Synopsis
Because of the overlap in the imaging appearances of the benign, borderline,
and malignant tumors, a considerable portion of cystic epithelial ovarian tumors(EOT)
cannot be correctly diagnosedon conventional MR imaging. Recently,
the rapid development of software and hardware has enabled the increasing application
of proton magnetic resonance spectroscopy (1H-MRS) in
ovarian tumors. However, 1H-MRS studies are still preliminary. To our knowledge, in vivo 1H-MRS differentiation of a single type of histopathological and morphological tumors has not yet been studied. We prospectively performed in vivo 1H-MRS of 86 patients with cystic EOT to understand the spectroscopic characteristics of
different types of tumors and to investigate the ability of 1H-MRS in the differentiation
of benign, borderline and malignant EOT. The results shows that 1H-MRS
patterns of benign, borderline and malignant cystic
EOT are different. The Cho/Cr ratio increases with the higher malignancy and a high Cho peak
indicates a malignant tumor. A significantly elevated NAA peak indicates a
borderline tumor.Purpose:To investigate the ability
of proton magnetic resonance spectroscopy (1H-MRS) in the differentiation
of benign, borderline and malignant epithelial cystic ovarian tumors.
Materials
and methods: Eighty-six patients with 93 surgically and histologically proven epithelial
cystic ovarian tumors (33 benign, 29 borderline and 31 malignant) underwent
conventional MR imaging and 1H-MRS. MR features such as tumor size,
shape, signal, mural nodule and enhancement were recorded and compared by
Pearson Chi-square χ2. Multi-voxel 2D-chemical shift imaging (CSI) was performed using the point
resolved spectroscopy respectively. Resonance peak integrals of choline (Cho), N-acetyl aspartate (NAA), creatine (Cr),
lactate (Lac), and lipid (Lip) were analyzed and the Cho/Cr, NAA/Cr, Lac/Cr and
Lip/Cr ratios were recorded and compared between benign, borderline and malignant
tumors using one-way ANOVA. Receiver
operating characteristic (ROC) curves were used to evaluate the diagnostic
performance of 1H-MRS in
the differentiation of benign,
borderline and malignant EOT.
Results: The significant
differences among benign, borderline and malignant tumors were found in the
shape, mural nodule, signal intensity of cystic components on T1WI, and
enhancement (P=0.000,0.000,0.012,0.000, respectively). The sensitivity,
specificity and accuracy of conventional MRI to differentiate between benign
and malignant cystic tumors were 85% (28/33), 90% (26/29) and 87% (54/62); between
benign and malignant tumors were 91% (30/33), 94% (29/31) and 92% (59/64);
between borderline and malignant tumors were 79% (23/29), 74% (23/31) and 77%
(46/60). The mean and range of Cho/Cr ratio of benign, borderline and malignant
tumors were 1.39±0.9 (95% CI:
1.06~1.72), 3.31±1.6 (95% CI: 2.69~3.93) and 5.51±2.2 (95% CI:
4.64~6.38), respectively. There were statistically significant differences between
the three groups (all P<0.05). The mean and range of NAA/Cr ratio of benign, borderline and
malignant tumors were 2.54±2.2 (95% CI:
1.73~3.35), 9.43±5.4 (95% CI: 7.34~11.51) and 2.85±2.4 (95% CI:
2.21~3.50), respectively. Statistically significant differences were found between borderline
and benign groups (P=0.000), between borderline and malignant groups (P=0.000).
However, there was no statistically significant difference between benign and
malignant groups (P=0.722). Area under the curves (AUC)
of the Cho/Cr and NAA/Cr ratios were 0.900 and 0.903for differentiating benignfrom
borderline tumors; 0.816 and 0.888 for differentiating
borderline frommalignant tumors, respectively.
Conclusions: The 1H-MRS patterns of benign, borderline and malignant
epithelial ovarian cystic tumors are different. The
Cho/Cr ratio increases with the higher malignancy and a
high Cho peak indicates a malignant tumor. A significantly higher NAA peak
indicates a borderline tumor.
Acknowledgements
No acknowledgement found.References
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