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Comparison of four different displays for identification of select pathologic features extracted from whole slide images of surgical pathology cases.
Shaker, Nada; Shilo, Konstantin; Esnakula, Ashwini K; Shafi, Saba; Challa, Bindu; Patel, Ankush; Kellough, David A; Hammond, Scott; Javaid, Sehrish; Satturwar, Swati; Yearsley, Martha M; Li, Zaibo; Limbach, Abberly Lott; Lujan, Giovanni; Parwani, Anil V.
Afiliação
  • Shaker N; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address: Nada.Shaker@osumc.edu.
  • Shilo K; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Esnakula AK; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Shafi S; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Challa B; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Patel A; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Kellough DA; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Hammond S; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Javaid S; Woody L. Hunt School of Dental Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.
  • Satturwar S; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Yearsley MM; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Li Z; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Limbach AL; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Lujan G; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Parwani AV; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Pathol Res Pract ; 251: 154843, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37826873
ABSTRACT

BACKGROUND:

The establishment of minimum standards for display selection for the whole slide image (WSI) interpretation has not been fully defined. Recently, pathologists have increasingly preferred using remote displays for clinical diagnostics. Our study aims to assess and compare the performance of three fixed work displays and one remote personal display in accurately identifying ten selected pathologic features integrated into WSIs.

DESIGN:

Hematoxylin and eosin-stained glass slides were digitized using Philips scanners. Seven practicing pathologists and three residents reviewed ninety WSIs to identify ten pathologic features using the LG, Dell, and Samsung and an optional consumer-grade display. Ten pathologic features included eosinophils, neutrophils, plasma cells, granulomas, necrosis, mucin, hemosiderin, crystals, nucleoli, and mitoses.

RESULTS:

The accuracy of the identification of ten features on different types of displays did not significantly differ among the three types of "fixed" workplace displays. The highest accuracy was observed for the identification of neutrophils, eosinophils, plasma cells, granuloma, and mucin. On the other hand, a lower accuracy was observed for the identification of crystals, mitoses, necrosis, hemosiderin, and nucleoli. Participant pathologists and residents preferred the use of larger displays (>30″) with a higher pixel count, resolution, and luminance.

CONCLUSION:

Most features can be identified using any display. However, certain features posed more challenges across the three fixed display types. Furthermore, the use of a remote personal consumer-grade display chosen according to the pathologists' preference showed similar feature identification accuracy. Several factors of display characteristics seemed to influence pathologists' display preferences such as the display size, color, contrast ratio, pixel count, and luminance calibration. This study supports the use of standard "unlocked" vendor-agnostic displays for clinical digital pathology workflow rather than purchasing "locked" and more expensive displays that are part of a digital pathology system.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Cirúrgica / Microscopia Limite: Humans Idioma: En Revista: Pathol Res Pract Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Cirúrgica / Microscopia Limite: Humans Idioma: En Revista: Pathol Res Pract Ano de publicação: 2023 Tipo de documento: Article