Ebrahimian S, Digumarthy SR, Homayounieh F, Bizzo BC, Dreyer KJ, Kalra MK (2022) Predictive values of AI-based triage model in suboptimal CT pulmonary angiography. Clin Imaging 86:25–30
Guan X, Lan Q, Liang Y, Ke H, Chen S, Long L (2022) Comparative study of diagnostic efficacy of single phase-computed tomography pulmonary angiography and dual phase-computed tomography pulmonary angiography in the diagnosis of pulmonary embolism. Front Cardiovasc Med 9:846805
Article PubMed PubMed Central Google Scholar
Petritsch B, Pannenbecker P, Weng AM et al (2021) Split-filter dual-energy CT pulmonary angiography for the diagnosis of acute pulmonary embolism: a study on image quality and radiation dose. Quant Imaging Med Surg 11:1817–1827
Article PubMed PubMed Central Google Scholar
Abdellatif W, Esslinger E, Kobes K et al (2020) Acquisition time, radiation dose, subjective and objective image quality of dual-source CT scanners in acute pulmonary embolism: a comparative study. Eur Radiol 30:2712–2721
Pannenbecker P, Heidenreich JF, Grunz JP et al (2024) Image quality and radiation dose of CTPA with iodine maps: a prospective randomized study of high-pitch mode photon-counting detector CT versus energy-integrating detector CT. AJR Am J Roentgenol 222:e2330154
Bellizzi A, Bezzina P, Zarb F (2023) Low dose CTPA using a low kV technique combined with high IR: a clinical study. Radiography 29:738–744
Article CAS PubMed Google Scholar
Konstantinides SV, Meyer G, Becattini C et al (2020) 2019 ESC guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS). Eur Heart J 41:543–603
Tao SM, Li X, Schoepf UJ et al (2018) Comparison of the effect of radiation exposure from dual-energy CT versus single-energy CT on double-strand breaks at CT pulmonary angiography. Eur J Radiol 101:92–96
Low CL, Kow RY, Abd AA et al (2023) Diagnostic yield of CT pulmonary angiogram in the diagnosis of pulmonary embolism and its predictive factors. Cureus 15:e40484
PubMed PubMed Central Google Scholar
Sauter AP, Shapira N, Kopp FK et al (2020) CTPA with a conventional CT at 100 kVp vs. a spectral-detector CT at 120 kVp: comparison of radiation exposure, diagnostic performance and image quality. Eur J Radiol Open 7:100234
Article PubMed PubMed Central Google Scholar
Tester J, Rees M, Pascoe D et al (2023) Diagnostic imaging for suspected pulmonary embolism during pregnancy and postpartum: a comparative radiation dose study. J Med Imaging Radiat Oncol 67:223–231
Chandiramani R, Cao D, Nicolas J, Mehran R (2020) Contrast-induced acute kidney injury. Cardiovasc Interv Ther 35:209–217
Owens TC, Anton N, Attia MF (2023) CT and X-ray contrast agents: current clinical challenges and the future of contrast. Acta Biomater 171:19–36
Article CAS PubMed Google Scholar
Higaki T, Nakamura Y, Zhou J et al (2020) Deep learning reconstruction at CT: phantom study of the image characteristics. Acad Radiol 27:82–87
Fukutomi A, Sofue K, Ueshima E et al (2023) Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study. Eur Radiol 33:1388–1399
Article CAS PubMed Google Scholar
Yao Y, Guo B, Li J, Yang Q, Li X, Deng L (2022) The influence of a deep learning image reconstruction algorithm on the image quality and auto-analysis of pulmonary nodules at ultra-low dose chest CT: a phantom study. Quant Imaging Med Surg 12:2777–2791
Article PubMed PubMed Central Google Scholar
Li W, Diao K, Wen Y et al (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
Article CAS PubMed Google Scholar
Klemenz AC, Albrecht L, Manzke M et al (2024) Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction. Sci Rep 14:2494
Article CAS PubMed PubMed Central Google Scholar
Callejas MF, Lin HM, Howard T et al (2023) Augmentation of the RSNA pulmonary embolism CT dataset with bounding box annotations and anatomic localization of pulmonary emboli. Radiol Artif Intell 5:e230001
Article PubMed PubMed Central Google Scholar
Mattsson S, Johansson L, Leide SS et al (2015) Radiation dose to patients from radiopharmaceuticals: a compendium of current information related to frequently used substances. Ann ICRP 44:7–321
Article CAS PubMed Google Scholar
Sun J, Li H, Gao J et al (2021) Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in “double low” chest CTA in children: a feasibility study. Radiol Med 126:1181–1188
Choi H, Chang W, Kim JH et al (2022) Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study. Eur Radiol 32:1247–1255
Szczykutowicz TP, Nett B, Cherkezyan L et al (2021) Protocol optimization considerations for implementing deep learning CT reconstruction. AJR Am J Roentgenol 216:1668–1677
Kim C, Lee CW, Hong GS, Kim G, Lee KY, Kim SS (2017) Assessment of pulmonary arterial enhancement on CT pulmonary angiography using a leg vein for contrast media administration. Medicine (Baltimore) 96:e9099
Hahn LD, Hall K, Alebdi T, Kligerman SJ, Hsiao A (2022) Automated deep learning analysis for quality improvement of CT pulmonary angiography. Radiol Artif Intell 4:e210162
Article PubMed PubMed Central Google Scholar
Chen PA, Chen CW, Chou CC et al (2020) Impact of 80 kVp with iterative reconstruction algorithm and low-dose contrast medium on the image quality of craniocervical CT angiography. Clin Imaging 68:124–130
Ren Z, Zhang X, Hu Z et al (2020) Reducing radiation dose and improving image quality in CT portal venography using 80 kV and adaptive statistical iterative reconstruction-V in slender patients. Acad Radiol 27:233–243
Caruso D, De Santis D, Tremamunno G et al (2024) Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography. Eur Radiol 35:2213–2221
Article PubMed PubMed Central Google Scholar
Masuda T, Funama Y, Nakaura T et al (2021) The combined application of the contrast-to-noise index and 80 kVp for cardiac CTA scanning before atrial fibrillation ablation reduces radiation dose exposure. Radiography 27:840–846
Article CAS PubMed Google Scholar
Kanan A, Pereira B, Hordonneau C et al (2024) Deep learning CT reconstruction improves liver metastases detection. Insights Imaging 15:167
Article PubMed PubMed Central Google Scholar
Suzuki S, Samejima W, Harashima S, Fukui R (2022) In vitro study of the precision and accuracy of measurement of the vascular inner diameter on computed tomography angiography using deep learning image reconstruction: comparison with filtered back projection and iterative reconstruction. J Comput Assist Tomogr 46:17–22
Yalon M, Hoodeshenas S, Chan A et al (2024) Improved pulmonary artery evaluation using high-pitch photon-counting CT compared to high-pitch conventional or routine-pitch conventional dual-energy CT. J Comput Assist Tomogr 48:897–905
Comments (0)