Ovarian needle aspiration in the diagnosis and management of ovarian masses.
- Author:
Kimberly NAGAMINE
1
;
Jordan KONDO
;
Ricky KANESHIRO
;
Pamela TAUCHI-NISHI
;
Keith TERADA
Author Information
- Publication Type:Original Article
- Keywords: Needle Biopsy; Ovarian Neoplasms
- MeSH: Biopsy; Biopsy, Needle; Cystadenocarcinoma, Mucinous; Diagnosis*; Needles*; Ovarian Neoplasms; Pathology; Retrospective Studies; Rupture; Selection Bias; Sensitivity and Specificity
- From:Journal of Gynecologic Oncology 2017;28(4):e40-
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Ovarian needle aspiration and biopsy (ONAB) may be employed for pretreatment diagnosis of ovarian malignancies or intraoperatively to facilitate removal of ovarian masses. However, there is reluctance to utilize this procedure due to potential cyst rupture or seeding of malignant cells. The objective of this study was to examine the efficacy of ONAB over a 13-year period at our institution. METHODS: Between 2000 and 2013, all ONAB specimens were identified from the Queen's Medical Center Pathology Department database. All cytologic specimens were reviewed and correlated with histopathologic findings. A retrospective chart review was conducted to retrieve data on clinical course and treatment. RESULTS: This study identified 144 cases of ovarian masses sampled by aspiration or needle biopsy between 2000 and 2013. Ninety-two (64%) cases had corresponding histopathology, 84 (91%) of which were obtained concomitantly. On histology, 12 (13%) cases were malignant and 80 (87%) benign. Three false negative cases were noted; 2 serous borderline tumors and 1 mucinous cystadenocarcinoma. These were sampling errors; no diagnostic tumor cells were present in the aspirates. Sensitivity and specificity of ONAB in the detection of malignancy were 75% and 100%, respectively. The positive and negative predictive values were 100% and 96%, respectively. CONCLUSION: ONAB represents a valuable tool in the diagnosis of malignancy and treatment of ovarian masses. In our study, it was highly specific, with excellent positive and negative predictive value.
