Skip to main content

ORIGINAL RESEARCH article

Front. Med., 19 January 2023
Sec. Dermatology
This article is part of the Research Topic Non-Invasive Diagnostic Tools in the Management of Skin Disorders View all 10 articles

Conventional and three-dimensional photography as a tool to map distribution patterns of in-transit melanoma metastases on the lower extremity

\r\nKilian MüllerKilian Müller1Carola Berking,Carola Berking2,3Caroline Voskens,Caroline Voskens2,3Markus V. Heppt,Markus V. Heppt2,3Lucie HeinzerlingLucie Heinzerling4Elias A. T. Koch,Elias A. T. Koch2,3Rafaela Kramer,Rafaela Kramer2,3Susanne Merkel,Susanne Merkel3,5Beatrice Schuler-Thurner,Beatrice Schuler-Thurner2,3Vera SchellererVera Schellerer6Theresa Steeb,Theresa Steeb2,3Anja Wessely,Anja Wessely2,3Michael Erdmann,*Michael Erdmann2,3*
  • 1Institute of Hygiene and Environmental Medicine, University Medicine Greifswald, Greifswald, Germany
  • 2Department of Dermatology, Uniklinikum Erlangen, Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
  • 3Comprehensive Cancer Center Erlangen–European Metropolitan Area of Nuremberg (CCC ER-EMN), Erlangen, Germany
  • 4Department of Dermatology and Allergy, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
  • 5Department of Surgery, Uniklinikum Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
  • 6Department of Pediatric Surgery, University Medicine Greifswald, Greifswald, Germany

Background: In melanoma, in-transit metastases characteristically occur at the lower extremity along lymphatic vessels.

Objectives: The objective of this study was to evaluate conventional or three-dimensional photography as a tool to analyze in-transit metastasis pattern of melanoma of the lower extremity. In addition, we assessed risk factors for the development of in-transit metastases in cutaneous melanoma.

Methods: In this retrospective, monocentric study first we compared the clinical data of all evaluable patients with in-transit metastases of melanoma on the lower extremity (n = 94) with melanoma patients without recurrence of disease (n = 288). In addition, based on conventional (n = 24) and three-dimensional photography (n = 22), we defined the specific distribution patterns of the in-transit metastases on the lower extremity.

Results: Using a multivariate analysis we identified nodular melanoma, tumor thickness, and ulceration as independent risk factors to develop in-transit metastases ITM (n = 94). In patients with melanoma on the lower leg (n = 31), in-transit metastases preferentially developed along anatomically predefined lymphatic pathways. In contrast when analyzing in-transit metastases of melanoma on the foot (n = 15) no clear pattern could be visualized. In addition, no difference in distance between in-transit metastases and primary melanoma on the foot compared to the lower leg was observed using three-dimensional photography (n = 22).

Conclusion: A risk-adapted follow-up of melanoma patients to detect in-transit metastases can be applied by knowledge of the specific lymphatic drainage of the lower extremity. Our current analysis suggests a more complex lymphatic drainage of the foot.

Introduction

Cutaneous melanoma is characterized by a high risk of metastases occurring in close proximity to the primary melanoma, along the route to and in regional lymph nodes, and as distant metastases (1). Despite approved adjuvant treatment options for primary high-risk melanoma (2) and life-prolonging therapies in the stage of distant metastasis (3), melanoma remains a fatal disease.

In-transit metastases (ITM) are a special kind of recurrence in the skin, observed predominantly in melanoma and approximately develop in 7% of the melanoma patients (4). They occur in the anatomical region between primary melanoma and the corresponding regional lymph node basin. The clinical course of patients developing ITM varies considerably, ranging from solitary lesions with prolonged relapse-free intervals up to subsequent, rapidly progressing systemic disease (1). ITM can be palpable and visible and therefore represent a significant psychological burden for patients (5). Apart from the proposed spreading along the draining lymphatic vessels, the biology of ITM formation is not fully understood and there is currently no way to identify patients at risk of developing ITM. Commonly known risk factors of melanoma including tumor thickness and ulceration of the primary melanoma also apply to patients who develop ITM. Patients with ITM at the leg have a better prognosis than those with ITM at other body sites (6). This may be related to the long lymphatic pathways of the lower extremity defined by a Japanese research group (7) in cadavers. Therefore, the area along defined lymphatic pathways where ITM occur would be predetermined based on the location of the primary melanoma.

