Sequential Helical–Axial–Helical Triple-Rule-Out CT Angiography: Technical Feasibility and Territory-Specific Image Quality in the Emergency Department
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. CT System and Strategic Sequential TRO-CTA Protocol
2.3. Scan Parameters
2.4. Contrast Injection and Timing Strategy
2.5. Image Reconstruction and Post-Processing
2.6. Objective Image Quality Analysis
2.7. Subjective Image Quality Analysis
2.8. Radiation Dose Estimation
2.9. Statistical Analysis
3. Results
3.1. Baseline Characteristics and Clinical Findings
3.2. Objective Image Quality
3.3. Subjective Image Quality and Diagnostic Interpretability
3.4. Radiation Doses
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ACS | Acute coronary syndrome |
| APE | Acute pulmonary embolism |
| AAS | Acute aortic syndrome |
| CTA | Computed tomography angiography |
| TRO-CTA | Triple-rule-out computed tomography angiography |
| ED | Emergency department |
| ECG | Electrocardiography |
| HR | Heart rate |
| HU | Hounsfield unit |
| ROI | Region of interest |
| SNR | Signal-to-noise ratio |
| CNR | Contrast-to-noise ratio |
| CTDIvol | Volume computed tomography dose index |
| DLP | Dose-length product |
| IQR | Interquartile range |
| NYHA | New York Heart Association |
| COPD | Chronic obstructive pulmonary disease |
| RCA | Right coronary artery |
| LM | Left main coronary artery |
| LAD | Left anterior descending coronary artery |
| LCx | Left circumflex coronary artery |
| PT | Pulmonary trunk |
| RPA | Right pulmonary artery |
| LPA | Left pulmonary artery |
| AO | Aortic root |
| AA | Ascending aorta |
| DA | Descending thoracic aorta |
| MPR | Multiplanar reformation |
References
- Niska, R.; Bhuiya, F.; Xu, J. National hospital ambulatory medical care survey: 2007 emergency department summary. Natl. Health Stat. Rep. 2010, 26, 1–31. [Google Scholar]
- Gulati, M.; Levy, P.D.; Mukherjee, D.; Amsterdam, E.; Bhatt, D.L.; Birtcher, K.K.; Blankstein, R.; Boyd, J.; Bullock-Palmer, R.P.; Conejo, T.; et al. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guideline for the evaluation and diagnosis of chest pain. Circulation 2021, 144, e368–e454. [Google Scholar]
- Raff, G.L.; Hoffmann, U.; Udelson, J.E. Trials of imaging use in the emergency department for acute chest pain. JACC Cardiovasc. Imaging 2017, 10, 338–349. [Google Scholar] [CrossRef]
- Writing Committee. 2022 ACC expert consensus decision pathway on the evaluation and disposition of acute chest pain in the emergency department. J. Am. Coll. Cardiol. 2022, 80, 1925–1960. [Google Scholar] [CrossRef] [PubMed]
- Konstantinides, S.V.; Meyer, G.; Becattini, C.; Bueno, H.; Geersing, G.J.; Harjola, V.P.; Huisman, M.V.; Humbert, M.; Jennings, C.S.; Jiménez, D.; et al. 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS). Eur. Heart J. 2020, 41, 543–603. [Google Scholar] [CrossRef] [PubMed]
- Isselbacher, E.M.; Preventza, O.; Hamilton Black, J.; Augoustides, J.G.; Beck, A.W.; Bolen, M.A.; Braverman, A.C.; Bray, B.E.; Brown-Zimmerman, M.M.; Chen, E.P.; et al. 2022 ACC/AHA guideline for the diagnosis and management of aortic disease. Circulation 2022, 146, e334–e482. [Google Scholar] [CrossRef] [PubMed]
- Perone, F.; Guglielmo, M.; Coceani, M.; La Mura, L.; Dentamaro, I.; Sabatino, J.; Gimelli, A. The role of multimodality imaging approach in acute aortic syndromes: Diagnosis, complications, and clinical management. Diagnostics 2023, 13, 650. [Google Scholar] [CrossRef]
