Literature DB >> 24326223

Contrast agents for quantitative microCT of lung tumors in mice.

Kush Lalwani1, Anand Giddabasappa, Danan Li, Peter Olson, Brett Simmons, Farbod Shojaei, Todd Van Arsdale, James Christensen, Amy Jackson-Fisher, Anthony Wong, Patrick B Lappin, Jeetendra Eswaraka.   

Abstract

The identification and quantitative evaluation of lung tumors in mouse models is challenging and an unmet need in preclinical arena. In this study, we developed a noninvasive contrast-enhanced microCT (μCT) method to longitudinally evaluate and quantitate lung tumors in mice. Commercially available μCT contrast agents were compared to determine the optimal agent for visualization of thoracic blood vessels and lung tumors in naïve mice and in non-small-cell lung cancer models. Compared with the saline control, iopamidol and iodinated lipid agents provided only marginal increases in contrast resolution. The inorganic nanoparticulate agent provided the best contrast and visualization of thoracic vascular structures; the density contrast was highest at 15 min after injection and was stable for more than 4 h. Differential contrast of the tumors, vascular structures, and thoracic air space by the nanoparticulate agent enabled identification of tumor margins and accurate quantification. μCT data correlated closely with traditional histologic measurements (Pearson correlation coefficient, 0.995). Treatment of ELM4-ALK mice with crizotinib yielded 65% reduction in tumor size and thus demonstrated the utility of quantitative μCT in longitudinal preclinical trials. Overall and among the 3 agents we tested, the inorganic nanoparticulate product was the best commercially available contrast agent for visualization of thoracic blood vessels and lung tumors. Contrast-enhanced μCT imaging is an excellent noninvasive method for longitudinal evaluation during preclinical lung tumor studies.

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Year:  2013        PMID: 24326223      PMCID: PMC3866987     

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  34 in total

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3.  Analysis of lung tumor initiation and progression using conditional expression of oncogenic K-ras.

Authors:  E L Jackson; N Willis; K Mercer; R T Bronson; D Crowley; R Montoya; T Jacks; D A Tuveson
Journal:  Genes Dev       Date:  2001-12-15       Impact factor: 11.361

4.  Growth rate of small lung cancers detected on mass CT screening.

Authors:  M Hasegawa; S Sone; S Takashima; F Li; Z G Yang; Y Maruyama; T Watanabe
Journal:  Br J Radiol       Date:  2000-12       Impact factor: 3.039

Review 5.  Measures of response: RECIST, WHO, and new alternatives.

Authors:  C Carl Jaffe
Journal:  J Clin Oncol       Date:  2006-07-10       Impact factor: 44.544

6.  Combination of a MEK inhibitor at sub-MTD with a PI3K/mTOR inhibitor significantly suppresses growth of lung adenocarcinoma tumors in Kras(G12D-LSL) mice.

Authors:  Brett H Simmons; Joseph H Lee; Kush Lalwani; Anand Giddabasappa; Brittany A Snider; Anthony Wong; Patrick B Lappin; Jeetendra Eswaraka; Julie L Kan; James G Christensen; Farbod Shojaei
Journal:  Cancer Chemother Pharmacol       Date:  2012-06-09       Impact factor: 3.333

7.  High resolution computed tomography and MRI for monitoring lung tumor growth in mice undergoing radioimmunotherapy: correlation with histology.

Authors:  S J Kennel; I A Davis; J Branning; H Pan; G W Kabalka; M J Paulus
Journal:  Med Phys       Date:  2000-05       Impact factor: 4.071

Review 8.  Forty years of cancer modelling in the mouse.

Authors:  G L Hirst; A Balmain
Journal:  Eur J Cancer       Date:  2004-09       Impact factor: 9.162

9.  Mediastinal lymph node metastasis model by orthotopic intrapulmonary implantation of Lewis lung carcinoma cells in mice.

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Journal:  Br J Cancer       Date:  1999-03       Impact factor: 7.640

10.  Characterization of X-ray Dose in Murine Animals Using microCT, a New Low-Dose Detector and nanoDot Dosimeters.

Authors:  Dustin R Osborne; Shikui Yan; Alan Stuckey; Lindy Pryer; Tina Richey; Jonathan S Wall
Journal:  PLoS One       Date:  2012-11-27       Impact factor: 3.240

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  5 in total

1.  Longitudinal in vivo microcomputed tomography of mouse lungs: No evidence for radiotoxicity.

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Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2015-05-29       Impact factor: 5.464

2.  A step towards valid detection and quantification of lung cancer volume in experimental mice with contrast agent-based X-ray microtomography.

Authors:  Pidassa Bidola; Juliana Martins de Souza E Silva; Klaus Achterhold; Enkhtsetseg Munkhbaatar; Philipp J Jost; Anna-Lena Meinhardt; Kirsten Taphorn; Marie-Christine Zdora; Franz Pfeiffer; Julia Herzen
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

3.  Early detection of pre-malignant lesions in a KRASG12D-driven mouse lung cancer model by monitoring circulating free DNA.

Authors:  Callum P Rakhit; Ricky M Trigg; John Le Quesne; Michael Kelly; Jacqueline A Shaw; Catrin Pritchard; L Miguel Martins
Journal:  Dis Model Mech       Date:  2019-02-12       Impact factor: 5.758

4.  X-ray-based virtual slicing of TB-infected lungs.

Authors:  Ana Ortega-Gil; Juan José Vaquero; Mario Gonzalez-Arjona; Joaquín Rullas; Arrate Muñoz-Barrutia
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

5.  Mouse lung automated segmentation tool for quantifying lung tumors after micro-computed tomography.

Authors:  Mary Katherine Montgomery; John David; Haikuo Zhang; Sripad Ram; Shibing Deng; Vidya Premkumar; Lisa Manzuk; Ziyue Karen Jiang; Anand Giddabasappa
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

  5 in total

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