PET/CT in Rare Autoimmune Diseases: A Comprehensive Review
Use of Pet/CT in different scenarios on rare and orphan diseases of autoimmune origin
Liset Sánchez Ordúz1, Marylin Acuña Hernandez2, Gerardo H. Cortés Germán3,
OPEN ACCESS
PUBLISHED: 31 December 2024
CITATION: SÁNCHEZ ORDÚZ, Liset; ACUÑA HERNANDEZ, Marylin; CORTÉS GERMÁN, Gerardo H.. Use of Pet/CT in different scenarios on rare and orphan diseases of autoimmune origin. Medical Research Archives, [S.l.], v. 12, n. 12, dec. 2024. Available at: <https://esmed.org/MRA/mra/article/view/5994>.
COPYRIGHT: © 2025 European Society of Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: https://doi.org/10.18103/mra.v12i12.5994
ISSN 2375-1924
Abstract
Autoimmune diseases are on the rise, likely due to a combination of genetic predisposition, dietary changes, climate modifications, and exposure to xenobiotics. These diseases can affect five, people, such as systemic lupus erythematosus, which has a low prevalence of 5 per 10,000 people, are potentially fatal, chronically debilitating, and have a genetic origin.
In the United States, the National Conference of State Legislatures’ defined them as diseases affecting fewer than 200,000 Americans, considering them neglected diseases. Their treatments are not profitable due to their rarity.
This type of pathology presents a challenge in diagnosis, treatment, and follow-up challenges. The biological heterogeneity of autoimmune diseases leads to difficulties in clinical diagnosis, and the lack of specific diagnostic tests complicates the identification of these diseases.
In this review, we will discuss the role of Positron Emission Tomography/Computed Tomography (PET/CT), as it is a non-invasive imaging technique that allows for the execution of staging, prognosis, treatment planning, evaluation of therapeutic response, and follow-up of patients.
Keywords
Autoimmune diseases, PET/CT, rare diseases, orphan diseases, imaging techniques
Introduction
According to the World Health Organization (WHO)¹, orphan or rare diseases include around 5,500 diseases that can affect approximately 30 million people in the United States, according to the U.S. Food and Drug Administration (FDA)².
European Commission³, considering rare diseases have a low prevalence of 5 per 10,000 people, are potentially fatal, chronically debilitating, and have a genetic origin.
In the United States, the National Conference of State Legislatures⁴ defines them as diseases affecting fewer than 200,000 Americans, considering them neglected diseases. Their treatments are not profitable due to their cost.
This type of pathology presents a diagnosis, treatment, and follow-up challenge. The natural history of these diseases needs to be better known and studied. Their biology is complex, leading to difficulties in developing drugs, biological products, and devices to treat these conditions.
For this reason, in 1997, INSERM (French National Institute of Health and Medical Research), with subsequent support from the European Commission starting in 2002, created the Orphanet strategy⁵. This strategy includes multiple medical aspects of this type of pathology, including a comprehensive classification for the methodology explained later.
As for autoimmune diseases, the National Institute of Allergy and Infectious Diseases (NIAID)⁶ and the National Cancer Institute (NCI)⁷ define these pathologies as those in which antibodies are formed that attack the immune system.
The National Health and Nutrition Examination Survey (NHANES), a study program by the Centers for Disease Control and Prevention (CDC), found that approximately 32% of adults aged 60 or older may have at least four autoantibodies. Globally, an increase in the frequency of autoimmune diseases has been observed, with an estimated annual increase in incidence and prevalence of 19.1% and 12.5%, respectively⁸.
In recent years, there has been a rise in the use of Positron Emission Tomography/Computed Tomography (PET/CT), as it is a non-invasive imaging study used as a diagnostic method in various clinical scenarios: detection, classification, staging, prognosis, treatment planning, evaluation of response to therapy, and surveillance in oncological, cardiovascular, neurological, inflammatory, and infectious disorders, among others⁹.
We did not find a specific list of autoimmune and orphan diseases; therefore, we combined the lists to identify orphan autoimmune diseases.
For this reason, this scoping review aims to describe the different PET/CT tracers used in rare or orphan diseases of autoimmune origin, as defined in the ICD-11 classification.
Methodology
REVIEW QUESTION
What utility and characteristics are reported in the literature regarding using PET/CT with its different tracers in autoimmune orphan diseases?
