scholarly journals Diagnosis of aggressive subtypes of eyelid basal cell carcinoma by 2-mm punch biopsy: prospective and comparative study

2016 ◽  
Vol 43 (4) ◽  
pp. 262-269
Author(s):  
LUIZ ANGELO ROSSATO ◽  
Rachel Camargo Carneiro ◽  
Erick Marcet Santiago de Macedo ◽  
Patrícia Picciarelli de Lima ◽  
Ahlys Ayumi Miyazaki ◽  
...  
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Predictive Value ◽  
Gold Standard ◽  
Punch Biopsy ◽  
Surgical Specimen ◽  
Significant Difference ◽  
Group 2 ◽  
Group 1

ABSTRACT Objective : to compare the accuracy of preoperative 2-mm punch biopsy at one site and at two sites in the diagnosis of aggressive subtypes of eyelid basal cell carcinoma (BCC). Methods : we randomly assigned patients to Group 1 (biopsy at one site) and Group 2 (biopsy at two sites). We compared the biopsy results to the gold standard (pathology of the surgical specimen). We calculated the sensitivity, specificity, positive predictive value, negative predictive value, accuracy and Kappa coefficient to determine the level of agreement in both groups. Results : we analyzed 105 lesions (Group 1: n = 44; Group 2: n = 61). The agreement was 54.5% in Group 1 and 73.8% in Group 2 (p = 0.041). There was no significant difference between the groups regarding the distribution of quantitative and qualitative variables (gender, age, disease duration, tumor larger diameter, area and commitment of margins). Biopsy at two sites was two times more likely to agree with the gold standard than the biopsy of a single site. Conclusions : the accuracy and the performance indicators were better for 2-mm punch biopsy in two sites than in one site for the diagnosis of aggressive subtypes of eyelid BCC.

Agreement between histological subtype on punch biopsy and surgical excision in primary basal cell carcinoma

2012 ◽  
Vol 27 (7) ◽  
pp. 894-898 ◽  
Author(s):  
M.H. Roozeboom ◽  
K. Mosterd ◽  
V.J.L. Winnepenninckx ◽  
P.J. Nelemans ◽  
N.W.J. Kelleners-Smeets
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Surgical Excision ◽  
Punch Biopsy ◽  
Histological Subtype

scholarly journals Arteriovenous malformation after punch biopsy clinically mimicking a basal cell carcinoma: Case report and review of literature

2018 ◽  
Vol 6 (11) ◽  
pp. 2213-2216
Author(s):  
Lerinza Van der Worm ◽  
Riyaadh Roberts ◽  
Thuraya Isaacs ◽  
Reginald M. Ngwanya
Keyword(s):  
Case Report ◽  
Basal Cell Carcinoma ◽  
Arteriovenous Malformation ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Punch Biopsy ◽  
Review Of Literature

Is a punch biopsy reliable in subtyping basal cell carcinoma? A systematic review

2016 ◽  
Vol 175 (2) ◽  
pp. 401-403 ◽  
Author(s):  
D.J. Kadouch ◽  
A. van Haersma de With ◽  
J. Limpens ◽  
A.C. van der Wal ◽  
A. Wolkerstorfer ◽  
...  
Keyword(s):  
Systematic Review ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Punch Biopsy

A review of emerging and non-US FDA-approved topical agents for the treatment of basal cell carcinoma

2021 ◽  
Author(s):  
Natalie Kash ◽  
Sirunya Silapunt
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Gold Standard ◽  
Treatment Options ◽  
Tumor Characteristics ◽  
Tumor Clearance ◽  
Superficial Basal Cell Carcinoma ◽  
Us Fda ◽  
Cure Rates

Although surgical therapy continues to be the gold standard for the treatment of basal cell carcinoma given high cure rates and the ability to histologically confirm tumor clearance, there are a number of nonsurgical treatment options that may be considered based on individual tumor characteristics, functional and cosmetic considerations, patient comorbidities and patient preference. Topical 5-fluorouracil 5% cream and imiquimod 5% cream have been US FDA-approved for the treatment of superficial basal cell carcinoma. Additionally, a number of new and emerging topical agents and techniques have been described for the treatment of basal cell carcinoma and will be reviewed herein.

scholarly journals Single versus Multiple Level Sectioning for the Subtyping of Basal-Cell Carcinoma: A Retrospective Study

Dermatology ◽  
2019 ◽  
Vol 236 (3) ◽  
pp. 237-240 ◽  
Author(s):  
Lieke C.J. van Delft ◽  
Patty J. Nelemans ◽  
Myrurgia Abdul Hamid ◽  
Nicole W.J. Kelleners-Smeets
Keyword(s):  
Retrospective Study ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Primary Outcome ◽  
Punch Biopsy ◽  
Appropriate Treatment ◽  
Treatment Objective ◽  
Optimal Approach ◽  
Single Versus

