{"doi":"10.1007/s00259-020-05047-8","title":"18F-FDG PET/CT versus anatomic imaging for evaluating disease extent and clinical trial eligibility in Erdheim-Chester disease: results from 50 patients in a registry study","abstract":"Abstract Objectives The aim of this study was to [1] characterize distribution of Erdheim-Chester Disease (ECD) by 18 F-FDG PET/CT and [2] determine the utility of metabolic ( 18 F-FDG PET/CT) imaging versus anatomic imaging (CT or MRI) in evaluating ECD patients for clinical trial eligibility. Methods 18 F-FDG PET/CT and corresponding CT or MRI studies for ECD patients enrolled in a prospective registry study were reviewed. Sites of disease were classified as [1] detectable by 18 F-FDG PET only, CT/MRI only, or both and as [2] measurable by modified PERCIST (mPERCIST) only, RECIST only, or both. Descriptive analysis was performed and paired t test for between-group comparisons. Results Fifty patients were included (mean age 51.5 years; range 18–70 years). Three hundred thirty-three disease sites were detected among all imaging modalities, 188 (56%) by both 18 F-FDG PET and CT/MRI, 67 (20%) by 18 F-FDG PET only, 75 (23%) by MRI brain only, and 3 (1%) by CT only. Of 178 disease sites measurable by mPERCIST or RECIST, 40 (22%) were measurable by both criteria, 136 (76%) by mPERCIST only, and 2 (1%) by RECIST only. On the patient level, 17 (34%) had mPERCIST and RECIST measurable disease, 30 (60%) had mPERCIST measurable disease only, and 0 had RECIST measurable disease only ( p < 0.0001). Conclusion Compared with anatomic imaging, 18 F-FDG PET/CT augments evaluation of disease extent in ECD and increases identification of disease sites measurable by formal response criteria and therefore eligibility for clinical trials. Complementary organ-specific anatomic imaging offers the capacity to characterize sites of disease in greater anatomic detail. Trial registration ClinicalTrials.gov Identifier: NCT03329274","journal":"European Journal of Nuclear Medicine and Molecular Imaging","year":2020,"id":102684,"datarank":1.1548275856933867,"base_score":3.295836866004329,"endowment":3.295836866004329,"self_citation_contribution":0.4943755299006494,"citation_network_contribution":0.6604520557927374,"self_endowment_contribution":0.4943755299006494,"citer_contribution":0.6604520557927374,"corpus_percentile":null,"corpus_rank":null,"citation_count":26,"citer_count":22,"citers_with_citation_signal":15,"citers_with_endowment":15,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.794,"is_data_producer":true,"deposit_databanks":{"ClinicalTrials.gov":["NCT03329274"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":255796,"name":"Vaios Hatzoglou","orcid":"0000-0003-0252-0694","position":1,"is_corresponding":false},{"id":502030,"name":"Justin B. Buthorn","orcid":null,"position":2,"is_corresponding":false},{"id":502031,"name":"Dana Bossert","orcid":null,"position":3,"is_corresponding":false},{"id":399104,"name":"Allison Sigler","orcid":"0000-0002-1519-2119","position":4,"is_corresponding":false},{"id":288021,"name":"Anne S. Reiner","orcid":"0000-0002-1258-6112","position":5,"is_corresponding":false},{"id":235767,"name":"Gary A. Ulaner","orcid":"0000-0002-7953-0113","position":6,"is_corresponding":false},{"id":267976,"name":"Eli L. Diamond","orcid":"0000-0001-5456-5961","position":7,"is_corresponding":false},{"id":501093,"name":"Julian Kirchner","orcid":"0000-0001-8224-3433","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-18T22:41:53.173268Z","pmid":"33057928","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}