ArticleQuantitative imaging in medicine and surgery2023
Differential diagnostic performance of PET/CT in adult-onset still's disease and lymphoma: a retrospective pilot study.
Article in Quantitative imaging in medicine and surgery, 2023. 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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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Precision Management of Tumor-Associated Fever: From Classification to Targeted Intervention.Cancer management and research · 2026Review
- Case Report: Breaking the diagnostic dilemma of "lymphoma-like" presentation: a case of adult-onset Still's disease characterized by generalized lymphadenopathy and extremely elevated ferritin.Frontiers in medicine · 2026Article
- Clinical and Laboratory Discriminators for Tuberculosis and Lymphoma in Adults Presenting with Fever of Unknown Origin: A Prospective Cohort Study.International journal of general medicine · 2026Article
- Advancing Precision Medicine in Adult-Onset Still's Disease: Insights into Biomarkers, Therapies, and COVID-19 Impacts.Mediterranean journal of rheumatology · 2025Review
- Evaluation of clinical biomarkers for differential diagnosis of intravascular lymphoma and Still's disease.Scientific reports · 2025Article
- High Neutrophil Alkaline Phosphatase Activity in Adult-Onset Still's Disease.Rheumatology and therapy · 2025Article
- Diagnostic Dilemma: Adult Onset Still's Disease Mimicking Lymphoma-A Case Report and Literature Review.Case reports in immunology · 2025Article
- Neutrophil-to-ferritin ratio can predict hematological causes of fever of unknown origin.Scientific reports · 2024Article
- Differential diagnosis of lymphoma withJournal of cancer research and clinical oncology · 2023Observational
Corrections and comments
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Authors and funding
18 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Adult-onset still's disease (AOSD) and lymphoma are the common causes of fever of unknown origin (FUO) and show some similar clinical symptoms. This study aimed to establish a reliable and easy-to-used scoring model based on clinical information, laboratory characteristics and Methods: A development cohort including 70 AOSD and 37 lymphoma patients was used to establish a scoring model based on the features of PET/CT images. The scoring model was then validated in a validation cohort of 15 AOSD and 12 lymphoma patients. The features of involved bone marrow, spleen, lymph nodes, and other organs or tissues displayed on PET/CT images were compared. Multiple logistics regression and decision tree analysis were used to establish the scoring model. Results: Four features that could significantly differentiate these two diseases were selected to establish a scoring model discriminating AOSD from lymphoma, including (I) white blood cell (WBC) count ≤10×10 Conclusions: Our scoring model showed good diagnosis performance in distinguishing AOSD from lymphoma.
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Registered trials
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.