DIFFERENTIATION BETWEEN MALIGNANT AND BENIGN OVARIAN TUMORS BY MAGNETIC RESONANCE IMAGING
Chinese Medical Sciences JournalVol. 0, Issue 4, Pages: 270-275(2006)
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DIFFERENTIATION BETWEEN MALIGNANT AND BENIGN OVARIAN TUMORS BY MAGNETIC RESONANCE IMAGING
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CLC:R737.31
Published:2006
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DIFFERENTIATION BETWEEN MALIGNANT AND BENIGN OVARIAN TUMORS BY MAGNETIC RESONANCE IMAGING[J]. Chinese medical sciences journal, 2006, 0(4): 270-275.
DOI:
DIFFERENTIATION BETWEEN MALIGNANT AND BENIGN OVARIAN TUMORS BY MAGNETIC RESONANCE IMAGING[J]. Chinese medical sciences journal, 2006, 0(4): 270-275.DOI:
DIFFERENTIATION BETWEEN MALIGNANT AND BENIGN OVARIAN TUMORS BY MAGNETIC RESONANCE IMAGING
摘要
Abstract
Objective To determine the magnetic resonance (MR) imaging findings of an ovarian mass which are most predictive of malignancy and assess the value of intravenous gadolinium administration in the characterization of an ovarian mass. Methods Totally 74 consecutive patients with a clinically or sonographically indeterminate adnexal mass underwent MR imaging
of whom 59 had subsequent surgical resection of 70 adnexal masses. These 59 patients formed the study population. MR imaging studies were prospectively and independently reviewed by a senior and a junior radiologist. The senior radiologist also reevaluated the studies in a blind fashion after a minimum 6 months interval. The sensitivity
specificity
positive predictive value
and negative predictive value of contrast-enhanced and unenhanced MR imaging were evaluated. Results The most predictive MR imaging findings for malignancy were presence of vegetations in a cystic lesion and presence of necrosis in a solid lesion. The odds ratio was even higher when the ancillary finding of peritoneal metastasis or ascites was present. Contrast media contributed significantly to lesion characterization. Total 70 ovarian masses were detected by contrast-enhanced MR imaging including 37 malignant ovarian masses and 33 benign ovarian masses with 87% (61/70) accuracy
86% (32/37) sensitivity
88% (29/33) specificity
89% (32/36) positive predictive value
and 85% (29/34) negative predictive value
whereas 70 ovarian masses were detected by unenhanced MR imaging with 74% (52/70) accuracy
73% (27/37) sensitivity
76% (25/33) specificity
77% (27/35) positive predictive value
and 71% (25/35) negative predictive value. There were significant differences in accuracy (P<0.01)
sensitivity (P<0.01)
specificity (P<0.01) between contrast-enhanced and unenhanced MR imaging. Conclusion Contrast-enhanced MR imaging is highly accurate in detection and characterization of complex adnexal masses.