Mohs micrographic surgery challenges and new technologies to optimize care of cutaneous malignancies of the ear.
Bliss ColaoAmor KhachemounePublished in: Archives of dermatological research (2024)
Cutaneous malignancies affecting the ear, exacerbated by extensive ultraviolet (UV) exposure, pose intricate challenges owing to the organ's complex anatomy. This article investigates how the anatomy contributes to late-stage diagnoses and ensuing complexities in surgical interventions. Mohs Micrographic Surgery (MMS), acknowledged as the gold standard for treating most cutaneous malignancies of the ear, ensures superior margin control and cure rates. However, the ear's intricacy necessitates careful consideration of tissue availability and aesthetic outcomes. The manuscript explores new technologies like Reflectance Confocal Microscopy (RCM), Optical Coherence Tomography (OCT), High-Frequency, High-Resolution Ultrasound (HFHRUS), and Raman spectroscopy (RS). These technologies hold the promise of enhancing diagnostic accuracy and providing real-time visualization of excised tissue, thereby improving tumor margin assessments. Dermoscopy continues to be a valuable non-invasive tool for identifying malignant lesions. Staining methods in Mohs surgery are discussed, emphasizing hematoxylin and eosin (H&E) as the gold standard for evaluating tumor margins. Toluidine blue is explored for potential applications in assessing basal cell carcinomas (BCC), and immunohistochemical staining is considered for detecting proteins associated with specific malignancies. As MMS and imaging technologies advance, a thorough evaluation of their practicality, cost-effectiveness, and benefits becomes essential for enhancing surgical outcomes and patient care. The potential synergy of artificial intelligence with these innovations holds promise in revolutionizing tumor detection and improving the efficacy of cutaneous malignancy treatments.
Keyphrases
- basal cell carcinoma
- artificial intelligence
- high frequency
- minimally invasive
- coronary artery bypass
- high resolution
- big data
- raman spectroscopy
- optical coherence tomography
- transcranial magnetic stimulation
- healthcare
- machine learning
- surgical site infection
- deep learning
- skin cancer
- palliative care
- diabetic retinopathy
- physical activity
- type diabetes
- mass spectrometry
- human health
- coronary artery disease
- high grade
- adipose tissue
- chronic pain
- quality improvement
- percutaneous coronary intervention
- computed tomography
- climate change
- mesenchymal stem cells
- photodynamic therapy
- ultrasound guided
- atrial fibrillation