Automated detection of rare fetal cells in maternal blood: eliminating the false-positive XY signals in XX pregnancies

Kilpatrick, Michael W.; Tafas, Triantafyllos; Evans, Mark I.; Jackson, Laird G.; Antsaklis, Aristeidis; Brambati, B.; Tsipouras, Petros

doi:10.1016/j.ajog.2004.03.055

Cited by 29 publications

(27 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Between 90 and 100% of cells deposited on slides were detected down to a dilution of one C32 cell micropipetted into 8 ml of blood and similar results were obtained using the LNCaP prostate carcinoma cells. Figure 1 shows screen captures of the Viewer software that displays the data produced by the Ikoniscope scanning system ( Figure 1C) (Kilpatrick et al, 2004;Evans et al, 2006). Figure 1A shows a high magnification (Â 100) target gallery screen displaying images of identified C32 cells.…”

Section: Resultsmentioning

confidence: 99%

“…Identification and quantification of immunolabelled cells and FISH analysis were performed using the Ikoniscope s imaging system (Kilpatrick et al, 2004;Evans et al, 2006;Ntouroupi et al, 2007). The Ikoniscope robotic, high-throughput, image acquisition and display microscopy system, is developed by Ikonisys for rare cell identification and analysis.…”

Section: Robotic Fluorescence Microscopymentioning

confidence: 99%

See 1 more Smart Citation

Detection of circulating tumour cells in peripheral blood with an automated scanning fluorescence microscope

et al. 2008

View full text Add to dashboard Cite

We have developed an automated, highly sensitive and specific method for identifying and enumerating circulating tumour cells (CTCs) in the blood. Blood samples from 10 prostate, 25 colorectal and 4 ovarian cancer patients were analysed. Eleven healthy donors and seven men with elevated serum prostate-specific antigen (PSA) levels but no evidence of malignancy served as controls. Spiking experiments with cancer cell lines were performed to estimate recovery yield. Isolation was performed either by density gradient centrifugation or by filtration, and the CTCs were labelled with monoclonal antibodies against cytokeratins 7/8 and either AUA1 (against EpCam) or anti-PSA. The slides were analysed with the Ikoniscope s robotic fluorescence microscope imaging system. Spiking experiments showed that less than one epithelial cell per millilitre of blood could be detected, and that fluorescence in situ hybridisation (FISH) could identify chromosomal abnormalities in these cells. No positive cells were detected in the 11 healthy control samples. Circulating tumour cells were detected in 23 out of 25 colorectal, 10 out of 10 prostate and 4 out of 4 ovarian cancer patients. Five samples (three colorectal and two ovarian) were analysed by FISH for chromosomes 7 and 8 combined and all had significantly more than four dots per cell. We have demonstrated an Ikoniscope s based relatively simple and rapid procedure for the clear-cut identification of CTCs. The method has considerable promise for screening, early detection of recurrence and evaluation of treatment response for a wide variety of carcinomas.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Robotic Fluorescence Microscopymentioning

confidence: 99%

Detection of circulating tumour cells in peripheral blood with an automated scanning fluorescence microscope

et al. 2008

View full text Add to dashboard Cite

show abstract

“…The problem emerges especially in case of objectives featured with low DOF (see above). Since this error causes bias in results, image capture in different focus planes and construction of images displaying all FISH signals are basic requirements nowadays (30,32,35,40,44,70,71). Fluorescence microscopy coupled with motorized scanning stage can adequately fulfill this requisite.…”

Section: Sequence Of Analysismentioning

confidence: 99%

“…While the technological and computational development continued with undiminished energy during the following years (22,35,38,41,44,46,60,61,66,(81)(82)(83)(84)(85)(86)(87)(88)(89)(90)(91)(92)(93), even more emphasis was laid on practical approaches and a broad spectrum of clinical applications appeared in the beginning of the 21st century.…”

