Multiparametric evaluation of breast lesions using PET-MRI: Initial results and future perspectives
Medicine (United States), ISSN: 1536-5964, Vol: 93, Issue: 22, Page: e115
2014
- 20Citations
- 45Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations20
- Citation Indexes20
- 20
- CrossRef13
- Captures45
- Readers45
- 40
Article Description
The purpose of this study was to evaluate the diagnostic accuracy of multiparametric evaluation of breast lesions combining information of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), diffusion-weighted imaging (DWI), and Ffluoro-deoxi-glucose (F-FDG) positron emission tomography/computed tomography (PET-CT). After approval of the institutional research ethics committee, 31 patients with suspicious breast lesions on MRI performed F-FDG PET-CT with a specific protocol for breast evaluation. Patients' mean age was 47.8 years (range, 29-77 years). Positron emission tomography and magnetic resonance imaging (PET-MRI) images were fused. A lesion was considered positive on multiparametric evaluation if at least 1 of the following was present: washout/type 3 kinetic curve on DCEMRI, restricted diffusion on DWI with minimum apparent diffusion coefficient value <1.00 × 10mm/s, and abnormal metabolism on F-FDG PET-CT (higher than the physiologic uptake of the normal breast parenchyma). Thirty-eight lesions with histologic correlation were evaluated on the 31 included patients, being 3 mass lesions (84.2%), and 6 nonmass lesions (15.8%). Lesions' mean diameter was 31.1mm (range, 8-94mm). Multiparametric evaluation provided 100% sensitivity, 55.5% specificity, 87.9% positive predictive value, 100% negative predictive value, and 89.5% accuracy, with 29 true-positives results, 5 true-negatives, false-positives, and no false-negative results. Multiparametric evaluation with PET-MRI functional data showed good diagnostic accuracy to differentiate benign from malignant breast lesions, reducing the number of unnecessary biopsies, without missing any diagnosis of cancer in our case series.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84916633150&origin=inward; http://dx.doi.org/10.1097/md.0000000000000115; http://www.ncbi.nlm.nih.gov/pubmed/25396329; http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00005792-201411020-00005; https://journals.lww.com/00005792-201411020-00005; http://dx.doi.org/10.1097/MD.0000000000000115; https://dx.doi.org/10.1097/MD.0000000000000115; https://journals.lww.com/md-journal/Fulltext/2014/11020/Multiparametric_Evaluation_of_Breast_Lesions_Using.5.aspx
Ovid Technologies (Wolters Kluwer Health)
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