- Stillman, A.E.; Oudkerk, M.; Ackerman, M.; Becker, C.R.; Buszman, P.E.; de Feyter, P.J.; Hoffmann, U.; Keadey, M.T.; Marano, R.; Lipton, M.J.; et al. Use of multidetector computed tomography for the assessment of acute chest pain. Eur. Radiol. 2007, 17, 2196–2207. [Google Scholar] [CrossRef]
- Halpern, E.J. Triple-rule-out CT angiography for evaluation of acute chest pain and possible acute coronary syndrome. Radiology 2009, 252, 332–345. [Google Scholar] [CrossRef]
- Takakuwa, K.M.; Halpern, E.J.; Gingold, E.L.; Levin, D.C.; Shofer, F.S. Radiation dose in a triple rule-out coronary CT angiography protocol of emergency department patients using 64-MDCT. AJR Am. J. Roentgenol. 2009, 192, 866–872. [Google Scholar] [CrossRef]
- Frauenfelder, T.; Appenzeller, P.; Karlo, C.; Scheffel, H.; Desbiolles, L.; Stolzmann, P.; Marincek, B.; Alkadhi, H.; Schertler, T. Triple rule-out CT in the emergency department: Protocols and spectrum of imaging findings. Eur. Radiol. 2009, 19, 788–799. [Google Scholar] [CrossRef] [PubMed]
- Gallagher, M.J.; Ross, M.A.; Raff, G.L.; Goldstein, J.A.; O’Neill, W.W.; O’Neil, B. Use of multislice computed tomography for the evaluation of emergency department patients with chest pain. Catheter. Cardiovasc. Interv. 2008, 71, 212–219. [Google Scholar]
- Lee, H.Y.; Yoo, S.M.; White, C.S. Coronary CT angiography in emergency department patients with acute chest pain: Triple rule-out protocol versus dedicated coronary CT angiography. Int. J. Cardiovasc. Imaging 2009, 25, 319–326. [Google Scholar] [CrossRef] [PubMed]
- Burris, A.C.; Boura, J.A.; Raff, G.L.; Chinnaiyan, K.M. Triple rule-out versus coronary CT angiography in patients with acute chest pain: Results from the ACIC Consortium. JACC Cardiovasc. Imaging 2015, 8, 817–825. [Google Scholar] [CrossRef]
- Achenbach, S.; Marwan, M.; Schepis, T.; Pflederer, T.; Bruder, H.; Allmendinger, T.; Petersilka, M.; Lell, M.; Kuettner, A.; Ropers, D.; et al. High-pitch spiral acquisition for coronary CT angiography. J. Cardiovasc. Comput. Tomogr. 2009, 3, 117–121. [Google Scholar] [CrossRef]
- Fernández del Valle, A.; Delgado Sánchez-Gracián, C.; Oca Pernas, R.; Astorquiza, A.G.; Fiore, A.B.; López, C.T.; de la Fuente, G.T. High pitch CT in triple rule-out studies: Radiation dose and image quality compared to multidetector CT. Radiologia 2015, 57, 412–418. [Google Scholar] [CrossRef]
- Chen, Y.; Wang, Q.; Li, J.; Jia, Y.; Yang, Q.; He, T. Triple-rule-out CT angiography using two axial scans with 16 cm wide-detector for radiation dose reduction. Eur. Radiol. 2018, 28, 4654–4661. [Google Scholar] [CrossRef]
- Zhang, Q.; Wang, K.; Ren, H. Wide-detector CT-based optimized triple rule-out CT angiography for emergency chest pain: Reducing contrast and radiation without compromising diagnostic quality. Emerg. Radiol. 2025, 32, 551–558. [Google Scholar] [CrossRef]
- Mahnken, A.H.; Rauscher, A.; Klotz, E.; Mühlenbruch, G.; Das, M.; Günther, R.W.; Wildberger, J.E. Prediction of contrast enhancement from test bolus data in cardiac MSCT. Eur. Radiol. 2007, 17, 1310–1319. [Google Scholar] [CrossRef]
- Koetzier, L.R.; Mastrodicasa, D.; Szczykutowicz, T.P.; van der Werf, N.R.; Wang, A.S.; Sandfort, V.; van der Molen, A.J.; Fleischmann, D.; Willemink, M.J. Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects. Radiology 2023, 306, e221257. [Google Scholar] [CrossRef]
