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Original Article
92 (
2
); 157-163
doi:
10.25259/IJDVL_489_2025
pmid:
41100373

The correlation of pigment content between dermoscopy and histopathology in basal cell carcinoma: A retrospective study

Department of Dermatology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
Health Science Center, North China University of Science and Technology, Tangshan, Hebei, China
Inflammation and Immune Diseases Laboratory of North China University of Science and Technology, Tangshan, Hebei, China
Department of Dermatology, The First Hospital of China Medical University, Shenyang, China
Key Laboratory of Immunodermatology, Ministry of Health and Education, Shenyang, China
Department of Dermatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
Department of Dermatology, China-Japan Friendship Hospital, Beijing, China
contributed to the work equally and are co-first authors

Corresponding author: Dr. Yong Cui, Department of Dermatology, China-Japan Friendship Hospital, Chaoyang, Beijing, China. wuhucuiyong@vip.163.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Han Y, Li MM, Wenmin FM, Yu R, Ning X, Cui Y. The correlation of pigment content between dermoscopy and histopathology in basal cell carcinoma: A retrospective study. Indian J Dermatol Venereol Leprol. 2026;92:157-63. doi: 10.25259/IJDVL_489_2025

Abstract

Background

Pigmentation significantly impacts the diagnosis and management of basal cell carcinomas (BCCs). Although the dermoscopic-histopathologic correlations in BCCs have been studied, the relationship between quantitative pigment content has not been quantitatively assessed.

Aim

To quantify the correlation of pigment content between dermoscopy and histopathology in BCCs and to explore the relationship between dermoscopic features and clinical characteristics.

Methods

We retrospectively analysed clinical/dermoscopic/histopathologic images from 90 histopathologically confirmed BCCs. Pigment content was graded as: non-pigmented (0%), light (<30%), moderate (30–70%), and heavy (>70%) by visual assessment of the lesion involvement. Spearman correlation analysis was used to assess pigment content correlation, and Fisher’s exact test was used to evaluate associations between dermoscopic and clinical characteristics.

Results

A moderate correlation (Spearman’s r = 0.5028, p < 0.05) was observed between dermoscopic and histopathological pigment content. Dermoscopic features, including leaf-like areas, spoke-wheel-like structures, and ulceration, were associated with tumour location. Large blue-grey ovoid nests and leaf-like areas were associated with sex, while dotted vessels and leaf-like areas were associated with a disease course <24 months.

Limitations

The study was constrained by a small sample size and geographic homogeneity, primarily including Asian individuals from a high-BCC-prevalence region.

Conclusion

Quantitative correlation analysis confirms that dermoscopic pigmentation reflects both melanin density and architectural tumour aggregation, enabling non-invasive assessment of BCC biology.

Keywords

Basal cell carcinoma
dermoscopy
histopathology
pigmentation

Introduction

Basal cell carcinoma (BCC), the most common human skin cancer, has shown a rising global incidence, imposing a significant burden on patients and the healthcare system.1,2 It often exhibits varying degrees of pigmentation, complicating differentiation from melanoma and benign pigmented skin lesions, potentially leading to misdiagnosis or excessive intervention.1,3,4

The advent of dermoscopy has revolutionised BCC diagnosis, elevating accuracy from approximately 60% to over 90% by enabling the visualisation of pigmented and vascular structures.5,6 This technique is particularly advantageous for identifying pigmented structures and delineating tumour margins.7,8

Notably, pigmentation occurs in nearly all BCC subtypes (nodular, superficial and infiltrating types), while dermoscopy reveals pigmented structures in 30% of clinically non-pigmented cases.9,10 Histopathologically, pigmentation at the dermal-epidermal junction appears brown (e.g., leaf-like areas, spoke wheel-like structures, and dots), while deeper dermal melanin appears blue/grey (e.g., blue-grey ovoid nests/globules).11,12 Asian studies have indicated that pigmentation may inversely correlate with tumour aggressiveness, with less pigmented BCCs showing higher invasiveness.13,14 Additionally, dermoscopic features (e.g., pigmented structures, ulceration, arborising telangiectasias) predict treatment response and tumour persistence.15-17

However, dermoscopy optically reflects tissue pigmentation with a poorly quantified correlation to histopathology. Most prior studies focused on structural rather than pigment content, leaving a gap in understanding on how dermoscopic pigmentation mirrors histopathological melanin distribution. Given high BCC prevalence and pigmentation in Asian populations, this study retrospectively analysed the correlation between dermoscopy and histopathology with respect to pigment content.

