Elekta ProKnow®
Unlock the power of data to enhance patient care
Every day huge amounts of data are created in radiotherapy clinics across the globe. A wealth of insight is contained within these data, but without simple, intuitive solutions, it remains locked away from the experts who need it the most.
By centralizing all your data in a secure web-based repository, Elekta ProKnow®* makes it accessible, which opens the door to new insights.
诸如同行审查和计划评估之类的工具可用于维持临床实践中的质量和一致性,以及自动包装等自动功能,确保快速且平稳的工作流程。
*Elekta ProKnow is not available in all markets
Improve standard of care
Elekta Proknow - 询问创始人
“创建工作流效率的第一步是创建数据访问。”
本杰明·E。Nelms, Ph.D., Founder of ProKnow® and Advisor to Elekta.
In 2016, Benjamin Nelms co-founded the company ProKnow to bring 'big data' analytics and vital cloud-based capabilities to the field of radiation oncology.
Listen to this audio podcast and hear about the early days of ProKnow, and its recent application in the Elekta Planning Academy and Elekta Plan Challenge.
下载播客ProKnow visionary digital teaching tool
墨尔本的RMIT大学对Proknow感到高兴,作为教学本科生并提高标准的工具,同时建立了信心。
More infoAutomate data analysis of long-term health outcomes
Lydia Wilson is a medical physicist and instructor at St. Jude Children's Research Hospital. She explains the importance of longitudinal studies for pediatric cancer patients, and how ProKnow has helped her department organize and improve data collection.
Find out more about Dr. Wilson's experience to automate steps of population data analyses and simplify clinical tasks with ProKnow.Watch her webinar.
Streamline clinical trial management
跨塔斯曼辐射肿瘤学组(TROG)癌症研究一直在改善将放射疗法递送给癌症患者的方式近30年。bob娱乐官网
Working with researchers from Australia, New Zealand and globally, TROG Cancer Research conducts clinical trial research involving radiotherapy to treat many types of cancers such as breast, lung, prostate, skin, head and neck.
超过14,500人自愿参加了一项Trog癌症研究试验。bob娱乐官网迄今为止,Trog已经进行了100多项临床试验,帮助研究人员改善了影响癌症患者的结果和生活质量的癌症治疗。bob娱乐官网
TROG Cancer Research works in partnership with more than 70 hospital and cancer treatment centers across Australia and New Zealand.
TROG Cancer Research has been using ProKnow Systems™ for annual plan and contouring challenges since 2017. The challenges are usually aligned with the current trials Approx. 150 plans and above 25 countries are routinely represented.
Trog bob娱乐官网Cancer Research最近开始在其网络上使用Elekta Proknow。Proknow允许简化数据分析,同行评审和整体试验管理的流程。还有许多技术和临床焦点小组使用Proknow进行各种项目。
Knowledge sharing and peer-to-peer support at National Particle Therapy Symposium in Australia
"The use of Monaco allowed our comparative planning team to complete a very challenging base of skull IMPT plan. We now have a much better appreciation of the impressive capabilities of Monaco."
Scott Penfold, Lead Medical Physicist, Australian Bragg Centre for Proton Therapy and Research.
Knowledge sharing and peer-to-peer support at National Particle Therapy Symposium in Australia
"The use of Monaco allowed our comparative planning team to complete a very challenging base of skull IMPT plan. We now have a much better appreciation of the impressive capabilities of Monaco."
Scott Penfold, Lead Medical Physicist, Australian Bragg Centre for Proton Therapy and Research.
Background
The Australian Bragg Centre for Proton Therapy and Research in Adelaide will provide proton radiation treatment to paediatric, adolescent and adult patients with rare cancer types. It will be Australia's first proton therapy unit and will be the focus for a national referral network. Patients will be triaged within this network through comparative planning and peer review.
