2024-11-09202110.5152/dir.2021.203442-s2.0-85112626550https://hdl.handle.net/20.500.14288/3030Purpose: we aimed to investigate the value of magnetic resonance imaging (MRI)- based parameters in differentiating between progressive massive fibrosis (PMF) and lung cancer. Methods: this retrospective study included 60 male patients (mean age, 67.0 +/- 9.0 years) with a history of more than 10 years working in underground coal mines who underwent 1.5 T MRI of thorax due to a lung nodule/mass suspicious for lung cancer on computed tomography. Thirty patients had PMF, and the remaining ones had lung cancer diagnosed histopathologically. The sequences were as follows: coronal single-shot turbo spin echo (SSH-TSE), axial T1- and T2-weighted spin-echo (SE), balanced turbo field echo, T1-weighted high- resolution isotropic volume excitation, free-breathing and respiratory triggered diffusion-weighted imaging (DWI). The patients' demographics, lesion sizes, and MRI-derived parameters were compared between the patients with PMF and lung cancer. Results: Apparent diffusion coefficient (ADC) values of DWI and respiratory triggered DWI, signal intensities on T1-weighted SE, T2-weighted SE, and SSH-TSE imaging were found to be significantly different between the groups (p < 0.001, for all comparisons). Median ADC values of free-breathing DWI in patients with PMF and cancer were 1.25 (0.93-2.60) and 0.76 (0.53-1.00) (x 10(-3) mm(2)/s), respectively. Most PMF lesions were predominantly iso- or hypointense on T1- weighted SE, T2-weighted SE, and SSH-TSE, while most malignant ones predominantly showed high signal intensity on these sequences. Conclusion: MRI study including SE imaging, specially T1-weighted SE imaging and ADC values of DWI can help to distinguish PMF from lung cancer.pdfRadiologyNuclear medicineMedical imagingJournal Article1305-3612https://doi.org/10.5152/dir.2021.20344674747700002Q3NOIR03074