Determining the Optimal Timing for Early Arterial Phase Hepatic CT Imaging by Measuring Abdominal Aortic Enhancement in Variable Contrast Injection Protocols

2006 ◽  
Vol 30 (2) ◽  
pp. 206-211 ◽  
Author(s):  
Takamichi Murakami ◽  
Hiromitsu Onishi ◽  
Koji Mikami ◽  
Riccardo Iannaccone ◽  
Michael P. Federle ◽  
...  
Keyword(s):  
Ct Imaging ◽  
Arterial Phase ◽  
Optimal Timing ◽  
Contrast Injection ◽  
Abdominal Aortic ◽  
Early Arterial Phase

Analisis Informasi Citra Anatomi Vaskular dengan Multi Planar Reformating (MPR) dan Maximum Intensity Projection (MIP) pada Fase Early Arteri Pemeriksaan MSCT Abdomen

2017 ◽  
Vol 3 (2) ◽  
pp. 240-244
Author(s):  
Ratna Istiningrum ◽  
Fatimah Fatimah ◽  
Tri Wulanhandarini
Keyword(s):  
Maximum Intensity Projection ◽  
Arterial Phase ◽  
P Value ◽  
Post Processing ◽  
Test Analysis ◽  
Vascular Abnormalities ◽  
Kappa Test ◽  
Anatomical Image ◽  
Parametric Statistical Test ◽  
Early Arterial Phase

Background: The development in the field of image reconstruction is growing rapidly along with the development of  CT Scan. In  the early stages of  MSCT abdominal artery is usually found  various kinds of vascular abnormalities such as stenosis, aneurism and others. Post processing image techniques commonly used include MPR and MIP. The purpose of this study is to determine whether there is a difference between MPR and MIP techniques and to know which one is better between the two.Methods: This  research was  quantitative study with experimental approach. The study was conducted at Bhakti Dharma Husada Surabaya Hospital  with 15 samples by performing reconstruction on vascular anatomical image of coronal examination of  abdominal MSCT. Assessment of anatomical information data is done by 2 respondents. Data analysis was done by kappa test followed by Wilcoxon sign rank test.Result : The results showed the difference between the post-processing of MIP and MPR on the coronal stages of the early arterial phase of the abdominal MSCT examination, based on the results of  non-parametric statistical test analysis (Wilcoxon) showed  a significant value of p value = 0.001. The result of MIP mean rank value (8,46) is higher than the mean rank value of MPR (1,50), it can be known that post proceeding MIP technique on coronal phase cuts early arterial examination of abdominal MSCT produces better anatomical image information.Conclusion: On examination of abdominal MSCT in the early arterial phase should be at the time of processing the image is also done by using post-processing MIP because more clearly than the MPR.

scholarly journals Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging

2019 ◽  
Author(s):  
Xue Sha ◽  
Guan Zhong Gong ◽  
Qing Tao Qiu ◽  
Jing Hao Duan ◽  
Deng Wang Li ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Ct Images ◽  
Ct Imaging ◽  
Arterial Phase ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph ◽  
Venous Phase

Abstract Background: We aimed to develop radiomic models based on different phases of computed tomography (CT) imaging and to investigate the efficacy of models for diagnosing mediastinal metastatic lymph nodes (LNs) in non-small cell lung cancer (NSCLC). Methods: We selected 231 mediastinal LNs confirmed by pathology results as the subjects, which were divided into training (n=163) and validation cohorts (n=68). The regions of interest (ROIs) were delineated on CT scans in the plain phase, arterial phase and venous phase, respectively. Radiomic features were extracted from the CT images in each phase. A least absolute shrinkage and selection operator (LASSO) algorithm was used to select features, and multivariate logistic regression analysis was used to build models. We constructed six models (orders 1-6) based on the radiomic features of the single- and dual-phase CT images. The performance of the radiomic model was evaluated by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV). Results: A total of 846 features were extracted from each ROI, and 10, 9, 5, 2, 2, and 9 features were chosen to develop models 1-6, respectively. All of the models showed excellent discrimination, with AUCs greater than 0.8. The plain CT radiomic model, model 1, yielded the highest AUC, specificity, accuracy and PPV, which were 0.926 and 0.925; 0.860 and 0.769; 0.871 and 0.882; and 0.906 and 0.870 in the training and validation sets, respectively. When the plain and venous phase CT radiomic features were combined with the arterial phase CT images, the sensitivity increased from 0.879 and 0.919 to 0.949 and 0979 and the NPV increased from 0.821 and 0.789 to 0.878 and 0.900 in the training group, respectively. Conclusions: All of the CT radiomic models based on different phases all showed high accuracy and precision for the diagnosis of LN metastasis (LNM) in NSCLC patients. When combined with arterial phase CT, the sensitivity and NPV of the model was be further improved.

