Rofo 2017; 189(11): 1067-1075
DOI: 10.1055/s-0043-116220
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© Georg Thieme Verlag KG Stuttgart · New York

Response Evaluation of Malignant Liver Lesions After TACE/SIRT: Comparison of Manual and Semi-Automatic Measurement of Different Response Criteria in Multislice CT

Evaluation des Therapieansprechens maligner Leberläsionen nach TACE/SIRT: Vergleich von manuellen und semiautomatischen Messverfahren unterschiedlicher Response-Kriterien im Multislice-CT
Anna Janina Höink
1   Diagnostic and Interventional Radiology, University Hospital Cologne, Germany
,
Christoph Schülke
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
,
Raphael Koch
3   Institute of Biostatistics and Clinical Research (IBKF), University Hospital Münster (UKM), Münster, Germany
,
Annika Löhnert
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
,
Sara Kammerer
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
,
Rasmus Fortkamp
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
,
Walter Heindel
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
,
Boris Buerke
2   Department of Clinical Radiology, University Hospital Münster (UKM), Münster, Germany
› Institutsangaben
Weitere Informationen

Publikationsverlauf

27. Januar 2017

06. Juni 2017

Publikationsdatum:
23. August 2017 (online)

Abstract

Purpose To compare measurement precision and interobserver variability in the evaluation of hepatocellular carcinoma (HCC) and liver metastases in MSCT before and after transarterial local ablative therapies.

Materials and Methods Retrospective study of 72 patients with malignant liver lesions (42 metastases; 30 HCCs) before and after therapy (43 SIRT procedures; 29 TACE procedures). Established (LAD; SAD; WHO) and vitality-based parameters (mRECIST; mLAD; mSAD; EASL) were assessed manually and semi-automatically by two readers. The relative interobserver difference (RID) and intraclass correlation coefficient (ICC) were calculated.

Results The median RID for vitality-based parameters was lower from semi-automatic than from manual measurement of mLAD (manual 12.5 %; semi-automatic 3.4 %), mSAD (manual 12.7 %; semi-automatic 5.7 %) and EASL (manual 10.4 %; semi-automatic 1.8 %). The difference in established parameters was not statistically noticeable (p > 0.05). The ICCs of LAD (manual 0.984; semi-automatic 0.982), SAD (manual 0.975; semi-automatic 0.958) and WHO (manual 0.984; semi-automatic 0.978) are high, both in manual and semi-automatic measurements. The ICCs of manual measurements of mLAD (0.897), mSAD (0.844) and EASL (0.875) are lower. This decrease cannot be found in semi-automatic measurements of mLAD (0.997), mSAD (0.992) and EASL (0.998).

Conclusion Vitality-based tumor measurements of HCC and metastases after transarterial local therapies should be performed semi-automatically due to greater measurement precision, thus increasing the reproducibility and in turn the reliability of therapeutic decisions.

Key points

  • Liver lesion measurements according to EASL and mRECIST are more precise when performed semi-automatically.

  • The higher reproducibility may facilitate a more reliable classification of therapy response.

  • Measurements according to RECIST and WHO offer equivalent precision semi-automatically and manually.

Citation Format

  • Höink AJ, Schülke C, Koch R et al. Response Evaluation of Malignant Liver Lesions After TACE/SIRT: Comparison of Manual and Semi-Automatic Measurement of Different Response Criteria in Multislice CT. Fortschr Röntgenstr 2017; 189: 1067 – 1075

Zusammenfassung

Ziel Vergleich von Messgenauigkeit und Interobserver-Variabilität in der computertomografischen Beurteilung von hepatozellulären Karzinomen (HCC) und Lebermetastasen vor und nach transarteriellen selektiven Therapien.

Material und Methoden Retrospektive Studie an 72 Patienten mit malignen Leberläsionen (42 Metastasen, 30 HCC) vor und nach Therapie mit SIRT (n = 42) oder TACE (n = 29). Etablierte (LAD, SAD, WHO) und Vitalitäts-assoziierte Größenparameter (mRECIST, mLAD, mSAD, EASL) wurden manuell und semiautomatisch von zwei Auswertern bestimmt. Die relative Interobserverdifferenz (RID) und der Intraclass Korrelationskoeffizient (ICC) wurden berechnet.

