Literature DB >> 17013593

Detection of small pulmonary nodules in high-field MR at 3 T: evaluation of different pulse sequences using porcine lung explants.

M Regier1, S Kandel, M G Kaul, B Hoffmann, H Ittrich, P M Bansmann, J Kemper, C Nolte-Ernsting, M Heller, G Adam, J Biederer.   

Abstract

To evaluate two MR imaging sequences for the detection of artificial pulmonary nodules inside porcine lung explants. 67 agarose nodules ranging 3-20 mm were injected into ten porcine lungs within a dedicated chest phantom. The signal on T1-weighted images and radiopacity were adjusted by adding 0.125 mmol/l Gd-DTPA and 1.5 g/l of iodine. A T1-weighted three-dimensional gradient-echo (T1-3D-GRE; TR/TE:3.3/1.1 ms, slice:8 mm, flip-angle:10 degrees ) and a T2-weighted half-Fourier fast-spin echo sequence (T2-HF-FSE; TR/TE:2000/66 ms, slice:7 mm, flip-angle:90 degrees ) were applied in axial orientation using a 3-T system (Intera, Philips Medical Systems, Best, The Netherlands), followed by CT (16x0.5 mm) as reference. Nodule sizes and locations were assessed by three blinded observers. In nodules of >10 mm, sensitivity was 100% using 3D-GRE-MRI and 94% using the HF-FSE sequence. For nodules 6-10 mm, the sensitivity of MRI was lower than with CT (3D-GRE:92%; T2-HF-FSE:83%). In lesions smaller than 5 mm, the sensitivity declined to 80% (3D-GRE) and 53% (HF-FSE). Small lesion diameters were overestimated with both sequences, particularly with HF-FSE. This study confirms the feasibility of 3 T-MRI for lung nodule detection. In lesions greater than 5 mm, the sensitivity of the 3D-GRE sequence approximated CT (>90%), while sensitivity and PPV with the HF-FSE sequence were slightly inferior.

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Year:  2006        PMID: 17013593     DOI: 10.1007/s00330-006-0422-z

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


  41 in total

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Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
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3.  Time-resolved echo-shared parallel MRA of the lung: observer preference study of image quality in comparison with non-echo-shared sequences.

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Journal:  Eur Radiol       Date:  2005-06-30       Impact factor: 5.315

4.  Measuring signal-to-noise ratios in MR imaging.

Authors:  L Kaufman; D M Kramer; L E Crooks; D A Ortendahl
Journal:  Radiology       Date:  1989-10       Impact factor: 11.105

5.  Potential cost-effectiveness of one-time screening for lung cancer (LC) in a high risk cohort.

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Journal:  Lung Cancer       Date:  2001-06       Impact factor: 5.705

6.  Small pulmonary lesions detected at CT: clinical importance.

Authors:  R F Munden; R D Pugatch; M J Liptay; D J Sugarbaker; L U Le
Journal:  Radiology       Date:  1997-01       Impact factor: 11.105

7.  Lung MRI at 3.0 T: a comparison of helical CT and high-field MRI in the detection of diffuse lung disease.

Authors:  G Lutterbey; J Gieseke; M von Falkenhausen; N Morakkabati; H Schild
Journal:  Eur Radiol       Date:  2004-11-23       Impact factor: 5.315

8.  Lung cancer screening with low-dose spiral computed tomography.

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Review 9.  MR imaging of the chest: mediastinum and chest wall.

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Authors:  Juan P Wisnivesky; Alvin I Mushlin; Nachum Sicherman; Claudia Henschke
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  11 in total

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Journal:  Eur Radiol       Date:  2013-10-31       Impact factor: 5.315

Review 2.  [Role of MRI for detection and characterization of pulmonary nodules].

Authors:  G Sommer; M Koenigkam-Santos; J Biederer; M Puderbach
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

Review 3.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

Review 4.  Lung and large airway imaging: magnetic resonance imaging versus computed tomography.

Authors:  Mark C Liszewski; Pierluigi Ciet; Abbey J Winant; Edward Y Lee
Journal:  Pediatr Radiol       Date:  2022-05-16

5.  Paediatric CT: the effects of increasing image noise on pulmonary nodule detection.

Authors:  Shonit Punwani; Jie Zhang; Warren Davies; Rebecca Greenhalgh; Paul Humphries
Journal:  Pediatr Radiol       Date:  2007-12-08

6.  MRI of the lung (2/3). Why … when … how?

Authors:  J Biederer; M Beer; W Hirsch; J Wild; M Fabel; M Puderbach; E J R Van Beek
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7.  Diagnostic accuracy of magnetic resonance imaging for the detection of pulmonary nodules simulated in a dedicated porcine chest phantom.

Authors:  Madeleine Bonert; Moritz Schneider; Olga Solyanik; Katharina Hellbach; David Bondesson; Thomas Gaass; Natalie Thaens; Jens Ricke; Thomas Benkert; Julien Dinkel
Journal:  PLoS One       Date:  2020-12-23       Impact factor: 3.240

8.  Free-breathing 3D Stack of Stars GRE (StarVIBE) sequence for detecting pulmonary nodules in 18F-FDG PET/MRI.

Authors:  Nils Martin Bruckmann; Julian Kirchner; Janna Morawitz; Lale Umutlu; Wolfgang P Fendler; Ken Herrmann; Ann-Kathrin Bittner; Oliver Hoffmann; Tanja Fehm; Maike E Lindemann; Christian Buchbender; Gerald Antoch; Lino M Sawicki
Journal:  EJNMMI Phys       Date:  2022-02-07

9.  MRI of pulmonary nodules: technique and diagnostic value.

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10.  The role of dynamic magnetic resonance imaging in the evaluation of pulmonary nodules and masses.

Authors:  Fatih Alper; Adile Tuba Polat Kurt; Yener Aydin; Mesut Ozgokce; Metin Akgun
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