High‐frequency ultrasound for differentiation between high‐risk basal cell carcinoma and cutaneous squamous cell carcinoma

Chen, Zi‐Tong; Yan, Jianna; Zhu, Anqi; Wang, Li‐Fan; Wang, Qiao; Liang, Li; Guo, Le‐Hang; Li, Xiaolong; Xu, Hui‐Xiong

doi:10.1111/srt.13121

Cited by 19 publications

(18 citation statements)

References 34 publications

(80 reference statements)

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“…Ultrasound is widely used for the evaluation, staging, and follow up of patients with melanoma, as it is a non-invasive and affordable imaging method and shows increased sensitivity and specificity in detecting melanoma metastases larger than 4.5 mm in diameter that are localized deeper in soft tissues [ 28 , 130 ]. Concerning NMSC, HFUS may provide valuable information regarding the tumor size and depth of invasion, which is of great importance when planning the extent of surgery in the clinical management of BCC and SCC [ 121 , 123 ]. However, due to the inflammation and the hyperkeratotic characteristic of some SCC, HFUS may have a decreased accuracy in investigating the features of SCCs or assessing their depth of invasion.…”

Section: Discussionmentioning

confidence: 99%

“…The visual presentations of SCC are quite similar to those of some high-risk BCC forms which can lead to misdiagnosis in certain cases [ 121 ]. SCC appears as a hypoechogenic mass in relation to the surrounding tissue, without clear specific features that allow the differentiation from other NMSC or skin lesions.…”

Section: Anatomical Imaging Techniquesmentioning

confidence: 99%

“…Nonetheless, Tong Chen et al have recently shown that the internal hyperechoic spots, alongside several other HFUS features, such as lesion size, thickness, posterior acoustic shadowing, and Doppler vascularity pattern, are useful for differential diagnoses between high-risk BCC and SCC. Based on the aforementioned five features, an optimal discrimination model was established with a sensitivity of 91.2%, a specificity of 87.7%, and an accuracy of 89.5% [ 121 ]. It is also worth mentioning that HFUS seems an ideal tool for determining the local aggressiveness of a tumor [ 122 ] and guiding the therapeutic approaches [ 124 ].…”

Section: Anatomical Imaging Techniquesmentioning

confidence: 99%

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Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts

Dobre

Surcel

Constantin

et al. 2023

IJMS

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Early diagnosis is essential for completely eradicating skin cancer and maximizing patients’ clinical benefits. Emerging optical imaging modalities such as reflectance confocal microscopy (RCM), optical coherence tomography (OCT), magnetic resonance imaging (MRI), near-infrared (NIR) bioimaging, positron emission tomography (PET), and their combinations provide non-invasive imaging data that may help in the early detection of cutaneous tumors and surgical planning. Hence, they seem appropriate for observing dynamic processes such as blood flow, immune cell activation, and tumor energy metabolism, which may be relevant for disease evolution. This review discusses the latest technological and methodological advances in imaging techniques that may be applied for skin cancer detection and monitoring. In the first instance, we will describe the principle and prospective clinical applications of the most commonly used imaging techniques, highlighting the challenges and opportunities of their implementation in the clinical setting. We will also highlight how imaging techniques may complement the molecular and histological approaches in sharpening the non-invasive skin characterization, laying the ground for more personalized approaches in skin cancer patients.

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Section: Discussionmentioning

confidence: 99%

Section: Anatomical Imaging Techniquesmentioning

confidence: 99%

Section: Anatomical Imaging Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts

Dobre

Surcel

Constantin

et al. 2023

IJMS

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“…During uHFUS examinations, the lesions were scanned using a linear array transducer with an ultra-high frequency (22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38) MHz, Kolo, Jiangsu, China) to acquire the information, including size, shape, bottom, layer involvement, blood flow distribution, etc. For some extremely superficial or inconspicuous lesions, an ultrasound biomicroscope device with a frequency of 50 MHz (MD-300SII, Meda Ltd, Tianjin, China) was used to explore the aforementioned Differentiation between Superficial Basal Cell Carcinoma and Bowen's Disease Dermatology 2023;239:572-583 DOI: 10.1159/000529448 information.…”

Section: Uhfus Examinationsmentioning

confidence: 99%

The Value of Ultra-High-Frequency Ultrasound for the Differentiation between Superficial Basal Cell Carcinoma and Bowen’s Disease

