Liquid-based versus conventional cytology of oral brush biopsies: a split-sample pilot study

Remmerbach, Torsten Wilhelm; Pomjanski, Natalia; Bauer, Ute; Neumann, Heinrich

doi:10.1007/s00784-017-2047-9

Cited by 27 publications

(30 citation statements)

References 23 publications

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“…45 Of note, 7 studies processed oral brush biopsy samples using LBC, 5 of which reported sensitivity and specificity. 10,21,27,44,45 Navone et al 21 showed sensitivity and specificity of 95.1% and 99% in 1 study, and 86.5% and 94.3% in another. 27 The methodological assessments of the included studies in this review are presented in Table 3.…”

Section: Discussionmentioning

confidence: 91%

“…In the context of brush type used, the cytobrush has been utilized in 19 studies. Of these, twelve studies showed sensitivity and specificity of 94.6% and 99.5%, 85.7% and 95.9% using conventional exfoliative cytology and 95.1% and 99.0% using liquid‐based cytology in the same study, 100% and 97.4% using a combination of cytological and DNA‐image cytometry assessment, 79% and 100%, 78% and 96%, 86.5% and 94.3%, 92.3% and 51.7%, 69% and 100%, 70.3% and 77.9%, 84.4% and 88.9%, 100% and 64%,, 96.3% and 90.6% using conventional exfoliative cytology, and 97.5% and 68.7% using liquid‐based cytology in the same study, respectively. The sensitivity and specificity of 7 studies were not reported .…”

Section: Discussionmentioning

confidence: 95%

“…Of note, 7 studies processed oral brush biopsy samples using LBC, 5 of which reported sensitivity and specificity . Navone et al showed sensitivity and specificity of 95.1% and 99% in 1 study, and 86.5% and 94.3% in another .…”

Section: Discussionmentioning

confidence: 99%

“…LBC preparations also show less air drying artifacts and imprecise elements such as blood, inflammation, mucus, and necrotic debris. This revolutionary method to improve cytological diagnosis yielded well‐documented performance and many advantages over conventional cytology as well as producing more homogenous samples than the Pap smear . LBC and its application on oral smears collected using a cytobrush have shown significant improvement allowing the detection of abnormal epithelial cells .…”

Section: Discussionmentioning

confidence: 99%

“…This revolutionary method to improve cytological diagnosis yielded well-documented performance and many advantages over conventional cytology as well as producing more homogenous samples than the Pap smear. 10 LBC and its application on oral smears collected using a cytobrush have shown significant improvement allowing the detection of abnormal epithelial cells. 11 Several studies have demonstrated the feasibility of using immunocytochemical staining and molecular testings using oral LBC samples.…”

Section: Discussionmentioning

confidence: 99%

See 4 more Smart Citations

The utility of oral brush cytology in the early detection of oral cancer and oral potentially malignant disorders: A systematic review

Alsarraf

Kujan

Farah

2017

J Oral Pathology Medicine

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Findings from this study indicate that meaningful evidence-based recommendations for the implementation of a minimally invasive technique to be utilized as an adjunctive tool for screening and early detection of oral cancer and OPMDs are complicated from the reported studies in the literature. There is need for well-designed clinical studies to assess the accuracy of oral brush cytology utilizing validated cytological assessment criteria for the diagnosis and prediction of OPMDs.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

The utility of oral brush cytology in the early detection of oral cancer and oral potentially malignant disorders: A systematic review

Alsarraf

Kujan

Farah

2017

J Oral Pathology Medicine

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A deep learning model using hyperspectral image for EUS‐FNA cytology diagnosis in pancreatic ductal adenocarcinoma

