Trends in the utilization of imaging for upper tract urothelial carcinoma
Abstract Objectives To evaluate the changes in use of the different imaging modalities for diagnosing upper tract urothelial carcinoma (UTUC) and assess how these changes have affected tumor stage at the time of surgery. Materials and methods We assessed the Surveillance, Epidemiology, and End Resul...
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creator | Mohapatra, Anand, B.S Vemana, Goutham, M.D Bhayani, Sam, M.D Baty, Jack, B.A Vetter, Joel, M.S Strope, Seth A., M.D., M.P.H |
description | Abstract Objectives To evaluate the changes in use of the different imaging modalities for diagnosing upper tract urothelial carcinoma (UTUC) and assess how these changes have affected tumor stage at the time of surgery. Materials and methods We assessed the Surveillance, Epidemiology, and End Results (SEER) cancer registry and linked Medicare claims data (1992–2009) for 5377 patients who underwent surgery for UTUC. We utilized International Classification of Disease—Oncology 3 codes to identify UTUC. International Classification of Disease, ninth Revision, Clinical Modification and Current Procedure Terminology codes identified surgical treatment and imaging modalities. We assessed for use of intravenous pyelography, retrograde pyelography (RGP), computed tomography urography (CTU), magnetic resonance urography (MRU), and endoscopy. For each modality, patients were categorized as having received the modality at least once or not at all. Patient characteristics were compared using chi-squared tests. Usage of imaging modalities and tumor stage was trended using Cochran-Armitage tests. We stratified our data into 2 multivariate logistic regression models to determine the effect of imaging modalities on tumor stage: 1992 to 1999 with all modalities except MRU, and 2000 to 2009 with all modalities. Results Our patient population was predominantly White males of more than 70 years old. Intravenous pyelography and RGP declined in use (62% and 72% in 1992 vs. 6% and 58% in 2009, respectively) while computed tomography urography, MRU, and endoscopy increased in use (2%, 0%, and 37% in 1992 vs. 44%, 6%, and 66% in 2009, respectively). In both regression analyses, endoscopy was associated with lower-stage tumors. In the 2000 to 2009 model, RGP was associated with lower-stage tumors, and MRU was associated with higher-stage tumors. Finally, our data showed an increasing number of modalities utilized for each patient (1% receiving 4 modalities in 1992 vs. 20% in 2009). Conclusions We found trends toward the utilization of newer imaging modalities to diagnose UTUC and more modalities per patient. Endoscopy and RGP were associated with smaller tumors, whereas MRU was associated with larger tumors. Further studies are needed to evaluate the utility of the different modalities in diagnosing UTUC. |
doi_str_mv | 10.1016/j.urolonc.2015.12.002 |
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Materials and methods We assessed the Surveillance, Epidemiology, and End Results (SEER) cancer registry and linked Medicare claims data (1992–2009) for 5377 patients who underwent surgery for UTUC. We utilized International Classification of Disease—Oncology 3 codes to identify UTUC. International Classification of Disease, ninth Revision, Clinical Modification and Current Procedure Terminology codes identified surgical treatment and imaging modalities. We assessed for use of intravenous pyelography, retrograde pyelography (RGP), computed tomography urography (CTU), magnetic resonance urography (MRU), and endoscopy. For each modality, patients were categorized as having received the modality at least once or not at all. Patient characteristics were compared using chi-squared tests. Usage of imaging modalities and tumor stage was trended using Cochran-Armitage tests. We stratified our data into 2 multivariate logistic regression models to determine the effect of imaging modalities on tumor stage: 1992 to 1999 with all modalities except MRU, and 2000 to 2009 with all modalities. Results Our patient population was predominantly White males of more than 70 years old. Intravenous pyelography and RGP declined in use (62% and 72% in 1992 vs. 6% and 58% in 2009, respectively) while computed tomography urography, MRU, and endoscopy increased in use (2%, 0%, and 37% in 