title: Half-time bone scintigraphy in prostate and breast cancer patients.
abstract: BACKGROUND
  Developments in image reconstruction techniques for planar imaging, also known as enhanced planar processing (EPP), enable the possibility to reconstruct planar scintigraphic images with low count statistics, providing the opportunity to reduce image acquisition time. In this study, the performance of EPP for oncologic half-time bone scintigraphy images was evaluated.
  
  
  METHODS
  The EPP software was evaluated for different imaging conditions using standardized phantom experiments. Additionally, 51 patients with prostate and breast cancer were prospectively included and underwent bone scintigraphy using a standard and half-time protocol. Independent reading was performed on three image types (standard, half-time non-processed, and half-time EPP) by three observers, scoring the number and anatomical location of lesions, image quality, and diagnostic confidence by which the definitive diagnosis was made.
  
  
  RESULTS
  EPP images had improved contrast and lower noise levels compared to the non-processed half-time images. It was determined that EPP images acquired at double scan speed had similar image quality to the standard non-processed images. There was substantial agreement with respect to diagnosis and diagnostic confidence based on all three image types between the observers. Image quality in the EPP images was higher with respect to the non-processed half-time images, and was comparable to the standard images.
  
  
  CONCLUSIONS
  Diagnostic confidence was not affected by reduction in image acquisition time. There was substantial agreement between all three observers with respect to the diagnosis provided in all three image types. Subjective and objective image quality improved when half-time images were processed with EPP software.
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands - w.grootjans@lumc.nl.
authors.forename: Willem
authors.initials: W
authors.lastname: Grootjans
authors.affiliation: Coimbra Health School, Polytechnic Institute of Coimbra, Coimbra, Portugal.
authors.forename: Sara J
authors.initials: SJ
authors.lastname: Serém
authors.affiliation: Coimbra Health School, Polytechnic Institute of Coimbra, Coimbra, Portugal.
authors.forename: Monique I
authors.initials: MI
authors.lastname: Gomes
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
authors.forename: Linda
authors.initials: L
authors.lastname: Heijmen
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.|MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
authors.forename: Ben F
authors.initials: BF
authors.lastname: Bulten
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
authors.forename: Eddy P
authors.initials: EP
authors.lastname: Mijnheere
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
authors.forename: Rick
authors.initials: R
authors.lastname: Hermsen
authors.affiliation: Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
authors.forename: Wim J
authors.initials: WJ
authors.lastname: van den Broek
mesh_terms: D000368:Aged; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D019047:Phantoms, Imaging; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*; D011877:Radionuclide Imaging / Q000379:methods*; D013997:Time Factors