The annual National Particle Therapy Symposium hosted by the South Australian Health and Medical Research Institute in 2021, aimed to bring together stakeholders from across Australia with an interest in particle therapy. The focus of the 2021 Symposium was development of a national framework to ensure equity of access to particle therapy.
As part of this meeting, a comparative planning workshop involving participants from four clinical sites across Australia was held. Proknow provided the perfect platform to conduct this.
- TPS vendor agnostic Proton
- VMAT (modality independent)
- Cloud based access for remote collaboration
- Allows overlay of multiple plans
- Contouring and structure comparison capabilities
- Allows overlay of Multiple datasets (e.g. MRI)
- Comprehensive dosimetric analysis capabilities
“ Proknow对于研讨会的成功至关重要。Proknow的多机构能力为中心提供了一个示例,说明该系统如何有助于未来的国家粒子疗法推荐网络,尤其是在MDT审查比较质子质子 - 光子治疗计划中。”
Scott Penfold, Lead Medical Physicist, Australian Bragg Centre for Proton Therapy and Research.
案子
The comparative planning workshop featured an extremely complex case. The four participating centres each created comparative proton-photon treatment plans. The CTV was abutting critical organs at risk such as optic chiasm, optic nerves, brainstem and hippocampi. In addition to this, the requirement for a high prescription dose meant that significant optimization trade-offs were required.
The Australian Bragg Centre team utilized MonacoPT to generate the proton therapy treatment plan and used unique features including constrained optimization, dynamic spot placements and Linear Energy Transfer (LET) analysis. The robustness optimization display also allowed the team to view approximate doses during optimization, not having to navigate through multiple windows.
Dose view
LET view
Improve standard of care for photon and proton therapy
ProKnow provides tool to customize clinical metrics and their objectives into scorecards both for individual patients and across populations. Scorecards help you drive standardization, inspire quality, remove unwanted variation, and justify reimbursement.
The platform also enables comparative effectiveness to help you make data-driven decisions about which techniques, modalities, and protocols work the best for you. The solution supports all planning systems and treatment modalities, including IMRT, VMAT, conventional 3D external beam, protons, robotic radiosurgery, helical arc, and brachytherapy.
艾玛·维维尔(Emma Viviers)是佛罗里达大学健康质子治疗研究所的治疗计划医学物理学家。自2020年以来,她的部门一直在使用Proknow,目的是分析其历史临床数据。阅读有关她与该工具的互动以及与Elekta Proknow团队的更多信息。
Interview with Emma Viviers, Treatment Planning Medical Physicist, University of Florida Health Proton Therapy Institute, Florida, USA
Can you tell us about who you are and what you do?
My name is Emma Viviers. I started off my medical physics career and qualified initially in the UK, and then completed my residency in South Africa. I am currently a treatment planning medical physicist working at the University of Florida Health Proton Therapy Institute (UFPTI) and I've been there for the last five years.
What specific indications do you treat with proton therapy at your institution?
At UFPTI, we've treated patients from all over the world since we started. When we first opened 15 years ago, we were one of the very few proton facilities. We do treat with photons, proton double scatter and proton pencil beam scanning therapy. The most prevalent indications for protons would be left breast, head and neck, cranio-spinal, chordomas, prostate, lung, and pediatric cancers.
The reason for using protons for all those indications is because proton therapy can often reduce dose to adjacent organs at risk, where it can affect cardiac, lung or neurological function and have the potential to either impact life or otherwise severely affect the quality of life. That is the determining factor.
How did you first hear about ProKnow, and what is your experience with it so far?
The first experience I had with ProKnow was through the contouring accuracy programs. I found that was a really good tool to be able to learn how to contour unfamiliar structures.
As a group, we started testing ProKnow in 2020, to see if it was going to be of benefit to us, either clinically or research wise. And then, in the last year, we've basically been extensively uploading our data into ProKnow and using it for analysis of a lot of our historical clinical data.
We have approached it from different angles already.
