Comparison of parameters for diffusion-weighted intravoxel incoherent motion imaging in lung cancer patients with different histopathological subtypes / 中华肿瘤杂志

ABSTRACT

Objective@#To explore the intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) model in lung cancer patients with different histopathological subtypes.@*Methods@#A total of 105 patients were recruited, including 68 cases of adenocarcinoma, 22 cases of squamous carcinoma and 15 cases of small cell carcinoma. All patients underwent magnetic resonance examination consisting of axial IVIM-DWI sequence on a 3.0 T whole body scanner, then the standard ADC (sADC), diffusion coefficient (D), pseudo-diffusion coefficient(D*), perfusion fraction (f), distributed diffusion coefficient (DDC) and water diffusion heterogeneity index (α) were calculated for each lesion within the IVIM-DWI model.@*Results@#Mean sADC values were (1.45±0.26) ×10-3mm2/s, (1.36±0.48) ×10-3mm2/s and (1.35±0.40) ×10-3mm2/s for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean f values were (59.75±16.37) %, (47.41±18.69) % and (48.96±19.88) % for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean α values were 0.72±0.13 for adenocarcinoma, 0.62±0.12 for squamous carcinoma, and 0.63±0.11 for small cell carcinoma, respectively. Statistical analyses indicated that the sADC, f and α values among different histopathological subtypes were significantly different (P<0.05), while there was no significant difference in D, D* and DDC values (P>0.05). Furthermore, the comparison showed that the sADC, f and α values of patients with adenocarcinoma were significantly higher than those with squamous carcinoma or small cell carcinoma (P<0.05), whereas there was no significant difference between squamous carcinoma group and small cell carcinoma group (P>0.05).@*Conclusions@#The sADC, f and α values derived from the IVIM-DWI model can be used for comprehensive non-invasive evaluation of diffusion, perfusion and heterogeneity of microenvironment in lung cancer patients. And the IVIM-DWI model may be a promising tool for predicting histopathological subtypes of lung cancer.