Lung, liver and lymph node metastases in follow-up MSCT: Comprehensive volumetric assessment of lesion size changes

RoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren

Volumn 184, Issue 9, 2012, Pages 820-828

  Wulff, A M ^a   Bolte, H ^b   Fischer, S ^a   Freitag Wolf, S ^c   Soza, G ^d   Tietjen, C ^d   Biederer, J ^a   Heller, M ^a   Fabel, M ^a  

^a UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^b Klinik und Poliklinik für Nuklearmedizin   (Germany)

^c UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^d Imaging and IT Division Computed Tomography   (Germany)

Author keywords

computed tomography; liver metastasis; lung metastasis; lymph node metastasis; volumetry

Indexed keywords

ARTICLE; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; FOLLOW UP; HUMAN; IMAGE QUALITY; LIVER INJURY; LIVER METASTASIS; LUNG LESION; LUNG METASTASIS; LYMPH NODE; LYMPH NODE METASTASIS; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; LIVER NEOPLASMS; LUNG NEOPLASMS; LYMPHATIC METASTASIS; MALE; MIDDLE AGED; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84865726887     PISSN: 14389029     EISSN: 14389010     Source Type: Journal    
DOI: 10.1055/s-0032-1312860     Document Type: Article

References (30)

1. Eisenhauer EA, Therasse P, Bogaerts J et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer: 2009; 45 228 247
2. Gebauer B, Bohnsack O, Riess H. Radiologische Evaluation des Tumoransprechens in onkologischen Therapiestudien (Tumor Response Evaluation). Fortschr Röntgenstr: 2011; 183 695 703
3. Schwartz LH, Mazumdar M, Brown W et al. Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement. Clin Cancer Res: 2003; 9 4318 4323 (Pubitemid 37248386)
4. Erasmus JJ, Gladish GW, Broemeling L et al. Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. J Clin Oncol: 2003; 21 2574 2582 (Pubitemid 46606340)
5. Wormanns D, Kohl G, Klotz E et al. Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility. Eur Radiol: 2004; 14 86 92 (Pubitemid 38181058)
6. Hein PA, Romano VC, Rogalla P et al. Linear and volume measurements of pulmonary nodules at different CT dose levels - intrascan and interscan analysis. Fortschr Röntgenstr: 2009; 181 24 31
7. Vogel MN, Vonthein R, Schmücker S et al. Lungenrundherdvolumetrie mit optimiertem Segmentierungsalgorithmus. Genauigkeit bei verschiedenen Schichtdicken verglichen mit ein- und zweidimensionalen Messungen. Fortschr Röntgenstr: 2008; 180 791 797
8. Keil S, Behrendt FF, Stanzel S et al. 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. Eur Radiol: 2008; 18 2456 2465
9. Puesken M, Buerke B, Fortkamp R et al. Liver Lesion Segmentation in MSCT: Effect of Slice Thickness on Segmentation Quality, Measurement Precision and Interobserver Variability. Fortschr Röntgenstr: 2011; 183 372 380
10. Rothe JH, Steffen IG, Lehmkuhl L et al. Volume measurement of liver metastases using multidetector computed tomography: comparison of lesion diameter and volume segmentation - a phantom study. Fortschr Röntgenstr: 2010; 182 1082 1090
11. Keil S, Behrendt FF, Stanzel S et al. RECIST and WHO criteria evaluation of cervical, thoracic and abdominal lymph nodes in patients with malignant lymphoma: manual versus semi-automated measurement on standard MDCT slices. Fortschr Röntgenstr: 2009; 181 888 895
12. Fabel M, von Tengg-Kobligk H, Giesel FL et al. Semi-automated volumetric analysis of lymph node metastases in patients with malignant melanoma stage III/IV - a feasibility study. Eur Radiol: 2008; 18 1114 1122
13. Fabel M, Bolte H, von Tengg-Kobligk H et al. Semi-automated volumetric analysis of lymph node metastases during follow-up-initial results. Eur Radiol: 2011; 21 683 692
14. Bauknecht H, Romano VC, Rogalla P et al. Intra- and interobserver variability of linear and volumetric measurements of brain metastases using contrast-enhanced magnetic resonance imaging. Invest Radiol: 2010; 45 49 56
15. Kostis WJ, Yankelevitz DF, Reeves AP et al. Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT. Radiology: 2004; 231 446 452 (Pubitemid 38552903)
16. Heussel CP, Meier S, Wittelsberger S et al. Quantitative CT-Verlaufskontrolle von Lebermalignomen nach RECIST und WHO im Vergleich zur Volumetrie. Fortschr Röntgenstr: 2007; 179 958 964 (Pubitemid 47596421)
17. Kalkmann J, Ladd S, de Greiff A et al. Suitability of Semi-Automated Tumor Response Assessment of Liver Metastases using a Dedicated Software Package. Fortschr Röntgenstr: 2010; 182 581 588
18. Moltz JH, Bornemann L, Kuhnigk J et al. Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans. IEEE J Sel Top Signal Process: 2009; 3 122 134
19. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet: 1986; 1 307 310 (Pubitemid 16134762)
20. Buerke B, Puesken M, Beyer F et al. Semiautomatic lymph node segmentation in multislice computed tomography: impact of slice thickness on segmentation quality, measurement precision, and interobserver variability. Invest Radiol: 2010; 45 82 88
21. Bolte H, Riedel C, Müller-Hülsbeck S et al. Precision of computer-aided volumetry of artificial small solid pulmonary nodules in ex vivo porcine lungs. Br J Radiol: 2007; 80 414 421 (Pubitemid 47322228)
22. de Hoop B, Gietema H, van Ginneken B et al. A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations. Eur Radiol: 2009; 19 800 808
23. Hahn S, Heusner T, Zhou X et al. Computer-aided detection (CAD) and assessment of malignant lesions in the liver and lung using a novel PET/CT software tool: initial results. Fortschr Röntgenstr: 2010; 182 243 247
24. Ashraf H, de Hoop B, Shaker SB et al. Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably. Eur Radiol: 2010; 20 1878 1885
25. Bolte H, Jahnke T, Schäfer FKW et al. Interobserver-variability of lung nodule volumetry considering different segmentation algorithms and observer training levels. Eur J Radiol: 2007; 64 285 295 (Pubitemid 47593063)
26. Bolte H, Riedel C, Jahnke T et al. Reproducibility of computer-aided volumetry of artificial small pulmonary nodules in ex vivo porcine lungs. Invest Radiol: 2006; 41 28 35 (Pubitemid 44378276)
27. Keil S, Plumhans C, Behrendt FF et al. Semi-automated quantification of hepatic lesions in a phantom. Invest Radiol: 2009; 44 82 88
28. Keil S, Plumhans C, Nagy IA et al. Dose reduction for semi-automated volumetry of hepatic metastasis in MDCT studies. Invest Radiol: 2010; 45 77 81
29. Ray S, Hagge R, Gillen M et al. Comparison of two-dimensional and three-dimensional iterative watershed segmentation methods in hepatic tumor volumetrics. Med Phys: 2008; 35 5869 5881
30. Puesken M, Buerke B, Gerss J et al. Prediction of lymph node manifestations in malignant lymphoma: significant role of volumetric compared with established metric lymph node analysis in multislice computed tomography. J Comput Assist Tomogr: 2010; 34 564 569