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Pulmonary Carcinoma: Comparative Study Of CT Perfusion With Pathological Types

Posted on:2011-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:L Y XuFull Text:PDF
GTID:2154360308483426Subject:Medical imaging and nuclear medicine
Abstract/Summary:PDF Full Text Request
Objective: To analyze the perfusion character of lung cancer for understanding the information about blood-supply of the lesion with different histologic types in vive, and to improve the ability of predicting the pathologic type. Methods: Patiens doubted for lung cancer underwent CT perfusion imaging at the region of interest based on the conventional chest CT scan. The time- attenuation curve(TAC) ,perfusion parameters and artificial picture were obtained after the data was proceed .The comparison of perfusion parameter among different histologic types of lung cancer were analyzed with SPSS. Results: 37 patients included 16 squamous cell carcinomas (SCC), 15 adenocarcinomas(AC) and 6 small cell lung cancers(SCLC). The PE value of AC (28.71±8.00HU)was higher than that of SCC (21.87±7.53HU) and SCLC(15.23±8.11HU), the PE value of SCC was higher than that of SCLC. The difference of PE value was statistically significant between AC and SCLC (F=7.048,P=0.003). No significant difference was revealed between PE value of SCC and AC or SCLC, respectively by SNK. PER ,TTP and BV was no significant difference among SC,AC and SCLC. SCC was compared with AC after sorting SCC and AC at tumor cell differentiated level respectively. The result showed that the difference of PE value was statistically significant between SCC and AC (F=5.516,P=0.026). TAC was classified as typeⅠand typeⅡdue to their shapes. 5 in 16 SCC and 11 in 15 AC were defined as typeⅠ, 11 SCC,4 AC and all of 6 SCLC were defined as typeⅡ. The difference of TAC was statistically significant between SC and AC (Fisher,s Exact Test, p=0.032). Conclusion: Histologic types of lung cancer can be distinguished at some level with CT perfusion imaging.
Keywords/Search Tags:lung cancer, X-Ray, computer tomography, perfusion imaging, pathology
PDF Full Text Request
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