Abstract
Objectives
To determine the accuracy of scoutless, fixed-dose ultra-low-dose (ULD) CT compared to standard-dose (SD) CT for pulmonary nodule detection and semi-automated nodule measurement, across different patient sizes.
Methods
Sixty-three patients underwent ULD and SD CT. Two readers examined all studies visually and with computer-aided detection (CAD). Nodules detected on SD CT were included in the reference standard by consensus and stratified into 4 categories (nodule category, NODCAT) from the Dutch-Belgian Lung Cancer Screening trial (NELSON). Effects of NODCAT and patient size on nodule detection were determined. For each nodule, volume and diameter were compared between both scans.
Results
The reference standard comprised 173 nodules. For both readers, detection rates on ULD versus SD CT were not significantly different for NODCAT 3 and 4 nodules > 50 mm3 (reader 1: 93% versus 89% (p = 0.257); reader 2: 96% versus 98% (p = 0.317)). For NODCAT 1 and 2 nodules < 50 mm3, detection rates on ULD versus SD CT dropped significantly (reader 1: 66% versus 80% (p = 0.023); reader 2: 77% versus 87% (p = 0.039)). Body mass index and chest circumference did not influence nodule detectability (p = 0.229 and p = 0.362, respectively). Calculated volumes and diameters were smaller on ULD CT (p < 0.0001), without altering NODCAT (84% agreement).
Conclusions
Scoutless ULD CT reliably detects solid lung nodules with a clinically relevant volume (> 50 mm3) in lung cancer screening, irrespective of patient size. Since detection rates were lower compared to SD CT for nodules < 50 mm3, its use for lung metastasis detection should be considered on a case-by-case basis.
Key Points
• Detection rates of pulmonary nodules > 50 mm3are not significantly different between scoutless ULD and SD CT (i.e. volumes clinically relevant in lung cancer screening based on the NELSON trial), but were different for the detection of nodules < 50 mm3(i.e. volumes still potentially relevant in lung metastasis screening).
• Calculated nodule volumes were on average 0.03 mL or 9% smaller on ULD CT, which is below the 20–25% interscan variability previously reported with software-based volumetry.
• Even though a scoutless, fixed-dose ULD CT protocol was used (CTDI vol 0.15 mGy), pulmonary nodule detection was not influenced by patient size.
Similar content being viewed by others
Abbreviations
- ADMIRE:
-
Advanced modelled iterative reconstruction
- BMI:
-
Body mass index
- CAD:
-
Computer-aided detection
- CTDIvol :
-
Volume computed tomography dose index
- DLP:
-
Dose length product
- ED:
-
Effective dose
- kV:
-
Kilovolt
- LD:
-
Low dose
- mAs:
-
Milliampere * seconds
- MBIR:
-
Model-based iterative reconstruction
- mGy:
-
Milligray
- mSv:
-
Millisievert
- NELSON:
-
Dutch-Belgian Lung Cancer Screening Trial
- NODCAT:
-
Nodule category (adopted from the NELSON trial)
- SD:
-
Standard dose
- ULD:
-
Ultra-low dose
References
Chudgar NP, Bucciarelli PR, Jeffries EM et al (2015) Results of the National Lung Cancer Screening Trial: where are we now? Thorac Surg Clin 25:145–153
de Koning HJ, van der Aalst CM, de Jong PA et al (2020) Reduced lung-cancer mortality with volume CT screening in a randomized trial. N Engl J Med 382:503–513
MacMahon H, Naidich DP, Goo JM et al (2017) Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017. Radiology 284:228–243
Gatsonis CA, Aberle DR, Berg CD et al (2011) The national lung screening trial: overview and study design. Radiology 258:243–253
Willemink MJ, De Jong PA, Leiner T et al (2013) Iterative reconstruction techniques for computed tomography part 1: technical principles. Eur Radiol 23:1623–1631
Miller AR, Jackson D, Hui C et al (2019) Lung nodules are reliably detectable on ultra-low-dose CT utilising model-based iterative reconstruction with radiation equivalent to plain radiography. Clin Radiol 74:409.e17–409.e22
Larke FJ, Kruger RL, Cagnon CH et al (2011) Estimated radiation dose associated with low-dose chest CT of average-size participants in the national lung screening trial. AJR Am J Roentgenol 197:1165–1169
Yamada Y, Jinzaki M, Tanami Y et al (2012) Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol 47:482–489
Gordic S, Morsbach F, Schmidt B et al (2014) Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping. Invest Radiol 49:465–473
Kim Y, Kim YK, Lee BE et al (2015) Ultra-low-dose CT of the thorax using iterative reconstruction: evaluation of image quality and radiation dose reduction. AJR Am J Roentgenol 204:1197–1202
