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Published in: European Radiology 7/2009

01-07-2009 | Oncology

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

Authors: Michael Mantatzis, Stylianos Kakolyris, Kyriakos Amarantidis, Anastasios Karayiannakis, Panos Prassopoulos

Published in: European Radiology | Issue 7/2009

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Abstract

The purpose of this study was to evaluate the accuracy of unidimensional measurements (response evaluation criteria in solid tumors, RECIST) compared with volumetric measurements in patients with liver metastases undergoing chemotherapy. Forty-four patients with newly diagnosed liver lesions underwent three MRI examinations at treatment initiation, during chemotherapy, and immediately post-treatment. Measurements based on RECIST guidelines and volume calculations were performed on the “target” lesions (TLs). The two methods were in agreement in 64/77 of patients and 253/301 of individual lesions classification in response categories (“good” agreement, Cohen kappa = 0.735 and 0.741, respectively). In 16.88% of the comparisons the two methods stratified patients to a different response category; 27.6% of TLs did not follow the response category of the patient in whom lesions were located. The actual volume of TLs differs from the calculated volume of a sphere with the same diameter. Our study supports the use of volumetric techniques that may overcome certain disadvantages of unidimensional measurements.
Literature
1.
go back to reference Hopper KD, Kasales CJ, Eggli KD et al (1996) The impact of 2D versus 3D quantitation of tumor bulk determination on current methods of assessing response to treatment. J Comput Assist Tomogr 20:930–937PubMedCrossRef Hopper KD, Kasales CJ, Eggli KD et al (1996) The impact of 2D versus 3D quantitation of tumor bulk determination on current methods of assessing response to treatment. J Comput Assist Tomogr 20:930–937PubMedCrossRef
2.
go back to reference Therasse P, Arbuck SG, Eisenhauer EA et al (2000) New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 92:205–216PubMedCrossRef Therasse P, Arbuck SG, Eisenhauer EA et al (2000) New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 92:205–216PubMedCrossRef
3.
go back to reference Padhani AR, Ollivier L (2001) The RECIST (response evaluation criteria in solid tumors) criteria: implications for diagnostic radiologists. Br J Radiol 74:983–986PubMed Padhani AR, Ollivier L (2001) The RECIST (response evaluation criteria in solid tumors) criteria: implications for diagnostic radiologists. Br J Radiol 74:983–986PubMed
4.
go back to reference Husband JE (1996) Monitoring tumour response. Eur Radiol 6:775–785PubMed Husband JE (1996) Monitoring tumour response. Eur Radiol 6:775–785PubMed
5.
go back to reference World Health Organization (1979) WHO handbook for reporting results of cancer treatment. WHO Publications Centre USA, Albany, NY World Health Organization (1979) WHO handbook for reporting results of cancer treatment. WHO Publications Centre USA, Albany, NY
6.
go back to reference Prasad SR, Jhaveri KS, Saini S, Hahn PF, Halpern EF, Sumner JE (2002) CT tumor measurement for therapeutic response assessment: comparison of unidimensional, bidimensional, and volumetric techniques initial observations. Radiology 225:416–419PubMedCrossRef Prasad SR, Jhaveri KS, Saini S, Hahn PF, Halpern EF, Sumner JE (2002) CT tumor measurement for therapeutic response assessment: comparison of unidimensional, bidimensional, and volumetric techniques initial observations. Radiology 225:416–419PubMedCrossRef
7.
go back to reference Tran LN, Brown MS, Goldin JG et al (2004) Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography. Acad Radiol 11:1355–1360. doi:10.1016/j.acra.2004.09.004 PubMedCrossRef Tran LN, Brown MS, Goldin JG et al (2004) Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography. Acad Radiol 11:1355–1360. doi:10.​1016/​j.​acra.​2004.​09.​004 PubMedCrossRef
8.
go back to reference Heussel CP, Meier S, Wittelsberger S, Gotte H, Mildenberger P, Kauczor HU (2007) Follow-up CT measurement of liver malignoma according to RECIST and WHO vs. volumetry. Rofo 179:958–964. doi:10.1055/s-2007-963171 PubMed Heussel CP, Meier S, Wittelsberger S, Gotte H, Mildenberger P, Kauczor HU (2007) Follow-up CT measurement of liver malignoma according to RECIST and WHO vs. volumetry. Rofo 179:958–964. doi:10.​1055/​s-2007-963171 PubMed
