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Li Y, Blakeley J, Ly I, Berman Y, Lau J, Wolkenstein P, Bergqvist C, Jia W, Milner TE, Katta N, Durkin AJ, Kennedy GT, Rowland R, Romo CG, Fleming J, Kelly KM. Current and Emerging Imaging Techniques for Neurofibromatosis Type 1-Associated Cutaneous Neurofibromas. J Invest Dermatol 2023:S0022-202X(23)01988-7. [PMID: 37330718 DOI: 10.1016/j.jid.2023.03.1681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 02/25/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
A consistent set of measurement techniques must be applied to reliably and reproducibly evaluate the efficacy of treatments for cutaneous neurofibromas (cNFs) in people with neurofibromatosis type 1 (NF1). cNFs are neurocutaneous tumors that are the most common tumor in people with NF1 and represent an area of unmet clinical need. This review presents the available data regarding approaches in use or development to identify, measure, and track cNFs, including calipers, digital imaging, and high-frequency ultrasound sonography. We also describe emerging technologies such as spatial frequency domain imaging and the application of imaging modalities such as optical coherence tomography that may enable the detection of early cNFs and prevention of tumor-associated morbidity.
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Affiliation(s)
- Yingjoy Li
- Department of Dermatology, School of Medicine, University of California, Irvine, California, USA
| | - Jaishri Blakeley
- Comprehensive Neurofibromatosis Center, Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ina Ly
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Yemima Berman
- Department of Clinical Genetics, Royal North Shore Hospital, St Leonards, Australia
| | - Jonathan Lau
- Department of Clinical Genetics, Royal North Shore Hospital, St Leonards, Australia; Sydney Medical School, The University of Sydney, Camperdown, Australia
| | - Pierre Wolkenstein
- Faculty of Medicine and Health, Université Paris-Est Créteil Val de Marne, Créteil, France; Department of Dermatology, National Referral Center for Neurofibromatoses, Henri-Mondor Hospital, Assistance Publique-Hôpital Paris (AP-HP), Créteil, France
| | - Christina Bergqvist
- Department of Dermatology, National Referral Center for Neurofibromatoses, Henri-Mondor Hospital, Assistance Publique-Hôpital Paris (AP-HP), Créteil, France
| | - Wangcun Jia
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA
| | - Thomas E Milner
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA; Department of Biomedical Engineering, University of California, Irvine, California, USA
| | - Nitesh Katta
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA
| | - Anthony J Durkin
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA; Department of Biomedical Engineering, University of California, Irvine, California, USA
| | - Gordon T Kennedy
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA
| | - Rebecca Rowland
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA
| | - Carlos G Romo
- Comprehensive Neurofibromatosis Center, Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jane Fleming
- Department of Clinical Genetics, Royal North Shore Hospital, St Leonards, Australia
| | - Kristen M Kelly
- Department of Dermatology, School of Medicine, University of California, Irvine, California, USA; Beckman Laser Institute & Medical Clinic, University of California, Irvine, California, USA.
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Reiter O, Musthaq S, Kurtansky NR, Barrios DM, Halpern AC, Marchetti MA, Marghoob AA, Nanda JK, Stoll J, Rotemberg V. Suggested methodology for longitudinal evaluation of nevi based on clinical images. Skin Res Technol 2021; 28:71-74. [PMID: 34455638 PMCID: PMC9907704 DOI: 10.1111/srt.13092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 07/31/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Melanoma screening includes the assessment of changes in melanocytic lesions using images. However, previous studies of normal nevus temporal changes showed variable results and the optimal method for evaluating these changes remains unclear. Our aim was to evaluate the reproducibility of (a) nevus count done at a single time point (method I) versus two time points (method II); and (b) manual and automated nevus diameter measurements. MATERIALS AND METHODS In a first experiment, participants used either a single time point or a two time point annotation method to evaluate the total number and size of nevi on the back of an atypical mole syndrome patient. A Monte Carlo simulation was used to calculate the variance observed. In a second experiment, manual measurements of nevi on 2D images were compared to an automated measurement on 3D images. Percent difference in the paired manual and automated measurements was calculated. RESULTS Mean nevus count was 137 in method I and 115.5 in method II. The standard deviation was greater in method I (38.80) than in method II (4.65) (p = 0.0025). Manual diameter measurements had intraclass correlation coefficient of 0.88. The observed mean percent difference between manual and automated diameter measurements was 1.5%. Lightly pigmented and laterally located nevi had a higher percent difference. CONCLUSIONS Comparison of nevi from two different time points is more consistent than nevus count performed separately at each time point. In addition, except for selected cases, automated measurements of nevus diameter on 3D images can be used as a time-saving reproducible substitute for manual measurement on 2D images.
