Intravoxel Incoherent Motion and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging to Early Detect Tissue Injury and Microcirculation Alteration in Hepatic Injury Induced by Intestinal Ischemia–Reperfusion in a Rat Model

Yang, Jiaxing; Meng, Mingzhu; Pan, Changjie; Qian, Liulan; Sun, Yangyang; Shi, Haifeng; Shen, Yong; Dou, Weiqiang

doi:10.1002/jmri.27604

Cited by 5 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When evaluating hepatic injury induced by intestinal ischemia–reperfusion, Yang et al found that f gradually decreased with the progress of reperfusion, while K trans gradually increased, indicating that the presence of microcirculatory disorder and increased vascular permeability caused by inflammatory cytokines in the liver. Our study found that f was negatively correlated with K trans , which perhaps because of increased capillary permeability in the area of BME and microcirculatory disorder due to cell edema and inflammatory cell aggregation ( 43 ). Some studies have shown that there are differences in aspects of immunology, genetics, and hormone between men and women, such as higher circulating IL-17A and tumor necrosis factor-alpha (TNF-α) levels in men than in women with AS, which may affect the inflammatory pathways leading to bone damage and ultimately influence the progression of the radiographic changes ( 44 , 45 ).…”

Section: Discussionmentioning

confidence: 74%

Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Guo

Zheng

et al. 2022

Front. Med.

View full text Add to dashboard Cite

BackgroundTo prospectively explore the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) parameters of sacroiliitis in patients with axial spondyloarthritis (axSpA).MethodsPatients with initially diagnosed axSpA prospectively underwent on 3.0 T MRI of sacroiliac joint (SIJ). The IVIM parameters (D, f, D*) were calculated using biexponential analysis. Ktrans, Kep, Ve, and Vp from DCE-MRI were obtained in SIJ. The uni-variable and multi-variable linear regression analyses were used to evaluate the correlation between the parameters from these two imaging methods after controlling confounders, such as bone marrow edema (BME), age, agenda, scopes, and localization of lesions, and course of the disease. Then, their correlations were measured by calculating the Pearson's correlation coefficient (r).ResultsThe study eventually enrolled 234 patients (178 men, 56 women; mean age, 28.51 ± 9.50 years) with axSpA. With controlling confounders, D was independently related to Ktrans (regression coefficient [b] = 27.593, p < 0.001), Kep (b = −6.707, p = 0.021), and Ve (b = 131.074, p = 0.003), whereas f and D* had no independent correlation with the parameters from DCE MRI. The correlations above were exhibited with Pearson's correlation coefficients (r) (r = 0.662, −0.408, and 0.396, respectively, all p < 0.001).ConclusionThere were independent correlations between D derived from IVIM DWI and Ktrans, Kep, and Ve derived from DCE-MRI. The factors which affect their correlations mainly included BME, gender, and scopes of lesions.

show abstract

Section: Discussionmentioning

confidence: 74%

Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Guo

Zheng

et al. 2022

Front. Med.

View full text Add to dashboard Cite

show abstract

“…For the Siemens MR scanner, ADC maps were generated automatically after DWI scans were completed, using b values of 50 and 800 sec/mm 2 . For the GE scanners, DWI images were imported into GE Advanced Workstation (AW 4.6) 23 to obtain ADC maps, with b values of 0 and 1000 or 800 sec/mm 2 . DCE sequences were acquired before and four or five times after contrast agent (Magnevist, Bayer HealthCare Pharmaceuticals Inc., Wayne, USA) injection at a dose of 0.1 mmol/kg of body weight with an injection rate of 1.5–2.0 mL/sec followed by a 20 mL saline flush.…”

Section: Methodsmentioning

confidence: 99%

Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2− Breast Cancer Quantified With 21‐Gene Recurrence Score

