Abstract:The genetic makeup of ccRCCs affects their imaging features at multidetector CT examinations. Multidetector CT imaging characteristics may help suggest differences at the cytogenetic level among ccRCCs.
“…The degree of IRPUC enhancement was lower than that of the cortex and medulla in the arterial, nephrographic and delayed phases. This may be a distinguishing feature from tumours with a rich blood supply such as clear cell carcinoma, 21 renal medullary carcinoma and renal angioma. Therefore, it may be easy to distinguish between IRPUC and tumours with a rich blood supply by the degree of enhancement.…”
“…The degree of IRPUC enhancement was lower than that of the cortex and medulla in the arterial, nephrographic and delayed phases. This may be a distinguishing feature from tumours with a rich blood supply such as clear cell carcinoma, 21 renal medullary carcinoma and renal angioma. Therefore, it may be easy to distinguish between IRPUC and tumours with a rich blood supply by the degree of enhancement.…”
“…Other tumors may also involve the renal medulla, e.g. parts of clear cell renal cell carcinoma (15)(16)(17), collecting duct carcinoma (18,19), transitional cell carcinoma (20), squamous cell carcinoma (21), papillary renal cell carcinoma, and chromophobe renal cell carcinoma (22). It is difficult to differentiate metanephric adenomas from other tumors if relying only on tumor position.…”
Metanephric adenoma tends to be a solitary, poorly defined margin, isodense or hypodense mass arising from the renal medulla with enhancement less than the cortex and medulla during all phases.
“…A few interesting studies correlated imaging features of RCCs with chromosomal changes. Karlo et al [25], [26] found significant associations between gene mutations and phenotypic characteristics of clear cell RCC by contrast-enhanced MDCT. RCC radiogenomics, however, can only contribute new insights if clear associations between imaging characteristics and molecular aberrations of the tumors are determined.Figure 7Enhancement analysis of renal cell carcinoma.…”
The National Cancer Institute (NCI) Cancer Imaging Program organized two related workshops on June 26–27, 2013, entitled “Correlating Imaging Phenotypes with Genomics Signatures Research” and “Scalable Computational Resources as Required for Imaging-Genomics Decision Support Systems.” The first workshop focused on clinical and scientific requirements, exploring our knowledge of phenotypic characteristics of cancer biological properties to determine whether the field is sufficiently advanced to correlate with imaging phenotypes that underpin genomics and clinical outcomes, and exploring new scientific methods to extract phenotypic features from medical images and relate them to genomics analyses. The second workshop focused on computational methods that explore informatics and computational requirements to extract phenotypic features from medical images and relate them to genomics analyses and improve the accessibility and speed of dissemination of existing NIH resources. These workshops linked clinical and scientific requirements of currently known phenotypic and genotypic cancer biology characteristics with imaging phenotypes that underpin genomics and clinical outcomes. The group generated a set of recommendations to NCI leadership and the research community that encourage and support development of the emerging radiogenomics research field to address short-and longer-term goals in cancer research.
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