Diagnosis of melanoma by imaging mass spectrometry: Development and validation of a melanoma prediction model.

ABSTRACT:

Background

The definitive diagnosis of melanocytic neoplasia using solely histopathologic evaluation can be challenging. Novel techniques that objectively confirm diagnoses are needed. This study details the development and validation of a melanoma prediction model from spatially resolved multivariate protein expression profiles generated by imaging mass spectrometry (IMS).

Methods

Three board-certified dermatopathologists blindly evaluated 333 samples. Samples with triply concordant diagnoses were included in this study, divided into a training set (n = 241) and a test set (n = 92). Both the training and test sets included various representative subclasses of unambiguous nevi and melanomas. A prediction model was developed from the training set using a linear support vector

SUBMITTER: Al-Rohil RN 

PROVIDER: S-EPMC8595555 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature