Mina Bakhtiar, Zezhong Ye, Jonathan D Schoenfeld, Homan Mohammadi, Jeffrey P Guenette, Eleni M Rettig, Glenn J Hanna, Benjamin H Kann
{"title":"人工智能测量人乳头瘤病毒相关口咽癌肿瘤负荷和治疗前循环肿瘤DNA。","authors":"Mina Bakhtiar, Zezhong Ye, Jonathan D Schoenfeld, Homan Mohammadi, Jeffrey P Guenette, Eleni M Rettig, Glenn J Hanna, Benjamin H Kann","doi":"10.1002/hed.28180","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA (ctDNA) are both being used diagnostically in HPV-driven oropharynx squamous cell carcinoma (HPV-OPSCC). We evaluated associations between AI-measured tumor burden and ctDNA.</p><p><strong>Methods: </strong>We analyzed 170 patients treated definitively for HPV-OPSCC. All had pre-treatment serum tumor-tissue modified viral (TTMV) ctDNA levels. An AI algorithm measured tumor and lymph nodes on CT scans. Linear regressions detected associations between ctDNA (fragments/mL) and automated volumes, clinical tumor (T) and nodal (N) stage, and disease factors.</p><p><strong>Results: </strong>Automated tumor volume (coeff = 39.43, p < 0.001), nodal volume (coeff = 39.54, p < 0.001), T stage (coeff = 1031.09, p = 0.009), and N stage (coeff = 1840, p = 0.018) were associated with ctDNA. On multivariable analysis, tumor (coeff = 34.79, p = 0.001) and nodal volumes (coeff = 24.68, p = 0.022) were associated with ctDNA; T and N stage were not.</p><p><strong>Conclusions: </strong>Automated volumetrics are independently and more strongly associated with ctDNA, compared with clinical stage. Automated volumetrics provide a practical correlate to ctDNA.</p>","PeriodicalId":55072,"journal":{"name":"Head and Neck-Journal for the Sciences and Specialties of the Head and Neck","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Measured Tumor Burden and Pre-Treatment Circulating Tumor DNA in Human Papilloma Virus-Associated Oropharynx Cancer.\",\"authors\":\"Mina Bakhtiar, Zezhong Ye, Jonathan D Schoenfeld, Homan Mohammadi, Jeffrey P Guenette, Eleni M Rettig, Glenn J Hanna, Benjamin H Kann\",\"doi\":\"10.1002/hed.28180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA (ctDNA) are both being used diagnostically in HPV-driven oropharynx squamous cell carcinoma (HPV-OPSCC). We evaluated associations between AI-measured tumor burden and ctDNA.</p><p><strong>Methods: </strong>We analyzed 170 patients treated definitively for HPV-OPSCC. All had pre-treatment serum tumor-tissue modified viral (TTMV) ctDNA levels. An AI algorithm measured tumor and lymph nodes on CT scans. Linear regressions detected associations between ctDNA (fragments/mL) and automated volumes, clinical tumor (T) and nodal (N) stage, and disease factors.</p><p><strong>Results: </strong>Automated tumor volume (coeff = 39.43, p < 0.001), nodal volume (coeff = 39.54, p < 0.001), T stage (coeff = 1031.09, p = 0.009), and N stage (coeff = 1840, p = 0.018) were associated with ctDNA. On multivariable analysis, tumor (coeff = 34.79, p = 0.001) and nodal volumes (coeff = 24.68, p = 0.022) were associated with ctDNA; T and N stage were not.</p><p><strong>Conclusions: </strong>Automated volumetrics are independently and more strongly associated with ctDNA, compared with clinical stage. Automated volumetrics provide a practical correlate to ctDNA.</p>\",\"PeriodicalId\":55072,\"journal\":{\"name\":\"Head and Neck-Journal for the Sciences and Specialties of the Head and Neck\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Head and Neck-Journal for the Sciences and Specialties of the Head and Neck\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/hed.28180\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OTORHINOLARYNGOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Head and Neck-Journal for the Sciences and Specialties of the Head and Neck","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/hed.28180","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OTORHINOLARYNGOLOGY","Score":null,"Total":0}
Artificial Intelligence Measured Tumor Burden and Pre-Treatment Circulating Tumor DNA in Human Papilloma Virus-Associated Oropharynx Cancer.
Background: Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA (ctDNA) are both being used diagnostically in HPV-driven oropharynx squamous cell carcinoma (HPV-OPSCC). We evaluated associations between AI-measured tumor burden and ctDNA.
Methods: We analyzed 170 patients treated definitively for HPV-OPSCC. All had pre-treatment serum tumor-tissue modified viral (TTMV) ctDNA levels. An AI algorithm measured tumor and lymph nodes on CT scans. Linear regressions detected associations between ctDNA (fragments/mL) and automated volumes, clinical tumor (T) and nodal (N) stage, and disease factors.
Results: Automated tumor volume (coeff = 39.43, p < 0.001), nodal volume (coeff = 39.54, p < 0.001), T stage (coeff = 1031.09, p = 0.009), and N stage (coeff = 1840, p = 0.018) were associated with ctDNA. On multivariable analysis, tumor (coeff = 34.79, p = 0.001) and nodal volumes (coeff = 24.68, p = 0.022) were associated with ctDNA; T and N stage were not.
Conclusions: Automated volumetrics are independently and more strongly associated with ctDNA, compared with clinical stage. Automated volumetrics provide a practical correlate to ctDNA.
期刊介绍：
Head & Neck is an international multidisciplinary publication of original contributions concerning the diagnosis and management of diseases of the head and neck. This area involves the overlapping interests and expertise of several surgical and medical specialties, including general surgery, neurosurgery, otolaryngology, plastic surgery, oral surgery, dermatology, ophthalmology, pathology, radiotherapy, medical oncology, and the corresponding basic sciences.
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