Interobserver reliability in the histopathologic diagnosis of oral pre‐malignant and malignant lesions

Fischer, Dena J.; Epstein, Joel B.; Morton, Thomas Hellman; Schwartz, Stephen M.

doi:10.1111/j.1600-0714.2004.0037n.x

Cited by 111 publications

(75 citation statements)

References 19 publications

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“…For laryngeal cases, the kappa value was 0.32 in the series by McLaren et al [11] with WHOC. There are other series with categories censored, but we do not believe that these series reflect the IA of WHOC [14,15]. The lack of data about the IA of the head and neck lesions by LC and SINC is the basis of this study, in addition to providing more data about the IA of WHOC.…”

Section: Discussionmentioning

confidence: 92%

“…There are a few studies about the IA of WHOC for head and neck lesions [8][9][10][11][12][13][14][15][16][17][18], but there are no data for LC and SINC [14]. In the present study, IA of laryngeal biopsies has been evaluated by WHOC, LC and SINC by multiple observers, in order to determine which of the classifications is better than the others.…”

Section: Introductionmentioning

confidence: 97%

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Inter-observer Agreement in Laryngeal Pre-neoplastic Lesions

Sarıoğlu

Çakalağaoğlu²,

Elagöz

et al. 2010

Head and Neck Pathol

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In this series, laryngeal preneoplastic lesions were evaluated by the classifications of the World Health Organization (WHOC), Ljubljana (LC) and squamous intraepithelial neoplasia (SINC) by multiple observers. The inter-observer agreement (IA) by WHOC for laryngeal lesions had been previously evaluated, but to the best of our knowledge, there are no data for LC and SINC. H&E stained slides from 42 laryngeal biopsies were evaluated by fourteen participants according to WHOC and LC, and SINC was additionally applied by 6. The results were analyzed statistically. The diagnoses which were favored by most participants for each case, according to WHOC, were as follows: squamous cell hyperplasia (n = 5; 12%), mild dysplasia (n = 11; 26.2%), moderate dysplasia (n = 12; 28.6%), severe dysplasia (n = 7; 16.7%), carcinoma in situ (n = 5; 12%), and invasive squamous cell carcinoma (n = 2; 4.8%). There was a significant difference between the participants for all three classifications; some participants gave lower or higher scores than the others. The mean correlation coefficients (MCC) of the participants were higher for WHOC compared to LC (0.55 ± 0.15 and 0.48 ± 0.14, respectively). The mean linear-weighted kappa (wKappa) values of participants were not significantly different (0.42 ± 0.10, 0.41 ± 0.12 and 0.37 ± 0.07 for WHOC, LC and SINC, respectively). The kappa values in this series are in agreement with those in previous literature for WHOC, and the similar results obtained for LC and SINC are novel findings. Although the MCC of WHOC was higher, as the wkappa was not significantly different, the findings in this series are not in favor of any of the classifications for better IA for preneoplastic laryngeal lesions.

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Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 97%

Inter-observer Agreement in Laryngeal Pre-neoplastic Lesions

Sarıoğlu

Çakalağaoğlu²,

Elagöz

et al. 2010

Head and Neck Pathol

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“…To further complicate mild dysplasia diagnosis, intraobserver and interobserver variability of grading of mild dysplasia is high. 39 A biomarker to identify those mild dysplastic lesions that are most likely to progress would be valuable to clinicians. Further study is needed to assess whether these optical measurements can be used to identify these mild dysplastic lesions that are most likely to progress.…”

Section: Discussionmentioning

confidence: 99%

Vital-dye-enhanced multimodal imaging of neoplastic progression in a mouse model of oral carcinogenesis

Hellebust

Rosbach

Wu³

et al. 2013

J. Biomed. Opt

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Abstract. In this longitudinal study, a mouse model of 4-nitroquinoline 1-oxide chemically induced tongue carcinogenesis was used to assess the ability of optical imaging with exogenous and endogenous contrast to detect neoplastic lesions in a heterogeneous mucosal surface. Widefield autofluorescence and fluorescence images of intact 2-NBDG-stained and proflavine-stained tissues were acquired at multiple time points in the carcinogenesis process. Confocal fluorescence images of transverse fresh tissue slices from the same specimens were acquired to investigate how changes in tissue microarchitecture affect widefield fluorescence images of intact tissue. Widefield images were analyzed to develop and evaluate an algorithm to delineate areas of dysplasia and cancer. A classification algorithm for the presence of neoplasia based on the mean fluorescence intensity of 2-NBDG staining and the standard deviation of the fluorescence intensity of proflavine staining was found to separate moderate dysplasia, severe dysplasia, and cancer from non-neoplastic regions of interest with 91% sensitivity and specificity. Results suggest this combination of noninvasive optical imaging modalities can be used in vivo to discriminate non-neoplastic from neoplastic tissue in this model with the potential to translate this technology to the clinic. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…The large number of factors in this grading system would appear to be the basis of the many problems associated with the subjectivity of diagnosis Karabulut et al 1995;Holmstrup et al 2006). Accordingly, examination of the universality (inter-observer variability) and reproducibility (intra-observer variability) of this grading system for diagnosis has been carried out in recent years (Warnakulasuriya et al 2007;Kujan et al 2006;Kujan et al 2007;Ficher et al 2004;Tabor et al 2003;Abbey et al 1995;Brothwell et al 2003;Speight et al 1996) to sharply discriminate "indolent" low grade lesions, potentially reversible, from throughly preneoplastic high grade lesions. To this end, a novel binary grading system (low risk and high risk) designed to simplify the WHO classification and to raise the reproducibility of diagnosis has been advocated (Jares et al 1994;Califano et al 1996).…”

Section: Who Classificationmentioning

confidence: 99%