iCAD, Inc. (NASDAQ: ICAD) a global leader in clinically proven
AI-powered solutions that enable medical providers to accurately
and reliably detect cancer earlier and improve patient outcomes,
will highlight scientific presentations, including an award-winning
poster at the European Congress of Radiology (ECR) annual meeting
in Vienna, Austria, Feb 28 – March 3, 2024. The Company also
announced it will highlight a new release for its AI-powered
ProFound Detection solution while showcasing its full Breast Health
Suite in booth X1 AI-35.
“The data presented at ECR demonstrate the real-world ability to
improve efficiency and accuracy in mammography breast
screening—from reducing workloads without compromising accuracy to
potentially reducing interval cancer rates and expediting diagnosis
for true positive cases. These findings underscore ProFound AI’s
transformative power to improve breast healthcare,” said Dana
Brown, president and CEO of iCAD.
“Furthermore, we are thrilled to showcase new workstation
features to improve the readability of iCAD’s primary solution,
ProFound Detection,” continued Brown. “This includes limiting
lesion marks to the three highest-scoring lesions, which may be
color-coded based on lesion score. Additionally, the ProFound
Scorecard may be color-coded based on case score categories, with
options for score range fine-tuning based on a facility’s
real-world data. For radiologists, these latest enhancements
further improve and facilitate their reading of mammograms.”
New ResearchThe following three oral and
award-winning poster presentations highlight the clinical research
being presented at ECR 2024. Detailed information may be found
here.
- Friday, March 1, 8:00 – 9:00 am, RPS1202 –
Adding Artificial Intelligence (AI) Case Malignancy Scoring
in a Breast Screening Program to Reduce Screen-Reading Workload: A
Retrospective Study. The study conducted by A. Nitrosi et
al. at the Reggio Emilia Breast Screening Program in Italy aimed to
assess the integration of iCAD’s artificial intelligence
mammography case malignancy scoring (AI-CMS) into a breast
screening program to alleviate screen-reading workload without
compromising accuracy. Analyzing data from 31,747 screening exams,
including 92 proven tumors, the study simulated two integrated AI
and human reading protocols (ProFound AI 2D system). Results showed
that implementing ProFound AI-CMS could substantially reduce the
number of human readings and workload by 24.8% to 30.6%, with a
modest improvement in recall rate and no increase in false
negatives observed with 10% and 15% Case Score thresholds.
- Sunday, March 3, 9:30 – 11:00 am, RPS2305 –
Retrospective Evaluation of Interval Breast Cancer: Can the Number
of Interval Carcinomas be Reduced Utilizing AI Diagnostic
Software? In this study conducted by Jonas Subelack et
al., researchers from the University of St. Gallen and Krebsliga
Ostschweiz in Switzerland and Radiologie am Theater in Germany
assessed whether iCAD’s ProFound AI could help reduce interval
carcinomas (ICs). Analyzing data from 151,245 screening mammograms
between 2010 and 2019, the study identified 264 ICs where cancer
was detected within 24 months after screening that was considered
normal. Expected results anticipate improved IC detection rates
with the software compared to initial screening, with detection
accuracy influenced by set thresholds. The study expects the
software to outperform radiologists in IC detection, suggesting
potential integration into mammography screening to reduce
ICs.
- Sunday, March 3, 11:30 am – 12:30 pm - RPS 2405 –
Adding Artificial Intelligence (AI) Case Malignancy Scoring in a
Breast Screening Program to Overcome Delay in Most Probably True
Positive Cases: A Retrospective Study. The retrospective
study at the Reggio Emilia Breast Screening Program in Italy led by
A. Nitrosi et al. aimed to assess the efficacy of implementing
iCAD’s ProFound AI case scoring strategy in a breast screening
program to expedite the reading process for potentially true
positive cases, ensuring compliance with local regulations
requiring readings within two weeks. Analyzing data from 32,012 2D
mammography screening exams, the study utilized the ProFound AI 2D
system. The AI-generated Case Scores, representing the algorithm's
confidence in malignancy, were used to prioritize readings. Results
showed that reading screening exams above certain Case Score
thresholds identified 61% to 89% of screen-detected cancers while
requiring only 5.4% to 20% of screening exams to be read. Notably,
prioritizing readings of exams with Case Scores above 40% allowed
for the recall of the majority (85%) of true positive cases within
a short time frame.
- ECR 2024 Awarded - Certificate of Merit E-Poster
Presentation – Breast Arterial Calcification
(BAC): A Proxy for Medium and Large Vessel Atherosclerotic
Calcium. In this retrospective study by C. Parghi et al.,
researchers investigated the correlation between breast arterial
calcification (BAC) as detected by ProFound AI Heart Health on
screening mammograms from Solis Mammography and the extent of
atherosclerotic disease observed on CT imaging within 12 months of
the mammogram. Analyzing data from 1,449 women, they found that a
BAC score of 3 or more was associated with a significantly higher
rate of clinically significant atherosclerotic disease in large and
medium vessels compared to a BAC score of less than 3.
Specifically, the rate increased from 11.0% to 31.0% (p <
0.001). The sensitivity, specificity, and accuracy for detecting
clinically significant atherosclerotic disease when the BAC score
was 3 or more were 21.8%, 92.9%, and 83.8% respectively. These
findings suggest that quantitative BAC assessment could offer
insight and potentially identify those who need further
cardiovascular screening.
Chirag Parghi, M.D., chief medical officer of Solis Mammography
and a pioneer in the use of mammography to assess BAC, won the
Certificate of Merit award for this poster presentation. “I am
encouraged by our findings, which highlight the potential of Breast
Arterial Calcification (BAC) assessment in revolutionizing access
to cardiovascular risk assessment. Our research demonstrates the
significance of a quantitative BAC score indicating a higher
likelihood of clinically significant atherosclerotic disease
elsewhere in the body, identifying individuals who may benefit from
further cardiovascular screening. These results continue to
advocate for screening mammography as a portal to screen for both
breast cancer and cardiovascular risk, the top two causes of death
in women worldwide."
Enhancements for ProFound Detection for 2D and 3D
MammographyThe new workstation features included in the
updates to ProFound Detection’s Third Generation solution were
designed to improve readability of iCAD results through a
configuration option to limit to three lesion marks visible on a 3D
view. This refinement ensures that radiologists can interpret the
most critical information without multiple markings, streamlining
the diagnostic process for more efficient decision-making.
Moreover, the introduction of color-coded lesion marks and case
score on the ProFound Scorecard provides an intuitive visual aid,
allowing radiologists to discern the suspicion level of detected
abnormalities quickly. This color-coded system, based on cancer
occurrence per screening population, offers a concise,
comprehensive representation of the severity of detected lesions
and the overall case, further facilitating accurate diagnosis and
prioritization of cases.
Additionally, support for the ability to fine-tune score ranges
based on real-world data enables users to customize the detection
system according to their specific clinical needs, supporting
performance and adaptability to varying patient populations.
Lastly, iCAD will highlight expanded cloud platform and
subscription licensing plans marking a significant advancement in
deployment flexibility. iCAD’s new Success Program offers a full
range of ongoing software updates to ensure customers have the
latest version of iCAD’s AI offerings, system maintenance, and
customer support.
To discover more about iCAD’s presence at the ECR 2024 annual
meeting or to schedule time with the iCAD team, virtually or
in-person, visit www.icadmed.com/ecr-2024
About iCAD, Inc.iCAD, Inc. (NASDAQ: ICAD) is a
global leader on a mission to create a world where cancer can’t
hide by providing clinically proven AI-powered solutions that
enable medical providers to accurately and reliably detect cancer
earlier and improve patient outcomes. Headquartered in Nashua,
N.H., iCAD’s industry-leading ProFound Breast Health Suite provides
AI-powered mammography analysis for breast cancer detection,
density assessment and risk evaluation. Used by thousands of
providers serving millions of patients, ProFound is available in
over 50 countries. In the last five years alone, iCAD estimates
reading more than 40 million mammograms worldwide, with nearly 30%
being tomosynthesis. For more information, including the latest in
regulatory clearances, please visit www.icadmed.com.
Forward-Looking StatementsCertain statements
contained in this News Release constitute “forward-looking
statements” within the meaning of the Private Securities Litigation
Reform Act of 1995, including statements about the expansion of
access to the Company’s products, improvement of performance,
acceleration of adoption, expected benefits of ProFound AI®, the
benefits of the Company’s products, and future prospects for the
Company’s technology platforms and products. Such forward-looking
statements involve a number of known and unknown risks,
uncertainties, and other factors that may cause the actual results,
performance, or achievements of the Company to be materially
different from any future results, performance, or achievements
expressed or implied by such forward-looking statements. Such
factors include, but are not limited, to the Company’s ability to
achieve business and strategic objectives, the willingness of
patients to undergo mammography screening in light of risks of
potential exposure to Covid-19, whether mammography screening will
be treated as an essential procedure, whether ProFound AI will
improve reading efficiency, improve specificity and sensitivity,
reduce false positives and otherwise prove to be more beneficial
for patients and clinicians, the impact of supply and manufacturing
constraints or difficulties on our ability to fulfill our orders,
uncertainty of future sales levels, to defend itself in litigation
matters, protection of patents and other proprietary rights,
product market acceptance, possible technological obsolescence of
products, increased competition, government regulation, changes in
Medicare or other reimbursement policies, risks relating to our
existing and future debt obligations, competitive factors, the
effects of a decline in the economy or markets served by the
Company; and other risks detailed in the Company’s filings with the
Securities and Exchange Commission. The words “believe,”
“demonstrate,” “intend,” “expect,” “estimate,” “will,” “continue,”
“anticipate,” “likely,” “seek,” and similar expressions identify
forward-looking statements. Readers are cautioned not to place
undue reliance on those forward-looking statements, which speak
only as of the date the statement was made. The Company is under no
obligation to provide any updates to any information contained in
this release. For additional disclosure regarding these and other
risks faced by iCAD, please see the disclosure contained in our
public filings with the Securities and Exchange Commission,
available on the Investors section of our website
at http://www.icadmed.com and on the SEC’s website
at http://www.sec.gov.
CONTACTS
Media inquiries: pr@icadmed.comInvestor Inquiries:
ir@icadmed.com
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