scholarly journals Histogram analysis of diffusion kurtosis imaging of nasopharyngeal carcinoma: Correlation between quantitative parameters and clinical stage

Oncotarget ◽  
2017 ◽  
Vol 8 (29) ◽  
pp. 47230-47238 ◽  
Author(s):  
Xiao-Quan Xu ◽  
Gao Ma ◽  
Yan-Jun Wang ◽  
Hao Hu ◽  
Guo-Yi Su ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Clinical Stage ◽  
Histogram Analysis ◽  
Diffusion Kurtosis Imaging ◽  
Quantitative Parameters ◽  
Diffusion Kurtosis

Whole brain atlas-based diffusion kurtosis imaging parameters for evaluation of minimal hepatic encephalopathy

2021 ◽  
pp. 197140092110269
Author(s):  
Prateek Gupta ◽  
Sameer Vyas ◽  
Teddy Salan ◽  
Chirag Jain ◽  
Sunil Taneja ◽  
...  
Keyword(s):  
Hepatic Encephalopathy ◽  
Clinical Symptoms ◽  
Early Stage ◽  
Imaging Techniques ◽  
Clinical Stage ◽  
Minimal Hepatic Encephalopathy ◽  
Brain Atlas ◽  
Diffusion Kurtosis Imaging ◽  
Whole Brain ◽  
Diffusion Kurtosis

Background and purposes Minimal hepatic encephalopathy (MHE) has no recognizable clinical symptoms, but patients have cognitive and psychomotor deficits. Hyperammonemia along with neuroinflammation lead to microstructural changes in cerebral parenchyma. Changes at conventional imaging are detected usually at the overt clinical stage, but microstructural alterations by advanced magnetic resonance imaging techniques can be detected at an early stage. Materials and methods Whole brain diffusion kurtosis imaging (DKI) data acquired at 3T was analyzed to investigate microstructural parenchymal changes in 15 patients with MHE and compared with 15 age- and sex-matched controls. DKI parametric maps, namely kurtosis fractional anisotropy (kFA), mean kurtosis (MK), axial kurtosis (AK) and radial kurtosis (RK), were evaluated at 64 white matter (WM) and gray matter (GM) regions of interest (ROIs) in the whole brain and correlated with the psychometric hepatic encephalopathy score (PHES). Results The MHE group showed a decrease in kFA and AK across the whole brain, whereas MK and RK decreased in WM ROIs but increased in several cortical and deep GM ROIs. These alterations were consistent with brain regions involved in cognitive function. Significant moderate to strong correlations (–0.52 to –0.66; 0.56) between RK, MK and kFA kurtosis metrics and PHES were observed. Conclusion DKI parameters show extensive microstructural brain abnormalities in MHE with minor correlation between the severity of tissue damage and psychometric scores.

scholarly journals Early Stage Markers of Late Delayed Neurocognitive Decline Using Diffusion Kurtosis Imaging of Temporal Lobe in Nasopharyngeal Carcinoma Patients

2020 ◽  
Vol 11 (20) ◽  
pp. 6168-6177
Author(s):  
Gang Wu ◽  
Shi-shi Luo ◽  
Priya S Balasubramanian ◽  
Gan-mian Dai ◽  
Rui-rui Li ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Temporal Lobe ◽  
Early Stage ◽  
Diffusion Kurtosis Imaging ◽  
Diffusion Kurtosis ◽  
Neurocognitive Decline

Histogram analysis in prostate cancer: a comparison of diffusion kurtosis imaging model versus monoexponential model

2020 ◽  
Vol 61 (10) ◽  
pp. 1431-1440
Author(s):  
Yuwei Jiang ◽  
Chunmei Li ◽  
Ying Liu ◽  
Kaining Shi ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Histogram Analysis ◽  
Diffusion Kurtosis Imaging ◽  
Single Shot ◽  
Diagnostic Efficiency ◽  
Planar Imaging ◽  
Significant Difference ◽  
Monoexponential Model ◽  
The Mean ◽  
Diffusion Kurtosis

