{"title":"利用高光谱成像确定粪便表面高定量粪便隐血的可能性。","authors":"Hiroaki Ikematsu, Yohei Takara, Keiichiro Nishihara, Yuki Kano, Yuji Owaki, Ryuji Okamoto, Takahisa Fujiwara, Toshihiro Takamatsu, Masayuki Yamada, Yutaka Tomioka, Nobuyoshi Takeshita, Atsushi Inaba, Hironori Sunakawa, Keiichiro Nakajo, Tatsuro Murano, Tomohiro Kadota, Kensuke Shinmura, Yoshikatsu Koga, Tomonori Yano","doi":"10.1007/s00535-024-02163-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Fecal immunochemical tests are commonly performed for colorectal cancer screening. Instant fecal occult blood measurement in toilet bowel movements would improve convenience. Hyperspectral imaging (HSI) enables the nondestructive evaluation of materials that are difficult to assess visually. This study aimed to determine whether HSI could be used to identify fecal occult blood on stool surfaces.</p><p><strong>Methods: </strong>The study included 100 patients who underwent colonoscopy, divided into groups A and B (50 patients, each) for creating a discriminant algorithm and validating the accuracy of the algorithm, respectively. In group A, 100 areas were randomly selected from the stool surface, and the fecal occult blood quantitative values were measured and photographed using a hyperspectral camera (cutoff: > 400 ng/mL). A discriminant algorithm image was created to extract spectral feature differences obtained from HSI via machine learning. In group B, 250 random areas were evaluated and compared to fecal occult blood quantitative values, measuring sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).</p><p><strong>Results: </strong>Groups A and B comprised 28 and 26 patients with cancer, respectively. Cancer detection sensitivity at the 400 ng/mL cutoff was 67.9% and 42.3% in groups A and B, respectively. The discriminant algorithm image exhibited high accuracy in group A (sensitivity; 77.1%, specificity; 96.9%, accuracy; 90.0%, PPV; 93.1%, NPV; 88.7%). In group B, the sensitivity, specificity, accuracy, PPV, and NPV were 83.3, 92.9, 90.8, 76.3, and 95.3%, respectively.</p><p><strong>Conclusion: </strong>HSI can effectively discriminate high quantitative fecal occult blood, highlighting its potential for improved colorectal cancer screening.</p>","PeriodicalId":16059,"journal":{"name":"Journal of Gastroenterology","volume":" ","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Possibility of determining high quantitative fecal occult blood on stool surface using hyperspectral imaging.\",\"authors\":\"Hiroaki Ikematsu, Yohei Takara, Keiichiro Nishihara, Yuki Kano, Yuji Owaki, Ryuji Okamoto, Takahisa Fujiwara, Toshihiro Takamatsu, Masayuki Yamada, Yutaka Tomioka, Nobuyoshi Takeshita, Atsushi Inaba, Hironori Sunakawa, Keiichiro Nakajo, Tatsuro Murano, Tomohiro Kadota, Kensuke Shinmura, Yoshikatsu Koga, Tomonori Yano\",\"doi\":\"10.1007/s00535-024-02163-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Fecal immunochemical tests are commonly performed for colorectal cancer screening. Instant fecal occult blood measurement in toilet bowel movements would improve convenience. Hyperspectral imaging (HSI) enables the nondestructive evaluation of materials that are difficult to assess visually. This study aimed to determine whether HSI could be used to identify fecal occult blood on stool surfaces.</p><p><strong>Methods: </strong>The study included 100 patients who underwent colonoscopy, divided into groups A and B (50 patients, each) for creating a discriminant algorithm and validating the accuracy of the algorithm, respectively. In group A, 100 areas were randomly selected from the stool surface, and the fecal occult blood quantitative values were measured and photographed using a hyperspectral camera (cutoff: > 400 ng/mL). A discriminant algorithm image was created to extract spectral feature differences obtained from HSI via machine learning. In group B, 250 random areas were evaluated and compared to fecal occult blood quantitative values, measuring sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).