DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Pediatrics
SEARCH
Ubicación actual:
>
> This Story


Conexión o Registro to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

More Industry Headlines

AAMI Product Showcase A sneak peek at some of the products to check out on the show floor

Japanese startup to develop ultra-compact proton therapy system Designed to replace conventional radiotherapy systems

Study calls for better factoring in of patient complexity in head CT scans Should consider complexity of associated billed patient encounters

FDA okays Philips' MR-only radiotherapy simulator, MRCAT pelvis Create treatment plans for bladder, rectal, anal and cervical cancer

Getting remote patient monitoring out of the garage and onto the streets Six strategies for meaningful outreach

Clinical engineering and the science of the capital budget process Purchasing insights from the experts at MD Buyline

Getting ahead of the digital health avalanche How can a health system know which innovative tools are worth its time?

Half of radiologists have net worth of $2 million or more New survey analyzed responses from over 20,000 physicians in over 30 specialties

Study shows 30 percent drop in unnecessary head CTs with BrainScope One May help ensure appropriate use of imaging

Varian to acquire Cancer Treatment Services International for $283 million Enables production of multidisciplinary solutions

Image-based AI predicts breast cancer up to five years sooner

por John W. Mitchell , Senior Correspondent
A team of researchers has applied a deep learning algorithm to find early breast cancer based on individual risk-based factors, rather than protocols based on current profiling standards, such as breast density.

The lead radiologist on the team reported that her institution, Massachusetts General Hospital (MGH), plans to begin actively using the deep learning platform to spot breast cancer within the next six months.

Story Continues Below Advertisement

Free Marketplace where Lenders Compete Get Pre-Approved for up to $500,000

Get financing today. We say YES more! Easy, Fast, Application. Pick the payment that best works for you. Tax Benefits + Leasing = Huge Savings! NEVER BE OBSOLETE. NO DOWN PAYMENT. FIXED MONTHLY PAYMENT. MRI, CT, Ultrasound, Digital X-ray, Dental Equipment



“This is very exciting,” Dr. Constance D. Lehman, a member of the research team and professor of Radiology, MGH, told HCB News. “Too many cancers are missed. My colleagues and I have always wanted to be more precise. With an individual risk-based tool we will be able to do that.”

The new AI mammography program was developed as a joint effort between MGH and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). The program included nearly 90,000 mammograms conducted on almost 40,000 women. It was automatically run in the background with routine mammography, according to Lehman.

“Understanding who is at risk of developing breast cancer is a key component of earlier detection and better outcomes," explained Adam Yala, lead author and Ph.D. student at MIT. "By understanding who is at risk, we can personalize how often patients are screened and with what modality to catch their cancer as early as possible.”

According to the authors, current breast cancer protocols are driven mainly by human knowledge and intuition on markers sometimes weakly correlated with breast cancer, especially at the individual level. For example, most current protocols are based on study of Caucasian populations, which does not serve women of other races well. Black women are 42 percent more likely to die from breast cancer, according to MIT.

Also, Lehman said that under recent federal guidelines radiologists are required to provide women information on their breast density. Half of all women have dense breasts. But, she said, such information tends to be confusing to patients.

The new AI program can detect cancer patterns too subtle for the human eye to detect on a mammogram up to five years sooner. Early breast cancer detection is associated with better survival rates and lower treatment costs. The researchers also noted that the same basic programs could also eventually be used to predict other disease states in women, such as cardiovascular disorders or other cancers.

“Since the 1960s radiologists have noticed that women have unique and widely variable patterns of breast tissue visible on the mammogram,” said Lehman. “These patterns can represent the influence of genetics, hormones, pregnancy, lactation, diet, weight loss, and weight gain. We can now leverage this detailed information to be more precise in our risk assessment at the individual level.”

A widely accepted AI application could help dispel a long-standing disagreement in medicine around screening. Although mammography has been shown to reduce breast cancer mortality, there is continued debate on how often to screen and when to start. While the American Cancer Society recommends annual screening starting at age 45, the U.S. Preventative Task Force recommends screening every two years beginning at age 50. Further, as reported last week in HCB News, the American Society of Breast Surgeons issued yet another standard for screening guidelines.

Related:


You Must Be Logged In To Post A Comment

Anuncie
Aumente su conciencia de marca
Subastas + ventas Privadas
Consigue el mejor precio
Comprar Equipo/Piezas
Encuentra El Precio Más Bajo
Noticias diarias
Lee las últimas noticias
Directorio
Examina todos los usuarios DOTmed
Ética en DOTmed
Ver nuestro programa de ética
El oro parte programa del vendedor
Recibir las solicitudes de PH
Programa de distribuidor con servicio gold
Recibe solicitudes
Proveedores de atención de salud
Ver todos los HCP (abreviatura de asistencia médica) Herramientas
Trabajos/Entrenamiento
Encontrar/rellenar un trabajo
Parts Hunter +EasyPay
Obtener presupuestos para piezas
Certificado recientemente
Ver usuarios certificados recientemente
Recientemente clasificado
Ver usuarios certificados recientemente
Central de alquiler
Alquila equipos por menos
Vende equipos/piezas
Obtén más dinero
Mantenga el foro de los técnicos
Buscar ayuda y asesoramiento
Petición sencilla de propuestas
Obtén presupuestos para equipos
Feria comercial virtual
Encuentra servicio para el equipo
El acceso y el uso de este sitio está conforme a los términos y a las condiciones de nuestro AVISO LEGAL & AVISO DE LA AISLAMIENTO
Característica de y propietario DOTmeda .com, inc. Copyright ©2001-2019 DOTmed.com, Inc.
TODOS LOS DERECHOS RESERVADOS