Background There is still little research about histogram analysis of diffusion kurtosis imaging (DKI) using in prostate cancer at present. Purpose To verify the utility of histogram analysis of DKI model in detection and assessment of aggressiveness of prostate cancer, compared with monoexponential model (MEM). Material and Methods Twenty-three patients were enrolled in this study. For DKI model and MEM, the Dapp, Kapp, and apparent diffusion coefficient (ADC) were obtained by using single-shot echo-planar imaging sequence. The pathologies were confirmed by in-bore magnetic resonance (MR)-guided biopsy. Regions of interest (ROI) were drawn manually in the position where biopsy needle was put. The mean values and histogram parameters in cancer and noncancerous foci were compared using independent-samples T test. Receiver operating characteristic curves were used to investigate the diagnostic efficiency. Spearman’s test was used to evaluate the correlation of parameters and Gleason scores. Results The mean, 10th, 25th, 50th, 75th, and 90th percentiles of ADC and Dapp were significantly lower in prostate cancer than non-cancerous foci ( P < 0.001). The mean, 50th, 75th, and 90th percentiles of Kapp were significantly higher in prostate cancer ( P < 0.05). There was no significant difference between the AUCs of two models (0.971 vs. 0.963, P > 0.05). With the increasing Gleason scores, the 10th ADC decreased ( ρ = −0.583, P = 0.018), but the 90th Kapp increased ( ρ = 0.642, P = 0.007). Conclusion Histogram analysis of DKI model is feasible for diagnosing and grading prostate cancer, but it has no significant advantage over MEM.

Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery

2017 ◽  
Vol 28 (4) ◽  
pp. 1748-1755 ◽  
Author(s):  
Xi-Xun Qi ◽  
Da-Fa Shi ◽  
Si-Xie Ren ◽  
Su-Ya Zhang ◽  
Long Li ◽  
...  
Keyword(s):  
Histogram Analysis ◽  
Diffusion Kurtosis Imaging ◽  
High Grade ◽  
High Grade Gliomas ◽  
Diffusion Kurtosis

scholarly journals Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Hui Xie ◽  
Guangyao Wu
Keyword(s):  
Rectal Cancer ◽  
Lymph Node ◽  
Rectal Adenocarcinoma ◽  
Area Under The Curve ◽  
Histogram Analysis ◽  
Diffusion Kurtosis Imaging ◽  
Diagnostic Efficiency ◽  
Significant Difference ◽  
Adc Values ◽  
Diffusion Kurtosis

Objective. To explore the value of diffusion kurtosis imaging (DKI) and histogram analysis for assessing preoperative stages and heterogeneity in rectal cancer. Methods. Fifty patients with pathologically confirmed rectal adenocarcinoma were enrolled. The value of DKI parameters and histogram metrics for assessing the preoperative stages and heterogeneity in rectal cancer was analyzed retrospectively. Results. (1) ADC-10th percentile and ADC-25th percentile were significantly higher in T1-2 than in the T3-4 rectal cancer (the ADC values were 0.65 ± 0.08 × 10−3 mm2/s versus 0.58 ± 0.11 × 10−3 mm2/s and 0.73 ± 0.11 × 10−3 mm2/s versus 0.65 ± 0.11 × 10−3 mm2/s; p values were 0.035 and 0.024, resp.). (2) D-10th percentile and D-25th percentile were also significantly higher in T1-2 than in T3-4 rectal cancer (the D values were 0.96 ± 0.19 × 10−3 mm2/s versus 0.84 ± 0.16 × 10−3 mm2/s and 1.15 ± 0.27 × 10−3 mm2/s versus 0.99 ± 0.18 × 10−3 mm2/s; p values were 0.017 and 0.044, resp.). (3) K value and its histogram metrics showed no statistically significant difference between T1-2 and T3-4. (4) D-10th had the largest area under the curve (AUC 0.799) among all the parameters; the sensitivity and specificity were 84.2 and 61.3%, respectively. (5) DKI combined with traditional MRI had an accuracy of 68% while assessing the lymph node of rectal cancer. Conclusion. DKI parameters and histogram metrics are rather valuable in assessing the preoperative stages of rectal cancer; D-10th percentile exhibits the highest diagnostic efficiency.

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