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Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization

(1) Background: Astrocytic gliomas present overlapping appearances in conventional MRI.
Supplementary techniques are necessary to improve preoperative diagnostics. Quantitative DWI via
the computation of apparent diffusion coefficient (ADC) histograms has proven valuable for tumor
characterization and prognosis in this regard. Thus, this study aimed to investigate (I) the potential of
ADC histogram analysis (HA) for distinguishing low-grade gliomas (LGG) and high-grade gliomas
(HGG) and (II) whether those parameters are associated with Ki-67 immunolabelling, the isocitratedehydrogenase-1 (IDH1) mutation profile and the methylguanine-DNA-methyl-transferase (MGMT)
promoter methylation profile; (2) Methods: The ADC-histograms of 82 gliomas were computed.
Statistical analysis was performed to elucidate associations between histogram features and WHO
grade, Ki-67 immunolabelling, IDH1 and MGMT profile; (3) Results: Minimum, lower percentiles
(10th and 25th), median, modus and entropy of the ADC histogram were significantly lower in
HGG. Significant differences between IDH1-mutated and IDH1-wildtype gliomas were revealed for
maximum, lower percentiles, modus, standard deviation (SD), entropy and skewness. No differences
were found concerning the MGMT status. Significant correlations with Ki-67 immunolabelling
were demonstrated for minimum, maximum, lower percentiles, median, modus, SD and skewness;
(4) Conclusions: ADC HA facilitates non-invasive prediction of the WHO grade, tumor-proliferation
rate and clinically significant mutations in case of astrocytic gliomas.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:87809
Date01 November 2023
CreatorsGihr, Georg, Horvath-Rizea, Diana, Kohlhof-Meinecke, Patricia, Ganslandt, Oliver, Henkes, Hans, Härtig, Wolfgang, Donitza, Aneta, Skalej, Martin, Schob, Stefan
PublisherMDPI
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation3393

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