title: How to assess background activity: introducing a histogram-based analysis as a first step for accurate one-step PET quantification.
abstract: Many common PET segmentation methods for malignant lesions use surrounding background activity as a reference. To date, background has to be measured by drawing a second volume of interest (VOI) in nearby, undiseased tissue. This is time consuming as two VOIs have to be determined for each lesion. The aim of our study was to analyse whether background activity in different organs and body regions could be calculated from the tumour VOI by histogram analyses. The institutional review board waived informed consent for this retrospective study. For each of the following tumour types and areas - head and neck (neck), lung, hepatic metastasis (liver), melanoma (skin), and cervix (pelvis) - 10 consecutive patients with biopsy-proven tumours who underwent (18)F-fluorodeoxyglucose-PET in January 2012 were retrospectively selected. One lesion was selected and two readers drew a cubical VOI around the lesion (VOItumour) and over the background (VOIBG). The mean value of VOIBG was compared with the mode of the histogram, using equivalence testing with an equivalence margin of ±0.5 SUV. Inter-reader agreement was analysed for the mean background, and the mode of the VOItumour histogram was assessed using the concordance correlation coefficient. For both readers, the mode of VOItumour was equivalent to the mean of VOIBG (P<0.0001 for R1 and R2). The inter-reader agreement was almost perfect, with a concordance correlation coefficient of greater than 0.92 for both the mode of VOItumour and the mean of VOIBG. Background activity determined within a tumour VOI using histogram analysis is equivalent to separately measured mean background values, with an almost perfect inter-reader agreement. This could facilitate PET quantification methods based on background values without increasing workload.
authors.affiliation: Departments of aRadiology bMedical Physics cEpidemiology-Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA dDepartment of Radiology, University Hospital Zurich, Zurich, Switzerland.
authors.forename: Irene A
authors.initials: IA
authors.lastname: Burger
authors.forename: Hebert A
authors.initials: HA
authors.lastname: Vargas
authors.forename: Brad J
authors.initials: BJ
authors.lastname: Beattie
authors.forename: Debra A
authors.initials: DA
authors.lastname: Goldman
authors.forename: Junting
authors.initials: J
authors.lastname: Zheng
authors.forename: Steven M
authors.initials: SM
authors.lastname: Larson
authors.forename: John L
authors.initials: JL
authors.lastname: Humm
authors.forename: Charles R
authors.initials: CR
authors.lastname: Schmidtlein
mesh_terms: D000465:Algorithms; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009369:Neoplasms / Q000000981:diagnostic imaging; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000379:methods*; D012189:Retrospective Studies
chemical_list: D019788:Fluorodeoxyglucose F18