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AMA adds code to allow for reimbursement of opto-acoustic imaging modality

Health Imaging

The new imaging modality was pioneered by Seno Medical for diagnosing breast cancer.

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POCUS useful for diagnosis of retained conception tissue

AuntMinnie

Point-of-care ultrasound (POCUS) can be a useful tool for diagnosing "retained products of conception" in women, suggest findings published January 13 in the American Journal of Emergency Medicine. Once diagnosed, women are treated via dilation and curettage, the drug misoprostol, or ongoing follow-up. and specificity would be 90.4%.

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Road to RSNA 2024: Women's Imaging Preview

AuntMinnie

Women’s imaging at this year’s RSNA reflects momentous changes in trends regarding personalized, targeted healthcare in 2024 for women’s health. Research efforts toward supplemental breast imaging have ramped up in recent years and in Chicago, attendees can see results from these imaging modalities being put to the test.

Imaging 279
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Standardized reporting categorizes breast cancer detection methods

AuntMinnie

healthcare system currently does not have a registry requirement to report the method of detection for newly diagnosed breast cancers, which limits efforts to determine how breast cancers are discovered. These included the following: symptomatic presentations, imaging modalities, and other. Together, these accounted for 85.3%

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CT best for diagnosing suspected wooden foreign objects in the eye

AuntMinnie

CT imaging is best for diagnosing suspected intraorbital wooden foreign bodies, although MR imaging does offer valuable supplementary information, according to a study published February 20 in Clinical Radiology.

Diagnose 130
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Dual-tracer PET/CT shows promise in liver cancer patients

AuntMinnie

Currently, CT and MRI are the imaging modalities of choice for assessing diagnosed patients, yet have been shown to miss small lesions or metastatic deposits, the authors explained. According to the findings, dual-tracer PET/CT had an accuracy of 95% for diagnosing HCC in indeterminate lesions on CT or MRI images.

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Machine learning with echo improves heart tumor diagnosis

AuntMinnie

A team led by Seyed-Ali Sadegh-Zadeh, PhD, from Staffordshire University in England found that its machine-learning model achieved high performance in diagnosing heart tumors, including a near-perfect area under the curve (AUC) score. Localization and characterization of these tumors require advanced imaging. F1 score (malignant) 46.51