{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T18:55:38Z","timestamp":1790103338445,"version":"4.0.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Arch Dermatol Res"],"DOI":"10.1007\/s00403-024-03166-y","type":"journal-article","created":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T12:01:52Z","timestamp":1718452912000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Is thermography an effective screening tool for differentiating benign and malignant skin lesions in the head and neck? A systematic review"],"prefix":"10.1007","volume":"316","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6721-0745","authenticated-orcid":false,"given":"Diego Filipe Bezerra","family":"Silva","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5581-0658","authenticated-orcid":false,"given":"Ramon Targino","family":"Firmino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3107-5430","authenticated-orcid":false,"given":"Ana Paula Piovezan","family":"Fugolin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2299-5769","authenticated-orcid":false,"given":"Saulo L. Sousa","family":"Melo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8369-0064","authenticated-orcid":false,"given":"Marina Tavares Costa","family":"N\u00f3brega","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6477-6997","authenticated-orcid":false,"given":"Daniela Pita","family":"de Melo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,15]]},"reference":[{"key":"3166_CR1","doi-asserted-by":"publisher","first-page":"1314","DOI":"10.3390\/diagnostics13071314","volume":"13","author":"F Olayah","year":"2023","unstructured":"Olayah F, Senan EM, Ahmed IA, Awaji B (2023) AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features. Diagnostics (Basel) 13:1314. https:\/\/doi.org\/10.3390\/diagnostics13071314","journal-title":"Diagnostics (Basel)"},{"key":"3166_CR2","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.eswa.2016.05.017","volume":"61","author":"RB Oliveira","year":"2016","unstructured":"Oliveira RB, Marranghello N, Pereira AS, Tavares JMRS (2016) A computational approach for detecting pigmented skin lesions in macroscopic images. Expert Syst Appl 61:53\u201363. https:\/\/doi.org\/10.1016\/j.eswa.2016.05.017","journal-title":"Expert Syst Appl"},{"key":"3166_CR3","doi-asserted-by":"publisher","first-page":"159","DOI":"10.4103\/0974-2077.101368","volume":"5","author":"S Khandpur","year":"2012","unstructured":"Khandpur S, Ramam M (2012) Skin tumours. J Cutan Aesthet Surg 5:159\u2013162. https:\/\/doi.org\/10.4103\/0974-2077.101368","journal-title":"J Cutan Aesthet Surg"},{"key":"3166_CR4","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/s40477-019-00379-0","volume":"22","author":"O Catalano","year":"2019","unstructured":"Catalano O, Rold\u00e1n FA, Varelli C, Bard R, Corvino A, Wortsman X (2019) Skin cancer: findings and role of high-resolution ultrasound. J Ultrasound 22:423\u2013431. https:\/\/doi.org\/10.1007\/s40477-019-00379-0","journal-title":"J Ultrasound"},{"key":"3166_CR5","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1002\/(sici)1097-0215(19981123)78:5<587::aid-ijc10>3.0.co;2-e","volume":"78","author":"PG Buettner","year":"1998","unstructured":"Buettner PG, Raasch BA (1998) Incidence rates of skin cancer in Townsville, Australia. Int J Cancer 78:587\u2013593. https:\/\/doi.org\/10.1002\/(sici)1097-0215(19981123)78:5%3C587::aid-ijc10%3E3.0.co;2-e","journal-title":"Int J Cancer"},{"key":"3166_CR6","doi-asserted-by":"publisher","first-page":"5479","DOI":"10.3390\/ijerph18105479","volume":"18","author":"M Dildar","year":"2021","unstructured":"Dildar M, Akram S, Irfan M, Khan HU, Ramzan M, Mahmood AR et al (2021) Skin cancer detection: a review using deep learning techniques. Int J Environ Res Public Health 18:5479. https:\/\/doi.org\/10.3390\/ijerph18105479","journal-title":"Int J Environ Res Public Health"},{"key":"3166_CR7","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71:209\u2013249. https:\/\/doi.org\/10.3322\/caac.21660","journal-title":"CA Cancer J Clin"},{"key":"3166_CR8","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/JBHI.2018.2825251","volume":"23","author":"F