scholarly journals Comparison of Diagnostic Performance between Perfusion-Related Intravoxel Incoherent Motion DWI and Dynamic Contrast-Enhanced MRI in Rectal Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ming Li ◽  
Xiaodan Xu ◽  
Kaijian Xia ◽  
Heng Jiang ◽  
Jianlong Jiang ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Diagnostic Performance ◽  
Area Under The Curve ◽  
Intravoxel Incoherent Motion ◽  
Diagnostic Efficiency ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Pathological Differentiation ◽  
The Difference

This study was aimed to determine the diagnostic performance of perfusion-related parameters derived from intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) by comparing them with quantitative parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on differentiation grades of rectal cancer. We retrospectively analyzed 98 patients with rectal cancer. Perfusion-related IVIM parameters ( D ∗ , f , and f · D ∗ ) and quantitative DCE parameters ( K trans , K ep , V e , and V p ) were obtained by plotting the volume-of-interest on in-house software. Furthermore, we compared the difference and diagnostic performance of all well-moderately and poorly differentiated rectal cancer parameters. Finally, we analyzed the correlation between those DCE and IVIM parameters and pathological differentiation grade. The values of f , K trans , and K ep significantly differentiated poor and well-moderate rectal cancers. K trans achieved the highest area under the curve (AUC) value compared to perfusion-related IVIM and DCE parameters. Furthermore, K trans showed a better correlation with pathological differentiation grade than f . The diagnostic efficiency of DCE-MRI was greater than perfusion-related IVIM parameters. The f value derived from perfusion-related IVIM offered a diagnostic performance similar to DCE-MRI for patients with renal insufficiency.

Perfusion-sensitive parameters of intravoxel incoherent motion MRI in rectal cancer: evaluation of reproducibility and correlation with dynamic contrast-enhanced MRI

2018 ◽  
Vol 60 (5) ◽  
pp. 569-577 ◽  
Author(s):  
Xinyue Yang ◽  
Xiaojuan Xiao ◽  
Baolan Lu ◽  
Yan Chen ◽  
Ziqiang Wen ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Cancer Patients ◽  
Intravoxel Incoherent Motion ◽  
Tumor Perfusion ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Sensitive Parameters ◽  
Contrast Enhanced Mri

Background Intravoxel incoherent motion magnetic resonance imaging (IVIM-MRI) acquires tumor perfusion information without injection of contrast medium, which is promising in tumor assessment. However, its consistency with dynamic contrast-enhanced MRI (DCE-MRI), a more widely used method for tumor perfusion evaluation, is not revealed in rectal cancer. Purpose In this study, we aimed to investigate the correlation of perfusion-sensitive parameters derived from IVIM-MRI with DCE-MRI and measurement reproducibility of IVIM-MRI parameters in rectal cancer. Material and Methods Forty-seven rectal cancer patients underwent IVIM-MRI with 16 b-values and DCE-MRI. The perfusion fraction ( f), pseudo-diffusion coefficient ( D*), and f· D* were measured by two radiologists independently and correlated with the transfer constant ( Ktrans), reflux constant ( kep), and extravascular extracellular fractional volume ( ve) obtained from DCE-MRI. Results Pearson’s correlation analyses of IVIM-MRI and DCE-MRI parameters showed fair to moderate correlation between f and Ktrans ( r = 0.461, P = 0.001), followed by f and kep ( r = 0.430, P = 0.003), f·D*, and Ktrans ( r = 0.425, P = 0.003), f·D*, and kep ( r = 0.384, P = 0.008). There was no significant correlation between ve and f, ve and D*, ve and f· D*, D* and Ktrans, and D* and kep. The reproducibility of IVIM-MRI measurements was moderate. For parameter f, intraclass correlation coefficient (ICC) = 0.71 (0.53–0.82), coefficient of variation (CV) = 13.05 ± 0.02%, limit of agreement (LoA) = −0.05–0.04; for parameter D*, ICC = 0.55 (0.32–0.72), CV = 20.28 ± 3.23%, LoA = −9.6–8.4. Conclusion Perfusion-sensitive parameters derived from IVIM-MRI correlated fairly to moderately with DCE-MRI in rectal cancer patients and showed moderate measurement reproducibility. IVIM-MRI supplements routine high-resolution MRI without contrast enhancement to provide information of tumor microcirculation.