In dermatology, different imaging modalities such as digital photography, dermoscopy, sonography, optical coherence tomography, and confocal microscopy are applied to document solitary skin lesions (8). Most of these modalities, currently predominantly applied in dermato-oncology (9) require specialized training, expensive equipment and are time consuming for the patients and medical staff (10). However, in order to image the total body, complex and standardized realignments of the camera or the patient are required. Since skin areas are distorted if they are not photographed at a vertical angle, they can only be assessed to a limited extent in conventional photography. Semiautomatic and image-processing 3D photography systems offer a patient- and user-friendly handling of total body photography (11), on which changes such as cutaneous melanoma metastases can be traced precisely using assisting image processing tools (12). These applications enable objective automated nevi count in patients with numerous pigmented lesions (13). Standardized total body 3D photography images provide a solid prerequisite for machine-based learning algorithms in dermatology (14) as demonstrated in detection and analysis of cherry angioma (15). 3D photography and customized image processing tools are applied for various dermatologic conditions: Area of vitiligo lesions was calculated accurately by manual multipoint polygon region annotation utilizing an area measurement application (16). Decrease in volume of infantile hemangioma during propranolol treatment was calculated using a portable 3D photography unit and software provided by the manufacturer (17). Wound characteristics such as area, perimeter, and volume were reliably determined by a prototype 3D-wound assessment monitor camera and for this purpose applied software (18). Facial asymmetry caused by morphea could be more properly rated by 3D stereophotogrammetry compared to 2D photography (19). Assessment of successful labial augmentation by filler injection was demonstrated using a 3D imaging system and a facial measurement and analysis tool (20). Thus, 3D images have so far been analyzed mainly by means of the software provided by the manufacturer of the camera systems. In the future, these high-resolution, standardized images, together with rapidly advancing machine learning in dermatology (21, 22), may offer great possibilities in diagnostics and management of skin diseases.

In the current work, we identified patients with ITM and melanoma of the lower extremities. To demonstrate the in vivo spread of tumor cells resulting in ITM along defined lymphatic pathways, standardized templates were created with annotated primary melanomas, ITM, and associated lymphatic pathways in a subset of 46 patients with available conventional and 3D photographic images.

Materials and methods

Patients

This monocentric, retrospective study analyzed 382 patients (female 263, male 119) with cutaneous melanoma of the lower extremity. The study was conducted in compliance with Good Clinical Practice (GCP) rules and the Declaration of Helsinki. Ethical review and approval were waived for this study due to its retrospective character and the analysis of standard patient data raised in the context of regular treatment visits. Patients signed an informed consent form for treatment at our center and for the photo documentation in the context of regular treatment. All patients underwent standard treatment and follow-up at the Department of Dermatology of the Uniklinikum Erlangen, Germany, between October 2000 and July 2020. We identified patients in our institutional database followed by individual file review from the electronic patient records in the clinical documentation system Soarian® (Cerner, Health Services, Berlin, Germany). A dermatologist diagnosed ITM during clinical skin examination either at the time of primary melanoma diagnosis or during regular oncologic follow-up. Data were obtained for each patient, including gender, age at diagnosis of primary melanoma, histologic subtype (superficial spreading melanoma, nodular melanoma, acral lentiginous melanoma, melanoma not otherwise specified, or melanoma with unknown primary), mean Breslow tumor thickness (mm), ulceration (present, absent, or unknown), and localization of primary melanoma (foot, lower leg, or thigh). Additionally, we analyzed the number of detectable ITM (1–5, 6–10, 11–20, more than 20 or unknown), mean time between primary diagnosis of melanoma and first ITM (in months), and availability of clinical images (no images, conventional photography, or 3D photography).

Image acquisition

Conventional photography

Images of patients were generated during follow-up at the Department of Dermatology, Uniklinikum Erlangen, Germany, by digital 2D single-lens reflex cameras (Canon EOS-ID Mark III or Canon EOS-ID Mark IV, Canon Germany GmbH, Krefeld). In the majority of the patients, primary melanoma as well as ITM had already been resected. Therefore, the location of prior melanoma lesions on clinical images by residual scars were identified and cross-referenced with the patients’ clinical file.

