116 related articles for article (PubMed ID: 38166336)
1. Artificial Intelligence-based Coronary Stenosis Quantification at Coronary CT Angiography versus Quantitative Coronary Angiography.
Dundas J; Leipsic JA; Sellers S; Blanke P; Miranda P; Ng N; Mullen S; Meier D; Akodad M; Sathananthan J; Collet C; de Bruyne B; Muller O; Tzimas G
Radiol Cardiothorac Imaging; 2023 Dec; 5(6):e230124. PubMed ID: 38166336
[TBL] [Abstract][Full Text] [Related]
2. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography.
Jonas RA; Barkovich E; Choi AD; Griffin WF; Riess J; Marques H; Chang HJ; Choi JH; Doh JH; Her AY; Koo BK; Nam CW; Park HB; Shin SH; Cole J; Gimelli A; Khan MA; Lu B; Gao Y; Nabi F; Nakazato R; Schoepf UJ; Driessen RS; Bom MJ; Thompson RC; Jang JJ; Ridner M; Rowan C; Avelar E; Généreux P; Knaapen P; de Waard GA; Pontone G; Andreini D; Guglielmo M; Al-Mallah MH; Jennings RS; Crabtree TR; Earls JP
Clin Imaging; 2022 Apr; 84():149-158. PubMed ID: 35217284
[TBL] [Abstract][Full Text] [Related]
3. Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard.
Lipkin I; Telluri A; Kim Y; Sidahmed A; Krepp JM; Choi BG; Jonas R; Marques H; Chang HJ; Choi JH; Doh JH; Her AY; Koo BK; Nam CW; Park HB; Shin SH; Cole J; Gimelli A; Khan MA; Lu B; Gao Y; Nabi F; Nakazato R; Schoepf UJ; Driessen RS; Bom MJ; Jang JJ; Ridner M; Rowan C; Avelar E; Généreux P; Knaapen P; de Waard GA; Pontone G; Andreini D; Al-Mallah MH; Crabtree TR; Earls JP; Choi AD; Min JK
AJR Am J Roentgenol; 2022 Sep; 219(3):407-419. PubMed ID: 35441530
[No Abstract] [Full Text] [Related]
4. AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A CREDENCE Trial Substudy.
Griffin WF; Choi AD; Riess JS; Marques H; Chang HJ; Choi JH; Doh JH; Her AY; Koo BK; Nam CW; Park HB; Shin SH; Cole J; Gimelli A; Khan MA; Lu B; Gao Y; Nabi F; Nakazato R; Schoepf UJ; Driessen RS; Bom MJ; Thompson R; Jang JJ; Ridner M; Rowan C; Avelar E; Généreux P; Knaapen P; de Waard GA; Pontone G; Andreini D; Earls JP
JACC Cardiovasc Imaging; 2023 Feb; 16(2):193-205. PubMed ID: 35183478
[TBL] [Abstract][Full Text] [Related]
5. Coronary CT Angiography-based Morphologic Index for Predicting Hemodynamically Significant Coronary Stenosis.
Wang C; Leng S; Tan RS; Chai P; Fam JM; Teo LLS; Chin CY; Ong CC; Baskaran L; Keng YJF; Low AFH; Chan MY; Wong ASL; Chua SJT; Wu Q; Tan SY; Lim ST; Zhong L
Radiol Cardiothorac Imaging; 2023 Dec; 5(6):e230064. PubMed ID: 38166346
[TBL] [Abstract][Full Text] [Related]
6. Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
von Knebel Doeberitz PL; De Cecco CN; Schoepf UJ; Duguay TM; Albrecht MH; van Assen M; Bauer MJ; Savage RH; Pannell JT; De Santis D; Johnson AA; Varga-Szemes A; Bayer RR; Schönberg SO; Nance JW; Tesche C
Eur Radiol; 2019 May; 29(5):2378-2387. PubMed ID: 30523456
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic Accuracy of Noninvasive 64-row Computed Tomographic Coronary Angiography (CCTA) Compared with Myocardial Perfusion Imaging (MPI): The PICTURE Study, A Prospective Multicenter Trial.
Budoff MJ; Li D; Kazerooni EA; Thomas GS; Mieres JH; Shaw LJ
Acad Radiol; 2017 Jan; 24(1):22-29. PubMed ID: 27771227
[TBL] [Abstract][Full Text] [Related]
8. CT Evaluation by Artificial Intelligence for Atherosclerosis, Stenosis and Vascular Morphology (CLARIFY): A Multi-center, international study.
Choi AD; Marques H; Kumar V; Griffin WF; Rahban H; Karlsberg RP; Zeman RK; Katz RJ; Earls JP
J Cardiovasc Comput Tomogr; 2021; 15(6):470-476. PubMed ID: 34127407
[TBL] [Abstract][Full Text] [Related]
9. Diagnostic performance of quantitative coronary computed tomography angiography and quantitative coronary angiography to predict hemodynamic significance of intermediate-grade stenoses.
Ghekiere O; Dewilde W; Bellekens M; Hoa D; Couvreur T; Djekic J; Coolen T; Mancini I; Vanhoenacker PK; Dendale P; Nchimi A
Int J Cardiovasc Imaging; 2015 Dec; 31(8):1651-61. PubMed ID: 26323355
[TBL] [Abstract][Full Text] [Related]
10. Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial.
