Literature DB >> 22960243

Multiple diagnostic task performance in CT examination of the chest.

K M Schartz1, K S Berbaum, M T Madsen, B H Thompson, B F Mullan, R T Caldwell, B Hammett, A N Ellingson, E A Franken.   

Abstract

OBJECTIVES: In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task.
METHODS: 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis.
RESULTS: An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved.
CONCLUSIONS: CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.

Entities:  

Mesh:

Year:  2012        PMID: 22960243      PMCID: PMC3615394          DOI: 10.1259/bjr/18244135

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


  16 in total

1.  A contaminated binormal model for ROC data: Part II. A formal model.

Authors:  D D Dorfman; K S Berbaum
Journal:  Acad Radiol       Date:  2000-06       Impact factor: 3.173

2.  Automated detection of lung nodules in CT scans: preliminary results.

Authors:  S G Armato; M L Giger; H MacMahon
Journal:  Med Phys       Date:  2001-08       Impact factor: 4.071

3.  Computer-aided detection schemes: the effect of limiting the number of cued regions in each case.

Authors:  Bin Zheng; Joseph K Leader; Gordon Abrams; Betty Shindel; Victor Catullo; Walter F Good; David Gur
Journal:  AJR Am J Roentgenol       Date:  2004-03       Impact factor: 3.959

4.  Search and nonsearch protocols for radiographic consultation.

Authors:  R G Swensson; G H Theodore
Journal:  Radiology       Date:  1990-12       Impact factor: 11.105

5.  Omissions in radiology: faulty search or stringent reporting criteria?

Authors:  R G Swensson; S J Hessel; P G Herman
Journal:  Radiology       Date:  1977-06       Impact factor: 11.105

6.  Influence of clinical history upon detection of nodules and other lesions.

Authors:  K S Berbaum; E A Franken; D D Dorfman; T J Barloon
Journal:  Invest Radiol       Date:  1988-01       Impact factor: 6.016

7.  Measuring observer performance by ROC analysis. Indications and complications.

Authors:  K S Berbaum; D D Dorfman; E A Franken
Journal:  Invest Radiol       Date:  1989-03       Impact factor: 6.016

8.  The value of searching films without specific preconceptions.

Authors:  R G Swensson; S J Hessel; P G Herman
Journal:  Invest Radiol       Date:  1985 Jan-Feb       Impact factor: 6.016

9.  Radiographic interpretation with and without search: visual search aids the recognition of chest pathology.

Authors:  R G Swensson; S J Hessel; P G Herman
Journal:  Invest Radiol       Date:  1982 Mar-Apr       Impact factor: 6.016

10.  The influence of clinical history on visual search with single and multiple abnormalities.

Authors:  K S Berbaum; E A Franken; K L Anderson; D D Dorfman; W E Erkonen; G P Farrar; J J Geraghty; T J Gleason; M E MacNaughton; M E Phillips
Journal:  Invest Radiol       Date:  1993-03       Impact factor: 6.016

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.