3D total body photography

Patients were imaged by a VECTRA 360WB medical photography platform system (VECTRA 360WB, Canfield Scientific, Parsippany, NJ, USA) available at our center since 2019 consisting of two concentrically orientated frameworks with a total of 92 high-resolution digital cameras that captured 92 standardized polarized images of the patient simultaneously. During image acquisition, undressed patients stood in a defined pose at a standardized position inside the imaging unit. The integrated Dermagraphix software (VECTRA-Software VAM Version 2.7.6, Canfield Scientific, Parsippany, NJ, USA) subsequently processed single images into a 3D body avatar, which covered up to 90% of the patient‘s body surface (11). Thus, a millimeter precise anatomical mapping of present lesions and scars was generated for each patient. The distance between primary melanoma and ITM was calculated via the skin surface distance-measuring tool of the Dermagraphix program.

Generation of a reference template of the leg

As a first step, a reference template of the leg was created in order to compare ITM spreading pathways of the lower extremity in our patients. Contours from defined angles (lateral, medial, ventral, and dorsal) of the reference leg were delineated from an original 3D image using GIMP (GNU image manipulation program, version 2.10.20). Additionally, we integrated bone benchmarks and segmented colored lymphatic drainage areas as described previously (7): posterolateral (red), posteromedial (yellow), anterolateral (green), and anteromedial (blue—including the toes).

Identification of melanoma lesions and transfer onto the leg template

Evaluable melanoma lesions or scars of primary melanoma and ITM were identified in 46 patients with melanoma on the lower leg or foot and cross-referenced with clinical data, previous photographic images, histologic results, and operation reports. In addition, we contacted patients in order to pinpoint the localization on conventional or 3D images. In annotated and standardized 3D images, these lesions were extracted by an affine transformation scheme consisting of 6 degrees of freedom (x, y, z, 3x rotation) and transformed back into our two-dimensional reference templates. In order to compensate individual anatomical difference between patients, images were standardized with fixed points of interest using bone benchmarks such as the patella, medial as well as lateral ankle, and toes via Paint-3D (Microsoft Corporation, Version 6.2004.20027.0). Conventional photographic images of melanoma lesions and scars on the leg of patients with ITM were retrieved from our photographic archive. We annotated melanoma lesions accordingly and transferred these onto the four reference templates using the software program Paint-3D (Paint-3D, Microsoft Cooperation, 6.2004.20027.0). For patients with melanoma of the right leg, annotated images were mirrored, so that a left leg was always depicted in the following analysis.

Statistical analysis

Our objective was to evaluate conventional or three-dimensional photography as a tool to analyze in-transit metastasis pattern of melanoma of the lower extremity. In addition, we assessed risk factors for the development of in-transit metastases in cutaneous melanoma. Specifically, data were analyzed using SPSS (SPSS, Version 24.0, IBM Deutschland GmbH, Ehingen). Clinical characteristics of patients with melanoma of the lower extremity with (n = 94) or without ITM (n = 288) were compared in order to determine specific risk factors to develop ITM. The chi-square test was applied for mutually exclusive categorical variables (i.e., gender of the patient, histological subtype, ulceration, and localization of the primary melanoma). Continuous variables (i.e., age of patient, Breslow tumor thickness, and the interval between primary melanoma and the occurrence of the first ITM) were analyzed using the Mann–Whitney U test between two independent patient groups (patients with melanoma on the leg without ITM versus patients with melanoma of the lower leg with ITM). Multivariate logistic regression analysis of categorical as well as continuous variables was applied to factors with a significance in the univariate analysis to assess the interaction of potentially predictive factors for the development of ITM of the lower extremity. In order to analyze differences between fully (n = 25), partially (n = 8), or non-matched (n = 15) metastatic patterns of ITM between the lower leg (n = 31) and the foot (n = 15) we applied the Mann–Whitney U test of ordinally scaled variables in the two independent sample groups (melanoma on the leg versus melanoma on the foot). In all tests, a p-value < 0.05 was considered significant.