10.
go back to reference Altman DG (1991) Practical statistics for medical research. Chapman and Hall, London Altman DG (1991) Practical statistics for medical research. Chapman and Hall, London
11.
go back to reference Streiner DL, Norman GR (2003) Health measurement scales: a practical guide to their development and use. Oxford University Press, Oxford Streiner DL, Norman GR (2003) Health measurement scales: a practical guide to their development and use. Oxford University Press, Oxford
12.
go back to reference Miller AB, Hoogstraten B, Staquet M, Winkler A (1981) Reporting results of cancer treatment. Cancer 47:207–214PubMedCrossRef Miller AB, Hoogstraten B, Staquet M, Winkler A (1981) Reporting results of cancer treatment. Cancer 47:207–214PubMedCrossRef
13.
go back to reference Gehan EA, Tefft MC (2000) Will there be resistance to the RECIST (response evaluation criteria in solid tumors)? J Natl Cancer Inst 92:179–181PubMedCrossRef Gehan EA, Tefft MC (2000) Will there be resistance to the RECIST (response evaluation criteria in solid tumors)? J Natl Cancer Inst 92:179–181PubMedCrossRef
15.
go back to reference Mazonakis M, Damilakis J, Maris T, Prassopoulos P, Gourtsoyiannis N (2002) Comparison of two volumetric techniques for estimating liver volume using magnetic resonance imaging. J Magn Reson Imaging 15:557–563. doi:10.1002/jmri.10109 PubMedCrossRef Mazonakis M, Damilakis J, Maris T, Prassopoulos P, Gourtsoyiannis N (2002) Comparison of two volumetric techniques for estimating liver volume using magnetic resonance imaging. J Magn Reson Imaging 15:557–563. doi:10.​1002/​jmri.​10109 PubMedCrossRef
18.
go back to reference Keil S, Behrendt FF, Stanzel S et al (2008) 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 18:2456–2465. doi:10.1007/s00330-008-1050-6 PubMedCrossRef Keil S, Behrendt FF, Stanzel S et al (2008) 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 18:2456–2465. doi:10.​1007/​s00330-008-1050-6 PubMedCrossRef
21.
go back to reference Marten K, Auer F, Schmidt S, Kohl G, Rummeny EJ, Engelke C (2006) Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria. Eur Radiol 16:781–790. doi:10.1007/s00330-005-0036-x PubMedCrossRef Marten K, Auer F, Schmidt S, Kohl G, Rummeny EJ, Engelke C (2006) Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria. Eur Radiol 16:781–790. doi:10.​1007/​s00330-005-0036-x PubMedCrossRef
23.
go back to reference Goldie JH, Coldman AJ (1979) A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate. Cancer Treat Rep 63:1727–1733PubMed Goldie JH, Coldman AJ (1979) A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate. Cancer Treat Rep 63:1727–1733PubMed
24.
go back to reference Marten K, Auer F, Schmidt S, Rummeny EJ, Engelke C (2007) Automated CT volumetry of pulmonary metastases: the effect of a reduced growth threshold and target lesion number on the reliability of therapy response assessment using RECIST criteria. Eur Radiol 17:2561–2571. doi:10.1007/s00330-007-0642-x PubMedCrossRef Marten K, Auer F, Schmidt S, Rummeny EJ, Engelke C (2007) Automated CT volumetry of pulmonary metastases: the effect of a reduced growth threshold and target lesion number on the reliability of therapy response assessment using RECIST criteria. Eur Radiol 17:2561–2571. doi:10.​1007/​s00330-007-0642-x PubMedCrossRef
25.
go back to reference Sohaib SA, Turner B, Hanson JA, Farquharson M, Oliver RT, Reznek RH (2000) CT assessment of tumour response to treatment: comparison of linear, cross-sectional and volumetric measures of tumour size. Br J Radiol 73:1178–1184PubMed Sohaib SA, Turner B, Hanson JA, Farquharson M, Oliver RT, Reznek RH (2000) CT assessment of tumour response to treatment: comparison of linear, cross-sectional and volumetric measures of tumour size. Br J Radiol 73:1178–1184PubMed
26.
go back to reference Gurland J, Johnson RO (1966) Case for using only maximum diameter in measuring tumors. Cancer Chemother Rep 50:119–124PubMed Gurland J, Johnson RO (1966) Case for using only maximum diameter in measuring tumors. Cancer Chemother Rep 50:119–124PubMed
27.
go back to reference Kamel IR, Bluemke DA (2002) Magnetic resonance imaging of the liver: assessing response to treatment. Top Magn Reson Imaging 13:191–200PubMedCrossRef Kamel IR, Bluemke DA (2002) Magnetic resonance imaging of the liver: assessing response to treatment. Top Magn Reson Imaging 13:191–200PubMedCrossRef
