Evidence map›Paper›PMID 40680263›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2025

A New Relevant Integrated Radiologic and Surgical Classification Scheme for Giant Cell Tumors of Bones.

Yu-Cherng Chang, Juan Pretell-Mazzini, H Thomas Temple, Roxana Soler, Julian Purrinos, Andrew E Rosenberg, Emily Jonczak, Ty K Subhawong

Abstract read
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Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu-Cherng ChangFrom the Department of Radiology, Jackson Memorial Hospital, Miami, FL (Dr. Chang); the Baptist Heath South Florida, Plantation, FL (Dr. Pretell-Mazzini); the Department of Orthopaedics, Leonard M. Miller School of Medicine, University of Miami, Miami, FL (Dr. Temple); the Nova Southeastern School of Allopathic Medicine, Davis, FL (Dr. Soler); the Leonard M. Miller School of Medicine, University of Miami (Mr. Purrinos); the Department of Pathology and Laboratory Medicine, Leonard M. Miller School of Medicine, University of Miami (Dr. Rosenberg); Department of Medicine, Division of Hematology and Oncology, Leonard M. Miller School of Medicine, University of Miami (Dr. Jonczak); and the Musculoskeletal Radiology Division, Department of Radiology, Leonard M. Miller School of Medicine, University of Miami, Miami, FL (Dr. Subhawong).
Juan Pretell-Mazzini
H Thomas Temple
Roxana Soler
Julian Purrinos
Andrew E Rosenberg
Emily Jonczak
Ty K Subhawong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionConventional classification systems for giant cell tumors (GCTs) lack robust correlation with management and clinical outcomes. We propose a new radiologic classification system based on surgically relevant features to address this shortcoming.

methodsThis IRB-approved single-institution retrospective study involved 35 extremity GCTs from 2013 to 2023 with preoperative radiographs and cross-sectional imaging (MRI and/or CT). An experienced musculoskeletal (MSK) radiologist and orthopaedic oncologist independently assessed tumors according to the Campanacci or new grading system, defined on 1 to 3 scale: (1) intraosseous contained tumor, (2) intraosseous noncontained tumor with extraosseous implant accessible through single incision, and (3) intraosseous noncontained tumor with an extraosseous soft tissue implant nonaccessible from single incision alone. Interrater agreement was determined through the intraclass correlation coefficient. The two-way Friedman test with rater and grading system as factors was used to compare system grading similarity.

resultsThirty patients underwent curettage, five underwent resection; 10 experienced local recurrence. Intraclass correlation coefficients between raters for the Campanacci and novel grading systems were 0.83 and 0.79, respectively. However, compared with the novel system, Campanacci grades were significantly higher by an average of 0.34 ± 0.68 and 0.46 ± 0.70 for the first and second raters, respectively (P = 0.003). None of the patients who underwent resection experienced local recurrence, but in patients who underwent curettage, recurrence rates were higher in Campanacci versus novel grade 1 tumors (29% vs. 17%). DISCUSSION: The novel GCT grading system demonstrates excellent interrater agreement, and classified more nonrecurrent curetted tumors as low grade, suggesting improved predictive performance compared with the Campanacci classification.

Indexed as

Bone NeoplasmsGiant Cell Tumor of BoneAdolescentAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalRetrospective StudiesTomography, X-Ray ComputedYoung Adult

Identifiers

PMID40680263
PMCPMC12309912

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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.