Apparent diffusion coefficient histograms may predict low‐grade glioma subtype

Tozer, Daniel J.; Jäger, Hans Rolf; Danchaivijitr, Nasuda; Benton, Christopher E.; Tofts, PS; Rees, Jeremy; Waldman, Adam D.

doi:10.1002/nbm.1091

Cited by 141 publications

(104 citation statements)

References 23 publications

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“…Oligodendroglial tumours with intact 1p/19q were more likely to have a higher maximum and histogram ADC and a greater ADC transition coefficient (ATC) (Figure 5e,f). Similarly, Tozer et al [172] have reported that low-grade oligodendrogliomas had a lower ADC histogram than astrocytomas. These differences may reflect the cellularity of these tumours, as astrocytomas have a tendency towards lower cell density and to be more cystic than oligodendrogliomas, whereas tumours with intact 1p/19q are more likely to show infiltrative growth patterns [12].…”

Section: P/19q Genotypementioning

confidence: 84%

Biology, genetics and imaging of glial cell tumours

Walker¹,

Baborie²,

Crooks³

et al. 2011

BJR

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ABSTRACT. Despite advances in therapy, gliomas remain associated with poor prognosis. Clinical advances will be achieved through molecularly targeted biological therapies, for which knowledge of molecular genetic and gene expression characteristics in relation to histopathology and in vivo imaging are essential. Recent research supports the molecular classification of gliomas based on genetic alterations or gene expression profiles, and imaging data supports the concept that molecular subtypes of glioma may be distinguished through non-invasive anatomical, physiological and metabolic imaging techniques, suggesting differences in the baseline biology of genetic subtypes of infiltrating glioma. Furthermore, MRI signatures are now being associated with complex gene expression profiles and cellular signalling pathways through genome-wide microarray studies using samples obtained by image guidance which may be co-registered with clinical imaging. In this review we describe the pathobiology, molecular pathogenesis, stem cells and imaging characteristics of gliomas with emphasis on astrocytomas and oligodendroglial neoplasms.

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Section: P/19q Genotypementioning

confidence: 84%

Biology, genetics and imaging of glial cell tumours

Walker¹,

Baborie²,

Crooks³

et al. 2011

BJR

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“…The histographic analysis approach has been applied mainly in brain imaging. For example, Tozer et al (33) showed that ADCs below the 50th percentile histographic mode and skewness allowed discrimination between astrocytomas and oligodendrogliomas. In body imaging, Kyriazi et al (34) showed an increase in ADCs and a later decrease in skewness and kurtosis in response to chemotherapy in patients GENITOURINARY IMAGING: Myometrial and Lymphovascular Invasion and Endometrial Tumor Grade Nougaret et al with metastatic ovarian and primary peritoneal cancer.…”

Section: Author Contributionsmentioning

confidence: 99%

Endometrial Cancer: Combined MR Volumetry and Diffusion-weighted Imaging for Assessment of Myometrial and Lymphovascular Invasion and Tumor Grade

Nougaret¹,

Reinhold²,

AlSharif³

et al. 2015

Radiology

141

114

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Purpose:To investigate magnetic resonance (MR) volumetry of endometrial tumors and its association with deep myometrial invasion, tumor grade, and lymphovascular invasion and to assess the value of apparent diffusion coefficient (ADC) histographic analysis of the whole tumor volume for prediction of tumor grade and lymphovascular invasion. Materials and Methods:The institutional review board approved this retrospective study; patient consent was not required. Between May 2010 and May 2012, 70 women (mean age, 64 years; range, 24-91 years) with endometrial cancer underwent preoperative MR imaging, including axial oblique and sagittal T2-weighted, dynamic contrast material-enhanced, and diffusion-weighted imaging. Volumetry of the tumor and uterus was performed during the six sequences, with manual tracing of each section, and the tumor volume ratio (TVR) was calculated. ADC histograms were generated from pixel ADCs from the whole tumor volume. The threshold of TVR associated with myometrial invasion was assessed by using receiver operating characteristic curves. An independent sample Mann Whitney U test was used to compare differences in ADCs, skewness, and kurtosis between tumor grade and the presence of lymphovascular invasion. Results:No significant difference in tumor volume and TVR was found among the six MR imaging sequences (P = .95 and .86, respectively). A TVR greater than or equal to 25% allowed prediction of deep myometrial invasion with sensitivity of 100% and specificity of 93% (area under the curve, 0.96; 95% confidence interval: 0.86, 0.99) at axial oblique diffusion-weighted imaging. A TVR of greater than or equal to 25% was associated with grade 3 tumors (P = .0007) and with lymphovascular invasion (P , .0001).There was no significant difference in the ADCs between grades 1 and 2 tumors (P . .05). The minimum, 10th, 25th, 50th, 75th, and 90th percentile ADCs were significantly lower in grade 3 tumors than in grades 1 and 2 tumors (P , .02). Conclusion:The combination of whole tumor volume and ADC can be used for prediction of tumor grade, lymphovascular invasion, and depth of myometrial invasion.q RSNA, 2015

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“…The apparent diffusion coefficient (ADC) can then be calculated from the DWI images (11). Tozer et al (12) suggested an apparent diffusion coefficient histogram analysis as a possible method to predict low-grade glioma subtypes. Khayal et al (13) showed a significant difference in median ADC values between ODs and ACs, with a large range of values within each lesion.…”

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confidence: 99%

Characterization of low‐grade gliomas using RGB color maps derived from ADC histograms

Khayal

Nelson

2009

Magnetic Resonance Imaging

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Purpose: To use normalized apparent diffusion coefficient (nADC) histograms from patients with grade II oligodendroglioma (OD) and astrocytoma (AC) to generate RGB color maps that emphasize the differences between normal-appearing white matter (NAWM), oligo-like, and astro-like regions. Materials and Methods: NAWM and nonenhancing lesion (NEL) ADC values from 19ODs and 11 ACs were summed to generate oligo-like (red), NAWM (green), and astro-like (blue) nADC histograms. These nADC histograms were then used to map nADC values to an RGB matrix.Results: Color maps of oligodendroglial tumor regions were generally visualized in pink, while color maps of astrocytic tumor regions showed various shades of blue. This technique was also applied to 23 patients with the more mixed subtype, oligoastrocytoma (OA), which showed a mixture of both blue and pink, which in many cases appeared to bleed into each other and were blotchy. Conclusion:This technique allows for the visualization of biologically different regions within the whole tumor mass, which may aid in directing image-guided biopsies. This can be used to ensure that the biopsy is directed to regions that can more accurately define the dominant tumor characteristics.

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Apparent diffusion coefficient histograms may predict low‐grade glioma subtype

Cited by 141 publications

References 23 publications

Biology, genetics and imaging of glial cell tumours

Biology, genetics and imaging of glial cell tumours

Endometrial Cancer: Combined MR Volumetry and Diffusion-weighted Imaging for Assessment of Myometrial and Lymphovascular Invasion and Tumor Grade

Characterization of low‐grade gliomas using RGB color maps derived from ADC histograms

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