Literature DB >> 29914726

Interobserver concordance of assessments of dysplasia and blast counts for the diagnosis of patients with cytopenia: From the Japanese central review study.

Akira Matsuda1, Hiroshi Kawabata2, Kaoru Tohyama3, Tomoya Maeda4, Kayano Araseki5, Tomoko Hata6, Takahiro Suzuki7, Hidekazu Kayano8, Kei Shimbo9, Kensuke Usuki10, Shigeru Chiba11, Takayuki Ishikawa12, Nobuyoshi Arima13, Masaharu Nohgawa14, Akiko Ohta15, Yasushi Miyazaki6, Sinnji Nakao16, Keiya Ozawa17, Shunya Arai18, Mineo Kurokawa18, Kinuko Mitani19, Akifumi Takaori-Kondo20.   

Abstract

The diagnosis of myelodysplastic syndromes (MDS) is based on morphology and cytogenetics. However, limited information is currently available on the interobserver concordance of the assessment of dysplastic lineages (<10% or ≥10% in bone marrow (BM)). The revised International Prognostic Scoring System (IPSS-R) described a new threshold (2%) for BM blasts. However, the interobserver concordance of the categories (0-≤2% and >2-<5%) has limited data. The purpose of the present study was to investigate the assessment of dysplastic lineages and IPSS-R reproducibility. Our study was divided into two Steps. In each Step, the microscopic examinations were performed separately by two morphologists. Regarding the category of BM blasts ≤2% and >2-<5%, interobserver agreement was more than 'moderate' in all pairs (kappa test: 0.43-0.90). Regarding dysgranulopoiesis (dysG) and dyserythropoiesis (dysE) in BM, interobserver agreement was more than 'moderate' in all pairs (kappa test, dysG: 0.45-0.96, dysE: 0.45-0.81). Regarding the category of dysmegakaryopoiesis (dysMgk) in BM, interobserver agreement was more than moderate in 4 out of 5 pairs (kappa test: 0.58-1.00), and was fair for one pair (kappa test: 0.37). We consider that high interobserver concordance may be possible for the BM blast cell count (≤2% or >2-<5%) and dysplasia (<10% or ≥10%) of each lineage.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aplastic anemia; Dysplasia; Interobserver concordance; Myeloblasts; Myelodysplastic syndromes

Mesh:

Year:  2018        PMID: 29914726     DOI: 10.1016/j.leukres.2018.06.003

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  1 in total

1.  Assessment of dysplasia in bone marrow smear with convolutional neural network.

Authors:  Jinichi Mori; Shizuo Kaji; Hiroki Kawai; Satoshi Kida; Masaharu Tsubokura; Masahiko Fukatsu; Kayo Harada; Hideyoshi Noji; Takayuki Ikezoe; Tomoya Maeda; Akira Matsuda
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

  1 in total

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