Literature DB >> 15534051

18F-FDG kinetics in locally advanced breast cancer: correlation with tumor blood flow and changes in response to neoadjuvant chemotherapy.

Jeffrey Tseng1, Lisa K Dunnwald, Erin K Schubert, Jeanne M Link, Satoshi Minoshima, Mark Muzi, David A Mankoff.   

Abstract

UNLABELLED: The aim of this study was to characterize the biologic response of locally advanced breast cancer (LABC) to chemotherapy using (15)O-water-derived blood flow measurements and (18)F-FDG-derived glucose metabolism rate parameters.
METHODS: Thirty-five LABC patients underwent PET with (15)O-water and (18)F-FDG before neoadjuvant chemotherapy and 2 mo after the initiation of treatment. Kinetic analysis for (15)O-water was performed using a single tissue compartment model to calculate blood flow; a 2-tissue compartment model was used to estimate (18)F-FDG rate parameters K(1), k(2), k(3), and the flux constant, K(i). Correlations and ratios between blood flow and (18)F-FDG rate parameters were calculated and compared with pathologic tumor response.
RESULTS: Although blood flow and (18)F-FDG transport (K(1)) were correlated before chemotherapy, there was relatively poor correlation between blood flow and the phosphorylation constant (k(3)) or the overall (18)F-FDG flux (K(i)). Blood flow and (18)F-FDG flux were more closely matched after chemotherapy, with changes in k(3) accounting for the increased correlation. These findings were consistent with a decline in both the K(i)/flow and k(3)/flow ratios with therapy. The ratio of (18)F-FDG flux to transport (K(i)/K(1)) after 2 mo of chemotherapy was predictive of ultimate response.
CONCLUSION: The pattern of tumor glucose metabolism in LABC, as reflected by analysis of (18)F-FDG rate parameters, changes after therapy, even in patients with modest clinical responses. This may indicate a change in tumor "metabolic phenotype" in response to treatment. A low ratio of glucose metabolism (reflected by K(i)) to glucose delivery (reflected by K(1) and blood flow) after therapy is associated with a favorable response. Further work is needed to understand the tumor biology underlying these findings.

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Year:  2004        PMID: 15534051

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  46 in total

1.  VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES.

Authors:  Finbarr O'Sullivan; Mark Muzi; David A Mankoff; Janet F Eary; Alexander M Spence; Kenneth A Krohn
Journal:  Ann Appl Stat       Date:  2014-06-01       Impact factor: 2.083

2.  Association between serial dynamic contrast-enhanced MRI and dynamic 18F-FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer.

Authors:  Savannah C Partridge; Risa K Vanantwerp; Robert K Doot; Xiaoyu Chai; Brenda F Kurland; Peter R Eby; Jennifer M Specht; Lisa K Dunnwald; Erin K Schubert; Constance D Lehman; David A Mankoff
Journal:  J Magn Reson Imaging       Date:  2010-11       Impact factor: 4.813

Review 3.  Current and future use of positron emission tomography (PET) in breast cancer.

Authors:  David A Mankoff; William B Eubank
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

4.  A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy.

Authors:  Kristen A Wangerin; Mark Muzi; Lanell M Peterson; Hannah M Linden; Alena Novakova; David A Mankoff; Paul E Kinahan
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Review 5.  Challenges in clinical studies with multiple imaging probes.

Authors:  Kenneth A Krohn; Finbarr O'Sullivan; John Crowley; Janet F Eary; Hannah M Linden; Jeanne M Link; David A Mankoff; Mark Muzi; Joseph G Rajendran; Alexander M Spence; Kristin R Swanson
Journal:  Nucl Med Biol       Date:  2007-10       Impact factor: 2.408

6.  Integrated ¹⁸F-FDG PET/perfusion CT for the monitoring of neoadjuvant chemoradiotherapy in rectal carcinoma: correlation with histopathology.

Authors:  Michael A Fischer; Bart Vrugt; Hatem Alkadhi; Dieter Hahnloser; Thomas F Hany; Patrick Veit-Haibach
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Review 7.  Role of positron emission tomography for the monitoring of response to therapy in breast cancer.

Authors:  Olivier Humbert; Alexandre Cochet; Bruno Coudert; Alina Berriolo-Riedinger; Salim Kanoun; François Brunotte; Pierre Fumoleau
Journal:  Oncologist       Date:  2015-01-05

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Authors:  Soren D Konecky; Regine Choe; Alper Corlu; Kijoon Lee; Rony Wiener; Shyam M Srinivas; Janet R Saffer; Richard Freifelder; Joel S Karp; Nassim Hajjioui; Fred Azar; Arjun G Yodh
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

9.  Blood flow and glucose metabolism in stage IV breast cancer: heterogeneity of response during chemotherapy.

Authors:  Nanda Krak; Jacobus van der Hoeven; Otto Hoekstra; Jos Twisk; Elsken van der Wall; Adriaan Lammertsma
Journal:  Mol Imaging Biol       Date:  2008-08-16       Impact factor: 3.488

10.  Dynamic near-infrared optical imaging of 2-deoxyglucose uptake by intracranial glioma of athymic mice.

Authors:  Heling Zhou; Kate Luby-Phelps; Bruce E Mickey; Amyn A Habib; Ralph P Mason; Dawen Zhao
Journal:  PLoS One       Date:  2009-11-30       Impact factor: 3.240

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