- Otgonbaatar, C.; Kim, H.; Jeon, P.H.; Jeon, S.-H.; Cha, S.-J.; Ryu, J.-K.; Jung, W.B.; Shim, H.; Ko, S.M. Super-resolution deep learning image reconstruction: Image quality and myocardial homogeneity in coronary computed tomography angiography. J. Cardiovasc. Imaging 2024, 32, 30. [Google Scholar] [CrossRef] [PubMed]
- Manheimer, E.D.; Peters, M.R.; Wolff, S.D.; Qureshi, M.A.; Atluri, P.; Pearson, G.D.; Einstein, A.J. Comparison of radiation dose and image quality of triple-rule-out computed tomography angiography between conventional helical scanning and a strategy incorporating sequential scanning. Am. J. Cardiol. 2011, 107, 1093–1098. [Google Scholar] [CrossRef] [PubMed]
- Abbara, S.; Blanke, P.; Maroules, C.D.; Cheezum, M.; Choi, A.D.; Han, B.K.; Marwan, M.; Naoum, C.; Norgaard, B.L.; Rubinshtein, R.; et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography. J. Cardiovasc. Comput. Tomogr. 2016, 10, 435–449. [Google Scholar] [CrossRef]
- Hong, J.H.; Park, E.A.; Lee, W.; Ahn, C.; Kim, J.H. Incremental image noise reduction in coronary CT angiography using a deep learning-based technique with iterative reconstruction. Korean J. Radiol. 2020, 21, 1165–1177. [Google Scholar] [CrossRef] [PubMed]
- Feng, J.; Zeng, J.; Xu, Q.; Lu, J.; Pei, Y.; Zhang, X.; Gao, M. Optimizing acute chest pain diagnosis: Efficacy of 64-channel multi-slice CT with Snap-Shot Freeze technique in Triple-Rule-out CT angiography. Heliyon 2024, 10, e40642. [Google Scholar] [CrossRef]
- Murphy, A.; White, H. A comparison of bolus track and test bolus computed tomography pulmonary angiography and the implications on pulmonary and aortic vessel enhancement and scan rate. J. Med. Radiat. Sci. 2024, 71, 44–50. [Google Scholar] [CrossRef]
- Si-Mohamed, S.; Greffier, J.; Bobbia, X.; Larbi, A.; Delicque, J.; Khasanova, E.; Beregi, J.-P.; Macri, F. Diagnostic performance of a low-dose triple rule-out CT angiography using SAFIRE in the emergency department. Diagn. Interv. Imaging 2017, 98, 881–891. [Google Scholar] [CrossRef]
- Goetti, R.; Baumüller, S.; Feuchtner, G.; Stolzmann, P.; Karlo, C.; Alkadhi, H.; Leschka, S. High-pitch dual-source CT angiography of the thoracic and abdominal aorta: Is simultaneous coronary artery assessment possible? AJR Am. J. Roentgenol. 2010, 194, 938–944. [Google Scholar] [CrossRef]
- Krissak, R.; Henzler, T.; Prechel, A.; Reichert, M.; Gruettner, J.; Sueselbeck, T.; Schoenberg, S.O.; Fink, C. Triple-rule-out dual-source CT angiography of patients with acute chest pain: Dose reduction potential of 100 kV scanning. Eur. J. Radiol. 2012, 81, 3691–3696. [Google Scholar] [CrossRef]








| Parameters | Pulmonary Phase | Cardiac Phase | Thoracic Aorta Phase |
|---|---|---|---|
| Scan method | Helical | Axial | Helical |
| Reconstruction technique | HIR | HIR | HIR |
| Tube voltage (kVp) | 80 | 100 | 80 |
| Tube current (mA) | Auto (Ref. 66 mAs) | 180 | Auto (Ref. 66 mAs) |
| Collimation (mm) | 0.5 × 320 | 0.5 × 320 | 0.5 × 320 |
| Rotation time (s) | 0.25 | 0.25 | 0.25 |
| Slice thickness (mm) | 0.5 | 0.5 | 0.5 |
| Pitch | 0.99 | - | 0.99 |
| R-R interval | - | 20–80 | - |
| Criteria | Patients Enrolled (n = 71) |
|---|---|
| Age (years) | 66.6 ± 17.0 |
| Female (n,%) | 33 (46.5%) |
| Body mass index (kg/m2) | 24.0 ± 3.7 |
| HR (bpm) | 79.2 ± 16.3 |
