Mucinous Adenocarcinoma Involving the Ovary: Comparing Evaluation of the Classification Algorithms Using Tumor Size and Laterality
ES Jung, JH Bae, A Lee, YJ Choi, JS Park, KY Lee. Kangnam St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea
Background: When intraoperative consultation of mucinous adenocarinoma involving the ovary, it would be useful to have additional approaching methods other then limited microscopic findings to determine the nature of the ovarian mucinous tumor, which is rarely encountered and notorious for difficulty in distinction of primary and metastatic tumor.
Design: The mucinous adenocarcinoma involving the ovary including 91 cases of metastatic mucinous adenocarcinomas and 20 cases of primary mucinous adenocarcinomas was evaluated with original algorithm (unilateral tumors 10cm are primary and the remaining are metastatic) and cut-off size modified algorithms.
Results: With the 10cm, 13cm and 15cm size cut-off, the algorithm correctly classified the primary or metastatic tumors in 82.0%, 86.5% and 88.3%, including 90%, 75% and 65% of primary tumors and 80.2%, 89.0% and 93.4% of metastatic tumors, respectively. Using Khunamornpong's modified algorithm (all bilateral tumors or unilateral tumors <10cm are metastatic, unilateral tumors 15cm are primary, and unilateral tumors with size between 10cm and 15cm are inderminate), 91.5% (86/94) were correctly classified and 15.3% (17/111) belonged to indeterminate.
Conclusions: The diagnostic algorithm using size and laterality, in addition to clinical history, preoperative image findings, operative findings, is a useful adjunct tool to differentiate metastatic mucinous adenocarcioma from primary mucinous adenocarcinoma of the ovary.
Wednesday, March 11, 2009 9:30 AM
Poster Session V # 145, Wednesday Morning