Ergebnisse Die mediane RID der Vitalitäts-assoziierten Parameter war für die semiautomatischen niedriger als für die manuellen Messverfahren, im Einzelnen: für mLAD 3,4 % gegenüber 12,5 %; für mSAD 5,7 % gegenüber 12,7 %; für EASL 1,8 % gegenüber 10,4 %. Statistisch signifikante Unterschiede zwischen den etablierten Messverfahren bestanden nicht (p > 0.05). Der ICC für LAD (manuell 0,984; semiautomatisch 0,982), SAD (manuell 0,975; semiautomatisch 0,958) und WHO (manuell 0,984; semiautomatisch 0,978) ist für manuelle und semiautomatische Messungen gleichermaßen hoch. Der ICC für manuelle Messungen von mLAD (0,897), mSAD (0,844) und EASL (0,875) ist im Vergleich hierzu niedriger. Diese Reduktion bestand jedoch nicht für die semiautomatischen Messungen von mLAD (0,997), mSAD (0,992) und EASL (0,998).

Schlussfolgerung Die Bestimmung Vitalitäts-assoziierter Größenparameter von HCC und Metastasen nach transarterieller selektiver Therapie ist mit semiautomatischen Messverfahren präziser durchzuführen als mit manuellen Messverfahren. Die hieraus resultierende höhere Reproduzierbarkeit kann die Verlässlichkeit der therapeutischen Entscheidungen verbessern.

Kernaussagen

  • Die Größenbestimmung von Leberläsionen nach EASL und mRECIST ist semiautomatisch präziser als manuell.

  • Die höhere Präzision ermöglicht eine verlässlichere Klassifikation des Therapieansprechens.

  • Die Größenbestimmung nach RECIST und WHO ist semiautomatisch und manuell vergleichbar präzise.