Section: Wide Range Of Applicationsmentioning

confidence: 99%

“…Aneusomies mentioned above were detected in amniotic fluid cells as well by several groups, achieving significant advances in high-throughput prenatal diagnostics (36,45,50,83,112). Automated i-FISH analysis has also been applied to non-invasive approaches of prenatal screening, i.e., analysis of fetal cells obtained from the cervix (113) or harvested from the maternal blood (29,44). To improve the efficacy of rare fetal cell detection in maternal blood, immunophenotypical preselection based on fetal hemoglobin staining has been introduced by Seppo et al and Oosterwijk et al (51,114).…”

Section: Wide Range Of Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

State‐of‐the‐art FISHing: Automated analysis of cytogenetic aberrations in interphase nuclei

et al. 2012

View full text Add to dashboard Cite

Interphase fluorescence in situ hybridization (i‐FISH) is a powerful tool for visualizing various molecular targets in non‐dividing cells. Manual scoring of i‐FISH signals is a labor intensive, time‐consuming, and error‐prone process liable to subjective interpretation. Automated evaluation of signal patterns provides the opportunity to overcome these difficulties. The first report on automated i‐FISH analysis has been published 20 years ago and since then several applications have been introduced in the fields of oncology, and prenatal and fertility screening. In this article, we provide an insight into the automated i‐FISH analysis including its course, brief history, clinical applications, and advantages and challenges. The lack of guidelines for describing new automated i‐FISH methods hampers the precise comparison of performance of various applications published, thus, we make a proposal for a panel of parameters essential to introduce and standardize new applications and reproduce previously described technologies. © 2012 International Society for Advancement of Cytometry

show abstract

Digitized microscopy in the diagnosis of bladder cancer

Marganski¹,

Costa²,

Kilpatrick³

et al. 2011

Cancer Cytopathology

Self Cite

View full text Add to dashboard Cite

BACKGROUND:Fluorescent in situ hybridization (FISH) analysis of urine samples has proven to be a valuable adjunctive test to urine cytology for both diagnosis and monitoring recurrence of urothelial carcinoma. Automated FISH analysis has the potential to improve laboratory efficiency and to reduce interobserver and intraobserver variability, resulting in more accurate, reproducible, assay performance.METHODS:A total of 3200 slides containing urine specimens, hybridized with the UroVysion Bladder Cancer Kit (Abbott Molecular, Des Plaines, Illinois), a 4‐probe set for chromosomes 3, 7, 17, and 9p21, was evaluated at Acupath Laboratories. The slides were analyzed over a 7‐month period, using the Ikoniscope ‐ oncoFISH bladder Test System (Ikonisys, New Haven, Connecticut).RESULTS:Analysis included the incorporation of a “flagging” system developed by Acupath Laboratories to identify cases, based on specific criteria, likely to benefit from further manual review. By using US Food and Drug Administration (FDA)‐cleared scoring criteria, 96.3% of the slides could be reported directly from the automated scan, requiring no manual review of the slide. For the remaining 3.7% of the samples (all of which were very hypocellular), a manual review of each slide subsequently allowed diagnoses to be successfully reported. The average scan time was 31.7 minutes, and the average slide scan review time was 8.3 minutes.CONCLUSIONS:This study demonstrated the value of an automated approach to the analysis of FISH slides, affording the benefit of high‐throughput while providing the user with the necessary images and tools to quickly and accurately report a case. Cancer (Cancer Cytopathol) 2011;. © 2011 American Cancer Society.

show abstract

Automated detection of rare fetal cells in maternal blood: eliminating the false-positive XY signals in XX pregnancies

Cited by 29 publications

References 9 publications

Detection of circulating tumour cells in peripheral blood with an automated scanning fluorescence microscope

Detection of circulating tumour cells in peripheral blood with an automated scanning fluorescence microscope

State‐of‐the‐art FISHing: Automated analysis of cytogenetic aberrations in interphase nuclei

Digitized microscopy in the diagnosis of bladder cancer

Contact Info

Product

Resources

About