The databases of available orphan diseases from Orphanet and autoimmune diseases from the Global Autoimmune Institute were cross-referenced, resulting in a list of orphan autoimmune diseases.
The study employed the broad population, concept, and context (PCC) framework indicated by the Joanna Briggs Institute for scoping reviews, as illustrated in Figure 1.
ELIGIBILITY CRITERIA
Articles were deemed eligible for inclusion if they reported case reports, case series, descriptive, or analytical observational studies published without date limitation that included the orphan autoimmune diseases from the cross-referenced list created for this study in which a PET/CT study had been conducted.
During the literature review, the following diseases were excluded due to the quantity and quality of available information, which allows for the execution of systematic reviews: polymyositis, immune-mediated necrotizing myopathy, psoriatic arthritis, psoriasis, sarcoidosis, reactive arthritis, rheumatoid arthritis, Sjögren’s syndrome, systemic lupus erythematosus, acute disseminated encephalomyelitis, multiple sclerosis, myopathies, myositis, myasthenia gravis, connective tissue diseases, Guillain-Barré syndrome, IgG4-related disease, giant cell arteritis, antiphospholipid syndrome, granulomatosis with polyangiitis, autoimmune hepatitis, autoimmune pancreatitis, dermatomyositis, acute disseminated encephalomyelitis, and autoimmune diseases of the nervous system.
SEARCH STRATEGY
Initially, considering the methodology described by the Joanna Briggs Institute for scoping reviews, two researchers conducted a systematic search independently in indexed databases such as MEDLINE, OVID (including Embase), Cochrane Library, Epistemonikos, Scielo, LILACS, and JBI Evidence Synthesis, and gray literature such as OpenGrey and GreyNet using all the keywords included in the DECS, MESH, and Entry Terms. Annex 1 contains the search methodology.
SOURCE OF EVIDENCE SELECTION
All search result articles were uploaded to Mendeley Software, and duplicates were removed. Subsequently, two independent reviewers assessed the titles and abstracts, selecting the compositions according to the inclusion and exclusion criteria for the review. When there were disagreements between the reviewers, an additional reviewer was consulted, and an agreement was reached. This section’s results are presented as a flow diagram (Figure 2) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review (PRISMA-ScR) guidelines.
DATA EXTRACTION
For data extraction, two reviewers considered specific details of the articles, such as authors, year of publication, type of study, disease, PET/CT tracer, and main findings.
The items to be assessed by the two reviewers were not disagreeable, and complete information was found in the included articles to evaluate the results.
Results
The results obtained from the literature review are summarized by disease in the tables described below.
Table 1 – Acromegaly
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Bashari et al.¹⁰ | 2020 | Cross-sectional | L-[methyl¹¹C]-methionine or L-[carboxyl¹¹C]methionine | Focal tracer uptake in the lateral sellar and parasellar region |
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Daniel et al.¹¹ | 2021 | Cross-sectional | [⁶⁸Ga]Ga-DOTA-TATE | A significant inverse relationship between postoperative values and the SUVmax at the sellar region |
| Daya et al.¹² | 2021 | Case report | [⁶⁸Ga]Ga-DOTA-TATE | Receptor activity in the pituitary gland due to physiological somatostatin receptor expression |
| Ahsan et al.¹³ | 2021 | Case report | [⁶⁸Ga]Ga-DOTA-TOC | Hyperplastic left adrenal gland with increased radiotracer uptake compared to the right |
