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MRI May Help Predict Endometrial Cancer Prognosis
MRI may help physicians determine prognosis of patients with endometrial cancer, from RSNA 2016.
MRI may be useful as a prognostic indicator in patients with endometrial cancer (EC), evaluating recurrence-free survival, according to a study presented at RSNA 2016.
Researchers from Texas performed a retrospective study to evaluate MRI characteristics of EC and correlate with pathology, genomic features, and recurrence-free survival. Three radiologists evaluated images from 71 patients with biopsy-proven EC. They recorded the depth of myometrial invasion (DMI) as less than 50% and equal to or more than 50%. Qualitative signal intensity (SI) was recorded as greater than myometrium, equal to myometrium, and less than myometrium on sagittal T2WI and DCE sequences, graded 1-3. Regions of interest (ROI) were drawn on tumor on sagittal T2WI and DCE sequences at 30 seconds (early) and 90 seconds (delayed). Chart review identified the presence of microsatellite instability (MSI) (genomic marker) and grade/sub-type of EC.
Twelve patients were lost to follow-up, and recurrence-free survival analysis was performed on 59 patients. The results showed a statistically significant correlation between lower delayed DCE SI and the presence of MSI. The three readers showed substantial agreement (0.62) based on Kappa analysis for qualitative tumor SI on DCE images. Tumors with SI greater than myometrium on T2WI showed higher DMI.
The patients with delayed DCE SI ROI of greater than 209, had better recurrence-free survival and patients with MSI-stable disease and increased delayed DCE SI had better recurrence-free survival. No correlation between MRI SI and tumor sub-type or grade was found.
The researchers concluded that patients with MSI-stable EC showing high SI on delayed DCE had better recurrence-free survival. Tumors with high T2WI SI demonstrated aggressive features on pathology.
New Literature Review Assesses Merits of Cardiac MRI After Survival of Sudden Cardiac Arrest
April 19th 2024While noting inconsistencies with the diagnostic yield of cardiac MRI in patients who survived sudden cardiac arrest, researchers cited unique advantages in characterizing ischemic cardiomyopathy (ICM) and facilitating alternate diagnoses.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) 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.
