Browsing by Author "Aleissa, Saud"

Now showing 1 - 6 of 6
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    Clinical size is a poor predictor of invasion in melanoma of the lentigo maligna type
    (2021) Navarrete-Dechent, Cristian; Aleissa, Saud; Connolly, Karen; Hibler, Brian P.; Dusza, Stephen W.; Rossi, Anthony M.; Lee, Erica; Nehal, Kishwer S.
    Background: There are no well-defined clinical factors to predict the risk of occult invasion in melanoma of the lentigo maligna type (LM) before complete histopathologic analysis.
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    Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
    (2022) Campanella, Gabriele; Navarrete-Dechent, Cristian; Liopyris, Konstantinos; Monnier, Jilliana; Aleissa, Saud; Minhas, Brahmteg; Scope, Alon; Longo, Caterina; Guitera, Pascale; Pellacani, Giovanni; Kose, Kivanc; Halpern, Allan C.; Fuchs, Thomas J.; Jain, Manu
    Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the UnitedStates. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied for histopathological confirmation, thus lowering the specificity of noninvasive BCC diagnosis. Recently, reflectance confocal microscopy, a noninvasive diagnostic technique that can image skin lesions at cellular level resolution, has shown to improve specificity in BCC diagnosis and reduced the number needed to biopsy by 2-3 times. In this study, we developed and evaluated a deep learning-based artificial intelligence model to automatically detect BCC in reflectance confocal microscopy images. The proposed model achieved an area under the curve for the receiver operator characteristic curve of 89.7%(stack level) and 88.3%(lesion level), a performance on par with that of reflectance confocal microscopy experts. Furthermore, themodel achieved an area under the curve of 86.1% on a held-out test set from international collaborators, demonstrating the reproducibility and generalizability of the proposed automated diagnostic approach. These results provide a clear indication that the clinical deployment of decision support systems for the detection of BCC in reflectance confocal microscopy images has the potential for optimizing the evaluation and diagnosis of patients with skin cancer.
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    In vivo imaging characterization of basal cell carcinoma and cutaneous response to high-dose ionizing radiation therapy: A prospective study of reflectance confocal microscopy, dermoscopy, and ultrasonography
    (2021) Navarrete-Dechent, Cristian; Cordova, Miguel; Liopyris, Konstantinos; Aleissa, Saud; Rajadhyaksha, Milind; Cohen, Gil'ad; Marghoob, Ashfaq A.; Rossi, Anthony M.; Barker, Christopher A.
    Background: Radiation therapy (RT) is a treatment option for select skin cancers. The histologic effects of RT on normal skin or skin cancers are not well characterized. Dermoscopy, high-frequency ultrasonography (HFUS), and reflectance confocal microscopy (RCM) are noninvasive imaging modalities that may help characterize RT response.
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    Lentigo maligna melanoma mapping using reflectance confocal microscopy correlates with staged excision: A prospective study
    (2023) Navarrete-Dechent, Cristian; Cordova, Miguel; Aleissa, Saud; Liopyris, Konstantinos; Dusza, Stephen W.; Kose, Kivanc; Busam, Klaus J.; Hollman, Travis; Lezcano, Cecilia; Pulitzer, Melissa; Chen, Chih-Shan J.; Lee, Erica H.; Rossi, Anthony M.; Nehal, Kishwer S.
    Background: Lentigo maligna/lentigo maligna melanoma (LM/LMM) can present with subclinical extension that may be difficult to define preoperatively and lead to incomplete excision and potential recurrence. Preliminarily studies have used reflectance confocal microscopy (RCM) to assess LM/LMM margins.
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    Patterns of reconstruction following margin-controlled surgery for melanoma of the lentigo maligna type of the head and neck
    (Springer Nature, 2025) Navarrete Dechent, Cristian Patricio; Veldhuizen, Inge J.; Aleissa, Saud; Dusza, Stephen W.; Rossi, Anthony M.; Lee, Erica H.; Nehal, Kishwer S.
    Melanoma of the lentigo maligna (LM) type is most commonly located on the head and neck region. This subtype of melanoma poses surgical challenges due to its location on anatomically sensitive areas and frequent presence of subclinical extension. To analyze the reconstruction patterns of LM patients undergoing margin-controlled surgery. An observational study was conducted at Memorial Sloan Kettering Cancer Center, enrolling patients who underwent staged excision for the LM between November 2006 and April 2019. The study included 519 patients. Following margin-controlled surgery, the size of the surgical defects varied: <10 mm(36.2%), 10 and 30 mm (36.8%), and > 30 mm (27%). A flap reconstruction was the most common reconstructive technique (42.6%), followed by primary closure (32.6%), and graft (21.8%). Age was significantly associated with reconstruction type, with older patients more likely to undergo graft reconstructions (p = 0.014). Larger defects (> 30 mm) were reconstructed with grafts and flaps more often compared to smaller defects (p < 0.001 and p = 0.02, respectively). Understanding the scope of reconstruction is important for effective pre-surgical counseling and treatment planning. These findings highlight the importance of personalized strategies considering patients’ age and defect size.
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    Treatment of Extramammary Paget Disease and the Role of Reflectance Confocal Microscopy: A Prospective Study
    (2021) Navarrete-Dechent, Cristian; Aleissa, Saud; Cordova, Miguel; Hibler, Brian P.; Erlendsson, Andres M.; Polansky, Max; Cordova, Frank; Lee, Erica H.; Busam, Klaus J.; Hollmann, Travis; Lezcano, Cecilia; Moy, Andrea; Pulitzer, Melissa; Leitao, Mario M., Jr.; Rossi, Anthony M.
    BACKGROUND Extramammary Paget disease (EMPD) poses treatment challenges. Invasive and noninvasive treatment modalities exist with variable success reported. Reflectance confocal microscopy (RCM) is emerging as an adjuvant diagnostic tool. OBJECTIVE To evaluate the treatment of EMPD patients and the role of RCM. METHODS Prospective study. Demographic and tumor characteristics were recorded. Handheld-RCM was performed and correlated with histology. Treatment, clearance, pathology, and follow-up were all recorded. RESULTS Thirty-six EMPD lesions in 33 patients were included. Mean age was 71.7 years, and 23 were men. Mean number of surgical stages needed to clear margins was 1.9 (SD, 0.9; 1.0-3.0 stages), and mean margin needed to clear was 1.8 cm. Reflectance confocal microscopy correlated well with scouting punch biopsies (kappa, 0.93; p < .001). Disruption of the dermoepidermal junction was associated with invasive EMPD versus in situ (83.3% vs 25.9%) on histology (p = .01). Limitations Relatively small sample size. CONCLUSION Extramammary Paget disease is challenging, and lesion demarcation is of the utmost importance. Using a staged surgical excision approach, the mean margins needed were 1.8 cm, less than previously reported. Nonsurgical modalities, including radiation therapy, imiquimod, or photodynamic therapy can be considered if surgery is not pursued. Reflectance confocal microscopy is a valuable noninvasive imaging modality for the management of EMPD.