scholarly journals Multimodal magnetic resonance imaging to identify stroke onset within 6 h in patients with large vessel occlusions

2018 ◽  
Vol 3 (2) ◽  
pp. 185-192 ◽  
Author(s):  
Anke Wouters ◽  
Patrick Dupont ◽  
Soren Christensen ◽  
Bo Norrving ◽  
Rico Laage ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Intensity Ratio ◽  
Diffusion Weighted Imaging ◽  
Time Window ◽  
Area Under The Curve ◽  
Stroke Onset ◽  
Large Vessel ◽  
Relative Diffusion ◽  
Diffusion Weighted

Introduction Mechanical thrombectomy within 6 h after stroke onset improves the outcome in patients with large vessel occlusions. The aim of our study was to establish a model based on diffusion weighted and perfusion weighted imaging to provide an accurate prediction for the 6 h time-window in patients with unknown time of stroke onset. Patients and methods A predictive model was designed based on data from the DEFUSE 2 study and validated in a subgroup of patients with large vessel occlusions from the AXIS 2 trial. Results We constructed the model in 91 patients from DEFUSE 2. The following parameters were independently associated with <6 h time-window and included in the model: interquartile range and median relative diffusion weighted imaging, hypoperfusion intensity ratio, core volume and the interaction between median relative diffusion weighted imaging and hypoperfusion intensity ratio as predictors of the 6 h time-window. The area under the curve was 0.80 with a positive predictive value of 0.90 (95%CI 0.79–0.96). In the validation cohort (N = 90), the area under the curve was 0.73 ( P for difference = 0.4) with a positive predictive value of 0.85 (95%CI 0.69–0.95). Discussion After validation in a larger independent dataset the model can be considered to select patients for endovascular treatment in whom stroke onset is unknown. Conclusion In patients with large vessel occlusion and unknown time of stroke onset an automated multivariate imaging model is able to select patients who are likely within the 6 h time-window.

Quantitative Diffusion-Weighted Imaging as an Adjunct to Conventional Breast MRI for Improved Positive Predictive Value

2009 ◽  
Vol 193 (6) ◽  
pp. 1716-1722 ◽  
Author(s):  
Savannah C. Partridge ◽  
Wendy B. DeMartini ◽  
Brenda F. Kurland ◽  
Peter R. Eby ◽  
Steven W. White ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Diffusion Weighted Imaging ◽  
Breast Mri ◽  
Diffusion Weighted

Predictive value on diffusion weighted imaging scores for basilar artery occlusion after endovascular treatment

2020 ◽  
pp. 159101992094051
Author(s):  
Can Wan ◽  
Guangliang Wu ◽  
Xing Jin ◽  
Shaojun Liao ◽  
Foming Zhang ◽  
...  
Keyword(s):  
Endovascular Treatment ◽  
Basilar Artery ◽  
Predictive Value ◽  
Odds Ratio ◽  
Diffusion Weighted Imaging ◽  
Area Under The Curve ◽  
Artery Occlusion ◽  
Favorable Outcome ◽  
Basilar Artery Occlusion ◽  
Diffusion Weighted

Purpose To assess the predictive value of three scoring systems based on diffusion weighted imaging in basilar artery occlusion patients after endovascular treatment. Methods We analyzed clinical and radiological data of patients with basilar artery occlusion from January 2010 to June 2019, with modified Rankin Scale of 0–2 and 3–6 defined as favorable outcome and unfavorable outcome at three months. Diffusion weighted imaging posterior circulation ASPECTS Score (DWI pc-ASPECT Score), Renard diffusion weighted imaging Score, and diffusion weighted imaging Brainstem Score were used to evaluate the early ischemic changes. Results There were a total of 88 basilar artery occlusion patients enrolled in the study after endovascular treatment, with 33 of them getting a favorable outcome. According to the analysis, the time from onset to puncture within 12 h (odds ratio: 4.34; 95% confidence interval: 1.55–12.16; P = 0.01), presence of collateral flow via PCoA (odds ratio: 0.31; 95%CI: 0.12–0.79; P = 0.01) or between PICA and SCA (odds ratio: 0.18; 95%CI: 0.07–0.47; P = 0.00), equal or less than 15 points on baseline NIHSS (area under the curve 0.79, 95% CI 0.69–0.89; sensitivity = 69.1%, specificity = 81.8%; P = 0.00), and equal or less than 1.5 points on diffusion weighted imaging Renard score (area under the curve 0.63, 95% CI 0.51–0.75; sensitivity = 83.6%, specificity = 39.4%; P = 0.046) were independently associated with favorable outcome. Conclusions Renard diffusion weighted imaging score may be an independent predictor of functional outcome in basilar artery occlusion patients after endovascular treatment.