Qin,

Zhang,

Zhou

et al. 2023

Cancer Medicine

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Background and AimsEndoscopic ultrasonography‐guided fine‐needle aspiration/biopsy (EUS‐FNA/B) is considered to be a first‐line procedure for the pathological diagnosis of pancreatic cancer owing to its high accuracy and low complication rate. The number of new cases of pancreatic ductal adenocarcinoma (PDAC) is increasing, and its accurate pathological diagnosis poses a challenge for cytopathologists. Our aim was to develop a hyperspectral imaging (HSI)‐based convolution neural network (CNN) algorithm to aid in the diagnosis of pancreatic EUS‐FNA cytology specimens.MethodsHSI images were captured of pancreatic EUS‐FNA cytological specimens from benign pancreatic tissues (n = 33) and PDAC (n = 39) prepared using a liquid‐based cytology method. A CNN was established to test the diagnostic performance, and Attribution Guided Factorization Visualization (AGF‐Visualization) was used to visualize the regions of important classification features identified by the model.ResultsA total of 1913 HSI images were obtained. Our ResNet18‐SimSiam model achieved an accuracy of 0.9204, sensitivity of 0.9310 and specificity of 0.9123 (area under the curve of 0.9625) when trained on HSI images for the differentiation of PDAC cytological specimens from benign pancreatic cells. AGF‐Visualization confirmed that the diagnoses were based on the features of tumor cell nuclei.ConclusionsAn HSI‐based model was developed to diagnose cytological PDAC specimens obtained using EUS‐guided sampling. Under the supervision of experienced cytopathologists, we performed multi‐staged consecutive in‐depth learning of the model. Its superior diagnostic performance could be of value for cytologists when diagnosing PDAC.

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Accuracy of liquid‐based cytology (LBC) in the oral mucosa according to novel diagnostic guidelines in Japan: Classification of cytology for oral mucosal disease (JSCC, 2015)

Kondô

Oya

Sakai

et al. 2019

Oral Science International

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IntroductionRecently, the applications of liquid‐based cytology (LBC) have been extended to oral cytology, and in 2015, diagnostic guidelines having roots in the Bethesda System for oral exfoliative cytology were published by the Japanese Society of Clinical Cytology (JSCC): Classification of cytology for oral mucosal disease (JSCC, 2015). Here we aimed to evaluate the applicability of LBC in the oral mucosa in accordance with the novel diagnostic guidelines.MethodsTwo preparation techniques (conventional exfoliative cytology [CEC] with LBC and LBC alone) were used in this study. Intraepithelial lesions of the oral mucosa histologically diagnosed by biopsy or resection materials were selected as samples and multiple intraepithelial lesions in a single patient were counted. Deep‐seated lesions under the oral mucosa were excluded. The performance of cytological diagnosis was evaluated in each technique by comparing cytological diagnoses with histological diagnoses in accordance with the diagnostic guidelines.ResultsThe sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of cytological diagnosis in CEC with LBC were 61%, 73%, 86%, 41%, and 64% (P ≤ .023), respectively. For LBC alone, these values were 55%, 79%, 92%, 29%, and 60% (P ≤ .024), respectively. The rates of inadequate samples were 0.83% for CEC with LBC and 1.2% for LBC alone against whole samples.ConclusionLBC showed good specificity, positive predictive value, and low rate of inadequate specimen, so it was suitable for oral cytology. The data used for this study reflect a large contribution in daily medical examination.

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Liquid-based versus conventional cytology of oral brush biopsies: a split-sample pilot study

Abstract: LBC facilitates the cell collection due to simpler handling and less transfer errors by dentists and may improve the overall diagnostic accuracy of oral brush biopsies in future.

Cited by 27 publications

References 23 publications

The utility of oral brush cytology in the early detection of oral cancer and oral potentially malignant disorders: A systematic review

The utility of oral brush cytology in the early detection of oral cancer and oral potentially malignant disorders: A systematic review

A deep learning model using hyperspectral image for EUS‐FNA cytology diagnosis in pancreatic ductal adenocarcinoma

Accuracy of liquid‐based cytology (LBC) in the oral mucosa according to novel diagnostic guidelines in Japan: Classification of cytology for oral mucosal disease (JSCC, 2015)

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