A5087097012- Management of metastatic bone disease
- Medical Imaging and Analysis
- Artificial Intelligence in Healthcare and Education
- Spine and Intervertebral Disc Pathology
- Sarcoma Diagnosis and Treatment
- Cancer Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Spinal Fractures and Fixation Techniques
- Clinical practice guidelines implementation
- Bone and Joint Diseases
- Hip and Femur Fractures
- Cardiac, Anesthesia and Surgical Outcomes
- Bone health and treatments
- Musculoskeletal synovial abnormalities and treatments
- Orthopaedic implants and arthroplasty
- Healthcare cost, quality, practices
- Medical Imaging Techniques and Applications
- Pelvic and Acetabular Injuries
- Advanced X-ray and CT Imaging
- Radiology practices and education
- Oral and Maxillofacial Pathology
- Cancer survivorship and care
- Hematological disorders and diagnostics
- Venous Thromboembolism Diagnosis and Management
Massachusetts General Hospital
2019-2024
Harvard University
2019-2024
Janssen (Belgium)
2022
University of Amsterdam
2021
Amsterdam UMC Location University of Amsterdam
2021
Boston University
2021
Clinical Orthopaedics and Related Research
2019-2020
University Medical Center Utrecht
2020
Utrecht University
2020
Brigham and Women's Hospital
2019
Abstract Background We developed a machine learning algorithm to predict the survival of patients with chondrosarcoma. The demonstrated excellent discrimination and calibration on internal validation in derivation cohort based data from Surveillance, Epidemiology, End Results (SEER) registry. However, has not been validated an independent external dataset. Questions/purposes Does Skeletal Oncology Research Group (SORG) accurately 5-year patient population surgically treated for...
Abstract Background The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment have demonstrated good discriminatory ability on internal validation. However, the performance of a prediction model could potentially vary by race or region, SORG-MLA must be externally validated an Asian cohort. Furthermore, authors original developmental study did not consider Eastern...
The outcome differences following surgery for an impending versus a completed pathological fracture have not been clearly defined. purpose of the present study was to assess in outcomes surgical treatment fractures patients with long-bone metastases terms (1) 90-day and 1-year survival (2) intraoperative blood loss, perioperative transfusion, anesthesia time, duration hospitalization, 30-day postoperative systemic complications, reoperations.We retrospectively performed matched cohort...
Abstract 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 externally validated on a dataset of United States an earlier study, where it demonstrated generally good performance but overestimated 5-year survival. In addition, this has not yet been outside States; doing so would be important because external...
Background The widespread use of electronic patient-generated health data has led to unprecedented opportunities for automated extraction clinical features from free-text medical notes. However, processing this rich resource and research purposes, depends on labor-intensive potentially error-prone manual review. aim study was develop a natural language (NLP) algorithm binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports patients undergoing...
The clinical relevance of patient-reported outcomes score changes is often unclear. Especially in patients undergoing surgery due to lower extremity metastases - where performed the palliative setting and goal optimize functional mobility, relieve pain improve overall quality life. This study assessed minimal clinically important difference (MCID) Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference, Cancer-specific Physical Function, Global (Physical Mental...
Abstract Background and Objectives Body composition measurements using computed tomography (CT) may serve as imaging biomarkers of survival in patients with without cancer. This study assesses whether body obtained on abdominal CTs are independently associated 90‐day 1‐year mortality long‐bone metastases undergoing surgery. Methods single institutional retrospective included 212 who had undergone surgery for a CT the abdomen within 90 days before Quantification cross‐sectional areas (CSA)...
Incidental durotomy is an intraoperative complication in spine surgery that can lead to postoperative complications, increased length of stay, and higher healthcare costs. Natural language processing (NLP) artificial intelligence method assists understanding free-text notes may be useful the automated surveillance adverse events orthopaedic surgery. A previously developed NLP algorithm highly accurate detection incidental on internal validation external independent cohort from same country....
Reconstruction of the mobile spine following total en bloc spondylectomy (TES) one or multiple vertebral bodies in patients with malignant spinal tumors is a challenging procedure high failure rates. A common reason for reconstructive nonunion, which becomes more problematic when using local radiation therapy. Radiotherapy an integral part management primary osseous spine. Vascularized grafts may help prevent nonunion radiotherapy setting. The authors have utilized free vascularized fibular...