ArticleLa Radiologia medica2017
A prospective study on predicting local recurrence of giant cell tumour of bone by evaluating preoperative imaging features of the tumour around the knee joint.
Article in La Radiologia medica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Denosumab for Effective Tumor Size Reduction in Patients With Giant Cell Tumors of the Bone: A Systematic Review and Meta-Analysis.Cancer control : journal of the Moffitt Cancer CenterPooled it
- Deep learning-based detection of primary bone tumors around the knee joint on radiographs: a multicenter study.Quantitative imaging in medicine and surgery · 2024Article
- Images of giant cell tumor and chondroblastoma around the knee: retrospective analysis of 99 cases.Quantitative imaging in medicine and surgery · 2023Article
- The blood pressure and use of tourniquet are related to local recurrence after intralesional curettage of primary benign bone tumors: a retrospective and hypothesis-generating study.BMC musculoskeletal disorders · 2022Article
- State of the Art and New Concepts in Giant Cell Tumor of Bone: Imaging Features and Tumor Characteristics.Cancers · 2021Review
- Clinical Significance of Preoperative CT and MR Imaging Findings in the Prediction of Postoperative Recurrence of Spinal Giant Cell Tumor of Bone.Orthopaedic surgery · 2021Article
- Preoperative CT for prediction of local recurrence after curettage of giant cell tumor of bone.Journal of bone oncology · 2021Article
- Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients.Journal of bone oncology · 2021Article
- Giant Cell Tumors of Bone in Patients Aged 18 Years Old or Younger: Imaging Features and Tumor Characteristics.International journal of general medicine · 2021Article
- Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.European radiology · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the role of medical imaging in predicting local recurrence of giant cell tumour of bone (GCTB) by assessing the preoperative imaging features of GCTB around the knee.
methodsForty-eight consecutive GCTBs in the proximal tibia and distal femur treated with curettage were prospectively enrolled. Patients were grouped in terms of their imaging features on radiography, computed tomography (CT) and magnetic resonance imaging (MRI). All patients were followed up for at least two years after surgery. The association between preoperative imaging features and local recurrence was investigated. Imaging features were retrospectively studied by correlation analysis. The differences between rates were tested by the Chi square and Fisher exact tests; independent factors were determined by multivariate logistic regression analysis.
resultsCystic change and adjacent soft tissue invasion were associated with a higher rate of local recurrence compared to the negative groups (P < 0.05). Cystic change was identified as an independent risk factor for local recurrence of GCTB (P < 0.05). Expansibility was correlated with the "soap bubble" sign and the fluid-fluid level (P < 0.05); the "soap bubble" sign was correlated with osteosclerosis and the fluid-fluid level (P < 0.05); cortical bone involvement was correlated with adjacent soft tissue invasion (P < 0.05); and cystic change was correlated with the fluid-fluid level (P < 0.05).
conclusionCystic change was an independent risk factor for local recurrence of GCTB. Adjacent soft tissue invasion might indirectly relate to local relapse. A cluster of association relationships between imaging features was revealed.
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