Image Processing for mHealth-Based Approach to Detect the Local Tissue Inflammation in Cutaneous Leishmaniasis: A Proof of Concept Study.

Skin lesions are a feature of many diseases including cutaneous leishmaniasis (CL). Ulcerative lesions are a common manifestation of CL. Response to treatment in such lesions is judged through the assessment of the healing process by regular clinical observations, which remains a challenge for the clinician, health system, and the patient in leishmaniasis endemic countries. In this study, image processing was initially done using 40 CL lesion color images that were captured using a mobile phone camera, to establish a technique to extract features from the image which could be related to the clinical status of the lesion. The identified techniques were further developed, and ten ulcer images were analyzed to detect the extent of inflammatory response and/or signs of healing using pattern recognition of inflammatory tissue captured in the image. The images were preprocessed at the outset, and the quality was improved using the CIE L∗a∗b color space technique. Furthermore, features were extracted using the principal component analysis and profiled using the signal spectrogram technique. This study has established an adaptive thresholding technique ranging between 35 and 200 to profile the skin lesion images using signal spectrogram plotted using Signal Analyzer in MATLAB. The outcome indicates its potential utility in visualizing and assessing inflammatory tissue response in a CL ulcer. This approach is expected to be developed further to a mHealth-based prediction algorithm to enable remote monitoring of treatment response of cutaneous leishmaniasis.

Color Doppler Ultrasonography of digital arteries and digital ulcers development in systemic sclerosis.

BACKGROUND: The aim of this study was to evaluate the role of Color Doppler Ultrasonography (CDUS) of proper palmar digital arteries (PPDA) as predictive marker of new digital ulcers (DUs) in systemic sclerosis (SSc) patients during 5 years follow-up. METHODS: 36 SSc patients were examined using nailfold videocapillaroscopy (NVC) and CDUS of PPDA. RESULTS: Fourteen (38.9%) patients had chronic or acute occlusions (C and D pattern) on CDUS evaluation. Using a cut-off of 0.70, 21 (58.3%) patients had a Resistive Index (RI) ≥0.70. Nineteen (52.8%) patients developed new DUs during the follow-up. The median value of RI was higher in SSc patients with DUs than in SSc patients without DUs [0.73 (IQR 0.70-0.81) vs 0.67 (IQR 0.57-0.70), p < 0.0001]. The Kaplan-Meier analysis showed a free survival from new DUs higher (p < 0.01) in SSc patients with Pattern A and B than SSc patients with Pattern C and D. The Kaplan-Meier curves showed that free survival from new DUs is lower (p < 0.001) in SSc patients with increased RI (≥0.70) than in SSc patients with normal RI. In multivariate analysis with two co-variates, RI ≥ 0.70 [HR 5.197 (1.471-18.359), p < 0.01] and NVC late scleroderma pattern [HR 7.087 (1.989-25.246), p < 0.01] were predictive markers of new DUs. CONCLUSIONS: RI of PPDA in association with NVC could be used to evaluate SSc patients with increased risk of new DUs development.

Ultrasonographic imaging of systemic sclerosis digital ulcers: A systematic literature review and validation steps.

