Improved differentiation between hepatic hemangioma and metastases on diffusion-weighted MRI by measurement of standard deviation of apparent diffusion coefficient

Hardie, Andrew D.; Egbert, R.; Rissing, Michael S.

doi:10.1016/j.clinimag.2015.04.001

Cited by 14 publications

(10 citation statements)

References 13 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ADC values have been widely used in quantitative analyses of liver lesions; in the past, 1.5T scanners were more often used for liver DWI, but 3.0T systems are now increasingly applied . Therefore, it is clinically important to ascertain whether ADC values obtained at different field strengths can be quantitatively analyzed together.…”

Section: Discussionmentioning

confidence: 99%

Quantitative comparison of MR diffusion‐weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum‐spot ADC, the largest possible solid part, and the maximum diameter in lesions

Yanhua

Wang

et al. 2016

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Quantitative comparison of MR diffusion‐weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum‐spot ADC, the largest possible solid part, and the maximum diameter in lesions

Yanhua

Wang

et al. 2016

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…Based on two-dimensional (2D) imaging measurements, Hardie et al. (16) found that ADC SD values were significantly higher in metastatic tumors than in hepatic hemangioma, and there was no overlap between the two groups. They explained that although hepatic hemangioma contains some structures, its internal components are similar and tend to show homogeneity, resulting in low ADC SD values.…”

Section: Discussionmentioning

confidence: 99%

“…To the best of our knowledge, no prior reports have predicted tumor grades based on ADC SD alone. However, some studies have found that ADC SD (16) and the SD of Hounsfield units (HU) (17) can be used to reflect tissue heterogeneity. Moreover, histogram texture analysis has shown that there is a significant correlation between the SD of the ADC map and tumor heterogeneity (12,13).…”

Section: Introductionmentioning

confidence: 99%

Is the standard deviation of the apparent diffusion coefficient a potential tool for the preoperative prediction of tumor grade in endometrial cancer?

et al. 2020

View full text Add to dashboard Cite

Background The tumor histological grade is closely related to the prognosis of endometrial cancer (EC). The use of the apparent diffusion coefficient (ADC), tumor volume, and MRI-based texture analysis has allowed exciting advances in predicting EC grade before surgery. However, whether this constitutes a simple, convenient, and powerful diagnostic method remains unknown. Purpose To explore the utility of standard deviation (SD) of the ADC (ADCSD) for predicting the tumor grade in patients with EC. Material and Methods We retrospectively evaluated 138 patients with EC. All patients underwent unenhanced MRI and diffusion-weighted imaging (DWI). The mean ADC value (ADCmean) and SD were obtained using a freehand region of interest traced on the ADC map. Spearman’s linear correlation coefficients were calculated to analyze the correlations between the indexes (including ADCSD and the ADCmean) and the Ki-67 index. The Kruskal–Wallis and Mann–Whitney U tests were used to compare differences in the index results among tumor grades. Results A significant difference in ADCSD was observed among the tumor grades ( P=0.000), and the ADCSD value was significantly higher for high-grade EC than for low-grade tumors (289.7 vs. 216.3×10−6mm2 /s, P=0.000). A statistically significant positive correlation was observed between ADCSD and the Ki-67 index (r=0.364, P=0.000). According to the receiver operating characteristic curve, ADCSD ≥240.2×10−6mm2 /s predicted high-grade EC with a sensitivity, specificity, and accuracy of 73.1%, 80.2%, and 77.5%, respectively. Conclusion Based on the intratumor heterogeneity of EC, ADCSD represents a potential method for the preoperative prediction of high-grade EC, although further studies are needed.

show abstract

“…On the DWI, the lesion’s SI was high on DWI with the b-value of 1000 s/mm 2 , and the ADC of the liver lesion was higher than that of the liver parenchyma. 27 , 28 If a lesion’s SI was high on DWI with the b-value of 1000 s/mm 2 and the ADC of a liver lesion was equal to or lower than that of the liver parenchyma, the lesion was diagnosed as a metastatic tumor. If there was a divergence in judgement between the two sequences during the interpretation of the combination of 3D FS-T2WI and T2FFE imaging or of the combination of 3D FS-T2WI and DWI with the b-value of 1000 s/mm 2 and an ADC map, the findings obtained with the T2FFE imaging and the DWI/ADC map were prioritized.…”

Section: Methodsmentioning

confidence: 99%

Differentiating Liver Hemangioma from Metastatic Tumor Using T2-enhanced Spin-echo Imaging with a Time-reversed Gradient-echo Sequence in the Hepatobiliary Phase of Gadoxetic Acid-enhanced MR Imaging

et al. 2022

View full text Add to dashboard Cite

Purpose: To evaluate the utility of T2-enhanced spin-echo imaging using the time-reversed gradient echo sequence (T2FFE imaging) in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI (Gd-EOB-MRI) for differentiating hemangiomas from metastatic tumors. Methods: A total of 61 patients with 133 liver lesions, including 37 hemangiomas and 96 metastatic tumors, were scanned by Gd-EOB-MRI. Four data sets were independently analyzed by two readers: (1) 3D fat-suppressed T2-weighted imaging (FS-T2WI) alone; (2) the combination of 3D FS-T2WI and T2FFE imaging in the HBP of Gd-EOB-MRI; (3) the combination of 3D FS-T2WI, diffusion-weighted imaging (DWI) with the b-value of 1000 s/mm 2 and the apparent diffusion coefficient (ADC); and (4) a dynamic study of Gd-EOB-MRI. After classifying the lesion sizes as ≤ 10 mm or > 10 mm, we conducted a receiver-operating characteristic analysis to compare diagnostic accuracies among the four data sets for differentiating hemangiomas from metastatic tumors. Results: The areas under the curves (AUCs) of the four data sets of two readers were: (1) ≤ 10 mm (0.85 and 0.91) and > 10 mm (0.88 and 0.97), (2) ≤ 10 mm (0.94 and 0.94) and > 10 mm (0.96 and 0.95), (3) ≤ 10 mm (0.90 and 0.87) and > 10 mm (0.89 and 0.95), and (4) ≤ 10 mm (0.62 and 0.67) and > 10 mm (0.76 and 0.71), respectively. Data sets (2) and (3) showed no significant differences in AUCs, but both showed significantly higher AUCs compared to that of (4) regardless of the lesion size ( P < 0.05). Conclusion: The combination of 3D FS-T2WI and T2FFE imaging in the HBP of Gd-EOB-MRI achieved an accuracy equivalent to that of the combination of 3D FS-T2WI, DWI, and ADC and might be helpful in differentiating hemangiomas from metastatic tumors.

show abstract

Improved differentiation between hepatic hemangioma and metastases on diffusion-weighted MRI by measurement of standard deviation of apparent diffusion coefficient

Cited by 14 publications

References 13 publications

Quantitative comparison of MR diffusion‐weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum‐spot ADC, the largest possible solid part, and the maximum diameter in lesions

Quantitative comparison of MR diffusion‐weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum‐spot ADC, the largest possible solid part, and the maximum diameter in lesions

Is the standard deviation of the apparent diffusion coefficient a potential tool for the preoperative prediction of tumor grade in endometrial cancer?

Differentiating Liver Hemangioma from Metastatic Tumor Using T2-enhanced Spin-echo Imaging with a Time-reversed Gradient-echo Sequence in the Hepatobiliary Phase of Gadoxetic Acid-enhanced MR Imaging

Contact Info

Product

Resources

About