Navarro","year":"2019","unstructured":"Navarro F, Escudero-Vinolo M, Bescos J (2019) Accurate segmentation and registration of skin lesion images to evaluate lesion change. IEEE J Biomed Health Inf 23:501\u2013508. https:\/\/doi.org\/10.1109\/JBHI.2018.2825251","journal-title":"IEEE J Biomed Health Inf"},{"key":"3166_CR9","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1111\/jocd.14547","volume":"21","author":"YS Pathania","year":"2022","unstructured":"Pathania YS, Apalla Z, Salerni G, Patil A, Grabbe S, Goldust M (2022) Non-invasive diagnostic techniques in pigmentary skin disorders and skin cancer. J Cosmet Dermatol 21:444\u2013450. https:\/\/doi.org\/10.1111\/jocd.14547","journal-title":"J Cosmet Dermatol"},{"key":"3166_CR10","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1111\/srt.12469","volume":"24","author":"C Magalhaes","year":"2018","unstructured":"Magalhaes C, Vardasca R, Mendes (2018) Recent use of medical infrared thermography in skin neoplasms. Skin Res Technol 24:587\u2013591. https:\/\/doi.org\/10.1111\/srt.12469","journal-title":"Skin Res Technol"},{"key":"3166_CR11","doi-asserted-by":"publisher","first-page":"2301","DOI":"10.1364\/BOE.8.002301","volume":"8","author":"SE Godoy","year":"2017","unstructured":"Godoy SE, Hayat MM, Ramirez DA, Myers SA, Padilla RS, Krishna S (2017) Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging. Biomed Opt Express 8:2301\u20132323. https:\/\/doi.org\/10.1364\/BOE.8.002301","journal-title":"Biomed Opt Express"},{"key":"3166_CR12","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/s10916-020-01581-y","volume":"44","author":"A Hakim","year":"2020","unstructured":"Hakim A, Awale RN (2020) Thermal imaging - an emerging modality for breast cancer detection: a comprehensive review. J Med Syst 44:136. https:\/\/doi.org\/10.1007\/s10916-020-01581-y","journal-title":"J Med Syst"},{"key":"3166_CR13","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71. https:\/\/doi.org\/10.1136\/bmj.n71","journal-title":"BMJ"},{"key":"3166_CR14","doi-asserted-by":"publisher","first-page":"529","DOI":"10.7326\/0003-4819-155-8-201110180-00009","volume":"155","author":"PF Whiting","year":"2011","unstructured":"Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, Leeflang MM, Sterne JA, Bossuyt PM, QUADAS-2 Group (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529\u2013536. https:\/\/doi.org\/10.7326\/0003-4819-155-8-201110180-00009","journal-title":"Ann Intern Med"},{"key":"3166_CR15","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/j.jclinepi.2010.04.026","volume":"64","author":"G Guyatt","year":"2011","unstructured":"Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J et al (2011) GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol 64:383\u2013394. https:\/\/doi.org\/10.1016\/j.jclinepi.2010.04.026","journal-title":"J Clin Epidemiol"},{"key":"3166_CR16","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.jclinepi.2010.09.012","volume":"64","author":"GH Guyatt","year":"2011","unstructured":"Guyatt GH, Oxman AD, Kunz R, Atkins D, Brozek J, Vist G et al (2011) GRADE guidelines: 2. Framing the question and deciding on important outcomes. J Clin Epidemiol 64:395\u2013400. https:\/\/doi.org\/10.1016\/j.jclinepi.2010.09.012","journal-title":"J Clin Epidemiol"},{"key":"3166_CR17","doi-asserted-by":"publisher","first-page":"044701","DOI":"10.1063\/1.5036640","volume":"124","author":"MD Stringasci","year":"2018","unstructured":"Stringasci MD, Salvio AG, Sbrissa Neto D, Vollet-Filho JD, Bagnato VS, Kurachi C (2018) Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier. J Appl Phys 124:044701. https:\/\/doi.org\/10.1063\/1.5036640","journal-title":"J Appl Phys"},{"key":"3166_CR18","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.infrared.2014.09.017","volume":"70","author":"SE Godoy","year":"2015","unstructured":"Godoy SE, Ramirez DA, Myers SA, von Winckel G, Krishna S, Berwick M, Steven Padilla R, Sen P, Krishna S (2015) Dynamic infrared imaging for skin cancer screening. Infrared Phys Technol 70:147\u2013152. https:\/\/doi.org\/10.1016\/j.infrared.2014.09.017","journal-title":"Infrared