Literature DB >> 9579176

Maximum intensity projection images in the detection of simulated pulmonary nodules by spiral CT.

F V Coakley1, M D Cohen, M S Johnson, R Gonin, M P Hanna.   

Abstract

This study was undertaken to investigate the use of maximum intensity projection (MIP) images in the detection of pulmonary nodules by spiral CT (SCT). 40 pulmonary nodules of high density were created by endobronchial deployment of 2 and 4 mm beads in the peripheral airways of five anesthetized dogs. Standard SCT was performed with 5 mm collimation, pitch 2 and reconstruction of contiguous slices. MIP images were generated from overlapped slabs of seven consecutive 3 mm slices, reconstructed at 2 mm intervals and acquired at pitch 2. Scans were reviewed by six radiologists. The data were modelled using ordinal logistic regression for repeated measures, and the Wald chi 2 statistic used to test if there was a difference in nodule detection and reader confidence level between the two techniques. MIP imaging increased the odds of nodule detection by 2.18 (p = 0.0002). Reader confidence level for nodule detection was significantly higher with MIP images (p < 0.00001). MIP images improve the detection rate for small high density pulmonary nodules and increase reader confidence level, when compared with standard SCT.

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Year:  1998        PMID: 9579176     DOI: 10.1259/bjr.71.842.9579176

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


  11 in total

1.  Value of axial and coronal maximum intensity projection (MIP) images in the detection of pulmonary nodules by multislice spiral CT: comparison with axial 1-mm and 5-mm slices.

Authors:  Ray Valencia; Timm Denecke; Lukas Lehmkuhl; Frank Fischbach; Roland Felix; Friedrich Knollmann
Journal:  Eur Radiol       Date:  2005-08-16       Impact factor: 5.315

2.  Insertion of virtual pulmonary nodules in CT data of the chest: development of a software tool.

Authors:  Hoen-oh Shin; Matthias Blietz; Bernd Frericks; Stefan Baus; Dagmar Savellano; Michael Galanski
Journal:  Eur Radiol       Date:  2006-07-04       Impact factor: 5.315

3.  Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules.

Authors:  Kazuhide Yoneda; Junji Ueno; Sadamitsu Nishihara; Tetsuya Tsujikawa; Naomi Morita; Hideki Otsuka; Kaori Furutani; Hiromu Nishitani; Kazuya Kondo; Yasuhiko Nishioka
Journal:  Radiat Med       Date:  2007-12-25

4.  Pulmonary nodule detection on MDCT images: evaluation of diagnostic performance using thin axial images, maximum intensity projections, and computer-assisted detection.

Authors:  A Jankowski; T Martinelli; J F Timsit; C Brambilla; F Thony; M Coulomb; G Ferretti
Journal:  Eur Radiol       Date:  2007-09-01       Impact factor: 5.315

Review 5.  Screening for lung cancer with low-dose computed tomography: a review of current status.

Authors:  Henry M Marshall; Rayleen V Bowman; Ian A Yang; Kwun M Fong; Christine D Berg
Journal:  J Thorac Dis       Date:  2013-10       Impact factor: 2.895

6.  Multi slice computed tomography in the study of pulmonary metastases.

Authors:  G Angelelli; V Grimaldi; F Spinelli; A Scardapane; A Sardaro
Journal:  Radiol Med       Date:  2008-09-08       Impact factor: 3.469

7.  Use of a Dedicated Server to Perform Coronal and Sagittal Reformations in Trauma Examinations.

Authors:  Jason N Itri; William W Boonn
Journal:  J Digit Imaging       Date:  2010-04-15       Impact factor: 4.056

8.  Survey radiography and computerized tomography imaging of the thorax in female dogs with mammary tumors.

Authors:  Carolina C Otoni; Sheila C Rahal; Luiz C Vulcano; Sérgio M Ribeiro; Khadije Hette; Tatiana Giordano; Danuta P Doiche; Renée L Amorim
Journal:  Acta Vet Scand       Date:  2010-03-09       Impact factor: 1.695

9.  Detection of pulmonary nodules at paediatric CT: maximum intensity projections and axial source images are complementary.

Authors:  Fleur Kilburn-Toppin; Owen J Arthurs; Angela D Tasker; Patricia A K Set
Journal:  Pediatr Radiol       Date:  2013-01-24

10.  Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness.

Authors:  Frank Fischbach; Friedrich Knollmann; Volker Griesshaber; Torsten Freund; Ethem Akkol; Roland Felix
Journal:  Eur Radiol       Date:  2003-05-13       Impact factor: 5.315

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