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Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation
Renal cell carcinoma (RCC) is by far the most common soft-tissue mass and accounts for 85% of all malignant masses of the kidney. Histopathological subtype has clinical implications in the form of prognosis and response to various newer and adjuvant treatment strategies. The aim of this study was to...
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Published in: | Journal of cancer research and therapeutics 2014-07, Vol.10 (3), p.552-557 |
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description | Renal cell carcinoma (RCC) is by far the most common soft-tissue mass and accounts for 85% of all malignant masses of the kidney. Histopathological subtype has clinical implications in the form of prognosis and response to various newer and adjuvant treatment strategies.
The aim of this study was to evaluate the morphology and enhancement patterns of different subtypes of RCC and correlate them with their histopathological subtypes.
The study group comprised of 20 consecutive patients of RCC. The patients were evaluated with multi-detector-row computed tomography (MDCT) and Doppler ultrasound prior to surgery and findings compared with histopathological subtypes of tumor.
RCC was confirmed on histopathology. Out of 20 patients with RCC, 14 were finally diagnosed as clear cell, 4 chromophobe and 2 as papillary subtypes of RCC. None of clear-cell type showed homogenous enhancement. The mean attenuation in corticomedullary phase (CMP) and nephrographic phase (NP) for clear cell and chromophobe subtype was higher than papillary subtype, i.e. 116.1 ± 27 HU and 91.9 ± 21 HU for clear cell, 103 ± 22.4 HU and 96.2 ± 9.2 HU for chromophobe subtype and 78.5 ± 12.4 HU and 73.3 ± 12.2 HU for papillary subtype respectively. On Doppler US evaluation, non-clear-cell subtypes, which showed heterogenous enhancement on MDCT showed less color flow and peak systolic velocity (PSV). The difference in PSV and Doppler shift frequency values between clear-cell carcinoma and chromophobe subtypes were statistically significant (P = 0.003). |
doi_str_mv | 10.4103/0973-1482.137924 |
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The aim of this study was to evaluate the morphology and enhancement patterns of different subtypes of RCC and correlate them with their histopathological subtypes.
The study group comprised of 20 consecutive patients of RCC. The patients were evaluated with multi-detector-row computed tomography (MDCT) and Doppler ultrasound prior to surgery and findings compared with histopathological subtypes of tumor.
RCC was confirmed on histopathology. Out of 20 patients with RCC, 14 were finally diagnosed as clear cell, 4 chromophobe and 2 as papillary subtypes of RCC. None of clear-cell type showed homogenous enhancement. The mean attenuation in corticomedullary phase (CMP) and nephrographic phase (NP) for clear cell and chromophobe subtype was higher than papillary subtype, i.e. 116.1 ± 27 HU and 91.9 ± 21 HU for clear cell, 103 ± 22.4 HU and 96.2 ± 9.2 HU for chromophobe subtype and 78.5 ± 12.4 HU and 73.3 ± 12.2 HU for papillary subtype respectively. On Doppler US evaluation, non-clear-cell subtypes, which showed heterogenous enhancement on MDCT showed less color flow and peak systolic velocity (PSV). The difference in PSV and Doppler shift frequency values between clear-cell carcinoma and chromophobe subtypes were statistically significant (P = 0.003).</description><identifier>ISSN: 0973-1482</identifier><identifier>EISSN: 1998-4138</identifier><identifier>DOI: 10.4103/0973-1482.137924</identifier><identifier>PMID: 25313738</identifier><language>eng</language><publisher>India: Medknow Publications and Media Pvt. Ltd</publisher><subject>Adult ; Aged ; Blood clots ; Calcinosis ; Carcinoma, Renal cell ; Carcinoma, Renal Cell - diagnosis ; Carcinoma, Renal Cell - pathology ; Care and treatment ; CT imaging ; Diagnosis ; Female ; Histopathology ; Humans ; Kidney Neoplasms - diagnosis ; Kidney Neoplasms - pathology ; Male ; Medical imaging ; Methods ; Middle Aged ; NMR ; Nuclear magnetic resonance ; Prognosis ; Tomography ; Tomography, X-Ray Computed ; Tumor Burden ; Tumors ; Ultrasonic imaging ; Ultrasonography, Doppler ; Veins & arteries</subject><ispartof>Journal of cancer research and therapeutics, 2014-07, Vol.10 (3), p.552-557</ispartof><rights>COPYRIGHT 2014 Medknow Publications and Media Pvt. Ltd.</rights><rights>Copyright Medknow Publications & Media Pvt Ltd Jul-Sep 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-db72a3f21331ef37adb2da4921db86dc580023270d666f95e32627eca6c12ce93</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1620029700?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25313738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sureka, Binit</creatorcontrib><creatorcontrib>Lal, Anupam</creatorcontrib><creatorcontrib>Khandelwal, N</creatorcontrib><creatorcontrib>Joshi, Kusum</creatorcontrib><creatorcontrib>Singh, S K</creatorcontrib><creatorcontrib>Agarwal, Mayank M</creatorcontrib><creatorcontrib>Mittal, Aliza</creatorcontrib><title>Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation</title><title>Journal of cancer research and therapeutics</title><addtitle>J Cancer Res Ther</addtitle><description>Renal cell carcinoma (RCC) is by far the most common soft-tissue mass and accounts for 85% of all malignant masses of the kidney. Histopathological subtype has clinical implications in the form of prognosis and response to various newer and adjuvant treatment strategies.
