Literature DB >> 18649488

Digital tomosynthesis of the chest for lung nodule detection: interim sensitivity results from an ongoing NIH-sponsored trial.

T Dobbins James, H Page McAdams, Jae-Woo Song, Christina M Li, Devon J Godfrey, David M DeLong, Sang-Hyun Paik, Santiago Martinez-Jimenez.   

Abstract

The authors report interim clinical results from an ongoing NIH-sponsored trial to evaluate digital chest tomosynthesis for improving detectability of small lung nodules. Twenty-one patients undergoing computed tomography (CT) to follow up lung nodules were consented and enrolled to receive an additional digital PA chest radiograph and digital tomosynthesis exam. Tomosynthesis was performed with a commercial CsI/a-Si flat-panel detector and a custom-built tube mover. Seventy-one images were acquired in 11 s, reconstructed with the matrix inversion tomosynthesis algorithm at 5-mm plane spacing, and then averaged (seven planes) to reduce noise and low-contrast artifacts. Total exposure for tomosynthesis imaging was equivalent to that of 11 digital PA radiographs (comparable to a typical screen-film lateral radiograph or two digital lateral radiographs). CT scans (1.25-mm section thickness) were reviewed to confirm presence and location of nodules. Three chest radiologists independently reviewed tomosynthesis images and PA chest radiographs to confirm visualization of nodules identified by CT. Nodules were scored as: definitely visible, uncertain, or not visible. 175 nodules (diameter range 3.5-25.5 mm) were seen by CT and grouped according to size: < 5, 5-10, and > 10 mm. When considering as true positives only nodules that were scored definitely visible, sensitivities for all nodules by tomosynthesis and PA radiography were 70% (+/- 5%) and 22% (+/- 4%), respectively, (p < 0.0001). Digital tomosynthesis showed significantly improved sensitivity of detection of known small lung nodules in all three size groups, when compared to PA chest radiography.

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Year:  2008        PMID: 18649488      PMCID: PMC2673631          DOI: 10.1118/1.2937277

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

Review 1.  Digital x-ray tomosynthesis: current state of the art and clinical potential.

Authors:  James T Dobbins; Devon J Godfrey
Journal:  Phys Med Biol       Date:  2003-10-07       Impact factor: 3.609

2.  Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

3.  A simple method for the analysis of clustered binary data.

Authors:  J N Rao; A J Scott
Journal:  Biometrics       Date:  1992-06       Impact factor: 2.571

4.  Optimization of the matrix inversion tomosynthesis (MITS) impulse response and modulation transfer function characteristics for chest imaging.

Authors:  Devon J Godfrey; H P McAdams; James T Dobbins
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

5.  Tomosynthesis: a three-dimensional radiographic imaging technique.

Authors:  D G Grant
Journal:  IEEE Trans Biomed Eng       Date:  1972-01       Impact factor: 4.538

  5 in total
  28 in total

1.  Automated lung segmentation in digital chest tomosynthesis.

Authors:  Jiahui Wang; James T Dobbins; Qiang Li
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  Comparison between chest digital tomosynthesis and CT as a screening method to detect artificial pulmonary nodules: a phantom study.

Authors:  T Gomi; M Nakajima; H Fujiwara; T Takeda; K Saito; T Umeda; K Sakaguchi
Journal:  Br J Radiol       Date:  2012-03-14       Impact factor: 3.039

3.  A dual-view digital tomosynthesis imaging technique for improved chest imaging.

Authors:  Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

4.  Analysis of the impact of digital tomosynthesis on the radiological investigation of patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Stefano Cernic; Arianna Lorusso; Federica Casagrande; Vincenzo Cioffi; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

5.  Evaluation of the effect of geometry for measuring section thickness in tomosynthesis.

Authors:  Ryohei Fukui; Rie Ishii; Junichi Kishimoto; Shinichiro Yamato; Akira Takahata; Chiyuki Kohama
Journal:  Radiol Phys Technol       Date:  2013-11-20

6.  Stochastic noise characteristics in matrix inversion tomosynthesis (MITS).

Authors:  Devon J Godfrey; H P McAdams; James T Third Dobbins
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

Review 7.  Tomosynthesis imaging: at a translational crossroads.

Authors:  James T Dobbins
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

8.  The effect of averaging adjacent planes for artifact reduction in matrix inversion tomosynthesis.

Authors:  Devon J Godfrey; H Page McAdams; James T Dobbins
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

Review 9.  Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis.

Authors:  Jun H Kim; Kyung H Lee; Kyoung-Tae Kim; Hyun J Kim; Hyeong S Ahn; Yeo J Kim; Ha Y Lee; Yong S Jeon
Journal:  Br J Radiol       Date:  2016-10-19       Impact factor: 3.039

10.  Comparison of chest radiography, chest digital tomosynthesis and low dose MDCT to detect small ground-glass opacity nodules: an anthropomorphic chest phantom study.

Authors:  Kyung Won Doo; Eun-Young Kang; Hwan Seok Yong; Soo-Youn Ham; Ki Yeol Lee; Ji Yung Choo
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

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