Clinical analysis of bone metastasis of gastric cancer: incidence, clinicopathological features and survival.

Aim: We evaluated the incidence, clinicopathological features, prognostic factors and survival of gastric cancer (GC) with bone metastasis in a single large cancer center in China. Patients & methods: Patients with bone metastasis of GC were retrospectively analyzed. Overall survival was estimated using the Kaplan-Meier method. Clinicopathological factors, which were associated with prognostic factors for survival, were evaluated. Results: The incidence of bone metastasis was 11.3% for metastatic GC patients. Median overall survival time was 6.5 months. Multivariate analysis revealed two independent poor prognostic factors: Eastern Cooperative Oncology Group ≥2 (p = 0.023) and lack of palliative chemotherapy (p = 0.018). Conclusion: The incidence of bone metastasis from metastatic GC was underestimated. The prognosis of GC with bone metastasis was poor.

DW MRI at 3.0 T versus FDG PET/CT for detection of malignant pulmonary tumors.

Emerging evidence suggests that diffusion-weighted magnetic resonance imaging (DW MRI) could be useful for tumor detection with N and M staging of lung cancer in place of fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). DW MRI at 3.0 T and FDG PET/CT were performed before therapy in 113 patients with pulmonary nodules. Mean apparent diffusion coefficient (ADC), maximal standardized uptake value (SUVmax ) and Ki-67 scores were assessed. Quantitatively, specificity and accuracy of ADC (91.7 and 92.9%, respectively) were significantly higher than those of SUVmax (66.7 and 77.9% respectively, p < 0.05), although sensitivity was not significantly different between them (93.5 and 83.1%, p > 0.05). Qualitatively, sensitivity, specificity and accuracy of DW MRI (96.1, 83.3 and 92.0%, respectively) were also not significantly different from that of FDG PET/CT (88.3, 83.3 and 86.7%, respectively, p > 0.05). Significant negative correlation was found between Ki-67 score and ADC (r = -0.66, p < 0.05), ADC and SUVmax (r = -0.37, p < 0.05), but not between Ki-67 score and SUVmax (r = -0.11, p > 0.05). In conclusion, quantitative and qualitative assessments for detection of malignant pulmonary tumors with DW MRI at 3.0 T are superior to those with FDG PET/CT. Furthermore, ADC could predict the malignancy of lung cancer.

Preliminary comparison of diffusion-weighted MRI and PET/CT in predicting histological type and malignancy of lung cancer.

INTRODUCTION: Emerging evidence shows that diffusion-weighted magnetic resonance imaging (DW MRI) and fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography (18 F-FDG PET/CT) might be useful in predicting histological type and malignancy of lung cancer, and even in specifically detecting the types of gene mutation. OBJECTIVE: We assessed whether DW MRI is equivalent to PET/CT in lung cancer diagnosis and evaluation. METHODS: The institutional review board approved this study, and written informed consent was obtained from all patients. DW MRI and FDG PET/CT were performed before therapy in 15 lung cancer patients diagnosed by pathological examination. Apparent diffusion coefficient (ADC), ratio of ADC (rADC = ADC in tumor/ADC in spinal cord) and maximal standardized uptake value (SUVmax ) were assessed. RESULTS: ADC, rADC and SUVmax did not reveal significant differences among different types of lung cancer. Sensitivity, specificity and accuracy of ADC, rADC and SUVmax proved to be not significantly different in the detection of adenocarcinoma and squamous cell carcinoma. Difference in the abilities of the sensitivity, specificity and accuracy of ADC, rADC and SUVmax to detect adenocarcinoma and squamous cell carcinoma proved to be insignificant. Although Ki-67 score did not show correlation with ADC, rADC and SUVmax , significant positive correlation was found between ADC and rADC, and ADC and SUVmax . CONCLUSIONS: Both DW MRI and FDG PET/CT had similar limited diagnostic capability of predicting different histological types and malignancy of lung cancer. This study may help provide a novel insight into diagnostic and therapeutic strategies of lung cancer based on DW MRI.