Feasibility of Evaluating the Histologic and Genetic Subtypes of WHO Grade II-IV Gliomas by Diffusion-Weighted Imaging

2021 ◽  
Author(s):  
Sirui Liu ◽  
Yiwei Zhang ◽  
Ziren Kong ◽  
Chendan Jiang ◽  
Yu Wang ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Tumor Grade ◽  
Low Grade ◽  
Characteristic Analysis ◽  
Who Grade ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Grade Ii ◽  
Tert Mutation

Abstract Background: To explore the feasibility of diffusion-weighted imaging (DWI) metrics to predict the histologic subtypes and genetic status of gliomas (e.g., IDH, MGMT, and TERT) noninvasively.Methods: One hundred and eleven patients with pathologically confirmed WHO grade II-IV gliomas were recruited retrospectively. Apparent diffusion coefficient (ADC) values were measured in solid parts of gliomas on co-registered T2-weighted images and were compared with each other in terms of WHO grading and genotypes using t-tests. Receiver operating characteristic analysis was performed to assess the diagnostic performances of ADC. Subsequently, multiple linear regression was used to find independent variables, which can directly affect ADC values. Results: The values of overall mean ADC (omADC) and normalized ADC (nADC) of high grade gliomas and IDH wildtype gliomas were lower than low grade gliomas and IDH mutated gliomas (P<0.05). nADC values showed better diagnostic performance than omADC in identifying tumor grade (AUC: 0.787 vs. 0.750) and IDH status (AUC: 0.836 vs. 0.777). ADC values had limited abilities in distinguishing TERT status (AUC=0.607 for nADC and 0.617 for omADC) and MGMT status (AUC=0.651 for nADC). Only tumor grade and IDH status were tightly associated with ADC values.Conclusion: DWI metrics can predict glioma grading and IDH mutation noninvasively, but have limited use in detecting TERT mutation and MGMT methylation.

Feasibility of Evaluating the Histologic and Genetic Subtypes of WHO Grade II-IV Gliomas by Diffusion-Weighted Imaging

2020 ◽  
Author(s):  
Sirui Liu ◽  
Yiwei Zhang ◽  
Ziren Kong ◽  
Chendan Jiang ◽  
Yu Wang ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Tumor Grade ◽  
Lower Grade ◽  
Characteristic Analysis ◽  
Who Grade ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Grade Ii ◽  
Tert Mutation

Abstract Background: To explore the feasibility of diffusion-weighted imaging (DWI) metrics in order to predict the histologic subtypes and genetic status (e.g., IDH, MGMT, and TERT) of glioma noninvasively.Methods: One hundred and eleven patients with pathologically confirmed WHO grade II-IV gliomas were recruited retrospectively. Apparent diffusion coefficient (ADC) values were measured in solid parts of gliomas on co-registered T2-weighted images and were compared with each other in terms of WHO grading and genotypes using t tests. Receiver operating characteristic analysis was performed to assess the diagnostic performances of ADC. Subsequently, multiple linear regression was used to find independent variables, which can affect ADC values.Results: The values of overall mean ADC (omADC) and normalized ADC (nADC) of glioblastoma and IDH wildtype gliomas were lower than lower grade gliomas and IDH mutated gliomas (P<0.05). nADC values showed better diagnostic performance than omADC in identifying tumor grade (AUC: 0.749 vs. 0.716) and IDH status (AUC: 0.836 vs. 0.777). ADC values had limited abilities in distinguishing TERT status (AUC=0.607 for nADC and 0.617 for omADC) and MGMT status (AUC=0.651 for nADC). Only tumor grade and IDH status were tightly associated with ADC values.Conclusion: DWI metrics can predict glioma grading and IDH mutation noninvasively, but has limited use in the detection of TERT mutation and MGMT methylation.

