Total-Body Photography in Skin Cancer Screening: The Clinical Utility of Standardized Imaging
Early detection of skin cancer is essential to reducing morbidity and mortality from both melanoma and nonmelanoma skin cancers. Total-body skin examinations (TBSEs) may improve early detection of malignant melanomas (MMs) but are controversial due to the poor quality of data available to establish a mortality benefit from skin cancer screening. Total-body photography (TBP) promises to provide a way forward by lowering the costs of dermatologic screening while simultaneously leveraging technology to increase patient access to dermatologic care. Standardized TBP also offers the ability for dermatologists to work synergistically with modern computer technology involving algorithms capable of analyzing high-quality images to flag concerning lesions that may require closer evaluation. On a population level, inexpensive TBP has the potential to increase access to skin cancer screening and it has several specific applications in a military population. The utility of standardized TBP is reviewed in the context of skin cancer screening and teledermatology.
Practice Points
- Advances in technology have the potential to provide affordable standardized total-body photography platforms.
- Total-body photography augments the clinical examination and plays a role in clinical decision-making.
- Total-body photography has the potential to become a part of the total-body skin examination and increase access to dermatologic care.
Limitations to Progress
Currently, there are multiple limitations to the implementation of TBP as a part of TBSE screening. First, the potential improvement in biopsy efficiency using TBP is predicated on its ability to prove nevi stability over time, but in younger populations, benign nevi are more likely to change or increase in number, which may reduce the biopsy efficiency of screening in a younger population, thereby negating some of the benefit of imaging and CNN assessment. For instance, Truong et al16 found that younger age (<30 years) did not show the same improvement in biopsy efficiency with the use of TBP, which the authors theorized may reflect “the dynamic nature of nevi in younger patients” that has been documented in other studies.23,24 Approximately 65% of the active-duty military population is aged 18 to 30 years, and 98% of accessions to active duty occur in individuals aged 17 to 30 years.25 As such, TBP may not improve biopsy efficiency in the active-duty military population as dramatically as it would across the general population.
A second limitation of the use of TBP in the active-duty military population is the ethics of implementing DoD-wide mandatory TBP. Although the TBP platform will be compliant with the Health Insurance Portability and Accountability Act, mandating that soldiers contribute their TBP to a repository of data that will then be used for research without explicitly requesting their consent is ethically problematic; however, since the 1950s, the DoD has collected serum samples from its service members for force protection and operations reasons as well as for the purpose of research.22,26 Currently, the DoD Serum Repository collects serum samples as part of a mandatory human immunodeficiency virus screening program that evaluates service members every 2 years; this repository of human serum samples is accessible for research purposes without the consent of the individuals being studied.27 These individuals are not informed of potential use of their serum specimens for research purposes and no consent forms or opt-out options are provided. Thus, although there is precedent in the DoD for such mass data collection, it is an ongoing ethical consideration.28
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,Finally, although the potential use of TBP and computer algorithms to improve the efficiency and affordability of TBSEs is exciting, there are no existing computer algorithms that we are aware of that can be used with existing TBP platforms in the manner we proposed. However, we feel that computer algorithms, such as the one created by Esteva et al,19 are just the beginning and that the use of artificial intelligence is not far off. Even after the creation of a TBP-compatible algorithm adept at analyzing malignant lesions, however, this technology would need to be further evaluated in the clinical setting to determine its capability and practicality. Current TBP platforms also are limited by their large size, cost, and complexity. As TBP platforms improve, it is likely that more streamlined and less expensive versions of current models will greatly enhance the field of teledermatology, particularly in the military setting.