Abstract W MP19: Diffusion-Weighted Imaging-Fluid-Attenuated Inversion Recovery Mismatch at 1.5T VS 3T MRI in Acute Ischemic Stroke

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Kenta Seki ◽  
Masatoshi Koga ◽  
Shoichiro Sato ◽  
Kazunari Homma ◽  
Sohei Yoshimura ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Predictive Value ◽  
Diffusion Weighted Imaging ◽  
Inversion Recovery ◽  
Stroke Onset ◽  
Ischemic Lesion ◽  
3T Mri ◽  
Diffusion Weighted ◽  
Fluid Attenuated Inversion Recovery

Background and purpose: Although the diffusion-weighted imaging (DWI)-fluid-attenuated inversion recovery (FLAIR) mismatch (DFM) can be a surrogate marker of stroke onset time, DFM at 3T MRI may represent different clinical implications from that at 1.5T MRI. We aimed to compare the prevalence of DFM between 1.5T and 3T MRI, and assess factors associated with the FLAIR lesion positivity, and analyze a sensitivity and a specificity of DFM to identify patients ≤ 4.5h of stroke onset. Methods: Consecutive patients with acute ischemic stroke who underwent 3T or 1.5T MRI including DWI and FLAIR ≤ 12h of onset were enrolled. Random allocation regarding the magnetic field strength was performed according to the MRI availability. More than two stroke neurologists judged whether there is DFM. We identified ischemic lesion corresponding to stroke symptom on DWI and then determined whether the FLAIR lesion positivity is negative, subtle (only slightly different from adjacent parenchyma) or evident (a clearly high signal). DFM was defined as the FLAIR negative or subtle corresponding to the DWI lesion. Results: Of 179 patients (women, 39%; 72±11 years) studied, 89 and 90 received 3T and 1.5T MRI, respectively. The median onset to MRI time (OMT) was 2.5h at both 3T and 1.5T MRI. The FLAIR positivity was negative in 51% at 3T vs. 30% at 1.5T, subtle in 22% vs. 27% and evident in 27% vs. 43%, respectively (p=0.015); thus DFM was identified in 73% vs. 57% (p=0.028). On ordinal logistic regression with backward stepwise selection, 3T MRI (OR 0.40, 95%CI 0.22-0.71) and infratentorial infarction (OR 0.29, 95%CI 0.12-0.68) were negatively, and OMT (per 1h, OR 1.18, 95%CI 1.07-1.30) was positively associated with the FLAIR lesion positivity. DFM ≤ 4.5h was more frequently observed at 3T than 1.5T MRI (80% vs. 60%, p=0.015). Using DFM, patients ≤ 4.5h of onset were detected with a sensitivity of 0.80, a specificity of 0.42, a positive predictive value of 0.77 and a negative predictive value of 0.46 at 3T MRI and 0.60, 0.53, 0.82 and 0.26, respectively, at 1.5T MRI. Conclusions: DFM was more frequently observed at 3T than at 1.5T MRI. Because the FLAIR lesion was associated with 1.5T rather than 3T, DFM at 3T may have different implications regarding time after stroke onset from that at 1.5T.

scholarly journals Role of diffusion-weighted magnetic resonance imaging in assessment of mammographically detected asymmetric densities

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Mohamed Zidan ◽  
Shimaa Ali Saad ◽  
Eman Abo Elhamd ◽  
Hosam Eldin Galal ◽  
Reem Elkady
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Benign Lesions ◽  
Adc Value ◽  
Dce Mri ◽  
Diffusion Weighted ◽  
Breast Asymmetries ◽  
Malignant Lesions

