Optical imaging guided- ‘precision’ biopsy of skin tumors: a novel approach for targeted sampling and histopathologic correlation

ARCHIVES OF DERMATOLOGICAL RESEARCH(2020)

Cited 9|Views33
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Abstract
Dermoscopy and reflectance confocal microscopy (RCM) are two noninvasive, optical imaging tools used to facilitate clinical diagnosis. A biopsy technique that produces exact correlation with optical imaging features is not previously reported. To evaluate the applications of a novel feature-focused ‘precision biopsy’ technique that correlates clinical–dermoscopy–RCM findings with histopathology. This was a prospective case-series performed during August 2017 and June 2019 at a tertiary care cancer. We included consecutive patients requiring a precise dermoscopy–RCM–histopathologic correlation. We performed prebiopsy dermoscopy and both wide probe and handheld RCM of suspicious lesions. Features of interest were isolated with the aid of paper rings and a 2 mm punch biopsy was performed in the dermoscopy- or RCM-highlighted area. Tissue was processed either en face or with vertical sections. One-to-one correlation with histopathology was obtained. Twenty-three patients with 24 lesions were included in the study. The mean age was 64.6 years (range 22–91 years); there were 16 (69.6%) males, 14 (58.3%) lesions biopsied were on head and neck region. We achieved tissue-conservation diagnosis in 100% (24/24), 13 (54.2%) were clinically equivocal lesions, six (25%) were selected for ‘feature correlation’ of structures on dermoscopy or RCM, and five (20.8%) for ‘correlation of new/unknown’ RCM features seen on follow-up. The precision biopsy technique described herein is a novel method that facilitates direct histopathological correlation of dermoscopy and RCM features. With the aids of optical imaging devices, accurate diagnosis may be achieved by minimally invasive tissue extraction.
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Key words
Reflectance confocal microscopy, Biopsy, Correlation, Diagnosis, Dermatopathology, Dermoscopy, Optical coherence tomography, Noninvasive
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