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The use of CT perfusion to determine microvessel density in lung cancer: Comparison with FDG-PET and pathology

  • Original Article
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Chinese Journal of Cancer Research

Abstract

Objective

To investigate the validity of CT perfusion in assessing angiogenic activity of lung cancer.

Methods

Fifty-six patients with lung cancer scheduled for elective surgical resection received 16-slice helical CT perfusion imaging. Time-density curve (TDC), blood flow (BF), blood volume (BV), mean transmit time (MTT) and permeability surface area product (PS) were calculated. 18F-deoxyglucose-positron emission tomography (FGD-PET) was carried out in 14 out of the 56 patients to calculate standardized uptake values (SUVs). Tumor microvessel density (MVD) was examined using CD34 immunohistochemical staining of the resected tumor tissue. Pearson’s correlation analysis was used to evaluate potential correlation between CT perfusion parameters and MVD or SUV.

Results

Average time to peak height (TPH) of the TDCs (including two types of TDC) was 24.38±5.69 seconds. Average BF, BV, MTT and PS were 93.42±53.45 ml/100g/min, 93.42±53.45 ml/100g, 6.83±4.51 s and 31.92±18.73 ml/100g/min, respectively. Average MVD was 62.04±29.06/HPF. The mean SUV was 6.33±3.26. BF was positively correlated with MVD (r=0.620, P<0.01) and SUV (r=0.891, P<0.01). PS was also positively correlated with SUV (r=0.720, P<0.05). A positive correlation was also observed between tumor MVD and SUV (r=0.915, P<0.01).

Conclusions

CT perfusion imaging is a reliable tool to evaluate the tumor neovascularity of lung cancer.

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References

  1. Provenzale JM. Imaging of angiogenesis: clinical techniques and novel imaging methods. AJR Am J Roentgenol 2007; 188: 11–23.

    Article  PubMed  Google Scholar 

  2. Weidner N. Tumor vascularity and proliferation: clear evidence of a close relationship. J Pathol 1999; 189: 297–299.

    Article  PubMed  CAS  Google Scholar 

  3. Lee TY, Purdie TG, Stewart E. CT imaging of angiogenesis. Q J Nucl Med 2003; 41: 171–187.

    CAS  Google Scholar 

  4. Li Y, Yang ZG, Chen TW, et al. Whole tumor perfusion of peripheral lung carcinoma: evaluation with first-pass CT perfusion imaging at 64-detector row CT. Clin Radiol 2008; 63: 629–635.

    Article  PubMed  CAS  Google Scholar 

  5. Ng, QS Goh V. Angiogenesis in non-small cell lung cancer: Imaging with perfusion computed tomography. J Thorac Imaging 2010; 25: 142–150.

    Article  PubMed  Google Scholar 

  6. WU J, LI W, Tan Q, et al. The relationship among CT appearances and dynamic enhancement and microvessel density of peripheral lung cancer. Zhongguo Fei Ai Za Zhi (in Chinese) 2003; 6: 30–34.

    Google Scholar 

  7. Tateishi U, Nishihara H, Watanabe S, et al. Tumor Angiogenesis and Dynamic CT in Lung Adenocarcinoma: Radiologic-Pathologic Correlation. J Comput Assist Tomogr 2001; 25: 23–27.

    Article  PubMed  CAS  Google Scholar 

  8. Yi CA, Lee KS, Kim EA, et al. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. Radiology 2004; 233: 191–199.

    Article  PubMed  Google Scholar 

  9. Ma SH, Le HB, Jia Bh, et al. Peripheral pulmonary nodules: Relationship between multi-slice spiral CT perfusion imaging and tumor angiogenesis and VEGF expression. BMC Cancer 2008, 8: 186.

    Article  PubMed  Google Scholar 

  10. Ma SH, Xu K, Xiao ZW, et al. Peripheral lung cancer: relationship between multi-slice spiral CT perfusion imaging and tumor angiogenesis and cyclin D1 expression. Clin Imaging 2007; 31: 165–177.

    Article  PubMed  Google Scholar 

  11. Miles KA, Griffiths MR, Fuentes MA. Standardized perfusion value: universal CT contrast enhancement scale that correlates with FDG PET in lung nodules. Radiology 2001; 220: 548–553.

    PubMed  CAS  Google Scholar 

  12. Vermeulen PB, Roland L, Mertens V, et al. Correlation of intratumoral microvessel density and p53 protein overexpression in human colorectal adenocarcinoma. Microvasc Res 1996; 51: 164–174.

    Article  PubMed  CAS  Google Scholar 

  13. Tateishi U, Nishihara H, Tsukamoto E, et al. Lung tumors evaluated with FDG-PET and dynamic CT: the relationship between vascular density and glucose metabolism. Comput Assist Tomogr 2002; 26: 185–190.

    Article  Google Scholar 

Download references

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Correspondence to Zu-long Cai.

Additional information

This work was supported by grants from The National Key Technology R&D Program of China(No. 2009BAI86B00), Research in the Special Needs of Critical Care Technology and Equipment(No. 2009BAI86B05); PLA General Hospital Nursery Fund (No. 09KMM38).

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Xing, N., Cai, Zl., Zhao, Sh. et al. The use of CT perfusion to determine microvessel density in lung cancer: Comparison with FDG-PET and pathology. Chin. J. Cancer Res. 23, 118–122 (2011). https://doi.org/10.1007/s11670-011-0118-z

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  • DOI: https://doi.org/10.1007/s11670-011-0118-z

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