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Melanoma and artificial intelligence

S Trebeschi, S G Drago, N J Birkbak, I Kurilova, A M Cǎlin, A Delli Pizzi, F Lalezari, D M J Lambregts, M Rohaan, C Parmar, K J Hartemink, C Swanton, J B A G Haanen, C U Blank, E F Smit, R G H Beets-Tan, H J W L Aerts
INTRODUCTION: Immunotherapy is regarded one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds - urging the quest for predictive biomarkers. We hypothesize that Artificial Intelligence (AI) algorithms can automatically quantify radiographic characteristics that are related to and may therefore act as non-invasive radiomic biomarkers for immunotherapy response. PATIENTS AND METHODS: In this study, we analyzed 1055 primary and metastatic lesions from 203 patients with advanced melanoma and non-small cell lung cancer (NSCLC) undergoing anti-PD1 therapy...
March 21, 2019: Annals of Oncology: Official Journal of the European Society for Medical Oncology
Titus J Brinker, Achim Hekler, Axel Hauschild, Carola Berking, Bastian Schilling, Alexander H Enk, Sebastian Haferkamp, Ante Karoglan, Christof von Kalle, Michael Weichenthal, Elke Sattler, Dirk Schadendorf, Maria R Gaiser, Joachim Klode, Jochen S Utikal
BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comparability of the performance of these algorithms and thereby the technical progress in this field. METHODS: An electronic questionnaire was sent to dermatologists at 12 German university hospitals. Each questionnaire comprised 100 dermoscopic and 100 clinical images (80 nevi images and 20 biopsy-verified melanoma images, each), all open-source...
February 22, 2019: European Journal of Cancer
Anna-Marie Hosking, Brandon J Coakley, Dorothy Chang, Faezeh Talebi-Liasi, Samantha Lish, Sung Won Lee, Amanda M Zong, Ian Moore, James Browning, Steven L Jacques, James G Krueger, Kristen M Kelly, Kenneth G Linden, Daniel S Gareau
OBJECTIVES: Early melanoma detection decreases morbidity and mortality. Early detection classically involves dermoscopy to identify suspicious lesions for which biopsy is indicated. Biopsy and histological examination then diagnose benign nevi, atypical nevi, or cancerous growths. With current methods, a considerable number of unnecessary biopsies are performed as only 11% of all biopsied, suspicious lesions are actually melanomas. Thus, there is a need for more advanced noninvasive diagnostics to guide the decision of whether or not to biopsy...
January 17, 2019: Lasers in Surgery and Medicine
Lavinia Ferrante di Ruffano, Yemisi Takwoingi, Jacqueline Dinnes, Naomi Chuchu, Susan E Bayliss, Clare Davenport, Rubeta N Matin, Kathie Godfrey, Colette O'Sullivan, Abha Gulati, Sue Ann Chan, Alana Durack, Susan O'Connell, Matthew D Gardiner, Jeffrey Bamber, Jonathan J Deeks, Hywel C Williams
BACKGROUND: Early accurate detection of all skin cancer types is essential to guide appropriate management and to improve morbidity and survival. Melanoma and cutaneous squamous cell carcinoma (cSCC) are high-risk skin cancers which have the potential to metastasise and ultimately lead to death, whereas basal cell carcinoma (BCC) is usually localised with potential to infiltrate and damage surrounding tissue. Anxiety around missing early curable cases needs to be balanced against inappropriate referral and unnecessary excision of benign lesions...
December 4, 2018: Cochrane Database of Systematic Reviews
Naomi Chuchu, Yemisi Takwoingi, Jacqueline Dinnes, Rubeta N Matin, Oliver Bassett, Jacqueline F Moreau, Susan E Bayliss, Clare Davenport, Kathie Godfrey, Susan O'Connell, Abhilash Jain, Fiona M Walter, Jonathan J Deeks, Hywel C Williams
BACKGROUND: Melanoma accounts for a small proportion of all skin cancer cases but is responsible for most skin cancer-related deaths. Early detection and treatment can improve survival. Smartphone applications are readily accessible and potentially offer an instant risk assessment of the likelihood of malignancy so that the right people seek further medical attention from a clinician for more detailed assessment of the lesion. There is, however, a risk that melanomas will be missed and treatment delayed if the application reassures the user that their lesion is low risk...
December 4, 2018: Cochrane Database of Systematic Reviews
Tracy Petrie, Ravikant Samatham, Alexander M Witkowski, Andre Esteva, Sancy A Leachman
Innovative technologies, including novel communication and imaging tools, are affecting dermatology in profound ways. A burning question for the field is whether we will retrospectively react to innovations or proactively leverage them to benefit precision medicine. Early detection of melanoma is a dermatologic area particularly poised to benefit from such innovation. This session of the Montagna Symposium on Biology of Skin focused on provocative, potentially disruptive advances, including crowdsourcing of patient advocacy efforts, rigorous experimental design of public education campaigns, research with mobile phone applications, advanced skin imaging technologies, and the emergence of artificial intelligence as a diagnostic supplement...
January 2019: Journal of Investigative Dermatology
Aimilios Lallas, Giuseppe Argenziano
No abstract text is available yet for this article.
October 2018: Dermatology Practical & Conceptual
Qiao Yang, Zihan Xu, Linpeng Zheng, Luping Zhang, Qiai You, Jianguo Sun
Immune checkpoint inhibitor (ICI) therapy had achieved significant clinical benefit in multiple malignant solid tumors, such as non-small cell lung cancer, melanoma and urothelial cancer. ICI therapy not only revolutionarily altered the treatment strategy of malignant solid tumors, but also dramatically prolonged overall survival. However, the objective response rate (ORR) of ICI therapy in second line treatment remains 20% or less. How to find patients eligible for ICI therapy by effective biomarkers became hot nowadays...
