The value of spectral CT imaging in the differential diagnosis of adenocarcinoma, squamous carcinoma and inflammatory myofibroblastic tumor / 中华放射学杂志

ABSTRACT

Objective To explore the application value of spectral CT quantitative analysis in differentiating adenocarcinoma or squamous carcinoma from inflammatory myofibroblastic tumor (IMT). Methods A total of 115 patients with 62 adenocarcinomas, 33 squamous carcinomas and 20 IMTs underwent spectral CT scans to obtain spectral images at arterial phase (AP) and venous phase (VP). The imaging data were analyzed retrospectively. The iodine concentration of adenocarcinoma, squamous carcinomas and IMT were measured. The normalized iodine concentration in AP (NICAP), normalized iodine concentration in VP (NICVP) and normalized iodine concentration difference between AP and VP (ICD) were calculated. The above quantitative parameters among three groups were analyzed with analysis of variance and ROC curve. Results NICAP (0.15 ± 0.04), NICVP (0.37 ± 0.08) and ICD(0.23 ± 0.06)of the adenocarcinoma were lower than those of IMT (0.21 ± 0.05,0.50 ± 0.06,0.28 ± 0.08). There were significant differences in NICAP, NICVP and ICD between adenocarcinoma and IMT (P<0.05). NICAP (0.13 ± 0.03), NICVP (0.35±0.06) and ICD (0.22±0.05) of the squamous carcinoma were lower than those of IMT (0.21± 0.05,0.50±0.06,0.28±0.08). The differences in NICAP, NICVP and ICD were significant between squamous carcinoma and IMT (P<0.05). There were no significant differences in NICAP, NICVP and ICD between adenocarcinoma and squamous carcinoma (P>0.05). The best spectral quantitative parameter for differentiating the adenocarcinoma from IMT was NICVP, which yielded a sensitivity of 92.3% and a specificity of 86.7%with the threshold of 0.425. NICVP was also the best spectral quantitative parameter for differentiating squamous carcinomas from IMT. With the threshold of 0.44, a sensitivity of 84.6% and a specificity of 92.3% were found. Conclusion Spectral CT imaging with the quantitative iodine concentration analysis may help to increase the accuracy of differentiating adenocarcinoma and squamous carcinoma from IMT.