Literature DB >> 11519541

Detection of pulmonary nodules at spiral CT: comparison of maximum intensity projection sliding slabs and single-image reporting.

S Diederich1, M G Lentschig, T R Overbeck, D Wormanns, W Heindel.   

Abstract

The aim of this study was to compare numbers of pulmonary nodules detected with maximum intensity projections using a slab thickness of 15 mm (MIP 15) and 30 mm (MIP 30) with single image (SI) presentation of chest CT scans. Two readers reviewed MIP 15, MIP 30, and SI presentations of 10-mm (n = 8) and 5-mm collimation (n = 10) helical CT scans and recorded size, location, and diagnostic confidence (definite, probable) of pulmonary nodules. Readers 1 and 2 recorded more nodules with MIP 15 than with SI: 10-mm collimation, 77/64 and 60/56; 5-mm collimation, 64/60 and 40/36; and more "definite" nodules (10-mm collimation: 68/57 and 51/42; 5-mm collimation: 43/36 and 34/30). MIP 15 also detected more nodules than MIP 30 at 10-mm collimation: 77/72 and 60/50; with no major differences at 5-mm collimation: 64/66 and 40/38; and more "definite" nodules (10-mm collimation: 68/58 and 51/36; 5-mm collimation: 43/39 and 34/29). There were only minor differences between SI and MIP 30. Reading time and image number per study were reduced with MIP presentations by a factor of 1.4-5.3. There were no significant differences in the number of nodules detected with SI, MIP 15, and MIP 30, but MIP presentation reduced reporting time and filming cost when compared with SI reporting. For detection of nodules MIP 15 was slightly superior to MIP 30.

Mesh:

Year:  2001        PMID: 11519541     DOI: 10.1007/s003300000787

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


  10 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.  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

3.  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

4.  Combination of computer-aided detection algorithms for automatic lung nodule identification.

Authors:  Niccolò Camarlinghi; Ilaria Gori; Alessandra Retico; Roberto Bellotti; Paolo Bosco; Piergiorgio Cerello; Gianfranco Gargano; Ernesto Lopez Torres; Rosario Megna; Marco Peccarisi; Maria Evelina Fantacci
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-07-08       Impact factor: 2.924

5.  Large scale validation of the M5L lung CAD on heterogeneous CT datasets.

Authors:  E Lopez Torres; E Fiorina; F Pennazio; C Peroni; M Saletta; N Camarlinghi; M E Fantacci; P Cerello
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

6.  An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.

Authors:  Ji-Kui Liu; Hong-Yang Jiang; Meng-di Gao; Chen-Guang He; Yu Wang; Pu Wang; He Ma; Ye Li
Journal:  J Med Syst       Date:  2016-12-28       Impact factor: 4.460

7.  Interval lung cancer after a negative CT screening examination: CT findings and outcomes in National Lung Screening Trial participants.

Authors:  David S Gierada; Paul F Pinsky; Fenghai Duan; Kavita Garg; Eric M Hart; Ella A Kazerooni; Hrudaya Nath; Jubal R Watts; Denise R Aberle
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

8.  The diagnostic contribution of CT volumetric rendering techniques in routine practice.

Authors:  Simone Perandini; N Faccioli; A Zaccarella; Tj Re; R Pozzi Mucelli
Journal:  Indian J Radiol Imaging       Date:  2010-05

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

Review 10.  Management of pulmonary nodules.

Authors:  William McNulty; David Baldwin
Journal:  BJR Open       Date:  2019-04-29
  10 in total

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