Jakob Leonhardi, Arsen Sabanov, Anne Kathrin Höhn, Robert Sucher, Daniel Seehofer, Matthias Mehdorn, Benedikt Schnarkowski, Sebastian Ebel, Timm Denecke, Hans-Jonas Meyer
{"title":"肝周胆管癌的 CT 纹理分析--与肿瘤分级、肿瘤标记物和临床结果的关系","authors":"Jakob Leonhardi, Arsen Sabanov, Anne Kathrin Höhn, Robert Sucher, Daniel Seehofer, Matthias Mehdorn, Benedikt Schnarkowski, Sebastian Ebel, Timm Denecke, Hans-Jonas Meyer","doi":"10.1002/cnr2.2132","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Texture analysis derived from computed tomography (CT) may provide clinically relevant imaging biomarkers associated with tumor histopathology. Perihilar cholangiocarcinoma is a malignant disease with an overall poor prognosis.</p>\n </section>\n \n <section>\n \n <h3> Aims</h3>\n \n <p>The present study sought to elucidate possible associations between texture features derived from CT images with grading, tumor markers, and survival in extrahepatic, perihilar cholangiocarcinomas tumors.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study included 22 patients (10 females, 45%) with a mean age of 71.8 ± 8.7 years. Texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. Survival and clinical parameters were used as primary study outcomes.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In discrimination analysis, “S(1,1)SumVarnc” was statistically significantly different between patients with long-term survival and nonlong-term survival (mean 275.8 ± 32.6 vs. 239.7 ± 26.0, <i>p</i> = 0.01). The first-order parameter “skewness” was associated with the tumor marker “carcinoembryonic antigen” (CEA) (<i>r</i> = −0.7, <i>p</i> = 0.01). A statistically significant correlation of the texture parameter “S(5,0)SumVarnc” with tumor grading was identified (<i>r</i> = −0.6, <i>p</i> < 0.01). Several other texture features correlated with tumor markers CA-19-9 and AFP, as well as with T and N stage of tumors.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Several texture features derived from CT images were associated with tumor characteristics and survival in patients with perihilar cholangiocarcinomas. CT texture features could be used as valuable novel imaging markers in clinical routine.</p>\n </section>\n </div>","PeriodicalId":9440,"journal":{"name":"Cancer reports","volume":"7 9","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnr2.2132","citationCount":"0","resultStr":"{\"title\":\"CT Texture Analysis of Perihilar Cholangiocarcinoma—Associations With Tumor Grading, Tumor Markers and Clinical Outcome\",\"authors\":\"Jakob Leonhardi, Arsen Sabanov, Anne Kathrin Höhn, Robert Sucher, Daniel Seehofer, Matthias Mehdorn, Benedikt Schnarkowski, Sebastian Ebel, Timm Denecke, Hans-Jonas Meyer\",\"doi\":\"10.1002/cnr2.2132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Texture analysis derived from computed tomography (CT) may provide clinically relevant imaging biomarkers associated with tumor histopathology. Perihilar cholangiocarcinoma is a malignant disease with an overall poor prognosis.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>The present study sought to elucidate possible associations between texture features derived from CT images with grading, tumor markers, and survival in extrahepatic, perihilar cholangiocarcinomas tumors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This retrospective study included 22 patients (10 females, 45%) with a mean age of 71.8 ± 8.7 years. Texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. Survival and clinical parameters were used as primary study outcomes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>In discrimination analysis, “S(1,1)SumVarnc” was statistically significantly different between patients with long-term survival and nonlong-term survival (mean 275.8 ± 32.6 vs. 239.7 ± 26.0, <i>p</i> = 0.01). The first-order parameter “skewness” was associated with the tumor marker “carcinoembryonic antigen” (CEA) (<i>r</i> = −0.7, <i>p</i> = 0.01). A statistically significant correlation of the texture parameter “S(5,0)SumVarnc” with tumor grading was identified (<i>r</i> = −0.6, <i>p</i> < 0.01). Several other texture features correlated with tumor markers CA-19-9 and AFP, as well as with T and N stage of tumors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Several texture features derived from CT images were associated with tumor characteristics and survival in patients with perihilar cholangiocarcinomas. 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CT Texture Analysis of Perihilar Cholangiocarcinoma—Associations With Tumor Grading, Tumor Markers and Clinical Outcome
Background
Texture analysis derived from computed tomography (CT) may provide clinically relevant imaging biomarkers associated with tumor histopathology. Perihilar cholangiocarcinoma is a malignant disease with an overall poor prognosis.
Aims
The present study sought to elucidate possible associations between texture features derived from CT images with grading, tumor markers, and survival in extrahepatic, perihilar cholangiocarcinomas tumors.
Methods
This retrospective study included 22 patients (10 females, 45%) with a mean age of 71.8 ± 8.7 years. Texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. Survival and clinical parameters were used as primary study outcomes.
Results
In discrimination analysis, “S(1,1)SumVarnc” was statistically significantly different between patients with long-term survival and nonlong-term survival (mean 275.8 ± 32.6 vs. 239.7 ± 26.0, p = 0.01). The first-order parameter “skewness” was associated with the tumor marker “carcinoembryonic antigen” (CEA) (r = −0.7, p = 0.01). A statistically significant correlation of the texture parameter “S(5,0)SumVarnc” with tumor grading was identified (r = −0.6, p < 0.01). Several other texture features correlated with tumor markers CA-19-9 and AFP, as well as with T and N stage of tumors.
Conclusion
Several texture features derived from CT images were associated with tumor characteristics and survival in patients with perihilar cholangiocarcinomas. CT texture features could be used as valuable novel imaging markers in clinical routine.