Abstract Background Asymmetric breast density is a potentially perplexing finding; it may be due to normal hormonal variation of the parenchymal pattern and summation artifact or it may indicate an underlying true pathology. The current study aimed to identify the role of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) values in the assessment of breast asymmetries. Results Fifty breast lesions were detected corresponding to the mammographic asymmetry. There were 35 (70%) benign lesions and 15 (30%) malignant lesions. The mean ADC value was 1.59 ± 0.4 × 10–3 mm2/s for benign lesions and 0.82 ± 0.3 × 10–3 mm2/s for malignant lesions. The ADC cutoff value to differentiate between benign and malignant lesions was 1.10 × 10–3 mm2/s with sensitivity 80%, specificity 88.6%, positive predictive value 75%, negative predictive value 91%, and accuracy 86%. Best results were achieved by implementation of the combined DCE-MRI and DWI protocol, with sensitivity 93.3%, specificity 94.3%, positive predictive value 87.5%, negative predictive value 97.1%, and accuracy 94%. Conclusion Dynamic contrast-enhanced MRI (DCE-MRI) was the most sensitive method for the detection of the underlying malignant pathology of breast asymmetries. However, it provided a limited specificity that may cause improper final BIRADS classification and may increase the unnecessary invasive procedures. DWI was used as an adjunctive method to DCE-MRI that maintained high sensitivity and increased specificity and the overall diagnostic accuracy of breast MRI examination. Best results can be achieved by the combined protocol of DCE-MRI and DWI.

Combining tumor size and diffusion-weighted imaging to diagnose normal-sized metastatic pelvic lymph nodes in cervical cancers

2018 ◽  
Vol 60 (3) ◽  
pp. 388-395 ◽  
Author(s):  
Jiacheng Song ◽  
Qiming Hu ◽  
Junwen Huang ◽  
Zhanlong Ma ◽  
Ting Chen
Keyword(s):  
Cervical Cancer ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Tumor Size ◽  
Diffusion Weighted Imaging ◽  
Area Under The Curve ◽  
Adc Value ◽  
Cervical Cancers ◽  
Pelvic Lymph Nodes ◽  
Diffusion Weighted

Background Detecting normal-sized metastatic pelvic lymph nodes (LNs) in cervical cancers, although difficult, is of vital importance. Purpose To investigate the value of diffusion-weighted-imaging (DWI), tumor size, and LN shape in predicting metastases in normal-sized pelvic LNs in cervical cancers. Material and Methods Pathology confirmed cervical cancer patients with complete magnetic resonance imaging (MRI) were documented from 2011 to 2016. A total of 121 cervical cancer patients showed small pelvic LNs (<5 mm) and 92 showed normal-sized (5–10 mm) pelvic LNs (39 patients with 55 nodes that were histologically metastatic, 53 patients with 71 nodes that were histologically benign). Preoperative clinical and MRI variables were analyzed and compared between the metastatic and benign groups. Results LN apparent diffusion coefficient (ADC) values and short-to-long axis ratios were not significantly different between metastatic and benign normal-sized LNs (0.98 ± 0.15 × 10−3 vs. 1.00 ± 0.18 × 10−3 mm2/s, P = 0.45; 0.65 ± 0.16 vs. 0.64 ± 0.16, P = 0.60, respectively). Tumor ADC value of the metastatic LNs was significantly lower than the benign LNs (0.98 ± 0.12 × 10−3 vs. 1.07 ± 0.21 × 10−3 mm2/s, P = 0.01). Tumor size (height) was significantly higher in the metastatic LN group (27.59 ± 9.18 mm vs. 21.36 ± 10.40 mm, P < 0.00). Spiculated border rate was higher in the metastatic LN group (9 [16.4%] vs. 3 [4.2%], P = 0.03). Tumor (height) combined with tumor ADC value showed the highest area under the curve of 0.702 ( P < 0.00) in detecting metastatic pelvic nodes, with a sensitivity of 59.1% and specificity of 78.8%. Conclusions Tumor DWI combined with tumor height were superior to LN DWI and shape in predicting the metastatic state of normal-sized pelvic LNs in cervical cancer patients.

scholarly journals Pomona Large Vessel Occlusion Screening Tool for Prehospital and Emergency Room Settings