Phys Technol"},{"key":"3166_CR19","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.cps.2011.03.013","volume":"38","author":"L de Weerd","year":"2011","unstructured":"de Weerd L, Mercer JB, Weum S (2011) Dynamic infrared thermography. Clin Plast Surg 38:277\u2013292. https:\/\/doi.org\/10.1016\/j.cps.2011.03.013","journal-title":"Clin Plast Surg"},{"key":"3166_CR20","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1186\/s12938-022-01009-3","volume":"21","author":"VMB de Camargo","year":"2022","unstructured":"de Camargo VMB, Ulbricht L, Coninck JCP, Ripka WL, Gamba HR (2022) Thermography as an aid for the complementary diagnosis of nodules in the thyroid gland. Biomed Eng Online 21:41. https:\/\/doi.org\/10.1186\/s12938-022-01009-3","journal-title":"Biomed Eng Online"},{"key":"3166_CR21","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1080\/03091900600711332","volume":"30","author":"EF Ring","year":"2006","unstructured":"Ring EF (2006) The historical development of thermometry and thermal imaging in medicine. J Med Eng Technol 30:192\u2013198. https:\/\/doi.org\/10.1080\/03091900600711332","journal-title":"J Med Eng Technol"},{"key":"3166_CR22","doi-asserted-by":"publisher","first-page":"e0241843","DOI":"10.1371\/journal.pone.0241843","volume":"15","author":"M Charlton","year":"2020","unstructured":"Charlton M, Stanley SA, Whitman Z, Wenn V, Coats TJ, Sims M, Thompson JP (2020) The effect of constitutive pigmentation on the measured emissivity of human skin. PLoS ONE 15:e0241843. https:\/\/doi.org\/10.1371\/journal.pone.0241843","journal-title":"PLoS ONE"},{"key":"3166_CR23","doi-asserted-by":"publisher","first-page":"10105","DOI":"10.3390\/app131810105","volume":"13","author":"J Verstockt","year":"2023","unstructured":"Verstockt J, Thiessen FEF, Hoorens I, Brochez L, Steenackers G (2023) Comparative analysis of cooling methods for dynamic infrared thermography (DIRT)-Based skin cancer diagnosis. Appl Sci 13:10105. https:\/\/doi.org\/10.3390\/app131810105","journal-title":"Appl Sci"},{"key":"3166_CR24","first-page":"88","volume":"22","author":"A Wasilewska","year":"2017","unstructured":"Wasilewska A (2017) Advantages of active over passive thermography in terms of applying in medicine. Aparatura Badawcza i Dydaktyczna 22:88\u201393","journal-title":"Aparatura Badawcza i Dydaktyczna"},{"issue":"Suppl","key":"3166_CR25","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.apradiso.2009.03.093","volume":"67","author":"GA Santa Cruz","year":"2009","unstructured":"Santa Cruz GA, Bertotti J, Mar\u00edn J, Gonz\u00e1lez SJ, Gossio S, Alvarez D et al (2009) Dynamic infrared imaging of cutaneous melanoma and normal skin in patients treated with BNCT. Appl Radiat Isot 67(Suppl):7\u20138. https:\/\/doi.org\/10.1016\/j.apradiso.2009.03.093. S54-8","journal-title":"Appl Radiat Isot"},{"key":"3166_CR26","unstructured":"Str\u0105kowska M, Strzelecki M, Kaszuba A (2014) Novel methodology of medical screening using IR thermography. Signal Processing: Algorithms, architectures, arrangements, and applications (SPA) 172\u2013175. Available in: https:\/\/ieeexplore.ieee.org\/abstract\/document\/7067291"},{"key":"3166_CR27","doi-asserted-by":"publisher","first-page":"1700","DOI":"10.1111\/jdv.15611","volume":"33","author":"C Magalhaes","year":"2019","unstructured":"Magalhaes C, Vardasca R, Rebelo M, Valenca-Filipe R, Ribeiro M, Mendes J (2019) Distinguishing melanocytic nevi from melanomas using static and dynamic infrared thermal imaging. J Eur Acad Dermatol Venereol 33:1700\u20131705. https:\/\/doi.org\/10.1111\/jdv.15611","journal-title":"J Eur Acad Dermatol Venereol"},{"key":"3166_CR28","doi-asserted-by":"publisher","first-page":"1462","DOI":"10.1080\/02656736.2021.1986142","volume":"38","author":"YS Baek","year":"2021","unstructured":"Baek YS, Kim A, Seo JY, Jeon J, Oh CH, Kim J (2021) Dynamic thermal imaging for pigmented basal cell carcinoma and seborrheic keratosis. Int J Hyperth 38:1462\u20131468. https:\/\/doi.org\/10.1080\/02656736.2021.1986142","journal-title":"Int J Hyperth"},{"key":"3166_CR29","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1590\/0100-3984.2014.0111","volume":"49","author":"ML