1992 vs. 44%, 6%, and 66% in 2009, respectively). In both regression analyses, endoscopy was associated with lower-stage tumors. In the 2000 to 2009 model, RGP was associated with lower-stage tumors, and MRU was associated with higher-stage tumors. Finally, our data showed an increasing number of modalities utilized for each patient (1% receiving 4 modalities in 1992 vs. 20% in 2009). Conclusions We found trends toward the utilization of newer imaging modalities to diagnose UTUC and more modalities per patient. Endoscopy and RGP were associated with smaller tumors, whereas MRU was associated with larger tumors. Further studies are needed to evaluate the utility of the different modalities in diagnosing UTUC.</description><identifier>ISSN: 1078-1439</identifier><identifier>EISSN: 1873-2496</identifier><identifier>DOI: 10.1016/j.urolonc.2015.12.002</identifier><identifier>PMID: 26803434</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Aged, 80 and over ; Carcinoma, Transitional Cell - diagnostic imaging ; Chi-Square Distribution ; Diagnosis ; Endoscopy ; Endoscopy - trends ; Endoscopy - utilization ; Female ; Humans ; Imaging ; Logistic Models ; Magnetic Resonance Imaging - trends ; Magnetic Resonance Imaging - utilization ; Male ; Medicare - statistics & numerical data ; Multimodal Imaging - trends ; Multimodal Imaging - utilization ; Multivariate Analysis ; SEER Program - statistics & numerical data ; Surgery ; Tomography, X-Ray Computed - trends ; Tomography, X-Ray Computed - utilization ; United States ; Upper Tract Urothelial Cancer ; Urinary Tract - diagnostic imaging ; Urinary Tract - pathology ; Urography - trends ; Urography - utilization ; Urologic Neoplasms - diagnostic imaging ; Urology</subject><ispartof>Urologic oncology, 2016-05, Vol.34 (5), p.236.e23-236.e28</ispartof><rights>Elsevier Inc.</rights><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c522t-816fde0c786d729a4f4d23ba4cdd26b9981023fe5de26e56506adaf86d1b468d3</citedby><cites>FETCH-LOGICAL-c522t-816fde0c786d729a4f4d23ba4cdd26b9981023fe5de26e56506adaf86d1b468d3</cites><orcidid>0000-0003-4488-6918</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1078143915005803$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26803434$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mohapatra, Anand, B.S</creatorcontrib><creatorcontrib>Vemana, Goutham, M.D</creatorcontrib><creatorcontrib>Bhayani, Sam, M.D</creatorcontrib><creatorcontrib>Baty, Jack, B.A</creatorcontrib><creatorcontrib>Vetter, Joel, M.S</creatorcontrib><creatorcontrib>Strope, Seth A., M.D., M.P.H</creatorcontrib><title>Trends in the utilization of imaging for upper tract urothelial carcinoma</title><title>Urologic oncology</title><addtitle>Urol Oncol</addtitle><description>Abstract Objectives To evaluate the changes in use of the different imaging modalities for diagnosing upper tract urothelial carcinoma (UTUC) and assess how these changes have affected tumor stage at the time of surgery. Materials and methods We assessed the Surveillance, Epidemiology, and End Results (SEER) cancer registry and linked Medicare claims data (1992–2009) for 5377 patients who underwent surgery for UTUC. We utilized International Classification of Disease—Oncology 3 codes to identify UTUC. International Classification of Disease, ninth Revision, Clinical Modification and Current Procedure Terminology codes identified surgical treatment and imaging modalities. We assessed for use of intravenous pyelography, retrograde pyelography (RGP), computed tomography urography (CTU), magnetic resonance urography (MRU), and endoscopy. For each modality, patients were categorized as having received the modality at least once or not at all. Patient characteristics were compared using chi-squared tests. Usage of imaging modalities and tumor stage was trended using Cochran-Armitage tests. We stratified our data into 2 multivariate logistic regression models to determine the effect of imaging modalities on tumor stage: 1992 to 1999 with all modalities except MRU, and 2000 to 2009 with all modalities. Results Our patient population was predominantly White males of more than 70 years old. Intravenous pyelography and RGP declined in use (62% and 72% in 1992 vs. 6% and 58% in 2009, respectively) while computed tomography urography, MRU, and endoscopy increased in use (2%, 0%, and 37% in 1992 vs. 44%, 6%, and 