Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction
Purpose To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials The study group consisted of 109 patients with esophageal cancer of T1–4 and Stage I–III who were treat...
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| Veröffentlicht in: | International journal of radiation oncology, biology, physics biology, physics, 2012-04, Vol.82 (5), p.1973-1980 |
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| creator | Atsumi, Kazushige, M.D Shioyama, Yoshiyuki, M.D., Ph.D Arimura, Hidetaka, Ph.D Terashima, Kotaro, M.D Matsuki, Takaomi, M.S Ohga, Saiji, M.D Yoshitake, Tadamasa, M.D., Ph.D Nonoshita, Takeshi, M.D Tsurumaru, Daisuke, M.D Ohnishi, Kayoko, M.D Asai, Kaori, M.D Matsumoto, Keiji, M.D Nakamura, Katsumasa, M.D., Ph.D Honda, Hiroshi, M.D., Ph.D |
| description | Purpose To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials The study group consisted of 109 patients with esophageal cancer of T1–4 and Stage I–III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results Esophageal stenosis tended to be more severe and more frequent in T3–4 cases than in T1–2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis ( p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 ( p < 0.001). Conclusion Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. |
| doi_str_mv | 10.1016/j.ijrobp.2011.01.047 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_22056265</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360301611002185</els_id><sourcerecordid>929507146</sourcerecordid><originalsourceid>FETCH-LOGICAL-c507t-23339acccb4c1b59563d0d5196f49a979f57cbf93daf6fea4c6e3e11c4033b703</originalsourceid><addsrcrecordid>eNqFkl2LUzEQhoMobrf6D0QCInrTmu80eyEsZVeFBWV3Re9CTs6cbeppUpPThf57c2j9wAuFgVzkmZl35h2EnlEyp4SqN-t5WOfUbOeMUDonNYR-gCZ0oc2MS_n1IZoQrsiMV_gEnZayJqSSWjxGJ4wKrY0QEzRclLRduTtwPb4ZIKYSCj4vJfngBmjxlzCs8O1ukzK-hrsMpYQUcYj42rUhDSvIbrvHXf3-o9DSRQ_5DF9m-L6D6PfYxRZ_ytAGP9T8J-hR5_oCT4_vFH2-vLhdvp9dfXz3YXl-NfOS6GHGOOfGee8b4WkjjVS8Ja2kRnXCOKNNJ7VvOsNb16kOnPAKOFDqBeG80YRP0YtD3VSGYIsPA_iVTzGCHyxjRCqmZKVeHahtTlVuGewmFA997yKkXbGGmSqHClXJ1_8kqVpopSir7adIHFCfUykZOrvNYePy3lJiR__s2h78s6N_ltQQuqY9P3bYNRtofyX9NKwCL4-AK971Xa6rDuU3J7VaiAWr3NsDB3W_9wHyOH61olqQx-nbFP6n5O8Cvg8x1J7fYA9lnXY5Vu8stYVZYm_GWxtPjVJCGF1I_gNQ2c_z</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1687661203</pqid></control><display><type>article</type><title>Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Atsumi, Kazushige, M.D ; Shioyama, Yoshiyuki, M.D., Ph.D ; Arimura, Hidetaka, Ph.D ; Terashima, Kotaro, M.D ; Matsuki, Takaomi, M.S ; Ohga, Saiji, M.D ; Yoshitake, Tadamasa, M.D., Ph.D ; Nonoshita, Takeshi, M.D ; Tsurumaru, Daisuke, M.D ; Ohnishi, Kayoko, M.D ; Asai, Kaori, M.D ; Matsumoto, Keiji, M.D ; Nakamura, Katsumasa, M.D., Ph.D ; Honda, Hiroshi, M.D., Ph.D</creator><creatorcontrib>Atsumi, Kazushige, M.D ; Shioyama, Yoshiyuki, M.D., Ph.D ; Arimura, Hidetaka, Ph.D ; Terashima, Kotaro, M.D ; Matsuki, Takaomi, M.S ; Ohga, Saiji, M.D ; Yoshitake, Tadamasa, M.D., Ph.D ; Nonoshita, Takeshi, M.D ; Tsurumaru, Daisuke, M.D ; Ohnishi, Kayoko, M.D ; Asai, Kaori, M.D ; Matsumoto, Keiji, M.D ; Nakamura, Katsumasa, M.D., Ph.D ; Honda, Hiroshi, M.D., Ph.D</creatorcontrib><description>Purpose To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials The study group consisted of 109 patients with esophageal cancer of T1–4 and Stage I–III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results Esophageal stenosis tended to be more severe and more frequent in T3–4 cases than in T1–2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis ( p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 ( p < 0.001). Conclusion Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer.</description><identifier>ISSN: 0360-3016</identifier><identifier>EISSN: 1879-355X</identifier><identifier>DOI: 10.1016/j.ijrobp.2011.01.047</identifier><identifier>PMID: 21477944</identifier><identifier>CODEN: IOBPD3</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Antineoplastic Combined Chemotherapy Protocols - therapeutic use ; Biological and medical sciences ; Carcinoma, Small Cell - drug therapy ; Carcinoma, Small Cell - pathology ; Carcinoma, Small Cell - radiotherapy ; Carcinoma, Squamous Cell - drug therapy ; Carcinoma, Squamous Cell - pathology ; Carcinoma, Squamous Cell - radiotherapy ; Chemoradiation ; Chemoradiotherapy - methods ; Esophageal cancer ; Esophageal Neoplasms - drug therapy ; Esophageal Neoplasms - pathology ; Esophageal Neoplasms - radiotherapy ; Esophageal stenosis ; Esophageal Stenosis - epidemiology ; Esophageal Stenosis - etiology ; Esophageal Stenosis - pathology ; ESOPHAGUS ; Female ; FORECASTING ; Gastroenterology. Liver. Pancreas. Abdomen ; Hematology, Oncology and Palliative Medicine ; Humans ; Japan ; Male ; Medical sciences ; Middle Aged ; MULTIVARIATE ANALYSIS ; Neoplasm Staging ; NEOPLASMS ; NEURAL NETWORKS ; Neural Networks (Computer) ; Other diseases. Semiology ; PATIENTS ; Radiology ; RADIOLOGY AND NUCLEAR MEDICINE ; RADIOTHERAPY ; Remission Induction - methods ; Risk Factors ; Severity of Illness Index ; Tumor Burden ; Tumors ; VALIDATION</subject><ispartof>International journal of radiation oncology, biology, physics, 2012-04, Vol.82 (5), p.1973-1980</ispartof><rights>Elsevier Inc.</rights><rights>2012 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-23339acccb4c1b59563d0d5196f49a979f57cbf93daf6fea4c6e3e11c4033b703</citedby><cites>FETCH-LOGICAL-c507t-23339acccb4c1b59563d0d5196f49a979f57cbf93daf6fea4c6e3e11c4033b703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360301611002185$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25768482$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21477944$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/22056265$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Atsumi, Kazushige, M.D</creatorcontrib><creatorcontrib>Shioyama, Yoshiyuki, M.D., Ph.D</creatorcontrib><creatorcontrib>Arimura, Hidetaka, Ph.D</creatorcontrib><creatorcontrib>Terashima, Kotaro, M.D</creatorcontrib><creatorcontrib>Matsuki, Takaomi, M.S</creatorcontrib><creatorcontrib>Ohga, Saiji, M.D</creatorcontrib><creatorcontrib>Yoshitake, Tadamasa, M.D., Ph.D</creatorcontrib><creatorcontrib>Nonoshita, Takeshi, M.D</creatorcontrib><creatorcontrib>Tsurumaru, Daisuke, M.D</creatorcontrib><creatorcontrib>Ohnishi, Kayoko, M.D</creatorcontrib><creatorcontrib>Asai, Kaori, M.D</creatorcontrib><creatorcontrib>Matsumoto, Keiji, M.D</creatorcontrib><creatorcontrib>Nakamura, Katsumasa, M.D., Ph.D</creatorcontrib><creatorcontrib>Honda, Hiroshi, M.D., Ph.D</creatorcontrib><title>Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction</title><title>International