Martini K, Ottilinger T, Serrallach B et al (2019) Lung cancer screening with submillisievert chest CT: potential pitfalls of pulmonary findings in different readers with various experience levels. Eur J Radiol 121:108720
Messerli M, Kluckert T, Knitel M et al (2017) Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose – a prospective intra-individual comparative study. Eur Radiol 27:3290–3299
Paks M, Leong P, Einsiedel P, et al (2018) Ultralow dose CT for follow-up of solid pulmonary nodules: A pilot single-center study using Bland-Altman analysis. Medicine (Baltimore) 97(34):e12019
Bacher K, Smeets P, Bonnarens K et al (2003) Dose reduction in patients undergoing chest imaging: digital amorphous silicon flat-panel detector radiography versus conventional film-screen radiography and phosphor-based computed radiography. AJR Am J Roentgenol 181:923–929
Sui X, Meinel FG, Song W et al (2016) Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT. Eur J Radiol 85:564–570
Ye K, Zhu Q, Li M et al (2019) A feasibility study of pulmonary nodule detection by ultralow-dose CT with adaptive statistical iterative reconstruction-V technique. Eur J Radiol 119:108652
Martini K, Barth BK, Nguyen-Kim TDL et al (2016) 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 85:360–365
Deak PD, Smal Y, Kalender WA (2010) Multisection CT protocols: sex- and age-specific conversion dose from dose-length product. Radiology 257:158–166
Zhao YR, Xie X, De Koning HJ et al (2011) NELSON lung cancer screening study. Cancer Imaging 11:79–84
Yousaf-Khan U, Van Der Aalst C, De Jong PA et al (2017) Final screening round of the NELSON lung cancer screening trial: the effect of a 2.5-year screening interval. Thorax 72:48–56
Aberle DR, Adams AM, Berg CD et al (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365(5):395–409
Horeweg N, van Rosmalen J, Heuvelmans MA et al (2014) Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening. Lancet Oncol 15:1332–1341
Wahidi MM, Govert JA, Goudar RK et al (2007) Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest 132:94S–107S
Callister MEJ, Baldwin DR, Akram AR et al (2015) British Thoracic Society guidelines for the investigation and management of pulmonary nodules. Thorax 70:ii1–ii54
Hanamiya M, Aoki T, Yamashita Y et al (2012) Frequency and significance of pulmonary nodules on thin-section CT in patients with extrapulmonary malignant neoplasms. Eur J Radiol 81:152–157
Li F, Armato SG, Giger ML, MacMahon H (2016) Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat 159:265–271
Mery CM, Pappas AN, Jaklitsch MT (2004) Relationship between a history of antecedent cancer and the probability of malignancy for a solitary pulmonary nodule. Chest 125:2175–2181
Munden RF, Erasmus JJ, Wahba H, Fineberg NS (2010) Follow-up of small (4 mm or less) incidentally detected nodules by computed tomography in oncology patients: a retrospective review. J Thorac Oncol 5:1958–1962
Midthun DE, Swensen SJ, Jett JR, Hartman TE (2003) Evaluation of nodules detected by screening for lung cancer with low dose spiral computed tomography. Lung Cancer 41:S40
Yang Q, Wang Y, Ban X et al (2017) Prediction of pulmonary metastasis in pulmonary nodules (≤10 mm) detected in patients with primary extrapulmonary malignancy at thin-section staging CT. Radiol Med 122:837–849
Araujo-Filho J, Batista A, Halpenny D et al (2021) Management of pulmonary nodules in oncologic patients: AJR expert panel narrative review. AJR Am J Roentgenol 216:1423–1431. https://doi.org/10.2214/AJR.20.24907
Funding
The authors state that this work has not received any funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Guarantor
The scientific guarantor of this publication is Mathieu Lefere.
Conflict of interest
The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
One of the authors has significant statistical expertise.
Informed consent
Written informed consent was obtained from all subjects (patients) in this study.
Ethical approval
Institutional Review Board approval was obtained.
Methodology
• prospective
• diagnostic or prognostic study
• performed at one institution
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
ESM 1
(DOCX 19 kb)
Rights and permissions
About this article
Cite this article
Gheysens, G., De Wever, W., Cockmartin, L. et al. Detection of pulmonary nodules with scoutless fixed-dose ultra-low-dose CT: a prospective study. Eur Radiol 32, 4437–4445 (2022). https://doi.org/10.1007/s00330-022-08584-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-022-08584-y