Zhang¹,

Wang²,

Ni³

et al. 2023

Dermatology

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Background: The similar visual appearance of superficial basal cell carcinoma (sBCC) and Bowen's disease (BD) may cause confusion for diagnosis. Objective: To investigate the value of ultra-high frequency ultrasound (uHFUS) in differentiating sBCC from BD. Materials and methods: This prospective study included a pilot cohort of 110 patients (73 BDs and 37 sBCCs) from November 2016 to October 2020 and a validation cohort of 42 patients (30 BDs and 12 sBCCs) from July 2021 to December 2021. Clinical and uHFUS features of pathologically confirmed sBCC and BD were assessed. A predictive model was developed based on the HFUS features of the pilot cohort. Subsequently, the model was validated and compared with clinical diagnosis in the validation cohort. Results: uHFUS features with significant differences between sBCC and BD included lesion surface, skin layer involvement, hyperkeratosis, and hyperechoic spots (all p < 0.05). A prediction model based on the above features was established to identify sBCC and BD in the pilot and validation cohorts with the areas under the curve (AUC) of 0.908 and 0.923, sensitivity of 82.3% and 83.3%, specificity of 91.9% and 91.7%, accuracy of 85.5% and 85.7%, respectively, which was significantly higher than those obtained by clinical diagnosis based on photographic pictures of lesions, with the AUC of 0.692, sensitivity of 63.3%, specificity of 75.3%, and accuracy of 66.7% (all p < 0.05). Conclusion: uHFUS provides detailed internal features of sBCC and BD, which facilitates the differentiation between sBCC and BD and its diagnostic performance is superior to clinical diagnosis.

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“…The clinical diagnoses of cSCC and BCC are performed by a direct skin inspection 6 , often assisted by dermoscopy 7 . In addition, multiple emerging methods such as optical coherence tomography (OCT) 8 , reflectance confocal microscopy (RCM) 9 , elastic scattering spectroscopy (ESS) 10 and high-frequency ultrasound (HFUS) 11 aim to assist the clinician in diagnosis. Nevertheless, tissue biopsy for histopathological analysis is still essential to confirm the diagnosis, to estimate the risk of recurrence and to further dictate the treatment pathway 12 .…”

Section: Introductionmentioning

confidence: 99%

Proteome sampling with e-biopsy enables differentiation between cutaneous squamous cell carcinoma and basal cell carcinoma

Vitkin

Wise

Berl

et al. 2022

Preprint

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Clinical misclassification between cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) affects treatment plans and carries risks of potential for recurrence, metastases morbidity and mortality. We report the development of a novel tissue sampling approach with molecular biopsy using electroporation. The methods, coined e-biopsy, enables non-thermal permeabilization of cells in the skin for efficient vacuum-assistant extraction of informative biomolecules for rapid diagnosis. We used e-biopsy for ex vivo proteome extraction from 3 locations per patient in 21 cSCC and 21 BCC pathologically validated human tissue samples. The total 126 extracted proteomes were profiled using LC/MS/MS. The obtained mass spectra presented significantly different proteome profiles for cSCC and BCC with several hundreds of proteins significantly differentially expressed in each tumor in comparison to the other. Notably, 17 proteins were uniquely expressed in BCC and 7 were uniquely expressed in cSCC patients. Statistical analysis of differentially expressed proteins found 31 cellular processes, 23 cellular functions and 10 cellular components significantly different between cSCC and BCC. Machine Learning classification models constructed on the sampled proteomes enabled the separation of cSCC patients from BCC with average cross-validation accuracy of 81%, cSCC prediction positive predictive value (PPV) of 78.7% and sensitivity of 92.3%, which is comparable to initial diagnostics in a clinical setup. Finally, the protein-protein interaction analysis of the 11 most informative proteins, derived from Machine Learning framework, enabled detection of a novel protein-protein interaction network valuable for further understanding of skin tumors. Our results provide evidence that the e-biopsy approach could potentially be used as a tool to support cutaneous tumors classification with rapid molecular profiling.

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High‐frequency ultrasound for differentiation between high‐risk basal cell carcinoma and cutaneous squamous cell carcinoma

Cited by 19 publications

References 34 publications

Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts

Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts

The Value of Ultra-High-Frequency Ultrasound for the Differentiation between Superficial Basal Cell Carcinoma and Bowen’s Disease

Proteome sampling with e-biopsy enables differentiation between cutaneous squamous cell carcinoma and basal cell carcinoma

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