According to research, FDG PET, when combined with high-resolution CT (HRCT), can help predict the growth patterns and characteristics of early-stage adenocarcinomas.
The scientists also clarified that no significance was seen for the possibility of the technique predicting invasive growth patterns of the disease.
In an analysis conducted on PET/CT data from ground-glass nodules (GGNs) in patients with lung adenocarcinoma:
- Researchers wanted to evaluate the efficacy of the maximum standard uptake value (SUVmax) of PET combined with HRCT when predicting the histopathologic subtype and the growth patterns of lung adenocarcinoma.
- Even though the SUVmax showed high measurement in GGNs that had invasive HRT signs, it was also seen that the GGN diameter and the attenuation value differential between the ground glass components and the adjacent lung tissues predicted the FDG uptake by GGNs independently.
- Also, the SUVmax in invasive adenocarcinoma was higher than that found in adenocarcinoma in situ (AIS) – minimally invasive adenocarcinoma (MIA), with the SUVmax 2.0 the optimal differentiation cutoff value.
- Acinar-papillary adenocarcinoma was found to have high SUVmax that the lepidic adenocarcinoma, with SUVmax 1.4, as the optimal differentiation cutoff value.
- In stage IA lung adenocarcinoma with GGNs, the SUVmax of the GGNs with invasive CT features was high. This means that HCRT can help in the diagnosis of the lung adenocarcinoma subtypes. However, HCRT cannot be used in the differentiation of various growth patterns of lung adenocarcinomas.
This concludes that the efficacy of FDG PET SUVmax when differentiating the subtypes of lung adenocarcinoma is similar to that of the HRCT signs. However, it was observed that the diagnostic efficiency of FDG PET in combination with HRCT is much higher compared to using each imaging technique alone.