| Alobaid et al.¹⁴ | 2023 | Case report | [⁶⁸Ga]Ga-DOTA-PEPTIDE | Intense focus on the uptake of the pituitary gland |
| Haberbosch et al.¹⁵ | 2023 | Case report | L-[methyl¹¹C]-methionine | Uptake on the left side of the sellar region |
| Chiloiro et al.¹⁶ | 2024 | Case report | [¹⁸F]FDG | Excluded the presence of cancer |
| Bakker et al.¹⁷ | 2024 | Case series | [¹⁸F]FET | Suspicious parasellar tracer uptake |
Table 2. Aplastic Anemia, Aplastic Anemia and Systemic Lupus Erythematosus, and Bullous Pemphigoid
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Aplastic Anemia | ||||
| Matsuki et al.¹⁸ | 2024 | Case report | [¹⁸F]FDG | Uptake of [¹⁸F]FDG in pleura and lung |
| Disease: Aplastic Anemia AND Systemic Lupus Erythematosus | ||||
| Dudek et al.¹⁹ | 2024 | Case report | [¹⁸F]FDG | Hypometabolic bone marrow activity |
| Disease: Bullous Pemphigoid | ||||
| Shrestha et al.²⁰ | 2022 | Case report | [¹⁸F]FDG | Left mediastinal lymphadenopathy and lung lesion |
| Grünig et al.²¹ | 2022 | Case report | [¹⁸F]FDG | Multiple small lesions of the skin distant from the known primary tumor locations |
Table 3. Chagas Disease
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Chagas Disease | ||||
| Moll-Bernardes et al.²² | 2020 | Case report | [¹⁸F]FDG and [⁶⁸Ga]Ga-DOTA-TOC | Increased radiotracer uptake in the mid inferoseptal, mid anteroseptal, and basal inferolateral walls of the left ventricle |
| de Oliveira et al.²³ | 2023 | Cross-sectional | [¹⁸F]FDG and [⁶⁸Ga]Ga-DOTA-TOC | [¹⁸F]FDG and [⁶⁸Ga]Ga-DOTA-TOC uptake useful for detection of myocardial inflammation. [⁶⁸Ga]Ga-DOTA-TOC uptake may be associated with the presence of malignant arrhythmia |
Table 4. Castleman’s Disease
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Castleman’s Disease | ||||
| Reddy et al.²⁴ | 2018 | Case series | [¹⁸F]FDG | Uptake in cervical, mediastinal, and pelvic lymph nodes. Sclerotic bone lesions |
| Liu et al.²⁵ | 2023 | Case report | [¹⁸F]FDG | Uptake in mesenteric lymph node and multiple lung nodules with slight FDG uptake |
| Zhang et al.²⁶ | 2023 | Case report | [¹⁸F]FDG | Uptake in abdominal cavity |
| Maqbool et al.²⁷ | 2023 | Case report | [¹⁸F]FDG | Uptake in right-sided neck mass and other lymph nodes of the head and neck |
| Yamauchi et al.²⁸ | 2023 | Case report | [¹⁸F]FDG | [¹⁸F]FDG uptake in idiopathic multicentric Castleman disease was significantly lower than in Hodgkin lymphoma |
| Zuo et al.²⁹ | 2024 | Case report | [⁶⁸Ga]Ga-DOTATATE, [⁶⁸Ga]Ga-Pentixafor | Positive uptake in the retroperitoneal mass |
| Aher P et al.³⁰ | 2024 | Case report | [¹⁸F]FDG | Mixed-density mass with uptake in the right cardiogenic region |
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Mashal et al.³¹ | 2024 | Case report | [¹⁸F]FDG | Uptake in the supraclavicular, mediastinal, and retroperitoneal lymph nodes, along with diffuse uptake in the spleen and soft-tissue nodules in the inferior and medial gluteal regions |
| Hu et al.³² | 2024 | Case report | [¹⁸F]FDG | Uptake in lymph nodes, spleen, bones, bone marrow, and nasopharynx, associated with multicentric Castleman disease |
Table 5. Castleman’s Disease AND POEMS Syndrome and Cogan’s Syndrome
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Castleman’s Disease AND POEMS Syndrome | ||||
| Choe et al.³³ | 2024 | Case report | [¹⁸F]FDG | Multiple lymph nodes, L1 sclerotic lesion, edema, and hepatosplenomegaly |
| Disease: Cogan’s Syndrome | ||||
| Balink et al.³⁴ | 2007 | Case report | [¹⁸F]FDG | Uptake in the wall of the aortic arch; the aorta descends into the lateral wall |