Methods

Patients and images

Clinical/dermoscopic images of histopathologically confirmed BCCs were extracted from the dermatology outpatient departments of China-Japan Friendship Hospital between September 2018 and June 2022. The clinical images were obtained using standard digital photography, while dermoscopic images were acquired with a 20x magnification digital dermoscopy system (Medicam 800HD, FotoFinder Systems GmbH, Birbach, Germany). Cases with thick scales/scabs or suboptimal images were excluded. The study was approved by the Ethics Review Committee and conducted in accordance with the Declaration of Helsinki. Informed consent was obtained from all patients or their legal guardians. All dermoscopic diagnoses and characterisations were described using International Dermoscopic Association terminology by two physicians blinded to histopathology. Histopathological diagnosis was confirmed by two associate chief dermatopathologists. All tumours were surgically excised without adjuvant therapy. The flow chart of our research has been illustrated in Figure 1.

Research flow chart.
Figure 1:
Research flow chart.

Clinical data

Demographic information (age, sex), clinical information (disease course, anatomic location), and imaging data were extracted from medical records. Cases were stratified into groups based on;

Sex (male/female)

Age (≤65 years/>65 years): The 65-year threshold was selected based on epidemiological data showing a significant increase in BCC incidence among individuals >65 years, consistent with clinical guidelines designating this group as high-risk for advanced BCC (aBCC).18,19

Disease course (<24 months/≥24 months): Disease course was stratified into <24 months and ≥24 months. Cases with a disease course ≥24 months were associated with tumour enlargement, potential aggressive features, and increased treatment burden, while those <24 months were considered early-stage. BCC exhibits slow growth (mean 0-5 mm diameter increase per 10 weeks), and a diagnostic/therapeutic delay of 19-25 months has been linked to giant BCC or metastasis. The 24-month threshold was set to align with the upper limit of typical delays leading to advanced disease.20

Anatomic location following NCCN Guidelines:21

Area H: “Mask area” of the face (central face, eyelids, eyebrows, periorbital, nose, lips [cutaneous and vermilion], chin, mandible, preauricular/postauricular skin, temple, ear), genitalia, hands, and feet.

Area M+L: Area M: cheeks, forehead, scalp, neck, pretibial; Area L: trunk or extremities (excluding hands/feet, tibialis anterior).

Tumour risk (low-risk/high-risk): Tumour risk stratification (low vs. high) was based on histologic subtype and depth of invasion, as per NCCN guidelines..

Dermoscopic and histopathological assessment

In the absence of a standardised pigment grading system, lesions were classified into four pigment categories based on visual estimation [Figure 2]: (i) non-pigmented (no visible pigmentation); (ii) light pigment (pigmentation involving <30% of lesion area); (iii) moderate pigment (pigmentation involving 30% to 70% of lesion area), and (iv) heavy pigment (pigmentation involving >70% of lesion area).22 Grading was performed independently by two observers, with discrepancies resolved through consensus.

