| Title |
Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis
|
|---|---|
| Published in |
European Radiology, March 2018
|
| DOI | 10.1007/s00330-018-5351-0 |
| Pubmed ID | |
| Authors |
S. C. Thust, S. Hassanein, S. Bisdas, J. H. Rees, H. Hyare, J. A. Maynard, S. Brandner, C. Tur, H. R. Jäger, T. A. Yousry, L. Mancini |
| Abstract |
To investigate if quantitative apparent diffusion coefficient (ADC) measurements can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole tumour against single slice analysis. Volumetric T2-derived masks of 44 gliomas were co-registered to ADC maps with ADC mean (ADCmean) calculated. For the slice analysis, two observers placed regions of interest in the largest tumour cross-section. The ratio (ADCratio) between ADCmeanin the tumour and normal appearing white matter was calculated for both methods. Isocitrate dehydrogenase (IDH) wild-type gliomas showed the lowest ADC values throughout (p < 0.001). ADCmeanin the IDH-mutant 1p19q intact group was significantly higher than in the IDH-mutant 1p19q co-deleted group (p < 0.01). A volumetric ADCmeanthreshold of 1201 × 10-6mm2/s identified IDH wild-type with a sensitivity of 83% and a specificity of 86%; a volumetric ADCratiocut-off value of 1.65 provided a sensitivity of 80% and a specificity of 92% (area under the curve (AUC) 0.9-0.94). A slice ADCratiothreshold for observer 1 (observer 2) of 1.76 (1.83) provided a sensitivity of 80% (86%), specificity of 91% (100%) and AUC of 0.95 (0.96). The intraclass correlation coefficient was excellent (0.98). ADC measurements can support the distinction of glioma subtypes. Volumetric and two-dimensional measurements yielded similar results in this study. • Diffusion-weighted MRI aids the identification of non-gadolinium-enhancing malignant gliomas • ADC measurements may permit non-gadolinium-enhancing glioma molecular subtyping • IDH wild-type gliomas have lower ADC values than IDH-mutant tumours • Single cross-section and volumetric ADC measurements yielded comparable results in this study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 14 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 31% |
| Neuroscience | 7 | 16% |
| Nursing and Health Professions | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2018.
All research outputs
#14,843,455
of 23,028,364 outputs
Outputs from European Radiology
#2,308
of 4,172 outputs
Outputs of similar age
#198,109
of 331,443 outputs
Outputs of similar age from European Radiology
#42
of 80 outputs
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