title: Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE.
abstract: OBJECTIVE
  Different TE can be used for obtaining MR spectra of brain tumors. The purpose of this study was to determine the influence of the TE used in brain tumor classification by comparing the performance of spectra obtained at two different TE (30 ms and 136 ms).
  
  
  METHODS
  One hundred fifty-one studies of patients with brain tumors (37 meningiomas, 12 low grade astrocytomas, 16 anaplastic astrocytomas, 54 glioblastomas, and 32 metastases) were retrospectively selected from a series of 378 consecutive examinations of brain masses. Single voxel proton MR spectroscopy at TE 30 ms and 136 ms was performed with point-resolved spectroscopy in all cases. Fitted areas of nine resonances of interest were normalized to water. Tumors were classified into four groups (meningioma, low grade astrocytoma, anaplastic astrocytoma, and glioblastoma-metastases) by means of linear discriminant analysis. The performance of linear discriminant analysis at each TE was assessed by using the leave-one-out method.
  
  
  RESULTS
  Tumor classification was slightly better at short TE (123 [81%] of 151 cases correctly classified) than at long TE (118 [78%] of 151 cases correctly classified). Meningioma was the only group that showed higher sensitivity and specificity at long TE. Improved results were obtained when both TE were considered simultaneously: the suggested diagnosis was correct in 105 (94%) of 112 cases when both TE agreed, whereas the correct diagnosis was suggested by at least one TE in 136 (90%) of 151 cases.
  
  
  CONCLUSIONS
  Short TE provides slightly better tumor classification, and results improve when both TE are considered simultaneously. Meningioma was the only tumor group in which long TE performed better than short TE.
authors.affiliation: Institut de Diagnòstic per la Imatge, CSU de Bellvitge, Autovía de Castelldefels km 2.7, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
authors.forename: Carles
authors.initials: C
authors.lastname: Majós
authors.forename: Margarida
authors.initials: M
authors.lastname: Julià-Sapé
authors.forename: Juli
authors.initials: J
authors.lastname: Alonso
authors.forename: Marta
authors.initials: M
authors.lastname: Serrallonga
authors.forename: Carles
authors.initials: C
authors.lastname: Aguilera
authors.forename: Juan J
authors.initials: JJ
authors.lastname: Acebes
authors.forename: Carles
authors.initials: C
authors.lastname: Arús
authors.forename: Jaume
authors.initials: J
authors.lastname: Gili
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001254:Astrocytoma / Q000175:diagnosis*; D001932:Brain Neoplasms / Q000145:classification / Q000175:diagnosis*; D016002:Discriminant Analysis; D005260:Female; D005909:Glioblastoma / Q000175:diagnosis*; D006801:Humans; D016014:Linear Models; D009682:Magnetic Resonance Spectroscopy / Q000592:standards; D008297:Male; D008577:Meningeal Neoplasms / Q000175:diagnosis*; D008579:Meningioma / Q000175:diagnosis*; D008875:Middle Aged; D009362:Neoplasm Metastasis / Q000175:diagnosis; D011522:Protons; D012680:Sensitivity and Specificity; D013997:Time Factors
chemical_list: D011522:Protons