Whole‐tumor histogram analysis of monoexponential and advanced diffusion‐weighted imaging for sinonasal malignant tumors: Correlations with histopathologic features

Xiao, Zhang; Tang, Zuohua; Zhang, Jing; Yang, Guang; Zeng, Wenjiao; Luo, Jianfeng; Song, Yang; Zhang, Zhongshuai

doi:10.1002/jmri.26857

Cited by 19 publications

(10 citation statements)

References 37 publications

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“…The D* value reflects perfusion-sensitive information, such as microvessels density, vascular size, and vascular permeability. 37 In this study, no significant association was found between D* and the histopathological features, which agreed with the findings of Xiao et al 35 Therefore, the D* value might not accurately reflect the histopathological features of RMS.…”

Section: Discussionsupporting

confidence: 87%

“…Multiple linear regression analysis showed that the f value was an independent correlation factor of stroma fraction. In a study by Xiao et al 35 in sinonasal malignant tumors, the f value was significantly correlated with the cellular characteristics of the stroma fraction. This could be due to the specific tumor stroma structure and high proliferation state of cells that promoted the formation of a rich capillary network and active angiogenesis, and therefore, showed a higher f value in IVIM imaging 36 .…”

Section: Discussionmentioning

confidence: 92%

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DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Fang

Yang

Chen

et al. 2021

Magnetic Resonance Imaging

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Background High cellularity and abnormal interstitial structures are some of the unfavorable factors that affect the treatment outcomes and survival of rhabdomyosarcoma (RMS) patients. Purpose To explore the correlation between diffusion‐weighted imaging (DWI) and intravoxel incoherent motion (IVIM) with quantitative histopathologic features in a murine model of RMS. Study Type Prospective. Animal Model Murine model of RMS (31 female BALB/c nude mice). Field Strength/Sequence 3.0 T; fast spin‐echo (FSE) T1‐weighted imaging, fast relaxation fast spin‐echo (FRFSE) T2‐weighted imaging, DWI PROPELLER FSE imaging sequence, and IVIM echo planar imaging sequence; 10 different b‐values (0, 50, 100, 150, 200, 400, 600, 800, 1000, and 1200 s/mm2). Assessment Magnetic resonance imaging (MRI) was performed after 30–45 days of implantation. The following MRI parameters were calculated: apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo‐diffusion coefficient (D*), and perfusion fraction (f). Histopathologic features, which contained nuclear, cytoplasmic, and stromal fractions, and the nuclear‐to‐cytoplasmic ratio within the tumor were measured using image‐based segmentation. Statistical Tests Pearson's correlation, multiple linear regression analysis, and receiver operating characteristic curve analysis were performed. A P < 0.05 was considered statistically significant. Results The ADC value showed moderate negative correlation with nuclear fraction (r = −0.540), and moderate positive correlation with stroma fraction (r = 0.474). The D value showed moderate negative correlation with nuclear fraction (r = −0.491), and moderate positive correlation with stroma fraction (r = 0.421). The f value showed a moderate negative correlation with stroma fraction (r = −0.423). The D value showed the best diagnostic ability. The optimal cut‐off D value of 0.460 was associated with 77.8% sensitivity and 68.2% specificity (area under the curve, 0.747). Data Conclusion The ADC, D, and f values obtained from DWI and IVIM images showed moderate correlation with the quantitative histopathologic features in a murine model of RMS. Level of Evidence 1 Technical Efficacy Stage 3

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 92%

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Fang

Yang

Chen

et al. 2021

Magnetic Resonance Imaging

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“…Some authors have discussed the theoretical basis of skewness and kurtosis and questioned the reliability and usability of those parameters 14,22 . On the other hand, several recently published studies have used these metrics (e.g., for tumor differentiation) and, upon evaluating their repeatability and correlations with clinical findings, have reported promising results 23–25 . Based on these findings, kurtosis may be regarded as a reliable biomarker with certain clinical potential if the analyzed data set is sufficiently large.…”

