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Published in: Oral Radiology 4/2023

27-03-2023 | Original Article

Non-Gaussian model-based diffusion-weighted imaging of oral squamous cell carcinoma: associations with Ki-67 proliferation status

Authors: Tomoka Shima, Noriyuki Fujima, Shigeru Yamano, Hiroyuki Kameda, Masaaki Suzuka, Akiko Takeuchi, Yurika Kinoshita, Nanami Iwai, Kohsuke Kudo, Kazuyuki Minowa

Published in: Oral Radiology | Issue 4/2023

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Abstract

Objectives

To investigate possible associations between diffusion-weighted imaging (DWI) parameters derived from a non-Gaussian model fitting and Ki-67 status in patients with oral squamous cell carcinoma (OSCC).

Methods

Twenty-four patients with newly diagnosed OSCC were prospectively recruited. DWI was performed using six b-values (0–2500). The diffusion-related parameters of kurtosis value (K), kurtosis-corrected diffusion coefficient (DK), diffusion heterogeneity (α), distributed diffusion coefficient (DDC), slow diffusion coefficient (Dslow), and apparent diffusion coefficient (ADC) were calculated from four diffusion fitting models. Ki-67 status was categorized as low (Ki-67 percentage score < 20%), middle (20–50%), or high (> 50%). Kruskal–Wallis tests were performed between each non-Gaussian diffusion model parameters and Ki-67 grade.

Results

The Kruskal–Wallis tests revealed that multiple parameters (K, ADC, Dk, DDC and Dslow) showed statistically significant differences between the three levels of Ki-67 status (K: p = 0.020, ADC: p = 0.012, Dk: p = 0.027, DDC: p = 0.007 and Dslow: p = 0.026).