Effects of contrast-enhancement on diffusion weighted imaging and apparent diffusion coefficient measurements in 3-T magnetic resonance imaging of breast lesions

2017 ◽  
Vol 59 (8) ◽  
pp. 902-908
Author(s):  
Valentina Cipolla ◽  
Daniele Guerrieri ◽  
Giacomo Bonito ◽  
Simone Celsa ◽  
Carlo de Felice
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Breast Lesions ◽  
Post Contrast ◽  
Diffusion Weighted ◽  
Signed Rank ◽  
Apparent Diffusion ◽  
Malignant Breast ◽  
Adc Values

Background The effect of gadolinium-based contrast agents on diffusion-weighted imaging (DWI) measurements of breast lesions is still not clear. Purpose To investigate gadolinium effects on DWI and apparent diffusion coefficient (ADC) in breast lesions and normal parenchyma with 3 Tesla contrast-enhanced MRI. Material and Methods Pre- and post-contrast DWI (b = 0 and b = 1000 s/mm2) were acquired in 47 patients. Measured ADC values, pre- and post-contrast T2 signal intensity (T2 SI) and contrast-to-noise ratio (CNR) were compared with Wilcoxon signed-rank and rank-sum test ( P < 0.05). Results Post-contrast ADC was reduced only in malignant lesions (−34%), T2 SI was reduced both in malignant (−50%) and benign (−36%) lesions. Post-contrast CNR was reduced in all groups except for benign lesions. Conclusion Gadolinium-based contrast agent causes a significant reduction in ADC values of malignant breast lesions.

scholarly journals The Influence of Bowel Preparation on ADC Measurements: Comparison between Conventional DWI and DWIBS Sequences

Medicina ◽  
2019 ◽  
Vol 55 (7) ◽  
pp. 394
Author(s):  
Ilze Apine ◽  
Monta Baduna ◽  
Reinis Pitura ◽  
Juris Pokrotnieks ◽  
Gaida Krumina
Keyword(s):  
Bowel Preparation ◽  
Diffusion Weighted Imaging ◽  
Mr Enterography ◽  
High Signal ◽  
Diffusion Weighted ◽  
Signal Suppression ◽  
Significant Difference ◽  
Before And After ◽  
Apparent Diffusion ◽  
Adc Values

Background and objectives: The aim of the study was to assess whether there were differences between apparent diffusion coefficient (ADC) values of diffusion-weighted imaging (DWI) and diffusion-weighted imaging with background body signal suppression (DWIBS) sequences in non-prepared and prepared bowels before and after preparation with an enteric hyperosmolar agent, to assess whether ADC measurements have the potential to avoid bowel preparation and whether ADC-DWIBS has advantages over ADC-DWI. Materials and Methods: 106 adult patients without evidence of inflammatory bowel disease (IBD) underwent magnetic resonance (MR) enterography before and after bowel preparation. ADC-DWI and ADC-DWIBS values were measured in the intestinal and colonic walls demonstrating high signal intensity (SI) at DWI tracking images of b = 800 s/mm2 before and after preparation. Results: There were significant difference (p < 0.0001) in both ADC-DWI and ADC-DWIBS results between non-prepared and prepared jejunum for DWI being 1.09 × 10−3 mm2/s and 1.76 × 10−3 mm2/s, respectively, and for DWIBS being 0.91 × 10−3 mm2/s and 1.75 × 10−3 mm2/s, respectively. Both ADC-DWI and DWIBS also showed significant difference between non-prepared and prepared colon (p < 0.0001), with DWI values 1.41 × 10−3 mm2/s and 2.13 × 10−3 mm2/s, and DWIBS—1.01 × 10−3 mm2/s and 2.04 × 10−3 mm2/s, respectively. No significant difference between ADC-DWI and ADC-DWIBS was found in prepared jejunum (p = 0.84) and prepared colon (p = 0.58), whereas a significant difference was found in non-prepared jejunum and non-prepared colon (p = 0.0001 in both samples). Conclusions: ADC between DWI and DWIBS does not differ in prepared bowel walls but demonstrates a difference in non-prepared bowel. ADC in non-prepared bowel is lower than in prepared bowel and possible overlap with the ADC range of IBD is possible in non-prepared bowel. ADC-DWIBS has no advantage over ADC-DWI in regard to IBD assessment.