我们有一小部分具有特定反应的患者。我们回去查看数据并与所有其他患者进行比较,以查看他们是否以任何方式是异常值。我们还使用Proknow来建立我们的基准进行未来的质量分析,并且我们一直在使用数据和出口功能以及研究和出版物。
现在,我们的数据库中有超过2,000名患者,这些患者主要是儿科和乳房患者。在一个清洁的数据库中,我们可以在其中进行大数据分析的单一小儿患者确实增加了潜力,以便能够寻找趋势,以帮助未来的小儿治疗。没有很多具有很多长期历史的质子网站,因此,拥有一个使我们能够以易于分析格式来查看大量数据的解决方案至关重要。
Who uses ProKnow at your institution?
A very pleasant change for us going forward into using ProKnow is that the solution has enabled us to transfer the ownership of information towards the radiation oncologists. They now don't have to have a particular physicist available to be able to pull the information that they need. When it's one o'clock in the morning and they're lying awake, and they want an answer, they can quickly log into ProKnow and find their own answer from their own data. It started to be used predominantly by physics but going forward it's going to be used more by the radiation oncologists.
What was the first impression of the team when using the tool?
The first impression was largely on the accessibility of the software. Not everyone necessarily wanted to move away from an in-house software in which a lot of time and resources had been invested. Having a system like ProKnow that was so easy for everybody to access was a big help to being able to implement the change. We've had very positive feedback since then. It's very user friendly and extremely accessible. Any physician offered ProKnow jumps in and uses it immediately.
How do you see ProKnow being used in the future at your institution?
We are using ProKnow very much as a pristine clinical tool. But what we envisage in the future is that we will have a research workspace and a clinical workspace so that the one does not corrupt the other. This is a helpful feature of ProKnow, to be able to keep those workspaces separated.
在图表回合中,我们还一直在讨论研究计划质量,以确保我们不仅获得了一个可以通过我们的临床公差的计划,而且还希望从我们使用的方式中获得最佳计划。Proknow帮助我们确定了哪些患者从质子疗法中受益,而且哪些患者将从铅笔梁扫描与双分散中受益。这是我们将在新的一年中使用Proknow来提高我们的计划质量的每种方式。
What one feature of ProKnow could you not live without?
The accessibility. The fact that any of our clinical personnel with logins can access the clinical data that has been assigned to them from any device. We've even had collaborators from overseas, such as the NHS in the UK, with which we're able to share data with a click of a button. That gives everybody the ability to answer their own clinical research questions at the touch of a button and with a secured cloud solution. We don't need to be trying to transfer. To securely transfer this data—over a TB of information—in any other way would have been prohibitive.
有什么超出您期望的吗?
超出我们期望的是客户支持。我从来没有与一家愿意倾听您的关注的公司合作,并且每当您与他们联系以寻求客户支持时,作为改善其软件的一种手段。他们看到我们可以识别出的任何短缺,不仅是他们需要协助我们的东西,而且还可以改善所有用户的平台。
We have had some very fundamental changes that we needed to be able to implement the solution clinically—features like the relative dose function. From a programming point of view, I understand that was a fundamental change that the ProKnow engineers went away and made happen for us. It's really encouraging to see when we do have any sort of suggestions or ideas that they are very accommodating and implement a rapid improvement in the software with each release.
你真的have a fantastic team there, the way that they interact with us. From a software point of view as well as from a personal point of view, it has really been a pleasure working the team.
Maximize operational efficiency with AI based auto-contouring
Introduction to AI program and algorithm
看维吉尔Willcut, Vice President of Physics and Research at Elekta, speak about the importance of AI in radiotherapy.
"Using AI-based auto-contouring with ProKnow was a very positive experience for me. The generation and review of contours was very fast, and the tool was easy to understand. Having a cloud-based module like ProKnow is also very helpful to efficiently deploy the solution and implement training."
Dr. Benjamin Li, MD, MBA – UCSF, President Executive Director Rayos Contra Cancer