TY - JOUR
T1 - FDG-PET/CT and diffusion-weighted imaging for resected lung cancer
T2 - correlation of maximum standardized uptake value and apparent diffusion coefficient value with prognostic factors
AU - Usuda, Katsuo
AU - Funasaki, Aika
AU - Sekimura, Atsushi
AU - Motono, Nozomu
AU - Matoba, Munetaka
AU - Doai, Mariko
AU - Yamada, Sohsuke
AU - Ueda, Yoshimichi
AU - Uramoto, Hidetaka
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2018/5/1
Y1 - 2018/5/1
N2 - Diffusion-weighted magnetic resonance imaging (DWI) is useful for detecting malignant tumors and the assessment of lymph nodes, as FDG-PET/CT is. But it is not clear how DWI influences the prognosis of lung cancer patients. The focus of this study is to evaluate the correlations between maximum standardized uptake value (SUVmax) of FDG-PET/CT and apparent diffusion coefficient (ADC) value of DWI with known prognostic factors in resected lung cancer. A total of 227 patients with resected lung cancers were enrolled in this study. FEG-PET/CT and DWI were performed in each patient before surgery. There were 168 patients with adenocarcinoma, 44 patients with squamous cell carcinoma, and 15 patients with other cell types. SUVmax was a factor that was correlated to T factor, N factor, or cell differentiation. ADC of lung cancer was a factor that was not correlated to T factor, or N factor. There was a significantly weak inverse relationship between SUVmax and ADC (Correlation coefficient r = − 0.227). In analysis of survival, there were significant differences between the categories of sex, age, pT factor, pN factor, cell differentiation, cell type, and SUVmax. Univariate analysis revealed that SUVmax, pN factor, age, cell differentiation, cell type, sex, and pT factor were significant factors. Multivariate analysis revealed that SUVmax and pN factor were independent significant prognostic factors. SUVmax was a significant prognostic factor that is correlated to T factor, N factor, or cell differentiation, but ADC was not. SUVmax may be more useful for predicting the prognosis of lung cancer than ADC values.
AB - Diffusion-weighted magnetic resonance imaging (DWI) is useful for detecting malignant tumors and the assessment of lymph nodes, as FDG-PET/CT is. But it is not clear how DWI influences the prognosis of lung cancer patients. The focus of this study is to evaluate the correlations between maximum standardized uptake value (SUVmax) of FDG-PET/CT and apparent diffusion coefficient (ADC) value of DWI with known prognostic factors in resected lung cancer. A total of 227 patients with resected lung cancers were enrolled in this study. FEG-PET/CT and DWI were performed in each patient before surgery. There were 168 patients with adenocarcinoma, 44 patients with squamous cell carcinoma, and 15 patients with other cell types. SUVmax was a factor that was correlated to T factor, N factor, or cell differentiation. ADC of lung cancer was a factor that was not correlated to T factor, or N factor. There was a significantly weak inverse relationship between SUVmax and ADC (Correlation coefficient r = − 0.227). In analysis of survival, there were significant differences between the categories of sex, age, pT factor, pN factor, cell differentiation, cell type, and SUVmax. Univariate analysis revealed that SUVmax, pN factor, age, cell differentiation, cell type, sex, and pT factor were significant factors. Multivariate analysis revealed that SUVmax and pN factor were independent significant prognostic factors. SUVmax was a significant prognostic factor that is correlated to T factor, N factor, or cell differentiation, but ADC was not. SUVmax may be more useful for predicting the prognosis of lung cancer than ADC values.
KW - Diagnosis
KW - Diffusion-weighted magnetic resonance imaging (DWI)
KW - Lung cancer
KW - Magnetic resonance imaging (MRI)
KW - Positron emission tomography (PET)
KW - Prognostic factor
UR - http://www.scopus.com/inward/record.url?scp=85045101166&partnerID=8YFLogxK
U2 - 10.1007/s12032-018-1128-1
DO - 10.1007/s12032-018-1128-1
M3 - 学術論文
C2 - 29633024
AN - SCOPUS:85045101166
SN - 1357-0560
VL - 35
JO - Medical Oncology
JF - Medical Oncology
IS - 5
M1 - 66
ER -