Objective: To investigate the value of (99)Tc(m)N-NOET dual-phase SPECT in differential diagnosis of benign and malignant lung tumors.
Methods: CT scan, early (20 to 30 min) and delayed (2 h) imaging of NOET SPECT were performed on 61 patients suspected of lung lesions before operation. The results were compared with the pathological findings. All cases were not treated with radiotherapy, chemotherapy or surgery before checks. Moreover, all patients had pathological diagnosis. To determine the value in differential diagnosis of tumors by analyzing the tumor uptake and excretion of (99)Tc(m)N-NOET, and the results were compared with that of CT.
Results: The value of early T/N ratio (ER) in the malignant (G1) and benign (G2) groups was 1.25 ± 0.15 and 1.09 ± 0.11 (P < 0.001), respectively, and delayed T/N ratio (DR) was 1.40 ± 0.17 and 1.18 ± 0.21 (P < 0.001). The retention index (RI) of groups G1 was (12.22 ± 6.38)% and group G2 was (8.3 ± 10.91)%, with a non-significant difference between them (P > 0.05). The ER, DR and RI of NOET SPECT in the malignant patients were not significantly correlated with TNM staging, pathological types, tumor diameter, cavity in the lung tumor mass, history of smoking, tumor size and patient gender (P > 0.05). The sensitivity of NOET dual-phase SPECT and CT in the differential diagnosis of benign and malignant lung tumors was 94.1% vs. 90.2%, specificity was 70.0% vs. 80.0% , positive predictive value (PPV) was 94.1% vs. 95.8%, negative predictive value (NPV) was 70.0% vs. 61.5 %, and accuracy was 90.2%. vs. 88.5% (P > 0.05 for all).
Conclusions: (99)Tc(m)N- NOET dual-phase SPECT could be used in differential diagnosis of benign and malignant lung tumors, with no significant differences compared with the efficacy of CT imaging. The semiquantitative indexes (ER, DR and RI) of NOET SPECT can also be used in differential diagnosis of benign and malignant lung tumors, and are not significantly correlated with TNM staging, pathological types, tumor diameter, cavity of the lung tumor mass, history of smoking, tumor size and patient gender.