دورية أكاديمية
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry.
| العنوان: | Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry. |
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| المؤلفون: | Gong Q; US Food and Drug Administration, CDRH/OSEL/DIDSR, Silver Spring, MD, USA., Li Q; US Food and Drug Administration, CDRH/OSEL/DIDSR, Silver Spring, MD, USA., Gavrielides MA; US Food and Drug Administration, CDRH/OSEL/DIDSR, Silver Spring, MD, USA., Petrick N; US Food and Drug Administration, CDRH/OSEL/DIDSR, Silver Spring, MD, USA. |
| المصدر: | Statistical methods in medical research [Stat Methods Med Res] 2020 Sep; Vol. 29 (9), pp. 2749-2763. Date of Electronic Publication: 2020 Mar 05. |
| نوع المنشور: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S. |
| اللغة: | English |
| بيانات الدورية: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: London : SAGE Publications Original Publication: Sevenoaks, Kent, UK : Edward Arnold, c1992- |
| مواضيع طبية MeSH: | Lung Neoplasms*/diagnostic imaging , Solitary Pulmonary Nodule*/diagnostic imaging, Biomarkers ; Humans ; Lung/diagnostic imaging ; Phantoms, Imaging ; Reproducibility of Results ; Tomography, X-Ray Computed |
| مستخلص: | Variance stabilization is an important step in the statistical assessment of quantitative imaging biomarkers. The objective of this study is to compare the Log and the Box-Cox transformations for variance stabilization in the context of assessing the performance of a particular quantitative imaging biomarker, the estimation of lung nodule volume from computed tomography images. First, a model is developed to generate and characterize repeated measurements typically observed in computed tomography lung nodule volume estimation. Given this model, we derive the parameter of the Box-Cox transformation that stabilizes the variance of the measurements across lung nodule volumes. Second, simulated, phantom, and clinical datasets are used to compare the Log and the Box-Cox transformations. Two metrics are used for quantifying the stability of the measurements across the transformed lung nodule volumes: the coefficient of variation for the standard deviation and the repeatability coefficient. The results for simulated, phantom, and clinical datasets show that the Box-Cox transformation generally had better variance stabilization performance compared to the Log transformation for lung nodule volume estimates from computed tomography scans. |
| فهرسة مساهمة: | Keywords: Box–Cox transformation; Log transformation; Variance stabilization; coefficient of variation; lung nodule; quantitative imaging biomarkers; repeatability coefficient |
| المشرفين على المادة: | 0 (Biomarkers) |
| تواريخ الأحداث: | Date Created: 20200306 Date Completed: 20210728 Latest Revision: 20210728 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1177/0962280220908619 |
| PMID: | 32133924 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1477-0334 |
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| DOI: | 10.1177/0962280220908619 |