2018 ◽  
Vol 7 (3-4) ◽  
pp. 196-203 ◽  
Author(s):  
Kessarin Panichpisal ◽  
Kenneth Nugent ◽  
Maharaj Singh ◽  
Richard Rovin ◽  
Reji Babygirija ◽  
...  
Keyword(s):  
Los Angeles ◽  
Acute Stroke ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Predictive Performance ◽  
Large Vessel ◽  
Stroke Severity ◽  
Vessel Occlusion ◽  
Comparable Accuracy ◽  
Score Model

Background: Early identification of patients with acute ischemic strokes due to large vessel occlusions (LVO) is critical. We propose a simple risk score model to predict LVO. Method: The proposed scale (Pomona Scale) ranges from 0 to 3 and includes 3 items: gaze deviation, expressive aphasia, and neglect. We reviewed a cohort of all acute stroke activation patients between February 2014 and January 2016. The predictive performance of the Pomona Scale was determined and compared with several National Institutes of Health Stroke Scale (NIHSS) cutoffs (≥4, ≥6, ≥8, and ≥10), the Los Angeles Motor Scale (LAMS), the Cincinnati Prehospital Stroke Severity (CPSS) scale, the Vision Aphasia and Neglect Scale (VAN), and the Prehospital Acute Stroke Severity Scale (PASS). Results: LVO was detected in 94 of 776 acute stroke activations (12%). A Pomona Scale ≥2 had comparable accuracy to predict LVO as the VAN and CPSS scales and higher accuracy than Pomona Scale ≥1, LAMS, PASS, and NIHSS. A Pomona Scale ≥2 had an accuracy (area under the curve) of 0.79, a sensitivity of 0.86, a specificity of 0.70, a positive predictive value of 0.71, and a negative predictive value of 0.97 for the detection of LVO. We also found that the presence of either neglect or gaze deviation alone had comparable accuracy of 0.79 as Pomona Scale ≥2 to detect LVO. Conclusion: The Pomona Scale is a simple and accurate scale to predict LVO. In addition, the presence of either gaze deviation or neglect also suggests the possibility of LVO.

Abstract 15233: The Lesion Length Gives a Better Effect on the Fractional Flow Reserve Than the Minimal Luminal Area in the Intermediate Coronary Artery Lesion

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Yoon Juneyoung ◽  
Xiongjie Jin ◽  
Kyong-Woo Seo ◽  
Jin-sun Park ◽  
Hyoung-Mo Yang ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Lesion Length ◽  
Visual Estimation ◽  
Luminal Area ◽  
Artery Disease

Introduction: The pressure gradient of the circulation fluid in a stenosis area depends on minimal luminal area (MLA) of the stenosis, lesion length (LL), and the fluid velocity. However, the correlation of the LL and the MLA; the cutoff values are uncertain. Hypothesis: LL and MLA differently influences the FFR. Methods: We studied 117 patients with intermediate coronary artery disease who underwent FFR and IVUS measurement out of 302 patients in FAVOR study. This study was a prospective, 1:1 randomized, open label multicenter trial to demonstrate the clinical outcomes between FFR and IVUS-guided PCI. Inclusion criteria were as follows: 1)Angina or documented silent ischemia 2) De novo intermediate coronary artery disease (30-70% diameter stenosis) by visual estimation, 3) Reference vessel diameter ≥ 3.0mm by visual estimation. We excluded left main disease, MI, EF< 40%, and graft vessel. There were no significant differences in baseline clinical characteristics. The mean values are the QCA (54.3±14.0 %), MLA (3.6±1.4 mm2) and LL (20.6±1.4mm), respectively. We were performed the path analysis using AMOS 18, and estimated the ROC curve in SPSS 18. Results: Standardized estimates were the LL -0.47,QCA -0.28 and MLA -0.21 (R2=0.594, p<0.000) in path analysis. The model is recursive and statistically significant. The FFR was ≤0.80 in 47 lesions (31%). The optimal LL for an FFR of ≤0.80 was 15.8mm (90% sensitivity, 50% specificity, 44% positive predictive value, 87% negative predictive value, area under the curve: 0.75, 95% CI: 0.66 to 0.85; p < 0.001) and MLA 3.9mm (sensitivity 86%, specificity 59%, 35% positive predictive value , 94% negative predictive value, area under the curve: 0.78, 95% CI: 0.67 to 0.85; p < 0.001) Conclusions: The lesion length influenced more the FFR than MLA. The lesion length ≥ 15.8mm and MLA ≤ 3.9mm are risk zones, which need to be confirm the functional status with FFR because of the low positive predictive value

Clinical suspicion of spondylodiscitis with equivocal MRI findings: does diffusion-weighted imaging prove helpful here?