Results

Clinical risk factors of all patients with in-transit metastases on the lower extremity

Demographic and clinical characteristics were compared between 288 patients with melanoma on the lower extremity without ITM and 94 patients with melanoma on the lower extremity with ITM. Patients with ITM were significantly older and the primary melanoma was significantly more often a nodular or acral lentiginous subtype, had a greater tumor thickness, showed more commonly ulceration, and was located more distally compared to patients without ITM (p < 0.001) (Table 1). In a multivariate logistic regression analysis (Table 2) tumor thickness, ulceration, and nodular melanoma remained risk factors for development of ITM. Independent of the presence of ITM, in our cohort melanoma on the lower extremity was more common in women. In the 94 patients, the number of ITM ranged from a single lesion to more than 20 lesions. The time between diagnosis of primary melanoma and of ITM ranged from simultaneous detection to more than 20 years (Table 1).

TABLE 1
www.frontiersin.org

Table 1. General patient characteristics.

TABLE 2
www.frontiersin.org

Table 2. Multivariate logistic regression analysis of risk factors for in-transit metastases of melanoma of the lower extremity.

Analysis of metastatic distribution pattern of in-transit metastases along lymphatic drainage pathways in 46 patients with evaluable conventional and three-dimensional photography

A total of 46 patients with melanoma of the lower leg (n = 31) or the foot (n = 15) and evaluable conventional (n = 24) or 3D-photography (n = 22) could be identified in our photo database (Figure 1, blue boxes) to correlate individual localization of ITM with previously reported anatomic lymphatic drainage pathways of the lower leg (7). Clinical data of these patients are summarized in Table 3. The anatomical distribution of all primary melanomas on the lower extremity and foot is shown in Figure 2A. We detected a strong correlation to known lymphatic vessels (full match) between primary melanoma of the lower leg (n = 31) and corresponding ITM (representative examples in Figure 2B) along the anteromedial (blue) or the anterolateral (green) lymphatic draining pathway in 22 of 31 patients (71%) (Table 4). A partial match was demonstrated in two patients (6%). In seven patients (23%), no association between the localization of primary melanoma and ITM could be detected. In melanoma of the foot (n = 15), a full and partial match between primary melanoma and ITM along the lymphatic pathways was present in only three patients (20%) and six patients (40%), respectively (representative examples in Figure 2C and Table 4). No congruence was detected in six patients (40%).

FIGURE 1
www.frontiersin.org

Figure 1. Overview of melanoma patients with in-transit metastases (n = 94) of the lower extremity. Definition of patients with available images taken by conventional or three-dimensional (3D) photography of the upper leg, lower leg, and foot.

TABLE 3
www.frontiersin.org

Table 3. Patients with melanoma of the lower leg and foot with analyzed in-transit metastases patterns.

FIGURE 2
www.frontiersin.org

Figure 2. Distribution of primary melanoma and in-transit metastases localized to the lower leg and foot. (A) Lateral, medial, anterior, and dorsal projection of primary melanoma (black) of 58 patients based on photographic images and mapping to distinct anatomic lymphatic drainages regions of leg: posteromedial (yellow), anteromedial (blue), anterolateral (green), and posterolateral (red). (B) Melanoma of the lower leg: three-dimensional (3D) image of a primary melanoma and corresponding in-transit metastases as well as the supposed lymphatic drainage (left image). Representative examples of individual patients with primary melanoma (black) on the lower leg with a full match of 8/8 (100%) of in-transit metastases (red) developing in the corresponding anteromedial lymphatic region (second image from the left) and metastases developing partially (8/14, 57%, second image from the right) or not predominantly within (2/10, 20%) the expected localization (right image). (C) Melanoma on the foot. Annotation of in-transit metastases (red) on a 3D photographic image (left image). Examples of representative individual patients with primary melanoma (black) and corresponding in-transit metastases (red) occurring fully, partially, or not (images second from the left, second from the right, and right) in the expected lymphatic drainage area.

TABLE 4
www.frontiersin.org

Table 4. Classification of in-transit metastatic patterns defined by localization of primary melanoma.