The aim of this study was to evaluate the morphology and enhancement patterns of different subtypes of RCC and correlate them with their histopathological subtypes.
The study group comprised of 20 consecutive patients of RCC. The patients were evaluated with multi-detector-row computed tomography (MDCT) and Doppler ultrasound prior to surgery and findings compared with histopathological subtypes of tumor.
RCC was confirmed on histopathology. Out of 20 patients with RCC, 14 were finally diagnosed as clear cell, 4 chromophobe and 2 as papillary subtypes of RCC. None of clear-cell type showed homogenous enhancement. The mean attenuation in corticomedullary phase (CMP) and nephrographic phase (NP) for clear cell and chromophobe subtype was higher than papillary subtype, i.e. 116.1 ± 27 HU and 91.9 ± 21 HU for clear cell, 103 ± 22.4 HU and 96.2 ± 9.2 HU for chromophobe subtype and 78.5 ± 12.4 HU and 73.3 ± 12.2 HU for papillary subtype respectively. On Doppler US evaluation, non-clear-cell subtypes, which showed heterogenous enhancement on MDCT showed less color flow and peak systolic velocity (PSV). The difference in PSV and Doppler shift frequency values between clear-cell carcinoma and chromophobe subtypes were statistically significant (P = 0.003).</description><subject>Adult</subject><subject>Aged</subject><subject>Blood clots</subject><subject>Calcinosis</subject><subject>Carcinoma, Renal cell</subject><subject>Carcinoma, Renal Cell - diagnosis</subject><subject>Carcinoma, Renal Cell - pathology</subject><subject>Care and treatment</subject><subject>CT imaging</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Histopathology</subject><subject>Humans</subject><subject>Kidney Neoplasms - diagnosis</subject><subject>Kidney Neoplasms - pathology</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Prognosis</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Tumor Burden</subject><subject>Tumors</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography, Doppler</subject><subject>Veins & arteries</subject><issn>0973-1482</issn><issn>1998-4138</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptks-L1TAQx4so7nP17kkCXrz0mR9tkx6XXV2FBS96Dmky6cvSJjVJkfcX-G-b8nZXlEdgAjOf7yTDfKvqLcH7hmD2Efec1aQRdE8Y72nzrNqRvhd1Q5h4Xu2eyhfVq5TuMW45peJldUFbVgRM7KrfN0evZqeRDvOyZjAohzmMUS2HI1LeoJuwLBNEZJ03zo8JOY-MsxYi-IzSOuTjAgkFi0pCTUjDVIKK2vkwK_TL5QPKB3ARHVzKYVH5EKYwOr2xIUaYVHbBv65eWDUlePNwX1Y_Pn_6fv2lvvt2-_X66q7WDW9ybQZOFbOUMEbAMq7MQI1qekrMIDqjW4ExZZRj03Wd7VtgtKMctOo0oRp6dll9OPVdYvi5Qspydmn7s_IQ1iRJR2gvMBFtQd__h96HNZYZN4qWd3qO8V9qVBNI523IUemtqbxiZSUct4IWqj5DjeAhqil4sK6k_-H3Z_hyDJRlnRXgk0DHkFIEK5foZhWPkmC5eUVuZpCbGeTJK0Xy7mG-dZjBPAkezcH-AASmuYc</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Sureka, Binit</creator><creator>Lal, Anupam</creator><creator>Khandelwal, N</creator><creator>Joshi, Kusum</creator><creator>Singh, S K</creator><creator>Agarwal, Mayank M</creator><creator>Mittal, Aliza</creator><general>Medknow Publications and Media Pvt. 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Singh, S K ; Agarwal, Mayank M ; Mittal, Aliza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-db72a3f21331ef37adb2da4921db86dc580023270d666f95e32627eca6c12ce93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Blood clots</topic><topic>Calcinosis</topic><topic>Carcinoma, Renal cell</topic><topic>Carcinoma, Renal Cell - diagnosis</topic><topic>Carcinoma, Renal Cell - pathology</topic><topic>Care and treatment</topic><topic>CT imaging</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Histopathology</topic><topic>Humans</topic><topic>Kidney