28.
go back to reference del Frate C, Bazzocchi M, Mortele KJ et al (2002) Detection of liver metastases: comparison of gadobenate dimeglumine-enhanced and ferumoxides-enhanced MR imaging examinations. Radiology 225:766–772PubMedCrossRef del Frate C, Bazzocchi M, Mortele KJ et al (2002) Detection of liver metastases: comparison of gadobenate dimeglumine-enhanced and ferumoxides-enhanced MR imaging examinations. Radiology 225:766–772PubMedCrossRef
30.
go back to reference Kim YK, Ko SW, Hwang SB, Kim CS, Yu HC (2006) Detection and characterization of liver metastases: 16-slice multidetector computed tomography versus superparamagnetic iron oxide-enhanced magnetic resonance imaging. Eur Radiol 16:1337–1345. doi:10.1007/s00330-005-0140-y PubMedCrossRef Kim YK, Ko SW, Hwang SB, Kim CS, Yu HC (2006) Detection and characterization of liver metastases: 16-slice multidetector computed tomography versus superparamagnetic iron oxide-enhanced magnetic resonance imaging. Eur Radiol 16:1337–1345. doi:10.​1007/​s00330-005-0140-y PubMedCrossRef
31.
go back to reference Tanimoto A, Wakabayashi G, Shinmoto H, Nakatsuka S, Okuda S, Kuribayashi S (2005) Superparamagnetic iron oxide-enhanced MR imaging for focal hepatic lesions: a comparison with CT during arterioportography plus CT during hepatic arteriography. J Gastroenterol 40:371–380. doi:10.1007/s00535-005-1553-8 PubMedCrossRef Tanimoto A, Wakabayashi G, Shinmoto H, Nakatsuka S, Okuda S, Kuribayashi S (2005) Superparamagnetic iron oxide-enhanced MR imaging for focal hepatic lesions: a comparison with CT during arterioportography plus CT during hepatic arteriography. J Gastroenterol 40:371–380. doi:10.​1007/​s00535-005-1553-8 PubMedCrossRef
32.
go back to reference Kubaska S, Sahani DV, Saini S, Hahn PF, Halpern E (2001) Dual contrast enhanced magnetic resonance imaging of the liver with superparamagnetic iron oxide followed by gadolinium for lesion detection and characterization. Clin Radiol 56:410–415. doi:10.1053/crad.2000.0673 PubMedCrossRef Kubaska S, Sahani DV, Saini S, Hahn PF, Halpern E (2001) Dual contrast enhanced magnetic resonance imaging of the liver with superparamagnetic iron oxide followed by gadolinium for lesion detection and characterization. Clin Radiol 56:410–415. doi:10.​1053/​crad.​2000.​0673 PubMedCrossRef
33.
go back to reference Kim MJ, Kim JH, Chung JJ, Park MS, Lim JS, Oh YT (2003) Focal hepatic lesions: detection and characterization with combination gadolinium- and superparamagnetic iron oxide-enhanced MR imaging. Radiology 228:719–726. doi:10.1148/radiol.2283020735 PubMedCrossRef Kim MJ, Kim JH, Chung JJ, Park MS, Lim JS, Oh YT (2003) Focal hepatic lesions: detection and characterization with combination gadolinium- and superparamagnetic iron oxide-enhanced MR imaging. Radiology 228:719–726. doi:10.​1148/​radiol.​2283020735 PubMedCrossRef
35.
go back to reference Blakeborough A, Ward J, Wilson D et al (1997) Hepatic lesion detection at MR imaging: a comparative study with four sequences. Radiology 203:759–765PubMed Blakeborough A, Ward J, Wilson D et al (1997) Hepatic lesion detection at MR imaging: a comparative study with four sequences. Radiology 203:759–765PubMed
36.
go back to reference Takahama K, Amano Y, Hayashi H, Ishihara M, Kumazaki T (2003) Detection and characterization of focal liver lesions using superparamagnetic iron oxide-enhanced magnetic resonance imaging: comparison between ferumoxides-enhanced T1-weighted imaging and delayed-phase gadolinium-enhanced T1-weighted imaging. Abdom Imaging 28:525–530PubMedCrossRef Takahama K, Amano Y, Hayashi H, Ishihara M, Kumazaki T (2003) Detection and characterization of focal liver lesions using superparamagnetic iron oxide-enhanced magnetic resonance imaging: comparison between ferumoxides-enhanced T1-weighted imaging and delayed-phase gadolinium-enhanced T1-weighted imaging. Abdom Imaging 28:525–530PubMedCrossRef
Metadata
Title
Treatment response classification of liver metastatic disease evaluated on imaging. Are RECIST unidimensional measurements accurate?
Authors
Michael Mantatzis
Stylianos Kakolyris
Kyriakos Amarantidis
Anastasios Karayiannakis
Panos Prassopoulos
Publication date
01-07-2009
Publisher
Springer-Verlag
Published in
European Radiology / Issue 7/2009
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-009-1327-4

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