Diagnostic performance of diffusion-weighted imaging combined with dynamic contrast-enhanced magnetic resonance imaging for prostate cancer: a systematic review and meta-analysis

2020 ◽  
pp. 028418512095626
Author(s):  
Lu Yang ◽  
Yuchuan Tan ◽  
Hanli Dan ◽  
Lin Hu ◽  
Jiuquan Zhang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Likelihood Ratio ◽  
Diffusion Weighted Imaging ◽  
Diagnostic Performance ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Background The diagnostic performance of diffusion-weighted imaging (DWI) combined with dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) for the detection of prostate cancer (PCa) has not been studied systematically to date. Purpose To investigate the value of DWI combined with DCE-MRI quantitative analysis in the diagnosis of PCa. Material and Methods A systematic search was conducted through PubMed, MEDLINE, the Cochrane Library, and EMBASE databases without any restriction to language up to 10 December 2019. Studies that used a combination of DWI and DCE-MRI for diagnosing PCa were included. Results Nine studies with 778 participants were included. The combination of DWI and DCE-MRI provide accurate performance in diagnosing PCa with pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratios of 0.79 (95% confidence interval [CI] = 0.76–0.81), 0.85 (95% CI = 0.83–0.86), 6.58 (95% CI = 3.93–11.00), 0.24 (95% CI = 0.17–0.34), and 36.43 (95% CI = 14.41–92.12), respectively. The pooled area under the summary receiver operating characteristic curve was 0.9268. Moreover, 1.5-T MR scanners demonstrated a slightly better performance than 3.0-T scanners. Conclusion Combined DCE-MRI and DWI could demonstrate a highly accurate area under the curve, sensitivity, and specificity for detecting PCa. More studies with large sample sizes are warranted to confirm these results.

scholarly journals Correlation of dynamic contrast-enhanced bone perfusion with morphologic ultra-short echo time MR imaging in medication-related osteonecrosis of the jaw

2021 ◽  
pp. 20210036
Author(s):  
Paul Schumann ◽  
Sarah Morgenroth ◽  
Florian A Huber ◽  
Niels J Rupp ◽  
Filippo Del Grande ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Osteonecrosis Of The Jaw ◽  
Reference Standard ◽  
Characteristic Analysis ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Echo Time ◽  
Short Echo Time ◽  
Mri Measurements

Objectives: To investigate whether dynamic contrast-enhanced (DCE)-MR bone perfusion could serve as surrogate for morphologic ultra-short echo time (UTE) bone images and to correlate perfusion with morphologic hallmarks in histologically proven foci of medication-related osteonecrosis of the jaw (MRONJ). Methods: Retrospective study including 20 patients with established diagnosis of MRONJ. Qualitative consensus assessment of predefined jaw regions by two radiologists was used as reference standard using Likert scale (0–3) for standard imaging hallmarks in MRONJ (osteolysis, sclerosis, periosteal thickening). DCE-MRI measurements performed in corresponding regions of the mandible were then correlated with qualitative scores. Regions were grouped into “non-affected” and “pathologic” based on binarized Likert scores of different imaging hallmarks (0–1 vs 2–3). DCE-MRI measurements among hallmarks were compared using Mann–Whitney-U-testing. ROC (receiver-operating-characteristic) analysis was performed for each of the perfusion parameters to assess diagnostic performance for identification of MRONJ using morphologic ratings as reference standard. Results: Median perfusion measurements of “pathologic” regions in wash-in, peak enhancement intensity and integrated area under the curve are significantly higher than those of “non-affected” regions, irrespective of reference imaging hallmark (p < 0.05). No significant perfusion differences were found between “pathologic” regions with and without osteolysis (p = 0.180). ROC analysis showed fair diagnostic performance of DCE-MRI parameters for identification of MRONJ (AUC 0.626–0.727). Conclusions: DCE bone perfusion parameters are significantly increased in MRONJ compared to non-affected regions, irrespective of osteolysis. Due to certain overlap DCE-MRI bone perfusion cannot serve as full surrogate for UTE bone imaging but may enhance reader confidence.

Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram

2020 ◽  
Vol 61 (9) ◽  
pp. 1221-1227
Author(s):  
Han-wen Zhang ◽  
Gui-wen Lyu ◽  
Wen-jie He ◽  
Yi Lei ◽  
Fan Lin ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Histogram Analysis ◽  
High Grade ◽  
Diagnostic Efficiency ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference

Background In clinical diagnosis, some central nervous system lymphomas (CNSL) are difficult to distinguish from high-grade gliomas (HGG). Purpose To evaluate the diagnostic efficacy of the histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in the identification of CNSL and HGG. Material and Methods In all, 43 patients diagnosed with HGG (n = 28) and CNSL (n = 15) by histopathology underwent DCE-MRI scanning. Differences in histogram parameters based on DCE-MRI between HGG and CNSL were analyzed by Mann–Whitney U test. In addition, receiver operating characteristic (ROC) analysis was performed. Short-term follow-up of patients was performed using Kaplan–Meier analysis to explore the survival rates of HGG and CNSL. Results For the ROC curve analysis, we demonstrate that the 10th percentile of Ktrans (area under the curve [AUC] = 0.912, sensitivity = 86.7%, specificity = 92.9%), Kep (AUC = 0.940, sensitivity = 93.3%, specificity = 79.6%), Ve (AUC = 0.907, sensitivity = 86.7%, specificity = 89.3%), and AUC (AUC = 0.904, sensitivity = 86.7%, specificity = 92.9%) were significantly different between the CNSL and HGG groups ( P < 0.001), with high diagnostic efficiency. Table 2 shows that the histogram features based on AUC maps (10th, 25th, median, 75th, 90th, and mean) were always significantly higher in the CNSL group than in the HGG group ( P < 0.001). There was no significant difference in Vp or in the 75th, 90th and mean of Ktrans, Kep, and Ve between the CNSL and HGG groups ( P > 0.05). Conclusion A histogram analysis of DCE-MRI identified significant differences between HGG and CNSL, and this will help in the clinical differential diagnosis of these conditions.

