Incidental lesions found in veterans referred to dermatology: The value of a dermatologic examination

Development and Validation of a Simple Model to Predict the Risk of Nonmelanoma Skin Cancer on Screening Total Body Skin Examination

Objective

There is insufficient evidence to generate skin cancer screening guidelines at the population level, resulting in arbitrary variation in patient selection for screening skin examinations. This study was aimed at developing an easy-to-use predictive model of nonmelanoma skin cancer (NMSC) risk on screening total body skin examination (TBSE).

Methods

This epidemiologic assessment utilized data from a prospective, multicenter international study from primarily academic outpatient dermatology clinics. Potential predictors of NMSC on screening TBSE were identified and used to generate a multivariable model that was converted into a point-based scoring system. The performance characteristics of the model were validated in a second data set from two healthcare institutions in the United States.

Results

8,501 patients were included. Statistically significant predictors of NMSC on screening TBSE included age, skin phototype, and history of NMSC. A multivariable model and point-based scoring system using these predictors exhibited high discrimination (AUC = 0.82).

Conclusion

A simple three-variable model, abbreviated as CAP (cancer history, age, phototype) can accurately predict the risk of NMSC on screening TBSE by dermatology. This tool may be used in clinical decision making to enhance the yield of screening TBSE.

Skin cancer discovery during total body skin examinations

Background

Patients presenting with a site-specific skin complaint may receive a total body skin examination (TBSE) or a more focused examination. A TBSE may be time-consuming but can potentially detect unsuspected or early stage skin cancers. The purpose of this study was to assess the detection of skin cancers associated with dermatologist-initiated TBSE performed immediately after a focused skin examination on the same patients.

Methods

The dermatology records of patients with biopsy-proven melanoma, basal cell carcinoma (BCC), or squamous cell carcinoma (SCC) during a 2-year period were reviewed. Generalized linear mixed-effects models were used to estimate the odds of a lesion being identified by a dermatologist (rather than the patient or the patient's primary health care provider).

Results

A total 1563 biopsy-proven cutaneous malignancies were found on 1010 patients. Of these, 797 cancers (51%) were first identified by a dermatologist on TBSE and 764 (48.9%) by the patient or the referring provider. Among tumors first identified by dermatologists (n = 797), 553 (69%) were BCCs, 220 (28%) were SCCs, and 24 (3%) were melanomas. The mean Breslow depth was 0.53 mm (standard deviation: 0.31 mm) for melanomas found on TBSE versus 1.04 mm (standard deviation: 1.68 mm) if identified by patients or referring providers. BCCs were more likely to be identified by a dermatologist during a TBSE (n = 553 [56%] vs. n = 434 [44%]; odds ratio: 1.79; p < .001). Tumors ultimately diagnosed as SCCs were more often identified by patients or patients' primary care providers (n = 302 [58%]; odds ratio: 0.56; p < .001). However, 220 otherwise undetected SCCs were found during dermatologist-performed TBSE.

Conclusion

Dermatologist-performed TBSEs identified numerous cutaneous malignancies that might otherwise have remained undiagnosed. Early detection of melanoma or nonmelanoma skin cancer by TBSEs may spare patients significant morbidity and mortality.

Incidental Skin Cancer Detection in a Hospital Department: A Prospective Study

BACKGROUND AND OBJECTIVES

Skin cancer is a common cause for referral to dermatology, but it may also be an incidental finding during examination of patients referred for other reasons. The objective of the study was to compare the characteristics of skin cancer lesions (squamous skin carcinoma, basal cell carcinoma, melanoma) diagnosed at a dermatology department over 1 year between patients referred for suspected skin cancer and those referred for another reason but in whom skin cancer was detected as an incidental finding. Pearson's χ² test was used to compare different study variables between the 2 groups.

RESULTS

Data were collected from 433 patients with a mean age of 72 years; 233 (51.3%) of the patients were female. The most common skin types were Fitzpatrick types II and III. Basal cell carcinoma was the most frequent cancer in all the analyses and accounted for 68.4% of all cancers diagnosed (296/433). Twenty-six percent of the malignant skin tumors were detected incidentally. Statistical analysis revealed that these tumors tended to be located in nonvisible areas and were smaller and of more recent onset than tumors initially suspected to be malignant.

