Literature DB >> 9280241

Fine-needle biopsy specimens of benign breast lesions distinguished from invasive cancer ex vivo with proton MR spectroscopy.

W B Mackinnon1, P A Barry, P L Malycha, D J Gillett, P Russell, C L Lean, S T Doran, B H Barraclough, M Bilous, C E Mountford.   

Abstract

PURPOSE: To determine whether invasive breast cancer can be distinguished from benign lesions with proton magnetic resonance (MR) spectroscopy ex vivo on the basis of altered cellular chemistry.
MATERIALS AND METHODS: Two hundred eighteen fine-needle biopsy specimens were obtained in 191 patients undergoing surgery and were analyzed with proton MR spectroscopy. MR spectroscopic and histopathologic findings were compared.
RESULTS: Invasive carcinoma produced increased signal at 3.25 ppm, attributable to choline-containing metabolites. Discrimination between invasive carcinoma (n = 82), benign lesions (n = 106), or carcinoma in situ (n = 17) was based on the resonance intensity at 3.25 ppm standardized to the resonance at 3.05 ppm (P < .001). The ratio of peak height intensities of resonances at 3.25 to those at 3.05 ppm was less than 1.7 in 102 of the 106 normal or benign lesions. All carcinoma in situ specimens with comedonecrosis or a microinvasive component (n = 6) were categorized at MR spectroscopy with invasive carcinoma, while others with in situ disease alone were categorized with benign lesions (n = 11). The sensitivity and specificity of MR spectroscopy in fine-needle biopsy specimens in distinguishing benign lesions from invasive cancer were 95% and 96%, respectively.
CONCLUSION: Proton MR spectroscopy of fine-needle biopsy specimens provides objective diagnostic information that complements findings of conventional preoperative investigations of breast lesions.

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Year:  1997        PMID: 9280241     DOI: 10.1148/radiology.204.3.9280241

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

1.  Serum metabolomic profiles evaluated after surgery may identify patients with oestrogen receptor negative early breast cancer at increased risk of disease recurrence. Results from a retrospective study.

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2.  Prediction of treatment response in head and neck cancer by magnetic resonance spectroscopy.

Authors:  Tedros Bezabeh; Olva Odlum; Richard Nason; Paul Kerr; Donna Sutherland; Rakesh Patel; Ian C P Smith
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3.  In vivo monitoring response to chemotherapy of human diffuse large B-cell lymphoma xenografts in SCID mice by 1H and 31P MRS.

Authors:  Ming Q Huang; David S Nelson; Stephen Pickup; Hui Qiao; E James Delikatny; Harish Poptani; Jerry D Glickson
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

Review 4.  Advances in breast imaging: magnetic resonance imaging.

Authors:  Lia Bartella; Elizabeth A Morris
Journal:  Curr Oncol Rep       Date:  2006-01       Impact factor: 5.075

Review 5.  Proton magnetic resonance spectroscopy of the central, transition and peripheral zones of the prostate: assignments and correlation with histopathology.

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Journal:  MAGMA       Date:  2008-09-17       Impact factor: 2.310

6.  Application of high-resolution 1H MAS NMR spectroscopy to the analysis of intact bones from mice exposed to gamma radiation.

Authors:  Qibin Zhang; Jian Zhi Hu; Donald N Rommereim; Mark K Murphy; Richard P Phipps; David L Huso; John F Dicello
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Review 7.  Biochemical characterization of breast tumors by in vivo and in vitro magnetic resonance spectroscopy (MRS).

Authors:  Uma Sharma; Naranamangalam R Jagannathan
Journal:  Biophys Rev       Date:  2009-01-17

8.  Human in-vivo 31P MR spectroscopy of benign and malignant breast tumors.

Authors:  J M Park; J H Park
Journal:  Korean J Radiol       Date:  2001 Apr-Jun       Impact factor: 3.500

9.  Specificity of choline metabolites for in vivo diagnosis of breast cancer using 1H MRS at 1.5 T.

Authors:  Peter Stanwell; Laurence Gluch; David Clark; Boguslaw Tomanek; Luke Baker; Bruno Giuffrè; Cynthia Lean; Peter Malycha; Carolyn Mountford
Journal:  Eur Radiol       Date:  2004-09-03       Impact factor: 5.315

10.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

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