| Main clinical characteristics | |
| COPD | 3 (4%) |
| Hypertension | 35 (49%) |
| Diabetes Mellitus | 20 (28%) |
| NYHA (class ≥ 2) | 20 (28%) |
| Disease distribution | |
| APE | 8 (11.3%) |
| AAS | 4 (5.6%) |
| ACS | 10 (14.1%) |
| Pneumonia | 7 (9.9%) |
| Pleuritis | 1 (1.4%) |
| Pericarditis | 2 (2.8%) |
| Myocarditis | 3 (4.2%) |
| Stress-induced cardiomyopathy | 1 (1.4%) |
| Significant coronary stenosis without ACS | 7 (9.9%) |
| Non-specific findings | 28 (39.4%) |
| Volume of contrast media (mL) | 75.6 ± 15.8 |
| Dose length product (mGy·cm) | |
| Pulmonary | 65.24 ± 13.59 |
| Cardiac | 337.2 ± 118.0 |
| Aortic | 59.07 ± 16.53 |
| Total | 461.52 ± 122.52 |
| Criteria | Patient (n = 71) | |||
|---|---|---|---|---|
| Attenuation (HU) Mean ± SD (95% CI) | SNR Mean ± SD (95% CI) | CNR Mean ± SD (95% CI) | Subjective Image Score | |
| PT | 569.5 ± 245.8 (95% CI, 511.3–627.7) | 19.16 ± 8.62 (95% CI, 17.12–21.20) | 26.74 ± 13.77 (95% CI, 23.48–29.99) | 5 (IQR, 4–5) |
| RPA | 532.8 ± 236.1 (95% CI, 476.9–588.7) | 15.60 ± 7.50 (95% CI, 13.82–17.37) | 25.23 ± 13.23 (95% CI, 22.09–28.36) | |
| LPA | 537.8 ± 239.5 (95% CI, 481.1–594.5) | 18.13 ± 8.53 (95% CI, 16.11–20.15) | 25.57 ± 13.47 (95% CI, 22.38–28.76) | |
| RCA | 447.3 ± 125.6 (95% CI, 417.6–477.1) | 17.22 ± 9.67 (95% CI, 14.93–19.51) | 20.09 ± 7.62 (95% CI, 18.28–21.89) | 4.5 (IQR, 4–5) |
| LM | 446.0 ± 123.6 (95% CI, 416.8–475.3) | 17.03 ± 9.37 (95% CI, 14.81–19.25) | 20.11 ± 7.94 (95% CI, 18.23–21.99) | |
| LAD | 429.3 ± 113.7 (95% CI, 402.4–456.2) | 15.13 ± 7.20 (95% CI, 13.42–16.83) | 19.53 ± 7.83 (95% CI, 17.67–21.38) | |
| LCx | 432.6 ± 114.8 (95% CI, 405.4–459.8) | 14.81 ± 5.23 (95% CI, 13.57–16.04) | 19.63 ± 7.92 (95% CI, 17.76–21.50) | |
| Aortic root | 593.7 ± 191.2 (95% CI, 548.4–639.0) | 20.11 ± 8.28 (95% CI, 18.15–22.07) | 29.17 ± 13.22 (95% CI, 26.04–32.30) | 4 (IQR, 4–5) |
| Ascending aorta | 612.2 ± 193.8 (95% CI, 566.3–658.0) | 23.85 ± 10.53 (95% CI, 21.36–26.35) | 29.96 ± 13.42 (95% CI, 26.78–33.14) | 4 (IQR, 4–5) |
| Descending aorta | 607.2 ± 191.0 (95% CI, 562.0–652.4) | 23.22 ± 10.18 (95% CI, 20.81–25.63) | 29.77 ± 13.27 (95% CI, 26.63–32.91) | |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Kim, Y.-J.; An, G.-Y.; Cha, S.-J.; Ko, S.M. Sequential Helical–Axial–Helical Triple-Rule-Out CT Angiography: Technical Feasibility and Territory-Specific Image Quality in the Emergency Department. J. Clin. Med. 2026, 15, 4640. https://doi.org/10.3390/jcm15124640
Kim Y-J, An G-Y, Cha S-J, Ko SM. Sequential Helical–Axial–Helical Triple-Rule-Out CT Angiography: Technical Feasibility and Territory-Specific Image Quality in the Emergency Department. Journal of Clinical Medicine. 2026; 15(12):4640. https://doi.org/10.3390/jcm15124640
Chicago/Turabian StyleKim, Yeon-Jun, Gi-Yong An, Sung-Jin Cha, and Sung Min Ko. 2026. "Sequential Helical–Axial–Helical Triple-Rule-Out CT Angiography: Technical Feasibility and Territory-Specific Image Quality in the Emergency Department" Journal of Clinical Medicine 15, no. 12: 4640. https://doi.org/10.3390/jcm15124640
APA StyleKim, Y.-J., An, G.-Y., Cha, S.-J., & Ko, S. M. (2026). Sequential Helical–Axial–Helical Triple-Rule-Out CT Angiography: Technical Feasibility and Territory-Specific Image Quality in the Emergency Department. Journal of Clinical Medicine, 15(12), 4640. https://doi.org/10.3390/jcm15124640

