Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging

Wáng, Yì Xiáng J.

doi:10.21037/qims-21-187

Cited by 17 publications

(15 citation statements)

References 38 publications

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“…10 However, for IVIM analysis starting from very low nonzero b-value images, the problem discussed above persists (Figure 1), as we have shown that lower liver SI (b = 2) is associated with lower D slow and higher PF and D fast . 1,3 We performed an analysis of five cirrhotic livers from the study of Li et al 6 and observed a very strong negative correlation between the measured D slow and measured PF (Pearson r = −0.94). 3 Our additional analysis (Figure 2) demonstrates that SI (b = 2) of cirrhotic right liver is positively associated with D slow (Pearson r = 0.687), and negatively associated with PF (Pearson r = −0.733).…”

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confidence: 95%

“…1,3 We performed an analysis of five cirrhotic livers from the study of Li et al 6 and observed a very strong negative correlation between the measured D slow and measured PF (Pearson r = −0.94). 3 Our additional analysis (Figure 2) demonstrates that SI (b = 2) of cirrhotic right liver is positively associated with D slow (Pearson r = 0.687), and negatively associated with PF (Pearson r = −0.733). This result is consistent with our observation of liver aging.…”

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confidence: 95%

“…We recently reported that, for the liver and likely for other organs as well, IVIM modeling of the perfusion component is constrained by the diffusion component, with a reduced D slow measurement leading to artificially high PF and D fast measurements. [1][2][3] Thus, the perfusion component and diffusion component measurements cannot be determined separately.…”

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confidence: 99%

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Different tissue types display different signal intensities on b = 0 images and the implications of this for intravoxel incoherent motion analysis: Examples from liver MRI

Xiao

Wáng

2021

NMR in Biomedicine

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Different tissue types display different signal intensities on b = 0 images and the implications of this for intravoxel incoherent motion analysis: Examples from liver MRI

Xiao

Wáng

2021

NMR in Biomedicine

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“…Further research to better separate the diffusion component and the perfusion component should be pursued. Another possible approach would be that, if the reference values of the IVIM diffusion and perfusion components are already known with standardized data acquisition, then we may be able to understand how these constraints can be computationally compensated for by each target tissue (52)(53)(54)(55)(56). Secondly, we must evaluate the treatment response of patients using the RECIST v. 1.1 criteria.…”

Section: Discussionmentioning

confidence: 99%

Intravoxel incoherent motion diffusion-weighted imaging for early assessment of combined anti-angiogenic/chemotherapy for colorectal cancer liver metastases

Wu¹,

Li²,

Yang³

et al. 2022

Quant Imaging Med Surg

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Background: To explore the value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in the early assessment of colorectal cancer liver metastases (CRLM).Methods: A total of 34 patients with pathologically confirmed unresectable CRLM were enrolled. All participants uniformly received capecitabine and oxaliplatin (CAPOX) plus bevacizumab chemotherapy as standard first-line treatment for advanced colorectal cancer (CRC). Participants underwent 1.5-T conventional magnetic resonance imaging (MRI) and IVIM-DWI sequence scans with 9 b values (0 to 1,000 s/mm 2 ) before treatment and at 3 weeks of treatment, and conventional MRI scans were performed at 6 and 12 weeks after the initial treatment. The IVIM-DWI parameters in the tumor target area were extracted using image post-processing software, including perfusion fraction (f), true diffusion coefficient (D), and false diffusion coefficient (D*). The response assessment was based on the Response Evaluation Criteria in Solid Tumors (RECIST) v. 1.1 by measuring the longest tumor diameter on dynamic contrast-enhanced (DCE) T1-weighted images.Results: According to the RECIST v. 1.1 criteria, the 34 participants were divided into a response group (n=16) and a non-response group (n=18). In the response group, the f value was significantly lowered (P=0.001) and the D value was significantly increased after treatment (P=0.002). In the non-response group, the D value was increased slightly after treatment (P=0.039), and there was no significant difference in the f value and the D* value. In addition, the f value at baseline was significantly greater in the response group than in the non-response group (0.221±0.033 vs. 0.175±0.040; P=0.001). The receiver operating characteristic (ROC) curve analysis showed that the percentage change of the f value obtained the largest area under the curve (AUC =0.797), and the AUC obtained by the Fisher's linear discriminant analysis (FLDA) method (Δf & ΔD combination) was 0.819. Conclusions:The IVIM-DWI parameters (f values and D values) provided effective assessment of the

