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Artificial Intelligence Embedded Imaging Modality

The British Institute of Radiology

In the third blog of her series on AI and the radiographer, Shamie Kumar explores the impact on the radiographer when AI is integrated within an imaging modality. The question to explore in this blog is when AI is integrated within an imaging modality itself and how that may impact a radiographer.

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PET/CT: The Fastest Growing Diagnostic Imaging Modality

Associates in Medical Imaging

Today, PET/CT is the fastest growing diagnostic imaging modality, and for good reason. PET/CT scans combine two different types of imaging capabilities in a single procedure using one machine. Unlike other imaging modalities such as MRI and CT, PET/CT scans show metabolic changes at the cellular level in an organ or tissue.

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EVT improves outcomes in stroke patients

AuntMinnie

Endovascular thrombectomy (EVT) may improve outcomes in stroke patients compared to medical management – importantly, even when imaging suggests varying ranges of brain injury, according to a study published February 7 in JAMA. mRS is a scale ranging from 0 to 6, with 0 indicating no symptoms and 6 indicating death.

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Standardized reporting categorizes breast cancer detection methods

AuntMinnie

A standardized detection reporting system can help radiologists accurately categorize how breast cancer is identified -- either through screening or symptomatic presentation -- when performing image-guided breast biopsies, researchers have found. These included the following: symptomatic presentations, imaging modalities, and other.

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RSNA offers clinical trials methodology workshop

AuntMinnie

The RSNA will hold a free, six-day clinical trials methodology workshop in January 2025. Attendees will learn to develop protocols for the clinical evaluation of imaging modalities. Each trainee will be expected to develop a protocol for a clinical study that is ready to include in an application for external funding.

Clinic 52
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Machine learning with echo improves heart tumor diagnosis

AuntMinnie

Localization and characterization of these tumors require advanced imaging. Echocardiography is the primary imaging modality for this area, but its ability to differentiate between tumor types and determine malignancy is limited. F1 score (malignant) 46.51 93.88% 93.88% AUC 0.72 The full study can be found here.

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Deep learning combines breast imaging data to predict cancer prognosis

AuntMinnie

Deep-learning models could have potential as predictive tools for breast cancer prognosis, a study published January 17 in Clinical Breast Cancer has found. They collected imaging data to establish deep-learning models using ResNet50. This means the combined model could predict prognosis after surgery.