Absolute distance between primary melanoma and ITM measured via three-dimensional photography

Using 3D photography, the distance between primary melanoma and ITM along the skin surface could be measured in 27 patients (Figure 3A). Anatomically, the distance between primary melanoma and draining lymph nodes in the groin increases from the foot compared to the lower leg. Nevertheless, the mean, median, and range of distance between primary melanoma on the foot (27.8, 28.8, 1.8–67.4 cm) or lower leg (32.5, 30.9, and 1.6–71.2 cm) and corresponding ITM showed no significant difference in our cohort (Figure 3B).

FIGURE 3
www.frontiersin.org

Figure 3. Distance measurement of primary melanoma and in-transit metastases on three-dimensional (3D) photography. (A) Example demonstrating measurement of the distance (yellow line) along the skin surface between primary melanoma (black) and an in-transit metastasis (red). (B) No significant difference between melanoma of the foot compared to the lower leg is detectable concerning mean, median, and range of distances between melanoma and corresponding in-transit metastases.

Discussion

In-transit metastases develop along the way between the primary melanoma and the draining nodal basin and are a poor prognostic sign (6). Currently, the etiology of ITM is not fully understood. In the present study, conventional and 3D photography were used to chart and analyze the metastatic distribution of ITM of primary cutaneous melanoma of the lower extremity for the first time with regard to anatomically determined lymphatic drainage pathways (7) in a subset of 46 patients.

In general, about 4 to 10% of melanoma patients develop ITM (6, 23). The high rate of ITM (33%) in our clinical patient collective of 382 patients might be explained by the fact that it was limited to melanoma of the lower extremity, where ITM more often occur compared to other body sites (6). Additionally, patients with advanced or metastatic melanoma are more likely referred to a university skin cancer center, resulting in a high number of patients with ITM in our analysis.

Our clinical cohort of 94 patients with ITM complements reports that comprised 54 (24), 380 (25), and 505 patients (6) with satellite metastases and ITM. While in our study only patients with melanoma of the lower extremity were included, this subgroup makes 40–60% of the comparable collectives in the literature. In particular, the different biology and prognosis of acral lentiginous melanoma (26) represent a possible confounder. The median tumor thickness of 2.9 mm and ulceration status of 46% in our patient cohort were comparable with other studies reporting a median tumor thickness of 3 mm and the presence of ulceration in 28–39% of the patients (6, 24). Tumor subtypes and further localization on the thigh, lower leg, or foot could not be compared because they were not stated separately for the lower extremity (6) or were not reported at all (24, 25). With regard to patient characteristics, the male-to-female ratio ranged from 1:2 in our study to 2:1 in the literature (6). This different distribution may be influenced by differences in the country-specific risk of sun exposure and behavior between Europe and Australia (27). The median age of patients was 65–75 years and confirms that ITM occur at an older age, but could not be exactly compared due to different timing at data collection (primary melanoma diagnosis or start of systemic therapy). In our study, the median interval until occurrence of ITM was 19 months, which is in line with 17.9 months stated in the literature (6). The number of ITM per patient has not been reported in the literature. The gender distribution in our patients with melanoma on the lower extremity was independent of the occurrence of ITM. Our data confirm negative prognostic factors in melanoma (1, 28) in patients with ITM compared to patients without recurrence such as tumor thickness, ulceration status, and nodular melanoma.

In a subset of 46 patients with evaluable conventional and 3D photography, the localization of melanoma lesions was systematically correlated to anatomically determined lymphatic drainage pathways (7). Our results show that the localization of primary melanoma on the lower leg indicates areas at risk which should be examined more closely during follow-up. In contrast, a full match between ITM and lymphatic drainage was present in only 20% of the patients with melanoma of the foot. This discrepancy may be caused by altered lymphatic drainage pathways due to surgery of the toes and sole of the foot. The fact that 9 of our 46 analyzed patients developed ITM distally of the primary melanoma indicates a significant surgical alteration of the lymphatic vessels including the draining nodal basin by prior sentinel node biopsy or lymphadenectomy.

Interestingly, one patient with amputation of the three toes due to melanoma developed ITM along both the anteromedial and the anterolateral lymphatic bundles. This may further support postoperative lymphatic alteration but could also indicate a yet unstudied differential lymphatic drainage of the toes and the plantar region. It is of interest that in order to identify anatomic lymphatic pathways, contrast injections were exclusively applied to the outer and inner edges of the foot as well as the interdigital spaces in a previous study (7).

