Use of monoexponential diffusion-weighted imaging and diffusion kurtosis imaging and dynamic contrast-enhanced-MRI for the differentiation of spinal tumors

Zhang, Jiahui; Chen, Yongye; Zhang, Enlong; Li, Nan; Yuan, Huishu; Lv, Ning

doi:10.1007/s00586-020-06330-w

Cited by 5 publications

(14 citation statements)

References 24 publications

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“…For K vol , we found a statistically significant difference between benign and malignant tumors in the "all tumors" group and in the nonmyxoid and nonchondroid tumor subgroup. Similar to other studies that assessed the use of K value in differentiating benign and malignant tumors, [16][17][18][19] we found higher K vol and K min values in malignant tumors. Unlike ADC vol , D* vol and K vol appear to be potentially useful for differentiating benign and malignant musculoskeletal tumors when performing volumetric measurements.…”

Section: Discussionsupporting

confidence: 90%

“…The number of studies that assess the value of IVIM and DK in the differentiation of benign and malignant musculoskeletal tumors is fewer than those using the monoexponential diffusion model. [8][9][10][11][12][13][14][15][16][17][18][19] In this study, we found a statistically significant difference in D ivim-min between benign and malignant tumors in the "all tumors" group and in the nonmyxoid and nonchondroid tumor subgroup. The best cut-off value was 0.999 Â 10 À3 mm 2 s À1 for D ivim-min in both tumor groups.…”

Section: Discussionmentioning

confidence: 71%

“…20,21 This also results in a variation of cut-off values from one study to another. 8,[10][11][12][13][14][15][16]18,19 Volumetric measurements, whereby all components of the tumors, including cystic, necrotic, and hemorrhagic areas, may be of benefit.…”

mentioning

confidence: 99%

“…4 DK-derived mean diffusivity (D K ) represents the corrected diffusion coefficient according to such non-Gaussian behavior, and the mean kurtosis (K) value quantifies the deviation of molecular diffusion from the Gaussian distribution. 4 Although a variety of functional imaging techniques, including m-DWI, IVIM and DK, have been used [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] in differentiating benign and malignant musculoskeletal tumors, all three techniques have not been studied in the same patient population.…”

mentioning

confidence: 99%

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Different Attenuation Models of Diffusion‐Weighted MR Imaging for the Differentiation of Benign and Malignant Musculoskeletal Tumors

Arslan

Ergen

Aydın

et al. 2021

Magnetic Resonance Imaging

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Background: Several functional imaging techniques, including monoexponential diffusion-weighted imaging (m-DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis (DK) imaging, have been used in differentiating benign and malignant musculoskeletal tumors. Combining all three techniques in the same study population may improve differentiation. Purpose: To compare the diagnostic performance of m-DWI, IVIM, and DK models and their combinations in differentiating benign and malignant musculoskeletal tumors. Study Type: Prospective. Population: Fifty patients with benign and malignant musculoskeletal tumors divided into nonmyxoid and nonchondroid and myxoid and/or chondroid subgroups. Field strength/Sequence: A 1.5 T/m-DWI, IVIM, and DK single-shot spin-echo echo-planar sequences. Assessment: Minimum and volumetric values of apparent diffusion coefficient (ADC), pure molecular diffusion (D ivim ), pseudodiffusion (D*), perfusion fraction (f), diffusion coefficient for kurtosis model (D K ), and Kurtosis (K) were compared between all benign and malignant tumors. Subgroup analysis was also performed for nonmyxoid and nonchondroid and myxoid and/or chondroid tumors. Statistical tests: Independent samples t-test, Mann-Whitney U test, intraclass correlation coefficient, ROC analysis, and logistic regression analysis. A P value < 0.05 was considered statistically significant. Results: ADC min , D ivim-min , D* vol , D K-min, K vol, and K min values showed statistically significant differences between all benign and malignant tumors and nonmyxoid and nonchondroid tumor subgroup. K min showed the highest diagnostic performance in differentiating benign and malignant tumors with AUCs of 0.760 for "all tumors" and 0.825 for the nonmyxoid and nonchondroid tumor subgroup. No significant differences were detected in m-DWI-, IVIM-, and DK-derived parameters for differentiating benign and malignant myxoid and/or chondroid tumors. Only three of 63 combinations of prediction models demonstrated a higher diagnostic performance than K min ; however, improvements were not significantly different. Data conclusion: ADC min , D ivim-min , D* vol , D K-min , K vol , and K min values can be used to differentiate benign and malignant musculoskeletal tumors. Our findings suggest that the added value of multiparametric approach in such differentiation is not significant.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 71%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Different Attenuation Models of Diffusion‐Weighted MR Imaging for the Differentiation of Benign and Malignant Musculoskeletal Tumors

