Search

Your search keyword '"Menzies, Scott W."' showing total 141 results
Start Over Author "Menzies, Scott W." Search Limiters Peer Reviewed
141 results on '"Menzies, Scott W."'

1. Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trial

Author

Menzies, Scott W, Sinz, Christoph, Menzies, Michelle, Lo, Serigne N, Yolland, William, Lingohr, Johann, Razmara, Majid, Tschandl, Philipp, Guitera, Pascale, Scolyer, Richard A, Boltz, Florentina, Borik-Heil, Liliane, Herbert Chan, Hsien, Chromy, David, Coker, David J, Collgros, Helena, Eghtedari, Maryam, Corral Forteza, Marina, Forward, Emily, Gallo, Bruna, Geisler, Stephanie, Gibson, Matthew, Hampel, Amelie, Ho, Genevieve, Junez, Laura, Kienzl, Philipp, Martin, Arthur, Moloney, Fergal J, Regio Pereira, Amanda, Ressler, Julia Maria, Richter, Susanne, Silic, Katharina, Silly, Thomas, Skoll, Michael, Tittes, Julia, Weber, Philipp, Weninger, Wolfgang, Weiss, Doris, Woo-Sampson, Ping, Zilberg, Catherine, and Kittler, Harald

Published
2023
Full Text
View/download PDF

4. Dermoscopy of Lentiginous Melanomas and Equivocal Benign Pigmented Macules of the Scalp: A Case-Control Multicentric Study.

Author

Regio Pereira, Amanda, Hirata, Sergio, Pietkiewicz, Paweł, Menzies, Scott W., Brancaccio, Gabriella, Collgros, Helena, Argenziano, Giuseppe, Lo, Serigne N., Ahmed, Tasnia, Pampena, Riccardo, Longo, Caterina, and Guitera, Pascale

Subjects
MACULES, DERMOSCOPY, SCALP, ACTINIC keratosis, CASE-control method, MELANOMA
Abstract

Introduction: Although the dermoscopic features of facial lentiginous melanomas (LM), including lentigo maligna and lentigo maligna melanoma, have been extensively studied, the literature about those located on the scalp is scarce. This study aims to describe the dermoscopic features of scalp LM and assess the diagnostic accuracy of dermoscopy to discriminate them from equivocal benign pigmented macules. Methods: Consecutive cases of scalp LM and histopathology-proven benign but clinically equivocal pigmented macules (actinic keratoses, solar lentigos, seborrhoeic keratoses, and lichen planus-like keratoses) from four referral centres were included. Dermoscopic features were analysed by two blinded experts. The diagnostic performance of a predictive model was assessed. Results: 56 LM and 44 controls were included. Multiple features previously described for facial and extrafacial LM were frequently identified in both groups. Expert's sensitivity to diagnose scalp LM was 76.8% (63.6–87.0) and 78.6% (65.6–88.4), with specificity of 54.5% (38.9–69.6) and 56.8% (41.0–71.7), and fair agreement (kappa coefficient 0.248). The strongest independent predictors of malignancy were (OR, 95% CI) chaos of colour (15.43, 1.48–160.3), pigmented reticular lines (14.96, 1.68–132.9), increased density of vascular network (3.45, 1.09–10.92), and perifollicular grey circles (2.89, 0.96–8.67). The predictive model achieved 85.7% (73.8–93.6) sensitivity, 61.4% (45.5–75.6) specificity, and 81.5 (73.0–90.0) area under curve to discriminate benign and malignant lesions. A diagnostic flowchart was proposed, which should improve the diagnostic performance of dermoscopy. Conclusion: Both facial and extrafacial dermoscopic patterns can be identified in scalp LM, with considerable overlap with benign pigmented macules, leading to low specificity and interobserver agreement on dermoscopy. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

8. The association of dermatologist demographic density with melanoma survival in New South Wales, Australia.

Author

Blake, Stephanie C., Guitera, Pascale, Cust, Anne E., Galea, Claire, Lo, Serigne N., Scolyer, Richard A., Armstrong, Bruce K., Thompson, John F., Menzies, Scott W., Madronio, Christine, Morton, Rachael L., Mann, Graham J., and Watts, Caroline G.

