Literature DB >> 8385259

In vitro characterization of lung cancers by the use of 1H nuclear magnetic resonance spectroscopy of tissue extracts and discriminant factor analysis.

H Hanaoka1, Y Yoshioka, I Ito, K Niitu, N Yasuda.   

Abstract

Using proton magnetic resonance spectroscopy (1H MRS) spectra were obtained in vitro from extracts of four types of lung cancer (squamous cell, adenocarcinoma, large cell, small cell) and normal lung. The hydrophilic phase of the chloroform/methanol-water extracts yielded several distinct peaks. Among them the peak areas for cholines, creatines, glycine, and alanine, and their ratios were calculated and used as parameters to characterize different lung tissues. The ratios, cholines/alanine and glycine/alanine, were significantly (P < 0.001 to P < 0.05) higher for the normal lung than lung cancers. Creatines/glycine and creatines/cholines generally provided good discrimination (P < 0.001 to P < 0.05) between any two types of lung cancer. When data were further analyzed by discriminant factor analysis, there was 81.5 to 90.7% accuracy in predicting between normal lung and each cancer type, or among the four types of lung cancer. These results suggested that 1H MRS might be useful as an adjunct modality in the differential diagnosis of lung cancers.

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Year:  1993        PMID: 8385259     DOI: 10.1002/mrm.1910290403

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


  8 in total

1.  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

2.  Magic angle spinning NMR-based metabolic profiling of head and neck squamous cell carcinoma tissues.

Authors:  Bagganahalli S Somashekar; Pachiyappan Kamarajan; Theodora Danciu; Yvonne L Kapila; Arul M Chinnaiyan; Thekkelnaycke M Rajendiran; Ayyalusamy Ramamoorthy
Journal:  J Proteome Res       Date:  2011-10-18       Impact factor: 4.466

3.  In vivo proton MR spectroscopy of primary tumours, nodal and recurrent disease of the extracranial head and neck.

Authors:  Sotirios Bisdas; Mehran Baghi; Frank Huebner; Cindy Mueller; Rainald Knecht; Marianne Vorbuchner; Jan Ruff; Wolfgang Gstoettner; Thomas J Vogl
Journal:  Eur Radiol       Date:  2006-05-16       Impact factor: 5.315

4.  Can nuclear magnetic resonance (NMR) spectroscopy reveal different metabolic signatures for lung tumours?

Authors:  Iola F Duarte; Cláudia M Rocha; António S Barros; Ana M Gil; Brian J Goodfellow; Isabel M Carreira; João Bernardo; Ana Gomes; Vitor Sousa; Lina Carvalho
Journal:  Virchows Arch       Date:  2010-10-13       Impact factor: 4.064

5.  Artificial neural networks for classification in metabolomic studies of whole cells using 1H nuclear magnetic resonance.

Authors:  D F Brougham; G Ivanova; M Gottschalk; D M Collins; A J Eustace; R O'Connor; J Havel
Journal:  J Biomed Biotechnol       Date:  2010-09-15

Review 6.  Molecular imaging in therapeutic efficacy assessment of targeted therapy for nonsmall cell lung cancer.

Authors:  Yanni Hu; Mei Tian; Hong Zhang
Journal:  J Biomed Biotechnol       Date:  2012-03-21

7.  Proton magnetic resonance spectroscopy of lung cancer in vivo.

Authors:  Sakae Fujimoto; Koichi Minato; Hiroyuki Horikoshi; Satoshi Suga; Masanori Sato; Katsunobu Mashimo; Ryouichi Onozato; Atsushi Fujita
Journal:  Radiol Case Rep       Date:  2020-05-22

Review 8.  Low Tissue Creatine: A Therapeutic Target in Clinical Nutrition.

Authors:  Sergej M Ostojic
Journal:  Nutrients       Date:  2022-03-15       Impact factor: 5.717

  8 in total

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