Resistance-Sensing Needle Identifies Target Destinations
|
By HospiMedica International staff writers Posted on 18 Mar 2019 |

Image: An intelligent needle can identify minute voids for injection (Photo courtesy of Randal McKenzie/ HMS).
A highly sensitive intelligent-injector for tissue-targeting (i2T2) needle can detect changes in resistance in order to properly and safely deliver medication, claims a new study.
Developed by researchers at the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA), Harvard Medical School (HMS; Boston, MA, USA), and Brigham and Women’s Hospital (BWH; Boston, MA, USA), the i2T2 intelligent injector is a highly sensitive, completely mechanical device that senses loss of tissue resistance when encountering a softer tissue or a cavity, causing it to stop advancing the needle and deliver the payload. i2T2 feedback is instantaneous, which allows for better tissue targeting and minimal overshoot into an undesired location.
To test the device, the researchers used tissue from three animal models to examine delivery accuracy in the suprachoroidal (SCS), epidural, and peritoneal spaces, as well as subcutaneously. For example, they found it can be used to reliably deliver liquids to the SCS for a wide range of eye sizes, scleral thicknesses, and intraocular pressures. The injector could also deliver stem cells to the back of the eye that could be useful for regenerative therapies. The study was published on February 25, 2019, in Nature Biomedical Engineering.
“Targeting specific tissues using a conventional needle can be difficult, and often requires a highly trained individual. In the past century there has been minimal innovation to the needle itself, and we saw this as an opportunity to develop better, more accurate devices,” said senior corresponding author Professor Jeff Karp, PhD, of Brigham and Women’s Hospital. “We sought to achieve improved tissue targeting while keeping the design as simple as possible for ease of use.”
The SCS, which is located between the sclera and choroid in the back of the eye, has emerged as an important location for medication delivery. It is also a challenging site to target, because the needle must stop after transitioning through the sclera, which is less than one millimeter thick, to avoid damaging the retina. Additional tissues that are difficult to target include the epidural space around the spinal cord, used for epidural anesthesia, the peritoneal space in the abdomen, and subcutaneous tissue between the skin and muscles.
Related Links:
Massachusetts Institute of Technology
Harvard Medical School
Brigham and Women’s Hospital
Developed by researchers at the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA), Harvard Medical School (HMS; Boston, MA, USA), and Brigham and Women’s Hospital (BWH; Boston, MA, USA), the i2T2 intelligent injector is a highly sensitive, completely mechanical device that senses loss of tissue resistance when encountering a softer tissue or a cavity, causing it to stop advancing the needle and deliver the payload. i2T2 feedback is instantaneous, which allows for better tissue targeting and minimal overshoot into an undesired location.
To test the device, the researchers used tissue from three animal models to examine delivery accuracy in the suprachoroidal (SCS), epidural, and peritoneal spaces, as well as subcutaneously. For example, they found it can be used to reliably deliver liquids to the SCS for a wide range of eye sizes, scleral thicknesses, and intraocular pressures. The injector could also deliver stem cells to the back of the eye that could be useful for regenerative therapies. The study was published on February 25, 2019, in Nature Biomedical Engineering.
“Targeting specific tissues using a conventional needle can be difficult, and often requires a highly trained individual. In the past century there has been minimal innovation to the needle itself, and we saw this as an opportunity to develop better, more accurate devices,” said senior corresponding author Professor Jeff Karp, PhD, of Brigham and Women’s Hospital. “We sought to achieve improved tissue targeting while keeping the design as simple as possible for ease of use.”
The SCS, which is located between the sclera and choroid in the back of the eye, has emerged as an important location for medication delivery. It is also a challenging site to target, because the needle must stop after transitioning through the sclera, which is less than one millimeter thick, to avoid damaging the retina. Additional tissues that are difficult to target include the epidural space around the spinal cord, used for epidural anesthesia, the peritoneal space in the abdomen, and subcutaneous tissue between the skin and muscles.
Related Links:
Massachusetts Institute of Technology
Harvard Medical School
Brigham and Women’s Hospital
Latest Surgical Techniques News
- Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
- New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
- Robot-Assisted Brain Angiography Improves Procedural Outcomes
- Brain Mapping Technology Enhances Precision in Brain Tumor Resection
- Handheld Robotic System Expands Options for Total Knee Surgery
- VR Experience Reduces Patient Anxiety Before Kidney Stone Procedure
- Injectable Mini Livers Offer Hope for Patients Awaiting Transplant
- Pulsed Field Ablation Technology Cleared in Europe for Persistent AFib
- AI-Powered Imaging Brings Real-Time Margin Clarity to Breast Cancer Surgery
- Minimally Invasive Device Safely Treats Challenging Brain Aneurysms
- Surgical Robot Makes Complex Liver Tumor Surgery Safer and Less Invasive
- Neurostimulation Implant Reduces Seizure Burden in Drug-Resistant Epilepsy
- Minimally Invasive Procedure Effectively Treats Small Kidney Cancers
- Fluorescence Probe Paired with Engineered Enzymes Lights Up Tumors for Easier Surgical Removal
- Novel Hydrogel Could Become Bone Implant of the Future
- Skull Implant Design Could Shape Surgical Outcomes
Channels
Artificial Intelligence
view channelAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read moreCritical Care
view channel
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read more
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... 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
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 moreBusiness
view channel







