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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3847</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.131209</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>The Detection Techniques for Diagnosis of Renal Cell Carcinoma&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>C</surname><given-names>Yashaswini</given-names></name></contrib><contrib contrib-type="author"><name><surname>Sivashankar</surname><given-names>Shilpa</given-names></name></contrib><contrib contrib-type="author"><name><surname>Ashalatha</surname><given-names/></name></contrib></contrib-group><pub-date pub-type="ppub"><day>22</day><month>06</month><year>2021</year></pub-date><volume>2)</volume><issue/><fpage>183</fpage><lpage>192</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: Renal Cell Carcinoma abbreviated as (RCC) occurs inside the kidney tubular coating in the region inside the renal cortex. RCC is one of the riskiest and most aggressive forms of the tumour as its detection, treatment; rate of recurrence is cumbersome and sophisticated. Many detection techniques are available for kidney cell cancer Diagnosis and Staging Carcinoma. Aims: In this review paper, all such available techniques like Magnetic resonance imaging (MRI), Computerized tomography (CT) and others are discussed and the methods followed in each one of them. Methodology: The findings of these are analysed for the prognosis, staging and further treatment of RCC. Results and Conclusion: The new novel methods enclosing the usage of biomarkers present as tumour markers along with body samples are also enclosed which would be more rapid, specific and constitute novel point-of-care biosensors and are also cost-effective.&#13;
</p></abstract><kwd-group><kwd>Renal Cell Carcinoma</kwd><kwd> RCC Detection techniques</kwd><kwd> Kidney Staging</kwd><kwd> Biomarkers</kwd><kwd> Point-of-care device</kwd><kwd> Biosensors</kwd></kwd-group></article-meta></front></article>
