Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study.
Objectives: To explore the diagnostic value of MRI-based 3D texture analysis to identify texture features that can be used for discrimination of low-grade chondrosarcoma from enchondroma.Methods: Eleven patients with low-grade chondrosarcoma and 11 patients with enchondroma were retrospectively eval...
| Publicado en: | European Radiology Vol. 28; no. 2; pp. 468 - 478 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2018
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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=126970445&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126970445 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Feb2018 vid: 28 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 126970445 126970445 144154231 NLM28884356 10.1007/s00330-017-5014-6 NLM28884356 126970445 ppf: 468 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study. aug: au: Lisson, Catharina S. Lisson, Christoph G. Flosdorf, Kerstin Mayer-Steinacker, Regine Schultheiss, Markus von Baer, Alexandra Barth, Thomas F. E. Beer, Ambros J. Baumhauer, Matthias Meier, Reinhard Beer, Meinrad Schmidt, Stefan A. affil: Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, D-89081, Ulm, Germany sug: subj: Magnetic Resonance Imaging Methods Imaging, Three-Dimensional Methods Bone Neoplasms Diagnosis Chondrosarcoma Diagnosis Chondroma Diagnosis Tomography, Emission-Computed, Single-Photon Methods Neoplasm Staging Aged, 80 and Over Adult Female Pilot Studies Male Retrospective Design ROC Curve Aged Middle Age Aged, 80 & over Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Objectives: To explore the diagnostic value of MRI-based 3D texture analysis to identify texture features that can be used for discrimination of low-grade chondrosarcoma from enchondroma.Methods: Eleven patients with low-grade chondrosarcoma and 11 patients with enchondroma were retrospectively evaluated. Texture analysis was performed using mint Lesion: Kurtosis, entropy, skewness, mean of positive pixels (MPP) and uniformity of positive pixel distribution (UPP) were obtained in four MRI sequences and correlated with histopathology. The Mann-Whitney U-test and receiver operating characteristic (ROC) analysis were performed to identify most discriminative texture features. Sensitivity, specificity, accuracy and optimal cut-off values were calculated.Results: Significant differences were found in four of 20 texture parameters with regard to the different MRI sequences (p<0.01). The area under the ROC curve values to discriminate chondrosarcoma from enchondroma were 0.876 and 0.826 for kurtosis and skewness in contrast-enhanced T1 (ceT1w), respectively; in non-contrast T1, values were 0.851 and 0.822 for entropy and UPP, respectively. The highest discriminatory power had kurtosis in ceT1w with a cut-off ≥3.15 to identify low-grade chondrosarcoma (82 % sensitivity, 91 % specificity, accuracy 86 %).Conclusion: MRI-based 3D texture analysis might be able to discriminate low-grade chondrosarcoma from enchondroma by a variety of texture parameters.Key Points: • MRI texture analysis may assist in differentiating low-grade chondrosarcoma from enchondroma. • Kurtosis in the contrast-enhanced T1w has the highest power of discrimination. • Tools provide insight into tumour characterisation as a non-invasive imaging biomarker. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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