Literature DB >> 12700286

Functional magnetic resonance imaging in oncology for diagnosis and therapy monitoring.

Michael V Knopp1, Hendrik von Tengg-Kobligk, Peter L Choyke.   

Abstract

Functional magnetic resonance imaging is rapidly evolving as a capable noninvasive assessment tool for oncology to improve diagnosis and to monitor therapy. Current clinical techniques are based on microcirculation imaging using extracellular low molecular weight contrast agents such as gadopentetate dimeglumine and analogues. The temporal evolution of the enhancement visualizes the angiogenic properties of lesions with regard to vascular density and permeability, heterogeneity, and changes during therapy.

Mesh:

Substances:

Year:  2003        PMID: 12700286

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  20 in total

Review 1.  Diffusion weighted magnetic resonance imaging and its recent trend-a survey.

Authors:  Geetha Soujanya Chilla; Cher Heng Tan; Chenjie Xu; Chueh Loo Poh
Journal:  Quant Imaging Med Surg       Date:  2015-06

Review 2.  Functional magnetic resonance imaging of head and neck cancer: Performance and potential.

Authors:  Ahmed H El Beltagi; Ahmed H Elsotouhy; Ahmed M Own; Wael Abdelfattah; Kavitha Nair; Surjith Vattoth
Journal:  Neuroradiol J       Date:  2018-11-06

3.  Relationship between DCE-MRI morphological and functional features and histopathological characteristics of breast cancer.

Authors:  Filippo Montemurro; Laura Martincich; Ivana Sarotto; Ilaria Bertotto; Riccardo Ponzone; Lisa Cellini; Stefania Redana; Piero Sismondi; Massimo Aglietta; Daniele Regge
Journal:  Eur Radiol       Date:  2006-12-06       Impact factor: 5.315

Review 4.  Magnetic resonance imaging: a potential tool in assessing the addition of hyperthermia to neoadjuvant therapy in patients with locally advanced breast cancer.

Authors:  Oana I Craciunescu; Donald E Thrall; Zeljko Vujaskovic; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

5.  The evaluation of esophageal adenocarcinoma using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Eugene Y Chang; Xin Li; Michael Jerosch-Herold; Ryan A Priest; C Kristian Enestvedt; Jingang Xu; Charles S Springer; Blair A Jobe
Journal:  J Gastrointest Surg       Date:  2007-09-01       Impact factor: 3.452

6.  Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?

Authors:  Boram Yi; Doo Kyoung Kang; Dukyong Yoon; Yong Sik Jung; Ku Sang Kim; Hyunee Yim; Tae Hee Kim
Journal:  Eur Radiol       Date:  2014-02-21       Impact factor: 5.315

7.  Microcirculatory fraction (MCF(I)) as a potential imaging marker for tumor heterogeneity in breast cancer.

Authors:  Xiangyu Yang; Ewa Mrozek; Maryam Lustberg; Guang Jia; Steffen Sammet; Christina Sammet; Charles Shapiro; Michael V Knopp
Journal:  Magn Reson Imaging       Date:  2012-08-11       Impact factor: 2.546

8.  Synthesis, characterization, and biological evaluation of integrin alphavbeta3-targeted PAMAM dendrimers.

Authors:  C Andrew Boswell; Peter K Eck; Celeste A S Regino; Marcelino Bernardo; Karen J Wong; Diane E Milenic; Peter L Choyke; Martin W Brechbiel
Journal:  Mol Pharm       Date:  2008-06-07       Impact factor: 4.939

9.  DCE-MRI parameters have potential to predict response of locally advanced breast cancer patients to neoadjuvant chemotherapy and hyperthermia: a pilot study.

Authors:  Oana I Craciunescu; Kimberly L Blackwell; Ellen L Jones; James R Macfall; Daohai Yu; Zeljko Vujaskovic; Terence Z Wong; Vlayka Liotcheva; Eric L Rosen; Leonard R Prosnitz; Thaddeus V Samulski; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2009       Impact factor: 3.914

Review 10.  The choice of the correct imaging modality in breast cancer management.

Authors:  Emilio Bombardieri; Luca Gianni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-05-04       Impact factor: 9.236

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