Skip to main content
Log in

Variability of quantitative measurements of metastatic liver lesions: a multi-radiation-dose-level and multi-reader comparison

  • Hepatobiliary
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To evaluate the variability of quantitative measurements of metastatic liver lesions by using a multi-radiation-dose-level and multi-reader comparison.

Methods

Twenty-three study subjects (mean age, 60 years) with 39 liver lesions who underwent a single-energy dual-source contrast-enhanced staging CT between June 2015 and December 2015 were included. CT data were reconstructed with seven different radiation dose levels (ranging from 25 to 100%) on the basis of a single CT acquisition. Four radiologists independently performed manual tumor measurements and two radiologists performed semi-automated tumor measurements. Interobserver, intraobserver, and interdose sources of variability for longest diameter and volumetric measurements were estimated and compared using Wilcoxon rank-sum tests and intraclass correlation coefficients.

Results

Inter- and intraobserver variabilities for manual measurements of the longest diameter were higher compared to semi-automated measurements (p < 0.001 for overall). Inter- and intraobserver variabilities of volume measurements were higher compared to the longest diameter measurement (p < 0.001 for overall). Quantitative measurements were statistically different at < 50% radiation dose levels for semi-automated measurements of the longest diameter, and at 25% radiation dose level for volumetric measurements. The variability related to radiation dose was not significantly different from the inter- and intraobserver variability for the measurements of the longest diameter.

Conclusion

The variability related to radiation dose is comparable to the inter- and intraobserver variability for measurements of the longest diameter. Caution should be warranted in reducing radiation dose level below 50% of a conventional CT protocol due to the potentially detrimental impact on the assessment of lesion response in the liver.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

The corresponding author has full control of the data.

Abbreviations

CI:

Confidence interval

ICC:

Intraclass correlation coefficient

SAFIRE:

Sinogram-affirmed iterative reconstruction

CTDIvol :

Volume CT dose index

References

  1. 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 92:205-216.

    Article  CAS  Google Scholar 

  2. Eisenhauer EA, Therasse P, Bogaerts J, et al.(2009)New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228-247.

    Article  CAS  Google Scholar 

  3. Sargent DJ, Rubinstein L, Schwartz L, et al.(2009)Validation of novel imaging methodologies for use as cancer clinical trial end-points. Eur J Cancer 45:290-299.

    Article  CAS  Google Scholar 

  4. 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 225:416-419.

    Article  Google Scholar 

  5. Mantatzis M, Kakolyris S, Amarantidis K, Karayiannakis A, Prassopoulos P.(2009) Treatment response classification of liver metastatic disease evaluated on imaging. Are RECIST unidimensional measurements accurate? Eur Radiol 19:1809-1816.

    Article  Google Scholar 

  6. Suzuki C, Torkzad MR, Jacobsson H, et al.(2010) Interobserver and intraobserver variability in the response evaluation of cancer therapy according to RECIST and WHO-criteria. Acta Oncol 49:509-514.

    Article  Google Scholar 

  7. Bauknecht HC, Romano VC, Rogalla P, et al. (2010)Intra- and interobserver variability of linear and volumetric measurements of brain metastases using contrast-enhanced magnetic resonance imaging. Invest Radiol 45:49-56.

    Article  Google Scholar 

  8. Bonekamp D, Bonekamp S, Halappa VG, et al. (2014)Interobserver agreement of semi-automated and manual measurements of functional MRI metrics of treatment response in hepatocellular carcinoma. Eur J Radiol 83:487-496.

    Article  Google Scholar 

  9. Dinkel J, Khalilzadeh O, Hintze C, et al.(2013)Inter-observer reproducibility of semi-automatic tumor diameter measurement and volumetric analysis in patients with lung cancer. Lung Cancer 82:76-82.

    Article  CAS  Google Scholar 

  10. Erasmus JJ, Gladish GW, Broemeling L, et al.(2003)Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. J Clin Oncol 21:2574-2582.

    Article  Google Scholar 

  11. Karademir I, Ward E, Peng Y, et al.(2016)Measurements of Hepatic Metastasis on MR Imaging:: Assessment of Interobserver and Intersequence Variability. Acad Radiol 23:132-143.

    Article  Google Scholar 

  12. Krajewski KM, Nishino M, Franchetti Y, Ramaiya NH, Van den Abbeele AD, Choueiri TK.(2014)Intraobserver and interobserver variability in computed tomography size and attenuation measurements in patients with renal cell carcinoma receiving antiangiogenic therapy: implications for alternative response criteria. Cancer-Am Cancer Soc 120:711-721.

    Google Scholar 

  13. McErlean A, Panicek DM, Zabor EC, et al.(2013)Intra- and interobserver variability in CT measurements in oncology. Radiology 269:451-459.

    Article  Google Scholar 

  14. Kuhl CK, Alparslan Y, Schmoee J, et al.(2019)Validity of RECIST Version 1.1 for Response Assessment in Metastatic Cancer: A Prospective, Multireader Study. Radiology 290:349-356.

    PubMed  Google Scholar 

  15. Zhao B, Schwartz LH, Moskowitz CS, et al. (2005)Pulmonary metastases: effect of CT section thickness on measurement--initial experience. Radiology 234:934-939.

    Article  Google Scholar 

  16. Zhao B, Tan Y, Bell DJ, et al.(2013)Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals. Eur J Radiol 82:959-968.

    Article  Google Scholar 

  17. Sakai N, Yabuuchi H, Kondo M, et al.(2015)Volumetric measurement of artificial pure ground-glass nodules at low-dose CT: Comparisons between hybrid iterative reconstruction and filtered back projection. Eur J Radiol 84:2654-2662.

