scholarly journals Magnetic resonance feature of “paintbrush borders” sign as a novel way to predict recurrence of giant cell tumor of bone after curettage: a pilot study

2017 ◽  
Vol 46 (2) ◽  
pp. 710-722
Author(s):  
Yifeng He ◽  
Jun Wang ◽  
Ji Zhang ◽  
Lianjun Du ◽  
Yong Lu ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Prognostic Factor ◽  
Local Recurrence ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Multivariate Logistic Regression Analysis ◽  
Cell Tumor ◽  
Independent Prognostic Factor ◽  
Preoperative Imaging ◽  
Imaging Features

Objective To identify the prognostic factors for local recurrence of giant cell tumor of bone (GCTB) through assessment of the preoperative imaging features of the tumor border. Methods Patients with GCTBs treated with intralesional procedures in the proximal tibia and distal femur were prospectively enrolled and then followed up for at least 2 years. The GCTBs were grouped according to their preoperative imaging features. GCTBs treated with en bloc resection were enrolled for investigation of the pathologic basis of specific imaging features. Differences between rates were evaluated by the chi-square test or Fisher’s exact test; independent factors were identified by multivariate logistic regression analysis. Results Fifty-three patients were enrolled and successfully followed up. Relapse occurred in 22 patients. Patients with a “paintbrush borders” sign (n = 21) had a significantly higher rate of local recurrence (71.43%) than patients without this sign (21.88%). The “paintbrush borders” sign was identified as an independent prognostic factor for local recurrence. Other imaging features were not significantly associated with recurrence. The “paintbrush borders” sign showed a correlation with local invasion of bone. Conclusion The “paintbrush borders” sign on preoperative magnetic resonance imaging is an independent prognostic factor for local recurrence of GCTB.

scholarly journals State of the Art and New Concepts in Giant Cell Tumor of Bone: Imaging Features and Tumor Characteristics

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6298
Author(s):  
Anna Parmeggiani ◽  
Marco Miceli ◽  
Costantino Errani ◽  
Giancarlo Facchini
Keyword(s):  
Soft Tissue ◽  
Local Recurrence ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Articular Surface ◽  
Cell Tumor ◽  
Imaging Features ◽  
Tissue Mass ◽  
Promising Alternative ◽  
High Local Recurrence Rate

Giant cell tumor of bone (GCTB) is classified as an intermediate malignant tumor due to its locally aggressive behavior, burdened by high local recurrence rate. GCTB accounts for about 4–5% of all primary bone tumors and typically arises in the metaphysis and epiphyses of the long tubular bones. Mutation of gene H3F3A is at the basis of GCTB etiopathogenesis, and its immunohistochemical expression is a valuable method for practical diagnosis, even if new biomarkers have been identified for early diagnosis and for potential tumor recurrence prediction. In the era of computer-aided diagnosis, imaging plays a key role in the assessment of GCTB for surgical planning, patients’ prognosis prediction and post treatment evaluation. Cystic changes, penetrating irregular margins and adjacent soft tissue invasion on preoperative Magnetic Resonance Imaging (MRI) have been associated with a higher rate of local recurrence. Distance from the tumor edge to the articular surface and thickness of unaffected cortical bone around the tumor should be evaluated on Computed Tomography (CT) as related to local recurrence. Main features associated with local recurrence after curettage are bone resorption around the graft or cement, soft tissue mass formation and expansile destruction of bone. A denosumab positive response is represented by a peripherical well-defined osteosclerosis around the lesion and intralesional ossification. Radiomics has proved to offer a valuable contribution in aiding GCTB pre-operative diagnosis through clinical-radiomics models based on CT scans and multiparametric MR imaging, possibly guiding the choice of a patient-tailored treatment. Moreover, radiomics models based on texture analysis demonstrated to be a promising alternative solution for the assessment of GCTB response to denosumab both on conventional radiography and CT since the quantitative variation of some radiomics features after therapy has been correlated with tumor response, suggesting they might facilitate disease monitoring during post-denosumab surveillance.

scholarly journals Preoperative CT for prediction of local recurrence after curettage of giant cell tumor of bone

2021 ◽  
pp. 100366
Author(s):  
Lenian Zhou ◽  
Shanyi Lin ◽  
Hanqiang Jin ◽  
Zhaoyuan Zhang ◽  
Changqing Zhang ◽  
...  
Keyword(s):  
Local Recurrence ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Cell Tumor ◽  
Preoperative Ct

Clinical and pathological analysis of giant cell tumor of bone with denosumab treatment and local recurrence

2020 ◽  
Author(s):  
Kenta Hayashida ◽  
Yusuke Kawabata ◽  
Ikuma Kato ◽  
Takayuki Kamiishi ◽  
Kosuke Matsuo ◽  
...  
Keyword(s):  
Local Recurrence ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Cell Tumor ◽  
Pathological Analysis ◽  
Denosumab Treatment

Impact Severity of Local Recurrence in Giant Cell Tumor of Bone

2005 ◽  
Vol &NA; (438) ◽  
pp. 116-122 ◽  
Author(s):  
Richard L McGough ◽  
Janie Rutledge ◽  
Valerae O Lewis ◽  
Patrick P Lin ◽  
Alan W Yasko
Keyword(s):  
Local Recurrence ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Cell Tumor

scholarly journals STAT1, IGF1, RAC1, and MDM2 Are Associated with Recurrence of Giant Cell Tumor of Bone

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Shuxin Chen ◽  
Zepeng Du ◽  
Bingli Wu ◽  
Huiyang Shen ◽  
Chunpeng Liu ◽  
...  
Keyword(s):  
Giant Cell Tumor ◽  
Giant Cell ◽  
Clinical Characteristics ◽  
Multivariate Logistic Regression Analysis ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Small Gtpase ◽  
Cell Tumor ◽  
Functional Enrichment ◽  
Ppi Network

Background. In our previous study, mouse double minute 2 homolog (MDM2), insulin-like growth factor 1 (IGF1), signal transducer and activator of transcription 1 (STAT1), and Rac family small GTPase 1 (RAC1) were correlated with the recurrence of giant cell tumor of bone (GCT). The aim of this study is to use a large cohort study to confirm the involvement of these four genes in GCT recurrence. Methods. The expression of these four genes was detected and compared between GCT patients with or without recurrence. The correlation between the expression of these four genes and clinical characteristics was evaluated. Protein-protein interaction (PPI) network was constructed for functional enrichment analysis. Results. It showed that the expression levels of MDM2, IGF1, STAT1, and RAC1 in GCT patients with recurrence were significantly higher than those in GCT patients without recurrence (P<0.05). Multivariate logistic regression analysis suggested that several clinical characteristics may influence prognosis. A PPI network was constructed using the four genes as hub genes. Functional enrichment analysis showed that this network involves many important biological progress mediated by these four genes, including immune response. Conclusion. MDM2, IGF1, STAT1, and RAC1 are associated with GCT recurrence, which might serve as biomarkers for GCT recurrence.

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