Frontiers in Oncology (May 2024)

Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system

  • Pedro Davila-Piñón,
  • Pedro Davila-Piñón,
  • Alba Nogueira-Rodríguez,
  • Alba Nogueira-Rodríguez,
  • Astrid Irene Díez-Martín,
  • Astrid Irene Díez-Martín,
  • Laura Codesido,
  • Laura Codesido,
  • Jesús Herrero,
  • Jesús Herrero,
  • Jesús Herrero,
  • Manuel Puga,
  • Manuel Puga,
  • Manuel Puga,
  • Laura Rivas,
  • Laura Rivas,
  • Laura Rivas,
  • Eloy Sánchez,
  • Eloy Sánchez,
  • Eloy Sánchez,
  • Florentino Fdez-Riverola,
  • Florentino Fdez-Riverola,
  • Daniel Glez-Peña,
  • Daniel Glez-Peña,
  • Miguel Reboiro-Jato,
  • Miguel Reboiro-Jato,
  • Hugo López-Fernández,
  • Hugo López-Fernández,
  • Joaquín Cubiella,
  • Joaquín Cubiella,
  • Joaquín Cubiella

DOI
https://doi.org/10.3389/fonc.2024.1393815
Journal volume & issue
Vol. 14

Abstract

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BackgroundPolyDeep is a computer-aided detection and classification (CADe/x) system trained to detect and classify polyps. During colonoscopy, CADe/x systems help endoscopists to predict the histology of colonic lesions.ObjectiveTo compare the diagnostic performance of PolyDeep and expert endoscopists for the optical diagnosis of colorectal polyps on still images.MethodsPolyDeep Image Classification (PIC) is an in vitro diagnostic test study. The PIC database contains NBI images of 491 colorectal polyps with histological diagnosis. We evaluated the diagnostic performance of PolyDeep and four expert endoscopists for neoplasia (adenoma, sessile serrated lesion, traditional serrated adenoma) and adenoma characterization and compared them with the McNemar test. Receiver operating characteristic curves were constructed to assess the overall discriminatory ability, comparing the area under the curve of endoscopists and PolyDeep with the chi- square homogeneity areas test.ResultsThe diagnostic performance of the endoscopists and PolyDeep in the characterization of neoplasia is similar in terms of sensitivity (PolyDeep: 89.05%; E1: 91.23%, p=0.5; E2: 96.11%, p<0.001; E3: 86.65%, p=0.3; E4: 91.26% p=0.3) and specificity (PolyDeep: 35.53%; E1: 33.80%, p=0.8; E2: 34.72%, p=1; E3: 39.24%, p=0.8; E4: 46.84%, p=0.2). The overall discriminative ability also showed no statistically significant differences (PolyDeep: 0.623; E1: 0.625, p=0.8; E2: 0.654, p=0.2; E3: 0.629, p=0.9; E4: 0.690, p=0.09). In the optical diagnosis of adenomatous polyps, we found that PolyDeep had a significantly higher sensitivity and a significantly lower specificity. The overall discriminative ability of adenomatous lesions by expert endoscopists is significantly higher than PolyDeep (PolyDeep: 0.582; E1: 0.685, p < 0.001; E2: 0.677, p < 0.0001; E3: 0.658, p < 0.01; E4: 0.694, p < 0.0001).ConclusionPolyDeep and endoscopists have similar diagnostic performance in the optical diagnosis of neoplastic lesions. However, endoscopists have a better global discriminatory ability than PolyDeep in the optical diagnosis of adenomatous polyps.

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