Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography

Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, Prescott E, Storey RF, Deaton C, Cuisset T, Agewall S, Dickstein K, Edvardsen T, Escaned J, Gersh BJ, Svitil P, Gilard M, Hasdai D, Hatala R, Mahfoud F, Masip J, Muneretto C, Valgimigli M, Achenbach S, Bax JJ, Group ESCSD (2020) 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41:407–477. https://doi.org/10.1093/eurheartj/ehz425

Article  PubMed  Google Scholar 

Investigators S-H, Newby DE, Adamson PD, Berry C, Boon NA, Dweck MR, Flather M, Forbes J, Hunter A, Lewis S, MacLean S, Mills NL, Norrie J, Roditi G, Shah ASV, Timmis AD, van Beek EJR, Williams MC (2018) Coronary CT angiography and 5-year risk of myocardial infarction. N Engl J Med 379:924–933. https://doi.org/10.1056/NEJMoa1805971

Article  Google Scholar 

Zhang Q, Mi H, Shi X, Li W, Guo S, Wang P, Suo H, Wang Z, Jin S, Yan F, Niu Y, Xian J (2021) Higher iodine concentration enables radiation dose reduction in coronary CT angiography. Acad Radiol 28:1072–1080. https://doi.org/10.1016/j.acra.2020.05.012

Article  PubMed  Google Scholar 

Aschoff AJ, Catalano C, Kirchin MA, Krix M, Albrecht T (2017) Low radiation dose in computed tomography: the role of iodine. Br J Radiol 90:20170079. https://doi.org/10.1259/bjr.20170079

Article  PubMed Central  PubMed  Google Scholar 

Barrios Lopez A, Garcia Martinez F, Rodriguez JI, Montero-San-Martin B, Gomez Rioja R, Diez J, Martin-Hervas C (2021) Incidence of contrast-induced nephropathy after a computed tomography scan. Radiologia (Engl Ed) 63:307–313. https://doi.org/10.1016/j.rxeng.2020.02.005

Article  CAS  PubMed  Google Scholar 

Eng J, Wilson RF, Subramaniam RM, Zhang A, Suarez-Cuervo C, Turban S, Choi MJ, Sherrod C, Hutfless S, Iyoha EE, Bass EB (2016) Comparative effect of contrast media type on the incidence of contrast-induced nephropathy: a systematic review and meta-analysis. Ann Intern Med 164:417–424. https://doi.org/10.7326/M15-1402

Article  PubMed  Google Scholar 

Laville M, Juillard L (2010) Contrast-induced acute kidney injury: how should at-risk patients be identified and managed? J Nephrol 23:387–398

PubMed  Google Scholar 

Liu J, Gao J, Wu R, Zhang Y, Hu L, Hou P (2013) Optimizing contrast medium injection protocol individually with body weight for high-pitch prospective ECG-triggering coronary CT angiography. Int J Cardiovasc Imaging 29:1115–1120. https://doi.org/10.1007/s10554-012-0170-x

Article  PubMed  Google Scholar 

Sun J, Li H, Li J, Cao Y, Zhou Z, Li M, Peng Y (2021) Performance evaluation of using shorter contrast injection and 70 kVp with deep learning image reconstruction for reduced contrast medium dose and radiation dose in coronary CT angiography for children: a pilot study. Quant Imaging Med Surg 11:4162–4171. https://doi.org/10.21037/qims-20-1159

Article  PubMed Central  PubMed  Google Scholar 

Li W, Diao K, Wen Y, Shuai T, You Y, Zhao J, Liao K, Lu C, Yu J, He Y, Li Z (2022) High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses. Eur Radiol 32:2912–2920. https://doi.org/10.1007/s00330-021-08424-5

Article  CAS  PubMed  Google Scholar 

Shirasaka T, Nagao M, Yamasaki Y, Kojima T, Kondo M, Hamasaki H, Kamitani T, Kato T, Asayama Y (2020) Low radiation dose and high image quality of 320-row coronary computed tomography angiography using a small dose of contrast medium and refined scan timing prediction. J Comput Assist Tomogr 44:7–12. https://doi.org/10.1097/RCT.0000000000000951

