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DOI 10.3233/xst-180429

Медицинская библиотека · Journal of X-ray science and technology · 2019

Morphological analysis of blood vessels near lung tumors using 3-D quantitative CT.

Li Yan, Dai Yongliang, Yu Nan, Duan Xiaoyi, Zhang Weishan, Guo Youmin, Wang Jiansheng

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Improved visualization of lung cancer-associated vessels is vital.

OBJECTIVE

To evaluate the efficacy of 3-D quantitative CT in lung cancer-associated pulmonary vessel assessment.

METHODS

Vascular CT changes were assessed visually and using FACT-Digital lung TM software (n = 162 patients, 178 controls). The total number of pulmonary vessels (TNV) and mean lumen area of pulmonary vessels (MAV) vertical to cross-sections of fifth/sixth-generation bronchioles were measured.

RESULTS

Visual investigation revealed fewer ipsilateral pulmonary vascular abnormalities in lung cancer (151/162) than did quantitative CT (162/162), and required more time (3.2±1.5 vs. 2.5±1.3 min) (P < 0.05). CT measurements revealed that the TNV vertical to the fifth-generation bronchial cross-section of the ipsilateral, contralateral, and control groups was 14.58±4.75, 9.58±3.74, and 10.22±4.07 and the MAV in these groups was 99.70±26.20, 58.76±29.29, and 57.76±18.32, respectively. The TNV vertical to the sixth-generation bronchial cross-section of the ipsilateral, contralateral, and control groups was 16.64±5.14, 11.59±4.06, and 11.75±4.16 and the MAV was 110.22±31.47, 67.62±30.41, and 60.24±16.18, respectively. The TNV and MAV in ipsilateral lung cancer tissues exceeded those in the contralateral side and control group tissues (P < 0.001).

CONCLUSIONS

Automated 3-D quantitative CT could successfully characterize pulmonary vessels and their lung cancer-associated changes.

Для цитирования: Li Yan, Dai Yongliang, Yu Nan, Duan Xiaoyi, Zhang Weishan, Guo Youmin, Wang Jiansheng. Morphological analysis of blood vessels near lung tumors using 3-D quantitative CT.. Journal of X-ray science and technology. 2019. DOI: 10.3233/xst-180429.

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