Application of whole-body MRI to detect the recurrence of lung cancer

Research output: Contribution to journalJournal articlepeer-review

Abstract

Although some therapeutics provide an opportunity for cure, recurrence is a major obstacle to achieve a complete remission for lung cancers. Therefore, precise assessment of lung cancers has been a task with challenge. In recent years, integration of positron emission tomography and computed tomography (PET-CT) and whole-body magnetic resonance imaging (WB-MRI) have been introduced as an alternative to standard multimodality imaging strategies and are now increasingly applied to various malignancies. However, there is little information on the surveillance capability of WB-MRI in patients with lung cancers. We aimed to investigate the clinical potential of WB-MRI as a novel surveillance modality after curative treatments for lung cancers, comparing it with PET-CT. Sixty two consecutive patients with lung malignancy who underwent both WB-MRI and PET-CT were selected to assess the recurrent malignant lesions. The clinical data including radiologic and pathologic findings were collected and analyzed retrospectively. On each lymph node station, the ability of WB-MRI to detect malignant lesions significantly correlated with that of PET-CT (γ= 0.86; P<.01). The correlation coefficient ranged from 0.999 to 1 for assessing distant metastases from lung cancers by two modalities (P<.01). Based on the pathologic confirmation, both modalities showed an equivalent diagnostic accuracy (PET-CT: sensitivity 85.71%, specificity 47.27% versus WB-MRI: sensitivity 85.71%, specificity 56.25%). This study demonstrates the clinical potential of WB-MRI, together with PET-CT, as a novel surveillance modality for lung cancers after curative treatments.

Original languageEnglish
Pages (from-to)1439-1445
Number of pages7
JournalMagnetic Resonance Imaging
Volume30
Issue number10
DOIs
StatePublished - 2012.12

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

Keywords

  • Lung cancer
  • PET-CT
  • Whole-body MRI

Quacquarelli Symonds(QS) Subject Topics

  • Medicine
  • Biological Sciences

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