Optical coherence tomography image processing for in vivo 3‐dimensional visualization of basal cell carcinoma

2018 ◽  
Vol 24 (3) ◽  
pp. 509-511
Author(s):  
S. H. Verne ◽  
R. J. Magno ◽  
A. E. Eber ◽  
J. Cervantes ◽  
M. Perper ◽  
...  
Keyword(s):  
Image Processing ◽  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Optical Coherence Tomography Image ◽  
Optical Coherence ◽  
3 Dimensional ◽  
Tomography Image

Correlation of Thickness of Basal Cell Carcinoma by Optical Coherence Tomography In Vivo and Routine Histologic Findings

2007 ◽  
Vol 33 (4) ◽  
pp. 421-425
Author(s):  
JESSE M. OLMEDO ◽  
KAREN E. WARSCHAW ◽  
JOSEPH M. SCHMITT ◽  
DAVID L. SWANSON
Keyword(s):  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Optical Coherence

In vivo optical coherence tomography of basal cell carcinoma

2007 ◽  
Vol 45 (3) ◽  
pp. 167-173 ◽  
Author(s):  
Thilo Gambichler ◽  
Alexej Orlikov ◽  
Remus Vasa ◽  
Georg Moussa ◽  
Klaus Hoffmann ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Optical Coherence

scholarly journals Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma

2021 ◽  
Author(s):  
Fieke Adan ◽  
Klara Mosterd ◽  
Nicole W.J. Kelleners-Smeets ◽  
Patty J. Nelemans
Keyword(s):  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Diagnostic Value ◽  
Image Features ◽  
Small Subset ◽  
Optical Coherence Tomography Image ◽  
Optical Coherence ◽  
Discriminative Ability

Optical coherence tomography (OCT) is a noninvasive diagnostic method. Numerous morphological OCT features have been described for diagnosis of basal cell carcinoma (BCC). In this study, we evaluate the diagnostic value of established features and we explore whether the use of a small set of features enables accurate discrimination between BCC and non-BCC lesions and between BCC subtypes. For each lesion, presence or absence of specific features was recorded. Histopathology was used as a gold standard. Diagnostic parameters were calculated for each feature and multivariate logistic regression analyses were performed to evaluate the loss in discriminative ability when using a small subset of features instead of all features that are characteristic for BCC according to literature. Results show that the use of a limited number of features allows for good discrimination of superficial BCC from non-superficial BCC and non-BCC lesions. The prevalence of BCC was 75.3% (225/299) and the proposed diagnostic algorithm enabled detection of 97.8% of BCC lesions (220/225). Subtyping without the need for biopsy was possible in 132 of 299 patients (44%) with a predictive value for presence of superficial BCC of 84.3% versus 98.8% for presence of non-superficial BCC.

scholarly journals A novel imaging approach to periocular basal cell carcinoma: in vivo optical coherence tomography and histological correlates

Eye ◽  
2015 ◽  
Vol 29 (8) ◽  
pp. 1092-1098 ◽  
Author(s):  
L Pelosini ◽  
H B Smith ◽  
J B Schofield ◽  
A Meeckings ◽  
A Dithal ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Optical Coherence ◽  
Imaging Approach
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