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Multi-slice CT is a new and evolving non-invasive technology to visualize the coronary arteries. It was found to be safe and reliable to detect or exclude the presence of quality-of-life-limiting CAD. Multislice CT appears to be useful as a first-line imaging technique in carefully selected patients to evaluate the need for ICA. While clinical reliability of 4-slice CT scanners is questionable in patients with higher heart rates, severe calcification, shortness of breath, and high body mass index, 16-slice CT and, even more so, 64-slice CT provide sufficient robustness to justify introducing multi-slice coronary CTA for patients with chest pain into clinical practice. Further studies with larger patient numbers and the use of later-generation scanner technology are required to underline the place of multi-slice CT in the diagnostic algorithm of CAD in patients with chest pain.

Boolean network is one of the commonly used methods for building gene regulatory networks from time series microarray data. However, it has a major drawback that requires heavy computing times to infer large scale gene networks. This paper proposes a variable selection method to reduce Boolean network computing times using the chi-square statistics for testing independence in two way contingency tables. We compare the computing times and the accuracy of the estimated network structure by the proposed method with those of the original Boolean network method. For the comparative studies, we use simulated data and a real yeast cell-cycle gene expression data (Spellman , 1998). The comparative results show that the proposed variable selection method improves the computing time of Boolean network algorithm. We expect the proposed variable selection method to be more efficient for the large scale gene regulatory network studies.

Boolean network is one of the commonly used methods for building gene regulatory networks from time series microarray data. However, it has a major drawback that requires heavy computing times to infer large scale gene networks. This paper proposes a variable selection method to reduce Boolean network computing times using the chi-square statistics for testing independence in two way contingency tables. We compare the computing times and the accuracy of the estimated network structure by the proposed method with those of the original Boolean network method. For the comparative studies, we use simulated data and a real yeast cell-cycle gene expression data (Spellman , 1998). The comparative results show that the proposed variable selection method improves the computing time of Boolean network algorithm. We expect the proposed variable selection method to be more efficient for the large scale gene regulatory network studies.

In the last few years, multi-slice CT has become an alternative to catheter angiography. CTA is now the method of choice for detecting coronary arteries anomalies, fistulas, and aneurysms due to the 3D capability of this technique. Moreover, it is noninvasive, reproducible, and operator-independent. Especially in complex anomalies, if catheter angiography is not possible, multi-slice CT can accurately depict the anatomy of the heart and vessels. In contrast to catheter angiography, the thrombotic portion of aneurysms can be visualized with multislice CT. The new generation of CT scanners, with up to 64 slices, may improve image quality and resolution due to the smaller slice thickness and shorter breath-hold time. However, the ability of multi-slice CT to detect dissection and vasculitis of coronary arteries remains to be proven in future studies.

In the last few years, multi-slice CT has become an alternative to catheter angiography. CTA is now the method of choice for detecting coronary arteries anomalies, fistulas, and aneurysms due to the 3D capability of this technique. Moreover, it is noninvasive, reproducible, and operator-independent. Especially in complex anomalies, if catheter angiography is not possible, multi-slice CT can accurately depict the anatomy of the heart and vessels. In contrast to catheter angiography, the thrombotic portion of aneurysms can be visualized with multislice CT. The new generation of CT scanners, with up to 64 slices, may improve image quality and resolution due to the smaller slice thickness and shorter breath-hold time. However, the ability of multi-slice CT to detect dissection and vasculitis of coronary arteries remains to be proven in future studies.

In the last few years, multi-slice CT has become an alternative to catheter angiography. CTA is now the method of choice for detecting coronary arteries anomalies, fistulas, and aneurysms due to the 3D capability of this technique. Moreover, it is noninvasive, reproducible, and operator-independent. Especially in complex anomalies, if catheter angiography is not possible, multi-slice CT can accurately depict the anatomy of the heart and vessels. In contrast to catheter angiography, the thrombotic portion of aneurysms can be visualized with multislice CT. The new generation of CT scanners, with up to 64 slices, may improve image quality and resolution due to the smaller slice thickness and shorter breath-hold time. However, the ability of multi-slice CT to detect dissection and vasculitis of coronary arteries remains to be proven in future studies.