As discussed by Shinaoka et al. (7), the results of the anatomic/radiologic study may not be fully applicable to the in vivo situation (such as the development of ITM analyzed in this work) as the study was performed on cadavers with contrast injection into the foot followed by manual lymphatic drainage. In contrast, in vivo lymphatic fluid is transported by means of metabolically active muscle contraction in conduit and transport vessels.

To our knowledge, this is the first report to apply 3D photography to determine precise distances along the lymphatic pathways that melanoma cells must have traveled between primary melanoma and corresponding ITM. Since the distances between two lesions were calculated on a 3D leg model on the skin surface and the angles of the joints were taken into account, this almost exactly corresponds to the lymphatic pathways running in the upper corium. Although lymphatic pathways from the foot to the draining inguinal lymph node are anatomically longer than those from the lower leg, the distances between primary melanoma and associated ITM did not differ significantly in our cohort. Whether this is a biological, mechanical, or lymphogenic characteristic of melanoma of the foot, in which ITM develops with preferentially on the lower leg and thigh, cannot be answered by this study due to the insufficient number of patients examined by 3D photography (n = 22). In order to assess the significance for diagnostics and therapy, further investigations of ITM should also be performed including the trunk, the heck, and head.

Our study demonstrates for the first time the biological relevance of anatomically described lymphatic drainage pathways using ITM in melanoma of the lower extremity as a model. However, the limitations of our work must be considered before this knowledge can be applied for example to assess risk areas for ITM: (i) In our clinical collective we could only identify 94 patients with ITM of the leg in our center within a 20-year time frame, (ii) the analysis of ITM along lymphatic vessels was limited to melanoma of the lower leg and foot as only in the distal lower extremity lymphatic drainage patterns have been systematically investigated, (iii) evaluable photo documentation to analyze the lymphatic drainage patterns of melanoma of the lower leg and foot was only available in 46 patients, (iv) analysis of conventional, non-standardized photographs proved to be particularly difficult and possibly error-prone compared to 3D total body photography (in use in our department since 2019), (v) the localization of melanoma lesions was determined almost exclusively based on the presence of scars and comparison of the patients’ medical records. Especially for primary melanomas excised with a safety margin (sometimes toe amputation), the localization of melanoma lesions had to be extrapolated in the middle of the scar, (vi) changes in the physiologic lymphatic drainage pathways due to surgery around primary melanomas, ITM, and lymphadenectomy may have occurred in all patients, and (vii) due to methodological reasons, the anatomical study did not examine toe and plantar drainage, which remain not well defined. Therefore, the poor correlation observed between ITM and primary melanoma at the foot in our cohort suggests a critical re-evaluation with regard to lymphatic drainage pathways of the toes and the plantar region.

In summary, our results demonstrate the in vivo relevance of anatomic lymphatic pathways in ITM formation in 46 evaluable patients with melanoma of the leg. Together with clinical risk factors that we have confirmed, this knowledge may be used for a better risk assessment in the follow-up of melanoma patients and to develop a model for ITM in melanoma of the leg in the future.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

ME and KM designed the study, performed data acquisition and analysis, and wrote the manuscript. ME, KM, and SM interpreted the data. CB, CV, MH, LH, EK, RK, and BS-T collected patient data and clinical information. CB, CV, MH, LH, EK, RK, SM, BS-T, VS, TS, and AW critically revised the manuscript. All authors contributed to the article and approved the submitted version.

Acknowledgments

This study was performed as part of a medical doctoral thesis by KM, and results were presented virtually at the annual German Skin Cancer Conference of the Dermatologic Cooperative Oncology Group (DeCOG) in September 2021. We thank Christine Luff, Dominik Pappa, and Stefan Schnetz for their technical assistance.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

3D, three-dimensional; ITM, in-transit metastasis.