Article  PubMed  Google Scholar 

Jia CF, Zhong J, Meng XY, Sun XX, Yang ZQ, Zou YJ, Wang XY, Pan S, Yin D, Wang ZQ (2019) Image quality and diagnostic value of ultra low-voltage, ultra low-contrast coronary CT angiography. Eur Radiol 29:3678–3685. https://doi.org/10.1007/s00330-019-06111-0

Article  PubMed  Google Scholar 

Albrecht MH, Nance JW, Schoepf UJ, Jacobs BE, Bayer RR 2nd, Litwin SE, Reynolds MA, Otani K, Mangold S, Varga-Szemes A, De Santis D, Eid M, Apfaltrer G, Tesche C, Goeller M, Vogl TJ, De Cecco CN (2018) Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol. Eur Radiol 28:2134–2142. https://doi.org/10.1007/s00330-017-5150-z

Article  PubMed  Google Scholar 

Wang M, Fan J, Shi X, Qin L, Yan F, Yang W (2022) A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography. Eur J Radiol 146:110070. https://doi.org/10.1016/j.ejrad.2021.110070

Article  CAS  PubMed  Google Scholar 

Willemink MJ, Noel PB (2019) The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence. Eur Radiol 29:2185–2195. https://doi.org/10.1007/s00330-018-5810-7

Article  PubMed  Google Scholar 

Wang Y, Zhan H, Hou J, Ma X, Wu W, Liu J, Gao J, Guo Y, Zhang Y (2021) Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on coronary artery calcium quantification. Ann Transl Med 9:1726. https://doi.org/10.21037/atm-21-5548

Article  CAS  PubMed Central  PubMed  Google Scholar 

Wang H, Wang R, Li Y, Zhou Z, Gao Y, Bo K, Yu M, Sun Z, Xu L (2022) Assessment of image quality of coronary computed tomography angiography in obese patients by comparing deep learning image reconstruction with adaptive statistical iterative reconstruction veo. J Comput Assist Tomogr 46:34–40. https://doi.org/10.1097/RCT.0000000000001252

Article  PubMed  Google Scholar 

Benz DC, Benetos G, Rampidis G, von Felten E, Bakula A, Sustar A, Kudura K, Messerli M, Fuchs TA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR (2020) Validation of deep-learning image reconstruction for coronary computed tomography angiography: impact on noise, image quality and diagnostic accuracy. J Cardiovasc Comput Tomogr 14:444–451. https://doi.org/10.1016/j.jcct.2020.01.002

Article  PubMed  Google Scholar 

Cao L, Liu X, Li J, Qu T, Chen L, Cheng Y, Hu J, Sun J, Guo J (2021) A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions. Br J Radiol 94:20201086. https://doi.org/10.1259/bjr.20201086

Article  PubMed  Google Scholar 

Habib Geryes B, Calmon R, Donciu V, Khraiche D, Warin-Fresse K, Bonnet D, Boddaert N, Raimondi F (2018) Low-dose paediatric cardiac and thoracic computed tomography with prospective triggering: is it possible at any heart rate? Phys Med 49:99–104. https://doi.org/10.1016/j.ejmp.2018.05.015

Article  PubMed  Google Scholar 

Hong SH, Goo HW, Maeda E, Choo KS, Tsai IC, Asian Society of Cardiovascular Imaging Congenital Heart Disease Study G (2019) User-friendly vendor-specific guideline for pediatric cardiothoracic computed tomography provided by the asian society of cardiovascular imaging congenital heart disease study group: part 1. imaging techniques. Korean J Radiol 20:190–204. https://doi.org/10.3348/kjr.2018.0571

Article  PubMed  Google Scholar 

Chen Y, Wei D, Li D, Liu Z, Hu Z, Li M, Jia Y, Yu Y, Han D, Ren R, Yu N, He T (2018) The value of 16-cm wide-detector computed tomography in coronary computed tomography angiography for patients with high heart rate variability. J Comput Assist Tomogr 42:906–911. https://doi.org/10.1097/RCT.0000000000000787

Article  PubMed  Google Scholar 

Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GBJ, Nieman K, Pontone G, Raff GL (2014) SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the society of cardiovascular computed tomography guidelines committee. J Cardiovasc Comput Tomogr 8:342–358. https://doi.org/10.1016/j.jcct.2014.07.003