Alves","year":"2016","unstructured":"Alves ML, Gabarra MH (2016) Comparison of power doppler and thermography for the selection of thyroid nodules in which fine-needle aspiration biopsy is indicated. Radiol Bras 49:311\u2013315. https:\/\/doi.org\/10.1590\/0100-3984.2014.0111","journal-title":"Radiol Bras"},{"key":"3166_CR30","doi-asserted-by":"publisher","first-page":"365","DOI":"10.4103\/ijd.IJD_421_20","volume":"65","author":"K Basu","year":"2020","unstructured":"Basu K, Sinha R, Ong A, Basu T (2020) Artificial intelligence: how is it changing medical sciences and its future? Indian J Dermatol 65:365\u2013370. https:\/\/doi.org\/10.4103\/ijd.IJD_421_20","journal-title":"Indian J Dermatol"},{"key":"3166_CR31","doi-asserted-by":"publisher","first-page":"102872","DOI":"10.1016\/j.bspc.2021.102872","volume":"69","author":"C Magalhaes","year":"2021","unstructured":"Magalhaes C, Tavares JMRS, Mendes J, Vardasca R (2021) Comparison of machine learning strategies for infrared thermography of skin cancer. Biomed Signal Process Control 69:102872. https:\/\/doi.org\/10.1016\/j.bspc.2021.102872","journal-title":"Biomed Signal Process Control"},{"key":"3166_CR32","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1080\/03091900600562040","volume":"32","author":"EY Ng","year":"2008","unstructured":"Ng EY, Kee EC (2008) Advanced integrated technique in breast cancer thermography. J Med Eng Technol 32:103\u2013114. https:\/\/doi.org\/10.1080\/03091900600562040","journal-title":"J Med Eng Technol"},{"key":"3166_CR33","doi-asserted-by":"publisher","first-page":"104838","DOI":"10.1016\/j.compbiomed.2021.104838","volume":"137","author":"A Khandakar","year":"2021","unstructured":"Khandakar A, Chowdhury MEH, Ibne Reaz MB, Md Ali SH, Hasan MA, Kiranyaz S, Rahman T, Alfkey R, Bakar AAA, Malik RA (2021) A machine learning model for early detection of diabetic foot using thermogram images. Comput Biol Med 137:104838. https:\/\/doi.org\/10.1016\/j.compbiomed.2021.104838","journal-title":"Comput Biol Med"},{"key":"3166_CR34","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1186\/s12859-023-05446-2","volume":"24","author":"N Zhang","year":"2023","unstructured":"Zhang N, Liu J, Jin Y, Duan W, Wu Z, Cai Z, Wu M (2023) An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. BMC Bioinformatics 24:315. https:\/\/doi.org\/10.1186\/s12859-023-05446-2","journal-title":"BMC Bioinformatics"},{"key":"3166_CR35","doi-asserted-by":"publisher","first-page":"176646","DOI":"10.1109\/ACCESS.2019.2956898","volume":"7","author":"S D\u00edaz","year":"2019","unstructured":"D\u00edaz S, Krohmer T, Moreira A, Godoy SE, Figueroa M (2019) An instrument for accurate and non-invasive screening of skin cancer based on multimodal imaging. IEEE 7:176646\u2013176657. https:\/\/doi.org\/10.1109\/ACCESS.2019.2956898","journal-title":"IEEE"},{"key":"3166_CR36","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1007\/s10147-020-01658-1","volume":"25","author":"A Shimatani","year":"2020","unstructured":"Shimatani A, Hoshi M, Oebisu N, Iwai T, Takada N, Nakamura H (2020) Clinical significance of thermal detection of soft-tissue tumors. Int J Clin Oncol 25:1418\u20131424. https:\/\/doi.org\/10.1007\/s10147-020-01658-1","journal-title":"Int J Clin Oncol"}],"container-title":["Archives of Dermatological Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00403-024-03166-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00403-024-03166-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00403-024-03166-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:34:18Z","timestamp":1725914058000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00403-024-03166-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,15]]},"references-count":36,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,9]]}},"alternative-id":["3166"],"URL":"https:\/\/doi.org\/10.1007\/s00403-024-03166-y","relation":{},"ISSN":["1432-069X"],"issn-type":[{"value":"1432-069X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,15]]},"assertion":[{"value":"24 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"404"}}