Abstracts of original contributions ASNC 2004 9th annual scientific session September 3-–October 3, 2004 New York, New York

Autor: A Abidov, R Hachamovitch, JD Friedman, SW Hayes, X Kang, I Cohen, G Germano, DS Berman, A Kjaer, A Cortsen, M Federspiel, B Hesse, S Holm, M O’Connor, AK Dhalla, M-Y Wong, W-Q Wang, L Belardinelli, CV Therapeutics, A Epps, S Dave, K Brewer, S Chiaramida, L Gordon, GH Hendrix, B Feng, PH Pretorius, PP Bruyant, G Boening, RD Beach, HC Gifford, MA King, JA Fessler, B-L Hsu, JA Case, LL Gegen, GK Hertenstein, SJ Cullom, TM Bateman, C Akincioglu, H Nishina, P Kavanagh, F Aboul-Enein, L Yang, S Hayes, J Friedman, D Berman, CA Santana, A Rivero, RD Folks, GB Grossman, CD Cooke, A Hunsche, TL Faber, R Halkar, EV Garcia, CL Hansen, S Silver, A Kaplan, R Rasalingam, M Awar, S Shirato, K Reist, T Htay, D Mehta, J-H Cho, J Heo, E Dubovsky, DA Calnon, KS Grewal, PB George, DR Richards, DH Hsi, N Singh, Z Meszaros, JL Thomas, E Reyes, CY Loong, K Latus, C Anagnostopoulos, SR Underwood, EJ Kostacos, LI Araujo, HC Lewin, MC Hyun, EG DePuey, H Tanaka, T Chikamori, Y Igarashi, K Harafuji, Y Usui, H Yanagisawa, S Hida, A Yamashina, HA Nasr, SA Mahmoud, MM Dalipaj, LN Golanowski, RA de Kemp, BJ Chow, RS Beanlands, TD Ruddy, HI Michelena, BM Mikolich, P McNelis, WA Van Decker, I Stathopoulos, S- A Duncan, C Isasi, MI Travin, JN Kritzman, EP Ficaro, JR Corbett, JS Allison, JW Weinsaft, FJ Wong, M Szulc, PM Okin, P Kligfield, S Ishimaru, A Yamashima, KN Giedd, SR Bergmann, S Shah, L Emmett, KC Allman, M Magee, W Van Gaal, L Kritharides, B Freedman, J Gerlach, R Miranda, N Damera, B Lone, R Singh, A Shah, S Yeturi, Y Prasad, S Blum, EN Heller, NC Bhalodkar, M Koutelou, N Kollaros, A Theodorakos, A Manginas, E Leontiadis, A Kouzoumi, D Cokkinos, M Mazzanti, M Marini, G Cianci, GP Perna, M Pai, MD Greenberg, F Liu, O Frankenberger, P Kokkinos, D Hanumara, E Goheen, C Wu, D Panagiotakos, R Fletcher, OJ Rodriguez, VN Iyer, M Lue, KT Hickey, DK Blood, S Bokhari, P Chareonthaitawee, SD Christensen, JL Allen, BJ Kemp, DO Hodge, EL Ritman, RJ Gibbons, P Smanio, G Riva, F Rodriquez, A Tricoti, A Nakhlawi, A Thom, S Dahlberg, J Leppo, PJ Slomka, R Petrovici, M Husain, DS Lee, K Nanthakumar, RM Iwanochko, RC Brunken, F DiFilippo, DR Neumann, B Bybel, B Herrington, T Bruckbauer, C Howe, K Lohmann, C Hayden, C Chatterjee, B Lathrop, MS Chen, KA Lohmann, WC Howe, T Kaczur, FP DiFilippo, RS Druz, OA Akinboboye, R Grimson, KJ Nichols, N Reichek, K Ngai, R Dim, K- T Ho, S Pary, SU Ahmed, A Ahlberg, G Cyr, PJ Vitols, A Mann, L Alexander, J Rosenblatt, J Mieres, GV Heller, AW Ahlberg, S Navare, D O’Sullivan, S Chiadika, TF Heston, MD Cerqueira, PG Jones, JR Bryngelson, KL Moutray, K Moser, MJ Zellweger, PC Burger, ME Pfisterer, J Mueller-Brand, WJ Kang, BI Lee, JC Paeng, JS Lee, J-K Chung, MC Lee, BN To, WJ O’Connell, EH Botvinick, WL Duvall, LB Croft, AJ Einstein, JE Fisher, PS Haynes, RK Rose, MJ Henzlova, A