Back to Search Start Over

Data from MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI

Authors :
Keith D. Paulsen
Brian W. Pogue
Jiang Gui
Fang Ren
Ke Wang
Yan Zhao
Hong Yin
Shudong Jiang
Fadi El-Ghussein
Junqing Xu
Michael A. Mastanduno
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Purpose: The purpose of this study was to determine the diagnostically most important molecular biomarkers quantified by magnetic resonance-guided (MR) near-infrared spectral tomography (NIRST) that distinguish malignant breast lesions from benign abnormalities when combined with outcomes from clinical breast MRI.Experimental Design: The study was HIPAA compliant and approved by the Dartmouth Institutional Review Board, the NIH, the United States State Department, and Xijing Hospital. MR-guided NIRST evaluated hemoglobin, water, and lipid content in regions of interest defined by concurrent dynamic contrast-enhanced MRI (DCE-MRI) in the breast. MRI plus NIRST was performed in 44 subjects (median age, 46, age range, 20–81 years), 28 of whom had subsequent malignant pathologic diagnoses, and 16 had benign conditions. A subset of 30 subject examinations yielded optical data that met minimum sensitivity requirements to the suspicious lesion and were included in the analyses of diagnostic performance.Results: In the subset of 30 subject examinations meeting minimum optical data sensitivity criterion, the MR-guided NIRST separated malignant from benign lesions using total hemoglobin (HbT; P < 0.01) and tissue optical index (TOI; P < 0.001). Combined MRI plus TOI data caused one false positive and 1 false negative, and produced the best diagnostic performance, yielding an AUC of 0.95, sensitivity of 95%, specificity of 89%, positive predictive value of 95%, and negative predictive value of 89%, respectively.Conclusions: MRI plus NIRST results correlated well with histopathologic diagnoses and could provide additional information to reduce the number of MRI-directed biopsies. Clin Cancer Res; 21(17); 3906–12. ©2015 AACR.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....6955b76e307b4a7dd8174d4b196a6ae5
Full Text :
https://doi.org/10.1158/1078-0432.c.6523650