Literature DB >> 21224299

Quantitative evaluation of viable tissue perfusion changes with contrast-enhanced greyscale ultrasound in a mouse hepatoma model following treatment with different doses of thalidomide.

J H Zhou1, W Zheng, L H Cao, M Liu, R Z Luo, F Han, P H Wu, A H Li.   

Abstract

OBJECTIVE: This study aimed to quantify intratumoural viable tissue perfusion with contrast-enhanced greyscale ultrasound to evaluate tumour response to anti-angiogenic treatment.
METHODS: H22 hepatoma-bearing mice were treated with low-dose thalidomide (Group B), high-dose thalidomide (Group C) or 0.5% carboxylmethylcellulose (Group A). Contrast-enhanced greyscale ultrasound was performed after 7 days of treatments to evaluate the percentage of non-enhanced area for each tumour; regions of interest within the enhanced area were analysed offline to determine the area under the curve (AUC), maximum intensity (IMAX), perfusion index (PI), mean transit time (MTT), time to peak (TTP) and quality of fit (QOF). Immunohistochemical analysis was performed for evaluation of microvascular density (MVD).
RESULTS: The percentage of non-enhanced area was significantly larger in Group C than in Groups A and B (p<0.05); however, there was no significant difference between Groups A and B. Treatment with thalidomide resulted in a significant decrease in AUC, PI and IMAX compared with Group A (p<0.05). Immunohistochemistry showed significant decreases in MVD in Groups B and C compared with Group A (p<0.05); however, there was no significant difference in MVD between Groups B and C. MVD was positively correlated with IMAX (r = 0.419, p = 0.023) and PI (r = 0.455, p = 0.013).
CONCLUSION: Quantitatively analysing intratumoural viable tissue perfusion enables early evaluation of tumour response to anti-angiogenic therapy before apparent changes in tumour necrosis.

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Year:  2011        PMID: 21224299      PMCID: PMC3473775          DOI: 10.1259/bjr/14335925

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  24 in total

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Authors:  S Delorme; P Peschke; I Zuna; G van Kaick
Journal:  Radiologe       Date:  2001-02       Impact factor: 0.635

Review 2.  Quantification of blood flow.

Authors:  D Cosgrove; R Eckersley; M Blomley; C Harvey
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

Review 3.  Clinical application of antiangiogenic therapy: microvessel density, what it does and doesn't tell us.

Authors:  Lynn Hlatky; Philip Hahnfeldt; Judah Folkman
Journal:  J Natl Cancer Inst       Date:  2002-06-19       Impact factor: 13.506

4.  Hemodynamics in vasculogenic mimicry and angiogenesis of inflammatory breast cancer xenograft.

Authors:  Kazuo Shirakawa; Hisataka Kobayashi; Yuji Heike; Satomi Kawamoto; Martin W Brechbiel; Fujio Kasumi; Toshihiko Iwanaga; Fumio Konishi; Masaaki Terada; Hiro Wakasugi
Journal:  Cancer Res       Date:  2002-01-15       Impact factor: 12.701

Review 5.  Tumor angiogenesis: therapeutic implications.

Authors:  J Folkman
Journal:  N Engl J Med       Date:  1971-11-18       Impact factor: 91.245

6.  Tumor vascularity: evaluation in a murine model with contrast-enhanced color Doppler US effect of angiogenesis inhibitors.

Authors:  Irina Iordanescu; Christian Becker; Bruce Zetter; Patricia Dunning; George A Taylor
Journal:  Radiology       Date:  2002-02       Impact factor: 11.105

7.  Antiangiogenic tumor treatment: noninvasive monitoring with contrast pulse sequence imaging for contrast-enhanced grayscale ultrasound.

Authors:  Jianhua Zhou; Wei Zheng; Longhui Cao; Min Liu; Feng Han; Anhua Li
Journal:  Acad Radiol       Date:  2010-03-11       Impact factor: 3.173

Review 8.  Thalidomide in cancer.

Authors:  S Singhal; J Mehta
Journal:  Biomed Pharmacother       Date:  2002-02       Impact factor: 6.529

Review 9.  Measuring tumour vascular response to antivascular and antiangiogenic drugs.

Authors:  G M Tozer
Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

10.  Early antiangiogenic activity of bevacizumab evaluated by computed tomography perfusion scan in patients with advanced hepatocellular carcinoma.

Authors:  Andrew X Zhu; Nagaraj S Holalkere; Alona Muzikansky; Kerry Horgan; Dushyant V Sahani
Journal:  Oncologist       Date:  2008-02
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  6 in total

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2.  Automating tumor classification with pixel-by-pixel contrast-enhanced ultrasound perfusion kinetics.

Authors:  Casey N Ta; Yuko Kono; Christopher V Barback; Robert F Mattrey; Andrew C Kummel
Journal:  J Vac Sci Technol B Nanotechnol Microelectron       Date:  2012-03-22

3.  Reducing tumor growth and angiogenesis using a triple therapy measured with Contrast-enhanced ultrasound (CEUS).

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Journal:  BMC Cancer       Date:  2015-05-08       Impact factor: 4.430

4.  Dynamic Contrast-Enhanced Ultrasound of Gastric Cancer: Correlation with Perfusion CT and Histopathology.

Authors:  Ijin Joo; Se Hyung Kim; Dong Ho Lee; Joon Koo Han
Journal:  Korean J Radiol       Date:  2019-05       Impact factor: 3.500

5.  Assessment of early tumor response to cytotoxic chemotherapy with dynamic contrast-enhanced ultrasound in human breast cancer xenografts.

Authors:  Jian-Wei Wang; Wei Zheng; Ji-Bin Liu; Yao Chen; Long-Hui Cao; Rong-Zhen Luo; An-Hua Li; Jian-Hua Zhou
Journal:  PLoS One       Date:  2013-03-01       Impact factor: 3.240

6.  Contrast-Enhanced Ultrasound Improves the Pathological Outcomes of US-Guided Core Needle Biopsy That Targets the Viable Area of Anterior Mediastinal Masses.

Authors:  Jian-Hua Zhou; Hong-Bo Shan; Wei Ou; Yun-Xian Mo; Jin Xiang; Yu Wang; Jian Li; Si-Yu Wang
Journal:  Biomed Res Int       Date:  2018-01-18       Impact factor: 3.411

  6 in total

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