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Computed Tomography (CT) of the Spine - Scoliosis
The dataset consists of CT spine scans of people with scoliosis. images that aid in the assessment and diagnosis of scoliosis. Each scan consists of multiple slices capturing various sections of the spine, including the cervical (neck), thoracic (upper back), and lumbar (lower back) regions. The data are presented in 2 different formats: .jpg and .dcm. The dataset of CT spine scans is valuable for research in automated scoliosis… See the full description on the dataset page: https://huggingface.co/datasets/TrainingDataPro/ct-of-the-spine-scoliosis.
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Three different datasets of vertebrae with corresponding computed tomography (CT) and ultrasound (US) images are presented. In the first dataset, three human patients lumbar vertebrae are presented and the US images are simulated from their CT images. The second dataset includes corresponding CT, US, and simulated US images of a phantom made from post-mortem canine cervical and thoracic vertebrae. The last phantom consists of the CT, US, and simulated US images of a phantom made from a post-mortem lamb lumbar vertebrae. For each of the two latter datasets, we also provide 15 landmark pairs of matching structures between the CT and US images and performed fiducial registration to acquire a silver standard for assessing image registration.
The datasets can be used to test CT-US image registration techniques and to validate techniques that simulate US from CT.
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The North America Spinal Surgery Market Report is Segmented by Device Type (Spinal Decompression (Corpectomy, Discectomy, Facetectomy, Foraminotomy, and Laminotomy), Spinal Fusion (Cervical Fusion, Interbody Fusion, Thoracolumbar Fusion, and Others), Fracture Repair Devices, Arthroplasty Devices and Non-Fusion Devices), and Country (United States, Canada, Mexico). The Report Offers the Value (in USD) for the Above Segments.
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Spine MRI Dataset, Anomaly Detection & Segmentation
The dataset consists of .dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as degeneration of discs, osteophytes, dorsal disk extrusion, spondylitis and asymmetry of B2 segments of vertebral arteries. The images are labeled by the doctors and accompanied by report in PDF-format. The dataset includes 5 studies, made from the different angles which provide a comprehensive understanding… See the full description on the dataset page: https://huggingface.co/datasets/TrainingDataPro/lumbar-spine-mri-dataset.
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Association between clustered subgroup membership at baseline and failing to achieve clinically meaningful improvement on outcome at 3 months.
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[250 Pages Report] The dynamic spinal tethering system market is likely to record a CAGR of 10% during the forecast period, up from US$ 59.7 Mn in 2022 to reach a valuation of US$ 154.85 Mn by 2032.
Attributes | Details |
---|---|
Dynamic Spinal Tethering System Market Size in 2022 | US$ 59.7 Mn |
Dynamic Spinal Tethering System Market Projected Size in 2032 | US$ 154.85 Mn |
Dynamic Spinal Tethering System Market Value-Based CAGR (2022-2032) | 10% |
Scope of Report
Report Attribute | Details |
---|---|
Growth rate | CAGR of 10% from 2022 to 2032 |
Base year for estimation | 2021 |
Historical data | 2015 to 2020 |
Forecast period | 2022 to 2032 |
Quantitative units | Revenue in USD million and CAGR from 2022 to 2032 |
Report coverage | Revenue forecast, volume forecast, company ranking, competitive landscape, growth factors, and trends, Pricing Analysis, |
Segments covered | Application, end user, region |
Regional scope | North America; Western Europe, Eastern Europe, Middle East, Africa, ASEAN, South Asia, Rest of Asia, Australia and New Zealand |
Country scope | USA; Canada; Mexico; Germany; UK; France; Italy; Spain; Russia; Belgium; Poland; Czech Republic; China; India; Japan; Australia; Brazil; Argentina; Colombia; Saudi Arabia; UAE; Iran; South Africa |
Key companies profiled | INTUITIVEX, Medronic, Alphatec Spine, Inc., Arthrex, Camber Spine, DePuy Synthes, Exactech, Inc., Globus Medical Inc. |
Customization scope | Free report customization (equivalent to up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and purchase options | Avail customized purchase options to meet your exact research needs. |
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The USA Spinal Surgery Devices market is segmented by Device Type (Spinal Decompression, Spinal Fusion, Arthroplasty Devices, Fracture Repair Devices, Non-spinal Fusion Devices)
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Spine MRI Dataset, Anomaly Detection & Segmentation
The dataset consists of .dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as osteochondrosis, spondyloarthrosis, hemangioma, physiological lordosis smoothed, osteophytes and aggravated defects. The images are labeled by the doctors and accompanied by report in PDF-format. The dataset includes 9 studies, made from the different angles which provide a comprehensive understanding of a… See the full description on the dataset page: https://huggingface.co/datasets/TrainingDataPro/spinal-cord-dataset.