2018: American Journal of Cancer Research
Henry T Marshall, Mustafa B A Djamgoz
Host immunity recognizes and eliminates most early tumor cells, yet immunological checkpoints, exemplified by CTLA-4, PD-1, and PD-L1, pose a significant obstacle to effective antitumor immune responses. T-lymphocyte co-inhibitory pathways influence intensity, inflammation and duration of antitumor immunity. However, tumors and their immunosuppressive microenvironments exploit them to evade immune destruction. Recent PD-1 checkpoint inhibitors yielded unprecedented efficacies and durable responses across advanced-stage melanoma, showcasing potential to replace conventional radiotherapy regimens...
2018: Frontiers in Oncology
Dawid Połap, Alicja Winnicka, Kalina Serwata, Karolina Kęsik, Marcin Woźniak
The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development...
August 4, 2018: Sensors
Paola Corneli, Iris Zalaudek, Giovanni Magaton Rizzi, Nicola di Meo
Cutaneous melanoma is the sixth most common malignant cancer in the USA. Among different subtypes of melanoma, nodular melanoma (NM) accounts about 14% of all cases but is responsible for more than 40% of melanoma deaths. Early diagnosis is the best method to improve melanoma prognosis. Unfortunately, early diagnosis of NM is particularly challenging given that patients often lack identifiable risk factors such as many moles or freckles. Moreover, early NM may mimic a range of benign skin lesions that are not routinely excised or biopsied in every day practice...
October 2018: Expert Review of Anticancer Therapy
V J Mar, H P Soyer
No abstract text is available yet for this article.
August 1, 2018: Annals of Oncology: Official Journal of the European Society for Medical Oncology
V J Mar, H P Soyer
No abstract text is available yet for this article.
May 22, 2018: Annals of Oncology: Official Journal of the European Society for Medical Oncology
C Lebbé
This 'What's new in oncodermatology?' addresses the developments in 2017 on the epidemiology and management of skin cancers. We observe a constant increase in carcinomas, risk factors for squamous cell carcinoma, especially in transplant recipients where skin cancer mortality is important. Among epidemiological developments in melanoma are increased mortality despite screening, occupational exposure to UV, second melanoma and higher risk after carcinoma. New classifications that should be considered are AJCC8 for melanoma and carcinoma...
December 2017: Annales de Dermatologie et de Vénéréologie
V Chaussade
This "What's new in instrumental dermatology" dedicated skin surgeryis based upon a 2015-2017 literature analysis. The excision of skin cancers is an important part of surgical dermatology. Will artificial intelligence and new drug be able to face the increasing need for therapy? Wrong-site surgery is due to multiple factors. Photographs of biopsy site and short time between biopsy and surgery decrease postponement of surgery and wrong-site surgery. Noninvasive imaging technologies are improving and help to delineate skin tumors and increase the probability of complete tumor removal...
December 2017: Annales de Dermatologie et de Vénéréologie
Julien Schmidt, Philippe Guillaume, Danijel Dojcinovic, Julia Karbach, George Coukos, Immanuel Luescher
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-specific T cells often are tumoricidal. However, identifying tumor-specific T-cell epitopes is a major challenge. A widely used strategy relies on initial prediction of human leukocyte antigen-binding peptides by in silico algorithms, but the predictive power of this approach is unclear...
July 14, 2017: Journal of Biological Chemistry
Joanna Jaworek-Korjakowska, Paweł Kłeczek
BACKGROUND: Given its propensity to metastasize, and lack of effective therapies for most patients with advanced disease, early detection of melanoma is a clinical imperative. Different computer-aided diagnosis (CAD) systems have been proposed to increase the specificity and sensitivity of melanoma detection. Although such computer programs are developed for different diagnostic algorithms, to the best of our knowledge, a system to classify different melanocytic lesions has not been proposed yet...
2016: BioMed Research International
Saurabh Vyas, Jon Meyerle, Philippe Burlina
BACKGROUND: The skin is the largest organ and is subject to the greatest exposure to outside elements throughout one׳s lifetime. Current data by the American Academy of Dermatology suggests that approximately ten people die each hour worldwide due to skin related conditions. Cancers such as melanoma are growths that originate in the epidermis. Therefore, an accurate and non-invasive method to estimate skin constitutive elements can play an important clinical role in detecting the early onset of skin tumors...
February 2015: Computers in Biology and Medicine
Federica Bogo, Javier Romero, Enoch Peserico, Michael J Black
Detection of new or rapidly evolving melanocytic lesions is crucial for early diagnosis and treatment of melanoma. We propose a fully automated pre-screening system for detecting new lesions or changes in existing ones, on the order of 2 - 3mm, over almost the entire body surface. Our solution is based on a multi-camera 3D stereo system. The system captures 3D textured scans of a subject at different times and then brings these scans into correspondence by aligning them with a learned, parametric, non-rigid 3D body model...
2014: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
Lin Li, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce H Thiers, James Z Wang
BACKGROUND: Early and accurate diagnosis of melanoma, the deadliest type of skin cancer, has the potential to reduce morbidity and mortality rate. However, early diagnosis of melanoma is not trivial even for experienced dermatologists, as it needs sampling and laboratory tests which can be extremely complex and subjective. The accuracy of clinical diagnosis of melanoma is also an issue especially in distinguishing between melanoma and mole. To solve these problems, this paper presents an approach that makes non-subjective judgements based on quantitative measures for automatic diagnosis of melanoma...
October 13, 2014: BMC Medical Imaging
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