INTRODUCTION/BACKGROUND: Skin ulcers are a complex array of clinical manifestations of systemic sclerosis (SSc) and are often difficult to treat. However, the definition of SSc-skin ulcers has to date not been promising, demonstrating poor reliability and accuracy. There are emerging data that ultrasound has significant potential to evaluate SSc-skin ulcers. OBJECTIVE: To perform a systematic literature review (SLR) to understand the degree to which ultrasound of SSc skin ulcers has been validated according to OMERACT criteria. METHODS: In a SLR, we investigated the Cochrane Library, Web of Science and Pubmed databases for manuscripts from inception to 1st April 2020. Inclusion and exclusion criteria included manuscripts on SSc patients aged over 16 years, performing SSc-related skin ulcer evaluation with ultrasound machines. Papers on animal model, diseases other than SSc, venous ulcers were excluded. Data extraction used a uniform case report form which collected data on patient demographics, disease activity, description of the ultrasound machine and procedures and the degree to which domains of validity were fulfilled. Manuscript evaluation and extraction was performed by two independent assessors, with a third author being consulted in case of disagreement. RESULTS: amongst 308 manuscripts that were identified, 6 published manuscripts/ posters fulfilled the inclusion/exclusion criteria and were extracted. Face validity was found. Three studies developed an US definition of SSc-ulcers across patients (content validity); one study evaluated the concordance between US image and clinical assessment. Criterion validity was shown by one study and ultrasound detected improvement (sensitivity to change) of SSc-skin ulcer in response to therapy. Feasibility was demonstrated by US use for skin ulcers in multiple settings (the 6 manuuscripts/posters). CONCLUSION: This systematic literature review shows that ultrasound for skin ulcers in SSc has been partially validated. It has face, content, criterion validity, responsiveness and reasonable feasibility. Further validation for construct validity, reliability and discrimination is required.

The first composite score predicting Digital Ulcers in systemic sclerosis patients using Clinical data, Imaging and Patient history-CIP-DUS.

BACKGROUND: Digital ulcers (DU) present a challenging complication in systemic sclerosis (SSc). The aim of this study was to combine clinical characteristics and imaging methods to a composite score for the prediction of DU in SSc patients. METHODS: Seventy-nine SSc patients received clinical examination, their patient history was taken and nailfold capillaroscopy (NC), colour Doppler ultrasonography (CDUS) and fluorescence optical imaging (FOI) of the hands were performed at baseline. Newly developed DU over a period of approximately 12 months were registered. We used criteria with area under the curve (AUC) of at least 0.6 in regard to the development of these new DU to create the score (CIP-DUS, clinical features, imaging, patient history-digital ulcer score). RESULTS: Twenty-nine percent of all SSc patients developed new DU during follow-up (48.1% diffuse, 18.4% limited SSc). Based on the cross-validated (cv) AUC, a weight (cvAUC > 0.6 and ≤ 0.65: 1; cvAUC > 0.65 and ≤ 0.7: 2; cvAUC > 0.7: 3) was assigned to each selected parameter. The performance of the final CIP-DUS was assessed with and without the CDUS/FOI component. For the scleroderma patterns in NC, three points were appointed to late, two to active and one point to early capillaroscopy pattern according to Cutolo et al. The CIP-DUS including the CDUS and FOI parameters resulted in a good diagnostic performance (AUC after cross-validation: 0.83, 95%CI 0.74 to 0.92) and was well calibrated (chi-square = 12.3, p = 0.58). The cut-off associated with the maximum of sensitivity and specificity was estimated at ≥ 10 points resulting in a sensitivity of 100% and specificity of 74% for new DU during follow-up. Excluding CDUS and FOI parameters leads to a non-statistically significant lower performance (AUC after cross-validation: 0.81, 95%CI 0.72 to 0.91). However, including CDUS and FOI resulted in a better classification of patients in respect to the outcome new DU in follow-up due to significantly better reclassification performance (NRI = 62.1, p = 0.001) and discrimination improvement (IDI = 9.7, p = 0.01). CONCLUSION: A new score was introduced with the aim to predict digital ulcers. If applied correctly and with the new imaging techniques proposed, all patients at risk of digital ulcers throughout 12 months could be identified.

Segmenting skin ulcers and measuring the wound area using deep convolutional networks.

