Literature DB >> 26813670

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging.

Adrian Huber1,2, Julia Landau3, Lukas Ebner3,4, Yanik Bütikofer3, Lars Leidolt3, Barbara Brela3, Michelle May3, Johannes Heverhagen3, Andreas Christe3.   

Abstract

OBJECTIVE: To investigate the detection rate of pulmonary nodules in ultralow-dose CT acquisitions.
MATERIALS AND METHODS: In this lung phantom study, 232 nodules (115 solid, 117 ground-glass) of different sizes were randomly distributed in a lung phantom in 60 different arrangements. Every arrangement was acquired once with standard radiation dose (100 kVp, 100 references mAs) and once with ultralow radiation dose (80 kVp, 6 mAs). Iterative reconstruction was used with optimized kernels: I30 for ultralow-dose, I70 for standard dose and I50 for CAD. Six radiologists examined the axial 1-mm stack for solid and ground-glass nodules. During a second and third step, three radiologists used maximum intensity projection (MIPs), finally checking with computer-assisted detection (CAD), while the others first used CAD, finally checking with the MIPs.
RESULTS: The detection rate was 95.5 % with standard dose (DLP 126 mGy*cm) and 93.3 % with ultralow-dose (DLP: 9 mGy*cm). The additional use of either MIP reconstructions or CAD software could compensate for this difference. A combination of both MIP reconstructions and CAD software resulted in a maximum detection rate of 97.5 % with ultralow-dose.
CONCLUSION: Lung cancer screening with ultralow-dose CT using the same radiation dose as a conventional chest X-ray is feasible. KEY POINTS: • 93.3 % of all lung nodules were detected with ultralow-dose CT. • A sensitivity of 97.5 % is possible with additional image post-processing. • The radiation dose is comparable to a standard radiography in two planes. • Lung cancer screening with ultralow-dose CT is feasible.

Entities:  

Keywords:  Computed tomography; Diagnostic performance with low radiation dosage; Lung adenocarcinoma; Pulmonary nodule detection; Ultralow-dose acquisition

Mesh:

Year:  2016        PMID: 26813670     DOI: 10.1007/s00330-015-4192-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  36 in total

1.  Low-dose CT of the lung: potential value of iterative reconstructions.

Authors:  Stephan Baumueller; Anna Winklehner; Christoph Karlo; Robert Goetti; Thomas Flohr; Erich W Russi; Thomas Frauenfelder; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2012-06-15       Impact factor: 5.315

2.  Individual comparisons of grouped data by ranking methods.

Authors:  F WILCOXON
Journal:  J Econ Entomol       Date:  1946-04       Impact factor: 2.381

3.  The 2007 Recommendations of the International Commission on Radiological Protection. ICRP publication 103.

Authors: 
Journal:  Ann ICRP       Date:  2007

4.  Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.

Authors:  Qiang Li; Feng Li; Kunio Doi
Journal:  Acad Radiol       Date:  2008-02       Impact factor: 3.173

5.  Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations.

Authors:  Angeliki Neroladaki; Diomidis Botsikas; Sana Boudabbous; Christoph D Becker; Xavier Montet
Journal:  Eur Radiol       Date:  2012-08-15       Impact factor: 5.315

Review 6.  European and North American lung cancer screening experience and implications for pulmonary nodule management.

Authors:  Arjun Nair; David M Hansell
Journal:  Eur Radiol       Date:  2011-08-10       Impact factor: 5.315

7.  Diagnostic performance of low-dose computed tomography screening for lung cancer over five years.

Authors:  Giulia Veronesi; Patrick Maisonneuve; Lorenzo Spaggiari; Cristiano Rampinelli; Alessandro Pardolesi; Raffaella Bertolotti; Niccolò Filippi; Massimo Bellomi
Journal:  J Thorac Oncol       Date:  2014-07       Impact factor: 15.609

8.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.