Conclusions

Several non-Gaussian diffusion model parameters and ADC values were significantly associated with Ki-67 status and have potential as promising prognostic biomarkers in patients with OSCC.
Literature
1.
go back to reference Ogura I, et al. Diffusion-weighted imaging in the oral and maxillofacial region: usefulness of apparent diffusion coefficient maps and maximum intensity projection for characterization of normal structures and lesions. Pol J Radiol. 2017;82:571–7.CrossRefPubMedPubMedCentral Ogura I, et al. Diffusion-weighted imaging in the oral and maxillofacial region: usefulness of apparent diffusion coefficient maps and maximum intensity projection for characterization of normal structures and lesions. Pol J Radiol. 2017;82:571–7.CrossRefPubMedPubMedCentral
2.
go back to reference Varoquaux A, et al. Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV. Eur J Nucl Med Mol Imaging. 2013;40(6):842–52.CrossRefPubMedPubMedCentral Varoquaux A, et al. Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV. Eur J Nucl Med Mol Imaging. 2013;40(6):842–52.CrossRefPubMedPubMedCentral
3.
go back to reference Driessen JP, et al. Diffusion-weighted MR imaging in laryngeal and hypopharyngeal carcinoma: association between apparent diffusion coefficient and histologic findings. Radiology. 2014;272(2):456–63.CrossRefPubMed Driessen JP, et al. Diffusion-weighted MR imaging in laryngeal and hypopharyngeal carcinoma: association between apparent diffusion coefficient and histologic findings. Radiology. 2014;272(2):456–63.CrossRefPubMed
4.
go back to reference Swartz JE, et al. Influence of tumor and microenvironment characteristics on diffusion-weighted imaging in oropharyngeal carcinoma: a pilot study. Oral Oncol. 2018;77:9–15.CrossRefPubMed Swartz JE, et al. Influence of tumor and microenvironment characteristics on diffusion-weighted imaging in oropharyngeal carcinoma: a pilot study. Oral Oncol. 2018;77:9–15.CrossRefPubMed
5.
go back to reference Chen X, et al. Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas. Am J Transl Res. 2018;10(8):2659–68.PubMedPubMedCentral Chen X, et al. Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas. Am J Transl Res. 2018;10(8):2659–68.PubMedPubMedCentral
6.
go back to reference Lai V, et al. Intravoxel water diffusion heterogeneity MR imaging of nasopharyngeal carcinoma using stretched exponential diffusion model. Eur Radiol. 2015;25(6):1708–13.CrossRefPubMed Lai V, et al. Intravoxel water diffusion heterogeneity MR imaging of nasopharyngeal carcinoma using stretched exponential diffusion model. Eur Radiol. 2015;25(6):1708–13.CrossRefPubMed
7.
go back to reference Shima T, et al. Evaluation of non-Gaussian model-based diffusion-weighted imaging in oral squamous cell carcinoma: comparison with tumour functional information derived from positron-emission tomography. Clin Radiol. 2020;75(5):397 e15-397 e21.CrossRefPubMed Shima T, et al. Evaluation of non-Gaussian model-based diffusion-weighted imaging in oral squamous cell carcinoma: comparison with tumour functional information derived from positron-emission tomography. Clin Radiol. 2020;75(5):397 e15-397 e21.CrossRefPubMed
8.
go back to reference Martincich L, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol. 2012;22(7):1519–28.CrossRefPubMed Martincich L, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol. 2012;22(7):1519–28.CrossRefPubMed
9.
go back to reference Xiao Z, et al. Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status. Eur Radiol. 2018;28(7):2923–33.CrossRefPubMed Xiao Z, et al. Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status. Eur Radiol. 2018;28(7):2923–33.CrossRefPubMed
10.
12.
go back to reference Fujima N, et al. Advanced diffusion models in head and neck squamous cell carcinoma patients: goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion. Magn Reson Imaging. 2017;36:16–23.CrossRefPubMed Fujima N, et al. Advanced diffusion models in head and neck squamous cell carcinoma patients: goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion. Magn Reson Imaging. 2017;36:16–23.CrossRefPubMed
13.
go back to reference Fujima N, et al. Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI. Magn Reson Imaging. 2014;32(10):1206–13.CrossRefPubMed Fujima N, et al. Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI. Magn Reson Imaging. 2014;32(10):1206–13.CrossRefPubMed
14.
go back to reference Kim J, et al. Clinical utility of mono-exponential model diffusion weighted imaging using two b-values compared to the bi- or stretched exponential model for the diagnosis of biliary atresia in infant liver MRI. PLoS ONE. 2019;14(12): e0226627.CrossRefPubMedPubMedCentral Kim J, et al. Clinical utility of mono-exponential model diffusion weighted imaging using two b-values compared to the bi- or stretched exponential model for the diagnosis of biliary atresia in infant liver MRI. PLoS ONE. 2019;14(12): e0226627.CrossRefPubMedPubMedCentral
15.
go back to reference Surov A, et al. Histogram analysis parameters of apparent diffusion coefficient reflect tumor cellularity and proliferation activity in head and neck squamous cell carcinoma. Oncotarget. 2018;9(34):23599–607.CrossRefPubMedPubMedCentral Surov A, et al. Histogram analysis parameters of apparent diffusion coefficient reflect tumor cellularity and proliferation activity in head and neck squamous cell carcinoma. Oncotarget. 2018;9(34):23599–607.CrossRefPubMedPubMedCentral
16.
go back to reference Rosenkrantz AB, et al. Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging. 2015;42(5):1190–202.CrossRefPubMed Rosenkrantz AB, et al. Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging. 2015;42(5):1190–202.CrossRefPubMed
17.
go back to reference Zhang J, et al. Grading and proliferation assessment of diffuse astrocytic tumors with monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging and diffusion kurtosis imaging. Eur J Radiol. 2018;109:188–95.CrossRefPubMed Zhang J, et al. Grading and proliferation assessment of diffuse astrocytic tumors with monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging and diffusion kurtosis imaging. Eur J Radiol. 2018;109:188–95.CrossRefPubMed
Metadata
Title
Non-Gaussian model-based diffusion-weighted imaging of oral squamous cell carcinoma: associations with Ki-67 proliferation status
Authors
Tomoka Shima
Noriyuki Fujima
Shigeru Yamano
Hiroyuki Kameda
Masaaki Suzuka
Akiko Takeuchi
Yurika Kinoshita
Nanami Iwai
Kohsuke Kudo
Kazuyuki Minowa
Publication date
27-03-2023
Publisher
Springer Nature Singapore
Published in
Oral Radiology / Issue 4/2023
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-023-00682-x

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