Literature DB >> 18274757

Semi-automated volumetric analysis of lymph node metastases in patients with malignant melanoma stage III/IV--a feasibility study.

M Fabel1, H von Tengg-Kobligk, F L Giesel, L Bornemann, V Dicken, A Kopp-Schneider, C Moser, S Delorme, H-U Kauczor.   

Abstract

Therapy monitoring in oncological patient care requires accurate and reliable imaging and post-processing methods. RECIST criteria are the current standard, with inherent disadvantages. The aim of this study was to investigate the feasibility of semi-automated volumetric analysis of lymph node metastases in patients with malignant melanoma compared to manual volumetric analysis and RECIST. Multislice CT was performed in 47 patients, covering the chest, abdomen and pelvis. In total, 227 suspicious, enlarged lymph nodes were evaluated retrospectively by two radiologists regarding diameters (RECIST), manually measured volume by placement of ROIs and semi-automated volumetric analysis. Volume (ml), quality of segmentation (++/--) and time effort (s) were evaluated in the study. The semi-automated volumetric analysis software tool was rated acceptable to excellent in 81% of all cases (reader 1) and 79% (reader 2). Median time for the entire segmentation process and necessary corrections was shorter with the semi-automated software than by manual segmentation. Bland-Altman plots showed a significantly lower interobserver variability for semi-automated volumetric than for RECIST measurements. The study demonstrated feasibility of volumetric analysis of lymph node metastases. The software allows a fast and robust segmentation in up to 80% of all cases. Ease of use and time needed are acceptable for application in the clinical routine. Variability and interuser bias were reduced to about one third of the values found for RECIST measurements.

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Year:  2008        PMID: 18274757     DOI: 10.1007/s00330-008-0866-4

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


  18 in total

1.  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

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

Authors:  Dag Wormanns; Gerhard Kohl; Ernst Klotz; Anke Marheine; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

3.  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

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

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

5.  Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT part 2. Therapy monitoring of pulmonary metastases.

Authors:  Lars Bornemann; Jan-Martin Kuhnigk; Volker Dicken; Stephan Zidowitz; Bernd Kuemmerlen; Stefan Krass; Heinz-Otto Peitgen; Berthold B Wein; Henning Schubert; Hoen-oh Shin; Dag Wormanns
Journal:  Radiographics       Date:  2005 May-Jun       Impact factor: 5.333

6.  CT assessment of tumour response to treatment: comparison of linear, cross-sectional and volumetric measures of tumour size.

Authors:  S A Sohaib; B Turner; J A Hanson; M Farquharson; R T Oliver; R H Reznek
Journal:  Br J Radiol       Date:  2000-11       Impact factor: 3.039

7.  Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement.

Authors:  Lawrence H Schwartz; Madhu Mazumdar; Wendy Brown; Alex Smith; David M Panicek
Journal:  Clin Cancer Res       Date:  2003-10-01       Impact factor: 12.531

8.  Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response.

Authors:  Jeremy J Erasmus; Gregory W Gladish; Lyle Broemeling; Bradley S Sabloff; Mylene T Truong; Roy S Herbst; Reginald F Munden
Journal:  J Clin Oncol       Date:  2003-07-01       Impact factor: 44.544

9.  Influence of measurement error on assessment of response to anticancer chemotherapy: proposal for new criteria of tumor response.

Authors:  D Warr; S McKinney; I Tannock
Journal:  J Clin Oncol       Date:  1984-09       Impact factor: 44.544

Review 10.  Evaluation of the response to treatment of solid tumours - a consensus statement of the International Cancer Imaging Society.

Authors:  J E Husband; L H Schwartz; J Spencer; L Ollivier; D M King; R Johnson; R Reznek
Journal:  Br J Cancer       Date:  2004-06-14       Impact factor: 7.640

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  17 in total

1.  Semi-automated volumetric analysis of lymph node metastases during follow-up--initial results.

Authors:  Michael Fabel; H Bolte; H von Tengg-Kobligk; L Bornemann; V Dicken; S Delorme; H-U Kauczor; M Heller; J Biederer
Journal:  Eur Radiol       Date:  2010-10-17       Impact factor: 5.315

2.  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

3.  Does running cause metatarsophalangeal joint effusions? A comparison of synovial fluid volumes on MRI in athletes before and after running.

Authors:  Amy-Rose Kingston; Andoni P Toms; Subhadip Ghosh-Ray; Shelley Johnston-Downing
Journal:  Skeletal Radiol       Date:  2009-01-30       Impact factor: 2.199

Review 4.  [Volumetry of metastases from renal cell carcinoma: comparison with the RECIST criteria].

Authors:  A Graser; C R Becker; M F Reiser; C Stief; M Staehler
Journal:  Radiologe       Date:  2008-09       Impact factor: 0.635

Review 5.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

6.  Computer-aided lymph node segmentation in volumetric CT data.

Authors:  Reinhard R Beichel; Yao Wang
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

7.  An international confirmatory study of the prognostic value of early PET/CT in diffuse large B-cell lymphoma: comparison between Deauville criteria and ΔSUVmax.

Authors:  Emmanuel Itti; Michel Meignan; Alina Berriolo-Riedinger; Alberto Biggi; Amanda F Cashen; Pierre Véra; Hervé Tilly; Barry A Siegel; Andrea Gallamini; René-Olivier Casasnovas; Corinne Haioun
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-07       Impact factor: 9.236

8.  Comparison of manual and semi-automatic measuring techniques in MSCT scans of patients with lymphoma: a multicentre study.

Authors:  A J Höink; J Weßling; R Koch; C Schülke; N Kohlhase; L Wassenaar; R M Mesters; M D'Anastasi; M Fabel; A Wulff; D Pinto dos Santos; A Kießling; A Graser; V Dicken; M Karpitschka; L Bornemann; W Heindel; B Buerke
Journal:  Eur Radiol       Date:  2014-09-06       Impact factor: 5.315

9.  Evaluating the agreement between tumour volumetry and the estimated volumes of tumour lesions using an algorithm.

Authors:  Ruediger P Laubender; Julia Lynghjem; Melvin D'Anastasi; Volker Heinemann; Dominik P Modest; Ulrich R Mansmann; Ute Sartorius; Michael Schlichting; Anno Graser
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

Review 10.  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

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