journal of radiation oncology, biology, physics</title><addtitle>Int J Radiat Oncol Biol Phys</addtitle><description>Purpose To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials The study group consisted of 109 patients with esophageal cancer of T1–4 and Stage I–III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results Esophageal stenosis tended to be more severe and more frequent in T3–4 cases than in T1–2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis ( p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 ( p < 0.001). Conclusion Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</subject><subject>Biological and medical sciences</subject><subject>Carcinoma, Small Cell - drug therapy</subject><subject>Carcinoma, Small Cell - pathology</subject><subject>Carcinoma, Small Cell - radiotherapy</subject><subject>Carcinoma, Squamous Cell - drug therapy</subject><subject>Carcinoma, Squamous Cell - pathology</subject><subject>Carcinoma, Squamous Cell - radiotherapy</subject><subject>Chemoradiation</subject><subject>Chemoradiotherapy - methods</subject><subject>Esophageal cancer</subject><subject>Esophageal Neoplasms - drug therapy</subject><subject>Esophageal Neoplasms - pathology</subject><subject>Esophageal Neoplasms - radiotherapy</subject><subject>Esophageal stenosis</subject><subject>Esophageal Stenosis - epidemiology</subject><subject>Esophageal Stenosis - etiology</subject><subject>Esophageal Stenosis - pathology</subject><subject>ESOPHAGUS</subject><subject>Female</subject><subject>FORECASTING</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Japan</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>MULTIVARIATE ANALYSIS</subject><subject>Neoplasm Staging</subject><subject>NEOPLASMS</subject><subject>NEURAL NETWORKS</subject><subject>Neural Networks (Computer)</subject><subject>Other diseases. Semiology</subject><subject>PATIENTS</subject><subject>Radiology</subject><subject>RADIOLOGY AND NUCLEAR MEDICINE</subject><subject>RADIOTHERAPY</subject><subject>Remission Induction - methods</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Tumor Burden</subject><subject>Tumors</subject><subject>VALIDATION</subject><issn>0360-3016</issn><issn>1879-355X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkl2LUzEQhoMobrf6D0QCInrTmu80eyEsZVeFBWV3Re9CTs6cbeppUpPThf57c2j9wAuFgVzkmZl35h2EnlEyp4SqN-t5WOfUbOeMUDonNYR-gCZ0oc2MS_n1IZoQrsiMV_gEnZayJqSSWjxGJ4wKrY0QEzRclLRduTtwPb4ZIKYSCj4vJfngBmjxlzCs8O1ukzK-hrsMpYQUcYj42rUhDSvIbrvHXf3-o9DSRQ_5DF9m-L6D6PfYxRZ_ytAGP9T8J-hR5_oCT4_vFH2-vLhdvp9dfXz3YXl-NfOS6GHGOOfGee8b4WkjjVS8Ja2kRnXCOKNNJ7VvOsNb16kOnPAKOFDqBeG80YRP0YtD3VSGYIsPA_iVTzGCHyxjRCqmZKVeHahtTlVuGewmFA997yKkXbGGmSqHClXJ1_8kqVpopSir7adIHFCfUykZOrvNYePy3lJiR__s2h78s6N_ltQQuqY9P3bYNRtofyX9NKwCL4-AK971Xa6rDuU3J7VaiAWr3NsDB3W_9wHyOH61olqQx-nbFP6n5O8Cvg8x1J7fYA9lnXY5Vu8stYVZYm_GWxtPjVJCGF1I_gNQ2c_z</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Atsumi, Kazushige, M.D</creator><creator>Shioyama, Yoshiyuki, M.D., Ph.D</creator><creator>Arimura, Hidetaka, Ph.D</creator><creator>Terashima, Kotaro, M.D</creator><creator>Matsuki, Takaomi, M.S</creator><creator>Ohga, Saiji, M.D</creator><creator>Yoshitake, Tadamasa