Hand-Held Probe Measures Bone Strength
|
By HospiMedica International staff writers Posted on 07 Apr 2015 |

Image: Professor Emeritus Paul Hansma and the OsteoProbe (Photo courtesy of UCSB).
A new device uses reference point indentation (RPI) to measure the mechanical properties of bone at the tissue level.
The OsteoProbe device is a handheld device that uses RPI technology to inspect the bone material’s ability to resist indentation. The output is bone material strength index (BMSi), a figure that represents the ratio of the indentation distance in bone versus a polymathylmethacrylate (PMMA) reference material. The BMSi score represents resistance of the bone to separation of mineralized collagen fibrils. A BMSi of 90 or greater is considered excellent, 80–90 good, 70–80 fair, 60–70 poor, and below 60 is very poor.
A study conducted at the Mayo Clinic (Rochester, MN, USA) demonstrated the device's ability to successfully detect bone quality deterioration in diabetic patients, independent of bone mineral density (BMD). In another study conducted at Leiden University (The Netherlands), the OsteoProbe successfully distinguished between patients with and without fracture, not only in those with osteoporosis but also in those with osteopenia, the precursor to osteoporosis. The OsteoProbe was developed at UC Santa Barbara (UCSB; CA, USA), and is manufactured by ActiveLife Scientific (Santa Barbara, CA, USA).
“Bone fracture is becoming more and more of a serious problem as people live longer,” said Professor Emeritus Paul Hansma, PhD, of the UCSB department of physics. “It's exciting that it's now possible to measure BMSi in living patients and hopefully this can guide physicians in the future in choosing appropriate therapies to prevent bone fracture, especially in elderly people.”
RPI testing uses the location of measurement as the relative displacement reference position. The technique has its origins in the Mohs scale of mineral hardness, in which materials are ranked according to what they can scratch and are, in turn, scratched by. During the course of indentation, a record of the depth of penetration is made, and then the area of the indent is determined using the known geometry of the indentation tip. A record of these values can be plotted to create a load-displacement curve, which can be used to extract more sophisticated mechanical properties of the material.
Related Links:
Mayo Clinic
UC Santa Barbara
ActiveLife Scientific
The OsteoProbe device is a handheld device that uses RPI technology to inspect the bone material’s ability to resist indentation. The output is bone material strength index (BMSi), a figure that represents the ratio of the indentation distance in bone versus a polymathylmethacrylate (PMMA) reference material. The BMSi score represents resistance of the bone to separation of mineralized collagen fibrils. A BMSi of 90 or greater is considered excellent, 80–90 good, 70–80 fair, 60–70 poor, and below 60 is very poor.
A study conducted at the Mayo Clinic (Rochester, MN, USA) demonstrated the device's ability to successfully detect bone quality deterioration in diabetic patients, independent of bone mineral density (BMD). In another study conducted at Leiden University (The Netherlands), the OsteoProbe successfully distinguished between patients with and without fracture, not only in those with osteoporosis but also in those with osteopenia, the precursor to osteoporosis. The OsteoProbe was developed at UC Santa Barbara (UCSB; CA, USA), and is manufactured by ActiveLife Scientific (Santa Barbara, CA, USA).
“Bone fracture is becoming more and more of a serious problem as people live longer,” said Professor Emeritus Paul Hansma, PhD, of the UCSB department of physics. “It's exciting that it's now possible to measure BMSi in living patients and hopefully this can guide physicians in the future in choosing appropriate therapies to prevent bone fracture, especially in elderly people.”
RPI testing uses the location of measurement as the relative displacement reference position. The technique has its origins in the Mohs scale of mineral hardness, in which materials are ranked according to what they can scratch and are, in turn, scratched by. During the course of indentation, a record of the depth of penetration is made, and then the area of the indent is determined using the known geometry of the indentation tip. A record of these values can be plotted to create a load-displacement curve, which can be used to extract more sophisticated mechanical properties of the material.
Related Links:
Mayo Clinic
UC Santa Barbara
ActiveLife Scientific
Latest Critical Care News
- Printed Artificial Neurons Stimulate Natural Brain Circuits
- Synthetic Biology Approach Enables On-Demand Liver Tissue Growth
- Bioinspired Imaging System Identifies Cancerous Lymph Nodes Intraoperatively
- Portable AI Device Enables Low-Cost Screening for Anterior Eye Diseases
- FDA-Cleared ECG Software Powers Real-Time Cardiac Monitoring at Scale
- Collaboration Brings Continuous Monitoring to Metabolic Care Management
- Low-Frequency Wireless Sensor Monitors Arterial Stiffening and Blood Pressure
- FDA-Cleared Transseptal Access Device Enables Site-Specific Left Atrial Puncture
- AI Tool Estimates CPAP Effect on Cardiovascular Risk in Sleep Apnea
- Wearable AI Tool Predicts Hospitalization Risk in Heart Failure
- Real-Time Imaging Guides CPR to Improve Perfusion
- AI Tool Predicts Post-Therapy Barrett’s Esophagus Recurrence
- New Technology Turns Earbuds into Sensors for Cardiac Function Tracking

- Wearable AI Tool Estimates Vascular Age for Cardiovascular Risk
- New Brain Stimulation Approach Targets Deep Brain Areas Without Surgery
- Injectable Microgel Reduces Blood Loss in Infant Surgery
Channels
Artificial Intelligence
view channel
AI Platform Interprets Real-Time Wearable Data for Parkinson’s Management
Parkinson’s disease presents fluctuating motor and non-motor symptoms that complicate day-to-day self-management and clinical decision-making. Care teams require timely, longitudinal insight into medication... Read more
Algorithm Identifies Cardiac Arrest Hotspots to Guide AED Placement
Out-of-hospital sudden cardiac arrest is common and usually fatal, and survival depends on rapid defibrillation. Many communities deploy automated external defibrillators without precise guidance, which... Read moreSurgical Techniques
view channel
Thrombectomy Device with Real-Time Control Targets LVO Stroke
Large vessel occlusion ischemic (LVO) stroke often presents with high clot burden in proximal cerebral arteries, where rapid, complete reperfusion after a single pass is associated with procedural efficiency.... Read more
Fish-Skin Graft Shortens Hospital Stay in Severe Burns
Severely burned patients who require skin grafting face intensive inpatient management, where length of stay and complications such as sepsis, graft loss, venous thromboembolism, and hospital-acquired... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings
Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read more
Voice-Driven AI System Enables Structured GI Procedure Documentation
Documentation during gastrointestinal (GI) procedures often competes with real-time clinical decision-making and imposes a significant cognitive burden on physicians. Manual data entry and post-procedure... Read more
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read morePoint of Care
view channelBusiness
view channel
GE HealthCare, DeepHealth Expand AI Breast Imaging Collaboration
GE HealthCare and DeepHealth, a RadNet subsidiary, have expanded their collaboration to bring enhanced capabilities of DeepHealth’s new AI-powered Breast Suite to market, including ProFound Pro and Safeguard Review.... Read more







