Multidisciplinary approach to spinal metastases and metastatic spinal cord compression—a new integrative flowchart for patient management
M Esperança-Martins, D Roque, T Barroso… - Cancers, 2023 - mdpi.com
Simple Summary The prevalence of metastatic spine disease is progressively increasing,
affecting a growing group of heterogeneous and complex patients. A multidisciplinary …
affecting a growing group of heterogeneous and complex patients. A multidisciplinary …
Machine Learning–Assisted Decision Making in Orthopaedic Oncology
PA Rizk, MR Gonzalez, BM Galoaa, AG Girgis… - JBJS …, 2024 - journals.lww.com
Abstract» Artificial intelligence is an umbrella term for computational calculations that are
designed to mimic human intelligence and problem-solving capabilities, although in the …
designed to mimic human intelligence and problem-solving capabilities, although in the …
A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 …
ABSTRACT BACKGROUND CONTEXT Preoperative prediction of prolonged postoperative
opioid prescription helps identify patients for increased surveillance after surgery. The …
opioid prescription helps identify patients for increased surveillance after surgery. The …
Cardiac substructures dosimetric predictors for cardiac toxicity after definitive radiotherapy in esophageal cancer
G Cai, C Li, J Li, J Yang, C Li, L Sun, J Li, J Yu… - International Journal of …, 2023 - Elsevier
Purpose To investigate the predictive value of the cardiac substructures (CSs) dosimetric
parameters for cardiac toxicity after definitive radiation therapy in locally advanced …
parameters for cardiac toxicity after definitive radiation therapy in locally advanced …
Comparison of survival prediction models for bone metastases of the extremities following surgery: an Asian cohort study
JH Park, J Won, HS Kim, Y Kim, S Kim… - The Bone & Joint …, 2024 - boneandjoint.org.uk
Aims This study aimed to compare the performance of survival prediction models for bone
metastases of the extremities (BM-E) with pathological fractures in an Asian cohort, and …
metastases of the extremities (BM-E) with pathological fractures in an Asian cohort, and …
Prognostic significance of lab data and performance comparison by validating survival prediction models for patients with spinal metastases after radiotherapy
Background and purpose Well-performing survival prediction models (SPMs) help patients
and healthcare professionals to choose treatment aligning with prognosis. This retrospective …
and healthcare professionals to choose treatment aligning with prognosis. This retrospective …
What's new in musculoskeletal tumor surgery
A Gazendam, M Ghert - JBJS, 2022 - journals.lww.com
Orthopaedic surgeons continued to be faced by novel challenges related to the COVID-19
pandemic over the past year. Nevertheless, inquiry into the treatment of tumors of the …
pandemic over the past year. Nevertheless, inquiry into the treatment of tumors of the …
Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?
Background Bone metastasis in advanced cancer is challenging because of pain, functional
issues, and reduced life expectancy. Treatment planning is complex, with consideration of …
issues, and reduced life expectancy. Treatment planning is complex, with consideration of …
Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis
Background Survival is an important factor to consider when clinicians make treatment
decisions for patients with skeletal metastasis. Several preoperative scoring systems (PSSs) …
decisions for patients with skeletal metastasis. Several preoperative scoring systems (PSSs) …
A machine learning algorithm for predicting 6-week survival in spinal metastasis: an external validation study using 2,768 Taiwanese patients
Methods: Discrimination using area under the receiver operating characteristic curve,
calibration, Brier score, and decision curve analysis were conducted to assess the model's …
calibration, Brier score, and decision curve analysis were conducted to assess the model's …