The permeability of gadolinium and the morphology of breast cancers can reliably predict whether those tumors will benefit from neoadjuvant chemotherapy, according to a study by researchers at Duke University.
The permeability of gadolinium and the morphology of breast cancers can reliably predict whether those tumors will benefit from neoadjuvant chemotherapy, according to a study by researchers at Duke University.
The vascularity of tumors and their reaction to blood-borne contrast predict a likely response to therapy. Tumors that were closely packed with cancer cells did not effectively retain contrast and were resistant to chemotherapy, said Oana Craciunescu, Ph.D., a Duke radiation oncologist, who reported the study results at the San Antonio Breast Cancer Symposium in December.
Tumors in which the blood vessels formed a ring pattern around the center were also resistant to chemotherapy because collapsed blood vessels in the center would not carry the drug there. The best responders were homogeneous tumors in which blood vessels were evenly distributed throughout the tumor.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.