2021
DOI: 10.1097/cmr.0000000000000782
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Ultra-high-frequency ultrasound monitoring of melanomas arising in congenital melanocytic nevi: a case series

Abstract: The aims of our study were to evaluate with ultra-highfrequency ultrasound (UHFUS) the ultrasound features of congenital melanocytic nevi (CMNs) and malignant melanomas (MMs) arising in CMNs and the correlation between ultrasonographic thickness and histological thickness in MMs. We evaluated 10 patients with smallmedium CMNs and 10 patients with MMs arising in small-medium CMNs. We collected patient's data, clinical and dermoscopic features. The UHFUS was performed using a 70 MHz frequency probe to study the … Show more

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Cited by 10 publications
(15 citation statements)
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References 27 publications
(31 reference statements)
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“…Faita et al 15 used a machine learning approach to process the UHFUS images of melanocytic lesions for the differential diagnosis of melanoma. Janowska et al 16 analyzed, with 70 MHz‐UHFUS, the features of congenital melanocytic nevi and malignant melanomas and the correlation between ultrasonographic and histological thickness. Moreover, in basal and squamous cell carcinoma or cutaneous angiosarcoma, was reported a good correlation between presurgical UHFUS evaluation and histology 17–20 .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Faita et al 15 used a machine learning approach to process the UHFUS images of melanocytic lesions for the differential diagnosis of melanoma. Janowska et al 16 analyzed, with 70 MHz‐UHFUS, the features of congenital melanocytic nevi and malignant melanomas and the correlation between ultrasonographic and histological thickness. Moreover, in basal and squamous cell carcinoma or cutaneous angiosarcoma, was reported a good correlation between presurgical UHFUS evaluation and histology 17–20 .…”
Section: Resultsmentioning
confidence: 99%
“…Faita et al 15 used a machine learning approach to process the UHFUS images of melanocytic lesions for the differential diagnosis of melanoma. Janowska et al 16 12 Evaluate granuloma burden in cutaneous sarcoidosis Reginelli et al 13 ; Varkentin et al 14 ; Faita et al 15 ; Janowska et al 16 ; Nassiri-Kashani et al 17 ; Rohrbach et al 18 ; Hayashi et al 19 ; Oranges et al 20 Evaluate the characteristics of malignant cutaneous lesions, such as melanoma Hayashi et al 21 Evaluate the hair disorders Izzetti et al 22 ; Ferro et al 23 Intraoral Evaluate the salivary gland in Sjogren syndrome Izzetti et al 24 ; Izzetti et al 25 ; Izzetti et al 26 Evaluate the oral bullous lesions Hayashi et al 27 ; Bianchi et al 28 ; Visconti et al 29 Lymphovascular Evaluate lymphatic vessels in the preoperative planning of lymphovascular anastomosis…”
Section: Clinical Evidence: Dermatological Settingmentioning
confidence: 99%
“…38 Moreover, Janowska et al described the potential role of ultrasonographic hypervascularity also in identifying melanoma arising in congenital melanocytic nevus. 39 The detection of sublesional vessels is also possible in B-mode evaluation and they appear as hypoechoic tortuous structures (Figure 5B).…”
Section: Oranges Et Al-ultrasound In Melanoma Managementmentioning
confidence: 99%
“…Since the axial resolution achievable increases with the frequency, high frequencies can be used to investigate superficial structures. Ultra‐high frequency ultrasound (UHFUS) up to 100 MHz, on the contrary, allows a much more detailed view of the epidermis, also obtaining a sub‐millimetric resolution of the skin structures 5,9–12 …”
Section: Introductionmentioning
confidence: 99%
“…Ultra-high frequency ultrasound (UHFUS) up to 100 MHz, on the contrary, allows a much more detailed view of the epidermis, also obtaining a sub-millimetric resolution of the skin structures. 5,[9][10][11][12] Ultra-high frequency ultrasound has been proven to show correlations between ultrasound images and histology with high specific values, as it is able to differentiate between healthy and pathological tissues, with a comparable accuracy to biopsy. 13,14 UHFUS can detect even microscopic structures such as hair follicles and tracts, sebaceous glands, montgomery glands, apocrine glands and arrector pili muscles.…”
Section: Introductionmentioning
confidence: 99%