Oncology Imaging

Medical imaging has become integral to cancer care, assessing the stage and location of cancerous tumors. By utilizing powerful imaging modalities including CT, MRI, MRA and PET/CT, oncology imaging radiologists are able to assist referring physicians in the detection and diagnosis of cancer.

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Breast MRI screening cuts cancer mortality rates in half for women with lesser-known gene mutations

Women with ATM, CHEK2 and PALB2 gene mutations would benefit from beginning MRI screenings earlier than previously recommended, experts reported in JAMA Oncology.

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MRI-guided radiotherapy for prostate cancer cuts treatment side effects in half

The team originally planned to enroll 300 men in the study, but the decisive results seen among the first 100 patients prompted them to cut enrollment in half.

Significant uptick of late-stage cancer diagnoses attributed to COVID

Concerningly, the number of patients diagnosed with stage 4 disease increased from 1.9% in 2019 to 6.2% in 2020, experts reported in JAMA Network Open.

breast cancer screening mammography

Combining neural network with breast density measurements boosts interval cancer detection rates

With up to 30% of breast cancers developing in between screenings, there is a great need to improve risk assessments, experts discussed recently in Radiology.

MR-guided thermoseeds can destroy cancerous brain tissue

"Improving the precision of treatment delivery is arguably the greatest unmet need we have in contemporary medicine," experts explained in Advanced Science.

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Machine learning model accurately predicts DCIS upstaging without invasive surgery

Understanding a patient's risk of developing invasive cancer without having to undergo surgery could help patients and providers choose more appropriate treatment plans.

RSNA21: Two-thirds of states did not prioritize vulnerable cancer patients during initial COVID vaccine rollout

Regulators must ensure that vulnerable populations receive their booster shots in a timely fashion.

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While promising, machine learning still misses 20% of cancers on breast MRIs, analysis shows

AI proved useful for detecting axillary lymph node metastases but isn’t yet ready for clinics, experts said recently.