Multi-slice CT is a continuously evolving technology that is increasingly used for cardiovascular applications, in particular to assess the coronary arteries and CABGs. A comprehensive work-up of these patients, however, also includes assessment of the cardiac valves. Some of the important information about the valves can also be obtained from the same multi-slice CT scan obtained during imaging of the coronary arteries or CABGs, obviating the need of an additional scan.

Since the velocity of the blood and thus the pressure gradient along the aortic and mitral valve cannot be determined from multi-slice CT imaging, information provided by this approach about the cardiac valves is mostly restricted to morphological diagnosis. For example, multi-slice CT is particularly valuable for monitoring aortic valve calcium in patients on lipid-lowering therapy. Due to the radiation exposure inherent with the technique, however, the indications for repetitive multi-slice CT scans need to be restricted to patients who cannot be assessed thoroughly with echocardiography or MRI. Accurate quantification of aortic valve area, early detection of perivalvular abscess formation, and diagnosis of residual systolic anterior movement of the mitral valve and tendinous cords in patients with hypertrophic obstructive cardiomyopathy after percutaneous transluminal septal myocardial ablation may become other diagnostic niches of multi-slice CT in cardiac imaging.

Multi-slice CT is a continuously evolving technology that is increasingly used for cardiovascular applications, in particular to assess the coronary arteries and CABGs. A comprehensive work-up of these patients, however, also includes assessment of the cardiac valves. Some of the important information about the valves can also be obtained from the same multi-slice CT scan obtained during imaging of the coronary arteries or CABGs, obviating the need of an additional scan.

Since the velocity of the blood and thus the pressure gradient along the aortic and mitral valve cannot be determined from multi-slice CT imaging, information provided by this approach about the cardiac valves is mostly restricted to morphological diagnosis. For example, multi-slice CT is particularly valuable for monitoring aortic valve calcium in patients on lipid-lowering therapy. Due to the radiation exposure inherent with the technique, however, the indications for repetitive multi-slice CT scans need to be restricted to patients who cannot be assessed thoroughly with echocardiography or MRI. Accurate quantification of aortic valve area, early detection of perivalvular abscess formation, and diagnosis of residual systolic anterior movement of the mitral valve and tendinous cords in patients with hypertrophic obstructive cardiomyopathy after percutaneous transluminal septal myocardial ablation may become other diagnostic niches of multi-slice CT in cardiac imaging.

Boolean network is one of the commonly used methods for building gene regulatory networks from time series microarray data. However, it has a major drawback that requires heavy computing times to infer large scale gene networks. This paper proposes a variable selection method to reduce Boolean network computing times using the chi-square statistics for testing independence in two way contingency tables. We compare the computing times and the accuracy of the estimated network structure by the proposed method with those of the original Boolean network method. For the comparative studies, we use simulated data and a real yeast cell-cycle gene expression data (Spellman , 1998). The comparative results show that the proposed variable selection method improves the computing time of Boolean network algorithm. We expect the proposed variable selection method to be more efficient for the large scale gene regulatory network studies.

In the last few years, multi-slice CT has become an alternative to catheter angiography. CTA is now the method of choice for detecting coronary arteries anomalies, fistulas, and aneurysms due to the 3D capability of this technique. Moreover, it is noninvasive, reproducible, and operator-independent. Especially in complex anomalies, if catheter angiography is not possible, multi-slice CT can accurately depict the anatomy of the heart and vessels. In contrast to catheter angiography, the thrombotic portion of aneurysms can be visualized with multislice CT. The new generation of CT scanners, with up to 64 slices, may improve image quality and resolution due to the smaller slice thickness and shorter breath-hold time. However, the ability of multi-slice CT to detect dissection and vasculitis of coronary arteries remains to be proven in future studies.