Journal List > Korean J Obstet Gynecol > v.55(12) > 1088572

Lee, Chae, Jeong, Kwon, Kim, Kim, and Kang: A clinical review of uterine lipoleiomyoma: A study for value and limitations of radiologic evaluation in preoperative diagnosis of lipoleiomyoma

Abstract

Objective

The present analysis was performed to confirm clinical characteristics of lipoleiomyoma, and to understand the usefulness and limitations of radiologic evaluation in preoperative diagnosis. Finally, the objective of the study is to provide reliable information to establish a treatment plan.

Methods

A retrospective review was conducted on 51 patients, who had lipoleiomyoma as pathologic diagnosis after operation at Asan Medical Center from 1995 to 2009. Clinical characteristics were obtained by review of medical record. Radiologic findings and pathologic data were also obtained.

Results

The patient's ages ranged from 29 to 82 years, with a mean of 52.1±10.8 years. The mean tumor size was 5.6 ± 3.5 cm (range, 1-15 cm). Forty six patients (90%) had their tumors in the uterine corpus, and 3 patients (6%) had their tumors in the broad ligament. One in the cervix and one retroperitoneal tumor beneath posterior cul-de-sac were indentified. All patients underwent ultrasound, computed tomography (CT) or magnetic resonance imaging (MRI). Before surgery, 7 patients (14%) were diagnosed with lipoleiomyoma and 8 patients (16%) were diagnosed with ovarian tumors. No tumor was reported to have any cytological atypia, necrosis or other degenerative changes. There were no recurrence or fatalities related to tumor.

Conclusion

Lipoleiomyoma is a rare, benign, uterine neoplasm that requires no treatment when asymptomatic. The fatty nature of the tumor is valuable in preoperative diagnosis with CT and MRI. But the extrauterine lipoleiomyoma including broad ligament can especially resemble ovarian teratoma. Pathological examination of the surgically excised tumor confirmed the diagnosis.

Figures and Tables

Table 1
Patients characteristics (n = 51)
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Table 2
Age distribution (n = 51)
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Table 3
Symptoms
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Table 4
Site distribution (n = 51)
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Table 5
Diagnostic image modality (n = 51)
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