Preliminary comparison of diffusion-weighted MRI and PET/CT in predicting histological type and malignancy of lung

Li-Peng Liu1, Xin-Xin Zhang1, Long-Biao Cui2

  • 1Thoracic Cancer Center, Department of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.

Abstract

Insights

Diffusion-weighted MRI (DW MRI) and 18F-FDG PET/CT show similar, limited ability in diagnosing lung cancer subtypes. These advanced imaging techniques offer comparable insights into lung cancer evaluation and histological typing.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Diffusion-weighted magnetic resonance imaging (DW MRI) and 18F-FDG PET/CT show potential in predicting lung cancer's histological type, malignancy, and gene mutations.
  • Emerging evidence suggests these advanced imaging modalities may aid in characterizing lung tumors.

Purpose of the Study:

  • To compare the diagnostic equivalence of DW MRI and 18F-FDG PET/CT in lung cancer diagnosis and evaluation.
  • To assess the utility of DW MRI versus PET/CT in differentiating lung cancer subtypes and malignancy.

Main Methods:

  • DW MRI and 18F-FDG PET/CT were performed on 15 pathologically confirmed lung cancer patients prior to therapy.
  • Key metrics assessed included apparent diffusion coefficient (ADC), ratio of ADC (rADC), and maximal standardized uptake value (SUVmax).

Main Results:

  • ADC, rADC, and SUVmax did not significantly differ across various lung cancer histological types.
  • The sensitivity, specificity, and accuracy of ADC, rADC, and SUVmax were comparable for detecting adenocarcinoma and squamous cell carcinoma.
  • While Ki-67 score showed no correlation with imaging metrics, significant positive correlations were observed between ADC and rADC, and ADC and SUVmax.

Conclusions:

  • Both DW MRI and 18F-FDG PET/CT demonstrated similar, limited capabilities in predicting lung cancer histological types and malignancy.
  • This study provides insights for developing novel diagnostic and therapeutic strategies for lung cancer utilizing DW MRI.