Literature DB >> 15526207

Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT.

Dag Wormanns1, Karl Ludwig, Florian Beyer, Walter Heindel, Stefan Diederich.   

Abstract

The purpose of this study was to assess the effectiveness of double reading to increase the sensitivity of lung nodule detection at standard-dose (SDCT) and low-dose multirow-detector CT (LDCT). SDCT (100 mAs effective tube current) and LDCT (20 mAs) of nine patients with pulmonary metastases were obtained within 5 min using four-row detector CT. Softcopy images reconstructed with 5-mm slice thickness were read by three radiologists independently. Images with 1.25-mm slice thickness served as the gold standard. Sensitivity was assessed for single readers and combinations. The effectiveness of double reading was expressed as the increase of sensitivity. Average sensitivity for detection of 390 nodules (size 3.9+/-3.2 mm) for single readers was 0.63 (SDCT) and 0.64 (LDCT). Double reading significantly increased sensitivity to 0.74 and 0.79, respectively. No significant difference between sensitivity at SDCT and LDCT was observed. The percentage of nodules detected by all three readers concordantly was 52% for SDCT and 47% for LDCT. Although double reading increased the detection rate of pulmonary nodules from 63% to 74-79%, a considerable proportion of nodules remained undetected. No difference between sensitivities at LDCT and SDCT for detection of small nodules was observed.

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Year:  2004        PMID: 15526207     DOI: 10.1007/s00330-004-2527-6

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


  22 in total

1.  Pulmonary nodules: experimental and clinical studies at low-dose CT.

Authors:  S Diederich; H Lenzen; R Windmann; Z Puskas; T M Yelbuz; S Henneken; T Klaiber; M Eameri; N Roos; P E Peters
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

3.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.

Authors:  Katharina Marten; Tobias Seyfarth; Florian Auer; Edzard Wiener; Andreas Grillhösl; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-07-03       Impact factor: 5.315

4.  Pulmonary nodule detection: low-dose versus conventional CT.

Authors:  H Rusinek; D P Naidich; G McGuinness; B S Leitman; D I McCauley; G A Krinsky; K Clayton; H Cohen
Journal:  Radiology       Date:  1998-10       Impact factor: 11.105

5.  Low-dose CT of the lungs: preliminary observations.

Authors:  D P Naidich; C H Marshall; C Gribbin; R S Arams; D I McCauley
Journal:  Radiology       Date:  1990-06       Impact factor: 11.105

6.  Early Lung Cancer Action Project: overall design and findings from baseline screening.

Authors:  C I Henschke; D I McCauley; D F Yankelevitz; D P Naidich; G McGuinness; O S Miettinen; D M Libby; M W Pasmantier; J Koizumi; N K Altorki; J P Smith
Journal:  Lancet       Date:  1999-07-10       Impact factor: 79.321

7.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers.

Authors:  Stefan Diederich; Dag Wormanns; Michael Semik; Michael Thomas; Horst Lenzen; Nikolaus Roos; Walter Heindel
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

8.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.

Authors:  M Kaneko; K Eguchi; H Ohmatsu; R Kakinuma; T Naruke; K Suemasu; N Moriyama
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

9.  Screening for early lung cancer with low-dose spiral computed tomography: results of annual follow-up examinations in asymptomatic smokers.

Authors:  Stefan Diederich; Michael Thomas; Michael Semik; Horst Lenzen; Nikolaus Roos; Anushe Weber; Walter Heindel; Dag Wormanns
Journal:  Eur Radiol       Date:  2004-01-16       Impact factor: 5.315

10.  Spiral CT of the chest: comparison of cine and film-based viewing.

Authors:  S E Seltzer; P F Judy; D F Adams; F L Jacobson; P Stark; R Kikinis; R G Swensson; S Hooton; B Head; U Feldman
Journal:  Radiology       Date:  1995-10       Impact factor: 11.105

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  40 in total

1.  Investigation of optimal viewing size for detecting nodular ground-glass opacity on high-resolution computed tomography with cine-mode display.

Authors:  Michihiro Yamaguchi; Yuichi Bessho; Tatsuro Inoue; Yoshiyuki Asai; Tomoshige Matsumoto; Kenya Murase
Journal:  Radiol Phys Technol       Date:  2010-08-19

2.  Evaluation of a method of computer-aided detection (CAD) of pulmonary nodules with computed tomography.

Authors:  G Foti; N Faccioli; M D'Onofrio; A Contro; T Milazzo; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2010-06-23       Impact factor: 3.469

3.  Solitary pulmonary nodule: detection and management.

Authors:  S Diederich; M Das
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

4.  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

5.  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

6.  Accuracy of automated volumetry of pulmonary nodules across different multislice CT scanners.

Authors:  Marco Das; Julia Ley-Zaporozhan; H A Gietema; Andre Czech; Georg Mühlenbruch; Andreas H Mahnken; Markus Katoh; Annemarie Bakai; Marcos Salganicoff; Stefan Diederich; Mathias Prokop; Hans-Ulrich Kauczor; Rolf W Günther; Joachim E Wildberger
Journal:  Eur Radiol       Date:  2007-01-06       Impact factor: 5.315

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

Authors:  M Regier; S Kandel; M G Kaul; B Hoffmann; H Ittrich; P M Bansmann; J Kemper; C Nolte-Ernsting; M Heller; G Adam; J Biederer
Journal:  Eur Radiol       Date:  2006-09-30       Impact factor: 5.315

8.  Neglectable benefit of searching for incidental findings in the Dutch-Belgian lung cancer screening trial (NELSON) using low-dose multidetector CT.

Authors:  J C M van de Wiel; Y Wang; D M Xu; H J van der Zaag-Loonen; E J van der Jagt; R J van Klaveren; M Oudkerk
Journal:  Eur Radiol       Date:  2007-01-06       Impact factor: 5.315

9.  The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth".

Authors:  Samuel G Armato; Rachael Y Roberts; Michael F McNitt-Gray; Charles R Meyer; Anthony P Reeves; Geoffrey McLennan; Roger M Engelmann; Peyton H Bland; Denise R Aberle; Ella A Kazerooni; Heber MacMahon; Edwin J R van Beek; David Yankelevitz; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

10.  The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.

Authors:  Michael F McNitt-Gray; Samuel G Armato; Charles R Meyer; Anthony P Reeves; Geoffrey McLennan; Richie C Pais; John Freymann; Matthew S Brown; Roger M Engelmann; Peyton H Bland; Gary E Laderach; Chris Piker; Junfeng Guo; Zaid Towfic; David P-Y Qing; David F Yankelevitz; Denise R Aberle; Edwin J R van Beek; Heber MacMahon; Ella A Kazerooni; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

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