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Whole-volume diffusion kurtosis magnetic resonance (MR) imaging histogram analysis of non–small cell lung cancer: correlation with histopathology and degree of tumor differentiation.
- Source :
-
Clinical Radiology . Aug2024, Vol. 79 Issue 8, pe1072-e1080. 9p. - Publication Year :
- 2024
-
Abstract
- To evaluate the role of diffusion kurtosis imaging (DKI) histogram analysis in the characterization of non–small cell lung cancer (NSCLC) and to correlate DKI parameters with tumor cellularity. Sixty-four patients with pathologically diagnosed NSCLCs were evaluated by DKI on a 3-T scanner. Regions of interest (ROIs) were drawn on the map of b 1000 manually. All NSCLCs were histologically graded according to the degree of tumor differentiation. Tumor cellularity was measured by the nuclear-to-cytoplasm (N/C) ratio and the number of tumor cell nuclei (NTCN), the expression of Ki-67 was detected using the streptavidin-peroxidase method. Histogram analysis was performed using voxel-based on raw data from each ROI. NSCLCs were classified as grades 1, 2, and 3 according to differentiation degree. Histogram parameters of apparent diffusion coefficient (ADC) and DKI could discriminate between different grades of tumors (p<0.001). Receiver operating characteristic (ROC) curve analysis showed that K app 75th exhibited the best performance with an AUC of 0.936 and sensitivity/specificity of 95.74%/80% (p<0.001) in distinguishing grade 1 from grade 2, ADC mean exhibited the best performance with an AUC of 0.923 and sensitivity/specificity of 92.33%/86.67% (p<0.001) in distinguishing grade 2 from 3. N/C ratio and Ki-67 changed significantly with grade (p<0.01). Negative correlations were found between the ADC mean and the N/C ratio, Ki-67, D app mean and N/C ratio, whereas K app mean and N/C ratio, Ki-67 were positively correlated. DKI histogram analysis could quantitatively characterize NSCLC with different grades by probing non-Gaussian diffusion properties related to changes in the tumor microenvironment or tissue complexities in the tumor. • DKI histogram analysis can differentiate different grades of NSCLC. • DKI parameters are correlated with tumor N/C ratio and Ki-67 index. • Tumor water molecules non-Gaussian diffusion can evaluate tumor cell structure. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00099260
- Volume :
- 79
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Clinical Radiology
- Publication Type :
- Academic Journal
- Accession number :
- 178292052
- Full Text :
- https://doi.org/10.1016/j.crad.2024.04.018