| Örsal et al.³⁵ | 2014 | Case report | [¹⁸F]FDG | Uptake in the walls of the arteries and knees |
| Cabezas-Rodríguez et al.³⁶ | 2019 | Case report | [¹⁸F]FDG | Increased metabolic activity of thoracic aorta and subclavian arteries |
| Matsui et al.³⁷ | 2021 | Case report | [¹⁸F]FDG | Uptake in the aorta, bilateral carotid, iliac arteries, and celiac artery |
| Hafner et al.³⁸ | 2021 | Case report | [¹⁸F]FDG | Multiple liver abscesses and abdominal aortitis |
| Na et al.³⁹ | 2024 | Case report | [¹⁸F]FDG | Uptake in the subclavian and common carotid arteries, aortic arch, thoracic aorta, and coronary |
| Lu et al.⁴⁰ | 2024 | Case report | [¹⁸F]FDG | Uptake in the walls of the right head and arm, the left common carotid artery, and the starting segment of the left subclavian artery |
Table 6. Cold Agglutinin Disease and Churg-Strauss Syndrome
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Cold Agglutinin Disease | ||||
| Nakamoto et al.⁴¹ | 2019 | Case report | [¹⁸F]FDG | Splenomegaly with diffuse uptake in bone marrow |
| Hayashi et al.⁴² | 2023 | Case report | [¹⁸F]FDG | Uptake in vertebral body, iliac bone, and spleen |
| Disease: Churg-Strauss Syndrome | ||||
| Horiguchi et al.⁴³ | 2014 | Case report | [¹⁸F]FDG | Uptake in lymphadenopathy in the mediastinal and hilar region |
Table 7. Eosinophilic Fasciitis
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Eosinophilic Fasciitis | ||||
| Narváez et al.⁴⁴ | 2019 | Case report | [¹⁸F]FDG | Diffuse and symmetrical uptake in the fascia of the legs and thighs |
| Barlet et al.⁴⁵ | 2020 | Case report | [¹⁸F]FDG | Uptakes in the shoulders, wrists, knees, and ankles |
| Song et al.⁴⁶ | 2021 | Case report | [¹⁸F]FDG | Uptakes in subcutaneous fat and muscle |
| Chalopin et al.⁴⁷ | 2021 | Case report | [¹⁸F]FDG | Uptake in bone lesions |
| Barlet et al.⁴⁵ | 2021 | Case report | [¹⁸F]FDG | Diffuse uptake of the muscular fasciae |
| Laria et al.⁴⁸ | 2022 | Case report | [¹⁸F]FDG | Diffuse uptake in the muscles of the forearms and both lower limbs |
| Amrane et al.⁴⁹ | 2022 | Case report | [¹⁸F]FDG | Uptake in subcutaneous nodules, muscle fascia, and diffuse uptake on the synovial walls of both knees |
| Benzaquen et al.⁵⁰ | 2023 | Case report | [¹⁸F]FDG | Generalized hypermetabolism of the fasciae and foci adjacent to the muscles and subcutaneous tissue |
| Fevrier et al.⁵¹ | 2024 | Case report | [¹⁸F]FDG | Uptake of fascia in the lower and upper limbs |
Table 8. Henoch-Schönlein Purpura and Immune Thrombocytopenic Purpura
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Henoch-Schönlein Purpura | ||||
| Sabzevari et al.⁵² | 2018 | Case report | [¹⁸F]FDG | Uptake in subclavian, brachiocephalic, abdominal aortic, iliac, and femoral arteries |
| Gultekin et al.⁵³ | 2021 | Case report | [¹⁸F]FDG | Uptake in cavitary nodular lesions and hilar lymphadenomegaly |
| Disease: Immune Thrombocytopenic Purpura | ||||
| Razanamahery et al.⁵⁴ | 2021 | Case report | [¹⁸F]FDG | Uptake in peri-nephric fat fibrosis, mediastinal lymph nodes, and a low tracer uptake on the testis |
| Ren et al.⁵⁵ | 2023 | Case report | [¹⁸F]FDG | Uptake in lymph nodes in numerous regions of the body |
Table 9. Neuromyelitis Optica Spectrum Disorder
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Neuromyelitis Optica Spectrum Disorder | ||||
| Alkhaja et al.⁵⁶ | 2021 | Case report | [¹⁸F]FDG | Uptake along the entire spinal cord, suggestive of extensive acute myelitis |
| Ding et al.⁵⁷ | 2021 | Case report | [¹⁸F]FDG | Uptake in the cervicothoracic, thoracic, and rectal wall |
