Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A...

Area of Science:

• Dermatology
• Medical Imaging
• Oncology

Background:

• Accurate diagnosis of pigmented skin lesions is crucial for effective skin cancer treatment.
• Current bedside imaging methods have limitations in resolution and penetration depth.
• Combining multiple imaging modalities offers a promising approach for enhanced diagnostic capabilities.

Purpose of the Study:

• To evaluate the combined diagnostic potential of optical coherence tomography (OCT), reflectance confocal microscopy (RCM), photoacoustic imaging (PAI), and high-frequency ultrasound (HFUS) for differentiating malignant from benign pigmented skin lesions.
• To identify specific imaging features indicative of malignancy across the evaluated modalities.

Main Methods:

• A pilot study involving 41 pigmented skin tumors scanned pre-excision.
• Analysis of morphological and vascular features using OCT, RCM, PAI, and HFUS.
• Assessment of diagnostic accuracy in distinguishing between malignant and benign lesions.

Main Results:

• Novel features identified in PAI (3), RCM (7), and OCT (2) showed high correlation with malignancy.
• Combined imaging techniques achieved a diagnostic accuracy greater than 71%.
• HFUS did not yield significant differentiating features for pigmented skin lesions.

Conclusions:

• OCT, RCM, and PAI, when used in combination, facilitate image-guided bedside evaluation of suspicious pigmented skin tumors.
• Integrating these advanced imaging techniques can lead to more efficient and accurate skin cancer diagnosis.