References

1. Gershenwald J, Scolyer R, Hess K, Sondak V, Long G, Ross M, et al. Melanoma staging: evidence-based changes in the American joint committee on cancer eighth edition cancer staging manual. CA Cancer J Clin. (2017) 67:472–92. doi: 10.3322/caac.21409

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Luke J, Rutkowski P, Queirolo P, Del Vecchio M, Mackiewicz J, Chiarion-Sileni V, et al. Pembrolizumab versus placebo as adjuvant therapy in completely resected stage IIB or IIC melanoma (KEYNOTE-716): a randomised, double-blind, phase 3 trial. Lancet. (2022) 399:1718–29.

Google Scholar

3. Wolchok J, Chiarion-Sileni V, Gonzalez R, Grob J, Rutkowski P, Lao C, et al. Long-term outcomes with nivolumab plus ipilimumab or nivolumab alone versus ipilimumab in patients with advanced melanoma. J Clin Oncol. (2022) 40:127–37.

Google Scholar

4. Morton D, Thompson J, Cochran A, Mozzillo N, Nieweg O, Roses D, et al. Final trial report of sentinel-node biopsy versus nodal observation in melanoma. N Engl J Med. (2014) 370:599–609. doi: 10.1056/NEJMoa1310460

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Kahler K, Egberts F, Gutzmer R. Palliative treatment of skin metastases in dermato-oncology. J Dtsch Dermatol Ges. (2013) 11:1041–5;quiz6.

Google Scholar

6. Read R, Haydu L, Saw R, Quinn M, Shannon K, Spillane A, et al. In-transit melanoma metastases: incidence, prognosis, and the role of lymphadenectomy. Ann Surg Oncol. (2015) 22:475–81.

Google Scholar

7. Shinaoka A, Koshimune S, Suami H, Yamada K, Kumagishi K, Boyages J, et al. Lower-limb lymphatic drainage pathways and lymph nodes: a CT lymphangiography cadaver study. Radiology. (2020) 294:223–9. doi: 10.1148/radiol.2019191169

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Schneider S, Kohli I, Hamzavi I, Council M, Rossi A, Ozog D. Emerging imaging technologies in dermatology: part II: applications and limitations. J Am Acad Dermatol. (2019) 80:1121–31. doi: 10.1016/j.jaad.2018.11.043

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Soglia S, Perez-Anker J, Lobos Guede N, Giavedoni P, Puig S, Malvehy J. Diagnostics using non-invasive technologies in dermatological oncology. Cancers (Basel). (2022) 14:5886.

Google Scholar

10. Hibler B, Qi Q, Rossi A. Current state of imaging in dermatology. Semin Cutan Med Surg. (2016) 35:2–8.

Google Scholar

11. Rayner J, Laino A, Nufer K, Adams L, Raphael A, Menzies S, et al. Clinical perspective of 3D total body photography for early detection and screening of melanoma. Front Med (Lausanne). (2018) 5:152. doi: 10.3389/fmed.2018.00152

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Erdmann M, Heinzerling L, Schuler G, Berking C, Schliep S. Monitoring skin metastases during immuno- and targeted therapy using total-body 3D photography. J Eur Acad Dermatol Venereol. (2021) 35:e61–3. doi: 10.1111/jdv.16806

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Betz-Stablein B, D’Alessandro B, Koh U, Plasmeijer E, Janda M, Menzies S, et al. Reproducible naevus counts using 3D total body photography and convolutional neural networks. Dermatology. (2022) 238:4–11. doi: 10.1159/000517218

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Hogarty D, Su J, Phan K, Attia M, Hossny M, Nahavandi S, et al. Artificial intelligence in dermatology-where we are and the way to the future: a review. Am J Clin Dermatol. (2020) 21:41–7. doi: 10.1007/s40257-019-00462-6

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Betz-Stablein B, Koh U, Edwards H, McInerney-Leo A, Janda M, Soyer H. Anatomic distribution of cherry angiomas in the general population. Dermatology. (2022) 238:18–26. doi: 10.1159/000517172

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kohli I, Isedeh P, Al-Jamal M, DaSilva D, Batson A, Canfield D, et al. Three-dimensional imaging of vitiligo. Exp Dermatol. (2015) 24:879–80. doi: 10.1111/exd.12791

