News | RSNA | July 14, 2021

RSNA Co-sponsors Brain Tumor AI Challenge

The Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society have announced the launch of the 10th annual Brain Tumor Segmentation (BraTS) challenge

Getty Images

July 14, 2021 — The Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society have announced the launch of the 10th annual Brain Tumor Segmentation (BraTS) challenge.

The RSNA/ASNR/MICCAI BraTS 2021 challenge focuses on brain tumor detection and classification, utilizing multi-parametric magnetic resonance imaging (mpMRI) scans. It represents the culmination of a decade of BraTS challenges, offering a large and diverse dataset with detailed annotations and an important associated biomarker.

“RSNA has significantly ‘upped their game’ with this year’s Brain Tumor Classification Challenge,” said Adam E. Flanders, M.D., who serves on the RSNA Machine Learning Subcommittee. “It is our first AI Challenge to use MRI, and it is also our first to address an oncology problem — brain cancer.”

Another novel aspect of the challenge is that it addresses two very clinically relevant tasks: (1) to develop the most accurate automated method to measure the size of the visual components of a cancer—this has implications in being able to precisely track growth or response of the cancer to treatment—and (2) to develop a reliable non-invasive method to predict the presence of specific genetic features in the tumor from the MR images alone.

“These genetic markers are indicators of treatment response and survival,” Flanders said. “This has potential use in planning for customized therapies even before surgery is performed.”

Participants may choose to compete in one or both of the challenge tasks.

In the first task, Brain Tumor Segmentation, participants build models that produce detailed segmentations of brain tumor sub-regions that correspond to those created by neuroradiologists. Such segmentations could enable improvements in computer-assisted surgery, radiotherapy guidance and disease progression monitoring.

For second task, Brain Tumor Radiogenomic Classification, participants build models that use mpMRI imaging to predict MGMT (O[6]-methylguanine-DNA methyltransferase) promoter methylation status. Such radiogenomic models could improve the efficiency and accuracy of diagnosis, prognosis and treatment planning for patients with glioblastoma.

Glioblastoma and diffuse astrocytic glioma with molecular features of glioblastoma are the most common and aggressive malignant primary tumors of the central nervous system in adults. Glioblastoma patients have very poor prognosis, and the current standard of care comprises surgical resection followed by radiotherapy and chemotherapy. The methylation of DNA repair enzyme MGMT’s promoter in newly diagnosed glioblastoma has been identified as a favorable prognostic factor and a predictor of chemotherapy response. Determination of MGMT promoter methylation status in newly diagnosed glioblastoma can influence treatment decision making.

Final model submission is due October 12. Winners will be announced on November 23 and recognized recognized in an event in the AI Showcase Theater at RSNA 2021 on Monday, November 29. Prize money for the top entries in each task is provided by Intel, NeoSoma and RSNA.

For more information: RSNA.org/AI-image-challenge

You can find more RSNA news and content here.

Related Content

This study shows that thanks to deep learning analysis applied to digitized pathology slides, artificial intelligence can classify patients with localized breast cancer between high risk and low risk of metastatic relapse in the next five years.

Getty Images

News | Artificial Intelligence | September 22, 2021
September 22, 2021 — The RACE AI study conducted by Gustave...
The development of new research guidelines for interventional oncology that standardize treatment outcomes and the reporting of data represents a major step forward for an increasingly important medical subspecialty, according to a report in Radiology.

Getty Images

News | Radiation Oncology | September 21, 2021
September 21, 2021 — The development of new research guidelines for interventional oncology that standardize treatmen
HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed research recently published in the journal Cancers has demonstrated the ability of its radiomics technology to identify biomarkers that predict whether patients with lung adenocarcinoma would benefit from immunotherapy.

Semi-automatic lesion identification: (A) Manual ROI indication. In blue, it is possible to observe the axes that cross the lesion manually delineated by the radiologist on a plane of the MPR. The intensity of the lesion boundary (estimated) is represented with a red outline. (B) Additional axes can be dragged onto other orthogonal MPR views. From left to right, it is possible to observe the initial long axis outlined by the radiologist and the 2D contours on the axial, coronal and sagittal views of the lesion used as a starting point for the RPM algorithms. (C) Resulting 3D contour of the lesion (in blue).

News | Radiomics | September 21, 2021
September 21, 2021 —  HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed ...
An illustration based on simulations by Rice University engineers shows a gadolinium ion (blue) in water (red and white), with inner-sphere water -- the water most affected by the gadolinium -- highlighted. The researchers’ models of gadolinium in water show there’s room for improvement in compounds used as contrast agents in clinical magnetic resonance imaging.

An illustration based on simulations by Rice University engineers shows a gadolinium ion (blue) in water (red and white), with inner-sphere water -- the water most affected by the gadolinium -- highlighted. The researchers’ models of gadolinium in water show there’s room for improvement in compounds used as contrast agents in clinical magnetic resonance imaging. Illustration by Arjun Valiya Parambathu

News | Magnetic Resonance Imaging (MRI) | September 20, 2021
September 20, 2021 — ...
News | Breast Imaging | September 20, 2021
September 20, 2021 — ImageCare Centers is unveiling its new “PINK Better Mammo” service with the addition of...
Shimadzu Medical Systems USA, a leading manufacturer of advanced medical X-ray imaging systems, has announced that the Trinias unity edition product line has been awarded a contract from Vizient, Inc., a healthcare performance improvement company, effective Sept. 1, 2021.
News | X-Ray | September 17, 2021
September 17, 2021 — Shimadzu Medical Systems USA, a leading manufacturer of advanced medical...
Avoiding contrast dyes for imaging tests not necessary if concerned about iodine allergy, peer-reviewed study concludes #MRI

Getty Images

News | Contrast Media Injectors | September 16, 2021
September 16, 2021 — FDB (First Databank), a leading provider of drug and medical device knowledge that helps healthc
This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

This is an example of TriVu ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

Feature | Breast Imaging | September 15, 2021 | By Jennifer Meade
The...
While the Mammography Quality Standards Act (MQSA) and the introduction of EQUIP (Enhancing Quality Using the Inspection Program) have been successful in standardizing and enhancing mammographic imaging quality, inadequate breast positioning can dramatically impact the ability of radiologists and technicians to quickly and accurately detect breast cancer and potentially malignant lesions in their patients

Getty Images

Feature | Mammography | September 15, 2021 | By Christopher Austin, M.D. and Randy D. Hicks, M.D., MBA