Literature DB >> 17901958

Computer-assisted detection of pulmonary embolism: performance evaluation in consensus with experienced and inexperienced chest radiologists.

Christoph Engelke1, Stephan Schmidt, Annemarie Bakai, Florian Auer, Katharina Marten.   

Abstract

The value of a computer-aided detection tool (CAD) as second reader in combination with experienced and inexperienced radiologists for the diagnosis of acute pulmonary embolism (PE) was assessed prospectively. Computed tomographic angiography (CTA) scans (64 x 0.6 mm collimation; 61.4 mm/rot table feed) of 56 patients (31 women, 34-89 years, mean = 66 years) with suspected PE were analysed by two experienced (R1, R2) and two inexperienced (R3, R4) radiologists for the presence and distribution of emboli using a five-point confidence rating, and by CAD. Informed consent was obtained from all patients. Results were compared with an independent reference standard. Inter-observer agreement was calculated by kappa, confidence assessed by ROC analysis. A total of 1,116 emboli [within mediastinal (n = 72), lobar (n = 133), segmental (n = 465) and subsegmental arteries (n = 455)] were included. CAD detected 343 emboli (sensitivity = 30.74%, correct-positive rate = 6.13/patient; false-positive rate = 4.1/patient). Inter-observer agreement was good (R1, R2: kappa = 0.84, 95% CI = 0.81-0.87; R3, R4: kappa = 0.79, 95% CI = 0.76-0.81). Extended inter-observer agreement was higher in mediastinal and lobar than in segmental and subsegmental arteries (kappa = 0.84-0.86 and kappa = 0.51-0.58 for mediastinal/lobar and segmental/subsegmental arteries, respectively P < 0.05). Agreement between experienced and inexperienced readers was improved by CAD (kappa = 0.60-0.62 and kappa = 0.69-0.72 before and after CAD consensus, respectively P < 0.05). The experienced outperformed the inexperienced readers (Az = 0.95, 0.93, 0.89 and 0.86 for R1-4, respectively, P < 0.05). CAD significantly improved overall performances of readers 3 and 4 (Az = 0.86 for R3, R4 and Az = 0.89 for R3, R4 with CAD, P < 0.05), by enhancing sensitivities in segmental/subsegmental arteries. CAD improved experienced readers' sensitivities in segmental/subsegmental arteries (sens. = 0.93 and 0.90 for R1, R2 before and 0.97 and 0.94 for R1, R2 after CAD consensus, P < 0.05), without significant improvement of their overall performances (P > 0.05). Particularly inexperienced readers benefit from consensus with CAD data, greatly improving detection of segmental and subsegmental emboli. This system is advocated as a second reader.

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Year:  2007        PMID: 17901958     DOI: 10.1007/s00330-007-0770-3

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


  46 in total

1.  Computerized detection of pulmonary nodules on CT scans.

Authors:  S G Armato; M L Giger; C J Moran; J T Blackburn; K Doi; H MacMahon
Journal:  Radiographics       Date:  1999 Sep-Oct       Impact factor: 5.333

2.  Clinically suspected pulmonary embolism: utility of spiral CT.

Authors:  K I Kim; N L Müller; J R Mayo
Journal:  Radiology       Date:  1999-03       Impact factor: 11.105

3.  Differences in the rate of anticoagulant complications between routine practice and controlled prospective trials.

Authors:  P Egermayer
Journal:  J Intern Med       Date:  2001-09       Impact factor: 8.989

4.  Acute pulmonary embolism on MDCT of the chest: prediction of cor pulmonale and short-term patient survival from morphologic embolus burden.

Authors:  Christoph Engelke; Ernst J Rummeny; Katharina Marten
Journal:  AJR Am J Roentgenol       Date:  2006-05       Impact factor: 3.959

5.  Right ventricular enlargement on chest computed tomography: prognostic role in acute pulmonary embolism.

Authors:  Rene Quiroz; Nils Kucher; U Joseph Schoepf; Florian Kipfmueller; Scott D Solomon; Philip Costello; Samuel Z Goldhaber
Journal:  Circulation       Date:  2004-05-17       Impact factor: 29.690

6.  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

7.  Measurement of the aorta and its branches with helical CT.

Authors:  G D Rubin; D S Paik; P C Johnston; S Napel
Journal:  Radiology       Date:  1998-03       Impact factor: 11.105

8.  Acute pulmonary embolism: role of helical CT in 164 patients with intermediate probability at ventilation-perfusion scintigraphy and normal results at duplex US of the legs.