BACKGROUND AND OBJECTIVES: Bedridden patients presenting chronic skin ulcers often need to be examined at home. Healthcare professionals follow the evolution of the patients' condition by regularly taking pictures of the wounds, as different aspects of the wound can indicate the healing stages of the ulcer, including depth, location, and size. The manual measurement of the wounds' size is often inaccurate, time-consuming, and can also cause discomfort to the patient. In this work, we propose the Automatic Skin Ulcer Region Assessment ASURA framework to accurately segment the wound and automatically measure its size. METHODS: ASURA uses an encoder/decoder deep neural network to perform the segmentation, which detects the measurement ruler/tape present in the image and estimates its pixel density. RESULTS: Experimental results show that ASURA outperforms the state-of-the-art methods by up to 16% regarding the Dice score, being able to correctly segment the wound with a Dice score higher than 90%. ASURA automatically estimates the pixel density of the images with a relative error of 5%. When using a semi-automatic approach, ASURA was able to estimate the area of the wound in square centimeters with a relative error of 14%. CONCLUSIONS: The results show that ASURA is well-suited for the problem of segmenting and automatically measuring skin ulcers.

A superpixel-driven deep learning approach for the analysis of dermatological wounds.

BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models with superpixel-driven segmentation methods for assessing the quality of tissues from dermatological ulcers. METHOD: QTDU consists of a three-stage pipeline for the obtaining of ulcer segmentation, tissues' labeling, and wounded area quantification. We set up our approach by using a real and annotated set of dermatological ulcers for training several deep learning models to the identification of ulcered superpixels. RESULTS: Empirical evaluations on 179,572 superpixels divided into four classes showed QTDU accurately spot wounded tissues (AUC = 0.986, sensitivity = 0.97, and specificity = 0.974) and outperformed machine-learning approaches in up to 8.2% regarding F1-Score through fine-tuning of a ResNet-based model. Last, but not least, experimental evaluations also showed QTDU correctly quantified wounded tissue areas within a 0.089 Mean Absolute Error ratio. CONCLUSIONS: Results indicate QTDU effectiveness for both tissue segmentation and wounded area quantification tasks. When compared to existing machine-learning approaches, the combination of superpixels and deep learning models outperformed the competitors within strong significant levels.

Is there a role for laser speckle contrast analysis (LASCA) in predicting the outcome of digital ulcers in patients with systemic sclerosis?

OBJECTIVE: Digital ulcers (DUs) represent one major burden for patients with systemic sclerosis (SSc). The objectives of our study were to evaluate blood flow in SSc-DUs with laser speckle contrast analysis (LASCA) and to correlate the skin perfusion to clinical and laboratory data. METHODS: Forty DUs in 31 consecutive patients with SSc according to 2013 ACR/EULAR criteria (20 with limited cutaneous disease, 3 males) were prospectively examined with LASCA. Clinical and laboratory data were collected at the same time. DUs were classified according to clinical features and presence of infection. RESULTS: At LASCA analysis, patients with diffuse SSc had lower mean values of blood flow compared with those with limited disease at the finger affected by DUs (88.80 vs 44.40, p = 0.036) and at the periulcer area (p = 0.041). The presence of infection was associated to a higher flow at the finger with DU (103.02 vs 58.05 p = 0.04), at the level of ulcer (217.63 vs 67.15, p < 0.001), and at the periulcer area (p = 0.001). The ratio between the blood flow at the ulcer area and the finger base (UA/FB) showed a bimodal trend in patients with infected DUs and in those without infections. Infection was positive correlated to the time of healing (HT) (r = 0.648, p = 0.023), while in DUs without infection a negative correlation to HT (r = - 0.46, p = 0.015) was identified. CONCLUSIONS: This study demonstrates for the first time that the UA/FB ratio may predict the healing time of DUs in SSc patients and may be crucial for the prognostic stratification of patients. Infection remains one of the main predictors of DU healing.Key Points• The prognostic value of laser speckle contrast analysis (LASCA) in patients with digital ulcers (DUs) in systemic sclerosis remains to be clarified.• LASCA may be able to predict the haling time of the digital ulcers.• The presence of infection of the wound bed may greatly influence the LASCA parameters and the healing time of the digital ulcer.

Necrotic skin ulcers in an immunocompromised patient / Úlceras de piel necróticas en un paciente inmunocomprometido

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Association between baseline clinical and imaging findings and the development of digital ulcers in patients with systemic sclerosis.

