Personalized Chest Computed Tomography: Minimum Diagnostic Radiation Dose Levels for the Detection of Fibrosis, Nodules, and Pneumonia.


Journal

Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377

Informations de publication

Date de publication:
01 03 2022
Historique:
pubmed: 2 9 2021
medline: 15 4 2022
entrez: 1 9 2021
Statut: ppublish

Résumé

The purpose of this study was to evaluate the minimum diagnostic radiation dose level for the detection of high-resolution (HR) lung structures, pulmonary nodules (PNs), and infectious diseases (IDs). A preclinical chest computed tomography (CT) trial was performed with a human cadaver without known lung disease with incremental radiation dose using tin filter-based spectral shaping protocols. A subset of protocols for full diagnostic evaluation of HR, PN, and ID structures was translated to clinical routine. Also, a minimum diagnostic radiation dose protocol was defined (MIN). These protocols were prospectively applied over 5 months in the clinical routine under consideration of the individual clinical indication. We compared radiation dose parameters, objective and subjective image quality (IQ). The HR protocol was performed in 38 patients (43%), PN in 21 patients (24%), ID in 20 patients (23%), and MIN in 9 patients (10%). Radiation dose differed significantly among HR, PN, and ID (5.4, 1.2, and 0.6 mGy, respectively; P < 0.001). Differences between ID and MIN (0.2 mGy) were not significant (P = 0.262). Dose-normalized contrast-to-noise ratio was comparable among all groups (P = 0.087). Overall IQ was perfect for the HR protocol (median, 5.0) and decreased for PN (4.5), ID-CT (4.3), and MIN-CT (2.5). The delineation of disease-specific findings was high in all dedicated protocols (HR, 5.0; PN, 5.0; ID, 4.5). The MIN protocol had borderline IQ for PN and ID lesions but was insufficient for HR structures. The dose reductions were 78% (PN), 89% (ID), and 97% (MIN) compared with the HR protocols. Personalized chest CT tailored to the clinical indications leads to substantial dose reduction without reducing interpretability. More than 50% of patients can benefit from such individual adaptation in a clinical routine setting. Personalized radiation dose adjustments with validated diagnostic IQ are especially preferable for evaluating ID and PN lesions.

Identifiants

pubmed: 34468413
doi: 10.1097/RLI.0000000000000822
pii: 00004424-202203000-00002
pmc: PMC8826613
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

148-156

Informations de copyright

Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

Conflicts of interest and sources of funding: M.M., R.H., M. Wiesmueller, C.T., M.U., and M.K. are members of the Siemens Healthineers speakers' bureau. The other authors have no conflicts of interest to declare.