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“…In this study, there was no significant difference in D* between the PD-L1-negative and PD-L1-positive NSCLC groups, which is generally consistent with the above findings, indicating that the value of D* still needs to be further explored. In addition, some recent studies have suggested that the existing IVIM technique still has limitations in separating perfusion and diffusion component and that this limitation cannot be addressed by high signal-to-noise images, or by an extensive array of b-value images, which may also contribute to the above results (36)(37)(38).…”

Section: Discussionmentioning

confidence: 99%

Sensitivity and specificity of amide proton transfer-weighted imaging for assessing programmed death-ligand 1 status in non-small cell lung cancer: a comparative study with intravoxel incoherent motion and 18F-FDG PET

Meng¹,

Fu²,

Sun³

et al. 2022

Quant Imaging Med Surg

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Background: Noninvasive assessment of programmed death-ligand 1 (PD-L1) expression status in nonsmall cell lung cancer (NSCLC) is necessary. This study arm to investigate the value of 2-[ 18 F]-fluoro-2deoxy-D-glucose positron emission tomography ( 18 F-FDG PET), diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and amide proton transfer-weighted imaging (APTWI) in the assessment of PD-L1 status in NSCLC.Methods: This is a prospective diagnostic study. A total of 76 patients with NSCLC underwent chest 18 F-FDG PET/magnetic resonance imaging (MRI). Parameters maximum standardized uptake value (SUV max ), quantitate the metabolic tumor volume (MTV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo diffusion coefficient (D*), and perfusion fraction (f), and magnetization transfer ratio asymmetry at 3.5 ppm [MTRasym (3.5 ppm)] from 18 F-FDG PET, DWI, IVIM, and APTWI, respectively, were compared. The optimal combination of parameters was investigated using logistic regression models and evaluated by area under the receiver operating characteristic (ROC) curve (AUC). The bootstrap with 1,000 samples was used for model validation.Results: SUV max , MTV, TLG, and MTRasym (3.5 ppm) were higher and D and f were lower in PD-L1 positive NSCLC than in PD-L1 negative NSCLC (all P<0.05). Logistic analysis showed that the combination of MTRasym (3.5 ppm), D, and SUV max had the strongest predictive value for the differentiation of PD-L1 positive and PD-L1 negative NSCLC [AUC, 0.946; 95% confidence interval (CI): 0.869-0.985; sensitivity, 85.29%; specificity, 91.67%; P all <0.001]. The verification model showed the combination of MTRasym (3.5 ppm), D, and SUV max had the strongest predictive value, and its ROC curve and calibration curve showed good accuracy (AUC, 0.919, 95% CI: 0.891-0.937) and consistency.Conclusions: Multi-parametric 18 F-FDG PET/MRI is beneficial for the non-invasive assessment of PD-L1 status in NSCLC patients, and the combination of SUV max , D, and MTRasym (3.5 ppm) may serve as aThe study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This prospective study was complied with ethical committee standards and approved by the ethics committee of prognostic biomarker to guide immunotherapy.

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Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging

Cited by 17 publications

References 38 publications

Different tissue types display different signal intensities on b = 0 images and the implications of this for intravoxel incoherent motion analysis: Examples from liver MRI

Different tissue types display different signal intensities on b = 0 images and the implications of this for intravoxel incoherent motion analysis: Examples from liver MRI

Intravoxel incoherent motion diffusion-weighted imaging for early assessment of combined anti-angiogenic/chemotherapy for colorectal cancer liver metastases

Sensitivity and specificity of amide proton transfer-weighted imaging for assessing programmed death-ligand 1 status in non-small cell lung cancer: a comparative study with intravoxel incoherent motion and 18F-FDG PET

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