Aggressiveness-guided nodule management for lung cancer screening in Europe-justification for follow-up intervals and definition of growth.

Journal: European radiology
Published Date:

Abstract

The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer screening with low-dose CT builds on existing nodule management guidelines but puts a stronger focus on lesion aggressiveness and measurement error. Key objectives included finding a compromise between the overall number of follow-up examinations, avoiding a major stage shift, and reducing the risk for overtreatment. Nodule management categories at baseline are chosen depending on the size of a solid nodule or the solid component of a subsolid or cystic nodule, with suspicious morphology upgrading risk to the next higher category. Higher risk categories mandate shorter follow-up times or diagnostic workup. Volume is the preferred size measure, with diameter measurements as a fallback if segmentation for volumetry is inaccurate at visual control. Nodule aggressiveness at follow-up is estimated from growth rate, calculated as volume doubling time (VDT), or yearly diameter change. Calculation of growth rate, however, is strongly affected by measurement variability, with large error margins for short follow-up and slower growing lesions. Growth thresholds were therefore set so that rapidly growing lesions can be identified while still small, while unnecessary workups for benign or slow-growing lesions could be kept low. New lesions that are retrospectively visible on earlier scans are managed according to their growth rate. New nodules not visible on earlier scans are followed after 3 months if they have a volume of ≥ 30 mm. KEY POINTS: Question This work strives to reduce follow-up examinations while preventing major stage shift and overtreatment. It provides nodule management based on estimated nodule aggressiveness. Findings Calculation of the growth rate of pulmonary nodules is strongly affected by measurement variability, with large error margins for short follow-up and slower growing lesions. Clinical relevance Growth thresholds that trigger management are adjusted to the follow-up time so that rapidly growing lesions can be identified while still being small while unnecessary workups for benign or slow-growing lesions can be reduced.

Authors

  • Mathias Prokop
    Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Cornelia Schaefer-Prokop
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Colin Jacobs
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Annemiek Snoeckx
    Department of Radiology, Antwerp University Hospital and University of Antwerp, Antwerp, Belgium.
  • Jürgen Biederer
    Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
  • Thomas Frauenfelder
  • Fergus Gleeson
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Hans-Ulrich Kauczor
    Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
  • Anagha P Parkar
    Department of Radiology, Haraldsplass Deaconess Hospital, Bergen, Norway. apparkar@gmail.com.
  • Rozemarijn Vliegenthart
    University of Groningen, University Medical Center Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
  • Marie-Pierre Revel
    Department of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).
  • Mario Silva
    Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Helmut Prosch
    Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.

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