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Breast Mammo Computer 400
Breast
Mammography AI model performs well in screening populations
A mammography-based AI model showed good and generalizable performance across European populations, according to study results presented December 7 at the San Antonio Breast Cancer Symposium in Texas.
Breast Cancer2
Breast
RSI predicts early response to chemotherapy in breast cancer
Workflow
Practice Management
Complexity of radiology exams has skyrocketed
Lung Ct Images 400
CT
Pneumonia on CT? Consider additional imaging so as not to miss cancer
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Mammography AI model performs well in screening populations
A mammography-based AI model showed good and generalizable performance across European populations, according to study results presented December 7 at the San Antonio Breast Cancer Symposium in Texas.
December 8, 2023
Breast Mammo Computer 400
RSI predicts early response to chemotherapy in breast cancer
Restriction spectrum imaging (RSI) is a suitable method for evaluating neoadjuvant therapy response early for breast cancer.
December 8, 2023
Breast Cancer2
Complexity of radiology exams has skyrocketed
The complexity of radiology exams should be considered a driving force over the number of exams when estimating radiology workloads.
December 8, 2023
Workflow
Pneumonia on CT? Consider additional imaging so as not to miss cancer
Organizing pneumonia can hide underlying lung cancers in up to 10% of cases, and repeat imaging in the form of PET/CT -- and additional biopsy -- should be considered in patients with high clinical suspicion of malignancy, researchers have reported.
December 8, 2023
Lung Ct Images 400
3D printing method using ultrasound shows success
Researchers are highlighting their approach to 3D printing, which uses ultrasound waves to create objects from sonically cured inks.
December 7, 2023
A scheme shows the minimally invasive left atrial appendage closure by delivering and solidifying sono-inks in the entire atrial appendage volume. Researchers highlighted the success of their deep-penetrating acoustic volumetric printing method, which uses focused ultrasound. Image courtesy of Xiao Kuang.
Study: Ditch the contrast agent in PET/MRI scans in children
F-18 FDG-PET/MRI scans without the use of a contrast agent should be the top choice for imaging children suffering from lymphoma.
December 7, 2023
Pet Children
DCE-MRI shows treatment response for triple-negative breast cancer
DCE-MRI performs well in predicting early response to immunochemotherapy in women with triple-negative breast cancer.
December 7, 2023
Mri Breast 400
At least 15% of surgeries after LCS are performed on benign lesions
At least 15% of surgeries patients undergo after lung cancer screening are performed on benign lesions, according to an RSNA 2023 presentation.
December 7, 2023
Lung Ct Images 400
CEM shows value as surveillance imaging tool
Contrast-enhanced mammography (CEM) has utility as a surveillance tool for women with a personal history of breast cancer.
December 6, 2023
Breast Mammography Scanner 400
ChatGPT tested on nuclear medicine cases
ChatGPT shows potential for diagnosing nuclear medicine cases, yet needs further development before it can be implemented in practice.
December 6, 2023
Chatgpthead
DBT plus mammo detects breast cancers with higher histologic grades
Digital breast tomosynthesis (DBT) plus synthesized mammography screening leads to higher detection of early-stage invasive breast cancers grades 2 or 3.
December 6, 2023
Imaging depicts a screen-detected invasive breast cancer in the dense breast tissue of a 59-year-old woman. A section in the mediolateral oblique view from a DBT exam of the left breast shows an irregular mass with surrounding architectural distortion (circle). The participant had no history of breast cancer and had been screened previously in the German mammography screening program. Histologic analysis showed invasive carcinoma of no special type, grade 2, with tumor size of 18 mm. Image courtesy of the RSNA.
Volumetric analysis of MR images identifies effects of Parkinson's
MRI volumetric analysis based on a deep-learning segmentation algorithm helps assess intracranial and white-matter volumes in Parkinson's disease patients.
December 6, 2023
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