Vashist, P Sagar, Y Kuwabara, K Nakayama, Y Tsuru, J Nakaya, S Shindo, M Hasegawa, I Komuro, Y-H Liu, F Wackers, D Natale, G DePuey, R Taillefer, L Araujo, E Kostacos, S Allen, D Delbeke, F Anstett, P Kansal, JE Calvin, RC Hendel, M Gulati, P Pratap, A Takalkar, A Alavi, RM Melduni, S-A Duncan, CR Isasi, C Santana, S Esiashvili, G Grossman, H Su, LW Dobrucki, C Chow, X Hu, BN Bourke, P Cavaliere, J Hua, AJ Sinusas, FG Spinale, S Sweterlitsch, M Azure, DS Edwards, S Sudhakar, DA Chyun, LH Young, SE Inzucchi, JA Davey, FJ Wackers, GL Noble, SM Navare, J Calvert, SA Hussain, AM Ahlberg, DM Katten, WE Boden, LJ Shaw, Y Yang, A Antunes, MF Botelho, C Gomes, JJP de Lima, ML Silva, JN Moreira, S Simões, L GonÇalves, LA Providência, A Elhendy, JJ Bax, AF Schinkel, R Valkema, RT van Domburg, D Poldermans, J Arrighi, R Lampert, M Burg, R Soufer, AI Veress, JA Weiss, RH Huesman, GT Gullberg, EM Prvulovich, A van Aswegen, L Sun, J Lacy, W Jaber, G Ramakrishna, TD Miller, MK O’connor, GG Bural, A Mavi, R Kumar, G El-Haddad, SM Srinivas, null A Alavi, GS Thomas, CM Johnson, MI Miyamoto, JJ Thomas, H Majmundar, LA Ryals, ZTK Ip, HA Bishop, JP Carmody, WG Greathouse, U Igarashi, T Morishima, N Tanaka, K Takazawa, H Diedrichs, M Weber, A Koulousakis, E Voth, RHG Schwinger, HK Mohan, L Livieratos, S Gallagher, DL Bailey, J Chambers, I Fogelman, I Sobol, RJ Barst, K Nichols, A Widlitz, E Horn, J Chen, JR Galt, MK Durbin, J Ye, L Shao, J Mahenthiran, JC Elliott, S Jacob, S Stricker, VG Kalaria, S Sawada, JA Scott, K Aziz, T Yasuda, H Gewirtz, BL Hsu, K Moutray, JE Udelson, RJ Barrett, JR Johnson, C. Menenghetti, T Ruddy, SA Jenkins, J Massaro, H Haught, CS Lim, R Underwood, J Rosman, S Hanon, M Shapiro, P Schweitzer, A VanTosh, S Jones, K N Giedd, N P Johnson, J I Berliner, R R Sciacca, R L Chou, K T Hickey, S S Bokhari, O Rodriguez, KW Moser, M Nanasato, H Fujita, M Toba, T Nishimura, M Nikpour, M Urowitz, D Gladman, D Ibanez, P Harvey, J Floras, J Rouleau, R Iwanochko, ME Guglin, FL Ginsberg, M Reinig, JE Parrillo, R Cha, ME Merhige, GM Watson, JG Oliverio, V Shelton, SN Frank, AF Perna, MJ Ferreira, AI Ferrer-Antunes, V Rodrigues, F Santos, J Lima, MY Magram, MA Lodge, JW Babich, V Dilsizian, BR Line, D Skerrett, C Charles, MD Shuster, S Itescu, TS Wang, R Hosokawa, M Ohba, N Kambara, E Tadamura, S Kubo, R Nohara, T Kita, RC Thompson, AI McGhie, JH O’Keefe, SD Christenson, S Jerome, TJ Russell, DR Lowry, VJ Coombs, A Moses, SO Gottlieb, SI Heiba, G Yee, J Coppola, T Elmquist, R Braff, I Youssef, JA Ambrose, HM Abdel-Dayem, J Canto, J Scott, TE Terndrup, UR Dim, J Mclaughlin, D Pollepalle, W Schapiro, Y Wang, O Akinboboye, D Polepalle, B Phippen-Nater, J Leonardis, R Druz

Publikováno v: Journal of Nuclear Cardiology. 11:S2-S38

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2224399e84a814db32f74ecc137ae05c
https://doi.org/10.1007/bf02974964

The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0).

