کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5726193 1609728 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new method to reduce false positive results in breast MRI by evaluation of multiple spectral regions in proton MR-spectroscopy
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
پیش نمایش صفحه اول مقاله
A new method to reduce false positive results in breast MRI by evaluation of multiple spectral regions in proton MR-spectroscopy
چکیده انگلیسی


- Choline showed a moderate performance as single diagnostic criterion for diagnosis of breast cancer.
- The water-to-fat ratio can be used to predict whether malignant lesions are Cho positive or not.
- Assessment of olefinic acids contributes independent diagnostic information.
- Combination of spectroscopic parameters showed a potential to substantially reduce false positive findings in benign breast lesions.

ObjectivesTo investigate whether the evaluation of multiple spectral regions can increase the diagnostic performance of 1H-MRS of the breast and reduce false positive findings.Methods93 patients (mean age 56 years, range 23-79) undergoing breast MRI for routine clinical indications on a 1.5 T scanner were eligible for this IRB-approved prospective study. Suspicious enhancing lesions ≥8 mm underwent single-voxel point-resolved 1H-MRS (PRESS, TR = 2000 ms, TE = 272 ms). Histology showed 69 malignant and 24 benign lesions. The Signal-to-Noise ratio of choline, olefinic acids and the water-to-methylene ratio were measured. The area under the ROC-curve (AUC) was used to evaluate single measurements. Combined diagnostic accuracy was explored using a 10-fold cross-validated Chi-squared automatic interaction detection (CHAID) analysis. Inter-reader agreement was evaluated in a subset of patients.ResultsA significant AUC for differentiation between benign and malignant lesions was identified for choline (0.733, P = 0.001), olefinic acids (0.769, P = 0.0001) and water-to-methylene ratio (0.704, P = 0.003). All three variables were included in a classification algorithm using CHAID methodology. Using this classification, 70.8% (17/24) false positive diagnoses in benign lesions would have been avoided. Inter-reader agreement was almost perfect.ConclusionsThe combined evaluation of multiple spectral regions can increase the diagnostic performance of 1H-MRS and potentially reduce false positive findings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 92, July 2017, Pages 51-57
نویسندگان
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