Automated Estimation of Melanocytic Skin Tumor Thickness by Ultrasonic Radiofrequency Data

High-frequency ultrasound accuracy in preoperative cutaneous melanoma assessment: A meta-analysis

BACKGROUND

High-frequency ultrasound (HFUS) can safely and efficiently visualize cutaneous tumour characteristics including depth.

OBJECTIVES

We aimed to evaluate its accuracy in measuring melanoma depth against the gold standard, histopathology, for treatment planning.

METHODS

A review of publications was conducted in March 2023 through five electronic databases. Thirty-six included articles studied patients who received HFUS (≥10 MHz) measurements, melanoma biopsy or excision, and reported a tumour depth correlation coefficient between HFUS and histopathology. We analysed correlation coefficients between HFUS and histopathology, measured tumour depths and shed light on reasons for mismeasurements. Additionally, we identified the reporting of critical metrics including, lesion characteristics, melanoma subtype, type of correlation coefficient, 95% confidence intervals for Pearson coefficients and sample size.

RESULTS

The most common tumour imaged was superficial spreading melanoma on the trunk and extremities, followed by head/face. Maximum ultrasound frequencies ranged from 13 MHz to 100 MHz with participants ranging from 5 to 264. Histopathology and HFUS correlation coefficients ranged from 0.417 to 0.997 (median: 0.94, mean: 0.89 and SD: 0.13). Lower frequency probes (10-20 MHz) were less accurate in assessing melanoma thickness, with a cumulative mean correlation coefficient of 0.87 compared to 0.94 (20-25 MHz) and 0.98 (≥70 MHz). Studies demonstrated higher sonographic accuracy in melanomas >0.75 mm. Additionally, ultrasound may report increased melanoma depth compared to histopathology for reasons including lymphocytic infiltration, presence of a nevus and shrinkage during specimen processing. Furthermore, we found a gap in the reporting of details such as fundamental characteristics of lesion populations. Specifically, 86% (31 out of 36) of the studies failed to report one or more critical metrics, such as mean, median or range of lesion depths.

CONCLUSIONS

HFUS may serve as a supplementary tool for preoperative melanoma assessment, with increased accuracy in thicker tumours. Frequencies <20 MHz are less reliable in assessing depth. Frequencies ≥70 MHz demonstrate stronger correlations to histopathology. Higher ultrasound accuracy was seen for melanomas with Breslow depth >0.75 mm.

Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review

Over the last few decades, computer-aided diagnosis systems have become a part of clinical practice. They have the potential to assist clinicians in daily diagnostic tasks. The image processing techniques are fast, repeatable, and robust, which helps physicians to detect, classify, segment, and measure various structures. The recent rapid development of computer methods for high-frequency ultrasound image analysis opens up new diagnostic paths in dermatology, allergology, cosmetology, and aesthetic medicine. This paper, being the first in this area, presents a research overview of high-frequency ultrasound image processing techniques, which have the potential to be a part of computer-aided diagnosis systems. The reviewed methods are categorized concerning the application, utilized ultrasound device, and image data-processing type. We present the bridge between diagnostic needs and already developed solutions and discuss their limitations and future directions in high-frequency ultrasound image analysis. A search was conducted of the technical literature from 2005 to September 2022, and in total, 31 studies describing image processing methods were reviewed. The quantitative and qualitative analysis included 39 algorithms, which were selected as the most effective in this field. They were completed by 20 medical papers and define the needs and opportunities for high-frequency ultrasound application and CAD development.

The EFSUMB Guidelines and Recommendations for Musculoskeletal Ultrasound - Part I: Extraarticular Pathologies

The first part of the guidelines and recommendations for musculoskeletal ultrasound, produced under the auspices of the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB), provides information about the use of musculoskeletal ultrasound for assessing extraarticular structures (muscles, tendons, entheses, ligaments, bones, bursae, fasciae, nerves, skin, subcutaneous tissues, and nails) and their pathologies. Clinical applications, practical points, limitations, and artifacts are described and discussed for every structure. After an extensive literature review, the recommendations have been developed according to the Oxford Centre for Evidence-based Medicine and GRADE criteria and the consensus level was established through a Delphi process. The document is intended to guide clinical users in their daily practice.

