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Non-invasive, in vivo, characterization of cutaneous metastases using a novel multimodal RCM-OCT imaging device: a case-series.
Bang, A S; Monnier, J; Harris, U; Garfinkel, J; Rubinstein, G; Iftimia, N; Pulitzer, M; Murray, M; Lacouture, M E; Jain, M.
Afiliación
  • Bang AS; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Monnier J; Department of Dermatology, Weill Cornell Medicine, New York, New York, USA.
  • Harris U; Department of Dermatology, University of California, San Francisco, California, USA.
  • Garfinkel J; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Rubinstein G; Dermatology and Skin Cancer Department, La Timone Hospital, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
  • Iftimia N; Centre de Recherche en Cancerologie de Marseille, Inserm UMR1068, CNRS UMR7258, Aix-Marseille University, Marseille, France.
  • Pulitzer M; Aix Marseille Univ, Université de Marseille, CNRS UMR 7020, LIS, Marseille, France.
  • Murray M; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Lacouture ME; Dermatology and Laser Centre, Studio City, California, USA.
  • Jain M; Dermatology and Laser Centre, Studio City, California, USA.
J Eur Acad Dermatol Venereol ; 36(11): 2051-2054, 2022 Nov.
Article en En | MEDLINE | ID: mdl-35729732
BACKGROUND: Cutaneous metastases (CM) diagnosis is clinically challenging, requiring an invasive biopsy for confirmation. A novel, RCM-OCT device combines the advantage of horizontal high-resolution reflectance confocal microscopy (RCM) images and vertical deeper optical coherence tomography (OCT) images to aid in non-invasive diagnosis of CM from breast cancers. OBJECTIVE: Characterize CM from breast cancers using RCM-OCT device. METHODS: Seven patients suffering from breast cancers with suspicious CM were consented and imaged with RCM-OCT device. CM features were defined by comparing with histopathology. Tumour depths were measured on OCT and on H&E-images and correlated using statistical analysis Pearson test. 3D-OCT images were reconstructed to enhance tumour visualization. RESULTS: 6/7 lesions were CM from breast cancers, and one was vascular ectasia, on histopathology. CM appeared as greyish-darkish oval to round structures within the dermis on RCM and OCT-images. On RCM, individual tumour cells were seen, enabling identification of even small tumour foci; while, on OCT deeper tumours were detected. Inflammatory cells, dilated vessels and coarse collagen were identified in the dermis. Pearson correlation had an r2 of 0.38 and a significant P-value <0.004 for depth measurements. CM from breast cancers could be differentiated from ecstatic vessels on 3D-reconstructed OCT image. LIMITATION: Small sample size and lack of clinical mimickers. CONCLUSION: RCM-OCT can detect CM and has potential in aiding non-invasive diagnosis and management.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Tomografía de Coherencia Óptica Límite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Asunto de la revista: DERMATOLOGIA / DOENCAS SEXUALMENTE TRANSMISSIVEIS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Tomografía de Coherencia Óptica Límite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Asunto de la revista: DERMATOLOGIA / DOENCAS SEXUALMENTE TRANSMISSIVEIS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido