Angiomyolipoma with minimal fat and non-clear cell renal cell carcinoma: differentiation on MDCT using classification and regression tree analysis-based algorithm.
Background: Differentiation between angiomyolipoma with minimal fat (AMLmf) and non-clear cell renal cell carcinoma (nccRCC) may be difficult owing to lack of macroscopic fat in AMLmf. However, the differential points between AMLmf and nccRCC has not been well established in the literature. Purpose:...
| Publicado en: | Acta Radiologica Vol. 55; no. 10; pp. 1258 - 1270 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2014
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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=103853994&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103853994 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02841851 1XG jtl: Acta Radiologica issn: 02841851 maglogo: Y pubinfo: dt: Dec2014 vid: 55 iid: 10 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 103853994 99431049 NLM24259298 99431049 10.1177/0284185113513887 NLM24259298 103853994 ppf: 1258 ppct: 12 formats: tig: atl: Angiomyolipoma with minimal fat and non-clear cell renal cell carcinoma: differentiation on MDCT using classification and regression tree analysis-based algorithm. aug: au: Woo, Sungmin Cho, Jeong Yeon Kim, Seung Hyup Kim, Sang Youn affil: Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. sug: subj: Neoplasms, Adipose Tissue Radiography Carcinoma, Renal Cell Radiography Kidney Neoplasms Radiography Multidetector Computed Tomography Methods Radiographic Image Interpretation, Computer-Assisted Methods Angiomyolipoma Adipose Tissue Radiography Adult Aged Algorithms Contrast Media Diagnostic Use Diagnosis, Differential Female Human Contrast Media Male Middle Age Observer Bias ROC Curve Radiographic Image Enhancement Methods Retrospective Design Sensitivity and Specificity Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Background: Differentiation between angiomyolipoma with minimal fat (AMLmf) and non-clear cell renal cell carcinoma (nccRCC) may be difficult owing to lack of macroscopic fat in AMLmf. However, the differential points between AMLmf and nccRCC has not been well established in the literature. Purpose: To evaluate quantitative triphasic multidetector computed tomography (MDCT) features that differentiate between small AMLmf and nccRCC, and to integrate them to develop a simple and easy diagnostic algorithm. Material and Methods: This study was approved by the Institutional Review Board; informed consent was waived. Triphasic MDCT images of pathologically-proven AMLmfs (n = 24) and nccRCCs (n = 55) of 79 patients were retrospectively evaluated. Age, sex, size, long-to-short axis ratio (LSR), attenuation and enhancement degree in all phases, unenhanced tumor-kidney attenuation difference (UTKAD) in Hounsfield units (HU) were compared with Chi-square analysis, independent-samples t-test, and receiver-operating characteristic (ROC) curves. A criterion was formulated with classification and regression tree analysis (CART). Thereafter, CART-based algorithm was tested with additional interpretations from two radiologists. Intra- and inter-observer variability was analyzed with Bland-Altman analysis. Results: LSR was greater in AMLmf than nccRCC (P < 0.001). AMLmf showed higher attenuation (all phases), CMP enhancement, and wash-out than nccRCC (P ≤ 0.001). UTKAD was greater in AMLmf than nccRCC (P < 0.001). ROC curve analysis yielded area under the curves of 0.936, 0.888, and 0.853 using UTKAD, unenhanced attenuation, and LSR. CART-based algorithm (UTKAD > 7.5 HU, LSR > 1.23) predicted AMLmf with sensitivity, specificity, PPV, and NPV of 87.5%, 96.4%, 91.3%, and 94.6%. Mean intra- and inter-observer difference was -0.1/0.03 HU and -1.0/0.09 HU for UTKAD/LSR, respectively. These interpretations changed the final diagnosis in 1.3% (1/79) and 5.1% (4/79) patients for radiologists 1 and 2. Conclusion: Triphasic MDCT was useful for differentiating AMLmf and nccRCC. CART-based algorithm using UTKAD > 7.5 and LSR > 1.23 was simple and accurate in predicting AMLmf. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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