(a) Clinical photograph of BCC located on the nasal alar region of Patient A, (b) The non-pigment under non-polarised dermoscopy in BCC showing ulceration and arborizing vessels (20×), (c) No pigment under histopathology in BCC, stained with Haematoxylin and eosin staining, 20x.
Figure 2a-c:
(a) Clinical photograph of BCC located on the nasal alar region of Patient A, (b) The non-pigment under non-polarised dermoscopy in BCC showing ulceration and arborizing vessels (20×), (c) No pigment under histopathology in BCC, stained with Haematoxylin and eosin staining, 20x.
(d) Clinical photograph of BCC located on the nasal alar region of Patient B, (e) The light pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing blue white veil, ulceration and blue-grey ovoid nests (20×), (f) No pigment under histopathology in BCC, stained with Haematoxylin and eosin, 20x.
Figure 2d-f:
(d) Clinical photograph of BCC located on the nasal alar region of Patient B, (e) The light pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing blue white veil, ulceration and blue-grey ovoid nests (20×), (f) No pigment under histopathology in BCC, stained with Haematoxylin and eosin, 20x.
(g) Clinical photograph of BCC located on the nasal alar region of Patient C, (h) The moderate pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing leaf-like areas, arborising vessels and blue-grey globules (20×), (i) Light pigment under histopathology in BCC (yellow arrows and red boxes), stained with Haematoxylin and eosin, 20x.
Figure 2g-i:
(g) Clinical photograph of BCC located on the nasal alar region of Patient C, (h) The moderate pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing leaf-like areas, arborising vessels and blue-grey globules (20×), (i) Light pigment under histopathology in BCC (yellow arrows and red boxes), stained with Haematoxylin and eosin, 20x.
(j) Clinical photograph of BCC located on the nasal tip of Patient D, (k) The heavy pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing leaf-like areas, brown dots and blue white veil (20×), (l) Light pigment under histopathology in BCC (yellow arrows and red boxes), stained with Haematoxylin and eosin, 20x.
Figure 2j-l:
(j) Clinical photograph of BCC located on the nasal tip of Patient D, (k) The heavy pigment under non-polarised dermoscopy in BCC (yellow arrows and red boxes) showing leaf-like areas, brown dots and blue white veil (20×), (l) Light pigment under histopathology in BCC (yellow arrows and red boxes), stained with Haematoxylin and eosin, 20x.

Statistical analysis

Data were analysed using SPSS 23.0 (SPSS, Armonk, NY, USA). Continuous variables were expressed as mean±standard deviation, and categorical variables as counts (percentages). Fisher’s exact test was used for comparing categorical variables. The Spearman correlation analysis was used to assess the correlation between dermoscopic and histopathological pigment grades. A two-tailed P<0.05 was considered statistically significant.

To evaluate the consistency of pigment grading between dermoscopy and histopathology, the Cohen’s Kappa coefficient was calculated. A ĸ > 0.75 was considered to indicate substantial agreement, 0.40-0.75 moderate agreement, and less than 0.40 poor agreement.

For dermoscopic features with sufficient sample sizes (e.g., leaf-like areas, blue-grey ovoid nests), logistic regression models were constructed to control for confounding factors (age, sex, anatomic location, disease duration, tumour risk, histopathological subtypes). A backward stepwise method (entry p < 0.05, removal p > 0.10) was used to derive odds ratios (ORs) with 95% confidence intervals (CIs).

Results

Clinical and demographic characteristics

Among 90 patients, histopathologically confirmed BCCs were included (39 males, 43.3%; 51 females, 56.7%), with a mean age of 64.4±13.00 years (range: 29-87 years). Tumours were located in Area H (n=66, 73.3%) and Area L+M (n=24, 26.7%). Most cases (80/90, 89.9%) were high-risk, with 43 cases (47.8%) having a disease course <24 months.

Dermoscopic features

Leaf-like areas and spoke-wheel-like structures were frequent in Area L+M; whereas ulceration, arborising vessels, and blue-white veil were more common in Area H (p < 0.05 for all). Males showed higher rates of leaf-like areas (p=0.049), blue-grey ovoid nests (p=0.016), dotted vessels (p=0.024), and blue-white veil (p=0.0002). Dotted vessels (p=0.0005) and leaf-like areas (p=0.03) were associated with disease course <24 months. No associations occurred with age and tumour risk. Brown dots, vascular characteristics, ulcers, and blue-white veil were more frequently observed in high-risk BCCs. Demographic data have been listed in Tables 1 and 2.

