It's all change again in healthcare IT sector
Agfa-Gevaert Group, parent company of Agfa HealthCare, announced on December 2...Read more on AuntMinnie.comRelated Reading: What to look for in AI and IT at RSNA 2019 Why EMRs will not replace imaging IT Radiology business intelligence grows in demand 3 reasons why growth in the mammography market will slow 5 trends shaping the future of global ultrasound
Shortened protocol identifies more cancers than ultrasound or mammography.
AbstractPurposeTo compare automated breast volumetric scanning (ABVS) with hand-held bilateral whole breast ultrasound (HHUS) prospectively in regards to patient workflow, woman preference, efficacy in lesion detection, and characterization.Materials and methodsSupplemental screening was performed with both ABVS and HHUS to 345 women with dense breasts and negative mammograms. Acquisition and evaluation times were recorded. Lesions were classified according to BIRADS US criteria and compared one to one. Women were recalled for a secondary HHUS examination if ABVS showed any additional lesions. Findings were compared based ...
Diagnostic mammography is effective on its own for evaluating palpable breast...Read more on AuntMinnie.comRelated Reading: Ultrasound performance mixed in breast cancer survivors Deep-learning algorithm helps assess dense breasts Supplemental dense breast screening practices vary WISDOM breast cancer screening study now open to all Hey, Alexa -- Tell me about breast density
ConclusionAfter a percutaneous biopsy diagnosis of ADH, malignancy can be ruled out in most of the cases, if no suspicious enhancement is present in the biopsy area at DCE-MRI. Breast DCE-MRI may be used to avoid surgery in more than half of the patients with final benign diagnosis.Key Points• Breast DCE-MRI can safely rule out malignancy if no suspicious enhancement is present in the biopsy area after a percutaneous biopsy diagnosis of ADH.• All cases of upgrade to high-grade DCIS and invasive cancers can be identified at breast DCE-MRI after a percutaneous biopsy diagnosis of ADH.• Breast DCE-MRI may be us...
The combination of multiple artificial intelligence (AI) algorithms working...Read more on AuntMinnie.comRelated Reading: Deep-learning algorithm helps assess dense breasts AI helps characterize breast masses on ultrasound AI shows promise for reducing mammography workload Breast AI algorithm could reduce unnecessary surgery by 30%
Ultrasound is often used as a supplement for mammography to detect breast cancer. However, one known limitation is the high false-positive rates associated with breast ultrasound. We investigated the use of coherence-based beamforming (which directly displays spatial coherence) as a supplement to standard ultrasound B-mode images in 25 patients recommended for biopsy (26 masses in total), with the eventual goal of decreasing false-positive rates. Because of the coherent signal present within solid masses, coherence-based beamforming methods allow solid and fluid-filled masses to appear significantly different (p
Barranger E Abstract OBJECTIVES: To evaluate the impact of systematic radiological review by breast specialist radiologist of malignant breast lesion imaging on the therapeutic management of patients. MATERIALS AND METHODS: Data collection was performed for patients with histopathologically proved breast cancer or suspicious breast lesion on imaging realized out of our institution. Patients underwent systematic mammary and axillary ultrasound, imaging review and if necessary complementary mammographic images. We analyzed the number of additional breast biopsies and axillary lymph node fine needle aspiration (...
CONCLUSION: The second-look US after galactography is a powerful diagnostic tool for the detection of lesions in patients with nipple discharge and demonstrates high diagnostic accuracy, sensitivity and negative predictive value. PMID: 32096789 [PubMed - as supplied by publisher]
To explore the value of hand-held ultrasound (HHUS) for diagnosing complex cystic and solid breast lesions, 472 pathologically proven lesions were analyzed. The lesions were divided into four types based on ultrasound features. Positive predictive values (PPVs) for lesion types and risk factor performances were assessed. Furthermore, HHUS and mammography (MAM) performances were compared: 27 lesions missed in MAM were detected in HHUS. Ultrasound feature analysis revealed higher PPVs for type III and IV lesions than for type I and II lesions.
ConclusionsUS may underestimate breast tumor size. Treatment decisions that take into account tumor size can be made equally reliably in patients with high or low breast density.