How does HealthMyne provide image quantification for lesions?

After the 1970s, the emergence of large-scale diagnostic radiology equipment such as CT and MRI made radiologists have their own diagnostic tools. Radiology has greatly improved the accuracy of disease diagnosis and played an increasingly important role in clinical diagnosis. Nowadays, radiology imaging examination diagnosis can be said to be the "eye" of clinicians, and it is a "signpost" that cannot be separated from clinical treatment and surgery.

Imaging examinations can directly influence clinical decisions, and radiologists need to analyze large amounts of image data to determine a patient's disease status. To ensure the accuracy of the image report, the radiologist observes the images one by one on the display and, if necessary, post-processes the images. From these black and white images, radiologists find clues to find the lesions and culprit that endanger human health.

Due to the large number of patients and the lack of advanced tools, it is difficult for radiologists to provide consistent and standardized data to healthcare professionals, leading to information gaps in medical collaboration and personnel communication in clinical diagnosis. HealthMyne's Quantitative Imaging Decision Support (QIDS)® software platform is dedicated to providing solutions for clinical reading, clinical decision making and cross-disciplinary teams to achieve precise patient management and improve clinical productivity. The software treats medical images as valid data that can be used to break down on cancer, cancer and other related diseases.

According to the Arterial Network, HealthMyne's QIDS® platform helps doctors track clinical trials and evaluate treatment responses, simplifying processes. During the radiologist's reading, they no longer need to follow the correct steps through the post-it notes and notes to complete the necessary data. The input, output and related applications of digital information can determine the lesions of different patients, which can ensure that radiologists can improve their work efficiency and diagnose more patients while achieving accurate reading.

As HealthMyne's official video shows, "The story of every cancer patient begins with an image." The company's software brings together medical imaging data and patient health records and shares the results with radiologists and oncologists to enable clinicians to track changes in tumor or nodule size. Currently, QIDS software is being tested at the University of Wisconsin Hospital, Clinic, and the Moffett Cancer Center in Tampa, Florida.

In 2016, HealthMyne won the highest award in the Personalized Medicine World Conference and was named one of the “Most Promising Companies”. The competition involved two rounds of judging panel selection, including venture capitalists from Mérieux Développement, Five Prime Ventures, Data Collective and Faridan Ventures.

In March 2015, HealthMyne received $4.5 million in Series A financing, led by 4490 Ventures and Venture Investors. In September 2016, HealthMyne received $6.9 million in risk round financing, with 23 investors participating in the project. The company plans to use the funds for product development and business operations.

From left to right, Rock Mackie, Arvind Subramanian and Linda Peitzman

Founded in 2013, HealthMyne has more than 20 employees. The company is made up of medical physicist Rock Mackie of the University of Wisconsin-Madison and a startup team that has had multiple imaging companies.

Currently, Professor Mackie is the Chairman of HealthMyne and the Director of Medical Devices (Part-time) at the Motrich Institute in Wisconsin. He received his Ph.D. in physics from the University of Alberta, established more than 50 publications, and received more than 30 patents in the United States.

Professor Mackie is the lead founder of spiral tomotherapy. He studied computer technology to help doctors calculate the best route to deliver radiation to the tumor. Spiral tomography is a cancer radiotherapy method based on the TOMO device of the spiral tomography system. It is the most advanced tumor radiotherapy technology. The therapy emits targeted radiation and preserves intact tissue around the tumor. Mackie was awarded William D. in 2014. The Coolidge Award, the highest award from the American Association of Medical Physicists.

In 1997, Professor Mackie, the chairman and co-founder of TomoTherapy, focused on R&D technology to achieve accurate, image-guided radiation therapy through an innovative software system. Under the leadership of Professor Mackie, TomoTherapy's initial public offering in 2007 reached a peak market value of more than $120 million. Prior to the sale of TomoTherapy to Accuray, the company's cumulative revenue exceeded $1 billion.

“The healthcare sector is changing rapidly and HealthMyne is at the center of this transformation,” said Arvind Subramanian, CEO of HealthMyne. “Historically, radiologists have been focusing on quantity, but with the changes in medical reimbursement and treatment reports, they are committed to investing in technologies, processes and innovations that deliver value.”

As President and CEO of HealthMyne, Arvind Subramanian is committed to bringing his 26 years of experience in medical technology (diagnostic imaging and healthcare IT). He has served as CEO/Chief Operating Officer/Vice President/General Manager and other management positions in various large and small companies, including GE Healthcare, Wolters Kluwer and a venture capital technology startup ProVation Medical . ProVation Medical, a healthcare software company based in Minneapolis, was acquired by Wolters Kluwer in 2006.

