Correlation of Vascular Patterns in Skin Lesions With LC-OCT and Dermoscopy With a Tridimensional Perspective: A Pilot Study Article Swipe
C. Lenoir
,
Mariano Suppa
,
Susana Puig
,
V. del Mármol
,
Raquel Albero‐González
,
Llucia Also
,
Carmen Orte Cano
,
G. Diet
,
Margot Fontaine
,
Linda Tognetti
,
Élisa Cinotti
,
Pietro Rubegni
,
Jean Perrot
,
Josep Malvehy
,
Javiera Pérez‐Ánker
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5826/dpc.1503a5297
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5826/dpc.1503a5297
Introduction: Vascular patterns play a crucial role in the diagnosis and differentiation of skin lesions by providing insight into underlying pathology and aid in distinguishing between benign and malignant lesions. While dermoscopy has proven valuable for visualizing these vascular structures, Line-field confocal optical coherence tomography (LC-OCT) offers high-resolution, 3-dimensional (3D) imaging of the skin, potentially providing detailed visualization of vascular architecture and new insights about their projection in dermoscopy. Objectives: This pilot study aimed to investigate the correlation of vascular patterns in skin lesions with LC-OCT and dermoscopy and explored tridimensional imaging in assessing microvascular architecture. Methods: A cohort of patients with 14 diverse skin lesions showing typical dermoscopic vascular patterns were examined using dermoscopy and LC-OCT. LC-OCT images were analyzed and manual segmentation with tridimensional reconstruction of the vascular structures was performed. Correlation between these vascular structures and their dermoscopic projection was then assessed. Results: LC-OCT demonstrated a strong correlation with dermoscopy in identifying vascular patterns, offering additional depth and 3D details of the intricate relationship between skin micro-architecture and the development of specific vascular patterns in skin lesions. Conclusions: LC-OCT correlates with dermoscopy in vascular pattern analysis in skin lesions. The added advantage of 3D imaging helped us understand the way vascular structures are formed in skin lesions depending on its micro-architecture. LC-OCT could potentially play a significant role in precisely assessing the vascular environment of skin lesions. Further studies are necessary to assess how this could provide clinical value for diagnosing or monitoring of skin lesions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5826/dpc.1503a5297
- https://www.dpcj.org/index.php/dpc/article/download/5297/3198
- OA Status
- diamond
- Cited By
- 1
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412788650
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412788650Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5826/dpc.1503a5297Digital Object Identifier
- Title
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Correlation of Vascular Patterns in Skin Lesions With LC-OCT and Dermoscopy With a Tridimensional Perspective: A Pilot StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-07-31Full publication date if available
- Authors
-
C. Lenoir, Mariano Suppa, Susana Puig, V. del Mármol, Raquel Albero‐González, Llucia Also, Carmen Orte Cano, G. Diet, Margot Fontaine, Linda Tognetti, Élisa Cinotti, Pietro Rubegni, Jean Perrot, Josep Malvehy, Javiera Pérez‐ÁnkerList of authors in order
- Landing page
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https://doi.org/10.5826/dpc.1503a5297Publisher landing page
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https://www.dpcj.org/index.php/dpc/article/download/5297/3198Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://www.dpcj.org/index.php/dpc/article/download/5297/3198Direct OA link when available
- Concepts
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Medicine, Perspective (graphical), Dermatoscopy, Dermatology, Pathology, Artificial intelligence, Melanoma, Computer science, Cancer researchTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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54Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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