AIMC Topic: Bone Neoplasms

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External Validation of the Bone Metastases Ensemble Trees for Survival (BMETS) Machine Learning Model to Predict Survival in Patients With Symptomatic Bone Metastases.

JCO clinical cancer informatics Mar 1, 2021
PURPOSE: The Bone Metastases Ensemble Trees for Survival (BMETS) model uses a machine learning algorithm to estimate survival time following consultation for palliative radiation therapy for symptomatic bone metastases (SBM). BMETS was developed at a...
Machine Learning Humans Retrospective Studies Aged Bone Neoplasms Palliative Care
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Study of the Usefulness of Bone Scan Index Calculated From 99m-Technetium- Hydroxymethylene Diphosphonate (Tc-HMDP) Bone Scintigraphy for Bone Metastases from Prostate Cancer Using Deep Learning Algorithms.

Current medical imaging Jan 1, 2021
BACKGROUND: BSI calculated from bone scintigraphy using technetium-methylene diphosphonate (Tc-MDP) is used as a quantitative indicator of metastatic bone involvement in bone metastasis diagnosis, therapeutic effect assessment, and prognosis predicti...
Male Deep Learning Bone Neoplasms Prostatic Neoplasms Humans Tomography, X-Ray Computed Technetium Radionuclide Imaging Technetium Tc 99m Medronate
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How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?

Clinical orthopaedics and related research Oct 1, 2020
BACKGROUND: The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was developed using data from the Surveillance, Epidemiology, and End Results (SEER) registry. This algorithm w...
Italy Chondrosarcoma Humans Machine Learning Female Adult Male Middle Aged Bone Neoplasms Predictive Value of Tests
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External Validation of PATHFx Version 3.0 in Patients Treated Surgically and Nonsurgically for Symptomatic Skeletal Metastases.

Clinical orthopaedics and related research Apr 1, 2020
BACKGROUND: PATHFx is a clinical decision-support tool based on machine learning capable of estimating the likelihood of survival after surgery for patients with skeletal metastases. The applicability of any machine-learning tool depends not only on ...
Machine Learning Decision Support Techniques Prognosis Female Humans Survival Analysis Radiotherapy Fractures, Spontaneous Orthopedic Procedures Male Bone Neoplasms Bayes Theorem Registries
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Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Clinical orthopaedics and related research Feb 1, 2020
BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative management of metastatic bone disease of the extremities. Several tools have been developed for this purpose, but there is room for improvement. Machine learn...
Time Factors Treatment Outcome Bone Neoplasms Predictive Value of Tests Aged Male Middle Aged Risk Assessment Patient Selection Orthopedic Procedures Boston Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Risk Factors
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Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.

Journal of digital imaging Apr 1, 2019
Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-c...
Neoplasm Staging Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted X-Rays Humans Support Vector Machine Magnetic Resonance Imaging Bone Neoplasms
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Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Clinical orthopaedics and related research Oct 1, 2018
BACKGROUND: Several studies have identified prognostic factors for patients with chondrosarcoma, but there are few studies investigating the accuracy of computationally intensive methods such as machine learning. Machine learning is a type of artific...
Humans Neural Networks, Computer Decision Support Techniques Prognosis Retrospective Studies Female Reproducibility of Results Aged Child United States Support Vector Machine Bone Neoplasms Bayes Theorem SEER Program Chondrosarcoma Decision Trees Middle Aged Predictive Value of Tests Aged, 80 and over Diagnosis, Computer-Assisted Young Adult Adolescent Adult Time Factors Male
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[Application of three-dimensional printing technology in bone tumor surgery].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Sep 15, 2017
OBJECTIVE: To discuss the effect of three-dimensional (3D) printing individualized model and guide plate in bone tumor surgery.
Operative Time Bone Neoplasms Sheep Printing, Three-Dimensional Bone Plates Humans Male Fluoroscopy Femur Young Adult Middle Aged Ilium Adult Adolescent Animals Child
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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.
Male Adolescent Treatment Outcome Bone Neoplasms Humans Female Young Adult Adult Giant Cell Tumors Knee Joint Neoplasm Recurrence, Local Bone Transplantation Allografts
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Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

Oncotarget Mar 15, 2016
The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictiv...
Support Vector Machine Bone Neoplasms Decision Trees Bone Diseases Adult Male Middle Aged Logistic Models Humans Female Aged
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