Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients
The incidence of well-differentiated thyroid cancer (WDTC) is increasing rapidly. Many authors feel that this increase is due to over-diagnosis and that one of the contributing factors is the increasing use of various imaging studies. The rate of obesity has also been increasing in the United States...
Gespeichert in:
Veröffentlicht in: | PloS one 2016-04, Vol.11 (4), p.e0152768 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 4 |
container_start_page | e0152768 |
container_title | PloS one |
container_volume | 11 |
creator | Zagzag, Jonathan Malone, Michael K Lopresti, Melissa A Ogilvie, Jennifer B Patel, Kepal N Heller, Keith S |
description | The incidence of well-differentiated thyroid cancer (WDTC) is increasing rapidly. Many authors feel that this increase is due to over-diagnosis and that one of the contributing factors is the increasing use of various imaging studies. The rate of obesity has also been increasing in the United States. It has been suggested that patients with an increased body mass index (BMI kg/m2) have a higher incidence of WDTC than patients with normal BMI. One might hypothesize that thyroid nodules are more difficult to palpate in obese patients and that as more cancers are detected by imaging the apparent rate of increase in WDTC in obese patients would appear to be greater than in non-obese patients. This study was undertaken to evaluate this hypothesis by determining if there is any difference in the way thyroid cancers are initially detected in obese and non-obese patients.
The medical records of all 519 patients with a postoperative diagnosis of WDTC who underwent thyroidectomy at NYU Langone Medical Center from January 1, 2007 through August 31, 2010 by the three members of NYU Endocrine Surgery Associates were reviewed. Patients were divided into Non-obese (BMI |
doi_str_mv | 10.1371/journal.pone.0152768 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1778407977</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A453452228</galeid><doaj_id>oai_doaj_org_article_03c8e82c1dd14a18838314452cfa2559</doaj_id><sourcerecordid>A453452228</sourcerecordid><originalsourceid>FETCH-LOGICAL-c618t-5ad471b73d6ff5dc4d488880fa5c95346ddacb2ff216629b2fa215bee30f14803</originalsourceid><addsrcrecordid>eNqFkl1rFDEUhgdRbK3-A9EBQbyZNZ-TzI1Qtn4UqvWiIngTssnJbpbZZE1mhf57M-607IpgbvL1nDcnL29VPcdohqnAb9dxl4LuZ9sYYIYwJ6KVD6pT3FHStATRhwfrk-pJzmuEOJVt-7g6IQIx2hF5Wv34DMMq2jq6-gIGMIOPYdx8h75vLrxzkCAMXg9g65vVbYre1nMdDKRc-1BfLyBDrYOtv8TQ7Hdf9eBLTX5aPXK6z_Bsms-qbx_e38w_NVfXHy_n51eNabEcGq4tE3ghqG2d49Ywy2QZyGluOk5Za602C-IcwW1LurLSBPMFAEUOM4noWfVyr7vtY1aTLVlhISRDohOiEJd7wka9VtvkNzrdqqi9-nMQ01LpNHjTg0LUSJDEYGsx01hKKilmjBNTnuW8K1rvptd2iw1YU36adH8kenwT_Eot4y_FJEEYkyLwZhJI8ecO8qA2Pptitw4Qd6Vv2QkqWCvw_1EhOkRY8aigr_5C_23ERC11-asPLpYWzSiqzlnxmhNCZKFeH1Ar0P2wyrHfjdnIxyDbgybFnBO4exswUmNI75pQY0jVFNJS9uLQwvuiu1TS358K4e0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1778407977</pqid></control><display><type>article</type><title>Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Zagzag, Jonathan ; Malone, Michael K ; Lopresti, Melissa A ; Ogilvie, Jennifer B ; Patel, Kepal N ; Heller, Keith S</creator><creatorcontrib>Zagzag, Jonathan ; Malone, Michael K ; Lopresti, Melissa A ; Ogilvie, Jennifer B ; Patel, Kepal N ; Heller, Keith S</creatorcontrib><description>The incidence of well-differentiated thyroid cancer (WDTC) is increasing rapidly. Many authors feel that this increase is due to over-diagnosis and that one of the contributing factors is the increasing use of various imaging studies. The rate of obesity has also been increasing in the United States. It has been suggested that patients with an increased body mass index (BMI kg/m2) have a higher incidence of WDTC than patients with normal BMI. One might hypothesize that thyroid nodules are more difficult to palpate in obese patients and that as more cancers are detected by imaging the apparent rate of increase in WDTC in obese patients would appear to be greater than in non-obese patients. This study was undertaken to evaluate this hypothesis by determining if there is any difference in the way thyroid cancers are initially detected in obese and non-obese patients.