Autor: Miller RJH; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.; Department of Cardiac Sciences, University of Calgary and Libin Cardiovascular Institute, Calgary, Alberta, Canada., Lemley M; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Shanbhag A; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Ramirez G; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Liang JX; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Builoff V; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Kavanagh P; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Sharir T; Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel, and Ben Gurion University of the Negev, Beer Sheba, Israel., Hauser MT; Department of Nuclear Cardiology, Oklahoma Heart Hospital, Oklahoma City, Oklahoma., Ruddy TD; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada., Fish MB; Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, Oregon., Bateman TM; Cardiovascular Imaging Technologies LLC, Kansas City, Missouri., Acampa W; Department of Advanced Biomedical Sciences, University of Naples, Naples, Italy., Einstein AJ; Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York., Dorbala S; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts., Di Carli MF; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts., Feher A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut., Miller EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut., Sinusas AJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut., Halcox J; Swansea University Medical School, Swansea University, Swansea, United Kingdom; and., Martins M; Swansea University Medical School, Swansea University, Swansea, United Kingdom; and., Kaufmann PA; Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland., Dey D; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Berman DS; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California., Slomka PJ; Division of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California; piotr.slomka@cshs.org.

Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2024 Nov 01; Vol. 65 (11), pp. 1795-1801. Date of Electronic Publication: 2024 Nov 01.

Evolution of cardiac amyloidosis imaging with bone-avid tracers: From qualification to quantification.

Autor: Malhotra S; Division of Cardiology, Cook County Health, Chicago, IL, USA; Division of Cardiology, Rush Medical College, Chicago, IL, USA., Sinusas AJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. Electronic address: albert.sinusas@yale.edu.

Publikováno v: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology [J Nucl Cardiol] 2024 Sep; Vol. 39, pp. 102032. Date of Electronic Publication: 2024 Aug 28.

Contrast-enhanced computed tomography for ex vivo assessment of human kidneys: A proof-of-concept study.

Autor: Feizi A; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA., DiRito JR; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Richfield O; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA., Stendahl JC; Yale Translational Research Imaging Center, New Haven, Connecticut, USA.; Department of Medicine (cardiology), Yale School of Medicine, New Haven, Connecticut, USA., Harris M; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Spindler S; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Edwards CM; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Lysyy T; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Lee SR; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.; Yale Translational Research Imaging Center, New Haven, Connecticut, USA., Boutagy NE; Yale Translational Research Imaging Center, New Haven, Connecticut, USA.; Department of Medicine (cardiology), Yale School of Medicine, New Haven, Connecticut, USA., Feher A; Yale Translational Research Imaging Center, New Haven, Connecticut, USA.; Department of Medicine (cardiology), Yale School of Medicine, New Haven, Connecticut, USA., Yoo P; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Hosgood SA; Department of Surgery, University of Cambridge, Cambridge, UK., Mulligan DC; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Nicholson ML; Department of Surgery, University of Cambridge, Cambridge, UK., Sinusas AJ; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.; Yale Translational Research Imaging Center, New Haven, Connecticut, USA.; Department of Medicine (cardiology), Yale School of Medicine, New Haven, Connecticut, USA.; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA., Haakinson DJ; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA., Tietjen GT; Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

Publikováno v: Artificial organs [Artif Organs] 2024 Aug 27. Date of Electronic Publication: 2024 Aug 27.

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study.

Autor: Yi J; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Michalowska AM; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Center of Radiological Diagnostics, National Medical Institute of the Ministry of the Interior and Administration, Warsaw, Poland., Shanbhag A; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA., Miller RJH; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada., Geers J; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Department of Cardiology, Centrum voor Hart-en Vaatziekten (CHVZ), Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium., Zhang W; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Killekar A; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Manral N; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Lemley M; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Buchwald M; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Kwiecinski J; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland., Zhou J; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Kavanagh PB; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Liang JX; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Builoff V; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Ruddy TD; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada., Einstein AJ; Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York, United States., Feher A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States., Miller EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States., Sinusas AJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States., Berman DS; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Dey D; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Slomka PJ; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Aug 01. Date of Electronic Publication: 2024 Aug 01.