Kim Y; Choi AD; Telluri A; Lipkin I; Bradley AJ; Sidahmed A; Jonas R; Andreini D; Bathina R; Baggiano A; Cerci R; Choi EY; Choi JH; Choi SY; Chung N; Cole J; Doh JH; Ha SJ; Her AY; Kepka C; Kim JY; Kim JW; Kim SW; Kim W; Pontone G; Villines TC; Cho I; Danad I; Heo R; Lee SE; Lee JH; Park HB; Sung JM; Crabtree T; Earls JP; Min JK; Chang HJ
Clin Cardiol; 2023 May; 46(5):477-483. PubMed ID: 36847047
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence evaluation of coronary computed tomography angiography for coronary stenosis classification and diagnosis.
Lee DY; Chang CC; Ko CF; Lee YH; Tsai YL; Chou RH; Chang TY; Guo SM; Huang PH
Eur J Clin Invest; 2024 Jan; 54(1):e14089. PubMed ID: 37668089
[TBL] [Abstract][Full Text] [Related]
12. Performance of an Artificial Intelligence-based Application for the Detection of Plaque-based Stenosis on Monoenergetic Coronary CT Angiography: Validation by Invasive Coronary Angiography.
Yi Y; Xu C; Guo N; Sun J; Lu X; Yu S; Wang Y; Vembar M; Jin Z; Wang Y
Acad Radiol; 2022 Apr; 29 Suppl 4():S49-S58. PubMed ID: 34895831
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Coronary Computed Tomography Angiography-Derived vs Invasive Fractional Flow Reserve Assessment: Meta-Analysis with Subgroup Evaluation of Intermediate Stenosis.
Baumann S; Renker M; Hetjens S; Fuller SR; Becher T; Loßnitzer D; Lehmann R; Akin I; Borggrefe M; Lang S; Wichmann JL; Schoepf UJ
Acad Radiol; 2016 Nov; 23(11):1402-1411. PubMed ID: 27639627
[TBL] [Abstract][Full Text] [Related]
14. Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality.
Liu CY; Tang CX; Zhang XL; Chen S; Xie Y; Zhang XY; Qiao HY; Zhou CS; Xu PP; Lu MJ; Li JH; Lu GM; Zhang LJ
Eur J Radiol; 2021 Sep; 142():109835. PubMed ID: 34237493
[TBL] [Abstract][Full Text] [Related]
15. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence.
Jonas R; Earls J; Marques H; Chang HJ; Choi JH; Doh JH; Her AY; Koo BK; Nam CW; Park HB; Shin S; Cole J; Gimelli A; Khan MA; Lu B; Gao Y; Nabi F; Nakazato R; Schoepf UJ; Driessen RS; Bom MJ; Thompson RC; Jang JJ; Ridner M; Rowan C; Avelar E; Généreux P; Knaapen P; de Waard GA; Pontone G; Andreini D; Al-Mallah MH; Jennings R; Crabtree TR; Villines TC; Min JK; Choi AD
Open Heart; 2021 Nov; 8(2):. PubMed ID: 34785589
[TBL] [Abstract][Full Text] [Related]
16. Detecting lesion-specific ischemia in patients with coronary artery disease with computed tomography fractional flow reserve measured at different sites.
Cai Z; Yu T; Yang Z; Hu H; Lin Y; Zhang H; Chen M; Shi G; Shen J
BMC Med Imaging; 2023 Jun; 23(1):76. PubMed ID: 37277697
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow.
Lin A; van Diemen PA; Motwani M; McElhinney P; Otaki Y; Han D; Kwan A; Tzolos E; Klein E; Kuronuma K; Grodecki K; Shou B; Rios R; Manral N; Cadet S; Danad I; Driessen RS; Berman DS; Nørgaard BL; Slomka PJ; Knaapen P; Dey D
Circ Cardiovasc Imaging; 2022 Oct; 15(10):e014369. PubMed ID: 36252116
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic performance of transluminal attenuation gradient and fractional flow reserve by coronary computed tomographic angiography (FFR(CT)) compared to invasive FFR: a sub-group analysis from the DISCOVER-FLOW and DeFACTO studies.
Nakanishi R; Matsumoto S; Alani A; Li D; Kitslaar PH; Broersen A; Koo BK; Min JK; Budoff MJ
Int J Cardiovasc Imaging; 2015 Aug; 31(6):1251-9. PubMed ID: 25904402
[TBL] [Abstract][Full Text] [Related]
19. Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis.
van Hamersvelt RW; Zreik M; Voskuil M; Viergever MA; Išgum I; Leiner T
Eur Radiol; 2019 May; 29(5):2350-2359. PubMed ID: 30421020
[TBL] [Abstract][Full Text] [Related]
20. The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography.
Kwan AC; Gransar H; Tzolos E; Chen B; Otaki Y; Klein E; Pope AJ; Han D; Howarth A; Jain N; Dey D; Miller RJ; Cheng V; Azarbal B; Berman DS
J Cardiovasc Comput Tomogr; 2021; 15(5):412-418. PubMed ID: 33775584
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