Subjects
MELANOMA, DERMATOLOGISTS, SKIN cancer, MEDICAL care, MEDICAL personnel, DENSITY
Abstract

Keywords: delivery of health care; dermatologists; melanoma; survival EN delivery of health care dermatologists melanoma survival 425 429 5 08/14/23 20230801 NES 230801 Most Australian dermatologists (92%) work in major cities,[1] limiting dermatology access to people residing in urban areas and placing a burden on rural patients to travel to major centres for such care. The density (per 100,000 population) was mapped to regions from the Australian Statistical Geography standard, Statistical Area Level 4 (ASGC-SAL4) from 2011, and categorised.[5] Patients who had multiple primary melanomas had their thickest melanoma included, and those with in situ melanoma or with metastatic melanoma when diagnosed were excluded. 25% of melanomas were diagnosed by dermatologists, 36% by generalist general practitioners (GPs) and 16% by skin-cancer specialised GPs (Table 2). [Extracted from the article]

Published
2023
Full Text
View/download PDF

15. Risk of developing a second primary melanoma after a first primary melanoma in a population-based Australian cohort.

Author

Ni, Yuan, Watts, Caroline G, Scolyer, Richard A, Madronio, Christine, Armstrong, Bruce K, Morton, Rachael L, Menzies, Scott W, Mann, Graham J, Thompson, John F, Lo, Serigne N, and Cust, Anne E

Subjects
MELANOMA, PROPORTIONAL hazards models, SUNSHINE
Abstract

Https://doi.org/10.1093/bjd/ljad076 Dear Editor, People diagnosed with a primary melanoma have a higher risk of developing subsequent primary melanomas compared with the general population; however, individual risk varies substantially.[1] A better understanding of the risk factors and absolute risk of developing a subsequent primary melanoma among individuals with a previous melanoma is important to guide follow-up recommendations for skin surveillance.[2] Using a population-based cohort with long follow-up, we aimed to identify risk factors and absolute risk for developing a second primary melanoma. Table 1 Cox proportional hazard model estimates of risk of developing a second primary melanoma after diagnosis of a first primary melanoma HT

Characteristic. [Extracted from the article]

Published
2023
Full Text
View/download PDF

20. Dermoscopic Evaluation of Nodular Melanoma

Author

Menzies, Scott W., Moloney, Fergal J., Byth, Karen, Avramidis, Michelle, Argenziano, Giuseppe, Zalaudek, Iris, Braun, Ralph P., Malvehy, Josep, Puig, Susana, Rabinovitz, Harold S., Oliviero, Margaret, Cabo, Horacio, Bono, Riccardo, Pizzichetta, Maria A., Claeson, Magdalena, Gaffney, Daniel C., Soyer, H. Peter, Stanganelli, Ignazio, Scolyer, Richard A., Guitera, Pascale, Kelly, John, McCurdy, Olivia, Llambrich, Alex, Marghoob, Ashfaq A., Zaballos, Pedro, Kirchesch, Herbert M., Piccolo, Domenico, Bowling, Jonathan, Thomas, Luc, Terstappen, Karin, Tanaka, Masaru, Pellacani, Giovanni, Pagnanelli, Gianluca, Ghigliotti, Giovanni, Ortega, Blanca Carlos, Crafter, Greg, Ortiz, Ana María, Tromme, Isabelle, Karaarslan, Isil Kilinc, Ozdemir, Fezal, Tam, Anthony, Landi, Christian, Norton, Peter, Kaçar, Nida, Rudnicka, Lidia, Slowinska, Monika, Simionescu, Olga, Di Stefani, Alessandro, Coates, Elliot, and Kreusch, Juergen

Published
2013
Full Text
View/download PDF

23. Negative pigment network: An additional dermoscopic feature for the diagnosis of melanoma

Author

Pizzichetta, Maria A., Talamini, Renato, Marghoob, Ash A., Soyer, Peter H., Argenziano, Giuseppe, Bono, Riccardo, Corradin, Teresa M., De Giorgi, Vincenzo, Gonzalez, Marian A., Kolm, Isabel, Kopf, Andrew W., Malvehy, Joseph, Nami, Niccolò, Oliviero, Margaret, Pellacani, Giovanni, Puig, Susana, Rabinovitz, Harold, Rubegni, Pietro, Seidenari, Stefania, Stanganelli, Ignazio, Veronesi, Andrea, Zalaudek, Iris, Zampieri, Pierfrancesco, and Menzies, Scott W.

Published
2013
Full Text
View/download PDF

36. The Additive Value of 3D Total Body Imaging for Sequential Monitoring of Skin Lesions: A Case Series.

Author

Grochulska, Katarzyna, Betz-Stablein, Brigid, Rutjes, Chantal, Chiu, Frank Po-Chao, Menzies, Scott W., Soyer, H. Peter, and Janda, Monika

Subjects
DERMOSCOPY, THREE-dimensional imaging, MELANOMA
Abstract

Background: Timely diagnosis is the cornerstone of melanoma morbidity and mortality reduction. 2D total body photography and dermoscopy are routinely used to assist with early detection of skin malignancies. Polarized 3D total body photography is a novel technique that enables fast image acquisition of almost the entire skin surface. We aimed to determine the added value of 3D total body photography alongside dermoscopy for monitoring cutaneous lesions. Methods: Lesion images from high-risk individuals were assessed for long-term substantial changes via dermoscopy and 3D total body photography. Three case studies are presented demonstrating how 3D total body photography may enhance lesion analysis alongside traditional dermoscopy. Results: 3D total body photography can assist clinicians by presenting cutaneous lesions in their skin ecosystem, thereby providing additional clinical context and enabling a more holistic assessment to aid dermoscopy interpretation. For lesion cases where previous dermoscopy is unavailable, corresponding 3D images can substitute for baseline dermoscopy. Additionally, 3D total body photography is not susceptible to artificial stretch artefacts. Conclusion: 3D total body photography is valuable alongside dermoscopy for monitoring cutaneous lesions. Furthermore, it is capable of surveilling almost the entire skin surface, including areas not traditionally monitored by sequential imaging. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

37. Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.

