Conventional Cartilaginous Tumors

JBJS Reviews ◽  
2021 ◽  
Vol 9 (5) ◽  
Author(s):  
Matthew E. Wells ◽  
Michael D. Eckhoff ◽  
Lisa A. Kafchinski ◽  
Elizabeth M. Polfer ◽  
Benjamin K. Potter
Keyword(s):  
Cartilaginous Tumors

Cartilaginous Tumors And Chordomas Of The Cranial Base

1995 ◽  
Vol 28 (3) ◽  
pp. 453-471 ◽  
Author(s):  
Alfred L. Weber ◽  
Eugene W. Brown ◽  
Eugen B. Hug ◽  
Norbert J. Liebsch
Keyword(s):  
Cranial Base ◽  
Cartilaginous Tumors

scholarly journals A Radiological Scoring System for Differentiation between Enchondroma and Chondrosarcoma

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3558
Author(s):  
Shinji Miwa ◽  
Norio Yamamoto ◽  
Katsuhiro Hayashi ◽  
Akihiko Takeuchi ◽  
Kentaro Igarashi ◽  
...  
Keyword(s):  
Scoring System ◽  
Radiological Finding ◽  
Final Diagnosis ◽  
Radiological Findings ◽  
Abnormal Signal ◽  
Cortical Defect ◽  
Diagnostic Usefulness ◽  
Radiological Score ◽  
Sensitivity Specificity ◽  
Cartilaginous Tumors

Background: It is challenging to differentiate between enchondromas and atypical cartilaginous tumors (ACTs)/chondrosarcomas. In this study, correlations between radiological findings and final diagnosis were investigated in patients with central cartilaginous tumors. Methods: To evaluate the diagnostic usefulness of radiological findings, correlations between various radiological findings and final diagnoses were investigated in a cohort of 81 patients. Furthermore, a new radiological scoring system was developed by combining radiological findings. Results: Periosteal reaction on X-ray (p = 0.025), endosteal scalloping (p = 0.010) and cortical defect (p = 0.002) on CT, extraskeletal mass (p < 0.001), multilobular lesion (p < 0.001), abnormal signal in adjacent tissue (p = 0.004) on MRI, and increased uptake in bone scan (p = 0.002) and thallium scan (p = 0.027) was significantly correlated with final diagnoses. Based on the correlations between each radiological finding and postoperative histological diagnosis, a radiological scoring system combining these findings was developed. In another cohort of 17 patients, the sensitivity, specificity, and accuracy of the radiological score rates for differentiation between enchondromas and ACTs/chondrosarcomas were 88%, 89%, and 88%, respectively (p = 0.003). Conclusion: Radiological assessment with combined radiological findings is recommended to differentiate between enchondromas and ACT/chondrosarcomas.

scholarly journals The oncometabolite R-2-hydroxyglutarate dysregulates the differentiation of human mesenchymal stromal cells via inducing DNA hypermethylation

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lizhen Liu ◽  
Kaimin Hu ◽  
Jingjing Feng ◽  
Huafang Wang ◽  
Shan Fu ◽  
...  
Keyword(s):  
Osteogenic Differentiation ◽  
Mesenchymal Stromal Cells ◽  
Stromal Cells ◽  
Chondrogenic Differentiation ◽  
Cell Counting ◽  
Human Mscs ◽  
Mrna Levels ◽  
Dependent Manner ◽  
Dna Hypermethylation ◽  
Cartilaginous Tumors

Abstract Background Isocitrate dehydrogenase (IDH1/2) gene mutations are the most frequently observed mutations in cartilaginous tumors. The mutant IDH causes elevation in the levels of R-enantiomer of 2-hydroxylglutarate (R-2HG). Mesenchymal stromal cells (MSCs) are reasonable precursor cell candidates of cartilaginous tumors. This study aimed to investigate the effect of oncometabolite R-2HG on MSCs. Methods Human bone marrow MSCs treated with or without R-2HG at concentrations 0.1 to 1.5 mM were used for experiments. Cell Counting Kit-8 was used to detect the proliferation of MSCs. To determine the effects of R-2HG on MSC differentiation, cells were cultured in osteogenic, chondrogenic and adipogenic medium. Specific staining approaches were performed and differentiation-related genes were quantified. Furthermore, DNA methylation status was explored by Illumina array-based arrays. Real-time PCR was applied to examine the signaling component mRNAs involved in. Results R-2HG showed no influence on the proliferation of human MSCs. R-2HG blocked osteogenic differentiation, whereas promoted adipogenic differentiation of MSCs in a dose-dependent manner. R-2HG inhibited chondrogenic differentiation of MSCs, but increased the expression of genes related to chondrocyte hypertrophy in a lower concentration (1.0 mM). Moreover, R-2HG induced a pronounced DNA hypermethylation state of MSC. R-2HG also improved promotor methylation of lineage-specific genes during osteogenic and chondrogenic differentiation. In addition, R-2HG induced hypermethylation and decreased the mRNA levels of SHH, GLI1and GLI2, indicating Sonic Hedgehog (Shh) signaling inhibition. Conclusions The oncometabolite R-2HG dysregulated the chondrogenic and osteogenic differentiation of MSCs possibly via induction of DNA hypermethylation, improving the role of R-2HG in cartilaginous tumor development.

