Preview

Diagnostic radiology and radiotherapy

Advanced search

The results of approbation of a comprehensive expert assessment of the quality of CT images of the chest obtained on low-dose scanning protocols using iterative reconstruction methods

https://doi.org/10.22328/2079-5343-2021-12-3-54-71

Abstract

Introduction. Сomputed tomography (CT) is associated with high individual patient doses. Hence, the process of optimization in CT examinations by developing low-dose scan protocols is important.
Purpose of the study. Clinical approbation of low-dose protocols developed by the authors earlier, selection of the most promising protocol, assessment of the applicability of the developed algorithm for expert assessment of the quality of CT images.
Materials and methods. The study was based on the data from 96 patients who underwent cardiac surgery with suspected infection in the lungs or sternal wound infection. CT examinations were performed using standard, low-dose and ultra-low-dose protocols (effective dose 3,5±0,9, 1,7±0,1 and 0,8±0,1 mSv, respectively) using two iterative reconstruction algorithms (IMR and iDose). The quality of the obtained data was assessed by 5 radiologists with more than 5-year experience in chest radiology.
Results. In terms of the number of misinterpretations, no significant differences were estimated between the standard and lowdose protocols for all reconstruction methods. The ultra-low-dose protocol was characterized by a significantly higher number of missing lesions compared to other protocols.
Conclusion. The developed method of assessment of the CT image quality has proven to be informative and reproducible and can be used to assess new scanning protocols.

About the Authors

G. V. Berkovich
Almazov National Medical Research Centre
Russian Federation

 St. Petersburg 



A. V. Vodovatov
St. Petersburg institute of radiation hygiene name after prof. P. V. Ramzaev
Russian Federation

 St. Petersburg 



L. A. Chipiga
St. Petersburg institute of radiation hygiene name after prof. P. V. Ramzaev; A. М. Granov Russian Scientific Center of Radiology and Surgical Technologies
Russian Federation

 St. Petersburg 



G. E. Trufanov
Almazov National Medical Research Centre
Russian Federation

 St. Petersburg 



References

1. Berkovich G.V., Chipiga L.A., Vodovatov A.V., Silin A.Y., Karatetskiy A.A., Trufanov G.E. Optimization of low-dose chest CT protocols for the evaluation of the ground glass nodules using different iterative reconstruction algorithms. Diagnostic radiology and radiotherapy, 2019, Nо. 4, рр. 20–32 (In Russ.). doi: 10.22328/2079-5343-2019-10-4-20-32.

2. Berkovich G.V., Chipiga L.A., Vodovatov A.V., Trufanov G.E. Comparison of different approaches to the diagnostic image quality assessment for the chest computed tomography. Diagnostic radiology and radiotherapy. 2020. Vol. 11, No. 3, рр. 44–55 (In Russ.). doi: 10.22328/2079-5343-2020-11-3-44-55.

3. ACR CT accreditation phantom. User manual (In Russ.).

4. Chipiga L.A. Evaluation of tube current modulation programms for the optimization of scan protocols in computed tomography. Radiatsionnaya Gygiena = Radiation Hygiene, 2019, Vol. 12, No. 1, рр. 104–114 (In Russ.).

5. Martin C.J. The importance of radiation quality for optimisation in radiology // Biomed. Imaging. Interv. J. 2007. Vol. 3, No. 2. P. e38.

6. Kalender W.A. Computed tomography: fundamentals, system technology, image quality, applications. 3rd rev. еd. Weinheim: Wiley-VCH, 2011. 220 p.

7. Yu L. et al. Radiation dose reduction in computed tomography: techniques and future perspective // Imaging Med. 2009. Vol. 1, No. 1. Р. 65–84.

8. Quality assurance programme for computed tomography: diagnostic and therapy applications. Vienna: International Atomic Energy Agency, 2012.

9. Hyun W.G. CT Radiation Dose Optimization and Estimation: an Update for Radiologists // Korean J. Radiol. 2012. Vol. 13, No. 1. Р. 1–11.

10. Samei E. et al. Medical Imaging Dose Optimization from Ground up: Expert Opinion of an International Summit // J. Radiol. Prot. 2018. Vol. 38, No. 3. Р. 967–989.

11. Kim H.J. et al. Ultra-Low-Dose Chest CT in Patients with Neutropenic Fever and Hematologic Malignancy: Image Quality and Its Diagnostic Performance // Cancer Res. Treat. 2014. Vol. 46, No. 4. Р. 393–402. doi: 10.4143/crt.2013.132. Epub 2014 Jul 18. PMID: 25308150; PMCID: PMC4206072.

12. Udayasankar U.K. et al. Acute abdominal pain: value of non-contrast enhanced ultra-low-dose multi-detector row CT as a substitute for abdominal radiographs // Emerg. Radiol. 2009. Vol. 16. Р. 61–70 [PubMed] [Google Scholar].

13. Zhang M. et al. Screening for lung cancer using sub-millisievert chest CT with iterative reconstruction algorithm: image quality and nodule detectability // Brit. J. Radiol. 2018. Vol. 91, No 1090. Р. 20170658. doi: 10.1259/bjr.20170658. Epub 2017 Dec 5. PMID: 29120665; PMCID: PMC6350471.

14. National Lung Screening Trial Research Team, Aberle D.R., Berg C.D. et al. The National Lung Screening Trial: overview and study design // Radiology. 2011. Vol. 258. Р. 243Y253.

15. Katsura M. et al. Model-based iterative reconstruction technique for ultralowdose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique // Invest Radiol. 2013. Vol. 48, No. 4. Р. 206–212. doi: 10.1097/RLI.0b013e31827efc3a. PMID: 23344517.

16. McDermott S., Kalra M.K. Low-Dose Computed Tomography for Lung Cancer Screening: The Protocol and The Dose // Semin Roentgenol. 2017. Vol. 52, No. 3. Р. 132–136. doi: 10.1053/j.ro.2017.06.002. Epub 2017 Jun 3. PMID: 28734394.

17. Larke F.J. et al. Estimated radiation dose associated with low-dose chest CT of average-size participants in the National Lung Screening Trial // AJR Am. J. Roentgenol. 2011. Vol. 197, Nо. 5. Р. 1165–1169. doi: 10.2214/AJR.11.6533. PMID: 22021510.

18. Bhalla A.S. et al. Imaging protocols for CT chest: A recommendation // Indian J. Radiol Imaging. 2019. Vol. 29, Nо. 3. Р. 236–246. doi: 10.4103/ijri.IJRI_34_19. Epub 2019 Oct 30. PMID: 31741590; PMCID: PMC6857267.


Review

For citations:


Berkovich G.V., Vodovatov A.V., Chipiga L.A., Trufanov G.E. The results of approbation of a comprehensive expert assessment of the quality of CT images of the chest obtained on low-dose scanning protocols using iterative reconstruction methods. Diagnostic radiology and radiotherapy. 2021;12(3):54-71. (In Russ.) https://doi.org/10.22328/2079-5343-2021-12-3-54-71

Views: 533


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-5343 (Print)