66% in 2009, respectively). In both regression analyses, endoscopy was associated with lower-stage tumors. In the 2000 to 2009 model, RGP was associated with lower-stage tumors, and MRU was associated with higher-stage tumors. Finally, our data showed an increasing number of modalities utilized for each patient (1% receiving 4 modalities in 1992 vs. 20% in 2009). Conclusions We found trends toward the utilization of newer imaging modalities to diagnose UTUC and more modalities per patient. Endoscopy and RGP were associated with smaller tumors, whereas MRU was associated with larger tumors. Further studies are needed to evaluate the utility of the different modalities in diagnosing UTUC.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Carcinoma, Transitional Cell - diagnostic imaging</subject><subject>Chi-Square Distribution</subject><subject>Diagnosis</subject><subject>Endoscopy</subject><subject>Endoscopy - trends</subject><subject>Endoscopy - utilization</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Logistic Models</subject><subject>Magnetic Resonance Imaging - trends</subject><subject>Magnetic Resonance Imaging - utilization</subject><subject>Male</subject><subject>Medicare - statistics & numerical data</subject><subject>Multimodal Imaging - trends</subject><subject>Multimodal Imaging - utilization</subject><subject>Multivariate Analysis</subject><subject>SEER Program - statistics & numerical data</subject><subject>Surgery</subject><subject>Tomography, X-Ray Computed - trends</subject><subject>Tomography, X-Ray Computed - utilization</subject><subject>United States</subject><subject>Upper Tract Urothelial Cancer</subject><subject>Urinary Tract - diagnostic imaging</subject><subject>Urinary Tract - pathology</subject><subject>Urography - trends</subject><subject>Urography - utilization</subject><subject>Urologic Neoplasms - diagnostic imaging</subject><subject>Urology</subject><issn>1078-1439</issn><issn>1873-2496</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUs9vFCEUnhiNrdU_QcPRy4w8YBjmUmMatU2aeLCeCQtvtqwsrDDTpP3rZbNrU7144iV8v_K-1zRvgXZAQX7YdEtOIUXbMQp9B6yjlD1rTkENvGVilM_rTAfVguDjSfOqlA2lIBTAy-aESUW54OK0ubrJGF0hPpL5Fsky--AfzOxTJGkifmvWPq7JlDJZdjvMZM7GzqRaV3TwJhBrsvUxbc3r5sVkQsE3x_es-fHl883FZXv97evVxafr1vaMza0COTmkdlDSDWw0YhKO8ZUR1jkmV-OogDI-Ye-QSexlT6VxZqpoWAmpHD9rzg-6u2W1RWcx1kxB73INm-91Ml7__RP9rV6nOy0UF0xCFXh_FMjp14Jl1ltfLIZgIqalaBgUY8C5GCu0P0BtTqVknB5tgOp9DXqjjzXofQ0amK41VN67pxkfWX_2XgEfDwCsm7rzmHWxHqNF5zPaWbvk_2tx_o-CDT56a8JPvMeySUuOtQYNulSC_r6_hf0pQE9pX1Pw3-ElsrU</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Mohapatra, Anand, B.S</creator><creator>Vemana, Goutham, M.D</creator><creator>Bhayani, Sam, M.D</creator><creator>Baty, Jack, B.A</creator><creator>Vetter, Joel, M.S</creator><creator>Strope, Seth A., M.D., M.P.H</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4488-6918</orcidid></search><sort><creationdate>20160501</creationdate><title>Trends in the utilization of imaging for upper tract urothelial carcinoma</title><author>Mohapatra, Anand, B.S ; Vemana, Goutham, M.D ; Bhayani, Sam, M.D ; Baty, Jack, B.A ; Vetter, Joel, M.S ; Strope, Seth A., M.D., M.P.H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c522t-816fde0c786d729a4f4d23ba4cdd26b9981023fe5de26e56506adaf86d1b468d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Carcinoma, Transitional Cell - diagnostic imaging</topic><topic>Chi-Square Distribution</topic><topic>Diagnosis</topic><topic>Endoscopy</topic><topic>Endoscopy - trends</topic><topic>Endoscopy - utilization</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Logistic Models</topic><topic>Magnetic Resonance Imaging - trends</topic><topic>Magnetic Resonance Imaging - utilization</topic><topic>Male</topic><topic>Medicare - statistics & numerical data</topic><topic>Multimodal Imaging - trends</topic><topic>Multimodal Imaging - utilization</topic><topic>Multivariate Analysis</topic><topic>SEER Program - statistics & numerical data</topic><topic>Surgery</topic><topic>Tomography, X-Ray Computed - trends</topic><topic>Tomography, X-Ray Computed - utilization</topic><topic>United States</topic><topic>Upper Tract Urothelial Cancer</topic><topic>Urinary Tract - diagnostic imaging</topic><topic>Urinary Tract - pathology</topic><topic>Urography - trends</topic><topic>Urography - utilization</topic><topic>Urologic Neoplasms - diagnostic