Literature DB >> 15334566

Measurement of tumor interstitial volume fraction: method and implication for drug delivery.

Y R Kim1, M D Savellano, D H Savellano, R Weissleder, A Bogdanov.   

Abstract

It is important to evaluate the tumor interstitial volume fraction that is accessible for drug accumulation during the distribution phase in order to determine the potential efficacy of cancer chemotherapy. In this study, we performed simulations of magnetic resonance imaging (MRI) signal intensity using a two-compartment tissue model for quantitative analyses of absolute interstitial volume measurements while we experimentally characterized a mouse tumor model with a dual MR contrast-agent method. Previously, consecutive intravenous injections of a strictly intravascular T1 contrast agent followed by an extravasating agent were used as a strategy for the quantification of both relative blood volume (Rel_BV) and relative interstitial volume (Rel_ITST) (Weissleder et al. Eur J Cancer 1998;34:1448-1454; Bogdanov et al. Neoplasia 1991;1:438-435). In the current study, we demonstrate that this approach can be further improved, and that it enables one to accurately evaluate both relative and absolute interstitial volumes. The animal data indicated that a significant difference exists between the absolute interstitial volume fractions of subcutaneously implanted MDA PCa 2b tumor and skeletal muscle tissue (27.5 +/- 9.1% and 15.9 +/- 0.7%, respectively (P < 0.05)), while only a minor difference was found for the absolute blood volumes (Abs_BV) (Kim et al. Magn Reson Med 2002;47:1110-1120) of these tissues. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15334566     DOI: 10.1002/mrm.20182

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  8 in total

1.  Dynamic monitoring of blood-brain barrier integrity using water exchange index (WEI) during mannitol and CO2 challenges in mouse brain.

Authors:  Shuning Huang; Christian T Farrar; Guangping Dai; Seon Joo Kwon; Alexei A Bogdanov; Bruce R Rosen; Young R Kim
Journal:  NMR Biomed       Date:  2012-10-11       Impact factor: 4.044

2.  Leaky vessels as a potential source of stromal acidification in tumours.

Authors:  Natasha K Martin; Eamonn A Gaffney; Robert A Gatenby; Philip K Maini
Journal:  J Theor Biol       Date:  2010-08-10       Impact factor: 2.691

3.  Tumor characterization with dynamic contrast enhanced magnetic resonance imaging and biodegradable macromolecular contrast agents in mice.

Authors:  Xueming Wu; Yi Feng; Eun-Kee Jeong; Lyska Emerson; Zheng-Rong Lu
Journal:  Pharm Res       Date:  2009-07-14       Impact factor: 4.200

Review 4.  Sodium homeostasis in the tumour microenvironment.

Authors:  Theresa K Leslie; Andrew D James; Fulvio Zaccagna; James T Grist; Surrin Deen; Aneurin Kennerley; Frank Riemer; Joshua D Kaggie; Ferdia A Gallagher; Fiona J Gilbert; William J Brackenbury
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-07-23       Impact factor: 10.680

5.  Protected Graft Copolymer (PGC) in Imaging and Therapy: A Platform for the Delivery of Covalently and Non-Covalently Bound Drugs.

Authors:  Alexei A Bogdanov; Mary Mazzanti; Gerardo Castillo; Elijah Bolotin
Journal:  Theranostics       Date:  2012-06-04       Impact factor: 11.556

6.  Multiscale design of cell-type-specific pharmacokinetic/pharmacodynamic models for personalized medicine: application to temozolomide in brain tumors.

Authors:  A Ballesta; Q Zhou; X Zhang; H Lv; J M Gallo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-04-30

Review 7.  Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies.

Authors:  Prashant Dogra; Joseph D Butner; Sara Nizzero; Javier Ruiz Ramírez; Achraf Noureddine; María J Peláez; Dalia Elganainy; Zhen Yang; Anh-Dung Le; Shreya Goel; Hon S Leong; Eugene J Koay; C Jeffrey Brinker; Vittorio Cristini; Zhihui Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2020-04-21

8.  Modeling the dynamics of antibody-target binding in living tumors.

Authors:  Yu Tang; Yanguang Cao
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

  8 in total

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