Nonmelanoma Cutaneous Malignancies

Gillard, Montgomery; Wang, Timothy S.; Johnson, Timothy M.

doi:10.1007/0-387-31056-8_60

Cited by 4 publications

(4 citation statements)

References 103 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonmelanoma skin cancer (NMSC) is by far the most common malignancy in humans, with an estimated 3,300,000 annual cases in the United States alone [1]. Over 95% of NMSC cases are basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (CSCC) [2], both of which may be readily identified through visual inspection by a skilled dermatologist. However, multiple benign lesions can mimic these cancers, resulting in unnecessary morbidity through invasive biopsies and treatments.…”

Section: Introductionmentioning

confidence: 99%

Automated detection of nonmelanoma skin cancer using digital images: a systematic review

et al. 2019

View full text Add to dashboard Cite

Background Computer-aided diagnosis of skin lesions is a growing area of research, but its application to nonmelanoma skin cancer (NMSC) is relatively under-studied. The purpose of this review is to synthesize the research that has been conducted on automated detection of NMSC using digital images and to assess the quality of evidence for the diagnostic accuracy of these technologies. Methods Eight databases (PubMed, Google Scholar, Embase, IEEE Xplore, Web of Science, SpringerLink, ScienceDirect, and the ACM Digital Library) were searched to identify diagnostic studies of NMSC using image-based machine learning models. Two reviewers independently screened eligible articles. The level of evidence of each study was evaluated using a five tier rating system, and the applicability and risk of bias of each study was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Results Thirty-nine studies were reviewed. Twenty-four models were designed to detect basal cell carcinoma, two were designed to detect squamous cell carcinoma, and thirteen were designed to detect both. All studies were conducted in silico. The overall diagnostic accuracy of the classifiers, defined as concordance with histopathologic diagnosis, was high, with reported accuracies ranging from 72 to 100% and areas under the receiver operating characteristic curve ranging from 0.832 to 1. Most studies had substantial methodological limitations, but several were robustly designed and presented a high level of evidence. Conclusion Most studies of image-based NMSC classifiers report performance greater than or equal to the reported diagnostic accuracy of the average dermatologist, but relatively few studies have presented a high level of evidence. Clinical studies are needed to assess whether these technologies can feasibly be implemented as a real-time aid for clinical diagnosis of NMSC. Electronic supplementary material The online version of this article (10.1186/s12880-019-0307-7) contains supplementary material, which is available to authorized users.

show abstract

Section: Introductionmentioning

confidence: 99%

Automated detection of nonmelanoma skin cancer using digital images: a systematic review

et al. 2019

View full text Add to dashboard Cite

show abstract

“…D ear E ditor , Some authors assert that ‘bread loaf’ analysis of specimens with step sections assesses <0·5% of the surgical margin and that conventional histological resection margin control is an illusion 1,2 . The high cure rates of >90% reported for simple excision of small, low‐risk basal cell carcinomas led us to consider the mathematics further 3 .…”

Section: Figurementioning

confidence: 99%

“…Bread loaf sections provide useful information on more than 0Á5% of surgical margins DOI: 10.1111/bjd.21740 DEAR EDITOR, Some authors assert that 'bread loaf' analysis of specimens with step sections assesses <0Á5% of the surgical margin and that conventional histological resection margin control is an illusion. 1,2 The high cure rates of >90% reported for simple excision of small, low-risk basal cell carcinomas led us to consider the mathematics further. 3 Useful information about margins is inferred 'by proxy' when clear sections are obtained.…”

mentioning

confidence: 99%

Bread loaf sections provide useful information on more than 0·5% of surgical margins

Warne

Klawonn

2022

British Journal of Dermatology

View full text Add to dashboard Cite

EGFR immunohistochemistry showed weak to strong expression in all cSCCs, colocalizing with the fluorescence signal. Low EGFR expression was found in the basal cell carcinoma. The keratoacanthomas showed no EGFR expression, as reported previously. 7 This proof-of-concept study demonstrates that FMI using the fluorescent tracer cetuximab-800CW can differentiate between tumour and adjacent tissue with high contrast. FMI detected all tumour-positive margins intraoperatively within seconds. FMI could be valuable for patients with a large or complex cSCC, where obtaining 100% intraoperative margin control is anticipated to be critical. However, it seems less useful for keratoacanthoma-like cSCC or in patients with excessive actinic damage. Future studies should determine the clinical value of FMI in surgery of high-risk cSCCs, ideally with new imaging methodologies that deliver improved depth information. 8Acknowledgments: We thank all patients who participated in this study. We thank Marloes van Kester for her help in designing the study, and Alet Leus and Aniek Lamberts for their help in recruiting patients. We thank the lab technicians from the Department of Pathology for their help in tissue processing.

show abstract

“…Non-melanoma skin cancer (NMSC) refers to all the types of cancer of the skin that are not melanoma. The vast majority (95%) of NMSC cases are basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (CSCC) while both types of NMSC can be diagnosed by visual inspection by a dermatologist [1].…”

Section: Introductionmentioning

confidence: 99%

Non-melanoma skin cancer as an occupational disease. What is the impact on the society and the welfare system?

Girvalaki¹,

Cardone²,

Weinert³

et al. 2020

jhi

View full text Add to dashboard Cite

The aim of this special article is to highlight the relevance of NMSC as an occupational disease as well as the regulatory gaps at European and Member State level, while at the same time promoting early screening and raising awareness. To support that, we conducted an extensive search (PubMed, Google Scholar) of the most recent scientific work related to NMSC and its epidemiology worldwide and in Europe, the causality of the disease, the economic burden of work-related UVR skin cancer, the role of screening and early detection and the regulatory gaps. Non-melanoma skin cancer (NMSC) refers to all the types of cancer of the skin that are not melanoma. In recent decades, the incidence of NMSC has continuously increased and will continue to do so in Europe and worldwide. NMSC is by far the most common cancer diagnosed in light-skinned people. The role of ultraviolet radiation (UVR) in carcinogenesis has been investigated by scientists and solar radiation has been classified by WHO/IARC as a Group 1 human carcinogen. Indeed, 90% of NMSC can be attributed to excessive exposure to UVR. Outdoor workers are exposed to an UVR dose of at least 2 to 3 times higher than indoor workers. NMSC has a significant impact in reducing patients' quality of life as they potentially undergo repeated rounds of surgery or recurrence and, as a result, can suffer significant consequences for their appearance, self-esteem, and well-being. For these reasons, actions and measures are required at European level in order to promote early screening and detection of skin malignancies as well as to increase awareness and protection of outdoor workers.

show abstract

Nonmelanoma Cutaneous Malignancies

Cited by 4 publications

References 103 publications

Automated detection of nonmelanoma skin cancer using digital images: a systematic review

Automated detection of nonmelanoma skin cancer using digital images: a systematic review

Bread loaf sections provide useful information on more than 0·5% of surgical margins

Non-melanoma skin cancer as an occupational disease. What is the impact on the society and the welfare system?

Contact Info

Product

Resources

About