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Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?

  • ET Scholten
  • , PA Jong
  • , B de Hoop
  • , R van Klaveren
  • , S van de Vorst
  • , M Oudkerk
  • , R Vliegenthart
  • , Harry de Koning
  • , Carlijn van der Aalst
  • , René Vernhout
  • , HJM Groen
  • , JWJ Lammers
  • , B van Ginneken
  • , C Jacobs
  • , WPTM Mali
  • , Nanda Horeweg
  • , C Weenink
  • , E Thunnissen
  • , M Prokop
  • , HA Gietema
  • External organisation

Research output: Contribution to journalArticleAcademicpeer-review

120 Citations (Scopus)

Abstract

Pulmonary subsolid nodules (SSNs) have a high likelihood of malignancy, but are often indolent. A conservative treatment approach may therefore be suitable. The aim of the current study was to evaluate whether close follow-up of SSNs with computed tomography may be a safe approach. The study population consisted of participants of the Dutch-Belgian lung cancer screening trial (Nederlands Leuvens Longkanker Screenings Onderzoek; NELSON). All SSNs detected during the trial were included in this analysis. Retrospectively, all persistent SSNs and SSNs that were resected after first detection were segmented using dedicated software, and maximum diameter, volume and mass were measured. Mass doubling time (MDT) was calculated. In total 7135 volunteers were included in the current analysis. 264 (3.3%) SSNs in 234 participants were detected during the trial. 147 (63%) of these SSNs in 126 participants disappeared at follow-up, leaving 117 persistent or directly resected SSNs in 108 (1.5%) participants available for analysis. The median follow-up time was 95 months (range 20-110 months). 33 (28%) SSNs were resected and 28 of those were (pre-) invasive. None of the non-resected SSNs progressed into a clinically relevant malignancy. Persistent SSNs rarely developed into clinically manifest malignancies unexpectedly. Close follow-up with computed tomography may be a safe option to monitor changes.
Original languageUndefined/Unknown
Pages (from-to)765-773
Number of pages9
JournalEuropean Respiratory Journal
Volume45
Issue number3
DOIs
Publication statusPublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research programs

  • EMC MM-04-42-02
  • EMC NIHES-02-65-01

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