The Value of MRI in Distinguishing Subtypes of Lipomatous Extremity Tumors Needs Reassessment in the Era of MDM2 and CDK4 Testing.
<italic>Introduction</italic>. Extremity lipomas and well-differentiated liposarcomas (WDLs) are difficult to distinguish on MR imaging. We sought to evaluate the accuracy of MRI interpretation using MDM2 amplification, via fluorescence in-situ hybridization (FISH), as the gold standard for patholog...
| Publicado en: | Sarcoma pp. 1 - 8 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
3/19/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128552498&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128552498 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1357714X 57R jtl: Sarcoma issn: 1357714X maglogo: Y pubinfo: dt: 3/19/2018 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 128552498 128552498 128552498 10.1155/2018/1901896 128552498 ppf: 1 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Value of MRI in Distinguishing Subtypes of Lipomatous Extremity Tumors Needs Reassessment in the Era of MDM2 and CDK4 Testing. aug: au: Ryan, Sean Visgauss, Julia Kerr, David Helmkamp, Joshua Said, Nicholas Vinson, Emily O’Donnell, Patrick Li, Xuechan Jung, Sin-Ho Cardona, Diana Eward, William Brigman, Brian affil: Duke University Hospital, 2301 Erwin Rd., Durham, NC 27710, USA sug: subj: Magnetic Resonance Imaging Needs Assessment Validity Protein Kinases Oncogenes Image Interpretation, Computer Assisted Gene Amplification In Situ Hybridization, Fluorescence Lipoma Diagnosis Lipoma Pathology Liposarcoma Diagnosis Human Retrospective Design Reliability Confidence Intervals Interrater Reliability Sensitivity and Specificity ab: <italic>Introduction</italic>. Extremity lipomas and well-differentiated liposarcomas (WDLs) are difficult to distinguish on MR imaging. We sought to evaluate the accuracy of MRI interpretation using MDM2 amplification, via fluorescence in-situ hybridization (FISH), as the gold standard for pathologic diagnosis. Furthermore, we aimed to investigate the utility of a diagnostic formula proposed in the literature. <italic>Methods</italic>. We retrospectively collected 49 patients with lipomas or WDLs utilizing MDM2 for pathologic diagnosis. Four expert readers interpreted each patient’s MRI independently and provided a diagnosis. Additionally, a formula based on imaging characteristics (i.e. tumor depth, diameter, presence of septa, and internal cystic change) was used to predict the pathologic diagnosis. The accuracy and reliability of imaging-based diagnoses were then analyzed in comparison to the MDM2 pathologic diagnoses. <italic>Results</italic>. The accuracy of MRI readers was 73.5% (95% CI 61–86%) with substantial interobserver agreement (κ=0.7022). The formula had an accuracy of 71%, which was not significantly different from the readers (p=0.71). The formula and expert observers had similar sensitivity (83% versus 83%) and specificity (64.5% versus 67.7%; p=0.659) for detecting WDLs. <italic>Conclusion</italic>. The accuracy of both our readers and the formula suggests that MRI remains unreliable for distinguishing between lipoma and WDLs. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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