The utility of diffusion-weighted imaging and ADC values in the characterization of mumps orchitis and seminoma

2021 ◽  
pp. 028418512199198
Author(s):  
Renwei Liu ◽  
Jianhua Li ◽  
Yixiang Jiang ◽  
Zhiqing Wu ◽  
Jiayin Ji ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Testicular Tissue ◽  
B Value ◽  
Youden Index ◽  
Characteristic Analysis ◽  
Adc Value ◽  
High B Value ◽  
Diffusion Weighted ◽  
Hyperintense Signal ◽  
Adc Values

Background Diffusion-weighted imaging (DWI) can quantitatively reflect the diffusion characteristics of tissues, providing a theoretical basis for qualitative diagnosis and quantitative analysis of a disease. Purpose To characterize testicular lesions that present as a hypointense signal on magnetic resonance imaging (MRI) T2-weighted images using DWI. Material and Methods Study participants were divided into three groups. Group A were healthy controls (n = 35), group B included patients with mumps orchitis (n = 20), and group C included patients with seminoma (n = 15). DWI sequences used b-values of 0, 1000, and 2000 s/mm2. Apparent diffusion coefficient (ADC) values between 1000 and 2000 s/mm2 were calculated by MRI postprocessing software. The Kruskal–Wallis test and receiver operating characteristic analysis were performed to evaluate how well ADC values distinguished between mumps orchitis and seminoma. Results Normal testicular tissue showed a hyperintense signal on DWI and hypointensity on the ADC map: mean ADC value was 0.77 (0.69–0.85) ± 0.08 ×10−3 mm2/s. Mumps orchitis and seminoma showed slight hyperintensity on DWI: mean ADC values were 0.85 (0.71–0.99) ± 0.15 ×10−3 mm2/s and 0.43 (0.39–0.47) ± 0.04 × 10−3 mm2/s, respectively. There were statistically significant differences in mean ADC values between normal testicular tissue and seminoma and between mumps orchitis and seminoma. The cutoff ADC value for differentiating seminoma from mumps orchitis was 0.54 × 10−3 mm2/s. The sensitivity, specificity, and Youden Index for diagnosing seminoma were 99%, 31%, and 30%, respectively. Conclusion High b-value DWI has potential utility for differentiating mumps orchitis from seminoma in the clinical setting.

scholarly journals Diffusion-Weighted Imaging Reflects Tumor Grading and Microvascular Invasion in Hepatocellular Carcinoma

Liver Cancer ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 10-24
Author(s):  
Alexey Surov ◽  
Maciej Pech ◽  
Jazan Omari ◽  
Frank Fischbach ◽  
Robert Damm ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Microvascular Invasion ◽  
Data Bases ◽  
Tumor Grading ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Adc Values

<b><i>Background:</i></b> To date, there are inconsistent data about relationships between diffusion-weighted imaging (DWI) and tumor grading/microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Our purpose was to systematize the reported results regarding the role of DWI in prediction of tumor grading/MVI in HCC. <b><i>Method:</i></b> MEDLINE library, Scopus, and Embase data bases were screened up to December 2019. Overall, 29 studies with 2,715 tumors were included into the analysis. There were 20 studies regarding DWI and tumor grading, 8 studies about DWI and MVI, and 1 study investigated DWI, tumor grading, and MVI in HCC. <b><i>Results:</i></b> In 21 studies (1,799 tumors), mean apparent diffusion coefficient (ADC) values (ADC<sub>mean</sub>) were used for distinguishing HCCs. ADC<sub>mean</sub> of G1–3 lesions overlapped significantly. In 4 studies (461 lesions), minimum ADC (ADC<sub>min</sub>) was used. ADC<sub>min</sub> values in G1/2 lesions were over 0.80 × 10<sup>−3</sup> mm<sup>2</sup>/s and in G3 tumors below 0.80 × 10<sup>−3</sup> mm<sup>2</sup>/s. In 4 studies (241 tumors), true diffusion (<i>D</i>) was reported. A significant overlapping of <i>D</i> values between G1, G2, and G3 groups was found. ADC<sub>mean</sub> and MVI were analyzed in 9 studies (1,059 HCCs). ADC<sub>mean</sub> values of MIV+/MVI− lesions overlapped significantly. ADC<sub>min</sub> was used in 4 studies (672 lesions). ADC<sub>min</sub> values of MVI+ tumors were in the area under 1.00 × 10<sup>−3</sup> mm<sup>2</sup>/s. In 3 studies (227 tumors), <i>D</i> was used. Also, <i>D</i> values of MVI+ lesions were predominantly in the area under 1.00 × 10<sup>−3</sup> mm<sup>2</sup>/s. <b><i>Conclusion:</i></b> ADC<sub>min</sub> reflects tumor grading, and ADC<sub>min</sub> and <i>D</i> predict MVI in HCC. Therefore, these DWI parameters should be estimated for every HCC lesion for pretreatment tumor stratification. ADC<sub>mean</sub> cannot predict tumor grading/MVI in HCC.

scholarly journals Quantitative Evaluation of apparent diffusion coefficient in a large multi-unit institution using the QIBA diffusion phantom.

