Abstract
Multiphoton laser tomography (MPT) combined with fluorescence lifetime imaging (FLIM) is a non-invasive imaging technique, based on the study of fluorescence decay times of naturally occurring fluorescent molecules, enabling a non-invasive investigation of the skin with subcellular resolution. The aim of this retrospective observational ex vivo study, was to characterize melanoma both from a morphologic and a quantitative point of view, attaining an improvement in the diagnostic accuracy with respect to dermoscopy. In the training phase, thirty parameters, comprising both cytological descriptors and architectural aspects, were identified. The training set included 6 melanomas with a mean Breslow thickness±S.D. of 0.89±0.48 mm. In the test phase, these parameters were blindly evaluated on a test data set consisting of 25 melanomas, 50 nevi and 50 basal cell carcinomas. Melanomas in the test phase comprised 8 in situ lesions and had a mean thickness±S.D. of 0.77±1.2 mm. Moreover, quantitative FLIM data were calculated for special areas of interest. Melanoma was characterized by the presence of atypical short lifetime cells and architectural disorder, in contrast to nevi presenting typical cells and a regular histoarchitecture. Sensitivity and specificity values for melanoma diagnosis were 100% and 98%, respectively, whereas dermoscopy achieved the same sensitivity, but a lower specificity (82%). Mean fluorescence lifetime values of melanocytic cells did not vary between melanomas and nevi, but significantly differed from those referring to basal cell carcinoma enabling a differential diagnosis based on quantitative data. Data from prospective preoperative trials are needed to confirm if MPT/FLIM could increase diagnostic specificity and thus reduce unnecessary surgical excisions.
Highlights
Melanoma (MM) is a lethal cancer among skin malignancies, with an increasing incidence worldwide [1,2]
All image analysis was performed using pseudocolor fluorescence lifetime imaging (FLIM) images produced by the SPCImage software
Instrument-based methods have been introduced as a support to clinical diagnosis for early detection of MM and improvement of its prognosis
Summary
Melanoma (MM) is a lethal cancer among skin malignancies, with an increasing incidence worldwide [1,2]. Despite a high cure rate for thin melanomas, advanced melanomas have a poor prognosis. Early identification of melanoma represents a crucial end point for physicians. Instrumental methods have been introduced to support clinical diagnosis [3,4,5]. With established techniques, diagnostic accuracy does not reach 100% [6]. Further technological efforts are underway with the aim of facilitating the precocious recognition of the black cancer
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