scholarly journals Magnetic resonance imaging of bone and soft tissue tumors. MRI of the cartilaginous tumors.

1990 ◽  
Vol 39 (2) ◽  
pp. 638-642
Author(s):  
Kazuhiro Tanaka ◽  
Yukihide Iwamoto ◽  
Masahiro Ushijima ◽  
Yoichi Sugioka
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Cartilaginous Tumors

Parathyroid Hormone-Related Peptide Expression in Cartilaginous Tumors

2002 ◽  
Vol 403 ◽  
pp. 198-204 ◽  
Author(s):  
Dhruv B. Pateder ◽  
Michael W. Gish ◽  
Regis J. O???Keefe ◽  
David G. Hicks ◽  
Lisa A. Teot ◽  
...  
Keyword(s):  
Parathyroid Hormone ◽  
Related Peptide ◽  
Peptide Expression ◽  
Parathyroid Hormone Related Peptide ◽  
Cartilaginous Tumors

scholarly journals Diagnostic Value of CT- and MRI-Based Texture Analysis and Imaging Findings for Grading Cartilaginous Tumors in Long Bones

2021 ◽  
Vol 11 ◽  
Author(s):  
Xue-Ying Deng ◽  
Hai-Yan Chen ◽  
Jie-Ni Yu ◽  
Xiu-Liang Zhu ◽  
Jie-Yu Chen ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Feature Model ◽  
Imaging Feature ◽  
Low Grade ◽  
Long Bones ◽  
Imaging Features ◽  
High Grade ◽  
Accuracy Rate ◽  
Predictive Values ◽  
Cartilaginous Tumors

ObjectiveTo confirm the diagnostic performance of computed tomography (CT)-based texture analysis (CTTA) and magnetic resonance imaging (MRI)-based texture analysis for grading cartilaginous tumors in long bones and to compare these findings to radiological features.Materials and MethodsTwenty-nine patients with enchondromas, 20 with low-grade chondrosarcomas and 16 with high-grade chondrosarcomas were included retrospectively. Clinical and radiological information and 9 histogram features extracted from CT, T1WI, and T2WI were evaluated. Binary logistic regression analysis was performed to determine predictive factors for grading cartilaginous tumors and to establish diagnostic models. Another 26 patients were included to validate each model. Receiver operating characteristic (ROC) curves were generated, and accuracy rate, sensitivity, specificity and positive/negative predictive values (PPV/NPV) were calculated.ResultsOn imaging, endosteal scalloping, cortical destruction and calcification shape were predictive for grading cartilaginous tumors. For texture analysis, variance, mean, perc.01%, perc.10%, perc.99% and kurtosis were extracted after multivariate analysis. To differentiate benign cartilaginous tumors from low-grade chondrosarcomas, the imaging features model reached the highest accuracy rate (83.7%) and AUC (0.841), with a sensitivity of 75% and specificity of 93.1%. The CTTA feature model best distinguished low-grade and high-grade chondrosarcomas, with accuracies of 71.9%, and 80% in the training and validation groups, respectively; T1-TA and T2-TA could not distinguish them well. We found that the imaging feature model best differentiated benign and malignant cartilaginous tumors, with an accuracy rate of 89.2%, followed by the T1-TA feature model (80.4%).ConclusionsThe imaging feature model and CTTA- or MRI-based texture analysis have the potential to differentiate cartilaginous tumors in long bones by grade. MRI-based texture analysis failed to grade chondrosarcomas.

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