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This is a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI series from 218 studies of 218 patients with a history of low back pain. The data was collected from four different hospitals. There is an additional hidden test set, not available here, used in the accompanying SPIDER challenge on spider.grand-challenge.org. We share this data to encourage wider participation and collaboration in the field of spine segmentation, and ultimately improve the diagnostic value of lumbar spine MRI.
This file also provides the biological sex for all patients and the age for the patients for which this was available. It also includes a number of scanner and acquisition parameters for each individual MRI study. The dataset also comes with radiological gradings found in a separate file for the following degenerative changes:
1.    Modic changes (type I, II or III)
2.    Upper and lower endplate changes / Schmorl nodes (binary)
3.    Spondylolisthesis (binary)
4.    Disc herniation (binary)
5.    Disc narrowing (binary)
6.    Disc bulging (binary)
7.    Pfirrman grade (grade 1 to 5).
All radiological gradings are provided per IVD level.
Repository: https://zenodo.org/records/10159290 Paper: https://www.nature.com/articles/s41597-024-03090-w
This statistic depicts the number of outpatient orthopedic and spinal procedures in the U.S. in 2017, by procedure. According to the data, there were ****** primary shoulder replacement procedures in 2017.
This statistic depicts the 10-year change in outpatient orthopedic and spinal procedures in the U.S. as of 2017, by procedure. According to the data, primary shoulder replacement procedures had increased by 879 percent over the preceding 10 years.
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Over 1.5 million spine fractures occur annually in the United States alone resulting in over 17,730 spinal cord injuries annually. The most common site of spine fracture is the cervical spine. There has been a rise in the incidence of spinal fractures in the elderly and in this population, fractures can be more difficult to detect on imaging due to degenerative disease and osteoporosis. Imaging diagnosis of adult spine fractures is now almost exclusively performed with computed tomography (CT). Quickly detecting and determining the location of any vertebral fractures is essential to prevent neurologic deterioration and paralysis after trauma. RSNA has teamed with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR) to create this ground truth dataset, collecting imaging data from twelve sites on six continents, including approximately 2,000 CT studies. Spine radiology specialists from the ASNR and ASSR provided expert image level annotations these studies to indicate the presence, vertebral level and location of any cervical spine fractures.
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Minimally Invasive Spine Surgery Market Size 2025-2029
The minimally invasive spine surgery market size is forecast to increase by USD 1.62 billion at a CAGR of 8.4% between 2024 and 2029.
The Minimally Invasive Spine Surgery (MISS) market is experiencing significant growth, driven primarily by the increasing incidence of spinal disorders worldwide. Another key driver in the MISS market is the integration of artificial intelligence (AI) and robotics in surgical planning and execution. These technologies enable surgeons to perform procedures more accurately and precisely, reducing the risk of complications and improving patient outcomes.
However, the high cost of MISS procedures remains a significant challenge for both patients and healthcare providers. Despite this, the market presents numerous opportunities for companies that can offer cost-effective solutions while maintaining the clinical effectiveness of minimally invasive procedures. Companies that can successfully navigate this complex landscape by addressing the cost issue and leveraging technological advancements will be well-positioned to capitalize on the growing demand for MISS procedures.
What will be the Size of the Minimally Invasive Spine Surgery Market during the forecast period?
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The market is witnessing significant growth due to the increasing prevalence of neurological disorders, such as spinal stenosis, and the rising demand for pain management and functional rehabilitation. Orthopedic surgeons are increasingly adopting minimally invasive techniques, including robotic surgery, to improve patient outcomes and reduce complication rates, such as blood loss and surgical workflow disruptions. Spinal implants play a crucial role in minimally invasive procedures, with the use of biocompatible materials ensuring patient safety and promoting value-based care. Advanced imaging and big data analytics enable precision surgery and data-driven decision making, while evidence-based medicine and clinical practice guidelines ensure optimal patient care.
Insurance coverage for minimally invasive spine surgery is a critical factor driving market growth, with physical therapists and pain management specialists playing essential roles in post-operative care. Minimally invasive instrumentation, such as vertebral augmentation and spinal decompression, are key areas of innovation, along with emerging technologies like artificial intelligence, 3D modeling, and remote monitoring. Functional assessment, virtual reality simulation, and spine stabilization are other areas of focus, with personalized medicine and value-based care becoming increasingly important in the US healthcare landscape.