Authors:  G R Ferretti; J L Bosson; P D Buffaz; D Ayanian; C Pison; F Blanc; F Carpentier; P Carpentier; M Coulomb
Journal:  Radiology       Date:  1997-11       Impact factor: 11.105

9.  Pulmonary embolism: validation of spiral CT angiography in 149 patients.

Authors:  A B van Rossum; P M Pattynama; E R Ton; F E Treurniet; J W Arndt; B van Eck; G J Kieft
Journal:  Radiology       Date:  1996-11       Impact factor: 11.105

10.  Pulmonary embolism: prospective comparison of spiral CT with ventilation-perfusion scintigraphy.

Authors:  J R Mayo; M Remy-Jardin; N L Müller; J Remy; D F Worsley; C Hossein-Foucher; J S Kwong; M J Brown
Journal:  Radiology       Date:  1997-11       Impact factor: 11.105

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  13 in total

1.  Stand-alone performance of a computer-assisted detection prototype for detection of acute pulmonary embolism: a multi-institutional comparison.

Authors:  R Wittenberg; J F Peters; M Weber; R J Lely; L P J Cobben; M Prokop; C M Schaefer-Prokop
Journal:  Br J Radiol       Date:  2011-12-13       Impact factor: 3.039

2.  [Computer-assisted diagnostic procedure for multislice computed tomography for assessment of the pulmonary arterial circulation. Clinical relevance].

Authors:  A Malich; D Hentrich; A Hansch; J Böttcher; U Teichgräber
Journal:  Radiologe       Date:  2012-04       Impact factor: 0.635

Review 3.  Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review.

Authors:  Heang-Ping Chan; Lubomir Hadjiiski; Chuan Zhou; Berkman Sahiner
Journal:  Acad Radiol       Date:  2008-05       Impact factor: 3.173

4.  Computer-aided detection of pulmonary embolism at CT pulmonary angiography: can it improve performance of inexperienced readers?

Authors:  Kevin N Blackmon; Charles Florin; Luca Bogoni; Joshua W McCain; James D Koonce; Heon Lee; Gorka Bastarrika; Christian Thilo; Philip Costello; Marcos Salganicoff; U Joseph Schoepf
Journal:  Eur Radiol       Date:  2011-01-13       Impact factor: 5.315

5.  Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography.

Authors:  Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Smita Patel; Jean Kuriakose; Lubomir M Hadjiiski; Jun Wei; Ella A Kazerooni
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

6.  A computer-aided algorithm to quantitatively predict lymph node status on MRI in rectal cancer.

Authors:  D M L Tse; N Joshi; E M Anderson; M Brady; F V Gleeson
Journal:  Br J Radiol       Date:  2012-09       Impact factor: 3.039

7.  Evaluation of computer-aided detection and dual energy software in detection of peripheral pulmonary embolism on dual-energy pulmonary CT angiography.

Authors:  Choong Wook Lee; Joon Beom Seo; Jae-Woo Song; Mi-Young Kim; Ha Young Lee; Yang Shin Park; Eun Jin Chae; Yu Mi Jang; Namkug Kim; Bernard Krauss
Journal:  Eur Radiol       Date:  2010-08-01       Impact factor: 5.315

8.  Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.

Authors:  Nima Tajbakhsh; Jae Y Shin; Michael B Gotway; Jianming Liang
Journal:  Med Image Anal       Date:  2019-08-06       Impact factor: 8.545

9.  Computer-assisted detection of pulmonary embolism: evaluation of pulmonary CT angiograms performed in an on-call setting.

Authors:  Rianne Wittenberg; Joost F Peters; Jeroen J Sonnemans; Mathias Prokop; Cornelia M Schaefer-Prokop
Journal:  Eur Radiol       Date:  2009-10-28       Impact factor: 5.315

10.  Computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): performance evaluation with independent data sets.

Authors:  Chuan Zhou; Heang-Ping Chan; Berkman Sahiner; Lubomir M Hadjiiski; Aamer Chughtai; Smita Patel; Jun Wei; Philip N Cascade; Ella A Kazerooni
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

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