Correlation Between In Vivo Reflectance Confocal Microscopy and Horizontal Histopathology in Skin Cancer: A Review

Broggi, Giuseppe; Verzì, Anna Elisa; Caltabiano, Rosario; Micali, Giuseppe; Lacarrubba, Francesco

doi:10.3389/fonc.2021.653140

Cited by 14 publications

(15 citation statements)

References 43 publications

(50 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, in vivo reflectance confocal microscopy (RCM), a noninvasive technique to diagnose various skin diseases, was used to provide a horizontal “point of view” of the skin. Previous studies reported the correlations between dermoscopy, RCM, and histopathology in several skin diseases [ 11 , 12 ]. Since shave biopsy was conducted in this study, thin parts of tissues were obtained.…”

Section: Discussionmentioning

confidence: 99%

The Correlations between Clinical Features, Dermoscopic and Histopathological Findings, and Treatment Outcomes of Patients with Pitted Keratolysis

Pattanaprichakul

Kulthanan

Bunyaratavej

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

Background. Pitted keratolysis (PK) is a superficial bacterial infection diagnosed mainly by clinical manifestations. Current data on its dermoscopic and histopathological findings, and the correlation of those findings, are limited. Objectives. To evaluate the clinical manifestations, dermoscopic, and histopathological findings of PK and to determine the correlations. Methods. Forty naval cadets with PK and five cadets with normal feet were enrolled this cohort study and provided informed consent. Dermoscopy was independently applied and evaluated by 2 dermatologists. Shave biopsies were performed on 37 patients with PK. Results. Pits were the most common dermoscopic finding (88.1%). The dermoscope had more sensitivity for the detection of PK than the naked eye examinations. Apart from the pits and the presence of bacteria, the most common histopathological finding for PK was color alteration of keratin. The presence of bacteria correlated with interrupted dermatoglyphic lines and the color alteration of keratin. Moreover, the presence of bacteria at the base of pits was related to worse treatment outcomes. Conclusions. Dermoscopy is a useful tool for PK diagnosis. Color alteration of keratin is another histopathological finding for PK. The presence of bacteria is associated with worse treatment outcomes.

show abstract

Section: Discussionmentioning

confidence: 99%

The Correlations between Clinical Features, Dermoscopic and Histopathological Findings, and Treatment Outcomes of Patients with Pitted Keratolysis

Pattanaprichakul

Kulthanan

Bunyaratavej

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Recent information on skin cancers gained from novel technologies such as in vivo reflectance confocal microscopy promotes deep understanding of the detailed molecular mechanisms of skin cancer development [ 9 , 10 , 11 ]. However, its advanced form is intractable and there are still only a limited number of therapeutic options against metastatic lesions of skin tumors.…”

Section: Introductionmentioning

confidence: 99%

Daily Lifestyle and Cutaneous Malignancies

Sawada

Nakamura

2021

IJMS

View full text Add to dashboard Cite

Daily lifestyle is a fundamental part of human life and its influence accumulates daily in the human body. We observe that a good daily lifestyle has a beneficial impact on our health; however, the actual effects of individual daily lifestyle factors on human skin diseases, especially skin cancers, have not been summarized. In this review, we focused on the influence of daily lifestyle on the development of skin cancer and described the detailed molecular mechanisms of the development or regulation of cutaneous malignancies. Several daily lifestyle factors, such as circadian rhythm disruption, smoking, alcohol, fatty acids, dietary fiber, obesity, and ultraviolet light, are known to be associated with the risk of cutaneous malignancies, malignant melanoma, squamous cell carcinoma, basal cell carcinoma, and Merkel cell carcinoma. Although the influence of some daily lifestyles on the risk of skin cancers is controversial, this review provides us a better understanding of the relationship between daily lifestyle factors and skin cancers.

show abstract

“…Ex vivo CLSM shall be distinguished from its in vivo counterpart, which is based on a single near-infrared laser source and is used in the daily practice for bedside, non-invasive and painless diagnosis of cutaneous malignancies and several skin diseases, from mite infestations to lupus [ 19 , 20 , 21 ]. Its images are displayed as grey scale and in horizontal section, so that their comparison to vertical histological sections requires a dedicated training [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy

Ruini

Schlingmann

Jonke³

et al. 2021

Cancers

View full text Add to dashboard Cite

Image classification with convolutional neural networks (CNN) offers an unprecedented opportunity to medical imaging. Regulatory agencies in the USA and Europe have already cleared numerous deep learning/machine learning based medical devices and algorithms. While the field of radiology is on the forefront of artificial intelligence (AI) revolution, conventional pathology, which commonly relies on examination of tissue samples on a glass slide, is falling behind in leveraging this technology. On the other hand, ex vivo confocal laser scanning microscopy (ex vivo CLSM), owing to its digital workflow features, has a high potential to benefit from integrating AI tools into the assessment and decision-making process. Aim of this work was to explore a preliminary application of CNN in digitally stained ex vivo CLSM images of cutaneous squamous cell carcinoma (cSCC) for automated detection of tumor tissue. Thirty-four freshly excised tissue samples were prospectively collected and examined immediately after resection. After the histologically confirmed ex vivo CLSM diagnosis, the tumor tissue was annotated for segmentation by experts, in order to train the MobileNet CNN. The model was then trained and evaluated using cross validation. The overall sensitivity and specificity of the deep neural network for detecting cSCC and tumor free areas on ex vivo CLSM slides compared to expert evaluation were 0.76 and 0.91, respectively. The area under the ROC curve was equal to 0.90 and the area under the precision-recall curve was 0.85. The results demonstrate a high potential of deep learning models to detect cSCC regions on digitally stained ex vivo CLSM slides and to distinguish them from tumor-free skin.

show abstract

Correlation Between In Vivo Reflectance Confocal Microscopy and Horizontal Histopathology in Skin Cancer: A Review

Cited by 14 publications

References 43 publications

The Correlations between Clinical Features, Dermoscopic and Histopathological Findings, and Treatment Outcomes of Patients with Pitted Keratolysis

The Correlations between Clinical Features, Dermoscopic and Histopathological Findings, and Treatment Outcomes of Patients with Pitted Keratolysis

Daily Lifestyle and Cutaneous Malignancies

Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy

Contact Info

Product

Resources

About