[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-375664-105":59,"doc-detail-375664-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","where-artificial-intelligence-can-take-us-in-the-management-and-understanding-of-cancerization-fields-opinion","Where Artificial Intelligence Can Take Us in the Management and Understanding of Cancerization Fields - Opinion","","Squamous cell carcinoma and its precursor actinic keratosis commonly coexist in chronically sun-exposed “cancerization fields,” where clinicians face difficult assessment and lesion discrimination. Recent non-invasive diagnostic skin imaging, especially LC-OCT, can support guidance of treatment decisions. This review evaluates earlier applications of artificial intelligence to dermatological images for AK/SCC diagnosis and discusses future AI opportunities for characterizing and managing cancerization fields, including risk prediction and mechanism understanding.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/where-artificial-intelligence-can-take-us-in-the-management-and-understanding-of-cancerization-fields-opinion/375664/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/where-artificial-intelligence-can-take-us-in-the-management-and-understanding-of-cancerization-fields-opinion/375664.png","ImageObject",300,407,{"name":92,"@type":93},"Ezra","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What are cancerization fields in dermatology?","Question",{"text":112,"@type":113},"Cancerization fields are areas of skin chronically exposed to ultraviolet radiation where subclinical damage, actinic keratosis, and early squamous cell carcinomas can coexist.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why is diagnosing lesions in cancerization fields challenging?",{"text":117,"@type":113},"Even expert clinicians may find these fields difficult to characterize because clinical assessment can be hard and subjective, and multiple lesion stages may coexist.",{"name":119,"@type":110,"acceptedAnswer":120},"How can AI and non-invasive imaging help in this setting?",{"text":121,"@type":113},"Non-invasive imaging techniques such as LC-OCT can help guide treatment decisions, while artificial intelligence may predict malignant transformation risk, support diagnosis, and help elucidate underlying mechanisms in cancerization fields.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},375664,1790240223,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":46},1099514068035,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","cancers   \nOpinion  \nWhere Artificial Intelligence Can Take Us in the Management and Understanding of Cancerization Fields  \nCarmen Orte Cano 1,2, *, Mariano Suppa 1,2,3 and V²ronique del Marmol 1,2  \nCitation: Orte Cano, C.; Suppa, M.; del Marmol, V. Where Artificial Intelligence Can Take Us in the Management and Understanding of Cancerization Fields. Cancers 2023, 15, 5264. [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)cancers15215264  \nAcademic Editor: Lise Mette Rahbek Gjerdrum  \nReceived: 14 August 2023  \nRevised: 22 September 2023  \nAccepted: 27 September 2023  \nPublished: 2 November 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 Department of Dermatology, Hæpital Erasme, HUB, Universit² Libre de Bruxelles, 808 Route de Lennik, 1070 Brussels, Belgium  \n2 Department of Dermato-Oncology, Institut Jules Bordet, HUB, Universit² Libre de Bruxelles, 1070 Brussels, Belgium  \n3 Groupe d'Imagerie Cutan²e Non Invasive (GICNI), Soci²t² Française de Dermatologie (SFD),  \n75008 Paris, France  \n* Correspondence: corte@ucm.es; Tel.: +32-2-555-46-12  \nSimple Summary: Squamous cell carcinoma (SCC) is most often preceded by a lesion called actinic keratosis (AK) and is largely due to ultra-violet radiation exposure. Usually, these cancers appear in areas that have been `damaged' by the sun, otherwise known as `cancerization fields', where sub-clinical (invisible to the naked eye), precursor (AK) and cancerous (SCC) lesions coexist. For clinicians, differentiating between the three is not always easy. To facilitate these diagnoses, we dispose now of non-invasive skin imaging techniques that are comparable to a virtual biopsy. The very recent introduction of artificial intelligence could enable us to broaden the application of these technologies when applied to cancerization fields, predicting the risk of malignant transformation of precancerous lesions, guiding treatments and better understanding the mechanisms behind.  \nAbstract: Squamous cell carcinoma and its precursor lesion actinic keratosis are often found together in areas of skin chronically exposed to sun, otherwise called cancerisation fields. The clinical assessment of cancerisation fields and the correct diagnosis of lesions within these fields is usually challenging for dermatologists. The recent adoption of skin cancer diagnostic imaging techniques, particularly LC-OCT, helps clinicians in guiding treatment decisions of cancerization fields in anon-invasive way. The combination of artificial intelligence and non-invasive skin imaging opens up many possibilities as AI can perform tasks impossible for humans in a reasonable amount of time. In this text we review past examples of the application of AI to dermatological images for actinic keratosis/squamous cell carcinoma diagnosis, and we discuss about the prospects of the application of AI for the characterization and management of cancerization fields.  \nKeywords: cancerization field; actinic keratosis; squamous cell carcinoma; non-invasive imaging; line-field confocal optical coherence tomography; LC-OCT; artificial intelligence  \n1. Introduction  \nSquamous cell carcinoma (SCC) of the skin is often preceded, or at least accompanied in close vicinity, by the precursor lesion actinic keratosis (AK) . These cancers result from the malignant transformation of squamous cells within the epidermis, usually as a result of exposure to oncogenic ultraviolet radiation (UVR) . In daily practice, clinicians are often confronted with not only solitary lesions but also areas of sun-damaged skin where clinical (AK and SCC) and subclinical damage coexist, otherwise known as cancerization fields (Figure 1) .","cbCairihSrye38r6","https://ap.wps.com/l/cbCairihSrye38r6","pdf",3207846,"English","# Introduction\n## Cancerization Field: Definition, Controversies and Challenges","[{\"question\":\"What are cancerization fields in dermatology?\",\"answer\":\"Cancerization fields are areas of skin chronically exposed to ultraviolet radiation where subclinical damage, actinic keratosis, and early squamous cell carcinomas can coexist.\"},{\"question\":\"Why is diagnosing lesions in cancerization fields challenging?\",\"answer\":\"Even expert clinicians may find these fields difficult to characterize because clinical assessment can be hard and subjective, and multiple lesion stages may coexist.\"},{\"question\":\"How can AI and non-invasive imaging help in this setting?\",\"answer\":\"Non-invasive imaging techniques such as LC-OCT can help guide treatment decisions, while artificial intelligence may predict malignant transformation risk, support diagnosis, and help elucidate underlying mechanisms in cancerization fields.\"}]","Where Artificial Intelligence Can Take Us in the Management and Understanding of Cancerization Fields - Opinion | PDF",1790215701]