Subramanian's leadership experience at ProVation Medical has earned him the “Outstanding Entrepreneur” award from the New Enterprise Association (NEA). He received his bachelor's and master's degrees from Case Western Reserve University (Cleveland, Ohio).

In addition, Dr. Linda Peitzman joined HealthMyne as Director of Medical Information at HealthMyne. She is a physician with extensive experience in health technology and has over 25 years of experience in HealthMyne's healthcare IT software, informatics and clinical decision making. She also has deep expertise in EMR Integration, quality improvement, coding medical terminology, data integration and management, physician change management, and healthcare clinical.

Dr. Peitzman is an American Academy of Family Physicians and a member of the American Board of Family Medicine specialist. Dr. Peitzman holds a board of directors in clinical informatics and a doctorate in medicine from the University of Minnesota.

HealthMyne CEO Subramanian and Dr. Peitzman worked together for 14 years. According to the arterial network (vcbeat), they worked as a colleague at ProVation Medical and Wolters Kluwer. Subramanian said that he and Dr. Peitzman have a very good understanding of their work because they know each other very well.

Dr. Robert Gillies, the "father of radiology" at the Moffett Cancer Center, said in his paper "Radioics: Images Are More than Pictures, They Are Data", Radiology Can be used as a new development in clinical decision-making. When radiologists use software to identify, segment, and extract useful data, Dr. Robert Gillies believes that these data provide strong evidence for clinical decision making in the diagnosis of disease, predicting the source of the disease, and making prescriptions.

The QIDS system is an FDA-approved one-stop reading platform that quantifies images and provides data analysis and clinical information for key workflows. CEO Subramanian said, “For our customers, QIDS has broken through the information landscape of the past, and it provides radiologists with an opportunity to enhance their professional image in the nursing team.”

Traditionally, radiologists measure the injury site of a patient through a PACS system, which is equivalent to a digital "caliper" for medical imaging. Clinical studies have found that different interpretations of medical images by different physicians lead to inconsistent information, making it difficult to achieve high-quality reading.

HealthMyne's Fast and Accurate Metrics (RPM) is designed to address consistency issues while providing greater efficiency in disease identification, measurement, and tracking. Metrics often combine patient electronic health data with other clinical system information.

RPM uses (AI) technology to provide image quantification for a variety of lesions, including volume, density, mass, %GGO, texture, composition, doubling time, and other 500 key indicators for lesions/lesions. Each RPM-recognized lesion is then added to HealthMyne's database, which is a valuable asset for medical planning, data mining and research analysis.

RPM's algorithm not only focuses on the examination of the CT field (Housefield Unit), but also focuses on modeling a more accurate 3D lesion model by calculating the geometric features of the lesion, 3D surface deformation, robust statistics, Bayesian probabilities and Markov models. In addition, some special intelligent organ identification methods are also used, for example, how to distinguish between normal lung and emphysema by comparing normal tissue with abnormal tissue.

HealthMyne believes that more precise measurements of each element will make an important contribution to improving patient care, clinical research and decision making.

In addition, the QIDS platform and RPM capabilities reduce the number of manual processes for radiologists, and the intelligent system allows them to focus more on the expertise and the disease itself. The main functions of QIDS platform automation include acquisition of relevant historical research, translation/scaling of current and previous images, localization and identification of lesion features in early studies, and comparison of current and previous lesion images. The platform not only optimizes the process of lesion measurement, but also reduces the need for medical staff to re-examine lesions and read them again.

RADLogics is committed to providing radiology physicians with medical imaging solutions that use science and technology to help them serve patients and create better and more accurate reports. RADLogics combines big data image analysis with cloud technology to provide radiologists with a tool to support image interpretation. The system has a unique algorithm that processes imaging data in large quantities in seconds and sends a preliminary report to the radiologist. The content of the report is usually presented in their usual templates and PACS so that they can review, judge and analyze the imaging data.

Compared with HealthMyne, RADLogics' main task is to output reports that provide medical personnel with an initial stage of information reference. Taking CT lung cancer screening as an example, this information includes quantifiable volume of nodules/nodules, diameter of aorta, volume of free fluid/air, and the like. HealthMyne's Rapid and Accurate Metrics (RPM) provides a more detailed and comprehensive measurement of indicators and an in-depth investigation and analysis of the lesion itself. HealthMyne and RADLogics use AI technology to combine data and images to provide automated forms/reports for radiologists to increase productivity.

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