2009
DOI: 10.2353/jmoldx.2009.080101
|View full text |Cite
|
Sign up to set email alerts
|

Statistical Treatment of Fluorescence in Situ Hybridization Validation Data to Generate Normal Reference Ranges Using Excel Functions

Abstract: Fluorescent in situ hybridization has become an essential tool for diagnosing and monitoring hematological disease. Testing for minimal residual disease requires precise and accurate normal cut-offs. There is no consensus in the field on the correct method of establishing a normal reference range. We discuss and compare several proposed statistical methods to calculate normal reference ranges, including Gaussian statistics, the beta inverse function, and a binomial treatment of the data. We demonstrate that a … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
18
0

Year Published

2012
2012
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(18 citation statements)
references
References 8 publications
(14 reference statements)
0
18
0
Order By: Relevance
“…The beta inverse formula does not allow a cutoff of zero. 19 Ten specimens, including normal cases and cases with MLL rearrangement confirmed by another method, were then examined in a blinded fashion for detection of different MLL abnormalities in patient samples. Specimens known to have 11q23 rearrangement by cytogenetics were selected as a gold standard to validate the cutoff values.…”
Section: Reference Range (Normal Cutoff)mentioning
confidence: 99%
“…The beta inverse formula does not allow a cutoff of zero. 19 Ten specimens, including normal cases and cases with MLL rearrangement confirmed by another method, were then examined in a blinded fashion for detection of different MLL abnormalities in patient samples. Specimens known to have 11q23 rearrangement by cytogenetics were selected as a gold standard to validate the cutoff values.…”
Section: Reference Range (Normal Cutoff)mentioning
confidence: 99%
“…The definition of false positive signal pattern was less than 2 red signals for TP53 /CEP17, any yellow fusion signal for t(4;14) IGH / FGFR3 or t(14;16) IGH / MAF , and more than 2 red signals for chromosome 1q CKS1B / CDKN2C . The critical binomial function of the Microsoft Excel spreadsheet was used to determine the 95 % confidence limit of normal cutoff value [ 13 ]. The normal cutoff value for TP53 /CEP17 was 3.4 %, t(4;14) IGH / FGFR3 was 6.8 %, t(14;16) IGH / MAF was 5.6 % and chromosome 1q CKS1B / CDKN2C was 5.7 %.…”
Section: Resultsmentioning
confidence: 99%
“…Based on FISH analysis of 18 normal pancreatic tissue samples in a preliminary study, cutoff values for the normal range for FISH analysis were calculated using the Excel 2013 (Microsoft Corp., Redmond, WA, USA) statistical function CRITBINOM (n, p, α) with a confidence level of 95% (Table 1). 24 When the percentage of cells containing >2 or <2 FISH signals exceeded the cutoff value, cases were interpreted as positive for polysomy (gain) or monosomy (deletion), respectively.…”
Section: Fluorescence In Situ Hybridizationmentioning
confidence: 99%