Reflectance Confocal Microscopy in the Diagnosis of Non-Melanoma Skin Cancer and Benign Lesions Versus Normal Skin: A Blinded Prospective Trial

10.5580/245d ◽  
2011 ◽  
Vol 7 (2) ◽  
Keyword(s):  
Skin Cancer ◽  
Confocal Microscopy ◽  
Normal Skin ◽  
Prospective Trial ◽  
Reflectance Confocal Microscopy ◽  
Benign Lesions ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

scholarly journals Noninvasive diagnosis of non-melanoma skin cancer: focus on reflectance confocal microscopy

2008 ◽  
Vol 3 (5) ◽  
pp. 557-567 ◽  
Author(s):  
Martina Ulrich ◽  
Susanne Astner ◽  
Eggert Stockfleth ◽  
Joachim Röwert-Huber
Keyword(s):  
Skin Cancer ◽  
Confocal Microscopy ◽  
Reflectance Confocal Microscopy ◽  
Noninvasive Diagnosis ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

scholarly journals Peri‐operative delineation of non‐melanoma skin cancer marginsin vivowith handheld reflectance confocal microscopy and video‐mosaicking

2019 ◽  
Vol 33 (6) ◽  
pp. 1084-1091 ◽  
Author(s):  
E. Flores ◽  
O. Yélamos ◽  
M. Cordova ◽  
K. Kose ◽  
W. Phillips ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Confocal Microscopy ◽  
Reflectance Confocal Microscopy ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

Assessment of Optical Coherence Tomography Imaging in the Diagnosis of Non-Melanoma Skin Cancer and Benign Lesions Versus Normal Skin

2009 ◽  
Vol 35 (6) ◽  
pp. 965-972 ◽  
Author(s):  
METTE MOGENSEN ◽  
THOMAS MARTINI JOERGENSEN ◽  
BIRGIT MEINCKE NÜRNBERG ◽  
HANAN AHMAD MORSY ◽  
JAKOB B. THOMSEN ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Skin Cancer ◽  
Normal Skin ◽  
Optical Coherence ◽  
Benign Lesions ◽  
Tomography Imaging ◽  
Non Melanoma Skin Cancer ◽  
Optical Coherence Tomography Imaging ◽  
Melanoma Skin

Fluorescence diagnosis and in vivo confocal microscopy during photodynamic therapy of non-melanoma skin cancer

2012 ◽  
Vol 88 (4) ◽  
pp. 110-116
Author(s):  
Magdolna Gaál ◽  
◽  
Erika Varga ◽  
Réka Kovács ◽  
Zsolt Hunyadi ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Skin Cancer ◽  
Confocal Microscopy ◽  
In Vivo Confocal Microscopy ◽  
Fluorescence Diagnosis ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

scholarly journals Preoperative AI-Driven Fluorescence Diagnosis of Non-Melanoma Skin Cancer

Diagnostics ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 72
Author(s):  
Victoriya Andreeva ◽  
Evgeniia Aksamentova ◽  
Andrey Muhachev ◽  
Alexey Solovey ◽  
Igor Litvinov ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Normal Skin ◽  
Invasive Procedure ◽  
Biopsy Material ◽  
Fluorescence Diagnosis ◽  
Non Melanoma Skin Cancer ◽  
Skin Cancers ◽  
Abnormal Cells ◽  
Diagnosis Method ◽  
Melanoma Skin

The diagnosis and treatment of non-melanoma skin cancer remain urgent problems. Histological examination of biopsy material—the gold standard of diagnosis—is an invasive procedure that requires a certain amount of time to perform. The ability to detect abnormal cells using fluorescence spectroscopy (FS) has been shown in many studies. This technique is rapidly expanding due to its safety, relative cost-effectiveness, and efficiency. However, skin lesion FS-based diagnosis is challenging due to a number of single overlapping spectra emitted by fluorescent molecules, making it difficult to distinguish changes in the overall spectrum and the molecular basis for it. We applied deep learning (DL) algorithms to quantitatively assess the ability of FS to differentiate between pathologies and normal skin. A total of 137 patients with various forms of primary and recurrent basal cell carcinoma (BCC) were observed by a multispectral laser-based device with a built-in neural network (NN) “DSL-1”. We measured the fluorescence spectra of suspected non-melanoma skin cancers and compared them with “normal” skin spectra. These spectra were input into DL algorithms to determine whether the skin is normal, pigmented normal, benign, or BCC. The preoperative differential AI-driven fluorescence diagnosis method correctly predicted the BCC lesions. We obtained an average sensitivity of 62% and average specificity of 83% in our experiments. Thus, the presented “DSL-1” diagnostic device can be a viable tool for the real-time diagnosis and guidance of non-melanoma skin cancer resection.

Discrimination of non-melanoma skin cancer and keratosis from normal skin tissue in vivo and ex vivo by Raman spectroscopy

2019 ◽  
Vol 100 ◽  
pp. 131-141 ◽  
Author(s):  
Ana Mara Ferreira Lima ◽  
Camila Ribeiro Daniel ◽  
Ricardo Scarparo Navarro ◽  
Benito Bodanese ◽  
Carlos Augusto Pasqualucci ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Ex Vivo ◽  
Normal Skin ◽  
Skin Tissue ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

Behavioral and demographic factors associated with occurrence of non-melanoma skin cancer in organ transplant recipients

2020 ◽  
Vol 155 (5) ◽  
Author(s):  
Luca Fania ◽  
Damiano Abeni ◽  
Ilaria Esposito ◽  
Gionata Spagnoletti ◽  
Franco Citterio ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Organ Transplant ◽  
Demographic Factors ◽  
Transplant Recipients ◽  
Organ Transplant Recipients ◽  
Factors Associated ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

Comparison of Electronic Brachytherapy and Mohs Micrographic Surgery for the Treatment of Early-Stage Non-Melanoma Skin Cancer: A Matched Pair Cohort Study

2017 ◽  
Vol 1 ◽  
pp. s114
Author(s):  
Rakesh Patel ◽  
Robert Strimling ◽  
Stephen Doggett ◽  
Mark Willoughby ◽  
Erick Mafong ◽  
...  
Keyword(s):  
Cohort Study ◽  
Skin Cancer ◽  
Early Stage ◽  
Matched Pair ◽  
Mohs Micrographic Surgery ◽  
Micrographic Surgery ◽  
Electronic Brachytherapy ◽  
Non Melanoma Skin Cancer ◽  
Melanoma Skin

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