 
  • References

  • 1 Primrose JN. Surgery for colorectal liver metastases. Br J Cancer 2010; 27: 1313-1318
  • 2 Raza A, Sood GK. Hepatocellular carcinoma review: current treatment, and evidence-based medicine. World J Gastroenterol 2014; 20: 4115-4127
  • 3 Theysohn JM, Ertle J, Müller S. et al. Hepatic volume changes after lobar selective internal radiation therapy (SIRT) of hepatocellular carcinoma. Clin Radiol 2014; 69: 172-178
  • 4 Van de Wiele C, Maes A, Brugman E. et al. SIRT of liver metastases: physiological and pathophysiological considerations. Eur J Nucl Med Mol Imaging 2012; 39: 1646-1655
  • 5 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
  • 6 World Health Organization. WHO handbook for reporting results for cancer treatment. Geneva: 1979 http://www.whqlibdoc.who.int/offset/WHO_OFFSET_48.pdf
  • 7 Tirkes T, Hollar MA, Tann M. et al. Response criteria in oncologic imaging: review of traditional and new criteria. Radiographics 2013; 33: 1323-1341
  • 8 Layer G, Stahl T, Hoffend J. Bildgebende Beurteilung des Therapieansprechens unter Chemotherapie. Radiologie up2date 2013; 13: 221-239
  • 9 Bruix J, Sherman M, Llovet JM. et al. Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European Association for the Study of the Liver. J Hepatol 2001; 35: 421-430
  • 10 Lencioni R, Llovet JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 2010; 30: 52-60
  • 11 Weßling J, Puesken M, Koch R. et al. MSCT follow-up in malignant lymphoma: comparison of manual linear measurements with semi-automated lymph node analysis for therapy response classification. Rofo 2012; 184: 795-804
  • 12 Buerke B, Gerss J, Puesken M. et al. Usefulness of semi-automatic volumetry compared to established linear measurements in predicting lymph node metastases in MSCT. Acta Radiol 2011; 52: 540-546
  • 13 Buerke B, Puesken M, Müter S. et al. Measurement accuracy and reproducibility of semiautomated metric and volumetric lymph node analysis in MDCT. Am J Roentgenol 2010; 195: 979-985
  • 14 Fetzer A, Meinzer HP, Heimann T. Interaktive 3D Segmentierung auf Basis einer optimierten Oberflächeninterpolation mittels radialer Basisfunktionen. In: (eds) Tolxdorff T. et al. Bildverarbeitung für die Medizin 2012, Informatik aktuell. Berlin Heidelberg: Springer; 183-188
  • 15 James K, Eisenhauer E, Christian M. et al. Measuring response in solid tumours: unidimensional versus bidimensional measurement. J Natl Cancer Inst 1999; 91: 523-528
  • 16 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
  • 17 Zhao B, Schwartz LH, Moskowitz CS. et al. Lung cancer: computerised quantification of tumour response – initial results. Radiology 2006; 241: 892-898
  • 18 Höink AJ, Weßling J, Koch R. et al. Comparison of manual and semi-automatic measuring techniques in MSCT scans of patients with lymphoma: a multicentre study. Eur Radiol 2014; 24: 2709-2718
  • 19 Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin 1979; 86: 3420-3428
  • 20 Wulff AM, Bolte H, Fischer S. et al. Lung, liver and lymph node metastases in follow-up MSCT: comprehensive volumetric assessment of lesion size changes. Rofo 2012; 184: 820-828
  • 21 Höink AJ, Heindel W, Buerke B. Radiological Evaluation of the Therapeutic Response of Malignant Diseases: Status Quo, Innovative Developments and Requirements for Radiology. Rofo 2014; 186: 927-936
  • 22 Bolte H, Jahnke T, Schäfer FK. et al. Interobserver-variability of lung nodule volumetry considering different segmentation algorithms and observer training levels. Eur J Radiol 2007; 64: 285-295
  • 23 Dinkel J, Khalilzadeh O, Hintze C. et al. Inter-observer reproducibility of semi-automatic tumour diameter measurement and volumetric analysis in patients with lung cancer. Lung Cancer 2013; 82: 76-82
  • 24 Wang Z, Chapiro J, Schernthaner R. et al. Multimodality 3D Tumour Segmentation in HCC Patients Treated with TACE. Acad Radiol 2015; 22: 840-845
  • 25 Tacher V, Lin M, Duran R. et al. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology 2016; 278: 275-284
  • 26 Chapiro J, Lin M, Duran R. et al. Assessing tumour response after locoregional liver cancer therapies: the role of 3D MRI. Expert Rev Anticancer Ther 2015; 15: 199-205
  • 27 Yan J, Schwartz LH, Zhao B. Semiautomatic segmentation of liver metastases onumetric CT images. Med Phys 2015; 42: 6283
  • 28 Bonekamp D, Bonekamp S, Halappa VG. et al. Interobserver agreement of semi-automated and manual measurements of functional MRI metrics of treatment response in hepatocellular carcinoma. Eur J Radiol 2014; 83: 487-496
  • 29 Budjan J, Sauter EA, Morelli JN. et al. Semi-automatic Volumetric Measurement of Treatment Response in Hepatocellular Carcinoma After Trans-arterial Chemoembolization. Anticancer Res 2016; 36: 4353-4358
  • 30 Telegrafo M, Dilorenzo G, Di Giovanni G. et al. Follow-up of multicentric HCC according to the mRECIST criteria: role of 320-Row CT with semi-automatic 3D analysis software for evaluating the response to systemic therapy. G Chir 2017; 37: 206-210
  • 31 Dankerl P, Cavallaro A, Uder M. et al. [Automatic segmentation and annotation in radiology]. Radiologe 2014; 54: 265-270
  • 32 Moltz JH, D'Anastasi M, Kiessling A. et al. Workflow-centred evaluation of an automatic lesion tracking software for chemotherapy monitoring by CT. Eur Radiol 2012; 22: 2759-2767