    Article  Google Scholar 

  18. Mileto A, Nelson RC, Larson DG, et al.(2017)Variability in Radiation Dose From Repeat Identical CT Examinations: Longitudinal Analysis of 2851 Patients Undergoing 12,635 Thoracoabdominal CT Scans in an Academic Health System. AJR Am J Roentgenol 208:1285-1296.

    Article  Google Scholar 

  19. Jaffe TA, Yoshizumi TT, Toncheva G, et al.(2009)Radiation dose for body CT protocols: variability of scanners at one institution. AJR Am J Roentgenol 193:1141-1147.

    Article  Google Scholar 

  20. Young S, Kim HJ, Ko MM, Ko WW, Flores C, McNitt-Gray MF.(2015)Variability in CT lung-nodule volumetry: Effects of dose reduction and reconstruction methods. Med Phys 42:2679-2689.

    Article  Google Scholar 

  21. Solomon J, Zhang Y, Marin D, Samei E.(2016)SU-G-206-13: Validating Dose Split: A Method to Image the Same Patient at Multiple Doses with a Single CT Acquisition. Med Phys 43 (6Part25):36–42.

  22. Menzel H, Schibila H, Teunen D.(2000)European Guidelines on Quality Criteria for Computed Tomography. Luxembourg: European Commission Publication.

    Google Scholar 

  23. Sica GT. Bias in research studies.(2006)Radiology 238:780–789.

  24. Matthias Gamer, Jim Lemon and Ian Fellows Puspendra Singh. irr: Various Coefficients of Interrater Reliability and Agreement. R package version 0.84. https://www.r-project.org. Published Jan 26, 2019. Accessed Mar 1, 2019.

  25. Koo TK, Li MY. (2016)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med 15:155–163.

  26. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology. Colon Cancer, Version 3.2019. Published Sept 26, 2019. https://www.nccn.org/professionals/physician_gls/pdf/colon.pdf.

  27. McCollough CH, Chen GH, Kalender W, et al. (2012)Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT. Radiology 264:567-580.

    Article  Google Scholar 

  28. Kanal KM, Chung JH, Wang J, et al. (2011)Image noise and liver lesion detection with MDCT: a phantom study. AJR Am J Roentgenol 197:437-441.

    Article  Google Scholar 

  29. Mileto A, Zamora DA, Alessio AM, et al.(2018)CT Detectability of Small Low-Contrast Hypoattenuating Focal Lesions: Iterative Reconstructions versus Filtered Back Projection. Radiology 289:443-454.

    Article  Google Scholar 

  30. Buerke B, Puesken M, Muter S, et al.(2010)Measurement accuracy and reproducibility of semiautomated metric and volumetric lymph node analysis in MDCT. AJR Am J Roentgenol 195:979-985.

    Article  Google Scholar 

  31. van Kessel CS, van Leeuwen MS, Witteveen PO, Kwee TC, Verkooijen HM, van Hillegersberg R.(2012)Semi-automatic software increases CT measurement accuracy but not response classification of colorectal liver metastases after chemotherapy. Eur J Radiol 81:2543-2549.

    Article  Google Scholar 

  32. Zhao B, James LP, Moskowitz CS, et al.(2009)Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer. Radiology 252:263-272.

    Article  Google Scholar 

  33. Keil S, Plumhans C, Behrendt FF, et al.(2009)Semi-automated quantification of hepatic lesions in a phantom. Invest Radiol 44:82-88.

    Article  Google Scholar 

  34. Fabel M, von Tengg-Kobligk H, Giesel FL, et al.(2008)Semi-automated volumetric analysis of lymph node metastases in patients with malignant melanoma stage III/IV--a feasibility study. Eur Radiol 18:1114-1122.

    Article  CAS  Google Scholar 

  35. Kalkmann J, Ladd SC, de Greiff A, Forsting M, Stattaus J.(2010)Suitability of semi-automated tumor response assessment of liver metastases using a dedicated software package. Rofo 182:581-588.

    Article  CAS  Google Scholar 

  36. Li Q, Liang Y, Huang Q, et al.(2016)Volumetry of low-contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study. Med Phys 43:6608.

    Article  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

MM, DM,YD: Study concepts. MM, DM, JS, ES: Study design. MM, DM, FV, FG: Data acquisition. MM, DM, ES: Quality control of data and algorithms. MM, DM, FV, FG, HVW: Data analysis and interpretation. HVW: Statistical analysis. MM, DM, YD: Manuscript preparation. YD, MM, DM, FV, FG, HVW, HB, BNP, JS, ES, JCR, RCN: Manuscript editing. YD, MM, DM, FV, FG, HVW, HB, BNP, JS, ES, JCR, RCN: Manuscript review.

Corresponding author

Correspondence to Mathias Meyer.

Ethics declarations

Conflict of interest

One author of the study (J.C.R.G.) is an employee of Siemens Healthineers, two authors (D.M. and M.M.) received research support (provision of software tools used in this study) from Siemens Healthineers and MintLesion. All other authors are not employees of or consultants for the industry and had control of any data or information that might present a conflict of interest. No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. All the authors listed have approved the manuscript that is enclosed.

Ethics approval

This study was approved by the institutional review board of Duke University and a waiver of written informed consent was obtained.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ding, Y., Marin, D., Vernuccio, F. et al. Variability of quantitative measurements of metastatic liver lesions: a multi-radiation-dose-level and multi-reader comparison. Abdom Radiol 46, 226–236 (2021). https://doi.org/10.1007/s00261-020-02601-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-020-02601-8

Keywords

Navigation