Background

Photoacoustic (PA) imaging is an emerging non-invasive biomedical imaging modality that could potentially be used to determine the borders of basal cell carcinomas (BCC) preoperatively in order to reduce the need for repeated surgery.

Methods

Two- and three-dimensional PA images were obtained by scanning BCCs using 59 wavelengths in the range 680–970 nm. Spectral unmixing was performed to visualize the tumor tissue distribution. Spectral signatures from 38 BCCs and healthy tissue were compared ex vivo.

Results and discussion

The PA spectra could be used to differentiate between BCC and healthy tissue ex vivo (p < 0.05). Spectral unmixing provided visualization of the overall architecture of the lesion and its border.

Conclusion

PA imaging can be used to differentiate between BCC and healthy tissue and can potentially be used to delineate tumors prior to surgical excision.

中文翻译：

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光声成像用于患者基底细胞癌的三维可视化和描绘。

 背景

光声（PA）成像是一种新兴的非侵入性生物医学成像方式，可用于术前确定基底细胞癌（BCC）的边界，以减少重复手术的需要。

 方法

二维和三维 PA 图像是通过使用 680-970 nm 范围内的 59 个波长扫描 BCC 获得的。进行光谱分离以可视化肿瘤组织分布。离体比较了 38 个 BCC 和健康组织的光谱特征。

 结果与讨论

PA 光谱可用于区分 BCC 和离体健康组织 ( p < 0.05)。光谱分解提供了病变及其边界的整体结构的可视化。

 结论

PA 成像可用于区分基底细胞癌和健康组织，并有可能用于在手术切除前描绘肿瘤。