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Image registration algorithm-based CT-MRI images to be applied in radiotherapy of lung cancer patients with atelectasis
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J.X. Wang   , J. Wang , H. Lin , Y. Liang |
| Department of Radiology, General Hospital of the Yangtze River Shipping, Wuhan, 430010, Hubei Province, China , 18062660136@163.com |
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Abstract: (80 Views) |
Background: Lung cancer (LC) is major cause of cancer-induced death. The aim of this study wasto investigate application of CT-MRI fusion images under image registration algorithm in radiotherapy for patients suffering from LC and atelectasis. Materials and Methods: Sixty cases of lung cancer complicated with atelectasis were randomly divided into an experimental (Exp) group and a control (Ctrl) group, and the patients were scanned by enhanced CT localization and MRI. CT-MRI images were fused by image registration algorithm, and the imaging characteristics and prognosis (curative effect, quality of life, complications) of patients were observed. Results: It was found that volume of the target area delimited in fusion image in Exp group was less in contrast to that in Ctrl group (P < 0.05). No difference existed in target encasement between the two; there was difference in values of V5 and V10 between the two. P < 0.05 mean lung dose in Exp group was significantly lower than that in Ctrl group. P < 0.05 indicated that value of cardiac V30 in Exp group was obviously less than that in Ctrl group. P < 0.05 demonstrated that lung recruitment in Exp group was greater when compared to that in Ctrl group after radiotherapy, while improvement of quality of life was also significantly better than that in Ctrl group, P < 0.05; overall response rate of radiotherapy in Exp group was slightly greater than that in Ctrl group, but difference showed no statistical significance; and no remarkable difference existed in number of cases of radiation pneumonitis between them, P > 0.05. Conclusion: Using fusion image can reduce irradiation of normal lung tissue. |
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| Keywords: Image registration algorithm, CT-MRI images, image fusion, lung cancer and atelectasis, radiotherapy. |
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Full-Text [PDF 784 kb]
(8 Downloads)
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Type of Study: Original Research |
Subject:
Radiation Biology
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