The medical records of all 519 patients with a postoperative diagnosis of WDTC who underwent thyroidectomy at NYU Langone Medical Center from January 1, 2007 through August 31, 2010 by the three members of NYU Endocrine Surgery Associates were reviewed. Patients were divided into Non-obese (BMI<30 kg/m2) and Obese (BMI≥30 kg/m2) groups. Patients were also divided by the initial method of detection of their tumor into Palpation, Imaging, and Incidental groups.
The final study group contained 270 patients, 181(67%) of whom were in the Non-obese Group and 89(33%) were in the Obese Group. In the Non-obese group, 81(45%) of tumors were found by palpation, 72(40%) were found by imaging, and 28(16%) were found incidentally. In the Obese group, 40(45%) were found by palpation, 38(43%) were found by imaging, and 11(12%) were found incidentally. These differences were not statistically significant (p-value 0.769).
We show that BMI does not play a role in the method of initial detection in patients with WDTC. This suggests that the prevalence of WDTC detected by imaging is not an artifact caused by an increasingly obese population and that any association of WDTC and obesity is not related to the way in which these tumors are detected.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0152768</identifier><identifier>PMID: 27043928</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Biology and Life Sciences ; Biomarkers ; Biopsy ; Body mass ; Body Mass Index ; Body size ; Cancer diagnosis ; Cellular biology ; Diagnosis ; Female ; Health aspects ; Health care facilities ; Humans ; Imaging ; Incidence ; Male ; Medical records ; Medicine and Health Sciences ; Methods ; Middle Aged ; Nodules ; Obesity ; Obesity - complications ; Obesity - surgery ; Patients ; People and Places ; Socioeconomic factors ; Statistical analysis ; Studies ; Surgery ; Systematic review ; Thyroid ; Thyroid cancer ; Thyroid Neoplasms - diagnosis ; Thyroid Neoplasms - surgery ; Thyroidectomy ; Trends ; Tumors ; Variance analysis</subject><ispartof>PloS one, 2016-04, Vol.11 (4), p.e0152768</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Zagzag et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Zagzag et al 2016 Zagzag et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c618t-5ad471b73d6ff5dc4d488880fa5c95346ddacb2ff216629b2fa215bee30f14803</citedby><cites>FETCH-LOGICAL-c618t-5ad471b73d6ff5dc4d488880fa5c95346ddacb2ff216629b2fa215bee30f14803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820112/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820112/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27043928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zagzag, Jonathan</creatorcontrib><creatorcontrib>Malone, Michael K</creatorcontrib><creatorcontrib>Lopresti, Melissa A</creatorcontrib><creatorcontrib>Ogilvie, Jennifer B</creatorcontrib><creatorcontrib>Patel, Kepal N</creatorcontrib><creatorcontrib>Heller, Keith S</creatorcontrib><title>Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The incidence of well-differentiated thyroid cancer (WDTC) is increasing rapidly. Many authors feel that this increase is due to over-diagnosis and that one of the contributing factors is the increasing use of various imaging studies. The rate of obesity has also been increasing in the United States. It has been suggested that patients with an increased body mass index (BMI kg/m2) have a higher incidence of WDTC than patients with normal BMI. One might hypothesize that thyroid nodules are more difficult to palpate in obese patients and that as more cancers are detected by imaging the apparent rate of increase in WDTC in obese patients would appear to be greater than in non-obese patients. This study was undertaken to evaluate this hypothesis by determining if there is any difference in the way thyroid cancers are initially detected in obese and non-obese patients.
The medical records of all 519 patients with a postoperative diagnosis of WDTC who underwent thyroidectomy at NYU Langone Medical Center from January 1, 2007 through August 31, 2010 by the three members of NYU Endocrine Surgery Associates were reviewed. Patients were divided into Non-obese (BMI<30 kg/m2) and Obese (BMI≥30 kg/m2) groups. Patients were also divided by the initial method of detection of their tumor into Palpation, Imaging, and Incidental groups.