In summary, the market is experiencing robust growth due to the increasing prevalence of neurological disorders, the demand for pain management and functional rehabilitation, and the adoption of advanced technologies and techniques. Market dynamics, including patient safety, health economics, and value-based care, are key drivers of innovation and growth in this sector.
How is this Minimally Invasive Spine Surgery Industry segmented?
The minimally invasive spine surgery industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Fusion surgery
Non-fusion surgery
End-user
Hospitals and clinics
Ambulatory surgical centers (ASCs)
Product Type
Implants & instrumentation
Biomaterials
Implants & instrumentation
Biomaterials
Treatment
Lumbar Disc Herniation
Thoracic Disc Herniation
Spinal Stenosis
Degenerative Spinal Disease
Others
Lumbar Disc Herniation
Thoracic Disc Herniation
Spinal Stenosis
Degenerative Spinal Disease
Others
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
South Korea
By Application Insights
The fusion surgery segment is estimated to witness significant growth during the forecast period.
The fusion surgery segment is a significant area of focus and innovation in The market. Orthopedic surgeons frequently employ fusion surgeries to address various spinal pathologies, including degenerative disc disease, spinal stenosis, and spondylolisthesis, with the primary objectives of restoring stability, alleviating pain, and facilitating the fusion of affected spinal segments. The integration of minimally invasive techniques in fusion surgeries has revolutionized the field, driving the demand for advanced spine surgery machines designed to support these precise and intricate procedures. Neurological disorders and pain management are critical considerations in the context of spinal interventions, with functional rehabilitation and patient
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Musculoskeletal disorders present significant health and economic challenges on a global scale. Current intraoperative imaging techniques, including computed tomography (CT) and radiography, involve high radiation exposure and limited soft tissue visualization. Ultrasound (US) offers a non-invasive, real-time alternative but is highly observer-dependent and underutilized intraoperatively. US enhanced by artificial intelligence shows high potential for observer-independent pattern recognition and robot-assisted applications in orthopedics. Given the limited availability of in-vivo imaging data, we introduce a comprehensive dataset from a comparative collection of handheld US (HUS) and robot-assisted ultrasound (RUS) lumbar spine imaging in 63 healthy volunteers. This dataset includes demographic data, paired CT, HUS, RUS imaging, synchronized tracking data for HUS and RUS, and 3D-CT-segmentations. It establishes a robust baseline for machine learning algorithms by focusing on healthy individuals, circumventing the limitations of simulations and pathological anatomy. To our knowledge, this extensive collection is the first healthy anatomy dataset for the lumbar spine that includes paired CT, HUS, and RUS imaging, supporting advancements in computer- and robotic-assisted diagnostic and intraoperative techniques for musculoskeletal disorders.
This dataset included original demographic data, examination data, laboratory data and questionnaire datadata from NHANES 2011-2018.
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The Spine Surgery Devices Market Report is Segmented by Device Type (Spinal Decompression Devices and More), Procedure Type (Open Spine Surgery and More), Surgical Technology (Robotic-Assisted Systems and More), Surgery Setting (Hospitals and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).
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ABSTRACT The author uses the classical parameters that allow studying the sagittal form of the spine, following a vertebral semantics (lordosis, kyphosis, spinopelvic parameters, and sagittal balance). Then he proposes a very different perspective that analyzes the shape of the column, not in the sagittal-coronal plane but in the vertical plane, that is, integrating gravity as a three-dimensional construction axis. Beginning with an analysis of the global body scheme of which the column is part, the muscular synergies are introduced using reference points, defining tension lines, anatomical and functional arches, highlighting the importance of the respiratory function that stabilizes the shape of the thoracolumbar spine. This shows that, whatever the pelvic or frequent anomalies, the biomechanical scheme depends on a single unique law related to gravity: the “pendulum law”. This allows us to define an ideal shaped spine, in comparison to different models, evoking the semantic practical and therapeutic interest of such a perspective.
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Computed Tomography (CT) of the Spine - Scoliosis
The dataset consists of CT spine scans of people with scoliosis. images that aid in the assessment and diagnosis of scoliosis. Each scan consists of multiple slices capturing various sections of the spine, including the cervical (neck), thoracic (upper back), and lumbar (lower back) regions. The data are presented in 2 different formats: .jpg and .dcm. The dataset of CT spine scans is valuable for research in automated scoliosis… See the full description on the dataset page: https://huggingface.co/datasets/TrainingDataPro/ct-of-the-spine-scoliosis.