Author

Betz-Stablein, Brigid, D'Alessandro, Brian, Koh, Uyen, Plasmeijer, Elsemieke, Janda, Monika, Menzies, Scott W., Hofmann-Wellenhof, Rainer, Green, Adele C., and Soyer, H. Peter

Subjects
CONVOLUTIONAL neural networks, NEVUS, DYSPLASTIC nevus syndrome, MELANOMA, BODY image, MACHINE learning
Abstract

Background: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuable tool for image classification in dermatology. Objectives: To test whether automated, reproducible naevus counts are possible through the combination of convolutional neural networks (CNN) and three-dimensional (3D) total body imaging. Methods: Total body images from a study of naevi in the general population were used for the training (82 subjects, 57,742 lesions) and testing (10 subjects; 4,868 lesions) datasets for the development of a CNN. Lesions were labelled as naevi, or not ("non-naevi"), by a senior dermatologist as the gold standard. Performance of the CNN was assessed using sensitivity, specificity, and Cohen's kappa, and evaluated at the lesion level and person level. Results: Lesion-level analysis comparing the automated counts to the gold standard showed a sensitivity and specificity of 79% (76–83%) and 91% (90–92%), respectively, for lesions ≥2 mm, and 84% (75–91%) and 91% (88–94%) for lesions ≥5 mm. Cohen's kappa was 0.56 (0.53–0.59) indicating moderate agreement for naevi ≥2 mm, and substantial agreement (0.72, 0.63–0.80) for naevi ≥5 mm. For the 10 individuals in the test set, person-level agreement was assessed as categories with 70% agreement between the automated and gold standard counts. Agreement was lower in subjects with numerous seborrhoeic keratoses. Conclusion: Automated naevus counts with reasonable agreement to those of an expert clinician are possible through the combination of 3D total body photography and CNNs. Such an algorithm may provide a faster, reproducible method over the traditional in person total body naevus counts. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

38. Association Between Melanoma Detected During Routine Skin Checks and Mortality.

Author

Watts, Caroline G., McLoughlin, Kirstie, Goumas, Chris, van Kemenade, Cathelijne H., Aitken, Joanne F., Soyer, H. Peter, Fernandez Peñas, Pablo, Guitera, Pascale, Scolyer, Richard A., Morton, Rachael L., Menzies, Scott W., Caruana, Michael, Kang, Yoon Jung, Mann, Graham J., Chakera, Annette H., Madronio, Christine M., Armstrong, Bruce K., Thompson, John F., and Cust, Anne E.

Published
2021
Full Text
View/download PDF

39. Dermoscopic Evaluation of Amelanotic and Hypomelanotic Melanoma

Author

Menzies, Scott W., Kreusch, Juergen, Byth, Karen, Pizzichetta, Maria A., Marghoob, Ashfaq, Braun, Ralph, Malvehy, Josep, Puig, Susana, Argenziano, Giuseppe, Zalaudek, Iris, Rabinovitz, Harold S., Oliviero, Margaret, Cabo, Horacio, Ahlgrimm-Siess, Verena, Avramidis, Michelle, Guitera, Pascale, Soyer, H. Peter, Ghigliotti, Giovanni, Tanaka, Masaru, Perusquia, Ana M., Pagnanelli, Gianluca, Bono, Riccardo, Thomas, Luc, Pellacani, Giovanni, Langford, David, Piccolo, Domenico, Terstappen, Karin, Stanganelli, Ignazio, Llambrich, Alex, and Johr, Robert

Published
2008

46. The Performance of SolarScan: An Automated Dermoscopy Image Analysis Instrument for the Diagnosis of Primary Melanoma

Author

Menzies, Scott W., Bischof, Leanne, Talbot, Hugues, Gutenev, Alex, Avramidis, Michelle, Wong, Livian, Lo, Sing Kai, Mackellar, Geoffrey, Skladnev, Victor, McCarthy, William, Kelly, John, Cranney, Brad, Lye, Peter, Rabinovitz, Harold, Oliviero, Margaret, Blum, Andreas, Virol, Alexandra, DeʼAmbrosis, Brian, McCleod, Roderick, Koga, Hiroshi, Grin, Caron, Braun, Ralph, and Johr, Robert

Published
2005

Catalog

Books, media, physical & digital resources
See catalog results