AIMC Topic: Giant Cell Tumors

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Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy.

The Analyst Mar 28, 2022
Raman spectroscopy is a non-destructive analysis technique that provides detailed information about the chemical structure of tumors. Raman spectra of 52 giant cell tumors of bone (GCTB) and 21 adjacent normal tissues of formalin-fixed paraffin embed...
Humans Algorithms Deep Learning Spectrum Analysis, Raman Support Vector Machine Giant Cell Tumors
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Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

European radiology Oct 2, 2018
OBJECTIVE: We aimed to identify optimal machine-learning methods for preoperative differentiation of sacral chordoma (SC) and sacral giant cell tumour (SGCT) based on 3D non-enhanced computed tomography (CT) and CT-enhanced (CTE) features.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged ROC Curve Imaging, Three-Dimensional Support Vector Machine Diagnosis, Differential Image Interpretation, Computer-Assisted Linear Models Spinal Neoplasms Giant Cell Tumors Sacrum Chordoma
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[Effectiveness of unicompartment allografts replacement for bone tumor around the knee].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Aug 15, 2017
OBJECTIVE: To analyze the effectiveness of unicompartment allografts replacement for reconstructing bone defect after bone tumor resection around knee.
Humans Female Young Adult Adult Male Adolescent Treatment Outcome Bone Neoplasms Knee Joint Neoplasm Recurrence, Local Bone Transplantation Allografts Giant Cell Tumors
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