Pretreatment rectal tumors quantitative dynamic contrast-enhanced MRI characterization and predictability of outcome: Pilot study.

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 416-416
Author(s):  
Wael Shabana ◽  
Sameh Saif ◽  
Greg Cron ◽  
Rebecca Thornhill ◽  
Natalia Koudrina ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Treatment Outcome ◽  
Support Vector ◽  
Rectal Tumors ◽  
Mapping Procedure ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Potential Biomarker ◽  
Pre Treatment

416 Background: Treatment of rectal cancer is currently a one-size-fits-all approach. Unfortunately, some rectal tumors do not respond well to treatment and/or give rise to latent metastases. Therefore, a need exists for biomarkers which can better characterize tumor aggressiveness and help guide treatment decisions. We investigated the feasibility and performance of dynamic contrast-enhanced (DCE) MRI (performed pre-treatment) as a potential biomarker to predict rectal cancer response to treatment. Methods: 47 patients with rectal masses underwent DCE-MRI at 3T pre-treatment. DCE-MRI was performed with 3D FLASH (TR/TE/flip 6ms/1.6 ms/25 deg). Gadolinium concentration-versus-time in tissue was estimated with the aid of a variable-flip-angle T1 mapping procedure performed pre-DCE. The arterial input function was estimated by measuring phase-versus-time in major arteries. Tracer kinetic modeling was used to obtain maps of the quantitative perfusion parameters Ktrans and Kep. Treatment outcome was categorized as successful (regression) or unsuccessful (progression, stable, or recurrence). We also dichotomized latent metastases as absent or present. The pathology outcome of the lesions was categorized as cancerous or non-cancerous. A support vector machine classifier was constructed from the perfusion parameters, and the accuracy of each classifier was determined by 10-fold cross validation. Results: Clinical characteristics were 31 successful outcomes, 8 unsuccessful; 25 with latent metastases absent, 5 with latent metastases present; 40 cancerous, 7 non-cancerous. The accuracies of quantitative DCE-MRI parameters for predicting treatment outcome, latent metastases, and pathology outcome were 78%, 83%, and 84%, respectively. Conclusions: Pre-treatment DCE-MRI appears to be a useful predictor of rectal tumor malignancy, treatment outcome, and latent metastases. Perfusion parameters have very promising potential to predict rectal cancer outcome and may serve as an added tool for rectal cancer treatment planning.

scholarly journals Comparison of clinical value of dynamic contrast-enhanced MRI and SPECT renal dynamic imaging of GFR measurement in the evaluation of renal function in renal transplantation

2019 ◽  
Vol 6 (2) ◽  
pp. 7
Author(s):  
Hong G ◽  
Dan L ◽  
Yunhe L
Keyword(s):  
Renal Function ◽  
Renal Transplantation ◽  
Confidence Interval ◽  
Dynamic Imaging ◽  
Clinical Value ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
The Difference ◽  
Contrast Enhanced Mri

Objective: To compare the clinical value of dynamic contrast-enhanced MRI (DCE-MRI) and single-photon emission computed tomography (SPECT) renal dynamic imaging in the measurement of glomerular filtration rate (GFR) in the evaluation of renal function in renal transplantation.Methods: A total of 70 recipients who underwent renal transplantation in Baogang Hospital of Inner Mongolia from April of 2015 to April of 2018 were selected as research objects. GFR was measured in renal transplant recipients by use of DCE-MRI and SPECT (GFR-MRI and GFR-SPECT respectively), and was compared with creatinine clearance rate (Ccr). The safety of contrast media was evaluated in DCE-MRI detection.Results: The bias of GFR-MRI against Ccr value was higher than that of GFR-SPECT against Ccr value, with 30% and 50% accuracy of GFR-MRI higher than that of GFR-SPECT, and the difference was statistically significant (p < .05). Pearson correlation analysis showed that GFR-MRI and GFR-SPECT values were positively correlated to Ccr (p < .05), and the correlation coefficient of GFR-MRI and Ccr was higher than that of GFR-SPECT and Ccr, with the difference statistically significant (p < .05). By Bland-Altman analysis, 95% confidence interval of GFR-SPECT was 95.49 ml/(min·1.73 m2), and 95% confidence interval of GFR-MRI was 62.35 ml/(min·1.73m2), which was much narrower. Only 2 cases of patients developed mild rash among 70 cases of patients, and recovered spontaneously without any treatment.Conclusions: Compared with SPECT, the bias of GFR measured by DCE-MRI against Ccr is much greater. However, DCE-MRI has a higher accuracy, correlation and consistency in comparison with Ccr, and it has a narrower confidence interval. DCE-MRI can more accurately evaluate renal function in renal transplantation by measuring GFR, and it has a high safety.

