Skip to main navigation Skip to search Skip to main content

Whole-body MR imaging vs. FDG-PET: Comparison of accuracy of M-stage diagnosis for lung cancer patients

  • Yoshiharu Ohno
  • , Hisanobu Koyama
  • , Munenobu Nogami
  • , Daisuke Takenaka
  • , Takeshi Yoshikawa
  • , Masahiro Yoshimura
  • , Yoshikazu Kotani
  • , Yoshihiro Nishimura
  • , Takanori Higashino
  • , Kazuro Sugimura

Research output: Contribution to journalReview articlepeer-review

Abstract

Purpose: To conduct a prospective comparison of the accuracy of whole-body MR imaging and positron emission tomography (PET) with fluorine-18 deoxyglucose (FDG) (FDG-PET) to assess the M-stage in lung cancer patients. Materials and Methods: A total of 90 consecutive lung cancer patients (mean age = 68 years) underwent whole-body MR imaging and FDG-PET as well as other standard radiological imaging procedures before and after treatment. Probabilities of metastases on whole-body MR imaging and FDG-PET were assessed by using 5-point scoring systems on a per-site basis and on a per-patient basis. Receiver operating characteristic (ROC) curve analysis was used to compare diagnostic capabilities. Sensitivity, specificity, and accuracy were also compared by using the McNemar's test on a per-site and per-patient basis. Results: For assessment of head and neck metastases and bone metastases, accuracies of whole-body MR imaging (95.0% and 94.8%, respectively) were significantly higher than those of FDG-PET (89.1% and 88.2%, respectively; P < 0.05). For assessment of the M-stage on a per-patient basis, accuracy of whole-body MR imaging (80.0%) was also significantly higher than that of FDG-PET (73.3%; P < 0.05). Conclusion: Whole-body MR imaging is an accurate diagnostic technique and may be considered at least as effective as FDG-PET for assessment of the M-stage of lung cancer patients.

Original languageEnglish
Pages (from-to)498-509
Number of pages12
JournalJournal of Magnetic Resonance Imaging
Volume26
Issue number3
DOIs
Publication statusPublished - 09-2007
Externally publishedYes

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

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Whole-body MR imaging vs. FDG-PET: Comparison of accuracy of M-stage diagnosis for lung cancer patients'. Together they form a unique fingerprint.

Cite this