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眼周基底细胞癌的活体光学相干断层扫描(OCT):活体 OCT 图像与术后组织病理学的相关性。

In vivo optical coherence tomography (OCT) in periocular basal cell carcinoma: correlations between in vivo OCT images and postoperative histology.

机构信息

Ophthalmology Department, Maidstone & Tunbridge Wells NHS Trust, Maidstone, Kent, UK.

出版信息

Br J Ophthalmol. 2013 Jul;97(7):890-4. doi: 10.1136/bjophthalmol-2012-303043. Epub 2013 May 15.

DOI:10.1136/bjophthalmol-2012-303043
PMID:23677987
Abstract

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.

摘要

目的

研究眼周基底细胞癌(BCC)的活体光学相干断层扫描(OCT)成像。

方法

连续前瞻性地对眼周 BCC 患者进行 VivoSight OCT 成像检查,然后进行手术切除。将组织学切片与 OCT 图像进行比较,以评估病变的测量(x、y 和 z 维度)和组织学特征。

结果

共纳入 15 例经活检证实为 BCC 的患者。OCT 水平边界与组织学呈正相关(x 和 y 轴的 r 值分别为 0.8 和 0.66),在 3/15 例(x 轴)和 6/15 例(y 轴)中可以识别。垂直边界的相关系数为 r=0.43,可测量 9/15 例的 BCC 深度。OCT 图像上可识别 BCC 的以下组织学特征:(1)小叶模式(100%);(2)扩张的血管(80%);(3)肿瘤小叶的反射边界(100%);(4)BCC 小叶上方的表皮变薄(100%)。

结论

本研究表明,眼周 BCC 用活体 OCT 测量的边界与组织学之间具有很强的正相关,与侵袭深度具有弱正相关。VivoSight OCT 可产生 BCC 形态的高分辨率图像。通过扫描探头的设计改进,有可能克服水平边界测量的局限性。

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