Literature DB >> 31295382

A validation study of whole slide imaging for primary diagnosis of lymphoma.

Saiful Amin1, Taro Mori1, Tomoo Itoh1.   

Abstract

Whole slide imaging (WSI) is being increasingly used worldwide. Although previous studies have asserted the validity of WSI diagnosis, they have primarily targeted only small specimens and excluded cases requiring immunohistochemistry or special staining, such as lymphoma. The purpose of this study was to evaluate the accuracy of WSI diagnosis of lymphoma, for which 240 biopsies and resections of lymphoma cases were selected from the study set of lymphomas. All slides including H&E, immunohistochemical and special staining were digitized using a WSI image scanner. An experienced pathologist performed the WSI diagnoses, which were compared with original diagnoses based on light microscopic examinations. Discrepancy between the two interpretations were classified into three categories: concordance, minor discrepancy (no clinical significance), and major discrepancy (with clinical significance). Overall concordance between the light microscopic and WSI diagnosis was found in 223 cases (92.92%; 95%CI = 88.90-95.82), minor discrepancy in fifteen (6.25%; 95%CI = 3.54-10.10), and major discrepancy in two (0.83%; 95%CI = 0.10-2.98). Diagnosis of lymphoma using WSI appeared to be mostly accurate, suggesting that WSI may be a reliable technology for the diagnosis of lymphoma.
© 2019 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  diagnosis; lymphoma; validation studies; whole slide imaging

Mesh:

Year:  2019        PMID: 31295382     DOI: 10.1111/pin.12808

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  4 in total

1.  Density and size of lymphoid follicles are useful clues in differentiating primary intestinal follicular lymphoma from intestinal reactive lymphoid hyperplasia.

Authors:  Hsin-Ni Li; Ren Ching Wang; Jun-Peng Chen; Sheng-Tsung Chang; Shih-Sung Chuang
Journal:  Diagn Pathol       Date:  2020-07-07       Impact factor: 2.644

2.  Is the Time Right to Start Using Digital Pathology and Artificial Intelligence for the Diagnosis of Lymphoma?

Authors:  Mohamed E Salama; William R Macon; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2020-06-26

3.  Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis.

Authors:  Anil V Parwani
Journal:  Diagn Pathol       Date:  2019-12-27       Impact factor: 2.644

4.  Discrepancies in digital hematopathology diagnoses for consultation and expert panel analysis.

Authors:  Michiel van den Brand; Peet T G A Nooijen; Kimberly D van der Laan; Peter C de Bruin; A M Gijs van Leeuwen; Jan Willem Leeuwis; Jos W Meijer; Irene Otte-Höller; Konnie M Hebeda
Journal:  Virchows Arch       Date:  2020-08-25       Impact factor: 4.064

  4 in total

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