Abstract 1122‐000229: Simultaneous Transarterial‐Transvenous Contrast Injection to Reveal Connection Point for Treatment of Carotid Cavernous Fistula

2021 ◽  
Vol 1 (S1) ◽  
Author(s):  
Chintan Rupareliya ◽  
Justin F Fraser ◽  
Lila Sheikhi
Keyword(s):  
High Pressure ◽  
Cavernous Sinus ◽  
Femoral Vein ◽  
Academic Medical Center ◽  
Arterial System ◽  
Arterial Phase ◽  
Contrast Injection ◽  
Vein Access ◽  
Guide Catheter ◽  
Diagnostic Catheter

Introduction : Cavernous sinus (CS) via inferior petrosal sinus (IPS) access can present a challenge in the treatment of carotid‐cavernous fistulas (CCF) due to anatomical variations, tortuosity, and/or difficult visualization of IPS given high retrograde flow through the fistulous connection. Methods : A 58‐year‐old male was referred to our academic medical center for three weeks of right eye pain, now complicated by redness, diplopia and blurry vision. Magnetic Resonance Imaging (MRI) brain at the outside hospital revealed hemorrhagic lesion in right parietotemporal region. Computerized tomography‐angiogram (CTA) of the head revealed filling of cavernous sinus during an arterial phase suspicious for CCF. Under general anesthesia, after accessing right common femoral artery, 4 French (F) cook catheter (Cook Medical LLC, Bloomington, IN) was advanced over 0.035 angled glide wire to the proximal right internal carotid artery. Contrast injected through the ICA showed the CS but not the IPS (Fig. 1A). Through the left common femoral vein, access was obtained using an Infinity guide catheter (Stryker Neurovascular, Fremont, CA) and Catalyst 5 (Stryker Neurovascular, Fremont, CA) distal access catheter. A Synchro 2 soft microwire (Stryker Neurovascular, Fremont, CA) was advanced through Echelon 10 (Medtronic, Minneapolis, MN) microcatheter. The venous guide catheter was advanced into right internal jugular vein (IJV) and the distal access catheter was placed into sigmoid jugular junction. Injection of contrast revealed the IPS, but not the CS (Fig. 1B). A subsequent simultaneous hand injection with the microcatheter within the IPS and the diagnostic catheter in the left ICA elucidated the venous‐venous connection (Fig. 1C,) allowing for subsequent navigation and complete treatment of the fistula through IPS using target coils (Fig. 1D). Results : Given the arterial system is a high‐pressure system and the usual direction of flow of contrast would be from the high‐pressure ICA to the low‐pressure CS, injecting a simultaneous contrast bolus from the venous end would oppose the arterial contrast flow. As a result, the fistulous connection that was previously obscured became visible allowing roadmap imaging guiding navigation into the CS. Conclusions : Use of simultaneous trans‐arterial/trans‐venous contrast injection is relatively simple compared to other reported techniques to reveal an obscure connection point. It also shortens the duration of endovascular tools in the bloodstream and thus, reduces the potential complication rate. Further use of this technique on larger study samples is important to validate its general use.

scholarly journals Adequacy of an early arterial phase low-volume contrast protocol in 64-detector computed tomography angiography for aortoiliac aneurysms

2008 ◽  
Vol 47 (3) ◽  
pp. 492-498 ◽  
Author(s):  
Nicolas Diehm ◽  
Constantino Pena ◽  
James F. Benenati ◽  
Athanassios I. Tsoukas ◽  
Barry T. Katzen
Keyword(s):  
Computed Tomography ◽  
Computed Tomography Angiography ◽  
Arterial Phase ◽  
Low Volume ◽  
Early Arterial Phase

scholarly journals Differentiation of mediastinal metastatic lymph nodes in NSCLC based on radiomic features of different phase CT imaging

2019 ◽  
Author(s):  
Xue Sha ◽  
Guan Zhong Gong ◽  
Qing Tao Qiu ◽  
Jing Hao Duan ◽  
Deng Wang Li ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Ct Images ◽  
Ct Imaging ◽  
Arterial Phase ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph ◽  
Venous Phase

Abstract Background To develop radiomic models based on different phases of computed tomography (CT) imaging and investigate the efficacy of models to diagnose mediastinal metastatic lymph nodes in non-small cell lung cancer (NSCLC).Methods We selected 231 mediastinal lymph nodes confirmed by pathology results as the subjects, which were divided into training (n=163) and validation cohorts (n=68). The regions of interest (ROIs) were delineated on CT scans of the plain phase, arterial phase and venous phase, respectively. Radiomic features were extracted from the CT images of each phase. Least absolute shrinkage and selection operator (LASSO) was used to select features, and multivariate logistic regression analysis was used to build models. We constructed six models (orders of 1-6) based on radiomic features of the single- and dual-phase CT images. The performance of the radiomic model was evaluated by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV).Results A total of 846 features were extracted from each ROI, and 10, 9, 5, 2, 2, and 9 features were chosen to develop models 1-6. All of the models showed superior differentiation, with AUCs greater than 0.8. The plain CT radiomic model, model 1, yielded the highest AUC, specificity, accuracy and PPV, which were 0.926 VS 0.925, 0.860 VS 0.769, 0.871 VS 0.882 and 0.906 VS 0.870 in the training and validation sets, respectively. When the plain and venous phase CT radiomic features were combined with the arterial phase CT images, the sensitivity increased from 0.879, 0.919 to 0.949, 0979 and the NPV increased from 0.821, 0.789 to 0.878, 0.900 in the training group, respectively.Conclusion CT radiomic models based on different phases all showed high accuracy and precision in the diagnosis of LNM in NSCLC patients. When combined with arterial phase CT, the sensitivity and NPV of the model can be further improved.

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