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10.1002/ccd.25660 http://scihub22266oqcxt.onion/10.1002/ccd.25660 C4484583!4484583!25178981     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 296.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 330.4 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Catheter+Cardiovasc+Interv 2015 ; 85 (4): E108-15 Nephropedia Template TP {{tp|p=25178981|t=2015. Differences Determined by Optical Coherence Tomography Volumetric Analysis in Non-Culprit Lesion Morphology and Inflammation in ST-Segment Elevation Myocardial Infarction and Stable Angina Pectoris Patients |pdf=|usr=}}{{25178981}} gab.com Text Differences Determined by Optical Coherence Tomography Volumetric Analysis in Non-Culprit Lesion Morphology and Inflammation in ST-Segment Elevation Myocardial Infarction and Stable Angina Pectoris Patients JO: Catheter Cardiovasc Interv http://www.kidney.de/pget.php?&tw=1&pmid=25178981 #FOAvip Background: While the current methodology for determining fibrous cap (FC) thickness of lipid plaques is based on manual measurements of arbitrary points, which could lead to high variability and decreased accuracy, it ignores the three-dimensional (3-D) morphology of coronary artery disease. Objective: To compare, utilizing optical coherence tomography (OCT) assessments, volumetric quantification of FC, and macrophage detection using both visual assessment and automated image processing algorithms in non-culprit lesions of STEMI and stable angina pectoris (SAP) patients. Methods: Lipid plaques were selected from 67 consecutive patients (1 artery/patient). FC was manually delineated by a computer-aided method and automatically classified into three thickness categories: FC < 65 ?m (i.e., thin-cap fibroatheroma [TCFA]), 65?150 ?m, and >150 ?m. Minimum thickness, absolute categorical surface area, and fractional luminal area of FC were analyzed. Automated detection and quantification of macrophage was performed within the segmented FC. Results: A total of 5,503 cross-sections were analyzed. STEMI patients when compared with SAP patients had more absolute categorical surface area for TCFA (0.43 ± 0.45 mm2 vs. 0.15 ± 0.25 mm2; P = 0.011), thinner minimum FC thickness (31.63 ± 17.09 ?m vs. 47.27 ± 26.56 ?m, P = 0.012), greater fractional luminal area for TCFA (1.65 ± 1.56% vs. 0.74 ± 1.2%, P = 0.046), and greater macrophage index (0.0217 ± 0.0081% vs. 0.0153 ± 0.0045%, respectively, P< 0.01). Conclusion: The novel OCT-based 3-D quantification of the FC and macrophage demonstrated thinner FC thickness and larger areas of TCFA coupled with more inflammation in non-culprit sites of STEMI compared with SAP. Twit Text FOAVip Differences Determined by Optical Coherence Tomography Volumetric Analysis in Non-Culprit Lesion Morphology and Inflammation in ST-Segment Elevation Myocardial Infarction and Stable Angina Pectoris Patients ????Catheter Cardiovasc Interv http://www.kidney.de/pget.php?&tw=1&pmid=25178981 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25178981 #FOAvip English Wikipedia <ref>{{Cite pmid|25178981}}</ref> Differences Determined by Optical Coherence Tomography Volumetric Analysis in Non-Culprit Lesion Morphology and Inflammation in ST-Segment Elevation Myocardial Infarction and Stable Angina Pectoris Patients #MMPMID25178981 Galon MZ; Wang Z; Bezerra HG; Lemos PA; Schnell A; Wilson DL; Rollins AM; Costa MA; Attizzani GF Catheter Cardiovasc Interv 2015[Mar]; 85 (4): E108-15 PMID25178981show ga Background: While the current methodology for determining fibrous cap (FC) thickness of lipid plaques is based on manual measurements of arbitrary points, which could lead to high variability and decreased accuracy, it ignores the three-dimensional (3-D) morphology of coronary artery disease. Objective: To compare, utilizing optical coherence tomography (OCT) assessments, volumetric quantification of FC, and macrophage detection using both visual assessment and automated image processing algorithms in non-culprit lesions of STEMI and stable angina pectoris (SAP) patients. Methods: Lipid plaques were selected from 67 consecutive patients (1 artery/patient). FC was manually delineated by a computer-aided method and automatically classified into three thickness categories: FC < 65 ?m (i.e., thin-cap fibroatheroma [TCFA]), 65?150 ?m, and >150 ?m. Minimum thickness, absolute categorical surface area, and fractional luminal area of FC were analyzed. Automated detection and quantification of macrophage was performed within the segmented FC. Results: A total of 5,503 cross-sections were analyzed. STEMI patients when compared with SAP patients had more absolute categorical surface area for TCFA (0.43 ± 0.45 mm2 vs. 0.15 ± 0.25 mm2; P = 0.011), thinner minimum FC thickness (31.63 ± 17.09 ?m vs. 47.27 ± 26.56 ?m, P = 0.012), greater fractional luminal area for TCFA (1.65 ± 1.56% vs. 0.74 ± 1.2%, P = 0.046), and greater macrophage index (0.0217 ± 0.0081% vs. 0.0153 ± 0.0045%, respectively, P< 0.01). Conclusion: The novel OCT-based 3-D quantification of the FC and macrophage demonstrated thinner FC thickness and larger areas of TCFA coupled with more inflammation in non-culprit sites of STEMI compared with SAP. äDifferences Determined by Optical Coherence Tomography Volumetric Anal(epmc).pdf DeepDyve Pubget Overpricing