| Fujisawa et al.⁵⁸ | 2023 | Case report | [¹⁸F]Flutemetamol, [¹⁸F]MK6240 (TAU), [¹⁸F]FDG | [¹⁸F]Flutemetamol uptake in the frontal and parietal lobes, posterior cingulate gyrus, and precuneus. [¹⁸F]MK6240 (TAU) uptake in the medial temporal, parietal, and frontal lobes; posterior cingulate gyrus; and precuneus. [¹⁸F]FDG showing decreased glucose metabolism from the inferior parietal lobule to the mid posterior temporal lobe, frontal association cortex, posterior cingulate cortex, and precuneus, predominantly on the left side |
| Vîlciu et al.⁵⁹ | 2023 | Case report | [¹⁸F]FDG | Uptake in pulmonary neoplasm with lymph node and adrenal metastases |
Table 10. Paraneoplastic Pemphigus
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Paraneoplastic Pemphigus | ||||
| Dhull et al.⁶⁰ | 2016 | Case report | [¹⁸F]FDG | Uptake in the left paravertebral region at the level of the left renal hilum, oral cavity, and left lung upper lobe |
| Lim et al.⁶¹ | 2017 | Case report | [¹⁸F]FDG | Uptake in multiple enlarged lymph nodes |
| Khurana et al.⁶² | 2020 | Case report | [¹⁸F]FDG | Uptake mass lesion in the middle mediastinum in the subcarinal location extending into the transverse pericardial sinus |
| Chen et al.⁶³ | 2020 | Case report | [¹⁸F]FDG | Uptake soft tissue mass in the right anterior-inferior mediastinum, right parasternal adenopathy, and pleural effusion |
| Liska et al.⁶⁴ | 2022 | Case report | [¹⁸F]FDG | Uptake in left tonsil area |
| Daniels et al.⁶⁵ | 2023 | Case report | [¹⁸F]FDG | Uptake in the mediastinum |
| Lu et al.⁶⁶ | 2024 | Case report | [¹⁸F]FDG | Uptake in neck lymphadenopathies |
Table 11. Paraneoplastic Pemphigus AND Castleman’s Disease and Paraneoplastic Cerebellar Degeneration
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Paraneoplastic Pemphigus AND Castleman’s Disease | ||||
| Fu et al.⁶⁷ | 2018 | Case report | [¹⁸F]FDG | Uptake in the oral lesions and a heterogeneous soft tissue mass in the lower right retroperitoneum |
| Liu et al.⁶⁸ | 2011 | Case series | [¹⁸F]FDG | Uptake in the head of the pancreas |
| Fu et al.⁶⁹ | 2018 | Case report | [¹⁸F]FDG | Uptake mass in the lower right retroperitoneum |
| Wang et al.⁷⁰ | 2019 | Case report | [¹⁸F]FDG | Uptake in the head of the pancreas |
| Relvas et al.⁷¹ | 2023 | Case report | [¹⁸F]FDG | Uptake in retroperitoneal lymphadenopathies and lobulated mass |
| Disease: Paraneoplastic Cerebellar Degeneration | ||||
| Rodriguez Herrera et al.⁷² | 2023 | Case report | [¹⁸F]FDG | Uptake in orbitofrontal hypermetabolism, mesial temporal, and bilateral regions |
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Takahashi et al.⁷³ | 2024 | Case report | [¹⁸F]FDG / [¹²³I]IMP SPECT | [¹⁸F]FDG uptake in lung tumor and mediastinal lymph nodes; [¹²³I]IMP SPECT shows normal blood flow in the cerebellum |
| Kalantari et al.⁷⁴ | 2024 | Case report | [¹⁸F]FDG | Uptake in the annex |
| Imai et al.⁷⁵ | 2022 | Case report | [¹⁸F]FDG | Uptake in the left neck |
Table 12. POEMS Syndrome
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: POEMS Syndrome | ||||
| Pan et al.⁷⁶ | 2015 | Cross-sectional | [¹⁸F]FDG | Uptake in solitary and multiple hypermetabolic bone lesions, lymph nodes, hepatomegaly, splenomegaly, central nervous system, serous cavity effusion, and gynecomastia |
| Allam et al.⁷⁷ | 2022 | Case report | [¹⁸F]FDG | Uptake in axillary and retropectoral lymph nodes and systemic fibrosis process involving pleural spaces, mediastinum, and pelvis |
| Genicon et al.⁷⁸ | 2022 | Case report | [¹⁸F]FDG | Uptake in osteolytic lesion in the right femur |
| Gültekin et al.⁷⁹ | 2023 | Case report | [¹⁸F]FDG | Uptake diffuses in muscle |
| Aderhold et al.⁸⁰ | 2024 | Case report | [¹⁸F]FDG | Uptake in osteosclerotic pelvic, vertebral, and clavicular bone lesions and hilar lymphadenopathy |