2020 ◽  
Author(s):  
Joshua P Yung ◽  
Yao Ding ◽  
Ken-Pin Hwang ◽  
Carlos E Cardenas ◽  
Hua Ai ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Coefficient Of Variation ◽  
Diffusion Weighted Imaging ◽  
Diffusion Weighted ◽  
Apparent Diffusion Coefficient Values ◽  
Wide Range ◽  
Apparent Diffusion ◽  
Adc Values ◽  
The One

Purpose: The purpose of this study was to determine the quantitative variability of diffusion weighted imaging and apparent diffusion coefficient values across a large fleet of MR systems. Using a NIST traceable magnetic resonance imaging diffusion phantom, imaging was reproducible and the measurements were quantitatively compared to known values. Methods: A fleet of 23 clinical MRI scanners was investigated in this study. A NIST/QIBA DWI phantom was imaged with protocols provided with the phantom. The resulting images were analyzed and ADC maps were generated. User-directed region-of-interests on each of the different vials provided ADC measurements among a wide range of known ADC values. Results: Three diffusion phantoms were used in this study and compared to one another. From the one-way analysis of the variance, the mean and standard deviation of the percent errors from each phantom were not significantly different from one another. The low ADC vials showed larger errors and variation and appear directly related to SNR. Across all the MR systems and data, the coefficient of variation was calculated and Bland-Altman analysis was performed. ADC measurements were similar to one another except for the vials with the lower ADC values, which had a higher coefficient of variation. Conclusion: ADC values among the three phantoms showed good agreement and were not significantly different from one another. The large percent errors seen primarily at the low ADC values were shown to be a consequence of the SNR dependence and very little bias was observed between magnetic strengths and manufacturers. ADC values between diffusion phantoms were not statistically significant. Future investigations will be performed to study differences in magnetic field strength, vendor, MR system models, gradients, and bore size. More data across different MR platforms would facilitate quantitative measurements for multi-platform and multi-site imaging studies. With the increasing usage of diffusion weighted imaging in the clinic, the characterization of ADC variability for MR systems provides an improved quality control over the MR systems.

Study of Multi-b-Value Diffusion-Weighted Imaging at 3.0 T for Measuring Renal Function of Patients with Chronic Renal Failure

2014 ◽  
Vol 998-999 ◽  
pp. 320-324
Author(s):  
Jun Lai Xue ◽  
Meng Chao Zhang ◽  
Mao Hua Zhang ◽  
Dong Tong ◽  
Wu Qiang
Keyword(s):  
Renal Function ◽  
Diffusion Weighted Imaging ◽  
Impaired Renal Function ◽  
Filtration Rate ◽  
B Value ◽  
Renal Imaging ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Adc Values ◽  
3.0 T

To investigate the relationship between apparent diffusion coefficient (ADC) values measured by diffusion-weighted imaging (DWI) on a 3.0T MR unit and glomerular filtration rate (GFR) determined by renal imaging using Nuclear Medicine 99 Tcm-DTPA. 3.0T MRI DWI and 99 Tcm-DTPA renal imaging were simultaneously performed in 30 patients with chronic renal failure. The b values set for DWI imaging were 0, 200, 400, 600, 800 and 1000 s/mm2 and the ADC values of renal cortex were measured. 60 kidneys from the patients were classified into three groups according to the measurements of GFR: mildly impaired renal function, moderately impaired renal function and severely impaired renal function. ADC values of the three groups were compared to determine whether there existed statistic difference and the correlation between ADC values and GFR was also measured. Statistical difference was found in ADC values of the three groups and a positive correlation was identified between ADC values and GFR (r = 0.623). Multi-b-value diffusion-weighted MR imaging at 3.0 T can be used to assess renal filtration function.Abbreviation used: DWI, diffusion-weighted imaging; ADC, apparent diffusion coefficient; GFR, glomerular filtration rate; NEX, number of excitation.

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