Are MTV and TLG Accurate for Quantifying the Intensity of Brown Adipose Tissue Activation?-Reference-Cited by-同舟云学术

Are MTV and TLG Accurate for Quantifying the Intensity of Brown Adipose Tissue Activation?

Published:2024-01-11 Issue:1 Volume:12 Page:151
ISSN:2227-9059
Container-title:Biomedicines
language:en
Short-container-title:Biomedicines

Author:

Jalloul Wael¹^ORCID,Moscalu Mihaela²^ORCID,Moscalu Roxana³,Jalloul Despina¹,Grierosu Irena Cristina¹,Gutu Mihaela⁴,Haba Danisia⁵,Mocanu Veronica⁶^ORCID,Gutu Mihai Marius⁴^ORCID,Stefanescu Cipriana¹

Affiliation:

1. Department of Biophysics and Medical Physics-Nuclear Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania

2. Department of Preventive Medicine and Interdisciplinarity, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania

3. Manchester Academic Health Science Centre, Cell Matrix Biology and Regenerative Medicine, The University of Manchester, Manchester M13 9PT, UK

4. County Hospital of Emergency “Saint John the New”, 720224 Suceava, Romania

5. Department 1 Surgery, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania

6. Department of Morpho-Functional Sciences (Pathophysiology), “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania

Abstract

Recent research has suggested that one novel mechanism of action for anti-obesity medications is to stimulate the activation of brown adipose tissue (BAT). 18FDG PET/CT remains the gold standard for defining and quantifying BAT. SUVmax is the most often used quantification tool in clinical practice. However, this parameter does not reflect the entire BAT volume. As a potential method for precisely evaluating BAT, we have utilised metabolic tumour volume (MTV) and total lesion glycolysis (TLG) to answer the question: Are MTV and TLG accurate in quantifying the intensity of BAT activation? After analysing the total number of oncological 18F-FDG PET/CT scans between 2021–2023, we selected patients with active BAT. Based on the BAT SUVmax, the patients were divided into BAT-moderate activation (MA) vs. BAT-high activation (HA). Furthermore, we statistically analysed the accuracy of TLG and MTV in assessing BAT activation intensity. The results showed that both parameters increased their predictive value regarding BAT activation, and presented a significantly high sensitivity and specificity for the correct classification of BAT activation intensity. To conclude, these parameters could be important indicators with increased accuracy for classifying BAT expression, and could bring additional information about the volume of BAT to complement the limitations of the SUVmax.

Publisher

MDPI AG

Link

https://www.mdpi.com/2227-9059/12/1/151/pdf

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