Table 13. Polyarteritis Nodosa and Postural Orthostatic Tachycardia Syndrome
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Disease: Polyarteritis Nodosa | ||||
| Kang et al.⁸¹ | 2023 | Case report | [¹⁸F]FDG | Uptake in lower extremities |
| Taimen et al.⁸² | 2024 | Case report | [¹⁸F]FDG | Uptake in peri- and intramuscular arterial areas of the lower extremities and liver |
| Authors | Year of publication | Type of Study | PET/CT Tracer | Main Findings |
|---|---|---|---|---|
| Makiyama et al.⁸³ | 2024 | Case report | [¹⁸F]FDG | Uptake in nodule in the right lower lung, right pulmonary artery embolism, and precordial subcutaneous tissue nodule |
| Philip et al.⁸⁴ | 2024 | Case report | [¹⁸F]FDG | Uptake in soft tissues and intramuscular arterial tree |
| Taniguchi et al.⁸⁵ | 2024 | Case report | [¹⁸F]FDG | Uptake in medium-sized vessels |
| Disease: Postural Orthostatic Tachycardia Syndrome | ||||
| Khan et al.⁸⁶ | 2022 | Case report | [⁶⁸Ga]Ga-DOTA-TATE | Uptake associated with the contrast agent in both adrenal glands and calcified thyroid nodules |
| Disease: Scleroderma | ||||
| Diaz Menindez et al.⁸⁷ | 2023 | Case report | [¹⁸F]FDG | Uptake in multifocal osseous regions, particularly in the spine and pelvis |
Discussion
Autoimmune diseases are characterized by spontaneous hyperactivity of the immune system, leading to the production of additional antibodies, which often results in inflammation that can affect all organs and tissues of the body, especially lymphoid tissues, joints, skin, muscles, salivary glands, blood vessels, and bone marrow.⁸⁸
As established in the results section, multiple autoimmune diseases are considered within the spectrum of orphan diseases. Therefore, from the perspective of molecular diagnostic studies, this review aimed to compile the available findings in the literature so that readers can become familiar with these types of pathologies and find a diagnostic aid for these conditions in these studies.
As for the pathophysiology, inflammation is the host’s initial defense against pathogens and other triggering stimuli. It plays an essential role in tissue repair and eliminating harmful pathogens. However, an inadequate response can damage normal cells adjacent to the affected tissue. In many autoimmune diseases, sterile inflammation occurs.
Molecular imaging allows for the visualization, characterization, and measurement of biological processes at the molecular and cellular levels, with PET/CT being the most widely used molecular imaging study in clinical practice.⁸⁹
The European Association of Nuclear Medicine (EANM), in conjunction with the Society of Nuclear Medicine and Molecular Imaging (SNMMI), published a guideline in 2013 on the use of [¹⁸F]FDG in inflammation and infection based on the evidence available at that time. In 2018, along with the PET Interest Group (PIG) and endorsed by the American Society of Nuclear Cardiology, they published a guideline on the use of PET/CT in the diagnosis and follow-up of patients with suspected or diagnosed large vessel vasculitis and Polymyalgia Rheumatica.
Over the last 10 years, the use of this diagnostic tool has rapidly evolved, and it is now considered the most utilized imaging study in nuclear medicine for diagnosing and treating various inflammatory disorders.⁹⁰
[¹⁸F]FDG is the most commonly used PET tracer; as a glucose analog, it is taken up by cells with high metabolic activity.
[¹⁸F]FDG, once phosphorylated within the cell, is not further metabolized, resulting in its continuous accumulation inside cells. This property allows PET equipment to detect the emitted photons for imaging purposes (Molecular Imaging of Autoimmune Diseases and Inflammation).