Background: The histological subtype of basal-cell carcinoma (BCC) is often based on a punch biopsy; only a small part is evaluated, possibly leading to misclassification. Consensus on the optimal approach to process punch biopsies is lacking, though accurate subtyping is important for appropriate treatment. Objective: The aim is to investigate whether evaluating 4 levels of a punch biopsy instead of 1 or 2 levels leads to more accurate subtyping of BCC. Methods: In a retrospective study we evaluated 87 punch biopsies of histologically confirmed BCCs. The primary outcome was the proportion of “more aggressive” BCCs (nonsuperficial vs. superficial, infiltrative vs. nodular subtype) that was missed by evaluation on 1 or 2 levels, using 4-level diagnosis as reference standard. Results: Eighty-five cases were available for analysis. Subtyping based on 1 level resulted in discrepancies with 4-level diagnosis in 16.5% of all cases. Underdiagnosis occurred in 14 of 58 nonsuperficial BCCs (24.1%, 95% CI: 13.9–37.2). Seven of 38 nodular BCCs (18.4%, 95% CI: 7.74–34.3) were diagnosed as superficial in 1 level, and 7 of 20 infiltrative BCCs (35%, 95% CI: 15.4–59.2) were diagnosed as superficial (n = 2) or nodular (n = 5) in 1 level. Conclusion: In order to maximize correct subtyping and plan appropriate treatment, we advise to evaluate at least 2, but preferably more, levels of a punch biopsy to determine the BCC subtype.

Correlation between histologic findings on punch biopsy specimens and subsequent excision specimens in recurrent basal cell carcinoma

2011 ◽  
Vol 64 (2) ◽  
pp. 323-327 ◽  
Author(s):  
Klara Mosterd ◽  
Monique R.T.M. Thissen ◽  
Arienne M.W. van Marion ◽  
Patty J. Nelemans ◽  
Bjorn G.P.M. Lohman ◽  
...  
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Punch Biopsy ◽  
Biopsy Specimens

Occurrence and recurrence of basal cell carcinoma of the head and neck in negroid and albinoid africans

1987 ◽  
Vol 101 (12) ◽  
pp. 1324-1328 ◽  
Author(s):  
S. A. Ademiluyi ◽  
G. T. A. Ijaduola
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Recurrence Rate ◽  
Basal Cell ◽  
Neck Region ◽  
Head And Neck Region ◽  
Outdoor Workers ◽  
Significant Difference

SummaryA study of sixty patients with basal cell carcinoma of the head and neck region carried out over a six-year period (1979–1985) is hereby presented. Sixteen (26.72 percent) were albinos and 44 (73.28 per cent) negroids. Forty-eight (80 per cent) were outdoor workers. The negroid patients presented between the 3rd and 4th decades while the albinos presented a decade earlier. The commonest site involved in the head and neck was the forehead. The midface showed the highest recurrence rate in both groups, even after adequate excision. The frequency of recurrence in tumours presenting with a size of 2–5 cm. diameter was significantly higher in the albinos than in the negroid (P<0.05), whereas, with tumours of a size larger than 5 cm., there was no statistically significant difference between the albino and the negroid. However, the overall recurrence rate was significantly higher in the albinos (P<0.005). The mortality among the albinos was 25 per cent while there were no deaths in the negroid Africans.

scholarly journals Performance of Artificial Intelligence Imaging Models in Detecting Dermatological Manifestations in Higher Fitzpatrick Skin Color Classifications (Preprint)

2021 ◽  
Author(s):  
Pushkar Aggarwal
Keyword(s):  
Artificial Intelligence ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Image Recognition ◽  
Basal Cell ◽  
Predictive Value ◽  
Skin Color ◽  
Dermatological Diseases ◽  
Light Skin ◽  
Artificial Intelligence Models

BACKGROUND The performance of deep-learning image recognition models is below par when applied to images with Fitzpatrick classification skin types 4 and 5. OBJECTIVE The objective of this research was to assess whether image recognition models perform differently when differentiating between dermatological diseases in individuals with darker skin color (Fitzpatrick skin types 4 and 5) than when differentiating between the same dermatological diseases in Caucasians (Fitzpatrick skin types 1, 2, and 3) when both models are trained on the same number of images. METHODS Two image recognition models were trained, validated, and tested. The goal of each model was to differentiate between melanoma and basal cell carcinoma. Open-source images of melanoma and basal cell carcinoma were acquired from the Hellenic Dermatological Atlas, the Dermatology Atlas, the Interactive Dermatology Atlas, and DermNet NZ. RESULTS The image recognition models trained and validated on images with light skin color had higher sensitivity, specificity, positive predictive value, negative predictive value, and F1 score than the image recognition models trained and validated on images of skin of color for differentiation between melanoma and basal cell carcinoma. CONCLUSIONS A higher number of images of dermatological diseases in individuals with darker skin color than images of dermatological diseases in individuals with light skin color would need to be gathered for artificial intelligence models to perform equally well.

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