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- Mammography
fMRI predicts benign brain tumors that turn malignant
Perfusion-weighted MRI can anticipate the transformation of low-grade gliomas into malignant tumors up to a year earlier than other imaging tests, according to researchers. The technique could help select patients who may benefit from more aggressive treatment.
Perfusion-weighted MRI can anticipate the transformation of low-grade gliomas into malignant tumors up to a year earlier than other imaging tests, according to researchers. The technique could help select patients who may benefit from more aggressive treatment.
Adam Waldman, Ph.D., and colleagues at the Charing Cross Hospital in London prospectively enrolled 13 patients with low-grade gliomas for two years ending in August 2002. Patients underwent perfusion- and contrast-enhanced MRI every six months for up to three years to check for tumor malignancy. Investigators found that increases in blood volume by perfusion MRI suggested malignancy a year or more before it could be observed by contrast MR. They published their findings in the April issue of Radiology.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
MRI-Based AI Model Shows Promise in Predicting Lymph Node Metastasis with Breast Cancer
April 15th 2024For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.
