Short-term temperature effect on the HRMAS spectra of human brain tumor biopsies and their pattern recognition analysis

Daniel Valverde-Saubí, Ana Paula Candiota, Maria Antònia Molins, Miguel Feliz, Óscar Godino, Myriam Dávila, Juan José Acebes, Carles Arús

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10 Citations (Scopus)


Object: To investigate the effect of temperature (0 versus 37°C) in the high-resolution magic angle spinning spectroscopy (HRMAS) pattern of human brain tumor biopsies and its influence in recognition-based tumor type prediction. This proof-of-principle study addressed the bilateral discrimination between meningioma (MM) and glioblastoma multiforme (GBM) cases. Materials and methods: Forty-three tumor biopsy samples were collected (20 MM and 23 GBM), kept frozen and later analyzed at 0°C and 37°C by HRMAS. Post-HRMAS histopathology was used to validate the tumor type. Time-course experiments (100 min) at both temperatures were carried out to monitor HRMAS pattern changes. Principal component analysis and linear discriminant analysis were used for classifier development with a training set of 20 biopsies. Results: Temperature-dependent, spectral pattern changes mostly affected mobile lipids and choline-containing compounds resonances and were essentially reversible. Incubation of 3 MM and 3 GBM at 37°C during 100 minutes produced irreversible pattern changes below 13% in a few resonances. Classification performance of an independent test set of 7 biopsies was 100% for the pulse-and-acquire, CPMG at echo times (TE) of 30 ms and 144 ms and Hahn Echo at TE 30 ms at 0°C and 37°C. The performance for Hahn Echo spectra at 136 ms was 83.3% at 0°C and 100% at 37°C. Conclusion: The spectral pattern of mobile lipids changes reversibly with temperature. HRMAS demonstrated potential for automated brain tumor biopsy classification. No advantage was obtained when acquiring spectra at 37°C with respect to 0°C in most of the conditions used for the discrimination addressed. © 2010 ESMRMB.
Original languageEnglish
Pages (from-to)203-215
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Publication statusPublished - 1 Jan 2010


  • Classifier development
  • Diagnosis
  • NMR
  • Spectral pattern changes


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