BACKGROUND: @entity355 is thought to be a precursor of @entity420 . The incidence of @entity420 of the lower esophagus in the Western world is rising and accounts for more than 40% of @entity418 in males. It is not possible to identify which Barrett's @entity1 are at high risk of developing @entity5 . Here we applied a statistical classification strategy to the analysis of magnetic resonance spectroscopy and histopathological data from esophageal biopsies to ascertain whether this risk could be identified in Barrett's @entity1 . METHODS: Tissue specimens from 72 @entity1 (29 noncancer-bearing and 43 @entity5 ) were analyzed by one-dimensional proton magnetic resonance spectroscopy at 8.5 Tesla. Diagnostic correlation was performed between the magnetic resonance spectra and histopathology. The magnetic resonance magnitude spectra were preprocessed, followed by identification of optimal spectral regions, and were then classified by cross-validated linear discriminant analysis of rank orders of the first derivative of magnetic resonance spectra. RESULTS: Magnetic resonance spectroscopy combined with a statistical classification strategy analysis distinguished normal esophagus from @entity420 and Barrett's epithelium with an accuracy of 100%. Barrett's epithelium and @entity420 were distinguished with an accuracy of 98.6% but only when 4 of the Barrett's specimens and 7 of the @entity189 specimens, determined to be "fuzzy" (ie, unable to be accurately assigned to either class) were withdrawn. The 7 @entity5 and 4 Barrett's specimens, determined to be "fuzzy" using the @entity5 (B versus C) classifier, were submitted to the other two classifiers (Barrett's versus normal [B versus N] and normal versus @entity5 [N versus C], respectively). The 4 Barrett's specimens were assigned to Barrett's by the N versus B classifier and to normal (n = 2) or @entity5 (n = 2) classes by the N versus C classifier. The 7 @entity5 specimens were crisply assigned to the @entity5 class (N versus C), or for the B versus N classifier, to the Barrett's class (ie, more similar to Barrett's than to normal tissue). Visual inspection of the spectra from histologically identified Barrett's epithelium showed a gradation from normal to @entity189 . CONCLUSIONS: Proton magnetic resonance spectroscopy of esophageal biopsies combined with a statistical classification strategy data analysis provides a robust diagnosis with a high degree of accuracy for discriminating normal epithelium from @entity420 and @entity355 . Different spectral categories of Barrett's epithelium were identified both by visual inspection and by statistical classification strategy, possibly reflecting the risk of future malignant transformation.

Pathology of XXXX by proton magnetic resonance spectroscopy and a statistical classification strategy.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity355 :: ('MESH:D001471', 'Disease') :: ["Barrett's esophagus"] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancer-bearing', 'cancer', "Barrett's versus cancer", 'malignancy'] @entity189 :: ('MESH:D002277', 'Disease') :: ['carcinoma'] @entity418 :: ('MESH:D004938', 'Disease') :: ['esophageal carcinomas'] @entity420 :: ('MESH:D000230', 'Disease') :: ['esophageal adenocarcinoma', 'adenocarcinoma']
@entity355 :: (MESH:D001471,Disease) :: ['Barrett's esophagus']
