Determining the Utility and Effectiveness of the NeoPath AutoPap 300 QC System Used Routinely

Fetterman, Barbara; Pawlick, Gene F.; Koo, Howard; Hartinger, James S.; Gilbert, Carol; Connell, Sheryl

doi:10.1159/000330862

Cited by 20 publications

(9 citation statements)

References 6 publications

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“…Our study determined that the FNR is 1.19%, which is higher than in the previous studies. On the other hand, studies in the USA observed the FNR to be 1.43% [5], 1.18% [6], 1.29% [12] and 1.13% [13]; the FNR in our study is similar to these.…”

Section: Discussionsupporting

confidence: 81%

“…Several US studies, which also utilized FocalPoint and were performed under similar conditions to ours, determined that the HSIL+/FN rates were 8.00% (4/50, QC = 13.8%) [5], 7.75% (11/142, QC = 20%) [6], 15.90% (7/44, QC = 10%) [12] and 3.68% (13/353, QC = 10%) [13]; the HSIL+/FN rate (34.2%) in our study is, however, significantly higher than these.…”

Section: Discussionmentioning

confidence: 94%

“…Previous studies in the USA on QC with 10% random manual rescreening compared with FocalPoint showed that the FN detection rate was 3-8 times higher when rescreened by FocalPoint [5,6,7,12,13,14,15]. When only HSIL+ cases were defined as FN, the rates were still 3.5-5.2 times higher [15,16,17].…”

Section: Discussionmentioning

confidence: 99%

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A Multi-Institutional Feasibility Study on the Use of Automated Screening Systems for Quality Control Rescreening of Cervical Cytology

Sugiyama¹,

Sasaki

Komatsu

et al. 2016

Acta Cytologica

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Objective: To evaluate the efficacy of the automated screening system FocalPoint for cervical cytology quality control (QC) rescreening. False-negative rates (FNRs) were evaluated by a multi-institutional retrospective study. Study Design: Cervical cytology slides that had already been reported as negative for intraepithelial lesion or malignancy (NILM) were chosen arbitrarily for FocalPoint rescreening. Slides stratified into the highest 15% probability of being abnormal were rescreened by a cytotechnologist. The slides that were abnormal were reevaluated by a cytopathologist to be false negatives. Results: Rescreening of 12,000 slides, i.e. 9,000 conventional slides and 3,000 liquid-based cytology (LBC) slides, was performed; 9,826 (7,393 conventional and 2,433 LBC) were satisfactory for FocalPoint (2,174 were determined unsatisfactory) and those within the highest 15% of probability (1,496, i.e. 1,123 conventional and 373 LBC) were rescreened. As a result, 117 (96 conventional and 21 LBC) were determined as abnormal (other than NILM) and the FNR was 1.19%. Among these 117 slides, 40 (35 conventional and 5 LBC) were determined as high-grade squamous intraepithelial lesion and greater (HSIL+). Conclusion: Of 117 (1.19%) abnormal slides detected, 40 (0.41%) were determined to be HSIL+. This result suggests that FocalPoint is effective for QC rescreening of cervical cytology.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 94%

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A Multi-Institutional Feasibility Study on the Use of Automated Screening Systems for Quality Control Rescreening of Cervical Cytology

Sugiyama¹,

Sasaki

Komatsu

et al. 2016

Acta Cytologica

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“…Alternative techniques, aimed at eliminating subjective diagnoses by cytological screeners, have been pursued. One approach to minimize the error rate in cervical cytology has been to use automated image analysis systems coupled with artificial neural networks (ANNs) to reduce the labor and time necessary to rescreen for false-negatives [16,17]. Another approach has been to improve the quality of slide preparation through the implementation of liquid-based or "thin-prep" methods [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

Wood

Chiriboga

Yee

et al. 2004

Gynecologic Oncology

209

164

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Objective-This paper is aimed at establishing infrared spectral patterns for the different tissue types found in, and for different stages of disease of squamous cervical epithelium. Methods for the unsupervised distinction of these tissue types are discussed.Methods-Fourier transform infrared (FTIR) maps of the squamous and glandular cervical epithelium, and of the cervical transformation zone, were obtained and analyzed by multivariate unsupervised hierarchical cluster methods. The resulting clusters are correlated to the corresponding stained histopathological features in the tissue sections.Results-Multivariate statistical analysis of FTIR spectra collected for tissue sections permit an unsupervised method of distinguishing tissue types, and of differentiating between normal and diseased tissue. By analyzing different spectral windows and comparing the results with histology, we found the amide I and II region (1740-1470 cm −1 ) to be very important in correlating anatomical and histopathological features in tissue to spectral clusters. Since an unsupervised, rather than a diagnostic, algorithm was used in these efforts, no statistical analysis of false-positive/false-negative results is reported at this time.Conclusions-The combination of FTIR micro-spectroscopy and multivariate spectral processing provides important insights into the fundamental spectral signatures of individual cells and consequently shows potential as a diagnostic tool for cervical cancer.

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“…Both devices were initially approved for quality control rescreening, arguably a “hard nut to crack” in the commercial clinical arena. However, in laboratories where QC automation was implemented, small, but quantifiable and significant improvements were noted, namely in the reduced numbers of false-negative Pap tests [10,11]. Of course, the manufacturers had no intention of stopping with QC applications and they continued with FDA applications for primary screening - more robust economic business plans!…”

mentioning

confidence: 99%

Dr. Bibbo's Presidential Address on Automation in Cytology: Were Her Predictions Right, Wrong, or Somewhere in the Middle?

Wilbur

2017

Acta Cytologica

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In 1983, Dr. Marluce Bibbo gave the Presidential Address at the Annual Meeting of the American Society of Cytology in Denver, CO, USA. The lecture was entitled “Analytic and Quantitative Cytology,” a field in which Dr. Bibbo was intimately involved. In the presentation, she included a summary of 30 years of work already accomplished, the present state of the art, and musings about issues encountered, potential resolutions, progress that needed to be made, and her perception of how the field needed to evolve in order to become ultimately successful as a clinical service. This commentary looks back 34 years, with observations about Dr. Bibbo's predictions and how the field of cytology automation did actually evolve in the decades following her address. New challenges are identified and possible paths forward are discussed.

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Determining the Utility and Effectiveness of the NeoPath AutoPap 300 QC System Used Routinely

Cited by 20 publications

References 6 publications

A Multi-Institutional Feasibility Study on the Use of Automated Screening Systems for Quality Control Rescreening of Cervical Cytology

A Multi-Institutional Feasibility Study on the Use of Automated Screening Systems for Quality Control Rescreening of Cervical Cytology

Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

Dr. Bibbo's Presidential Address on Automation in Cytology: Were Her Predictions Right, Wrong, or Somewhere in the Middle?

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