CONCLUSIONS

The high rate of skin cancer diagnosed incidentally by dermatologists highlights the need to carry out thorough examinations of patients in order to facilitate early detection and treatment.

Improving dermatological screening in primary care

Skin cancer is treatable and curable. Primary care providers should perform skin assessments for detection of skin cancer, however, due to conflicting guidelines and time constraints, many providers do not conduct adequate skin inspections. This quality improvement project aimed to improve skin inspection, documentation, and skin cancer detection through increased patient gowning.

Prognostic role of the histological subtype of melanoma on the hands and feet in Caucasians

Acral melanoma (AM) is associated with a poor prognosis in part because of delayed diagnosis, but probably also because of other intrinsic characteristics of location. The aim of this study was to review the specific characteristics and outcome of AM in Caucasians. This was a cross-sectional retrospective clinical-pathological study of 274 patients identified with AM in the database of a referral unit in Europe from 1986 to 2010. The mean age of the patients was 56.6 (SD 17.7) years. 269 cases could be histologically classified and included in the study. In all, 222 (82.5%) were located on feet. According to melanoma subtype, 165 (61.3%) were acral lentiginous melanoma (ALM), 84 (31.2%) were superficial spreading melanoma (SSM), and 20 (7.5%) were nodular melanoma (NM). SSM patients were characterized by female predominance (77.4%), younger age, and classic melanoma-risk phenotype (fair skin and multiple nevi). Among the 198 invasive cases with a mean follow-up of 56.2 months, the mean (SD) Breslow's thickness was 3.1 (3.6) mm, being 1.4 (1.4) mm in SSM, 3.5 (4.1) mm in ALM and 4.9 (2.9) mm in NM (P<0.001). Ulceration was present in 33.3%, 2.9% in SSM, 38.6% in ALM, and 76.9% in NM (P<0.001). A total of 29.3% relapsed (7.3% of SSM, 35% of ALM and 55% of NM) and 24.2% died because of AM. In multivariate analysis, age at diagnosis, Breslow, and histopathological subtype were independent prognostic factors for both disease-free and AM-specific survival. The ALM and NM subtypes presented poorer outcome after weighting Breslow and age (P=0.02). Histological subtype of AM could have an impact on biological behavior, ALM and NM subtypes presenting a poorer prognosis after adjusting for age and Breslow's thickness.

Incidence of melanoma and keratinocytic carcinomas in patients evaluated by store-and-forward teledermatology vs. dermatology clinic

BACKGROUND

It is unclear whether incidence of detected skin cancer in patients evaluated by store-and-forward teledermatology (SAF) vs. face-to-face consultation (F2F) significantly differs, and whether such differences are because of variations in patient demographics, diagnostic accuracy, or both.

METHODS

This retrospective cohort study compares patient skin cancer risk profile, pre-post biopsy diagnostic accuracy, and detection rates of any skin cancer, melanoma, and keratinocytic carcinoma between all SAF teledermatology patients and a subset of randomly selected F2F consultations at VA-Boston Healthcare System in 2014.

RESULTS

Patients in the teledermatology (n = 434) and F2F visit cohorts (n = 587) had similar baseline demographics except a higher proportion of F2F patients had prior history of skin cancer, 22% (131/587) vs. 10% (45/434), P < 0.001, and received biopsies, 27.2% (160/587) vs. 11.5% (50/434), P < 0.001. When adjusted for age, immunosuppression, and personal and family history of skin cancer, there were no significant differences between the two cohorts in detection rates for any skin cancer (9.5% vs. 5.8%, P = 0.3), melanoma (0.6% vs. 0%, P = N/A), or keratinocytic carcinoma (8.5% vs. 5.5%, P = 0.7). The two cohorts also had similar pre-post biopsy perfect diagnostic concordance, time from initial consult request to biopsy (45.5 d vs. 47.3 d, P = 0.8), and time from biopsy to definitive treatment (67.5 d vs. 65.4 d, P = 0.8).

CONCLUSION

F2F patients were more likely to have prior history of skin cancer and receive biopsies. When adjusted for presence of skin cancer risk factors, incidence of detected melanoma, keratinocytic carcinoma, and any skin cancer was similar between SAF teledermatology and F2F patients.