Authors:  M Kaneko; K Eguchi; H Ohmatsu; R Kakinuma; T Naruke; K Suemasu; N Moriyama
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

9.  Radiation risks potentially associated with low-dose CT screening of adult smokers for lung cancer.

Authors:  David J Brenner
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

10.  Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume.

Authors:  Yingru Zhao; Geertruida H de Bock; Rozemarijn Vliegenthart; Rob J van Klaveren; Ying Wang; Luca Bogoni; Pim A de Jong; Willem P Mali; Peter M A van Ooijen; Matthijs Oudkerk
Journal:  Eur Radiol       Date:  2012-07-20       Impact factor: 5.315

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  23 in total

Review 1.  Implementation and organization of lung cancer screening.

Authors:  Jesper Holst Pedersen; Haseem Ashraf
Journal:  Ann Transl Med       Date:  2016-04

2.  Can We Perform CT of the Appendix with Less Than 1 mSv? A De-escalating Dose-simulation Study.

Authors:  Ji Hoon Park; Jong-June Jeon; Sung Soo Lee; Amar C Dhanantwari; Ji Ye Sim; Hae Young Kim; Kyoung Ho Lee
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

3.  Establishing scanning protocols for a CT lung cancer screening trial in the UK.

Authors:  Gareth R Iball; Michael Darby; Rhian Gabe; Philip A J Crosbie; Matthew E J Callister
Journal:  Br J Radiol       Date:  2021-09-24       Impact factor: 3.039

4.  Tin-filtered low-dose chest CT to quantify macroscopic calcification burden of the thoracic aorta.

Authors:  Christoph Schabel; Daniele Marin; Dominik Ketelsen; Alfredo E Farjat; Georg Bier; Mario Lescan; Fabian Bamberg; Konstantin Nikolaou; Malte N Bongers
Journal:  Eur Radiol       Date:  2017-12-01       Impact factor: 5.315

5.  Observer Performance for Detection of Pulmonary Nodules at Chest CT over a Large Range of Radiation Dose Levels.

Authors:  Joel G Fletcher; David L Levin; Anne-Marie G Sykes; Rebecca M Lindell; Darin B White; Ronald S Kuzo; Vighnesh Suresh; Lifeng Yu; Shuai Leng; David R Holmes; Akitoshi Inoue; Matthew P Johnson; Rickey E Carter; Cynthia H McCollough
Journal:  Radiology       Date:  2020-09-29       Impact factor: 11.105

6.  Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose - a prospective intra-individual comparative study.

Authors:  Michael Messerli; Thomas Kluckert; Meinhard Knitel; Stephan Wälti; Lotus Desbiolles; Fabian Rengier; René Warschkow; Ralf W Bauer; Hatem Alkadhi; Sebastian Leschka; Simon Wildermuth
Journal:  Eur Radiol       Date:  2017-01-16       Impact factor: 5.315

7.  Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

Authors:  Alan A Peters; Adrian T Huber; Verena C Obmann; Johannes T Heverhagen; Andreas Christe; Lukas Ebner
Journal:  Eur Radiol       Date:  2022-01-21       Impact factor: 5.315

Review 8.  Advances in the management of osteosarcoma.

Authors:  Stefan S Bielack; Stefanie Hecker-Nolting; Claudia Blattmann; Leo Kager
Journal:  F1000Res       Date:  2016-11-25

9.  Detection of artificial pulmonary lung nodules in ultralow-dose CT using an ex vivo lung phantom.

Authors:  Caroline Alexandra Burgard; Thomas Gaass; Madeleine Bonert; David Bondesson; Natalie Thaens; Maximilian Ferdinand Reiser; Julien Dinkel
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

10.  Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.

Authors:  Shiqi Jin; Bo Zhang; Lina Zhang; Shu Li; Songbai Li; Peiling Li
Journal:  Quant Imaging Med Surg       Date:  2018-06
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