Diagnostics of Melanocytic Skin Tumours by a Combination of Ultrasonic, Dermatoscopic and Spectrophotometric Image Parameters

Dermatoscopy, high-frequency ultrasonography (HFUS) and spectrophotometry are promising quantitative imaging techniques for the investigation and diagnostics of cutaneous melanocytic tumors. In this paper, we propose the hybrid technique and automatic prognostic models by combining the quantitative image parameters of ultrasonic B-scan images, dermatoscopic and spectrophotometric images (melanin, blood and collagen) to increase accuracy in the diagnostics of cutaneous melanoma. The extracted sets of various quantitative parameters and features of dermatoscopic, ultrasonic and spectrometric images were used to develop the four different classification models: logistic regression (LR), linear discriminant analysis (LDA), support vector machine (SVM) and Naive Bayes. The results were compared to the combination of only two techniques out of three. The reliable differentiation between melanocytic naevus and melanoma were achieved by the proposed technique. The accuracy of more than 90% was estimated in the case of LR, LDA and SVM by the proposed method.

The significance of spectrophotometric image analysis for diagnosis of the melanocytic skin tumours in association with their thickness

BACKGROUND

Cutaneous melanoma is a melanocytic skin tumour, which has very poor prognosis while it is highly resistant to treatment and tends to metastasize. Thickness of melanoma is one of the most important biomarker for stage of disease, prognosis and surgery planning. In this study, we hypothesized that the analysis of spectrophotometric (SIAscope) images can provide the information about skin tumour thickness.

METHODS

The intensity of blood displacement, "erythematous blush", collagen holes, intensity of collagen, dermal and epidermal melanin were estimated in SIAgraphs. Tumour thicknesses were evaluated non-invasively in ultrasound images before excision. The diagnosis and Breslow index of each tumour were evaluated during routine histological examination.

RESULTS

The logistic regression analysis of two thicknesses groups of melanocytic tumours (≤1 mm, n = 72 and >1 mm, n = 30), using six SIAscopic features lead to achieve the areas under the ROC curves of 0.9 and 0.96 respectively. Overall the sensitivity and specificity of SIAscopy observed in this study is 81.4% and 86.4% respectively.

CONCLUSION

The features of SIAgraphs individually are not enough specific for melanoma diagnosis with different thickness. Promising results were observed for differentiation of melanocytic skin tumour, using all 6 SIAscopic features, which correspond to the distribution, location and concentration of skin chromophores.

One Step Surgery for Cutaneous Melanoma: "We Cannot Solve Our Problems with the Same Thinking We Used When We Created Them?"

One step melanoma surgery is, in fact, an innovative combined method for diagnosis and treatment of cutaneous melanoma (at the same time). The methodology allows an accurate assessment of the actual status of the affected patients by 1) clinical status, dermatoscopy, high-frequent ultrasonography (HFUS) of the pigmented lesion (eventually in combination with normal lymph nodes ultrasonography), followed by a single surgical intervention. Within this intervention, the primary tumour is removed with the appropriate surgical field, with or without parallel detection and draining lymph node biopsy (depending on the established tumour thickness). Removal of the lymph node may, in turn, be associated with or without locoregional lymphadenectomy, which is determined by its macroscopic appearance, established intraoperatively or after the histopathological evaluation. The methodology is sparing, innovative, easy to apply, tested in its functionality and logically justified. For an unknown reason, this methodology is not applicable in melanoma treatment’s guidelines in Europe and America. In Bulgaria and France, however, there are centres and hospitals that apply the technique mentioned above with enormous results, in particular in Bulgaria, the methodology is getting more and more improved to the current moment. Based on the above, as well as on the scant experience, we may share the opinion that the current melanoma treatment’s guidelines need major corrections in their recommendations, which are not optimal for patients due to the following facts: (1) the adverse effects on patients as a result of the necessity of at least 2 surgical interventions; (2) the frequent occurrence of changes in the lymph flow after the primary excision; (3) the frequent non-obtaining of the suggested in the guidelines terms for re-excisions with or without sentinel lymph node removal; and (4) the creation of additional financial difficulties for the patients in the framework of two unneeded hospitalizations.

Automatic Differential Diagnosis of Melanocytic Skin Tumors Using Ultrasound Data

We describe a novel automatic diagnostic system based on quantitative analysis of ultrasound data for differential diagnosis of melanocytic skin tumors. The proposed method has been tested on 160 ultrasound data sets (80 of malignant melanoma and 80 of benign melanocytic nevi). Acoustical, textural and shape features have been evaluated for each segmented lesion. Using parameters selected according to Mahalanobis distance and linear support vector machine classifier, we are able to differentiate malignant melanoma from benign melanocytic skin tumors with 82.4% accuracy (sensitivity = 85.8%, specificity = 79.6%). The results indicate that high-frequency ultrasound has the potential to be used for differential diagnosis of melanocytic skin tumors and to provide supplementary information on lesion penetration depth. The proposed system can be used as an additional tool for clinical decision support to improve the early-stage detection of malignant melanoma.