CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade

Yu Deng, Erik Soule, Aster Samuel, Sakhi Shah, Enming Cui, Michael Asare-Sawiri, Chandru Sundaram, Chandana Lall, Kumar Sandrasegaran

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
JournalEuropean Radiology
DOIs
StatePublished - Jan 1 2019

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Entropy
Renal Cell Carcinoma
Kidney Neoplasms
Neoplasms
ROC Curve
Area Under Curve
Retrospective Studies
Glucose
Therapeutics

Keywords

  • Clear cell renal cell carcinoma
  • Cone-beam computerized tomography
  • Image interpretation, computer-assisted
  • Neoplasm grading
  • Papillary renal cell carcinoma

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. / Deng, Yu; Soule, Erik; Samuel, Aster; Shah, Sakhi; Cui, Enming; Asare-Sawiri, Michael; Sundaram, Chandru; Lall, Chandana; Sandrasegaran, Kumar.

In: European Radiology, 01.01.2019.

Research output: Contribution to journalArticle

Deng, Yu ; Soule, Erik ; Samuel, Aster ; Shah, Sakhi ; Cui, Enming ; Asare-Sawiri, Michael ; Sundaram, Chandru ; Lall, Chandana ; Sandrasegaran, Kumar. / CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. In: European Radiology. 2019.
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abstract = "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.",
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AU - Deng, Yu

AU - Soule, Erik

AU - Samuel, Aster

AU - Shah, Sakhi

AU - Cui, Enming

AU - Asare-Sawiri, Michael

AU - Sundaram, Chandru

AU - Lall, Chandana

AU - Sandrasegaran, Kumar

PY - 2019/1/1

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N2 - 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.

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.

KW - Clear cell renal cell carcinoma

KW - Cone-beam computerized tomography

KW - Image interpretation, computer-assisted

KW - Neoplasm grading

KW - Papillary renal cell carcinoma

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