The final study group contained 270 patients, 181(67%) of whom were in the Non-obese Group and 89(33%) were in the Obese Group. In the Non-obese group, 81(45%) of tumors were found by palpation, 72(40%) were found by imaging, and 28(16%) were found incidentally. In the Obese group, 40(45%) were found by palpation, 38(43%) were found by imaging, and 11(12%) were found incidentally. These differences were not statistically significant (p-value 0.769).
We show that BMI does not play a role in the method of initial detection in patients with WDTC. This suggests that the prevalence of WDTC detected by imaging is not an artifact caused by an increasingly obese population and that any association of WDTC and obesity is not related to the way in which these tumors are detected.</description><subject>Adult</subject><subject>Aged</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Cancer diagnosis</subject><subject>Cellular biology</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health care facilities</subject><subject>Humans</subject><subject>Imaging</subject><subject>Incidence</subject><subject>Male</subject><subject>Medical records</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Nodules</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Obesity - surgery</subject><subject>Patients</subject><subject>People and Places</subject><subject>Socioeconomic factors</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surgery</subject><subject>Systematic review</subject><subject>Thyroid</subject><subject>Thyroid cancer</subject><subject>Thyroid Neoplasms - diagnosis</subject><subject>Thyroid Neoplasms - surgery</subject><subject>Thyroidectomy</subject><subject>Trends</subject><subject>Tumors</subject><subject>Variance analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqFkl1rFDEUhgdRbK3-A9EBQbyZNZ-TzI1Qtn4UqvWiIngTssnJbpbZZE1mhf57M-607IpgbvL1nDcnL29VPcdohqnAb9dxl4LuZ9sYYIYwJ6KVD6pT3FHStATRhwfrk-pJzmuEOJVt-7g6IQIx2hF5Wv34DMMq2jq6-gIGMIOPYdx8h75vLrxzkCAMXg9g65vVbYre1nMdDKRc-1BfLyBDrYOtv8TQ7Hdf9eBLTX5aPXK6z_Bsms-qbx_e38w_NVfXHy_n51eNabEcGq4tE3ghqG2d49Ywy2QZyGluOk5Za602C-IcwW1LurLSBPMFAEUOM4noWfVyr7vtY1aTLVlhISRDohOiEJd7wka9VtvkNzrdqqi9-nMQ01LpNHjTg0LUSJDEYGsx01hKKilmjBNTnuW8K1rvptd2iw1YU36adH8kenwT_Eot4y_FJEEYkyLwZhJI8ecO8qA2Pptitw4Qd6Vv2QkqWCvw_1EhOkRY8aigr_5C_23ERC11-asPLpYWzSiqzlnxmhNCZKFeH1Ar0P2wyrHfjdnIxyDbgybFnBO4exswUmNI75pQY0jVFNJS9uLQwvuiu1TS358K4e0</recordid><startdate>20160404</startdate><enddate>20160404</enddate><creator>Zagzag, Jonathan</creator><creator>Malone, Michael K</creator><creator>Lopresti, Melissa A</creator><creator>Ogilvie, Jennifer B</creator><creator>Patel, Kepal N</creator><creator>Heller, Keith S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>7TS</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160404</creationdate><title>Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients</title><author>Zagzag, Jonathan ; Malone, Michael K ; Lopresti, Melissa A ; Ogilvie, Jennifer B ; Patel, Kepal N ; Heller, Keith S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c618t-5ad471b73d6ff5dc4d488880fa5c95346ddacb2ff216629b2fa215bee30f14803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Cancer diagnosis</topic><topic>Cellular biology</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health care facilities</topic><topic>Humans</topic><topic>Imaging</topic><topic>Incidence</topic><topic>Male</topic><topic>Medical records</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Nodules</topic><topic>Obesity</topic><topic>Obesity - complications</topic><topic>Obesity - surgery</topic><topic>Patients</topic><topic>People and Places</topic><topic>Socioeconomic factors</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Surgery</topic><topic>Systematic review</topic><topic>Thyroid</topic><topic>Thyroid cancer</topic><topic>Thyroid Neoplasms - diagnosis</topic><topic>Thyroid Neoplasms - surgery</topic><topic>Thyroidectomy</topic><topic>Trends</topic><topic>Tumors</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zagzag, Jonathan</creatorcontrib><creatorcontrib>Malone, Michael K</creatorcontrib><creatorcontrib>Lopresti, Melissa A</creatorcontrib><creatorcontrib>Ogilvie, Jennifer B</creatorcontrib><creatorcontrib>Patel, Kepal N</creatorcontrib><creatorcontrib>Heller, Keith