How to assess background activity: Introducing a histogram-based analysis as a first step for accurate one-step PET quantification Journal Article

Authors: Burger, I. A.; Vargas, H. A.; Beattie, B. J.; Goldman, D. A.; Zheng, J.; Larson, S. M.; Humm, J. L.; Schmidtlein, C. R.
Article 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 18F- fluorodeoxyglucose-PET in January 2012 were retrospectively selected. One lesion was selected and two readers drew a cubical VOI around the lesion (VOI tumour) 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 VOI BG (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. © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins.
Keywords: 18f-fluorodeoxyglucose quantification; background definition; histogram mode; pet segmentation; semiautomatic
Journal Title: Nuclear Medicine Communications
Volume: 35
Issue: 3
ISSN: 0143-3636
Publisher: Lippincott Williams & Wilkins  
Date Published: 2014-03-01
Start Page: 316
End Page: 324
Language: English
DOI: 10.1097/mnm.0000000000000045
PROVIDER: scopus
PUBMED: 24300380
Notes: Export Date: 3 March 2014 -- CODEN: NMCOD -- Source: Scopus
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MSK Authors
  1. Junting Zheng
    131 Zheng
  2. John Laurence Humm
    340 Humm
  3. Steven M Larson
    774 Larson
  4. Bradley Beattie
    107 Beattie
  5. Debra Alyssa Goldman
    94 Goldman
  6. Irene Andrea Burger
    10 Burger