, M.D., Ph.D</creator><creator>Nonoshita, Takeshi, M.D</creator><creator>Tsurumaru, Daisuke, M.D</creator><creator>Ohnishi, Kayoko, M.D</creator><creator>Asai, Kaori, M.D</creator><creator>Matsumoto, Keiji, M.D</creator><creator>Nakamura, Katsumasa, M.D., Ph.D</creator><creator>Honda, Hiroshi, M.D., Ph.D</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><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>7U7</scope><scope>C1K</scope><scope>7X8</scope><scope>OTOTI</scope></search><sort><creationdate>20120401</creationdate><title>Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction</title><author>Atsumi, Kazushige, M.D ; Shioyama, Yoshiyuki, M.D., Ph.D ; Arimura, Hidetaka, Ph.D ; Terashima, Kotaro, M.D ; Matsuki, Takaomi, M.S ; Ohga, Saiji, M.D ; Yoshitake, Tadamasa, M.D., Ph.D ; Nonoshita, Takeshi, M.D ; Tsurumaru, Daisuke, M.D ; Ohnishi, Kayoko, M.D ; Asai, Kaori, M.D ; Matsumoto, Keiji, M.D ; Nakamura, Katsumasa, M.D., Ph.D ; Honda, Hiroshi, M.D., Ph.D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-23339acccb4c1b59563d0d5196f49a979f57cbf93daf6fea4c6e3e11c4033b703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</topic><topic>Biological and medical sciences</topic><topic>Carcinoma, Small Cell - drug therapy</topic><topic>Carcinoma, Small Cell - pathology</topic><topic>Carcinoma, Small Cell - radiotherapy</topic><topic>Carcinoma, Squamous Cell - drug therapy</topic><topic>Carcinoma, Squamous Cell - pathology</topic><topic>Carcinoma, Squamous Cell - radiotherapy</topic><topic>Chemoradiation</topic><topic>Chemoradiotherapy - methods</topic><topic>Esophageal cancer</topic><topic>Esophageal Neoplasms - drug therapy</topic><topic>Esophageal Neoplasms - pathology</topic><topic>Esophageal Neoplasms - radiotherapy</topic><topic>Esophageal stenosis</topic><topic>Esophageal Stenosis - epidemiology</topic><topic>Esophageal Stenosis - etiology</topic><topic>Esophageal Stenosis - pathology</topic><topic>ESOPHAGUS</topic><topic>Female</topic><topic>FORECASTING</topic><topic>Gastroenterology. Liver. Pancreas. Abdomen</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Japan</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>MULTIVARIATE ANALYSIS</topic><topic>Neoplasm Staging</topic><topic>NEOPLASMS</topic><topic>NEURAL NETWORKS</topic><topic>Neural Networks (Computer)</topic><topic>Other diseases. Semiology</topic><topic>PATIENTS</topic><topic>Radiology</topic><topic>RADIOLOGY AND NUCLEAR MEDICINE</topic><topic>RADIOTHERAPY</topic><topic>Remission Induction - methods</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Tumor Burden</topic><topic>Tumors</topic><topic>VALIDATION</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Atsumi, Kazushige, M.D</creatorcontrib><creatorcontrib>Shioyama, Yoshiyuki, M.D., Ph.D</creatorcontrib><creatorcontrib>Arimura, Hidetaka, Ph.D</creatorcontrib><creatorcontrib>Terashima, Kotaro, M.D</creatorcontrib><creatorcontrib>Matsuki, Takaomi, M.S</creatorcontrib><creatorcontrib>Ohga, Saiji, M.D</creatorcontrib><creatorcontrib>Yoshitake, Tadamasa, M.D., Ph.D</creatorcontrib><creatorcontrib>Nonoshita, Takeshi, M.D</creatorcontrib><creatorcontrib>Tsurumaru, Daisuke, M.D</creatorcontrib><creatorcontrib>Ohnishi, Kayoko, M.D</creatorcontrib><creatorcontrib>Asai, Kaori, M.D</creatorcontrib><creatorcontrib>Matsumoto, Keiji, M.D</creatorcontrib><creatorcontrib>Nakamura, Katsumasa, M.D., Ph.D</creatorcontrib><creatorcontrib>Honda, Hiroshi, M.D., Ph.D</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>International