Assessment of chemotherapy response in non-Hodgkin lymphoma involving the neck utilizing diffusion kurtosis imaging: a preliminary study

Wu, Rui; Suo, Shi; Wu, Lian Ming; Yao, Qiu Ying; Gong, Hong Xia; Xu, Jian

doi:10.5152/dir.2017.16184

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…Lymphoma is unusual because its histopathological features, including hypercellularity, more oversized and irregular nuclei, less extracellular space, and cellular compartments composed of lymphoma cells and fine fibrosis, are reflected by markedly low MD and markedly high MK 7,24 . Our study also indicated that lymphoma showed markedly low MD and markedly high MK, even exceeding values in Warthin's tumor, and is in accordance with previous studies 24,33 . Thus, we classify lymphoma and Warthin's tumors as a separate subgroups.…”

Section: Discussionsupporting

confidence: 90%

“…7,24 Our study also indicated that lymphoma showed markedly low MD and markedly high MK, even exceeding values in Warthin's tumor, and is in accordance with previous studies. 24,33 Thus, we classify lymphoma and Warthin's tumors as a separate subgroups. In agreement with the present results, a previous study has demonstrated a significant difference in MK between Warthin's tumor and malignant tumor, while the difference in MD did not reach statistical significance.…”

Section: Discussionmentioning

confidence: 99%

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Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

Cheng

Shao

Chen

et al. 2021

Magnetic Resonance Imaging

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Background: Preoperative differentiation of head and neck lesions is important for treatment plan selection. Purpose: To evaluate the diagnostic value of diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating benign from malignant head and neck lesions and subgroups, including lymphoma subgroup (LS), Warthin's tumor subgroup (WS), malignant tumor subgroup (excluding lymphoma) (MTS), and benign tumor subgroup (excluding Warthin's tumor) (BTS). Study Type: Retrospective. Population: Seventy-four patients with 79 head and neck lesions (44 benign, 35 malignant), divided into four subgroups: LS ( 14), WS (12), MTS (21), and BTS (32). Field Strength/Sequences: A 3.0 T, single-shot echo-planar sequence with 5 b-values for DKI and enhanced T1 highresolution isotropic volume excitation (eTHRIVE) sequence for DCE-MRI. Assessment: The mean diffusivity (MD) and mean kurtosis (MK) derived from DKI and the time-signal intensity curve (TIC), peak time (T peak ), and washout ratio (WR) based on DCE-MRI were measured. The diagnostic efficiencies of DKI and DCE-MRI, alone and in combination, were calculated and compared. The parameters mentioned above were compared between the four subgroups. Statistical Test: Mann-Whitney U test, chi-square test, receiver operating characteristic curve, Delong test, one-way analysis of variance test, and Kruskal-Wallis H test. A P value < 0.05 was considered statistically significant. Results: The combination of TIC and parameters of DKI and DCE-MRI for differentiating benign and malignant lesions with 94.94% accuracy is superior to DKI or DCE-MRI alone with approximately 75% accuracy. MD, MK, T peak , and WR showed significant differences among the four subgroups. The accuracy of MD and MK was 91.14% and 92.41% for differentiating BTS from the other three subgroups. WR achieved 100% accuracy for discriminating WS from LS or MTS. MD and MK both differentiated LS from MTS with 97.14% accuracy. Data Conclusion: A combination of DKI and DCE-MRI can effectively differentiate head and neck lesions with good accuracy.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

Cheng

Shao

Chen

et al. 2021

Magnetic Resonance Imaging

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“…A previous study investigated the application of DKI in predicting chemotherapy response of non-Hodgkin's lymphoma in the neck and found that there was a significant decrease of K app and increase of D app after 7 days chemotherapy onset compared to their corresponding pretreatment levels. 27 As it was different in study design, mainly due to the differences of the target tumor population and the difference in timepoint, the two different groups received a postchemotherapy MRI. Further investigation still needs to resolve this conflict by making comparisons between different malignancies using a unique MRI schedule.…”

Section: Discussionmentioning

confidence: 99%

Integrating dynamic contrast‐enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma

Zheng

Lai

Chen

et al. 2018

Magnetic Resonance Imaging

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“…Qi et al (28) also reported that the MK value increases as the grade of glioma and cell density increase. Wu et al (29) stated that the ADC value increases, while the MK value decreases, as a result of chemotherapy in cervical non-Hodgkin lymphoma. Wang et al (30) reported that the ADC value is low, while the MK value is high, in bladder tumors compared with bladder inflammation.…”

Section: Discussionmentioning

confidence: 99%

Development of a novel method for visualizing restricted diffusion using subtraction of apparent diffusion coefficient values

et al. 2019

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in order to visualize restricted diffusion, the present study developed a novel method called 'apparent diffusion coefficient (ADC) subtraction method (ASM)' and compared it with diffusion kurtosis imaging (DKI). The diffusion-weighted images of physiological saline, in addtion to bio-phatoms of low cell density and the highest cell density were obtained using two sequences with different effective diffusion times. Then, the calculated ADC values were subtracted. The mean values and standard deviations (SD) of the ADC values of physiological saline, low cell density and the highest cell density phantoms were 2.95±0.08x10-3 , 1.90±0.35x10-3 and 0.79±0.05x10-3 mm 2 /sec, respectively. The mean kurtosis values and SD of DKI were 0.04±0.01, 0.44±0.13 and 1.27±0.03, respectively. The ASM and SD values were 0.25±0.20x10 4 , 0.51±0.41x10 4 and 4.80±4.51x10 4 (sec/mm 2) 2 , respectively. Using bio-phantoms, the present study demonstrated that DKI exhibits restricted diffusion in the extracellular space. Similarly, ASM may reflect the extent of restricted diffusion in the extracellular space.

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Assessment of chemotherapy response in non-Hodgkin lymphoma involving the neck utilizing diffusion kurtosis imaging: a preliminary study

Cited by 8 publications

References 32 publications

Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

Integrating dynamic contrast‐enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma

Development of a novel method for visualizing restricted diffusion using subtraction of apparent diffusion coefficient values

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