</p><p><strong>Results: </strong>Groups A and B comprised 28 and 26 patients with cancer, respectively. Cancer detection sensitivity at the 400 ng/mL cutoff was 67.9% and 42.3% in groups A and B, respectively. The discriminant algorithm image exhibited high accuracy in group A (sensitivity; 77.1%, specificity; 96.9%, accuracy; 90.0%, PPV; 93.1%, NPV; 88.7%). In group B, the sensitivity, specificity, accuracy, PPV, and NPV were 83.3, 92.9, 90.8, 76.3, and 95.3%, respectively.</p><p><strong>Conclusion: </strong>HSI can effectively discriminate high quantitative fecal occult blood, highlighting its potential for improved colorectal cancer screening.</p>\",\"PeriodicalId\":16059,\"journal\":{\"name\":\"Journal of Gastroenterology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Gastroenterology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00535-024-02163-2\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00535-024-02163-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:粪便免疫化学检验是筛查结肠直肠癌的常用方法。在厕所排便时即时测量粪便隐血可提高便利性。高光谱成像(HSI)可对难以用肉眼评估的材料进行无损评估。本研究旨在确定高光谱成像是否可用于识别粪便表面的粪便隐血:研究包括 100 名接受结肠镜检查的患者,分为 A 组和 B 组(各 50 名患者),分别用于创建判别算法和验证算法的准确性。A 组从粪便表面随机选取 100 个区域,使用高光谱相机测量粪便潜血定量值并拍照(临界值:> 400 ng/mL)。创建判别算法图像,通过机器学习提取从高光谱仪获得的光谱特征差异。在 B 组中,对 250 个随机区域进行评估,并与粪便潜血定量值进行比较,测量敏感性、特异性、准确性、阳性预测值 (PPV) 和阴性预测值 (NPV):结果:A 组和 B 组分别有 28 名和 26 名癌症患者。A 组和 B 组在 400 纳克/毫升临界值时的癌症检测灵敏度分别为 67.9% 和 42.3%。判别算法图像在 A 组显示出较高的准确性(灵敏度 77.1%,特异性 96.9%,准确性 90.0%,PPV 93.1%,NPV 88.7%)。B 组的灵敏度、特异性、准确性、PPV 和 NPV 分别为 83.3%、92.9%、90.8%、76.3% 和 95.3%:结论:HSI 能有效鉴别高定量粪便潜血,在改进大肠癌筛查方面具有重要潜力。
Possibility of determining high quantitative fecal occult blood on stool surface using hyperspectral imaging.
Background: Fecal immunochemical tests are commonly performed for colorectal cancer screening. Instant fecal occult blood measurement in toilet bowel movements would improve convenience. Hyperspectral imaging (HSI) enables the nondestructive evaluation of materials that are difficult to assess visually. This study aimed to determine whether HSI could be used to identify fecal occult blood on stool surfaces.
Methods: The study included 100 patients who underwent colonoscopy, divided into groups A and B (50 patients, each) for creating a discriminant algorithm and validating the accuracy of the algorithm, respectively. In group A, 100 areas were randomly selected from the stool surface, and the fecal occult blood quantitative values were measured and photographed using a hyperspectral camera (cutoff: > 400 ng/mL). A discriminant algorithm image was created to extract spectral feature differences obtained from HSI via machine learning. In group B, 250 random areas were evaluated and compared to fecal occult blood quantitative values, measuring sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).
Results: Groups A and B comprised 28 and 26 patients with cancer, respectively. Cancer detection sensitivity at the 400 ng/mL cutoff was 67.9% and 42.3% in groups A and B, respectively. The discriminant algorithm image exhibited high accuracy in group A (sensitivity; 77.1%, specificity; 96.9%, accuracy; 90.0%, PPV; 93.1%, NPV; 88.7%). In group B, the sensitivity, specificity, accuracy, PPV, and NPV were 83.3, 92.9, 90.8, 76.3, and 95.3%, respectively.
Conclusion: HSI can effectively discriminate high quantitative fecal occult blood, highlighting its potential for improved colorectal cancer screening.
期刊介绍:
The Journal of Gastroenterology, which is the official publication of the Japanese Society of Gastroenterology, publishes Original Articles (Alimentary Tract/Liver, Pancreas, and Biliary Tract), Review Articles, Letters to the Editors and other articles on all aspects of the field of gastroenterology. Significant contributions relating to basic research, theory, and practice are welcomed. These publications are designed to disseminate knowledge in this field to a worldwide audience, and accordingly, its editorial board has an international membership.