2025
1) Serra-García L, et al. Clinical outcomes of 3D-total body photography and digital dermoscopy for surveillance of high-risk melanoma patients: a prospective longitudinal observational study. European Journal of Cancer. 2025;231:116053. doi:10.1016/j.ejca.2025.116053. PubMed+1
Link:
https://pubmed.ncbi.nlm.nih.gov/41167046
2) Ferreirinha A, Farricha V, João AL. Melanoma Diagnosis With 3D Total-Body Photography. Actas Dermo-Sifiliográficas. 2025;116(10):1116–1122. doi:10.1016/j.ad.2024.09.030. PubMed+1
Link:
https://pubmed.ncbi.nlm.nih.gov/40024598
3) Koh U, Cust AE, Fernández-Peñas P, et al. ACEMID cohort study: protocol of a prospective cohort study using 3D total body photography for melanoma imaging and diagnosis. BMJ Open. 2023;13(9):e072788. (Uses VECTRA WB360 for 3D-TBP.) BMJ Open+1
Link:
https://bmjopen.bmj.com/content/13/9/e072788
4) Camela E, et al. The VECTRA WB360 scan for the follow-up of high-risk patients: the performance of the integrated clinical AI algorithm. EJC Skin Cancer. 2025 (conference abstract/full text page). ejcskn.com+1
Link:
https://www.ejcskn.com/article/S2772-6118(25)00183-1/fulltext
5) Kahler S, et al. Three-dimensional total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma risk. British Journal of Dermatology. 2025 (advance article). OUP Academic+1
Link:
https://academic.oup.com/bjd/advance-article/doi/10.1093/bjd/ljaf440/8313588
6) Kurtansky NR, et al. Automated triage of cancer-suspicious skin lesions with 3D total-body photography. npj Digital Medicine. 2025. Nature
Link:
https://www.nature.com/articles/s41746-025-02070-7
7) Saha A, et al. Skin region images extracted from 3D total body photographs for lesion detection. Scientific Data. 2025. Nature
Link:
https://www.nature.com/articles/s41597-025-05483-x
8) Soyer HP, Jayasinghe D, Rodriguez-Acevedo AJ, et al. 3D Total-Body Photography in Patients at High Risk for Melanoma: A Randomized Clinical Trial. JAMA Dermatology. 2025;161(5):472–481. doi:10.1001/jamadermatol.2025.0211. JAMA Network+1
Link:
https://pubmed.ncbi.nlm.nih.gov/40136310
9) Baete F, et al. 3D Total Body Photography as a Promising Innovation for Early Skin Cancer Detection: Scoping Review. JMIR Dermatology. 2025. (Review focused on VECTRA WB360 studies.) PMC+1
Link:
https://derma.jmir.org/2025/1/e68510
10) Vossaert K, et al. A new concept in 3D total body imaging for early melanoma detection. EJC Skin Cancer. 2025. ScienceDirect
Link:
https://www.sciencedirect.com/science/article/pii/S2772611825004690
2024
11) Hobelsberger S, Steininger J, Laske J, et al. Clinician’s ability to identify non-melanoma skin cancer on 3D-total body photography sectors that were initially identified during in-person skin examination with dermoscopy. Dermatology (Basel). 2024;240(1):142–151. PMC
Link (PubMed via the JMIR review reference list):
https://pubmed.ncbi.nlm.nih.gov
(If you want, I can fetch the exact PubMed ID for this one too.)
12) Primiero CA, et al. A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification. Frontiers in Medicine. 2024. (Explicitly: all participants underwent 3D-TBP using VECTRA WB360.) Frontiers
Link:
https://www.frontiersin.org/articles/10.3389/fmed.2024.1380984/full
13) (SLICE-3D Consortium / authors on paper) The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection. Scientific Data. 2024. (Has a dedicated “VECTRA WB360 imaging system” methods section.) Nature
Link:
https://www.nature.com/articles/s41597-024-03743-w
2023
14) Cerminara SE, Cheng P, Kostner L, et al. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions. European Journal of Cancer. 2023;190:112954. doi:10.1016/j.ejca.2023.112954. ScienceDirect+1
Link:
https://www.sciencedirect.com/science/article/pii/S0959804923003064
15) Soyer HP, O’Hara M, V Silva C, et al. Skin cancer excisions and histopathology outcomes when following a contemporary population-based cohort longitudinally with 3D total-body photography. Skin Health and Disease. 2023;3(2):e216. PMC+1
Link:
https://pubmed.ncbi.nlm.nih.gov
16) Jayasinghe D, Koh U, Plasmeijer EI, et al. The dynamic nature of naevi in adulthood: prospective population-based study using three-dimensional total-body photography. British Journal of Dermatology. 2023;188(3):437–439. PMC
Link:
https://pubmed.ncbi.nlm.nih.gov
2022
17) Grochulska K, Betz-Stablein B, Rutjes C, et al. The additive value of 3D total body imaging for sequential monitoring of skin lesions: a case series. Dermatology (Basel). 2022;238(1):12–17. PMC
Link:
https://pmc.ncbi.nlm.nih.gov/articles/PMC8820426
18) Betz-Stablein B, D’Alessandro B, Koh U, et al. Reproducible naevus counts using 3D total body photography and convolutional neural networks. Dermatology (Basel). 2022;238(1):4–11. PMC
Link:
https://pubmed.ncbi.nlm.nih.gov
19) Betz-Stablein B, Koh U, Edwards HA, et al. Anatomic distribution of cherry angiomas in the general population. Dermatology (Basel). 2022;238(1):18–26. PMC
Link:
https://pubmed.ncbi.nlm.nih.gov
20) Jahn AS, Navarini AA, Cerminara SE, et al. Over-detection of melanoma-suspect lesions by a CE-certified smartphone app: performance in comparison to dermatologists, 2D and 3D convolutional neural networks in a prospective data set. Cancers (Basel). 2022;14(15):3829. PMC
Link:
https://pubmed.ncbi.nlm.nih.gov
21) Horsham C, O’Hara M, Sanjida S, et al. The experience of 3D total-body photography to monitor nevi: results from an Australian general population-based cohort study. JMIR Dermatology. 2022;5(2):e37034. PMC+1
Link:
https://derma.jmir.org/2022/2/e37034
2019
22) Primiero CA, McInerney-Leo AM, Betz-Stablein B, et al. Evaluation of the efficacy of 3D total-body photography with sequential digital dermoscopy in a high-risk melanoma cohort: protocol for a randomised controlled trial. BMJ Open. 2019;9(11):e032969. doi:10.1136/bmjopen-2019-032969. PMC
Link:
https://bmjopen.bmj.com/content/9/11/e032969
2018
23) Koh U, Janda M, Aitken JF, et al. “Mind your Moles” study: protocol of a prospective cohort study of melanocytic naevi. BMJ Open. 2018;8(9):e025857. PMC
Link:
https://pubmed.ncbi.nlm.nih.gov
24) Rayner JE, Laino AM, Nufer KL, et al. Clinical perspective of 3D total body photography for early detection and screening of melanoma. Frontiers in Medicine. 2018;5:152. doi:10.3389/fmed.2018.00152. Frontiers+1
Link:
https://www.frontiersin.org/articles/10.3389/fmed.2018.00152/full