Literature DB >> 19616909

Chest tomosynthesis: technical principles and clinical update.

James T Dobbins1, H Page McAdams.   

Abstract

Digital tomosynthesis is a radiographic technique that can produce an arbitrary number of section images of a patient from a single pass of the X-ray tube. It utilizes a conventional X-ray tube, a flat-panel detector, a computer-controlled tube mover, and special reconstruction algorithms to produce section images. While it does not have the depth resolution of computed tomography (CT), tomosynthesis provides some of the tomographic benefits of CT but at lower cost and radiation dose than CT. Compared to conventional chest radiography, chest tomosynthesis results in improved visibility of normal structures such as vessels, airway and spine. By reducing visual clutter from overlying normal anatomy, it also enhances detection of small lung nodules. This review article outlines the components of a tomosynthesis system, discusses results regarding improved lung nodule detection from the recent literature, and presents examples of nodule detection from a clinical trial in human subjects. Possible implementation strategies for use in clinical chest imaging are discussed.

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Year:  2009        PMID: 19616909      PMCID: PMC3693857          DOI: 10.1016/j.ejrad.2009.05.054

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  65 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.  Optimization of a tomosynthesis system for the detection of lung nodules.

Authors:  Angel R Pineda; Sungwon Yoon; David S Paik; Rebecca Fahrig
Journal:  Med Phys       Date:  2006-05       Impact factor: 4.071

3.  Initial clinical experience with contrast-enhanced digital breast tomosynthesis.

Authors:  Sara C Chen; Ann-Katherine Carton; Michael Albert; Emily F Conant; Mitchell D Schnall; Andrew D A Maidment
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

4.  Five-year lung cancer screening experience: CT appearance, growth rate, location, and histologic features of 61 lung cancers.

Authors:  Rebecca M Lindell; Thomas E Hartman; Stephen J Swensen; James R Jett; David E Midthun; Henry D Tazelaar; Jayawant N Mandrekar
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

5.  Restoration of digital multiplane tomosynthesis by a constrained iteration method.

Authors:  U E Ruttimann; R A Groenhuis; R L Webber
Journal:  IEEE Trans Med Imaging       Date:  1984       Impact factor: 10.048

6.  Single-exposure dual-energy computed radiography: improved detection and processing.

Authors:  D L Ergun; C A Mistretta; D E Brown; R T Bystrianyk; W K Sze; F Kelcz; D P Naidich
Journal:  Radiology       Date:  1990-01       Impact factor: 11.105

7.  Comparison of film, direct digital, and tuned-aperture computed tomography images to identify the location of crestal defects around endosseous titanium implants.

Authors:  R L Webber; R A Horton; T E Underhill; J B Ludlow; D A Tyndall
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1996-04

8.  Digital tomosynthesis imaging of the lung.

Authors:  S Sone; T Kasuga; F Sakai; K Oguchi; A Itoh; F Li; Y Maruyama; K Kubo; T Honda; M Haniuda; K Takemura
Journal:  Radiat Med       Date:  1996 Mar-Apr

Review 9.  Strategy and cost in investigating solitary pulmonary nodules.

Authors:  M K Gould; G A Lillington
Journal:  Thorax       Date:  1998-08       Impact factor: 9.139

10.  Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases.

Authors:  Jenny Vikgren; Sara Zachrisson; Angelica Svalkvist; Ase A Johnsson; Marianne Boijsen; Agneta Flinck; Susanne Kheddache; Magnus Båth
Journal:  Radiology       Date:  2008-10-10       Impact factor: 11.105

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  32 in total

1.  A computerized scheme for lung nodule detection in multiprojection chest radiography.

Authors:  Wei Guo; Qiang Li; Sarah J Boyce; H Page McAdams; Junji Shiraishi; Kunio Doi; Ehsan Samei
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Digital tomosynthesis--a new lease of life for the intravenous urogram?

Authors:  I T P Wells; V M Raju; B K Rowberry; S Johns; S J Freeman; I P Wells
Journal:  Br J Radiol       Date:  2011-05       Impact factor: 3.039

3.  Stationary intraoral digital tomosynthesis using a carbon nanotube X-ray source array.

Authors:  J Shan; A W Tucker; L R Gaalaas; G Wu; E Platin; A Mol; J Lu; O Zhou
Journal:  Dentomaxillofac Radiol       Date:  2015-06-19       Impact factor: 2.419

Review 4.  Digital tomosynthesis in lung cancer: state of the art.

Authors:  Luca Bertolaccini; Andrea Viti; Alberto Terzi
Journal:  Ann Transl Med       Date:  2015-06

5.  Comparison of digital tomosynthesis and computed tomography for lung nodule detection in SOS screening program.

Authors:  Maurizio Grosso; Roberto Priotto; Donatella Ghirardo; Alberto Talenti; Emanuele Roberto; Luca Bertolaccini; Alberto Terzi; Stéphane Chauvie
Journal:  Radiol Med       Date:  2017-04-20       Impact factor: 3.469

6.  Application of a pixel-shifted linear interpolation technique for reducing the projection number in tomosynthesis imaging.

Authors:  Ryohei Fukui; Junji Shiraishi
Journal:  Radiol Phys Technol       Date:  2018-11-19

7.  Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Authors:  Donghoon Lee; Hee-Joung Kim
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

8.  Digital Tomosynthesis Applications in Pediatric Orthopedic Imaging: A Case Series.

Authors:  Sherwin Chan
Journal:  Mo Med       Date:  2018 Jul-Aug

9.  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

10.  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

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