Siemens and Synthes Launch Software for the Preparation of Bone Fracture Operations

Siemens HealthcareTogether with Synthes, the global market leader for bone implants, Siemens Healthcare has developed the software PreOPlan that will allow surgeons to virtually plan routine bone fracture surgeries (trauma surgery) as well as corrections of leg deformities (osteotomy). Using PreOPlan, the surgeon simulates the planned procedure on an X-ray image of the patient. With the aid of an integrated implant database, he can determine which bone implants are, for example, most suited for the correction of a fracture. Subsequently, the software generates a report that helps the operating staff prepare the surgery with the selected implants. Moreover, the surgeon can use this report prove his preparations for the procedure and to comprehensively explain the operation to the patient.

Normally, surgeons plan routine surgeries for bone fractures of the extremities "in their heads" while looking at an X-ray image of the fracture, or they hand-draw the planned procedure on the image. This brings several disadvantages: the surgeon can only estimate which implant is best suited to fix the point of fracture. Furthermore, he is not able to accurately document how he has prepared himself for the procedure. Many hospitals, however, demand such verification. In order to allow surgeons to plan their procedures safer and verifiable, Siemens Healthcare and Synthes conjointly developed a software that allows simple and quick preparation of routine surgeries on a computer workstation.

The software PreOPlan allows the surgeon to precisely analyze a bone fracture using a digital X-ray image of the patient: The surgeon can segment the fracture on the screen, measure it and then reassemble the fracture point in the anatomically correct position. All suitable implants for the respective anatomical region are suggested automatically by a database with bone implants from Synthes. The surgeon can call up information about the implants (length, inclination, size, or material) directly on the X-ray image. Once the surgeon has decided for an implant, PreOPlan automatically presents a selection of implants that are required additionally, such as screws for fixing. The surgeon then can make his selection. Overall, the planning of a routine surgery with PreOPlan only takes a few minutes.

Subsequently, the planning documents are summarized in a final report. This contains the planning images that the surgeon can use for orientation during surgery, as well as a material list for the operating staff who have to prepare the procedure. The planning images make it easier for the attending physician to explain the intended surgery to his patient. Moreover, the planning documents facilitate obtaining second opinion from a colleague.

In addition to routine trauma surgery, PreOPlan also supports planning of a so-called osteotomy on the knee. During this procedure, a thighbone is separated near to the knee and a wedge is removed in order to correct a malformation of the leg. Using PreOPlan, the surgeon can accurately calculate the position, inclination and the size of the wedge that is to be removed in order to correct the deformity.

The product mentioned here is not commercially available in all countries. Due to regulatory reasons the future availability in any country cannot be guaranteed. Further details are available from the local Siemens organizations.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the world's largest healthcare solution providers and a leading manufacturer and service provider in the fields of medical imaging, laboratory diagnostics, hospital information technology and hearing instruments. It offers solutions covering the entire supply chain under one roof - from prevention and early detection to diagnosis and on to treatment and aftercare. By optimizing clinical workflows oriented toward the most important clinical pictures, Siemens also strives to make healthcare faster, better and, at the same time, less expensive. Siemens Healthcare currently has some 48,000 employees worldwide and is present throughout the world. During fiscal 2010 (up to September 30) the Sector posted sales worth 12.4 billion euros and profits of around 750 million euros.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...