Literature DB >> 18523775

Semi-automated measurement of hyperdense, hypodense and heterogeneous hepatic metastasis on standard MDCT slices. Comparison of semi-automated and manual measurement of RECIST and WHO criteria.

Sebastian Keil1, Florian F Behrendt, Sven Stanzel, Michael Sühling, Alexander Koch, Jhenee Bubenzer, Georg Mühlenbruch, Andreas H Mahnken, Rolf W Günther, Marco Das.   

Abstract

As semi-automated measurement would be desirable for lesion quantification and therapy-response control, the purpose of this study was to compare semi-automated measurements with manual assessment of different types of hepatic metastases. Seventy-six patients with known liver metastases were analysed. All of them underwent contrast-enhanced 16-MDCT (16 x 0.75 mm collimation, 120 kV, 0.5 s rotation time, 160 mAs(eff)) for evaluation of follow-up status. On the basis of standard reconstructed 5-mm slices (in 4-mm increments), each lesion was quantified based on RECIST and WHO criteria using a semi-automated software tool (Syngo Oncology) and also manually by an experienced radiologist. Results from the software were compared to manual measurements. Statistical analysis was performed applying the concordance correlation coefficient, and results were represented graphically in Bland-Altman plots. A total of 52 hyperdense, 57 hypodense and 56 heterogeneous metastases were found and correctly measured by the software. All three lesion types revealed a strong correlation agreement between measurement techniques [RECIST diameter: 0.93 (hyperdense), 0.95(hypodense), 0.94 (heterogeneous); WHO area: 0.95, 0.98, 0.93]. Semi-automatic measurement of hyperdense, hypodense and heterogeneous liver metastases showed reliable results on standard axial reconstructions in comparison to manual quantification.

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Year:  2008        PMID: 18523775     DOI: 10.1007/s00330-008-1050-6

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


  24 in total

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2.  Small pulmonary nodules: volume measurement at chest CT--phantom study.

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3.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

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Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

4.  Shape-constraint region growing for delineation of hepatic metastases on contrast-enhanced computed tomograph scans.

Authors:  Binsheng Zhao; Lawrence H Schwartz; Li Jiang; Jane Colville; Chaya Moskowitz; Liang Wang; Robert Leftowitz; Fan Liu; John Kalaigian
Journal:  Invest Radiol       Date:  2006-10       Impact factor: 6.016

5.  Reproducibility of computer-aided volumetry of artificial small pulmonary nodules in ex vivo porcine lungs.

Authors:  Hendrik Bolte; Christian Riedel; Thomas Jahnke; Nevin Inan; Sandra Freitag; Gerhard Kohl; Martin Heller; Jürgen Biederer
Journal:  Invest Radiol       Date:  2006-01       Impact factor: 6.016

6.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

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Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Small pulmonary nodules: evaluation with repeat CT--preliminary experience.

Authors:  D F Yankelevitz; R Gupta; B Zhao; C I Henschke
Journal:  Radiology       Date:  1999-08       Impact factor: 11.105

9.  Colorectal liver metastases: CT, MR imaging, and PET for diagnosis--meta-analysis.

Authors:  Shandra Bipat; Maarten S van Leeuwen; Emile F I Comans; Milan E J Pijl; Patrick M M Bossuyt; Aeilko H Zwinderman; Jaap Stoker
Journal:  Radiology       Date:  2005-08-11       Impact factor: 11.105

10.  Surgery for colorectal cancer metastatic to the liver. Optimizing the results of treatment.

Authors:  K Hughes; J Scheele; P H Sugarbaker
Journal:  Surg Clin North Am       Date:  1989-04       Impact factor: 2.741

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  12 in total

1.  Automated measurement of lymph nodes: a phantom study.

Authors:  Sebastian Keil; Cedric Plumhans; Florian F Behrendt; Sven Stanzel; Michael Suehling; Georg Mühlenbruch; Andreas H Mahnken; Rolf W Günther; Marco Das
Journal:  Eur Radiol       Date:  2008-12-24       Impact factor: 5.315

2.  Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations.

Authors:  Avi Ben-Cohen; Eyal Klang; Idit Diamant; Noa Rozendorn; Michal Marianne Amitai; Hayit Greenspan
Journal:  J Med Imaging (Bellingham)       Date:  2015-08-19

3.  Comparison of semi-automated and manual methods to measure the volume of liver tumours on MDCT images.

Authors:  Léna Dubus; Mathilde Gayet; Magaly Zappa; Liliane Abaleo; Aurélie De Cooman; Guillaume Orieux; Valérie Vilgrain
Journal:  Eur Radiol       Date:  2010-12-05       Impact factor: 5.315

4.  Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods.

Authors:  Jia-Yin Zhou; Damon W K Wong; Feng Ding; Sudhakar K Venkatesh; Qi Tian; Ying-Yi Qi; Wei Xiong; Jimmy J Liu; Wee-Kheng Leow
Journal:  Eur Radiol       Date:  2010-02-16       Impact factor: 5.315

5.  Treatment response classification of liver metastatic disease evaluated on imaging. Are RECIST unidimensional measurements accurate?

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Journal:  Eur Radiol       Date:  2009-02-24       Impact factor: 5.315

Review 6.  [Automated procedure for volumetric measurement of metastases: estimation of tumor burden].

Authors:  M Fabel; H Bolte
Journal:  Radiologe       Date:  2008-09       Impact factor: 0.635

7.  Comparison of semi-automatic volumetric VX2 hepatic tumor segmentation from cone beam CT and multi-detector CT with histology in rabbit models.

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8.  MDCT evaluation of the growth kinetics of serous and benign mucinous cystic neoplasms of the pancreas.

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Review 9.  RECIST revised: implications for the radiologist. A review article on the modified RECIST guideline.

Authors:  Els L van Persijn van Meerten; Hans Gelderblom; Johan L Bloem
Journal:  Eur Radiol       Date:  2009-12-22       Impact factor: 5.315

10.  Tumor volume as an alternative response measurement for imatinib treated GIST patients.

Authors:  Gaia Schiavon; Alessandro Ruggiero; Patrick Schöffski; Bronno van der Holt; Dave J Bekers; Karel Eechoute; Vincent Vandecaveye; Gabriel P Krestin; Jaap Verweij; Stefan Sleijfer; Ron H J Mathijssen
Journal:  PLoS One       Date:  2012-11-02       Impact factor: 3.240

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