scholarly journals Assessment of Correlation between Intravoxel Incoherent Motion Diffusion Weighted MR Imaging and Dynamic Contrast-Enhanced MR Imaging of Sacroiliitis with Ankylosing Spondylitis

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Yinghua Zhao ◽  
Qun Zhang ◽  
Wei Li ◽  
Yanqiu Feng ◽  
Yihao Guo ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Mr Imaging ◽  
Molecular Diffusion ◽  
Critical Role ◽  
Intravoxel Incoherent Motion ◽  
Maximum Enhancement ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Diffusion Weighted ◽  
Contrast Enhanced

The relationships between IVIM and DCE-MRI parameters in AS are not clear. We explore the correlation between intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI) and dynamic contrast-enhanced (DCE) parameters obtained on MR images in patients with ankylosing spondylitis (AS). Forty-four patients with AS were prospectively examined using a 1.5-T MR system. IVIM DWI was performed with 11 b values (range, 0–800 s/mm2) for all patients. The correlation coefficients between IVIM and DCE-MRI parameters were analyzed using Spearman’s method. Our results showed that intra- and interobserver reproducibility were excellent to relatively good (ICC = 0.804–0.981; narrow width of 95% limits of agreement). Moderate positive correlations were observed between pure molecular diffusion (Ds) and maximum enhancement (ME) and relative enhancement (RE) (r = 0.700, P<0.001; r=0.607, P < 0.001, resp.). Perfusion-related diffusion (Df) showed negative moderate correlation with ME (r = -0.608, P < 0.001). However, no correlation was observed between perfusion fraction (f) and any parameters of ME, RE, TTP, and BE (r = −0.093–0.213; P > 0.165). In conclusion, the IVIM parameters, especially f, might play a critical role in detecting the progression of AS, because it can provide more perfusion information compared with DCE-MRI; besides the IVIM MRI is a noninvasive method.

scholarly journals Nongaussian Intravoxel Incoherent Motion Diffusion Weighted and Fast Exchange Regime Dynamic Contrast-Enhanced-MRI of Nasopharyngeal Carcinoma: Preliminary Study for Predicting Locoregional Failure

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1128
Author(s):  
Ramesh Paudyal ◽  
Linda Chen ◽  
Jung Hun Oh ◽  
Kaveh Zakeri ◽  
Vaios Hatzoglou ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Intravoxel Incoherent Motion ◽  
Cutoff Value ◽  
Dce Mri ◽  
Locoregional Failure ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Fast Exchange ◽  
Exchange Regime ◽  
Fast Exchange Regime

The aim of the present study was to identify whether the quantitative metrics from pre-treatment (TX) non-Gaussian intravoxel incoherent motion (NGIVIM) diffusion weighted (DW-) and fast exchange regime (FXR) dynamic contrast enhanced (DCE)-MRI can predict patients with locoregional failure (LRF) in nasopharyngeal carcinoma (NPC). Twenty-nine NPC patients underwent pre-TX DW- and DCE-MRI on a 3T MR scanner. DW imaging data from primary tumors were fitted to monoexponential (ADC) and NGIVIM (D, D*, f, and K) models. The metrics Ktrans, ve, and τi were estimated using the FXR model. Cumulative incidence (CI) analysis and Fine-Gray (FG) modeling were performed considering death as a competing risk. Mean ve values were significantly different between patients with and without LRF (p = 0.03). Mean f values showed a trend towards the difference between the groups (p = 0.08). Histograms exhibited inter primary tumor heterogeneity. The CI curves showed significant differences for the dichotomized cutoff value of ADC ≤ 0.68 × 10−3 (mm2/s), D ≤ 0.74 × 10−3 (mm2/s), and f ≤ 0.18 (p < 0.05). τi ≤ 0.89 (s) cutoff value showed borderline significance (p = 0.098). FG’s modeling showed a significant difference for the K cutoff value of ≤0.86 (p = 0.034). Results suggest that the role of pre-TX NGIVIM DW- and FXR DCE-MRI-derived metrics for predicting LRF in NPC than alone.

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