Apparent diffusion coefficients measured using different regions of interest in differentiating borderline from malignant ovarian tumors.
Apparent diffusion coefficients measured using different regions of interest in differentiating borderline from malignant ovarian tumors. Acta Radiol. 2018 Oct 18;:284185118805272 Authors: Lu JJ, Pi S, Ma FH, Zhang GF, Wei Qiang J Abstract Background Apparent diffusion coefficients (ADCs) measured using different regions of interest (ROIs) are widely used in differentiating ovarian tumors. Purpose To evaluate the diagnostic performance of ADCs with different ROIs in differentiating borderline ovarian tumors (BOTs) from malignant ovarian tumors (MOTs). Material and Methods Thirty-five BOTs and 54 MOTs who underwent diffusion-weighted magnetic resonance imaging (MRI) were evaluated retrospectively. ADC values were independently measured using five ROI methods: round; rectangle; hot-spot; edge drawing; and five sample ROIs. The inter- and intraclass correlation coefficients (ICCs), one-way analysis of variance, receiver operating characteristic curve analysis, and unpaired t-tests were used to perform the statistical analyses. Results The measurement reproducibility of the minimum ADC and mean ADC values were good or excellent for BOTs and MOTs (ICC = 0.70-0.95). The minimum and mean ADC value by the edge drawing ROI were significantly higher than those of the other ROI methods (both P
Conclusion: The texture analysis for breast DCE-MRI proposed in this study demonstrated potential utility in HER2 2+ status discrimination. Background Human epidermal growth factor receptor 2 (HER2) is an orphan tyrosine kinase receptor. It is reported that HER2 is overexpressed in 15–20% of breast cancers. Overexpression of HER2 in breast cancer correlates with shortened disease-free survival. Compared with HER2-negative patients, patients with HER2-positive breast cancers have a poor prognosis, a high probability of lymph node metastasis and a high risk of recurrence (1–3). However, previous studies h...
Conclusions The imaging features of seromucinous tumors varied by tumor type. More than half of tumors were accompanied by endometriosis. High T2-weighted SI of the solid portion could be a specific feature of borderline tumors. It is hard to differentiate seromucinous carcinomas from other endometriosis-related carcinomas.
Journal of Magnetic Resonance Imaging, EarlyView.
ConclusionsThe MR findings suggesting malignant transformation were emergence of a solid portion and increase in cyst size. Disappearance of shading also facilitates the follow-up of endometriotic cysts.
Conclusions The MR findings suggesting malignant transformation were emergence of a solid portion and increase in cyst size. Disappearance of shading also facilitates the follow-up of endometriotic cysts.
ConclusionsThe IOTA LR2 model had a similar sensitivity to MRI for discriminating between benign and malignant tumors and a higher specificity compared with MRI. Our findings suggest that the IOTA LR2 model, either alone or in conjunction with MRI, should be included in preoperative evaluation of adnexal masses.
Conclusion DCE-MRI sequence is a helpful adjunct to conventional MRI for discrimination of inconclusive ovarian masses into benign, borderline and invasive malignant tumors.
ConclusionsThe diagnosis of ovarian mucinous borderline tumor accompanied by LGESS with myxoid change was appropriate.
PurposeTo evaluate the value of quantifying dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) heterogeneity to characterize adnexal masses. Materials and MethodsOur database was retrospectively queried to identify all surgically proven adnexal masses characterized with a 1.5T DCE‐MRI between January 1st 2008 and February 28th 2010 (n = 113 masses, including 52 benign, 11 borderline, and 50 invasive malignant tumors). The solid component of the adnexal mass was segmented. Quantitative analysis with a compartmental model was performed to calculate microvascular parameters, including tissue bl...
PurposeTo investigate the use of diffusion kurtosis imaging (DKI) in differentiating borderline from malignant epithelial ovarian tumors (MEOTs) and to correlate DKI parameters with Ki‐67 expression. Materials and MethodsFifty‐two consecutive patients with epithelial ovarian tumors (17 borderline epithelial ovarian tumors, BEOTs; 35 MEOTs) were prospectively evaluated using DKI with b values of 0, 500, 1000, 1500, 2000, and 2500 s/mm2 and standard diffusion‐weighted imaging (DWI) with b values of 0 and 1000 s/mm2 using a 1.5T magnetic resonance imaging (MRI) unit. The kurtosis (K) and diffusion coefficient (D) from D...