Document Type
Article
Publication Date
8-24-2023
Abstract
Hidradenitis suppurativa (HS) is a chronic skin disorder characterized by nodules, comedones, and sinus tracts that often leave prominent scarring. In recent years, non-invasive imaging techniques have been used to assess the inflammatory activity, vascularization, and treatment response of lesions. Specifically, fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) scans may aid in identifying systemic inflammation in patients with HS, improving diagnosis. Inflamed hypermetabolic tissues exhibit a greater uptake of FDG due to increased glucose uptake and vascularity. A systematic review was conducted to summarize the utility of nuclear imaging techniques in the diagnosis and treatment follow-up of HS. PubMed, Scopus, and ScienceDirect databases were utilized for relevant articles discussing the utility of PET scans in managing HS. A total of 51 citations were identified in the initial search. Following the review of titles, abstracts, and duplicates, 43 articles were excluded, leaving a total of eight articles for analysis. Data were extracted from each article, encompassing the number of patients, imaging techniques employed, and final results. An analysis of the data demonstrated that FDG-PET showed evidence of identifying subclinical lesions of the disease, improving the visualization of HS, and providing an objective method of assessing severity.
Recommended Citation
Talasila, Sahithi; Teichner, Eric M.; Subtirelu, Robert C; Xiang, David H; Ayubcha, Cyrus; Werner, Thomas; Alavi, Abass; and Revheim, Mona-Elisabeth, "The Role of FDG-PET in the Evaluation of Hidradenitis Suppurativa: A Systematic Review" (2023). Department of Medicine Faculty Papers. Paper 424.
https://jdc.jefferson.edu/medfp/424
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
37685556
Language
English
Comments
This article is the author's final published version in Journal of Clinical Medicine, Volume 12, Issue 17, September 2023, Article number 5491.
The published version is available at https://doi.org/10.3390/jcm12175491.
Copyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).