肺結(jié)節(jié)或腫塊320排動態(tài)容積CT雙入口灌注成像與病理的對照
[Abstract]:Objective: to investigate the relationship between perfusion imaging and pathological basis of 320 row dynamic volume CT perfusion imaging in pulmonary nodule or mass lesions, and to study the perfusion characteristics and hemodynamics of lung lesions of different histological types. Methods: from August 2016 to February 2017, 50 patients with intrapulmonary nodule or mass lesions, including 12 adenocarcinoma and 8 squamous cell carcinoma of the lung, were examined by biopsy and biopsy, including 12 cases of lung adenocarcinoma and 8 cases of squamous cell carcinoma of the lung, which were confirmed by surgical resection (41 cases) and biopsy (9 cases), including lung adenocarcinoma (12 cases) and squamous cell carcinoma (8 cases). There were 6 cases of small cell lung cancer, 9 cases of acute inflammation, 7 cases of chronic inflammation and 8 cases of pulmonary tuberculosis. All patients underwent 320 row dynamic volume CT perfusion scan, and the results of perfusion parameters were compared with pathological results. Results: there were significant differences in (BAF), perfusion index (PI) between benign and malignant pulmonary nodules or masses (P0.05). There was no significant difference in (PAF) value of pulmonary artery blood flow between benign and malignant nodules or masses (P0.05). The optimal threshold value of). PI for differentiating benign and malignant tumors was 57.65, the sensitivity was 90.0 and the specificity was 66.7%. The positive predictive value was 87.5 and the negative predictive value was 85.5. The perfusion results of pulmonary nodules or masses were related to their pathological types. Conclusion: the perfusion results of pulmonary nodules or masses are closely related to the pathological types. The main malignant lesions are bronchial artery blood supply. Pulmonary artery blood supply is the main benign lesion. 320 row dynamic volume CT pulmonary perfusion imaging plays an important role in differentiating benign and malignant pulmonary lesions.
【作者單位】： 廣東醫(yī)科大學(xué)附屬醫(yī)院放射科;
【基金】：湛江市非資助科技攻關(guān)計(jì)劃項(xiàng)目(2015B01071)
【分類號】：R563;R816.41
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