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MRI Not Quite There for Lymph Node Diagnosis in Breast Cancer
Magnetic resonance imaging’s accuracy in detecting cancer in the lymph nodes of newly diagnosed breast cancer patients is nothing to sniff at – 80 percent with diffusion-weighted MRI and 85 percent with axial T1-weighted MRI, Canadian researchers have reported. But it’s not quite high enough to skip a lymph node dissection, according to a study published online Dec. 5 in the journal Radiology.
Magnetic resonance imaging’s accuracy in detecting cancer in the lymph nodes of newly diagnosed breast cancer patients is nothing to sniff at – 80 percent with diffusion-weighted MRI and 85 percent with axial T1-weighted MRI, Canadian researchers have reported. But it’s not quite high enough to skip a lymph node dissection, according to a study published online Dec. 5 in the journal Radiology.
University of Toronto researchers chose 61 women (average age 53) with invasive breast cancer to undergo preoperative breast MRI. Axial T1-weighted MRI without fat saturation and diffusion-weighted (DW) MR images were analyzed by two experienced radiologists uninformed of the pathology findings.
They found the sensitivity, specificity, and accuracy to be 88 percent, 82 percent, and 85 percent, respectively, for axial T1-weighted MR imaging and 84 percent, 77 percent, and 80 percent for diffusion-weighted (DW) imaging. Apparent diffusion coefficients (ADCs) were significantly lower in the malignant group.
The team concluded that unenhanced MRI techniques showed high accuracy in the preoperative evaluation of patients with invasive breast cancer, and that, while the results indicated reliable and reproducible assessment with DW imaging, “it is unlikely to be useful in clinical practice.”
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