2020 ◽  
pp. 028418512092790
Author(s):  
Jeanette Henkelmann ◽  
Kristina Bremicker ◽  
Timm Denecke ◽  
Karl-Titus Hoffmann ◽  
Ralf Henkelmann ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Region Of Interest ◽  
High Sensitivity ◽  
Diagnostic Value ◽  
Mri Findings ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values

Background Despite the high sensitivity of magnetic resonance imaging (MRI), early detection of spondylodiscitis (SpD) remains challenging due to its low specificity. Purpose To assess the diagnostic value of diffusion-weighted imaging (DWI) in suspected cases of SpD with ambiguous early MRI findings in the differentiation of degenerative disorders (DD). Material and Methods In this prospective study, 52 patients suspected of having SpD underwent a whole-spine 3-T MRI scan comprising sagittal DWI. Of 58 conspicuous, T2-weighted, signal increased discs, 39 were successfully evaluated using DWI. Apparent diffusion coefficient (ADC) values and ADC maps were blindly analyzed using the region of interest of the conspicuous disc and a normal adjacent reference disc. Intraindividual ratios (conspicuous disc: reference disc) were calculated. Results All conspicuous discs showed increased absolute ADC values, which did not differ significantly between SpD (n = 22) and DD (n = 17). However, ADC ratio was significantly higher in SpD vs. DD ( P < 0.05). In receiver operating characteristic curve analysis, an ADC ratio threshold of 1.6 resulted in 45% sensitivity and 88% specificity (area under the curve = 0.69) for SpD diagnosis. Conclusion The absolute ADC value does not provide a reliable diagnosis of SpD. Increased diffusivity can be an indication of infection but should always be discussed in the context of existing disc degeneration.

scholarly journals Immunocytochemistry Test of Protein BRAF Expression for Diagnosis of Well Differentiated Thyroid Carcinoma

2018 ◽  
Vol 11 (3) ◽  
pp. 843-849 ◽  
Author(s):  
I. Wayan Sudarsa ◽  
Elvis Deddy Kurniawan Pualillin ◽  
Putu Anda Tusta Adiputra ◽  
Ida Bagus Tjakra Wibawa Manuaba
Keyword(s):  
Positive Predictive Value ◽  
Thyroid Carcinoma ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Preoperative Diagnosis ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Differentiated Thyroid Carcinoma ◽  
Inclusion Criteria

Background: Thyroid carcinoma generally has a good prognosis. The main focus of current research on thyroid carcinoma is to increase the accuracy of preoperative diagnosis of thyroid nodules. When the result of fine needle aspiration biopsy (FNAB) is indeterminate, clinicians often have doubts in determining the surgical management. Objective: Protein BRAF expression analysis can help improve the accuracy of FNAB and optimize the management of differentiated thyroid carcinoma. Methods: This study is a diagnostic test performed from October 2016 at Sanglah General Hospital with 38 patients as subjects who fulfilled the inclusion criteria. Data is being presented in descriptive form before diagnostic test is done to determine sensitivity, specificity, positive predictive value, negative predictive value and the accuracy of immunocytochemistry test for BRAF on indeterminate thyroid nodule. Results: Thirty-eight samples met the inclusion criteria during the study period. Three samples were male (7.9%) and 35 samples (92.1%) were female. The mean age of the sample was 45.21 years (SD ±10.910 years) with ages ranging from 23 to 66 years. Of the 12 samples undergoing isthmolobectomy, 7 samples (58.4%) were determined to be malignant from histopathological results. The sensitivity value of BRAF immunocytochemistry test is 45.45% with a specificity value of 81.25%, a positive predictive value of 76.92%, a negative predictive value of 52% and an accuracy of 60.50%. Analysis of the receiver operator (ROC) curve shows the area under the curve (AUC) of 63.4% with a confidence interval of 45.5–81.2%. Conclusion: Immunocytochemistry BRAF test have a reliable diagnostic value and can be taken into consideration in the preoperative diagnosis of thyroid malignancies.

Sign in / Sign up

Export Citation Format

Share Document