Literature DB >> 22380363

T(2)∗ relaxation times of intraductal murine mammary cancer, invasive mammary cancer, and normal mammary gland.

Elizabeth Hipp1, Xiaobing Fan, Sanaz A Jansen, Erica J Markiewicz, James Vosicky, Gillian M Newstead, Suzanne D Conzen, Thomas Krausz, Gregory S Karczmar.   

Abstract

PURPOSE: This study investigates the feasibility of T(2)∗ to be a diagnostic indicator of early breast cancer in a mouse model. T(2)∗ is sensitive to susceptibility effects due to local inhomogeneity of the magnetic field, e.g., caused by hemosiderin or deoxyhemoglobin. In these mouse models, unlike in patients, the characteristics of single mammary ducts containing pure intraductal cancer can be evaluated.
METHODS: The C3(1)SV40Tag mouse model of breast cancer (n = 11) and normal FVB∕N mice (n = 6) were used to measure T(2)∗ of normal mammary gland tissue, intraepithelial neoplasia, invasive cancers, mammary lymph nodes, and muscle. MRI experiments were performed on a 9.4T animal scanner. High resolution (117 microns) axial 2D multislice gradient echo images with fat suppression were acquired first to identify inguinal mammary gland. Then a multislice multigradient echo pulse sequence with and without fat suppression were performed over the inguinal mammary gland. The modulus of a complex double exponential decay detected by the multigradient echo sequence was used to fit the absolute proton free induction decay averaged over a region of interest to determine the T(2)∗ of water and fat signals.
RESULTS: The measured T(2)∗ values of tumor and muscle are similar (∼15 ms), and almost twice that of lymph nodes (∼8 ms). There was a statistically significant difference (p < 0.03) between T(2)∗ in normal mammary tissue (13.7 ± 2.9 ms) and intraductal cancers (11 ± 2.0 ms) when a fat suppression pulse was applied.
CONCLUSIONS: These are the first reported T(2)∗ measurements from single mammary ducts. The results demonstrated that T(2)∗ measurements may have utility for identifying early pre-invasive cancers in mouse models. This may inspire similar research for patients using T(2)∗ for diagnostic imaging of early breast cancer.

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Year:  2012        PMID: 22380363      PMCID: PMC3292598          DOI: 10.1118/1.3684950

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  13 in total

1.  Correlation of high-resolution breast MR imaging with histopathology; validation of a technique.

Authors:  A E Holland; R E Hendrick; H Jin; P D Russ; J O Barentsz; R Holland
Journal:  J Magn Reson Imaging       Date:  2000-06       Impact factor: 4.813

2.  Quantitative analysis of water proton spectral lineshape: a novel source of contrast in MRI.

Authors:  S Foxley; X Fan; D Mustafi; C Yang; M A Zamora; M Medved; G S Karczmar
Journal:  Phys Med Biol       Date:  2008-08-01       Impact factor: 3.609

3.  Spectroscopic imaging of the water resonance with short repetition time to study tumor response to hyperoxia.

Authors:  H Oikawa; H A al-Hallaq; M Z Lewis; J N River; D A Kovar; G S Karczmar
Journal:  Magn Reson Med       Date:  1997-07       Impact factor: 4.668

4.  Liver fat content and T2*: simultaneous measurement by using breath-hold multiecho MR imaging at 3.0 T--feasibility.

Authors:  Declan P O'Regan; Martina F Callaghan; Marzena Wylezinska-Arridge; Julie Fitzpatrick; Rossi P Naoumova; Joseph V Hajnal; Stephan A Schmitz
Journal:  Radiology       Date:  2008-03-18       Impact factor: 11.105

5.  Detection of in situ mammary cancer in a transgenic mouse model: in vitro and in vivo MRI studies demonstrate histopathologic correlation.

Authors:  S A Jansen; S D Conzen; X Fan; T Krausz; M Zamora; S Foxley; J River; G M Newstead; G S Karczmar
Journal:  Phys Med Biol       Date:  2008-09-09       Impact factor: 3.609

6.  The effect of varying spectral resolution on the quality of high spectral and spatial resolution magnetic resonance images of the breast.

Authors:  Milica Medved; Weiliang Du; Marta A Zamora; Xiaobing Fan; Olufunmilayo I Olopade; Peter M MacEneaney; Gillian Newstead; Gregory S Karczmar
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

Review 7.  Screening for breast cancer: an update for the U.S. Preventive Services Task Force.

Authors:  Heidi D Nelson; Kari Tyne; Arpana Naik; Christina Bougatsos; Benjamin K Chan; Linda Humphrey
Journal:  Ann Intern Med       Date:  2009-11-17       Impact factor: 25.391

8.  Magnetization transfer ratio as a predictor of malignancy in breast lesions: preliminary results.

Authors:  Ruth Helena Morais Bonini; Denise Zeotti; Luciano Albuquerque Lima Saraiva; Clovis Simao Trad; Joaquim Moraes Sarmento Filho; Helio Humberto Angotti Carrara; Jurandyr Moreira de Andrade; Antonio Carlos Santos; Valdair Francisco Muglia
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

9.  Sensitivity to tumor microvasculature without contrast agents in high spectral and spatial resolution MR images.

Authors:  Sean Foxley; Xiaobing Fan; Devkumar Mustafi; Chad Haney; Marta Zamora; Erica Markiewicz; Milica Medved; Abbie M Wood; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

10.  Magnetic resonance imaging of the natural history of in situ mammary neoplasia in transgenic mice: a pilot study.

Authors:  Sanaz A Jansen; Suzanne D Conzen; Xiaobing Fan; Erica J Markiewicz; Gillian M Newstead; Gregory S Karczmar
Journal:  Breast Cancer Res       Date:  2009       Impact factor: 6.466

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  3 in total

1.  MRI reveals increased tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer.

Authors:  Devkumar Mustafi; Sully Fernandez; Erica Markiewicz; Xiaobing Fan; Marta Zamora; Jeffrey Mueller; Matthew J Brady; Suzanne D Conzen; Gregory S Karczmar
Journal:  NMR Biomed       Date:  2017-06-29       Impact factor: 4.044

2.  Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer.

Authors:  Devkumar Mustafi; Rebecca Valek; Michael Fitch; Victoria Werner; Xiaobing Fan; Erica Markiewicz; Sully Fernandez; Marta Zamora; Jeffrey Mueller; Olufunmilayo I Olopade; Suzanne D Conzen; Matthew J Brady; Gregory S Karczmar
Journal:  NMR Biomed       Date:  2020-08-05       Impact factor: 4.044

3.  MRI accurately identifies early murine mammary cancers and reliably differentiates between in situ and invasive cancer: correlation of MRI with histology.

Authors:  Devkumar Mustafi; Marta Zamora; Xiaobing Fan; Erica Markiewicz; Jeffrey Mueller; Suzanne D Conzen; Gregory S Karczmar
Journal:  NMR Biomed       Date:  2015-07-07       Impact factor: 4.044

  3 in total

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