Neoplasms - diagnosis</topic><topic>Kidney Neoplasms - pathology</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Prognosis</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Tumor Burden</topic><topic>Tumors</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography, Doppler</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sureka, Binit</creatorcontrib><creatorcontrib>Lal, Anupam</creatorcontrib><creatorcontrib>Khandelwal, N</creatorcontrib><creatorcontrib>Joshi, Kusum</creatorcontrib><creatorcontrib>Singh, S K</creatorcontrib><creatorcontrib>Agarwal, Mayank M</creatorcontrib><creatorcontrib>Mittal, Aliza</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cancer research and therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sureka, Binit</au><au>Lal, Anupam</au><au>Khandelwal, N</au><au>Joshi, Kusum</au><au>Singh, S K</au><au>Agarwal, Mayank M</au><au>Mittal, Aliza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation</atitle><jtitle>Journal of cancer research and therapeutics</jtitle><addtitle>J Cancer Res Ther</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>10</volume><issue>3</issue><spage>552</spage><epage>557</epage><pages>552-557</pages><issn>0973-1482</issn><eissn>1998-4138</eissn><abstract>Renal cell carcinoma (RCC) is by far the most common soft-tissue mass and accounts for 85% of all malignant masses of the kidney. Histopathological subtype has clinical implications in the form of prognosis and response to various newer and adjuvant treatment strategies.
The aim of this study was to evaluate the morphology and enhancement patterns of different subtypes of RCC and correlate them with their histopathological subtypes.
The study group comprised of 20 consecutive patients of RCC. The patients were evaluated with multi-detector-row computed tomography (MDCT) and Doppler ultrasound prior to surgery and findings compared with histopathological subtypes of tumor.
RCC was confirmed on histopathology. Out of 20 patients with RCC, 14 were finally diagnosed as clear cell, 4 chromophobe and 2 as papillary subtypes of RCC. None of clear-cell type showed homogenous enhancement. The mean attenuation in corticomedullary phase (CMP) and nephrographic phase (NP) for clear cell and chromophobe subtype was higher than papillary subtype, i.e. 116.1 ± 27 HU and 91.9 ± 21 HU for clear cell, 103 ± 22.4 HU and 96.2 ± 9.2 HU for chromophobe subtype and 78.5 ± 12.4 HU and 73.3 ± 12.2 HU for papillary subtype respectively. On Doppler US evaluation, non-clear-cell subtypes, which showed heterogenous enhancement on MDCT showed less color flow and peak systolic velocity (PSV). The difference in PSV and Doppler shift frequency values between clear-cell carcinoma and chromophobe subtypes were statistically significant (P = 0.003).</abstract><cop>India</cop><pub>Medknow Publications and Media Pvt. Ltd</pub><pmid>25313738</pmid><doi>10.4103/0973-1482.137924</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Blood clots Calcinosis Carcinoma, Renal cell Carcinoma, Renal Cell - diagnosis Carcinoma, Renal Cell - pathology Care and treatment CT imaging Diagnosis Female Histopathology Humans Kidney Neoplasms - diagnosis Kidney Neoplasms - pathology Male Medical imaging Methods Middle Aged NMR Nuclear magnetic resonance Prognosis Tomography Tomography, X-Ray Computed Tumor Burden Tumors Ultrasonic imaging Ultrasonography, Doppler Veins & arteries |
title | Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation |
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