S</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>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Physical Education Index</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zagzag, Jonathan</au><au>Malone, Michael K</au><au>Lopresti, Melissa A</au><au>Ogilvie, Jennifer B</au><au>Patel, Kepal N</au><au>Heller, Keith S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-04-04</date><risdate>2016</risdate><volume>11</volume><issue>4</issue><spage>e0152768</spage><pages>e0152768-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The incidence of well-differentiated thyroid cancer (WDTC) is increasing rapidly. Many authors feel that this increase is due to over-diagnosis and that one of the contributing factors is the increasing use of various imaging studies. The rate of obesity has also been increasing in the United States. It has been suggested that patients with an increased body mass index (BMI kg/m2) have a higher incidence of WDTC than patients with normal BMI. One might hypothesize that thyroid nodules are more difficult to palpate in obese patients and that as more cancers are detected by imaging the apparent rate of increase in WDTC in obese patients would appear to be greater than in non-obese patients. This study was undertaken to evaluate this hypothesis by determining if there is any difference in the way thyroid cancers are initially detected in obese and non-obese patients.
The medical records of all 519 patients with a postoperative diagnosis of WDTC who underwent thyroidectomy at NYU Langone Medical Center from January 1, 2007 through August 31, 2010 by the three members of NYU Endocrine Surgery Associates were reviewed. Patients were divided into Non-obese (BMI<30 kg/m2) and Obese (BMI≥30 kg/m2) groups. Patients were also divided by the initial method of detection of their tumor into Palpation, Imaging, and Incidental groups.
The final study group contained 270 patients, 181(67%) of whom were in the Non-obese Group and 89(33%) were in the Obese Group. In the Non-obese group, 81(45%) of tumors were found by palpation, 72(40%) were found by imaging, and 28(16%) were found incidentally. In the Obese group, 40(45%) were found by palpation, 38(43%) were found by imaging, and 11(12%) were found incidentally. These differences were not statistically significant (p-value 0.769).
We show that BMI does not play a role in the method of initial detection in patients with WDTC. This suggests that the prevalence of WDTC detected by imaging is not an artifact caused by an increasingly obese population and that any association of WDTC and obesity is not related to the way in which these tumors are detected.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27043928</pmid><doi>10.1371/journal.pone.0152768</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2016-04, Vol.11 (4), p.e0152768 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1778407977 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adult Aged Biology and Life Sciences Biomarkers Biopsy Body mass Body Mass Index Body size Cancer diagnosis Cellular biology Diagnosis Female Health aspects Health care facilities Humans Imaging Incidence Male Medical records Medicine and Health Sciences Methods Middle Aged Nodules Obesity Obesity - complications Obesity - surgery Patients People and Places Socioeconomic factors Statistical analysis Studies Surgery Systematic review Thyroid Thyroid cancer Thyroid Neoplasms - diagnosis Thyroid Neoplasms - surgery Thyroidectomy Trends Tumors Variance analysis |
title | Method of Detection of Well-Differentiated Thyroid Cancers in Obese and Non-Obese Patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T20%3A01%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Method%20of%20Detection%20of%20Well-Differentiated%20Thyroid%20Cancers%20in%20Obese%20and%20Non-Obese%20Patients&rft.jtitle=PloS%20one&rft.au=Zagzag,%20Jonathan&rft.date=2016-04-04&rft.volume=11&rft.issue=4&rft.spage=e0152768&rft.pages=e0152768-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0152768&rft_dat=%3Cgale_plos_%3EA453452228%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1778407977&rft_id=info:pmid/27043928&rft_galeid=A453452228&rft_doaj_id=oai_doaj_org_article_03c8e82c1dd14a18838314452cfa2559&rfr_iscdi=true |