CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.
Objective: CT texture analysis (CTTA) using filtration-histogram-based parameters has been associated with tumor biologic correlates such as glucose metabolism, hypoxia, and tumor angiogenesis. We investigated the utility of these parameters for differentiation of clear cell from papillary renal can...
| Publicado en: | European Radiology Vol. 29; no. 12; pp. 6922 - 6930 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2019
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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=139479357&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139479357 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2019 vid: 29 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139479357 139479357 NLM31127316 139479357 10.1007/s00330-019-06260-2 NLM31127316 139479357 ppf: 6922 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. aug: au: Deng, Yu Soule, Erik Samuel, Aster Shah, Sakhi Cui, Enming Asare-Sawiri, Michael Sundaram, Chandru Lall, Chandana Sandrasegaran, Kumaresan affil: Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China sug: subj: Carcinoma, Renal Cell Pathology Kidney Neoplasms Pathology Diagnosis, Differential Adult ROC Curve Portal Vein Pathology Tomography, X-Ray Computed Methods Body Weights and Measures Retrospective Design Kidney Neoplasms Aged, 80 and Over Adolescence Aged Middle Age Portal Vein Carcinoma, Renal Cell Neoplasm Grading Young Adult Female Human Cell Transformation, Neoplastic Pathology Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Aged, 80 & over Adolescent: 13-18 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Objective: CT texture analysis (CTTA) using filtration-histogram-based parameters has been associated with tumor biologic correlates such as glucose metabolism, hypoxia, and tumor angiogenesis. We investigated the utility of these parameters for differentiation of clear cell from papillary renal cancers and prediction of Fuhrman grade.Methods: A retrospective study was performed by applying CTTA to pretreatment contrast-enhanced CT scans in 290 patients with 298 histopathologically confirmed renal cell cancers of clear cell and papillary types. The largest cross section of the tumor on portal venous phase axial CT was chosen to draw a region of interest. CTTA comprised of an initial filtration step to extract features of different sizes (fine, medium, coarse spatial scales) followed by texture quantification using histogram analysis.Results: A significant increase in entropy with fine and medium spatial filters was demonstrated in clear cell RCC (p = 0.047 and 0.033, respectively). Area under the ROC curve of entropy at fine and medium spatial filters was 0.804 and 0.841, respectively. An increased entropy value at coarse filter correlated with high Fuhrman grade tumors (p = 0.01). The other texture parameters were not found to be useful.Conclusion: Entropy, which is a quantitative measure of heterogeneity, is increased in clear cell renal cancers. High entropy is also associated with high-grade renal cancers. This parameter may be considered as a supplementary marker when determining aggressiveness of therapy.Key Points: • CT texture analysis is easy to perform on contrast-enhanced CT. • CT texture analysis may help to separate different types of renal cancers. • CT texture analysis may enhance individualized treatment of renal cancers. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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