Tzanck smear: A useful diagnostic tool

Gupta, Lalit; Singhi, M. K.

doi:10.4103/0378-6323.16632

Cited by 41 publications

(9 citation statements)

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“…If staining with Giemsa stain, the sample must sit for 20–25 minutes once stained and then be washed with sterile water (E. Ruocco, Baroni, et al, 2011). Other acceptable stains include hematoxylin and eosin, Wright, methylene blue, and toluidine blue (Gupta & Singhi, 2005). One can then view the slide under the microscope and distinguish between the different components of the cells.…”

Section: Methodsmentioning

confidence: 99%

“…The best samples are obtained from unroofed vesicles or blisters (Kelly & Shimoni, 2009). Bulla fluid or blood should be removed to prevent less accurate results (Gupta & Singhi, 2005). If the lesions have crust, it should be removed before sampling (Gupta & Singhi, 2005).…”

Section: Methodsmentioning

confidence: 99%

“…Bulla fluid or blood should be removed to prevent less accurate results (Gupta & Singhi, 2005). If the lesions have crust, it should be removed before sampling (Gupta & Singhi, 2005). After the crust is removed, scrapings should be done at the lesion's advancing border in case of an erosion (Yaeen et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…The Tzanck smear is a useful diagnostic procedure. Tzanck smears may be used to diagnose other cutaneous infections and blistering diseases and to detect herpesvirus as well as other skin conditions (Gupta & Singhi, 2005). It may be implemented in the acute setting to rapidly diagnose cutaneous herpetic infections.…”

Section: Indicationsmentioning

confidence: 99%

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Tzanck Smear in Dermatologic Practice

Yang

Nodine

Anderson

et al. 2022

Journal of the Dermatology Nurses' Association

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The Tzanck smear was introduced in the 1950s and has been used for the diagnosis of erosive, vesiculobullous, tumoral, and granulomatous diseases. The Tzanck smear is rapid, easy to perform, and relatively inexpensive. Results from this diagnostic test can be obtained at the bedside, often within several minutes. Tzanck smears have high diagnostic reliability for erosive/vesiculobullous and granulomatous lesions. For some lesions, the sensitivity of Tzanck smears can exceed 80% up to 90% depending on the expertise of the user. However, for more challenging diagnoses, Tzanck smear should be used in conjunction with more advanced techniques to ensure an accurate clinical diagnosis. This article reviews the background, indications, construct, and applications of the Tzanck smear to highlight this commonly used diagnostic tool in dermatology.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Indicationsmentioning

confidence: 99%

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Tzanck Smear in Dermatologic Practice

Yang

Nodine

Anderson

et al. 2022

Journal of the Dermatology Nurses' Association

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“…4 One of the reasons for this is the lack of experience in using this test. Efforts have been made in the past decade to reintroduce Tzanck smear test [5][6][7][8][9][10] which has resulted in revived interest. [11][12][13] Still, this diagnostic tool is nowhere near its full potential.…”

Section: Introductionmentioning

confidence: 99%

TzanckNet: A convolutional neural network to identify cells in the cytology of erosive-vesiculobullous diseases

Noyan¹,

Durdu

Eskiocak

2020

Preprint

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Tzanck smear test is a low-cost, rapid, and reliable tool which can be used for the diagnosis of many erosive-vesiculobullous, tumoral, and granulomatous diseases. Currently its use is limited mainly due to lack of experience in interpretation of the smears. We developed a deep learning model, TzanckNet, that can identify cells in Tzanck smear test findings. TzanckNet was trained on a retrospective development dataset of 2260 Tzanck smear images collected between December 2006 - December 2019. The finalized model was evaluated using a prospective validation dataset of 359 Tzanck smear images collected from 15 patients during January 2020. It is designed to recognize six cell types (acantholytic cells, eosinophils, hypha, multinucleated giant cells, normal keratinocytes, and tadpole cells). For 359 images and 6 cell types, TzanckNet made 2154 predictions. The accuracy was 94.3 % (95% CI 93.4 to 95.3), the sensitivity was 83.7 % (95% CI 80.3 to 87.0) and the specificity was 97.3 % (95% CI 96.5 to 98.1). The area under the receiver operating characteristic curve was 0.974. Our results show that TzanckNet has the potential to lower the experience barrier needed to use this test, broadening its user base, and hence improving patient well-being.

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Cytological Diagnosis of Benign Lesions of the Oral Cavity

Carroll¹

2012

Oral Cytology

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Tzanck smear: A useful diagnostic tool

Cited by 41 publications

References 0 publications

Tzanck Smear in Dermatologic Practice

Tzanck Smear in Dermatologic Practice

TzanckNet: A convolutional neural network to identify cells in the cytology of erosive-vesiculobullous diseases

Cytological Diagnosis of Benign Lesions of the Oral Cavity

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