Inflammatory processes exhibit increased FDG uptake because infiltrating inflammatory cells express high levels of glucose transporters, especially GLUT1 and GLUT3. These cells also demonstrate greater glucose consumption than non-inflammatory peripheral cells, leading to increased glucose metabolism due to oxidative bursts in inflammatory cells.⁹¹
This is evidenced in our review, where the predominant finding across all the pathologies discussed was an increased uptake of FDG in affected organs or tissues. Some reports show SUVmax values greater than 4 in Castleman’s disease (CD), generalized Wegener’s granulomatosis, POEMS syndrome, and eosinophilic fasciitis. Additionally, PET/CT helped guide the diagnosis by identifying primary tumors in some cases of metastatic lesions in patients with paraneoplastic pemphigus.
Cogan’s syndrome is a rare disease of unknown origin characterized by ocular inflammation and audiovestibular symptoms; only about 5% of patients present with systemic manifestations such as vasculitis or aortitis. In this context, PET/CT facilitated the diagnosis of systemic involvement by revealing increased metabolism in the walls of blood vessels such as the thoracic aorta and subclavian arteries, as reported by Cabezas-Rodríguez et al.³⁶ and Lu et al.⁴⁰, with vasculitis affecting the brachiocephalic trunk, common carotid artery, and left subclavian artery.
Yamauchi et al. reported a case of bilateral supraclavicular and mediastinal lymph nodes showing significant FDG uptake (SUVmax 11.5). An initial biopsy of the left supraclavicular lymph node showed no evidence of malignancy and was initially diagnosed as idiopathic multicentric Castleman disease, later confirmed as Hodgkin lymphoma. PET/CT was crucial in reassessing the appropriateness of the initial diagnosis. Yamauchi and colleagues highlighted that [¹⁸F]FDG PET/CT can differentiate between the two pathologies, showing significantly lower FDG uptake and SUVmax values in non-malignant conditions compared to Hodgkin lymphoma.²⁸
Patients with chronic autoimmune and inflammatory diseases have been reported to have a higher risk of malignancy, with 2.4- and 2-fold increased risks for esophageal and pancreatic cancers, respectively. For lymphoma, the risk is approximately two times higher in patients with rheumatoid arthritis, 3–6 times higher in systemic lupus erythematosus, and 9–18 times higher in Sjögren syndrome. In dermatomyositis and polymyositis, an incidence of seven times greater cancer risk compared to the general population has been reported.⁸⁸
Oh JR et al. suggest that PET/CT is valuable in differentiating malignancy from inflammation in systemic autoimmune diseases, especially using the spleen/liver SUVmax ratio—1.5 ± 0.6 in autoimmunity vs. 0.8 ± 0.02 in malignancy patients.⁸³
In conditions such as acromegaly, Chagas disease, and Castleman disease, case reports have shown PET/CT studies using ⁶⁸Ga-DOTATATE and ⁶⁸Ga-DOTATOC, demonstrating increased uptake of these radiopharmaceuticals. Their implementation is based on the overexpression of somatostatin receptors by inflammatory and immune cells in various tissues and blood vessels.⁹²
Potential uses also include amino acid-based tracers such as L-[methyl-¹¹C]-methionine (used by Bashari et al.¹⁰ and Haber-Bosch et al.¹⁵) or [¹⁸F]FET (used by Bakker et al.¹⁷) in acromegaly cases with suspected residual lesions in the central nervous system, guided by persistent biochemical abnormalities.
In the case of [⁶⁸Ga]Ga-Pentixafor, Zuo et al.²⁹ report that a higher CXCR4 expression may be present in a heterogeneous lymphoproliferative disease such as Castleman’s disease.
For [¹⁸F]Flutemetamol and [¹⁸F]MK6240 (TAU), neuromyelitis optica associated with Alzheimer’s disease is described as characterized by a marked accumulation of amyloid beta (Aβ) and a high degree of tau deposition, respectively.⁵⁸
With the above in mind, the use of PET/CT with different tracers in the case of orphan autoimmune diseases has expanded in recent years, as it allows for imaging of the processes influencing the microenvironment of inflamed tissues. This plays a significant role in the persistence of inflammatory processes in autoimmune diseases and provides a comprehensive view of systemic involvement, which can lead to more precise guidance for the treatment and follow-up of these diseases.
Conflict of Interest:
The authors have no conflicts of interest to declare.
Funding Statement:
None.
Acknowledgements:
None.
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