Literature DB >> 12594084

Functional magnetic resonance of human breast tumors: diffusion and perfusion imaging.

Shantanu Sinha1, Usha Sinha.   

Abstract

This review is focused on two relatively new developments in magnetic resonance imaging (MRI) and their application to breast lesion characterization: diffusion and perfusion MRI. Diffusion MRI measures the mobility of the water protons and thus provides a window to tissue microstructure. Perfusion MRI measures the rate at which blood is delivered to tissue and thus provides information about microvasculature. Because both tissue structure and vasculature are likely to change in disease states, measurement of diffusion and perfusion may have direct physiologic relevance. This review covers topics related to the imaging sequences, image analysis, and clinical studies for diffusion and perfusion breast MRI. Preliminary studies show that the apparent diffusion coefficient (ADC) is a marker of cell density and can distinguish malignant from benign lesions. Perfusion MR also shows promise for breast tumor characterization: malignant tumors have consistently higher relative tissue blood volumes (rTBV) than normal and benign tumors. Additional research is required with large patient cohorts to establish these two techniques on a clinical footing.

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Year:  2002        PMID: 12594084     DOI: 10.1111/j.1749-6632.2002.tb04891.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  14 in total

1.  Diffusion-weighted magnetic resonance imaging in focal breast lesions: analysis of 78 cases with pathological correlation.

Authors:  F Fornasa; L Pinali; A Gasparini; E Toniolli; S Montemezzi
Journal:  Radiol Med       Date:  2010-10-06       Impact factor: 3.469

2.  Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer.

Authors:  E E Sigmund; G Y Cho; S Kim; M Finn; M Moccaldi; J H Jensen; D K Sodickson; J D Goldberg; S Formenti; L Moy
Journal:  Magn Reson Med       Date:  2011-02-01       Impact factor: 4.668

3.  Dynamic contrast-enhanced and diffusion MRI show rapid and dramatic changes in tumor microenvironment in response to inhibition of HIF-1alpha using PX-478.

Authors:  Bénédicte F Jordan; Matthew Runquist; Natarajan Raghunand; Amanda Baker; Ryan Williams; Lynn Kirkpatrick; Garth Powis; Robert J Gillies
Journal:  Neoplasia       Date:  2005-05       Impact factor: 5.715

Review 4.  Nodal imaging in the neck: recent advances in US, CT and MR imaging of metastatic nodes.

Authors:  Takashi Nakamura; Misa Sumi
Journal:  Eur Radiol       Date:  2007-01-25       Impact factor: 5.315

5.  Accuracy of diffusion kurtosis imaging in characterization of breast lesions.

Authors:  Alexandra Christou; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Haralambos Bougias
Journal:  Br J Radiol       Date:  2017-04-06       Impact factor: 3.039

6.  Apparent diffusion coefficient value in invasive ductal carcinoma at 3.0 Tesla: is it correlated with prognostic factors?

Authors:  Inanc Guvenc; Sinan Akay; Selami Ince; Ramazan Yildiz; Zafer Kilbas; Fahrettin G Oysul; Mustafa Tasar
Journal:  Br J Radiol       Date:  2016-02-08       Impact factor: 3.039

Review 7.  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

8.  Clinical potential of an antitumor drug sensitivity test and diffusion-weighted MRI in a patient with a recurrent solid pseudopapillary tumor of the pancreas.

Authors:  Tomoharu Shimizu; Satoshi Murata; Eiji Mekata; Tohru Miyake; Hajime Abe; Yoshimasa Kurumi; Yoshihiro Endo; Ryoji Kushima; Tohru Tani
Journal:  J Gastroenterol       Date:  2007-11-22       Impact factor: 7.527

9.  Fourier component imaging of water resonance in the human breast provides markers for malignancy.

Authors:  Milica Medved; Gillian M Newstead; Xiaobing Fan; Yiping P Du; Olufunmilayo I Olopade; Akiko Shimauchi; Marta A Zamora; Gregory S Karczmar
Journal:  Phys Med Biol       Date:  2009-09-09       Impact factor: 3.609

10.  Modern breast cancer detection: a technological review.

Authors:  Adam B Nover; Shami Jagtap; Waqas Anjum; Hakki Yegingil; Wan Y Shih; Wei-Heng Shih; Ari D Brooks
Journal:  Int J Biomed Imaging       Date:  2009-12-28
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