Literature DB >> 26118300

Evaluation of a new system for chest tomosynthesis: aspects of image quality of different protocols determined using an anthropomorphic phantom.

M Jadidi1, A Sundin2,3, P Aspelin4,5, M Båth6,7, S Nyrén8,9.   

Abstract

OBJECTIVE: To compare the image quality obtained with the different protocols in a new chest digital tomosynthesis (DTS) system.
METHODS: A chest phantom was imaged with chest X-ray equipment with DTS. 10 protocols were used, and for each protocol, nine acquisitions were performed. Four observers visually rated the quality of the reconstructed section images according to pre-defined quality criteria in four different classes. The data were analysed with visual grading characteristics (VGC) analysis, using the vendor-recommended protocol [12-s acquisition time, source-to-image distance (SID) 180 cm] as reference, and the area under the VGC curve (AUCVGC) was determined for each protocol and class of criteria.
RESULTS: Protocols with a smaller swing angle resulted in a lower image quality for the classes of criteria "disturbance" and "homogeneity in nodule" but a higher image quality for the class "structure". The class "demarcation" showed little dependency on the swing angle. All protocols but one (6.3 s, SID 130 cm) obtained an AUCVGC significantly <0.5 (indicating lower quality than reference) for at least one class of criteria.
CONCLUSION: The study indicates that the DTS protocol with 6.3 s yields image quality similar to that obtained with the vendor-recommended protocol (12 s) but with the clinically important advantage for patients with respiratory impairment of a shorter acquisition time. ADVANCES IN KNOWLEDGE: The study demonstrates that the image quality may be strongly affected by the choice of protocol and that the vendor-recommended protocol may not be optimal.

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Year:  2015        PMID: 26118300      PMCID: PMC4743566          DOI: 10.1259/bjr.20150057

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  31 in total

1.  Clinical utility of chest roentgenograms.

Authors:  J T Geitung; L M Skjaerstad; J H Göthlin
Journal:  Eur Radiol       Date:  1999       Impact factor: 5.315

2.  Evaluation of accuracy and precision of manual size measurements in chest tomosynthesis using simulated pulmonary nodules.

Authors:  Christina Söderman; Åse A Johnsson; Jenny Vikgren; Rauni R Norrlund; David Molnar; Angelica Svalkvist; Lars G Månsson; Magnus Båth
Journal:  Acad Radiol       Date:  2015-01-15       Impact factor: 3.173

3.  Image quality dependency on system configuration and tube voltage in chest tomosynthesis—a visual grading study using an anthropomorphic chest phantom.

Authors:  Christina Söderman; Sara Asplund; Åse Allansdotter Johnsson; Jenny Vikgren; Rauni Rossi Norrlund; David Molnar; Angelica Svalkvist; Lars Gunnar Månsson; Magnus Båth
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

4.  Digital tomosynthesis of the thorax: the influence of respiratory motion artifacts on lung nodule detection.

Authors:  Sung Mok Kim; Myung Jin Chung; Kyung Soo Lee; Hee Kang; In-Young Song; Eun Joo Lee; Hye Sun Hwang
Journal:  Acta Radiol       Date:  2013-04-30       Impact factor: 1.990

5.  Tomosynthesis for the early detection of pulmonary emphysema: diagnostic performance compared with chest radiography, using multidetector computed tomography as reference.

Authors:  Yoshitake Yamada; Masahiro Jinzaki; Masahiro Hashimoto; Eisuke Shiomi; Takayuki Abe; Sachio Kuribayashi; Kenji Ogawa
Journal:  Eur Radiol       Date:  2013-03-21       Impact factor: 5.315

6.  Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis.

Authors:  Sara A Asplund; Åse A Johnsson; Jenny Vikgren; Angelica Svalkvist; Agneta Flinck; Marianne Boijsen; Valeria A Fisichella; Lars Gunnar Månsson; Magnus Båth
Journal:  Eur Radiol       Date:  2014-05-04       Impact factor: 5.315

7.  Chest radiography in general practice: indications, diagnostic yield and consequences for patient management.

Authors:  Anouk M Speets; Yolanda van der Graaf; Arno W Hoes; Sandra Kalmijn; Alfred Pe Sachs; Matthieu Jcm Rutten; Jan Willem C Gratama; Alexander D Montauban van Swijndregt; Willem Pthm Mali
Journal:  Br J Gen Pract       Date:  2006-08       Impact factor: 5.386

8.  A retrospective study of chest tomosynthesis as a tool for optimizing the use of computed tomography resources and reducing patient radiation exposure.

Authors:  Åse A Johnsson; Jenny Vikgren; Magnus Båth
Journal:  Acad Radiol       Date:  2014-08-02       Impact factor: 3.173

9.  Lung cancer detection with digital chest tomosynthesis: baseline results from the observational study SOS.

Authors:  Alberto Terzi; Luca Bertolaccini; Andrea Viti; Liliana Comello; Donatella Ghirardo; Roberto Priotto; Maurizio Grosso
Journal:  J Thorac Oncol       Date:  2013-06       Impact factor: 15.609

10.  Comparison of chest digital tomosynthesis and chest radiography for detection of asbestos-related pleuropulmonary disease.

Authors:  G Lee; Y J Jeong; K I Kim; J W Song; D M Kang; Y D Kim; J W Lee
Journal:  Clin Radiol       Date:  2012-11-21       Impact factor: 2.350

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  1 in total

1.  Dependency of image quality on acquisition protocol and image processing in chest tomosynthesis-a visual grading study based on clinical data.

Authors:  Masoud Jadidi; Magnus Båth; Sven Nyrén
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

  1 in total

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