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Affiliation(s)
- Ofer Reiter
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shenara Musthaq
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Dulce M Barrios
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Allan C Halpern
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Ashfaq A Marghoob
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Japbani K Nanda
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Joseph Stoll
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Veronica Rotemberg
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA
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Xu H, Wu X, Chung E, Fonseca M, Dusza SW, Scope A, Geller AC, Bishop M, Marghoob AA, Halpern AC, Marchetti MA. Temporal Changes in Size and Dermoscopic Patterns of New and Existing Nevi in Adolescents. J Invest Dermatol 2019; 139:1828-1830. [PMID: 30802425 DOI: 10.1016/j.jid.2018.12.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 11/15/2018] [Accepted: 12/05/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Haoming Xu
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Xinyuan Wu
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Esther Chung
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Maira Fonseca
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Stephen W Dusza
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Alon Scope
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Medical Screening Institute, Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Alan C Geller
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Marilyn Bishop
- School Health Services, Framingham, Public Schools, Framingham, Massachusetts, USA
| | - Ashfaq A Marghoob
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Allan C Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael A Marchetti
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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Schneider SL, Kohli I, Hamzavi IH, Council ML, Rossi AM, Ozog DM. Emerging imaging technologies in dermatology: Part II: Applications and limitations. J Am Acad Dermatol 2018; 80:1121-1131. [PMID: 30528310 DOI: 10.1016/j.jaad.2018.11.043] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 11/14/2018] [Accepted: 11/20/2018] [Indexed: 12/11/2022]
Abstract
Clinical examination is critical for the diagnosis and identification of response to treatment. It is fortunate that technologies are continuing to evolve, enabling augmentation of classical clinical examination with noninvasive imaging modalities. This article discusses emerging technologies with a focus on digital photographic imaging, confocal microscopy, optical coherence tomography, and high-frequency ultrasound, as well as several additional developing modalities. The most readily adopted technologies to date include total-body digital photography and dermoscopy, with some practitioners beginning to use confocal microscopy. In this article, applications and limitations are addressed. For a detailed discussion of the principles involved in these technologies, please refer to the first part of this review article.
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Affiliation(s)
| | - Indermeet Kohli
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan
| | | | - M Laurin Council
- Division of Dermatology, Washington University, St. Louis, Missouri
| | - Anthony M Rossi
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David M Ozog
- Department of Dermatology, Henry Ford Hospital, Detroit, Michigan.
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Stember JN. Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information. J Digit Imaging 2018; 31:904-911. [PMID: 29796972 DOI: 10.1007/s10278-017-0046-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Ultrasound is notoriously plagued by high user dependence. There is a steep drop-off in information in going from what the sonographer sees during image acquisition and what the interpreting radiologist is able to view at the reading station. One countermeasure is probe localization and tracking. Current implementations are too difficult and expensive to use and/or do not provide adequate detail and perspective. The aim of this work was to demonstrate that a protocol combining surface three-dimensional photographic imaging with traditional ultrasound images may be a solution to the problem of probe localization, this approach being termed surface point cloud ultrasound (SPC-US). Ultrasound images were obtained of major vessels in an ultrasound training phantom, while simultaneously obtaining surface point cloud (SPC) 3D photographic images, with additional scanning performed on the right forearm soft tissues, kidneys, chest, and pelvis. The resulting sets of grayscale/color Doppler ultrasound and SPC images are juxtaposed and displayed for interpretation in a manner analogous to current text-based annotation or computer-generated stick figure probe position illustrations. Clearly demonstrated is that SPC-US better communicates information of probe position and orientation. Overall, it is shown that SPC-US provides much richer image representations of probe position on the patients than the current prevailing schemes. SPC-US turns out to be a rather general technique with many anticipated future applications, though only a few sample applications are illustrated in the present work.
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Affiliation(s)
- Joseph Nathaniel Stember
- Department of Radiology, Columbia University Medical Center, 622 West 168th Street, PB 1-301, New York, NY, 10032, USA.
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