Références

Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med . 2020;382:1708–1720.
Li K, Wu J, Wu F, et al. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Invest Radiol . 2020;55:327–331.
Wu J, Wu X, Zeng W, et al. Chest CT findings in patients with coronavirus disease 2019 and its relationship with clinical features. Invest Radiol . 2020;55:257–261.
Hammond E, Chan KS, Ames JC, et al. Impact of advanced detector technology and iterative reconstruction on low-dose quantitative assessment of lung computed tomography density in a biological lung model. Med Phys . 2018. doi:10.1002/mp.13057.
doi: 10.1002/mp.13057
May MS, Brand M, Lell MM, et al. Radiation dose reduction in parasinus CT by spectral shaping. Neuroradiology . 2017;59:169–176.
Suntharalingam S, Allmendinger T, Blex S, et al. Spectral beam shaping in unenhanced chest CT examinations: a phantom study on dose reduction and image quality. Acad Radiol . 2018;25:153–158.
Newell JD Jr., Fuld MK, Allmendinger T, et al. Very low-dose (0.15 mGy) chest CT protocols using the COPDGene 2 test object and a third-generation dual-source CT scanner with corresponding third-generation iterative reconstruction software. Invest Radiol . 2015;50:40–45.
Saltybaeva N, Martini K, Frauenfelder T, et al. Organ dose and attributable cancer risk in lung cancer screening with low-dose computed tomography. PLoS One . 2016;11:e0155722.
Lyu P, Liu X, Zhang R, et al. The performance of chest CT in evaluating the clinical severity of COVID-19 pneumonia: identifying critical cases based on CT characteristics. Invest Radiol . 2020;55:412–421.
Khawaja RD, Singh S, Madan R, et al. Ultra low-dose chest CT using filtered back projection: comparison of 80-, 100- and 120 kVp protocols in a prospective randomized study. Eur J Radiol . 2014;83:1934–1944.
Gordic S, Morsbach F, Schmidt B, et al. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping. Invest Radiol . 2014;49:465–473.
Eberhard M, Stocker D, Milanese G, et al. Volumetric assessment of solid pulmonary nodules on ultralow-dose CT: a phantom study. J Thorac Dis . 2019;11:3515–3524.
Messerli M, Kluckert T, Knitel M, et al. Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose—a prospective intra-individual comparative study. Eur Radiol . 2017;27:3290–3299.
Vonder M, Dorrius MD, Vliegenthart R. Latest CT technologies in lung cancer screening: protocols and radiation dose reduction. Transl Lung Cancer Res . 2021;10:1154–1164.
Aberle DR, Adams AM, Berg CD, et al; National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med . 2011;365:395–409.
Huber A, Landau J, Ebner L, et al. Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest x-ray imaging. Eur Radiol . 2016;26:3643–3652.
Vardhanabhuti V, Pang CL, Tenant S, et al. Prospective intra-individual comparison of standard dose versus reduced-dose thoracic CT using hybrid and pure iterative reconstruction in a follow-up cohort of pulmonary nodules—effect of detectability of pulmonary nodules with lowering dose based on nodule size, type and body mass index. Eur J Radiol . 2017;91:130–141.
Xu X, Sui X, Song L, et al. Feasibility of low-dose CT with spectral shaping and third-generation iterative reconstruction in evaluating interstitial lung diseases associated with connective tissue disease: an intra-individual comparison study. Eur Radiol . 2019;29:4529–4537.
Loeve M, Lequin MH, de Bruijne M, et al. Cystic fibrosis: are volumetric ultra-low-dose expiratory CT scans sufficient for monitoring related lung disease? Radiology . 2009;253:223–229.
Wendel F, Jenett M, Geib A, et al. Low-dose CT in neutropenic patients with fever of unknown origin. Rofo . 2005;177:1424–1429.
Agostini A, Floridi C, Borgheresi A, et al. Proposal of a low-dose, long-pitch, dual-source chest CT protocol on third-generation dual-source CT using a tin filter for spectral shaping at 100 kVp for coronavirus disease 2019 (COVID-19) patients: a feasibility study. Radiol Med . 2020;125:365–373.
Wuest W, May M, Saake M, et al. Low-dose CT of the paranasal sinuses: minimizing x-ray exposure with spectral shaping. Eur Radiol . 2016;26:4155–4161.
Mathieu KB, Ai H, Fox PS, et al. Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study. J Appl Clin Med Phys . 2014;15:4515.
Deak PD, Smal Y, Kalender WA. Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product. Radiology . 2010;257:158–166.
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics . 1977;33:159–174.
Kim Y, Kim YK, Lee BE, et al. Ultra-low-dose CT of the thorax using iterative reconstruction: evaluation of image quality and radiation dose reduction. AJR Am J Roentgenol . 2015;204:1197–1202.
Hu-Wang E, Schuzer JL, Rollison S, et al. Chest CT scan at radiation dose of a posteroanterior and lateral chest radiograph series: a proof of principle in lymphangioleiomyomatosis. Chest . 2019;155:528–533.
Kroft LJM, van der Velden L, Giron IH, et al. Added value of ultra-low-dose computed tomography, dose equivalent to chest x-ray radiography, for diagnosing chest pathology. J Thorac Imaging . 2019;34:179–186.
Martini K, Barth BK, Nguyen-Kim TD, et al. Evaluation of pulmonary nodules and infection on chest CT with radiation dose equivalent to chest radiography: prospective intra-individual comparison study to standard dose CT. Eur J Radiol . 2016;85:360–365.
Tesche C, De Cecco CN, Schoepf UJ, et al. CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol . 2017;91:29–34.
Zhang M, Qi W, Sun Y, et al. Screening for lung cancer using sub-millisievert chest CT with iterative reconstruction algorithm: image quality and nodule detectability. Br J Radiol . 2018;91:20170658.
Neroladaki A, Botsikas D, Boudabbous S, et al. Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest x-ray examination: preliminary observations. Eur Radiol . 2013;23:360–366.
Lee C. Managing radiation dose from chest CT in COVID-19 patients. Radiology . 2020:204129.
Homayounieh F, Holmberg O, Al Umairi R, et al. Variations in CT utilization, protocols, and radiation doses in COVID-19 pneumonia: results from 28 countries in the IAEA study. Radiology . 2021;298:E141–E151.
Upchurch CP, Grijalva CG, Wunderink RG, et al. Community-acquired pneumonia visualized on CT scans but not chest radiographs: pathogens, severity, and clinical outcomes. Chest . 2018;153:601–610.
Nemoto M, Nakashima K, Noma S, et al. Prognostic value of chest computed tomography in community-acquired pneumonia patients. ERJ Open Res . 2020;6:00079–02020.
Garin N, Marti C, Scheffler M, et al. Computed tomography scan contribution to the diagnosis of community-acquired pneumonia. Curr Opin Pulm Med . 2019;25:242–248.
Becker N, Motsch E, Gross ML, et al. Randomized study on early detection of lung cancer with MSCT in Germany: study design and results of the first screening round. J Cancer Res Clin Oncol . 2012;138:1475–1486.
de Koning HJ, van der Aalst CM, de Jong PA, et al. Reduced lung-cancer mortality with volume CT screening in a randomized trial. N Engl J Med . 2020;382:503–513.
Martini K, Ottilinger T, Serrallach B, et al. Lung cancer screening with submillisievert chest CT: potential pitfalls of pulmonary findings in different readers with various experience levels. Eur J Radiol . 2019;121:108720.
Martin MD, Kanne JP, Broderick LS, et al. Lung-RADS: pushing the limits. Radiographics . 2017;37:1975–1993.
Chelala L, Hossain R, Kazerooni EA, et al. Lung-RADS version 1.1: challenges and a look ahead, from the AJR Special Series on Radiology Reporting and Data Systems. AJR Am J Roentgenol . 2021;216:1411–1422.
Kastner J, Hossain R, Jeudy J, et al. Lung-RADS version 1.0 versus Lung-RADS version 1.1: comparison of categories using nodules from the national lung screening trial. Radiology . 2021;300:199–206.

Auteurs

Matthias May (M)

From the Department of Radiology, University Hospital Erlangen.

Rafael Heiss (R)

From the Department of Radiology, University Hospital Erlangen.

Julia Koehnen (J)

From the Department of Radiology, University Hospital Erlangen.

Matthias Wetzl (M)

From the Department of Radiology, University Hospital Erlangen.

Marco Wiesmueller (M)

From the Department of Radiology, University Hospital Erlangen.

Christoph Treutlein (C)

From the Department of Radiology, University Hospital Erlangen.

Lars Braeuer (L)

Institute of Anatomy, Chair II, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Michael Uder (M)

From the Department of Radiology, University Hospital Erlangen.

Markus Kopp (M)

From the Department of Radiology, University Hospital Erlangen.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH