Imaging Informatics: Page 30

RSNA honors AI pancreatic cancer research with Margulis Award

By AuntMinnie.com staff writers

The RSNA is honoring pancreatic cancer detection research with its Alexander R. Margulis Award for Scientific Excellence.

November 13, 2023

Pancreas New Social

Radiology Partners touts AI implementation in 20M exams

By AuntMinnie.com staff writers

Radiology Partners has implemented its AI tools in more than 20 million annual exams this year.

November 13, 2023

Artificial Intelligence Ai Hand Social

Study sheds light on AI 'black box' problem

A group in Japan has provided evidence that so-called "intrasource balance" in COVID-19 chest x-ray data sets is vital to minimize the risk of poor performance of AI deep-learning models.

November 13, 2023

Features found on MRI may predict liver cancer recurrence after surgery

By Kate Madden Yee

An algorithm based on MRI features could help clinicians predict liver cancer recurrence after patients have undergone liver resection, researchers have found.

November 8, 2023

Preoperative axial extracellular contrast agent-enhanced (A-E) MRI and (F-H) follow-up CT images in a 71-year-old male patient with chronic hepatitis B and a serum neutrophil count of 4.2 × 109/L. A 5.6-cm mass with a 1.9-cm satellite nodule was detected in segments V and VIII. (A) The mass (asterisks, A-E) shows mild-to-moderate hyperintensity on T2-weighted images, (B) hypointensity on T1-weighted noncontrast-enhanced images, (C) less than 50% hyperenhancement on late arterial phase images, (D) nonperipheral washout and incomplete enhancing capsule on portal venous phase images, and (E) marked diffusion restriction on diffusion-weighted images (b = 800 sec/mm2). The mass was confirmed at histopathologic analysis as moderately differentiated hepatocellular carcinoma with microvascular invasion. With an advanced-stage recurrence after resection score of 19.8 points (4.2 + 5.6 + 10), this patient was assigned to the high-risk group (≥15 points) for advanced-stage recurrence. At follow-up, (F) noncontrast-enhanced, (G) arterial phase, and (H) portal venous phase CT images acquired at day 70 after surgery show multifocal intrahepatic recurrence and tumor thrombus in the left portal vein (black arrow, H). Images and caption courtesy of the RSNA.

Mammography-based nomogram predicts breast microcalcifications

By Amerigo Allegretto

A mammography-based radiomic nomogram could be useful in predicting risk of malignancy in suspicious breast microcalcifications.

November 8, 2023

Breast Mammo Computer 400 (2)

Playkits develop role in easing kids' anxiety over MRI scans

By Edna Astbury-Ward, PhD

Giving young children a playkit that uses both virtual and augmented reality appears to reduce anxiety about this procedure, U.K. researchers report.

November 8, 2023

A smartphone is a key component of the playkit devised by the Sheffield team. Photo courtesy of DYR in collaboration with Dubit UK.

Imaging and 3D printing enhance teaching of anatomy

The use of cross-sectional imaging and 3D printing may enhance teaching of spinal anatomy in undergraduate medical education.

November 7, 2023

MRI radiomics show promise for identifying Ki-67 breast cancer

By Kate Madden Yee

MRI radiomics show a high diagnostic accuracy for predicting Ki-67 expression in breast cancer, researchers have found.

November 6, 2023

Breast Cancer 400

AI-FoCUS performs well in LVEF assessment

By Amerigo Allegretto

AI-assisted FoCUS is on par with transthoracic echocardiogram when it comes to assessing left ventricular ejection fraction estimation.

November 3, 2023

Ultrasound Sound Waves 400 (1)

AI model predicts scoliosis spinal curve progression

A deep-learning AI model shows promise for predicting spinal curves in individuals with adolescent idiopathic scoliosis.

November 3, 2023

Three regions of interest (ROI) were selected and processed for training from each original radiograph. The leftmost image is the original coronal view radiograph. The original radiograph was passed through the CLAHE algorithm to enhance image brightness and contrast. The three crop boxes outlined by red dotted lines illustrate the three crops generated for model training. Crop 1 selects the ROI for the whole-spine region according to coordinates exported by AlignProCARE. Crops 2 and 3 select the ROIs for the upper and lower end vertebra of the major curvature. All ROIs were subsequently resized into 256 × 256 for Crop 1 and 50 × 50 for Crop 2 and 3. Crop 1 ROI was additionally multiplied by a Gaussian mask to amplify the signal of the vertebrae. Image courtesy of the Global Spine Journal.

CT radiomics help characterize retroperitoneal sarcomas

By Kate Madden Yee

CT radiomics can help clinicians predict the histological type and grade of retroperitoneal sarcomas, a recently published study has found.

November 2, 2023

AI boosts radiologist perception training

A team in Europe has launched a novel web application to help radiology trainees gain skills in detecting lung nodules on chest x-rays.

October 31, 2023

Screenshots of the imaging viewer interface before (a-b) and after (c-d) having clicked “Review placed markers.” The “Case assessment widget” has been magnified in (b,d). One marker was incorrectly placed (c), which is signified with a red cross. One nodule was not identified (c) and was highlighted by a yellow circle through the mouse over function in the “List of synthetic lesions.” Image courtesy of the British Journal of Radiology.

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