Chen

Tang

Liu

et al. 2022

Magnetic Resonance Imaging

View full text Add to dashboard Cite

BackgroundWhile the Oncotype DX 21‐gene recurrence score (RS) has been recommended for guiding ER+/HER2− breast cancer treatment decisions, it is limited by cost and availability.PurposeTo develop a multiparametric MRI‐based radiomics model for assessing ER+/HER2− breast cancer patients' 21‐gene RS.Study TypeRetrospective.SubjectsA total of 151 patients with pathologically confirmed ER+/HER2− breast cancers, who underwent preoperative breast MR examinations and 21‐gene expression assays, divided into training (n = 106) and validation (n = 45) cohorts.Field Strength/SequenceT2‐weighted imaging (T2WI), diffusion‐weighted imaging (DWI), and dynamic contrast‐enhancement (DCE) sequence at 1.5 T or 3 T.AssessmentA total of 1046 radiomics features were extracted from each MRI sequence with a manual lesion segmentation method. After feature dimension reduction by the recursive feature elimination method and dataset balance by the synthetic minority oversampling technique, linear support vector machine classifier models were built to distinguish high RS (RS ≥ 26) from low RS (RS < 26) from T2WI, DWI apparent diffusion coefficient (ADC) maps, DCE and their combination (multiparametric). A model based on clinical characteristics and a fusion model combining clinical characteristics and multiparametric MRI were also built.Statistical TestsReceiver operating characteristic (ROC) curve analysis and De Long's test with Bonferroni correction were used. A P value <0.01 was considered statistically significant.ResultsThe area under the ROC curve (AUC) value of multiparametric radiomics model was 0.92, significantly higher than DCE (0.83), T2WI (0.78), and ADC (0.77) models in the training cohort. The radiomics model also achieved good performance in the validation cohort (AUC = 0.77). The fusion model had significantly higher performance than the clinical model in both the training (AUC = 0.92 and 0.64, respectively) and validation cohorts (AUC = 0.78 and 0.62, respectively).Data ConclusionThe proposed multiparametric MRI‐based radiomics models may have potential to help distinguish ER+/HER2− breast cancer patients' recurrence risk.Evidence Level3.Technical EfficacyStage 2.

show abstract

“…Sheng et al demonstrated that DWI can detect and distinguish microstructural tissue changes during ALPPS and PVL procedures (Sheng et al, 2018 ). DWI has been applied to assess hepatic ischemia and reperfusion injury (Lu et al, 2017 ; Yang et al, 2021 ) and to predict survival after partial hepatectomy (Muhi et al, 2013 ).…”

Section: Clinical and Experimental Partmentioning

confidence: 99%

Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function

et al. 2021

View full text Add to dashboard Cite

Liver resection causes marked perfusion alterations in the liver remnant both on the organ scale (vascular anatomy) and on the microscale (sinusoidal blood flow on tissue level). These changes in perfusion affect hepatic functions via direct alterations in blood supply and drainage, followed by indirect changes of biomechanical tissue properties and cellular function. Changes in blood flow impose compression, tension and shear forces on the liver tissue. These forces are perceived by mechanosensors on parenchymal and non-parenchymal cells of the liver and regulate cell-cell and cell-matrix interactions as well as cellular signaling and metabolism. These interactions are key players in tissue growth and remodeling, a prerequisite to restore tissue function after PHx. Their dysregulation is associated with metabolic impairment of the liver eventually leading to liver failure, a serious post-hepatectomy complication with high morbidity and mortality. Though certain links are known, the overall functional change after liver surgery is not understood due to complex feedback loops, non-linearities, spatial heterogeneities and different time-scales of events. Computational modeling is a unique approach to gain a better understanding of complex biomedical systems. This approach allows (i) integration of heterogeneous data and knowledge on multiple scales into a consistent view of how perfusion is related to hepatic function; (ii) testing and generating hypotheses based on predictive models, which must be validated experimentally and clinically. In the long term, computational modeling will (iii) support surgical planning by predicting surgery-induced perfusion perturbations and their functional (metabolic) consequences; and thereby (iv) allow minimizing surgical risks for the individual patient. Here, we review the alterations of hepatic perfusion, biomechanical properties and function associated with hepatectomy. Specifically, we provide an overview over the clinical problem, preoperative diagnostics, functional imaging approaches, experimental approaches in animal models, mechanoperception in the liver and impact on cellular metabolism, omics approaches with a focus on transcriptomics, data integration and uncertainty analysis, and computational modeling on multiple scales. Finally, we provide a perspective on how multi-scale computational models, which couple perfusion changes to hepatic function, could become part of clinical workflows to predict and optimize patient outcome after complex liver surgery.

show abstract

Intravoxel Incoherent Motion and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging to Early Detect Tissue Injury and Microcirculation Alteration in Hepatic Injury Induced by Intestinal Ischemia–Reperfusion in a Rat Model

Cited by 5 publications

References 30 publications

Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2− Breast Cancer Quantified With 21‐Gene Recurrence Score

Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function

Contact Info

Product

Resources

About