AIM: To investigate in vivo optical coherence tomography (OCT) for imaging of periocular basal cell carcinoma (BCC). METHODS: Consecutive patients with periocular BCC were prospectively investigated with VivoSight OCT imaging prior to surgical excision. Histology sections were compared with OCT images with regard to lesion measurements (x, y and z dimensions) and histological features. RESULTS: A total of 15 patients with biopsy proven BCC were recruited. The OCT horizontal margins correlated positively with histology (r=0.8 and 0.66, x and y axes) and could be identified in 3/15 (x axis) and 6/15 (y axis) cases. The vertical margin correlation was r=0.43 and BCC depth could be measured in 9/15 cases. The following histological features of BCC could be identified on OCT images: (1) lobular pattern (100%); (2) dilated blood vessels (80%); (3) reflective margins of tumour lobules (100%); and (4) epidermal thinning overlying BCC lobules (100%). CONCLUSIONS: This study indicated a strong positive correlation between the margins of periocular BCCs measured using in vivo OCT and histology, and a weak positive correlation with depth of invasion. VivoSight OCT produced high resolution images of BCC morphology. The limitations in horizontal margin measurements could potentially be overcome by design modification of the scanning probe.
AIM: To investigate in vivo optical coherence tomography (OCT) for imaging of periocular basal cell carcinoma (BCC). METHODS: Consecutive patients with periocular BCC were prospectively investigated with VivoSight OCT imaging prior to surgical excision. Histology sections were compared with OCT images with regard to lesion measurements (x, y and z dimensions) and histological features. RESULTS: A total of 15 patients with biopsy proven BCC were recruited. The OCT horizontal margins correlated positively with histology (r=0.8 and 0.66, x and y axes) and could be identified in 3/15 (x axis) and 6/15 (y axis) cases. The vertical margin correlation was r=0.43 and BCC depth could be measured in 9/15 cases. The following histological features of BCC could be identified on OCT images: (1) lobular pattern (100%); (2) dilated blood vessels (80%); (3) reflective margins of tumour lobules (100%); and (4) epidermal thinning overlying BCC lobules (100%). CONCLUSIONS: This study indicated a strong positive correlation between the margins of periocular BCCs measured using in vivo OCT and histology, and a weak positive correlation with depth of invasion. VivoSight OCT produced high resolution images of BCC morphology. The limitations in horizontal margin measurements could potentially be overcome by design modification of the scanning probe.
Entities:
Keywords:
Eye Lids; Imaging; Neoplasia; Pathology; Treatment Surgery
Authors: Labrinus van Manen; Jouke Dijkstra; Claude Boccara; Emilie Benoit; Alexander L Vahrmeijer; Michalina J Gora; J Sven D Mieog Journal: J Cancer Res Clin Oncol Date: 2018-06-20 Impact factor: 4.553