Table 1: The connection between dermoscopic features and clinical/demographic characteristics (sex, age stage and disease course)
Dermoscopic characteristics
Sex
Age stage
Disease course (months)
Male (n=39) Female (n=51) P ≤65(n=48) >65(n=42) P ≤24(n=49) >24(n=41) P
Dermoscopy Leaf-like areas 14 9 0.049 10 13 0.272 17 6 0.03
Spoke wheel-like structures 7 3 0.143 5 5 0.911 8 2 0.166
Brown dots 30 41 0.689 36 35 0.334 36 35 0.168
Blue-grey ovoid nests 26 21 0.016 25 22 0.978 26 21 0.862
Blue-grey dots and globules 9 23 0.031 18 14 0.680 14 18 0.130
Short fine superficial telangiectasia 17 24 0.743 23 18 0.631 25 16 0.255
Arborizing vessels 19 27 0.691 24 22 0.822 22 24 0.197
Dotted vessels 11 5 0.024 6 10 0.162 15 1 0.0005
Twisted loops 7 12 0.520 11 8 0.654 14 5 0.058
Vascular polymorphism 32 42 0.970 38 36 0.418 39 35 0.476
Ulceration 26 32 0.700 31 27 0.977 36 22 0.51
Blue-white veil 17 5 0.0002 10 12 0.394 12 10 0.991
Shiny white blotches and strands 0 2 0.503 0 2 0.215 1 1 1.000
Table 2: The connection between dermoscopic features and clinical characteristics (tumour risk and anatomic location)
Dermoscopic characteristics
Tumour risk
Anatomic location
Low risk High risk P H M+L P
Dermoscopy Leaf-like areas 5 18 0.135 10 13 0.0002
Spoke wheel-like structures 2 8 0.678 3 7 0.004
Brown dots 7 64 0.749 52 19 0.969
Blue-grey ovoid nests 3 44 0.247 35 12 0.799
Blue-grey dots and globules 2 30 0.46 27 5 0.078
Short fine superficial telangiectasia 3 38 0.477 30 11 0.975
Arborizing vessels 4 42 0.682 38 8 0.042
Dotted vessels 1 15 0.807 15 1 0.085
Twisted loops 3 16 0.749 13 6 0.586
Vascular polymorphism 9 65 0.807 55 19 0.884
Ulceration 8 50 0.46 37 21 0.006
Blue-white veil 2 20 0.965 12 10 0.022
Shiny white blotches and strands 0 2 1.000 2 0 0.999

Area H, “mask area” of the face (central face, eyelids, eyebrows, periorbital, nose, lips [cutaneous and vermilion], chin, mandible, preauricular and postauricular skin, temple, ear), genitalia, hands, and feet); Area M, cheeks, forehead, scalp, neck, and pretibial; Area L, trunk or extremities (excluding hands and feet, tibialis anterior)

Subtype-specific pigmentation distribution

In nodular BCC (n=72), 52 cases (72.3%) were pigmented as identified by histopathology, while dermoscopy revealed pigmented structures in 70 cases (97.2%). Infiltrative BCC (n=10) had lower histopathological pigmentation (4 cases, 40.0%), though dermoscopic pigmentation was present in nine cases (90.0%). Superficial BCC (n=8) included four pigmented cases (50%) (by histopathology), with all (100%) demonstrating dermoscopic pigmentation.

The connection of pigment content with dermoscopy and histopathology

The dermoscopic examination showed that only a few BCCs were non-pigmented (3/90, 3.3%). BCCs with light, moderate, and heavy pigment accounted for 15.6% (14/90), 32.2% (29/90), and 48.9% (44/90) of cases, respectively. According to the histopathological diagnosis, 30 BCCs (33.3%) were non-pigmented. Light, moderate, and heavy pigmented BCCs accounted for 53.3% (48/90), 12.2% (11/90), and 1.1% (1/90) of cases, respectively. A moderate correlation was observed between dermoscopic and histopathological pigment grades, with a correlation coefficient of 0.5028 (p<0.05) [Figure 3]. Interobserver agreement for pigment grading was poor (Cohen’s kappa = −0.032, p > 0.05), necessitating the use of consensus grading for final evaluation.

Correlation analysis of dermoscopic pigment content and histopathologic pigment content in BCC.
Figure 3:
Correlation analysis of dermoscopic pigment content and histopathologic pigment content in BCC.

Multivariate analysis of dermoscopic features

Blue-grey ovoid nests (n=47) were significantly associated with male sex (OR=3.490, 95% CI: 1.2–10.1, p=0.010). By contrast, brown dots, arborising vessels, and polymorphous vessels exhibited no significant associations with clinical variables (all p > 0.05) after adjusting for age, sex, tumour location, and disease duration.

Discussion

Our study retrospectively quantified the correlation between dermoscopic and histopathological pigmentation in 90 BCCs and found a moderate positive correlation (Spearman’s r = 0.5028, p< 0.05) between pigment grades assessed by these two modalities. These findings suggest that dermoscopic pigmentation reflects both melanin distribution and tumour architecture at the histopathological level. These quantitative correlations advance prior qualitative descriptions of structural associations.

The moderate association may stem from the fact that dermoscopic colour reflects not only melanin density but also its depth and the optical properties of surrounding tissue.23,24 For instance, leaf-like areas and spoke wheel structures, frequent in superficial BCCs, represent pigmented tumour nests clustered at the dermo-epidermal junction (DEJ) or within the superficial papillary dermis. Similarly, large blue-grey ovoid nests represent melanised tumour islands deeper in the dermis. The correlation between dermoscopic features and histopathology of BCC has been summarised in Table 3.25-28

Table 3: The correlation between dermoscopy and histopathology of basal cell carcinoma (BCC).
Dermoscopic characteristics Histopathologic correlates Subtypes of basal cell carcinoma
Leaf-like areas Pigmented BCC nests at the dermal-epidermal junction (DEJ) and in the superficial papillary dermis Superficial BCC
Spoke wheel-like structures Same as leaf-like areas Superficial BCC
Brown dots Small melanocytic nests in the epidermis or in the DEJ Micronodular BCC
Blue-grey ovoid nests Large BCC tumour islands in the dermis Nodular BCCs; Superficial BCC
Blue-grey dots and globules Small BCC aggregates at the DEJ or in superficial dermis; small BCC tumour nests in the dermis Superficial BCC
Short fine superficial telangiectasia No direct histopathologic correlate observed Superficial BCC; Infiltrative BCC
Arborizing vessels No direct histopathologic correlate observed Nodular BCCs; Infiltrative BCC
Ulceration Loss of the entire epidermis to the depth of the papillary dermis Nodular BCCs; Infiltrative BCC
Blue-white veil Heavily pigmented melanocytes and/or melanophages in the dermis with acanthosis and compact orthokeratosis Pigmented BCCs
Shiny white blotches and strands Fibrosis of the underlying stroma Nodular BCCs

This likely explains the higher detection rate of pigmentation by dermoscopy (96.7%) compared to histopathology (66.7%), particularly in infiltrative BCCs, particularly in subtypes like infiltrative BCC (dermoscopic: 90.0%, histopathological: 40.0%), where histopathology may underestimate melanisation due to sampling limitations. This discrepancy between the higher pigmentation detection rate by dermoscopy (96.7%) compared to histopathology (66.7%), particularly pronounced in infiltrative BCC (90.0% vs. 40.0%), is likely attributable to the fundamental differences in the techniques. Dermoscopic optical sensitivity allows it to detect minute melanin deposition within the epidermis or superficial dermis that may fall below the threshold of detection or be missed in routine histopathological evaluation.12,29 Limitations inherent to histopathology include the sensitivity of standard staining methods (e.g., haematoxylin-eosin), potential sectioning artifacts obscuring focal pigmentation, and melanin distribution that might be diffuse or sparse.28 Furthermore, dermoscopy can visualise pigmented structures such as melanin-laden macrophages in situ, which might not be specifically commented upon or categorised as ‘tumour pigmentation in the histopathological report, focusing on tumour nests themselves.30 Crucially, dermoscopy detects subclinical pigmentation invisible to the naked eye, underscoring its role in the early assessment of BCC.10

