=1.04–2.13) or serous histology (OR=2.71; 95% CI=2.15–3.42). Incervical cancer, the risk is higher in adenocarcinoma than in squamous cell carcinoma(OR=4.92; 95% CI=3.11–7.79). Conclusion: PM are frequently seen in patients with ovarian cancer. In endometrial andcervical cancer PM are rare. Histological subtype was the strongest predictive factor for PMin all 3 cancers. Better understanding of predictive factors for PM and thus the biologicalbehavior is of paramount importance.
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