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

Triantafyllos Tafas, Howard S. Cuckle, Sharif Nasr, Eric L. Krivchenia, Eleni Resvani, Mark I. Evans

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Objectives: (1) To develop an image analysis method for the measurement of neutrophil alkaline phosphatase (NAP); (2) To establish a correlation of urea-resistant fraction of NAP (URNAP)/NAP scoring between the manual and automated methods, and (3) to assess the value of URNAP/NAP in the prenatal screening of Down syndrome. Study Design: Slides from 15 unaffected controls were blindly scored by both methods. The Pearson test was used for correlation analysis. Slides from 15 Down syndrome pregnancies and 25 unaffected controls were scored manually. Results: A coefficient r = 0.93 was obtained comparing the URNAP/NAP scores generated by the two methods. Average time for scoring by the automated method was 8 min. The median URNAP/NAP values for Down syndrome and unaffected controls were 112/86.1 and 51/51.5, respectively. Conclusions: Scores obtained by both methods highly correlate. Automated scoring is threefold faster. Down syndrome cases have higher URNAP/NAP scores compared to unaffected controls, which suggests that URNAP/NAP is an extremely useful marker for mid-trimester prenatal screening.

Original languageEnglish
Pages (from-to)254-259
Number of pages6
JournalFetal Diagnosis and Therapy
Volume11
Issue number4
DOIs
StatePublished - 1 Jan 1996
Externally publishedYes

Keywords

  • Automation
  • Down syndrome
  • Image analysis
  • Neutrophil alkaline phosphatase
  • Prenatal screening

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