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“Relapsing Polychondritis Revisited: Enhanced Lesion Detection with Ga-68 FAPI PET/CT over F-18 FDG PET/CT”
*Corresponding author: Dr. Naman Dhir, Department of Nuclear Medicine, AIG Hospitals, Mindspace Road, Gachibowli, Hyderabad, Telangana, 500032, India. drnamandhir@gmail.com
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Received: ,
Accepted: ,
How to cite this article: Dhir N, Jayanthi M, Jaya Prakash KD, G R. “Relapsing Polychondritis Revisited: Enhanced Lesion Detection with Ga-68 FAPI PET/CT over F-18 FDG PET/CT”. Indian J Nucl Med. doi:10.25259/IJNM_183_25
Abstract
Relapsing polychondritis is an autoimmune inflammatory disorder characterised by immune-mediated destruction of cartilaginous and proteoglycan-rich tissues, driven by autoantibodies against type II collagen and activation of macrophages and fibroblasts.
We report a case of a 50-year-old female who presented with multisystemic involvement and nonspecific tracheal inflammation. F-18 FDG (Fluorodeoxy glucose) and Ga-68 FAPI PET/CT (Fibroblast Activating Protein Inhibitor) were done for evaluation. Ga-68 FAPI PET/CT showed enhanced lesion detection over F-18 FDG PET/CT in this case of Relapsing Polychondritis.
Keywords
F-18 FDG PET/CT
Ga-68 FAPI PET/CT
Relapsing polychondritis
A 50-year-old female presented with complaints of hoarseness of voice and throat pain. She also complained of fever, lower limb joint pain and ringing sensation in the right ear for one month. ESR (Erythrocyte Sedimentation Rate) and CRP (C-Reactive Protein) were elevated, IgG4 levels were normal, and ANA (Anti-Nuclear Antibody) by Immunofluorescence was weakly positive. Bronchoscopy showed subglottic stenosis, diffuse circumferential thickening of the trachea, causing ~ 70% luminal narrowing. An endotracheal biopsy was taken that showed mild nonspecific inflammation. Initially, the patient was referred for FDG PET/CT to look for any airway inflammation, multisystem involvement and for possible differential diagnoses.[1] In addition to FDG PET/ CT, a Ga-68 FAPI PET/CT[2,3] was performed for academic and investigational purposes to assess the extent of fibroblast activation and potential subclinical involvement [Fig 1].[4]

- (a) Maximum Intensity Projection image (MIP), (b,c) fused axial and (d) sagittal (e,f,g) images of F-18 FDG PET/CT and corresponding CT images revealed hypo enhancing wall thickening involving cartilaginous area of entire trachea (green arrow in d) (h,i) bilateral main bronchi with associated luminal narrowing and relative sparing of posterior membrane. Fused axial and (j) sagittal and MIP (k) images of Ga-68 FAPI PET/CT and (e,f,g) corresponding CT images established increased extent of disease involvement, including the entire trachea (yellow arrow in j), bilateral bronchi, bilateral aryepiglottic folds (white arrow in h) and multiple bilateral anterior costal cartilages (dotted red arrow in i).
Given FAP expressions in inflammatory and reparative processes, Ga-68 FAPI imaging thus offers superior sensitivity for the detection and characterisation of chronic inflammatory aetiologies like relapsing polychondritis.[5-7]
Author contributions:
ND: Conceptualization, data collection, image analysis, manuscript drafting; MRJ and DJP: Study supervision, interpretation of imaging findings, manuscript revision; RR : Providing images and clinical correlation
Ethical approval:
Institutional Review Board approval is not required.
Declaration of patient consent:
The authors certify that they have obtained all appropriate patient consent forms. In the form, the patient has given consent for their images and other clinical information to be reported in the journal. The patient understand that the patient’s names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Financial support and sponsorship: Nil.
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