Evidence map›Paper›PMID 36224438›Full record

ArticleEuropean journal of hybrid imaging2022

Variations induced by body weight and background lesion normalization in standardized uptake value estimated by F18-FDG PET/CT.

Eman M Badawe, Hesham Abdel Gawad, Mohamed S El-Nagdy, Magdy M Khalil

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Article in European journal of hybrid imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. SUV normalisation and reference tissue selection for [European journal of nuclear medicine and molecular imaging · 2025
    Observational
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  7. Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Eman M BadaweDepartment of Physics, Faculty of Science, Helwan University, Cairo, Egypt.
Hesham Abdel GawadFaculty of Medicine, Kasr Al-Aini Center for Nuclear Medicine and Oncology (NEMROK), Cairo University Hospitals, Cairo University, Giza, Egypt.
Mohamed S El-NagdyDepartment of Physics, Faculty of Science, Helwan University, Cairo, Egypt.
Magdy M KhalilDepartment of Physics, Faculty of Science, Helwan University, Cairo, Egypt. magdy_khalil@hotmail.com.ORCID http://orcid.org/0000-0003-2087-5229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis work aims to study the impact of different SUV variants in terms of mean and maximum measures as well as various normalization methods with respect to body weight, body mass index, body surface area, and lean body mass in patients with lymphoma.

methodsSixty-nine patients (34 male-35 female) were retrospectively selected. All patients had undergone F18-FDG PET/CT using the standard imaging protocol. In the first part of this study, SUVmean and SUVmax of patients' lesions and three background sites including liver, aorta, and muscle were determined. Then, the normalization of lesion SUV to body weight and body background sites was performed. The ratio of lesion SUVmax to body background sites (muscle, aorta, and liver) SUVmax was determined in addition to the ratio of lesion SUVmean to body background sites SUVmean. The second part of the study included the calculations of the body mass index (BMI), body surface area (BSA), and lean body mass (LBM). The normalization of lesion, liver, aorta, and muscle SUV to BMI, BSA, and LBM was calculated and compared to each other.

resultsAfter performing the appropriate statistical calculations, the results showed that there is a significant difference in SUV measurements between the three background sites. Lesions normalized to the liver were significantly lower than those normalized to aorta and muscle and the results also showed a higher magnitude of lesions normalized to muscle in comparison to the aorta. The SUVmax and SUVmean normalized to different body weight indices showed the lowest variation with BSA and BMI while being increasingly higher with lean body mass using the two methods James and Janmahasatian, respectively, and then highest with body weight.

conclusionThe SUVmax and SUVmean showed lower variance in comparison to other background regions. Less variation was also remarkable in SUVmean normalized to BSA and Janma lean mass and also when SUVmax is normalized to James lean body mass. The SUVmax normalized to lean (i.e., James) as well as SUVmean normalized to lean (i.e., Janma) and BSA showed a significant independence with body weight.

Indexed as

Body mass indexBody surface areaBody weightLean body massPET/CTSUV normalization

Identifiers

PMID36224438
PMCPMC9556683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.