Literature DB >> 3231070

High-resolution 1H NMR spectroscopy in the diagnosis of breast cancer.

S Bradamante1, E Barchiesi, S Pilotti, G Borasi.   

Abstract

Surgical specimens from 22 patients with infiltrating ductal carcinoma of the breast were analyzed by high-resolution 1H NMR spectroscopy at 80 and 300 MHz. Results were compared with those obtained from 9 benign (proliferative dysplasia without atypia) breast samples. NMR spectra at 80 MHz showed well-resolved water and lipid peaks so it was possible to calculate specific T1 and T2 relaxation times. The longitudinal T1 relaxation process of the water was found to be properly represented by a monoexponential function, whereas the transverse T2 decay was well accounted for by a biexponential model. Relaxation time measurements of the water were found to be a valuable tool in breast tissue characterization, in particular (a) mean T1 values from malignant and control populations are well distinguished (P less than 0.0008); (b) mean T2 values of both fast and slow components from the two populations are statistically different (P less than 0.0001) and no overlap exists in the distributions of the second component. Three-hundred-megahertz spectra allowed a detailed analysis of the lipidic component of the sample: malignant tumors were found to present in the region 1.3-1.2 ppm a species characterized by a very slow transverse relaxation time (T2 = 200-1000 ms).

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Year:  1988        PMID: 3231070     DOI: 10.1002/mrm.1910080407

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  4 in total

Review 1.  Early detection of breast cancer: mammography.

Authors:  C J D'Orsi
Journal:  Breast Cancer Res Treat       Date:  1991-05       Impact factor: 4.872

2.  The role of neural networks in improving the accuracy of MR spectroscopy for the diagnosis of head and neck squamous cell carcinoma.

Authors:  R J Gerstle; S R Aylward; S Kromhout-Schiro; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2000 Jun-Jul       Impact factor: 3.825

Review 3.  Magnetic resonance in the detection of breast cancers of different histological types.

Authors:  Rebecca M Mayrhofer; Hsiao Piau Ng; Thomas C Putti; Philip W Kuchel
Journal:  Magn Reson Insights       Date:  2013-04-30

4.  Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy.

Authors:  D J Manton; A Chaturvedi; A Hubbard; M J Lind; M Lowry; A Maraveyas; M D Pickles; D J Tozer; L W Turnbull
Journal:  Br J Cancer       Date:  2006-02-13       Impact factor: 7.640

  4 in total

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