Literature DB >> 17606351

Comparison of manual and automated size measurements of lung metastases on MDCT images: potential influence on therapeutic decisions.

Sandra Pauls1, Christian Kürschner, Ekta Dharaiya, Rainer Muche, Stefan A Schmidt, Stefan Krüger, Hans-Jürgen Brambs, Andrik J Aschoff.   

Abstract

PURPOSE: The goal of this study was to evaluate the influence of automated measurement of diameter, area, and volume from chest CT scans on therapeutic decisions of lung nodules as compared to manual 2-D measurements. PATIENTS AND
METHOD: The retrospective study involved 25 patients with 75 lung metastases. Contrast enhanced CT scans (16 row) of the lung were performed three times during chemotherapy with a mean time interval of 67.9 days between scans. In each patient, three metastases were evaluated (n=225). Automatic measurements were compared to manual assessment for the following parameters: diameter, area, and density. The influence on the therapeutic decisions was evaluated using the RECIST criteria.
RESULTS: The maximum diameter measured by the automatic application was on an average 27% (S.D. 39; CI: 0.22-0.32; p<0.0001) higher than the maximum diameter with manual assessment, and the differences depended on metastases size. Based on diameter calculation, manual and automated assessment disagreed in up to 32% of therapeutic decisions. Volumetric assessment tended towards more changes in therapy as compared to diameter calculation. The calculation of mean transversal area of metastases was 36% (S.D. 0.305; CI: -0.40 to -0.32; p<0.0001) less with automated measurement. Therapeutic strategy would be changed in up to 25.7% of nodules using automated area calculation. Automated assessment of nodules' area and volume could influence the therapeutic decisions in up to 51.4% of all nodules. Density of the nodules was not validated to determine the influence on therapeutic decisions.
CONCLUSION: There is a discrepancy between the manual and automated size measurement of lung metastases which could be significant.

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Year:  2007        PMID: 17606351     DOI: 10.1016/j.ejrad.2007.05.022

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Inter- and intrascanner variability of pulmonary nodule volumetry on low-dose 64-row CT: an anthropomorphic phantom study.

Authors:  X Xie; M J Willemink; Y Zhao; P A de Jong; P M A van Ooijen; M Oudkerk; M J W Greuter; R Vliegenthart
Journal:  Br J Radiol       Date:  2013-07-24       Impact factor: 3.039

2.  Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably.

Authors:  H Ashraf; B de Hoop; S B Shaker; A Dirksen; K S Bach; H Hansen; M Prokop; J H Pedersen
Journal:  Eur Radiol       Date:  2010-03-20       Impact factor: 5.315

3.  Reduction in growth threshold for pulmonary metastases: an opportunity for volumetry and its impact on treatment decisions.

Authors:  M N Vogel; S Schmücker; O Maksimovic; J Hartmann; C D Claussen; M Horger
Journal:  Br J Radiol       Date:  2012-07       Impact factor: 3.039

  3 in total

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