Section: Discussionmentioning

confidence: 99%

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

Dostál

Keřkovský

Stulík

et al. 2020

Journal of Neuroimaging

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BACKGROUND AND PURPOSE This study's aim was to investigate diffusion properties of the cervical spinal cord in patients with clinically isolated syndrome (CIS) through analysis of diffusion tensor imaging (DTI) data and thereby to assess the capacity of this technique for predicting the progression of CIS to clinically definite multiple sclerosis (CDMS). METHODS The study groups were comprised of 47 patients with CIS (15 of them with progression to CDMS within 2 years of follow‐up) and 57 asymptomatic controls. All patients and controls had undergone magnetic resonance imaging (MRI) of the cervical spine including DTI and brain MRI. Methodological approaches included histogram analysis of the cervical cord's diffusion parameters and evaluation of T2 hyperintense lesions of the spinal cord and brain. All parameters were compared between the study groups. Sensitivity and specificity calculations were then performed with a view to predicting conversion to CDMS. RESULTS The patient subgroups defined by progression to CDMS differed significantly in values of fractional anisotropy (FA) kurtosis measured within white matter (WM) and normal‐appearing WM (NAWM). The same parameters also differed significantly when patients with progression to CDMS were compared to healthy controls. Receiver operating characteristic (ROC) analysis revealed sensitivity and specificity of FA kurtosis of WM and NAWM of 93% and 72%, respectively, in terms of predicting CIS to CDMS progression. CONCLUSION This study presents evidence that histogram analysis of diffusion parameters of the cervical spinal cord in patients with CIS may be helpful in predicting conversion to CDMS.

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“…In this respect, much attention has been devoted to comparing the performance of different derived parameters with the aim of identifying the most promising diffusion model or biomarker for specific clinical purposes. For example, Xiao et al compared the predictive effect of histogram metrics calculated from monoexponential and advanced DWI in sinonasal malignant tumors [ 13 ], and Granate et al evaluated Gaussian and non-Gaussian DWI models for the differentiation of pancreatic lesions [ 14 ]. However, quantitative IVIM parameters may lack expression of the complexity of tissue microstructure, whereas the ultra-high b-value imaging of DKI may also be affected by perfusion.…”

Section: Introductionmentioning

confidence: 99%

Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model

et al. 2022

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Purpose To combine intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) parameters for the evaluation of radiotherapy response in rabbit VX2 malignant bone tumor model. Material and methods Forty-seven rabbits with bone tumor were prospectively enrolled and divided into pre-treatment, considerable effect and slight effect group. Treatment response was evaluated using IVIM-DKI. IVIM-based parameters (tissue diffusion [Dt], pseudo-diffusion [Dp], perfusion fraction [fp]), and DKI-based parameters (mean diffusion coefficient [MD] and mean kurtosis [MK]) were calculated for each animal. Corresponding changes in MRI parameters before and after radiotherapy in each group were studied with one-way ANOVA. Correlations of diffusion parameters of IVIM and DKI model were computed using Pearson’s correlation test. A diagnostic model combining different diffusion parameters was established using binary logistic regression, and its ROC curve was used to evaluate its diagnostic performance for determining considerable and slight effect to malignant bone tumor. Results After radiotherapy, Dt and MD increased, whereas fp and MK decreased (p < 0.05). The differences in Dt, fp, MD, and MK between considerable effect and slight effect groups were statistically significant (p < 0.05). A combination of Dt, fp, and MK had the best diagnostic performance for differentiating considerable effect from slight effect (AUC = 0.913, p < 0.001). Conclusions A combination of IVIM- and DKI-based parameters allowed the non-invasive assessment of cellular, vascular, and microstructural changes in malignant bone tumors after radiotherapy, and holds great potential for monitoring the efficacy of tumor radiotherapy.

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Whole‐tumor histogram analysis of monoexponential and advanced diffusion‐weighted imaging for sinonasal malignant tumors: Correlations with histopathologic features

Cited by 19 publications

References 37 publications

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model

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