Unlike most prior studies that focused on structural correlations (e.g., the association between blue-grey nests and nodular BCC), this study first quantifies the pigment content correlation between dermoscopy and histopathology. The observed moderate correlation (r=0.5028) advanced the field from qualitative descriptions to quantitative analysis, providing a new metric for non-invasive assessment of BCC. This quantitative approach may help differentiate BCC from melanoma, as previous studies have shown that dermoscopic pigment patterns in BCC (e.g., spoke-wheel-like structures) are distinct from melanoma-specific patterns such as radial streaming.

The poor interobserver agreement (Cohen’s kappa = −0.032, p > 0.05) highlighted the subjectivity of visual pigment grading. This discrepancy likely arose from the lack of objectivity in pigment assessment and the quantitative differences in pigment distribution across cases. To address this, future studies should develop standardised grading protocols (e.g., using image analysis software to measure pigment area).

Consistent with prior reports, leaf-like areas and spoke-wheel-like structures were significantly more frequent on the trunk and limbs (Area M+L, p<0.05),22 while arborising vessels, ulceration, and blue-white veil were more prevalent in the “mask area” (Area H, p<0.05).31

Dotted vessels and leaf-like areas were associated with a shorter disease course (<24 months, p<0.05), aligning with findings linking dotted vessels to early-stage and superficial BCCs.32 The characteristics like large blue-grey ovoid nests, multiple blue-grey dots and globules, dotted vessels, and blue-white veil showed statistically significant variations between males and females (p<0.05). The higher prevalence of BCC in women (56.7%) compared to men (43.3%) may be attributable to women’s greater attention to appearance, leading to earlier detection.22 The gender-specific distribution of blue-grey ovoid nests (male predominance, OR=3.490, 95% CI: 1.2–10.1, p = 0.010) may be linked to hormonal influences on dermal melanocyte activity or anatomical differences (e.g., thicker skin in males enhancing deep pigment detection).

While prior studies have reported associations between dermoscopic structures (e.g., ulceration, arborising vessels) and high-risk BCCs, this study uniquely quantifies pigment content rather than solely focusing on structural features. Our quantitative approach, combined with established knowledge of subtype-specific pigmentation patterns, suggests that pigment quantification may hold potential for improving risk stratification, such as distinguishing heavily pigmented nodular BCCs from less pigmented infiltrative subtypes. This finding supports dermoscopy as a bridge between clinical examination and histopathology, enabling non-invasive monitoring of tumour progression.

Limitations

The limitations of our study include a small sample size and geographic homogeneity (predominantly Asian individuals with Fitzpatrick skin types III-IV), which may limit generalisability to other populations.

Conclusion

In conclusion, while dermoscopy is a valuable tool for diagnosing BCC and quantitatively assessing its pigmentation (reflecting underlying melanin and tumour aggregation), our findings confirm that dermoscopic assessment has limitations and does not entirely replace histopathology. Therefore, the diagnosis and management of BCC should be based on a comprehensive approach integrating dermoscopy, clinical examination, and histopathological evaluation when indicated.

Ethical approval

The research/study was approved by the Institutional Review Board at China-Japan Friendship Hospital, number No.2019kwyyxt-cui, dated 2019-9-10.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

This study was supported by Youth Foundation Project for Science and Technology Research of Hebei Provincial Universities (Hebei Provincial Department of Education) (QN2025347).

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

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