journal of radiation oncology, biology, physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Atsumi, Kazushige, M.D</au><au>Shioyama, Yoshiyuki, M.D., Ph.D</au><au>Arimura, Hidetaka, Ph.D</au><au>Terashima, Kotaro, M.D</au><au>Matsuki, Takaomi, M.S</au><au>Ohga, Saiji, M.D</au><au>Yoshitake, Tadamasa, M.D., Ph.D</au><au>Nonoshita, Takeshi, M.D</au><au>Tsurumaru, Daisuke, M.D</au><au>Ohnishi, Kayoko, M.D</au><au>Asai, Kaori, M.D</au><au>Matsumoto, Keiji, M.D</au><au>Nakamura, Katsumasa, M.D., Ph.D</au><au>Honda, Hiroshi, M.D., Ph.D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction</atitle><jtitle>International journal of radiation oncology, biology, physics</jtitle><addtitle>Int J Radiat Oncol Biol Phys</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>82</volume><issue>5</issue><spage>1973</spage><epage>1980</epage><pages>1973-1980</pages><issn>0360-3016</issn><eissn>1879-355X</eissn><coden>IOBPD3</coden><abstract>Purpose To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials The study group consisted of 109 patients with esophageal cancer of T1–4 and Stage I–III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results Esophageal stenosis tended to be more severe and more frequent in T3–4 cases than in T1–2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis ( p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 ( p < 0.001). Conclusion Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21477944</pmid><doi>10.1016/j.ijrobp.2011.01.047</doi><tpages>8</tpages></addata></record> |
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| identifier | ISSN: 0360-3016 |
| ispartof | International journal of radiation oncology, biology, physics, 2012-04, Vol.82 (5), p.1973-1980 |
| issn | 0360-3016 1879-355X |
| language | eng |
| recordid | cdi_osti_scitechconnect_22056265 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Adult Aged Aged, 80 and over Antineoplastic Combined Chemotherapy Protocols - therapeutic use Biological and medical sciences Carcinoma, Small Cell - drug therapy Carcinoma, Small Cell - pathology Carcinoma, Small Cell - radiotherapy Carcinoma, Squamous Cell - drug therapy Carcinoma, Squamous Cell - pathology Carcinoma, Squamous Cell - radiotherapy Chemoradiation Chemoradiotherapy - methods Esophageal cancer Esophageal Neoplasms - drug therapy Esophageal Neoplasms - pathology Esophageal Neoplasms - radiotherapy Esophageal stenosis Esophageal Stenosis - epidemiology Esophageal Stenosis - etiology Esophageal Stenosis - pathology ESOPHAGUS Female FORECASTING Gastroenterology. Liver. Pancreas. Abdomen Hematology, Oncology and Palliative Medicine Humans Japan Male Medical sciences Middle Aged MULTIVARIATE ANALYSIS Neoplasm Staging NEOPLASMS NEURAL NETWORKS Neural Networks (Computer) Other diseases. Semiology PATIENTS Radiology RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY Remission Induction - methods Risk Factors Severity of Illness Index Tumor Burden Tumors VALIDATION |
| title | Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction |
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