A simple scoring system for breast MRI interpretation: does it compensate for reader experience?
Purpose: To investigate the impact of a scoring system (Tree) on inter-reader agreement and diagnostic performance in breast MRI reading.Materials and Methods: This IRB-approved, single-centre study included 100 patients with 121 consecutive histopathologically verified lesions (52 malignant, 68 ben...
| Publicado en: | European Radiology Vol. 26; no. 8; pp. 2529 - 2538 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2016
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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=116510175&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116510175 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2016 vid: 26 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 116510175 116510175 NLM26511631 116510175 10.1007/s00330-015-4075-7 NLM26511631 116510175 ppf: 2529 ppct: 9 formats: fmt: @attributes: type: P tig: atl: A simple scoring system for breast MRI interpretation: does it compensate for reader experience? aug: au: Marino, Maria Clauser, Paola Woitek, Ramona Wengert, Georg Kapetas, Panagiotis Bernathova, Maria Pinker-Domenig, Katja Helbich, Thomas Preidler, Klaus Baltzer, Pascal Marino, Maria Adele Wengert, Georg J Helbich, Thomas H Baltzer, Pascal A T affil: Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna General Hospital, Floor 7F Waehringer Guertel 18-20 1090 Vienna Austria sug: subj: Magnetic Resonance Imaging Methods Breast Breast Neoplasms Diagnosis Retrospective Design Aged, 80 and Over Adult Probability Middle Age Aged ROC Curve Female Barthel Index Human Aged, 80 & over Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female ab: Purpose: To investigate the impact of a scoring system (Tree) on inter-reader agreement and diagnostic performance in breast MRI reading.Materials and Methods: This IRB-approved, single-centre study included 100 patients with 121 consecutive histopathologically verified lesions (52 malignant, 68 benign). Four breast radiologists with different levels of MRI experience and blinded to histopathology retrospectively evaluated all examinations. Readers independently applied two methods to classify breast lesions: BI-RADS and Tree. BI-RADS provides a reporting lexicon that is empirically translated into likelihoods of malignancy; Tree is a scoring system that results in a diagnostic category. Readings were compared by ROC analysis and kappa statistics.Results: Inter-reader agreement was substantial to almost perfect (kappa: 0.643-0.896) for Tree and moderate (kappa: 0.455-0.657) for BI-RADS. Diagnostic performance using Tree (AUC: 0.889-0.943) was similar to BI-RADS (AUC: 0.872-0.953). Less experienced radiologists achieved AUC: improvements up to 4.7 % using Tree (P-values: 0.042-0.698); an expert's performance did not change (P = 0.526). The least experienced reader improved in specificity using Tree (16 %, P = 0.001). No further sensitivity and specificity differences were found (P > 0.1).Conclusion: The Tree scoring system improves inter-reader agreement and achieves a diagnostic performance similar to that of BI-RADS. Less experienced radiologists, in particular, benefit from Tree.Key Points: • The Tree scoring system shows high diagnostic accuracy in mass and non-mass lesions. • The Tree scoring system reduces inter-reader variability related to reader experience. • The Tree scoring system improves diagnostic accuracy in non-expert readers. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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