Literature DB >> 17449377

Peripheral lung cancer: relationship between multi-slice spiral CT perfusion imaging and tumor angiogenesis and cyclin D1 expression.

Shu-Hua Ma1, Ke Xu, Zhuang-Wei Xiao, Min Wu, Zheng-Yu Sun, Zhao-Xin Wang, Zhi-Guo Hu, Xu Dai, Ming-Jun Han, Yu-Guang Li.   

Abstract

The aim of this study was to investigate the relationship between 16-slice spiral CT perfusion imaging and tumor angiogenesis and cyclin D1 expression in patients with peripheral lung cancer. Fifty-eight patients with peripheral lung cancer underwent 16-slice spiral CT perfusion imaging. The CT perfusion imaging was analyzed for time density curve (TDC), perfusion parametric maps, and the respective perfusion parameters. Correlation between the respective perfusion parameters and immunohistochemical findings of microvessel density measurement and cyclin D1 expression was evaluated.

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Year:  2007        PMID: 17449377     DOI: 10.1016/j.clinimag.2007.01.011

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  11 in total

Review 1.  The pulmonary nodule: clinical and radiological characteristics affecting a diagnosis of malignancy.

Authors:  L Cardinale; F Ardissone; S Novello; M Busso; F Solitro; M Longo; D Sardo; M Giors; C Fava
Journal:  Radiol Med       Date:  2009-05-29       Impact factor: 3.469

2.  Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors.

Authors:  Chaan S Ng; Adam G Chandler; James C Yao; Delise H Herron; Ella F Anderson; Chusilp Charnsangavej; Brian P Hobbs
Journal:  J Comput Assist Tomogr       Date:  2014 Jul-Aug       Impact factor: 1.826

3.  Metastases to the liver from neuroendocrine tumors: effect of duration of scan acquisition on CT perfusion values.

Authors:  Chaan S Ng; Brian P Hobbs; Adam G Chandler; Ella F Anderson; Delise H Herron; Chusilp Charnsangavej; James Yao
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

4.  The Use of CT Perfusion to Determine Microvessel Density in Lung Cancer: Comparison with FDG-PET and Pathology.

Authors:  Ning Xing; Zu-Long Cai; Shao-Hong Zhao; Li Yang; Bai-Xuan Xu; Fu-Lin Wang
Journal:  Chin J Cancer Res       Date:  2011-06       Impact factor: 5.087

5.  Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors.

Authors:  Jinzhong Yang; Lifei Zhang; Xenia J Fave; David V Fried; Francesco C Stingo; Chaan S Ng; Laurence E Court
Journal:  Comput Med Imaging Graph       Date:  2015-12-14       Impact factor: 4.790

6.  Enhancement patterns of pancreatic adenocarcinoma on conventional dynamic multi-detector row CT: correlation with angiogenesis and fibrosis.

Authors:  Yuki Hattori; Toshifumi Gabata; Osamu Matsui; Kentaro Mochizuki; Hirohisa Kitagawa; Masato Kayahara; Tetsuo Ohta; Yasuni Nakanuma
Journal:  World J Gastroenterol       Date:  2009-07-07       Impact factor: 5.742

Review 7.  Clinical biomarkers of angiogenesis inhibition.

Authors:  Aaron P Brown; Deborah E Citrin; Kevin A Camphausen
Journal:  Cancer Metastasis Rev       Date:  2008-09       Impact factor: 9.264

8.  Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre.

Authors:  Mufeed Arimbrakkunnan; Pawan K Garg; Pushpinder S Khera; Binit Sureka; Poonam Elhence; Puneet Pareek; Nishant Kumar Chauhan; Taruna Yadav
Journal:  Lung India       Date:  2022 May-Jun

9.  ROI for outlining an entire tumor is a reliable approach for quantification of lung cancer tumor vascular parameters using CT perfusion.

Authors:  Ensen Ma; An Ren; Baoxiang Gao; Minxing Yang; Qichao Zhao; Wu Wang; Kefeng Li
Journal:  Onco Targets Ther       Date:  2016-04-27       Impact factor: 4.147

10.  CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow.

Authors:  Alessandro Bevilacqua; Giampaolo Gavelli; Serena Baiocco; Domenico Barone
Journal:  Biomed Res Int       Date:  2018-09-03       Impact factor: 3.411

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