Skip to Main Content (Press Enter)

Logo UNIME
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills

Expertise & Skills
Logo UNIME

|

UNIFIND - Expertise & Skills

unime.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills
  1. Outputs

Digital Pathology Applications for PD-L1 Scoring in Head and Neck Squamous Cell Carcinoma: A Challenging Series

Academic Article
Publication Date:
2024
abstract:
The assessment of programmed death-ligand 1 (PD-L1) combined positive scoring (CPS) in head and neck squamous cell carcinoma (HNSCC) is challenged by pre-analytical and inter-observer variabilities. An educational program to compare the diagnostic performances between local pathologists and a board of pathologists on 11 challenging cases from different Italian pathology centers stained with PD-L1 immunohistochemistry on a digital pathology platform is reported. A laboratory-developed test (LDT) using both 22C3 (Dako) and SP263 (Ventana) clones on Dako or Ventana platforms was compared with the companion diagnostic (CDx) Dako 22C3 pharm Dx assay. A computational approach was performed to assess possible correlations between stain features and pathologists' visual assessments. Technical discordances were noted in five cases (LDT vs. CDx, 45%), due to an abnormal nuclear/cytoplasmic diaminobenzidine (DAB) stain in LDT (n = 2, 18%) and due to variation in terms of intensity, dirty background, and DAB droplets (n = 3, 27%). Interpretative discordances were noted in six cases (LDT vs. CDx, 54%). CPS remained unchanged, increased, or decreased from LDT to CDx in three (27%) cases, two (18%) cases, and one (9%) case, respectively, around relevant cutoffs (1 and 20, k = 0.63). Differences noted in DAB intensity/distribution using computational pathology partly explained the LDT vs. CDx differences in two cases (18%). Digital pathology may help in PD-L1 scoring, serving as a second opinion consultation platform in challenging cases. Computational and artificial intelligence tools will improve clinical decision-making and patient outcomes.
Iris type:
14.a.1 Articolo su rivista
Keywords:
PD-L1, digital pathology, head and neck squamous cell carcinoma, combined positive score
List of contributors:
Canini, Valentina; Eccher, Albino; D'Amati, Giulia; Fusco, Nicola; Maffini, Fausto; Lepanto, Daniela; Martini, Maurizio; Cazzaniga, Giorgio; Paliogiannis, Panagiotis; Lobrano, Renato; L'Imperio, Vincenzo; Pagni, Fabio
Authors of the University:
MARTINI Maurizio
Handle:
https://iris.unime.it/handle/11570/3300929
Full Text:
https://iris.unime.it//retrieve/handle/11570/3300929/727669/3300929.pdf
Published in:
JOURNAL OF CLINICAL MEDICINE
Journal
  • Overview

Overview

URL

https://www.mdpi.com/2077-0383/13/5/1240
  • Guide
  • Help
  • Accessibility
  • Privacy
  • Use of cookies
  • Legal notes

Powered by VIVO | Designed by Cineca | 26.4.5.0