title: Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography.
abstract: OBJECTIVE
  The aim of this study was to investigate the efficacy of a dedicated software tool for automated volume measurement of breast lesions in contrast-enhanced (CE) magnetic resonance mammography (MRM).
  
  
  METHODS
  The size of 52 breast lesions with a known histopathological diagnosis (three benign, 49 malignant) was automatically evaluated using different techniques. The volume of all lesions was measured automatically (AVM) from CE 3D MRM examinations by means of a computer-aided detection (CAD) system and compared with the size estimates based on maximum diameter measurement (MDM) on MRM, ultrasonography (US), mammography and histopathology.
  
  
  RESULTS
  Compared with histopathology as the reference method, AVM understimated lesion size by 4% on average. This result was similar to MDM (3% understimation, not significantly different) but significantly better than US and mammographic lesion measurements (24% and 33% size underestimation, respectively).
  
  
  CONCLUSIONS
  AVM is as accurate as MDM but faster. Both methods are more accurate for size assessment of breast lesions compared with US and mammography.
authors.affiliation: Diagnostic Imaging Department, Arcispedale S. Maria Nuova, Viale Risorgimento 80, Reggio Emilia, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Levrini
authors.forename: R
authors.initials: R
authors.lastname: Sghedoni
authors.forename: C
authors.initials: C
authors.lastname: Mori
authors.forename: A
authors.initials: A
authors.lastname: Botti
authors.forename: R
authors.initials: R
authors.lastname: Vacondio
authors.forename: A
authors.initials: A
authors.lastname: Nitrosi
authors.forename: M
authors.initials: M
authors.lastname: Iori
authors.forename: F
authors.initials: F
authors.lastname: Nicoli
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D018270:Carcinoma, Ductal, Breast / Q000175:diagnosis; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D018275:Carcinoma, Lobular / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D003287:Contrast Media; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008327:Mammography / Q000379:methods; D008875:Middle Aged; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014463:Ultrasonography
chemical_list: D003287:Contrast Media