Article  PubMed  Google Scholar 

Yuan D, Wang Y, Lin S, Gutjahr R, Lyu P, Zhang Y, Gao J, Liu J (2023) Patient-specific post-trigger delay in coronary CT angiography: a prospective study comparing with fixed delay. Eur J Radiol 163:110813. https://doi.org/10.1016/j.ejrad.2023.110813

Article  PubMed  Google Scholar 

Benz DC, Grani C, Mikulicic F, Vontobel J, Fuchs TA, Possner M, Clerc OF, Stehli J, Gaemperli O, Pazhenkottil AP, Buechel RR, Kaufmann PA (2016) Adaptive statistical iterative reconstruction-V: impact on image quality in ultralow-dose coronary computed tomography angiography. J Comput Assist Tomogr 40:958–963. https://doi.org/10.1097/RCT.0000000000000460

Article  PubMed  Google Scholar 

Apfaltrer G, Szolar DH, Wurzinger E, Takx RA, Nance JW, Dutschke A, Tschauner S, Loewe C, Ringl H, Sorantin E, Apfaltrer P (2017) Impact on image quality and radiation dose of third-generation dual-source computed tomography of the coronary arteries. Am J Cardiol 119:1156–1161. https://doi.org/10.1016/j.amjcard.2016.12.028

Article  PubMed  Google Scholar 

Trattner S, Halliburton S, Thompson CM, Xu Y, Chelliah A, Jambawalikar SR, Peng B, Peters MR, Jacobs JE, Ghesani M, Jang JJ, Al-Khalidi H, Einstein AJ (2018) Cardiac-specific conversion factors to estimate radiation effective dose from dose-length product in computed tomography. JACC Cardiovasc Imaging 11:64–74. https://doi.org/10.1016/j.jcmg.2017.06.006

Article  PubMed  Google Scholar 

Yuan D, Li L, Zhang Y, Qi K, Zhang M, Zhang W, Lyu P, Zhang Y, Gao J, Liu J (2023) Image quality improvement in head and neck CT angiography: individualized post-trigger delay versus fixed delay. Eur J Radiol 168:111142. https://doi.org/10.1016/j.ejrad.2023.111142

Article  PubMed  Google Scholar 

Andreini D, Pontone G, Mushtaq S, Conte E, Perchinunno M, Guglielmo M, Volpato V, Annoni A, Baggiano A, Formenti A, Mancini ME, Beltrama V, Ditali V, Campari A, Fiorentini C, Bartorelli AL, Pepi M (2017) Atrial fibrillation: diagnostic accuracy of coronary CT angiography performed with a whole-heart 230-microm spatial resolution CT scanner. Radiology 284:676–684. https://doi.org/10.1148/radiol.2017161779

Article  PubMed  Google Scholar 

Cherukuri L, Birudaraju D, Kinninger A, Chaganti BT, Pidikiti S, Pozon RG, Pozon ACG, Lakshmanan S, Dahal S, Hamal S, Flores F, Christopher D, Andreini D, Pontone G, Conte E, Nakanishi R, O’Rourke R, Hamilton-Craig C, Nasir K, Roy SK, Mao SS, Budoff MJ (2021) Use of advanced CT technology to evaluate left atrial indices in patients with a high heart rate or with heart rate variability: the converge registry. J Nucl Med Technol 49:65–69. https://doi.org/10.2967/jnmt.120.253781

Article  PubMed  Google Scholar 

Liang J, Wang H, Xu L, Yang L, Dong L, Fan Z, Wang R, Sun Z (2017) Diagnostic performance of 256-row detector coronary CT angiography in patients with high heart rates within a single cardiac cycle: a preliminary study. Clin Radiol 72:694 e697–694 e614 https://doi.org/10.1016/j.crad.2017.03.004

Miller RJH, Eisenberg E, Friedman J, Cheng V, Hayes S, Tamarappoo B, Thomson L, Berman DS (2019) Impact of heart rate on coronary computed tomographic angiography interpretability with a third-generation dual-source scanner. Int J Cardiol 295:42–47. https://doi.org/10.1016/j.ijcard.2019.07.098

Article  PubMed  Google Scholar 

Park CJ, Kim KW, Lee HJ, Kim MJ, Kim J (2018) Contrast-enhanced CT with knowledge-based

留言 (0)

沒有登入
gif