Literature DB >> 27377175

Semi-Automatic Rating Method for Neutrophil Alkaline Phosphatase Activity.

Kanae Sugano1, Kotomi Hashi2, Misaki Goto3, Kiyotaka Nishi4, Rie Maeda5, Keigo Kono6, Mai Yamamoto6, Kazunori Okada7, Sanae Kaga7, Keiko Miwa7,8, Taisei Mikami7, Nobuo Masauzi7.   

Abstract

BACKGROUND: The neutrophil alkaline phosphatase (NAP) score is a valuable test for the diagnosis of myeloproliferative neoplasms, but it has still manually rated. Therefore, we developed a semi-automatic rating method using Photoshop® and Image-J, called NAP-PS-IJ.
METHODS: Neutrophil alkaline phosphatase staining was conducted with Tomonaga's method to films of peripheral blood taken from three healthy volunteers. At least 30 neutrophils with NAP scores from 0 to 5+ were observed and taken their images. From which the outer part of neutrophil was removed away with Image-J. These were binarized with two different procedures (P1 and P2) using Photoshop® . NAP-positive area (NAP-PA) and granule (NAP-PGC) were measured and counted with Image-J.
RESULTS: The NAP-PA in images binarized with P1 significantly (P < 0.05) differed between images with NAP scores from 0 to 3+ (group 1) and those from 4+ to 5+ (group 2). The original images in group 1 were binarized with P2. NAP-PGC of them significantly (P < 0.05) differed among all four NAP score groups. The mean NAP-PGC with NAP-PS-IJ indicated a good correlation (r = 0.92, P < 0.001) to results by human examiners.
CONCLUSIONS: The sensitivity and specificity of NAP-PS-IJ were 60% and 92%, which might be considered as a prototypic method for the full-automatic rating NAP score.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Image-J; Photoshop; Tomonaga's method; digital image processing; granule counting

Mesh:

Substances:

Year:  2016        PMID: 27377175      PMCID: PMC6817269          DOI: 10.1002/jcla.22022

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  7 in total

1.  [STUDIES ON LEUKOCYTE ALKALINE PHOSPHATASE. I. USE OF THE NAPHTHOL AS-MX PHOSPHATE-FAST BLUE RR STAINING METHOD].

Authors:  M TOMONAGA; T SASAKI; M OKUZAKI
Journal:  Nihon Ketsueki Gakkai Zasshi       Date:  1963-04

2.  Clinical features of Japanese polycythemia vera and essential thrombocythemia patients harboring CALR, JAK2V617F, JAK2Ex12del, and MPLW515L/K mutations.

Authors:  Masahiro Okabe; Hiroki Yamaguchi; Kensuke Usuki; Yutaka Kobayashi; Eri Kawata; Junya Kuroda; Shinya Kimura; Kenji Tajika; Seiji Gomi; Nobuyoshi Arima; Sinichiro Mori; Shigeki Ito; Masayuki Koizumi; Yoshikazu Ito; Satoshi Wakita; Kunihito Arai; Tomoaki Kitano; Fumiko Kosaka; Kazuo Dan; Koiti Inokuchi
Journal:  Leuk Res       Date:  2015-11-10       Impact factor: 3.156

3.  An automated image analysis method for the measurement of neutrophil alkaline phosphatase in the prenatal screening of Down syndrome.

Authors:  T Tafas; H S Cuckle; S Nasr; E L Krivchenia; E Resvani; M I Evans
Journal:  Fetal Diagn Ther       Date:  1996 Jul-Aug       Impact factor: 2.587

4.  Assessment of leukocyte alkaline phosphatase by image analysis.

Authors:  L S Kaplow; J Y Crouch; J A Meyers; H Kunz; G L Garcia
Journal:  Ann N Y Acad Sci       Date:  1986       Impact factor: 5.691

5.  Semiautomated Segmentation and Measurement of Cytoplasmic Vacuoles in a Neutrophil With General-Purpose Image Analysis Software.

Authors:  Maki Mizukami; Misaki Yamada; Sayaka Fukui; Nao Fujimoto; Shigeru Yoshida; Sanae Kaga; Keiko Obata; Shigeki Jin; Keiko Miwa; Nobuo Masauzi
Journal:  J Clin Lab Anal       Date:  2016-04-07       Impact factor: 2.352

6.  Recommended methods for cytological procedures in haematology. International Committee for Standardization in Haematology (ICSH).

Authors:  A Shibata; J M Bennett; G L Castoldi; D Catovsky; G Flandrin; E S Jaffe; I Katayama; K Nanba; F Schmalzl; L T Yam
Journal:  Clin Lab Haematol       Date:  1985

7.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
Journal:  Bone Marrow Transplant       Date:  2012-12-03       Impact factor: 5.483

  7 in total
  2 in total

1.  Quantitative distinction of the morphological characteristic of erythrocyte precursor cells with texture analysis using gray level co-occurrence matrix.

Authors:  Keigo Kono; Ruka Hayata; Satoru Murakami; Mai Yamamoto; Maiko Kuroki; Kana Nanato; Kazuto Takahashi; Keiko Miwa; Yutaka Tsutsumi; Kazunori Okada; Sanae Kaga; Taisei Mikami; Nobuo Masauzi
Journal:  J Clin Lab Anal       Date:  2017-02-21       Impact factor: 2.352

2.  Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells.

Authors:  Iori Nakamura; Haruhi Ida; Mayu Yabuta; Wataru Kashiwa; Maho Tsukamoto; Shigeki Sato; Syuichi Ota; Naoki Kobayashi; Hiromi Masauzi; Kazunori Okada; Sanae Kaga; Keiko Miwa; Hiroshi Kanai; Nobuo Masauzi
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.