Median Technologies Reports Excellent Results from Its Independent Verification Study
17 Gennaio 2024 - 5:45PM
Business Wire
In an important milestone towards market
introduction, Median Technologies announces that its CADe/CADx
Software as Medical Device (SaMD), eyonis™ LCS, has demonstrated
excellent performance in an independent verification study—a
critical step in the regulatory process for obtaining 510(k)
clearance and CE marking.
- The independent verification’s purpose is to validate SaMD
eyonis™ LCS' performance on a novel patient cohort which is a
critical phase prior to the pivotal studies for any SaMD
device.
- A new, proprietary algorithm, developed in the latter half of
2023, has shown significantly enhanced results compared to its
predecessor, tested during the second half of 2022 and the first
half of 2023.
- The updated SaMD eyonis™ LCS achieved an Area Under the Curve
(AUC) of 0.93, significantly surpassing the primary endpoint of AUC
0.80 for the pivotal standalone study for regulatory
clearance.
- With its strong medico-economic potential, the new algorithm
will be used in the two remaining pivotal studies, targeting 510(k)
clearance and marketing authorization in the United States by Q1
2025, and CE marking for the European market by mid-2025, in line
with EU regulations.
Regulatory News:
Median Technologies (FR0011049824, ALMDT, PEA/SME eligible)
today announces that it has achieved very positive results from the
independent verification study for its CADe/CADx1 SaMD eyonis™2 LCS
(Lung Cancer Screening).
This evaluation utilizes retrospective patient data from diverse
sources, setting the stage for the two forthcoming pivotal
studies—analytical validation with the Standalone study (REALITY,
MT-LCS-002) and clinical validation with the Multi-Reader
Multi-Case study (RELIVE, MT-LCS-004)—in line with discussions
during FDA Q-Submissions.
Innovations Leading to Enhanced Performance
The study compared two versions of SaMD eyonis™ LCS,
spotlighting a new algorithm developed in H2 2023 that
significantly improved the detection and characterization of
malignant lung nodules, achieving an AUC3 of 0.93 with 92% of
sensitivity and 85% of specificity at patient level (Youden Index)
in a cohort of 300 patients. This marks a major step forward from
the 2022 algorithm's AUC of 0.91 with 84% of sensitivity and 87% of
specificity at patient level (Youden Index), demonstrating Median's
commitment to continuous innovation and excellence in medical
technology.
The primary endpoint for the SaMD eyonis™ LCS used in the
independent verification study is the same as the primary endpoint
set in the pivotal Standalone study, i.e. measurement of AUC at
patient level. The value to be achieved in the eyonis™ LCS
Standalone study for 510(k) clearance and CE marking is an AUC
greater than 0.80.
Implications for Global Health
The results obtained in the independent verification study
conducted with the new version of the SaMD eyonis™ LCS add
significant momentum to Median Technologies regarding the remaining
validation steps leading towards regulatory approvals in the United
States and Europe. They also maximize the medico-economic impact
the SaMD eyonis™ LCS could have for the early diagnosis of lung
cancer and for the development of screening programs, while
strengthening the Company for future negotiations with payers in
the United States and Europe.
In order to integrate the new algorithm, Median is now aiming
for FDA 510(k) clearance for its CADe/CADx SaMD eyonis™ LCS in the
first quarter of 2025 and CE marking by the end of the first half
of 2025.
Strategic Focus and Global Impact
"The integration of the new version of our algorithm, will give
us a decisive competitive advantage and significantly impact the
early diagnosis of lung cancer—the leading cause of cancer death
globally" emphasizes Fredrik Brag, CEO and founder of Median
Technologies. "Early diagnosis of lung cancer is already effective
and has been reimbursed since 2015 in the United States as part of
a screening program that currently covers a target population of
14.5 million Americans. Since July 2022, the use of tissue
characterization software has been covered by a temporary
reimbursement code of $650 per patient representing a very
significant total addressable market for our SaMD eyonis™ LCS. In
Europe, the organization of national lung screening programs for
targeted populations is one of the recommendations made by the
European Union in the "Europe's Beating Cancer" plan. It has been
considerably reinforced by the publication in November 2023 of the
2024-2029 Manifesto Time to accelerate: Together Against Cancer4",
adds Fredrik Brag.
About Median Technologies: Pioneering in innovative imaging
solutions and services, Median Technologies harnesses cutting-edge
AI to elevate the accuracy of early cancer and metabolic disease
diagnoses and treatments. Since its inception, the French-based
company, with a presence in the U.S. and China, has been recognized
as an "Innovative company" by BPI France and trades on the Euronext
Growth market (ISIN: FR0011049824, ticker: ALMDT). Median's
offerings, including iCRO and the eyonis™ suite, empower
biopharmaceutical entities and clinicians to advance patient care
and expedite novel therapies. Median is eligible for the French SME
equity savings plan scheme (PEA-PME).
For more information: www.mediantechnologies.com
1 A radiological CADe device is “intended to identify, mark,
highlight or otherwise direct attention to portions of an image
that may reveal abnormalities during interpretation of images by
the clinician.” A CADx device is “intended to provide information
beyond identifying abnormalities, such as an assessment of
disease.” Source: FDA 2 Formerly known as iBiopsy® 3 AUC ROC or
AUROC (Area Under the ROC Curve) is a global performance metric
used in machine learning to evaluate classification models. It’s
derived from the Receiver Operating Characteristic (ROC) curve. The
AUC measures the entire two-dimensional area underneath the ROC
curve. AUC values range from 0 to 1, where an AUC of 1 indicates
perfect classification power and an AUC of 0.5 suggests the model
has no discrimination capacity, equivalent to random guessing. An
AUC below 0.5 implies the model performs worse than random. 4
https://www.europeancancer.org/manifesto
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version on businesswire.com: https://www.businesswire.com/news/home/20240117827943/en/
Median Technologies Emmanuelle Leygues Head of Corporate
Marketing & Financial Communications +33 6 10 93 58 88
emmanuelle.leygues@mediantechnologies.com
Press - ALIZE RP Caroline Carmagnol +33 6 64 18 99 59
median@alizerp.com
Investors - ACTIFIN Ghislaine Gasparetto +33 6 21 10 49
24 ggasparetto@actifin.fr
Grafico Azioni Median Technologies (EU:ALMDT)
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Da Ott 2024 a Nov 2024
Grafico Azioni Median Technologies (EU:ALMDT)
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Da Nov 2023 a Nov 2024