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Robertson S, Kimble R, Storey K, Gee Kee E, Stockton K. 3D photography is a reliable method of measuring infantile haemangioma volume over time. J Pediatr Surg. (2016) 51:1552–6. doi: 10.1016/j.jpedsurg.2016.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Jorgensen L, Skov-Jeppesen S, Halekoh U, Rasmussen B, Sorensen J, Jemec G, et al. Validation of three-dimensional wound measurements using a novel 3D-WAM camera. Wound Repair Regen. (2018) 26:456–62. doi: 10.1111/wrr.12664

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Abbas L, Joseph A, Day J, Cole N, Hallac R, Derderian C, et al. Measuring asymmetry in facial morphea via 3-dimensional stereophotogrammetry. J Am Acad Dermatol. (2023) 88:101–8. doi: 10.1016/j.jaad.2022.05.029

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Nikolis A, Bertucci V, Solish N, Lane V, Nogueira A. An objective, quantitative assessment of flexible hyaluronic acid fillers in lip and perioral enhancement. Dermatol Surg. (2021) 47:e168–73.

Google Scholar

21. Young A, Xiong M, Pfau J, Keiser M, Wei M. Artificial intelligence in dermatology: a primer. J Invest Dermatol. (2020) 140:1504–12. doi: 10.1016/j.jid.2020.02.026

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lee E, Maloney N, Cheng K, Bach D. Machine learning for precision dermatology: advances, opportunities, and outlook. J Am Acad Dermatol. (2021) 84:1458–9. doi: 10.1016/j.jaad.2020.06.1019

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Testori A, Ribero S, Bataille V. Diagnosis and treatment of in-transit melanoma metastases. Eur J Surg Oncol. (2017) 43:544–60.

Google Scholar

24. Nan Tie E, Lai-Kwon J, Rtshiladze M, Na L, Bozzi J, Read T, et al. Efficacy of immune checkpoint inhibitors for in-transit melanoma. J Immunother Cancer. (2020) 8:e000440. doi: 10.1136/jitc-2019-000440

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Weide B, Faller C, Buttner P, Pflugfelder A, Leiter U, Eigentler T, et al. Prognostic factors of melanoma patients with satellite or in-transit metastasis at the time of stage III diagnosis. PLoS One. (2013) 8:e63137. doi: 10.1371/journal.pone.0063137

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Bradford P, Goldstein A, McMaster M, Tucker M. Acral lentiginous melanoma: incidence and survival patterns in the United States, 1986-2005. Arch Dermatol. (2009) 145:427–34. doi: 10.1001/archdermatol.2008.609

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Whiteman D, Bray C, Siskind V, Hole D, MacKie R, Green A. A comparison of the anatomic distribution of cutaneous melanoma in two populations with different levels of sunlight: the west of Scotland and Queensland, Australia 1982-2001. Cancer Causes Control. (2007) 18:485–91. doi: 10.1007/s10552-007-0123-1

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Erdmann M, Sigler D, Uslu U, Gohl J, Grutzmann R, Schuler G, et al. Risk factors for regional and systemic metastases in patients with sentinel lymph node-negative melanoma. Anticancer Res. (2018) 38:6571–7.

Google Scholar

Keywords: melanoma, in-transit metastasis, lower extremity, lymphatic pathways, 3D photography

Citation: Müller K, Berking C, Voskens C, Heppt MV, Heinzerling L, Koch EAT, Kramer R, Merkel S, Schuler-Thurner B, Schellerer V, Steeb T, Wessely A and Erdmann M (2023) Conventional and three-dimensional photography as a tool to map distribution patterns of in-transit melanoma metastases on the lower extremity. Front. Med. 10:1089013. doi: 10.3389/fmed.2023.1089013

Received: 03 November 2022; Accepted: 05 January 2023;
Published: 19 January 2023.

Edited by:

Paola Savoia, Università degli Studi del Piemonte Orientale, Italy

Reviewed by:

Kristen M. Meiburger, Polytechnic University of Turin, Italy
Philippe Lefrançois, McGill University, Canada

Copyright © 2023 Müller, Berking, Voskens, Heppt, Heinzerling, Koch, Kramer, Merkel, Schuler-Thurner, Schellerer, Steeb, Wessely and Erdmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michael Erdmann, www.frontiersin.org michael.erdmann@uk-erlangen.de

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.