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  • Title: Correlation of 18F-fluorodeoxyglucose uptake on positron emission tomography with Ki-67 index and pathological invasive area in lung adenocarcinomas 30 mm or less in size.
    Author: Murakami S, Saito H, Sakuma Y, Mizutani Y, Ishikawa Y, Kondou T, Oshita F, Yokose T, Kameda Y, Suga Y, Ito H, Tsuboi M, Nakayama H, Noda K, Yamada K.
    Journal: Eur J Radiol; 2010 Aug; 75(2):e62-6. PubMed ID: 20005653.
    Abstract:
    BACKGROUND: (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) is commonly used to distinguish benign from malignant lesion. Recently, maximum standardized uptake value (SUVmax) on FDG-PET has found to have prognostic value. We examined the relationship between SUVmax and proliferative activities as indicated by maximum diameter of tumor opacity on mediastinal-window images (TOM), Ki-67 index, and diameter of the pathological invasive area in lung adenocarcinomas <or=30 mm. METHODS: Thin-section computed tomography (TS-CT) and FDG-PET were performed on 140 patients with resectable lung adenocarcinomas <or=30 mm between March 2006 and May 2008. Tumors were classified as air-type or solid-type based on TS-CT findings. In all resected specimens, diameter of the pathological invasive area and Ki-67 index were assessed. RESULTS: SUVmax was significantly lower for air-type than for solid-type tumors (0.97 vs. 3.96, p<0.0001). In solid-type tumors, SUVmax correlated with diameter of TOM (r=0.450, p<0.0001), Ki-67 index (r=0.567, p<0.0001), and diameter of the pathological invasive area (r=0.672, p<0.0001). In multiple regression analysis, SUVmax correlated significantly with Ki-67 index and diameter of the pathological invasive area but not with diameter of TOM. The cut-off value of SUVmax for predicting invasive area >5mm was determined as 2.15 by ROC analysis, with sensitivity of 88.3% and specificity of 84.6%. CONCLUSIONS: SUVmax correlated significantly with Ki-67 index and diameter of the pathological invasive area. The present results suggest the potential role of FDG-PET in predicting adenocarcinomas with invasive characteristics.
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