Arslan

Ergen

Aydın

et al. 2021

Magnetic Resonance Imaging

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“…Diffusion-weighted imaging (DWI) is a non-invasive magnetic resonance imaging (MRI) modality that is useful for distinguishing benign and malignant musculoskeletal lesions and for monitoring the response of bone tumors to treatment (3)(4)(5)(6). In 2005, Jensen et al (7) proposed a diffusion kurtosis imaging (DKI) model as an expansion of DWI, which can measure the diffusion characteristics of water molecules under a non-Gaussian displacement distribution and more sensitively reflect changes in tissue microstructure.…”

Section: Introductionmentioning

confidence: 99%

Diffusion kurtosis imaging assessment of the response to radiotherapy in a VX2 bone tumor model: an animal study

Guo

Dong

et al. 2021

Acta Radiol

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Background Neoadjuvant radiotherapy plays a vital role in the treatment of malignant bone tumors, and non-invasive imaging methods are needed to evaluate the response to treatment. Purpose To assess the value of diffusion kurtosis imaging (DKI) for monitoring early response to radiotherapy in malignant bone tumors. Material and Methods Treatment response was evaluated in a rabbit VX2 bone tumor model (n = 35) using magnetic resonance imaging (MRI), DKI, and histopathologic examinations. Subjects were divided into three groups: pre-treatment, post-treatment, and control groups. The post-treatment group was subclassified into good response and poor response groups according to the results of histopathologic examination. Apparent diffusion coefficient (ADC) and DKI parameters (mean diffusion coefficient [MD] and mean kurtosis [MK]) were recorded. The relationship between ADC, DKI parameters, and histopathologic changes after radiotherapy was determined using Pearson’s correlation coefficient. The diagnostic performance of these parameters was assessed using receiver operating characteristic analysis. Results MD in the good response group was higher after treatment than before treatment ( P < 0.001) and higher than that in the poor response group ( P = 0.009). MD was highly correlated with tumor cell density and apoptosis rate (r = −0.771, P < 0.001 and r = 0.625, P < 0.001, respectively). MD was superior to other parameters for determining the curative effect of radiotherapy, with a sensitivity of 75.0%, specificity of 100.0%, and area under the curve of 0.917 ( P < 0.001). Conclusion The correlations between MD, tumor cell density, and apoptosis suggest that MD could be useful for assessing the early response to radiotherapy in rabbit VX2 malignant bone tumors.

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Advances in The Application and Research of Magnetic Resonance Diffusion Kurtosis Imaging in The Musculoskeletal System

Deng

Duan

Fang

et al. 2022

Magnetic Resonance Imaging

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Magnetic resonance diffusion kurtosis imaging (DKI) is an emerging magnetic resonance imaging (MRI) technique that can reflect microstructural changes in tissue through non‐Gaussian diffusion of water molecules. Compared to traditional diffusion weighted imaging (DWI), the DKI model has shown greater sensitivity for diagnosis of musculoskeletal diseases and can help formulate more reasonable treatment plans. Moreover, DKI is an important auxiliary examination for evaluation of the motor function of the musculoskeletal system. This article briefly introduces the basic principles of DKI and reviews the application and research of DKI in the evaluation of disorders of the musculoskeletal system (including bone tumors, soft tissue tumors, spinal lesions, chronic musculoskeletal diseases, musculoskeletal trauma, and developmental disorders) as well as the normal musculoskeletal tissues. Evidence Level 5 Technical Efficacy 1

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Use of monoexponential diffusion-weighted imaging and diffusion kurtosis imaging and dynamic contrast-enhanced-MRI for the differentiation of spinal tumors

Cited by 5 publications

References 24 publications

Different Attenuation Models of Diffusion‐Weighted MR Imaging for the Differentiation of Benign and Malignant Musculoskeletal Tumors

Different Attenuation Models of Diffusion‐Weighted MR Imaging for the Differentiation of Benign and Malignant Musculoskeletal Tumors

Diffusion kurtosis imaging assessment of the response to radiotherapy in a VX2 bone tumor model: an animal study

Advances in The Application and Research of Magnetic Resonance Diffusion Kurtosis Imaging in The Musculoskeletal System

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