imaging</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohapatra, Anand, B.S</creatorcontrib><creatorcontrib>Vemana, Goutham, M.D</creatorcontrib><creatorcontrib>Bhayani, Sam, M.D</creatorcontrib><creatorcontrib>Baty, Jack, B.A</creatorcontrib><creatorcontrib>Vetter, Joel, M.S</creatorcontrib><creatorcontrib>Strope, Seth A., M.D., M.P.H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Urologic oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohapatra, Anand, B.S</au><au>Vemana, Goutham, M.D</au><au>Bhayani, Sam, M.D</au><au>Baty, Jack, B.A</au><au>Vetter, Joel, M.S</au><au>Strope, Seth A., M.D., M.P.H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trends in the utilization of imaging for upper tract urothelial carcinoma</atitle><jtitle>Urologic oncology</jtitle><addtitle>Urol Oncol</addtitle><date>2016-05-01</date><risdate>2016</risdate><volume>34</volume><issue>5</issue><spage>236.e23</spage><epage>236.e28</epage><pages>236.e23-236.e28</pages><issn>1078-1439</issn><eissn>1873-2496</eissn><abstract>Abstract Objectives To evaluate the changes in use of the different imaging modalities for diagnosing upper tract urothelial carcinoma (UTUC) and assess how these changes have affected tumor stage at the time of surgery. Materials and methods We assessed the Surveillance, Epidemiology, and End Results (SEER) cancer registry and linked Medicare claims data (1992–2009) for 5377 patients who underwent surgery for UTUC. We utilized International Classification of Disease—Oncology 3 codes to identify UTUC. International Classification of Disease, ninth Revision, Clinical Modification and Current Procedure Terminology codes identified surgical treatment and imaging modalities. We assessed for use of intravenous pyelography, retrograde pyelography (RGP), computed tomography urography (CTU), magnetic resonance urography (MRU), and endoscopy. For each modality, patients were categorized as having received the modality at least once or not at all. Patient characteristics were compared using chi-squared tests. Usage of imaging modalities and tumor stage was trended using Cochran-Armitage tests. We stratified our data into 2 multivariate logistic regression models to determine the effect of imaging modalities on tumor stage: 1992 to 1999 with all modalities except MRU, and 2000 to 2009 with all modalities. Results Our patient population was predominantly White males of more than 70 years old. Intravenous pyelography and RGP declined in use (62% and 72% in 1992 vs. 6% and 58% in 2009, respectively) while computed tomography urography, MRU, and endoscopy increased in use (2%, 0%, and 37% in 1992 vs. 44%, 6%, and 66% in 2009, respectively). In both regression analyses, endoscopy was associated with lower-stage tumors. In the 2000 to 2009 model, RGP was associated with lower-stage tumors, and MRU was associated with higher-stage tumors. Finally, our data showed an increasing number of modalities utilized for each patient (1% receiving 4 modalities in 1992 vs. 20% in 2009). Conclusions We found trends toward the utilization of newer imaging modalities to diagnose UTUC and more modalities per patient. Endoscopy and RGP were associated with smaller tumors, whereas MRU was associated with larger tumors. Further studies are needed to evaluate the utility of the different modalities in diagnosing UTUC.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26803434</pmid><doi>10.1016/j.urolonc.2015.12.002</doi><orcidid>https://orcid.org/0000-0003-4488-6918</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Carcinoma, Transitional Cell - diagnostic imaging Chi-Square Distribution Diagnosis Endoscopy Endoscopy - trends Endoscopy - utilization Female Humans Imaging Logistic Models Magnetic Resonance Imaging - trends Magnetic Resonance Imaging - utilization Male Medicare - statistics & numerical data Multimodal Imaging - trends Multimodal Imaging - utilization Multivariate Analysis SEER Program - statistics & numerical data Surgery Tomography, X-Ray Computed - trends Tomography, X-Ray Computed - utilization United States Upper Tract Urothelial Cancer Urinary Tract - diagnostic imaging Urinary Tract - pathology Urography - trends Urography - utilization Urologic Neoplasms - diagnostic imaging Urology |
title | Trends in the utilization of imaging for upper tract urothelial carcinoma |
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