OBJECTIVE: Systemic sclerosis (SSc) can lead to ischemic complications such as digital ulcers (DUs). The aim of the study was to find predictors of DUs by clinical and new imaging methods. PATIENTS AND METHODS: All 79 SSc patients included in the study received a clinical, colour Doppler ultrasound (CDUS), fluorescence optical imaging (FOI) and capillaroscopy examination at baseline, and their capacity to predict new DU development was analysed in 76 patients at 12 months follow-up. RESULTS: Twenty-two of 76 patients (28.9%) developed new ulcers during follow-up (diffuse SSc 48.1%; limited SSc 18.4%). Receiver operating characteristic (ROC) curve analysis revealed an area under the curve of 0.7576 for DU development, with a specificity of 87% and a sensitivity of 54.6% (p = 0.0003, OR = 8.1 [95%CI 2.5-25.6]) at a cut-off of ≥ 21 points (ACR/EULAR classification criteria for SSc). Capillaroscopy and CDUS had high sensitivity (100% and 95.5%) but low specificity (28.9% and 22.2%) for ulcer occurrence when used alone, but better specificity (46.3%) when combined (OR = 18.1 [95%CI 2.3-144.4]; p = 0.0004). Using FOI, fingers with pathologic staining had a higher risk for new ulcer development in the same finger (p = 0.0153). General future DU (i.e. DU also in other fingers) was associated with a missing FOI signal in the right digit III at baseline (p = 0.048). CONCLUSION: New imaging modalities can predict digital ulcer development in SSc patients with high sensitivity for capillaroscopy and CDUS and enhanced specificity when combined. A missing signal of FOI in the right digit III at baseline was associated with general future DU.

Evidence of macro- and micro-angiopathy in scleroderma: An integrated approach combining 22-MHz power Doppler ultrasonography and video-capillaroscopy.

OBJECTIVE: We aimed to study in SSc patients macrovascular involvement by using power Doppler ultrasound (PDUS) and microvascular one by PDUS and nailfold video-capillaroscopy (NVC) and to examine the association between history of digital ulcers (HDU) and imaging (PDUS and NVC) parameters. METHODS: NVC and PDUS were systematically performed in 106 consecutive SSc patients at the 3rd and 4th finger of the dominant hand after exclusion of ulnar artery occlusion (UAO). 22 MHz PDUS measurements included nailbed and fingertip qualitatively graded, and resistivity index (RI) of ulnar and radial proper digital arteries. Capillary number/mm was calculated by NVC on the same digits examined by PDUS. RESULTS: Vascularization at fingertip and nailbed showed a good correlation between them and to capillary number. RI, representative of macrovascular involvement, did not correlate to microvascular involvement as assessed by PDUS and NVC. RI and capillary number at NVC showed significant correlation to HDU while fingertip and nailbed vascularization as assessed by PDUS did not. As such, PDUS and NVC provide different and potentially complementary information on SSc-related peripheral macro- and micro-vascular involvement. CONCLUSION: Macro- and micro-vascular involvement in SSc patients are different processes and are not present at the same time in every patient. Thus, both these aspects should be carefully evaluated in SSc patients.

Ultrasound characterization of cutaneous ulcers in systemic sclerosis.

Skin ulcers in scleroderma (SSc) patients are considered a major challenge, both in clinical assessment and treatment decisions. The objective of our study is to assess ultrasonographic (US) morphology of skin ulcers in SSc patients and evaluate if US will be of value in enhancing our clinical information and influence our management plans. We examined a convenience sample of 21 skin ulcers reported in 10 SSc patients by US. We used a previously published US definition of normal skin and developed a preliminary US definition of skin ulcer. Skin ulcers were evaluated by gray scale (GS) and power Doppler (PD) and separated into ulcer and non-ulcer lesions; pain and ulcer measures were obtained using visual analogue scales (VAS). Lesions were characterized and ulcers were clinically and sonographically measured. Ten patients presenting with 21 skin lesions were examined by US. Applying our US definition of skin ulcer, all ulcers were available to measure by ultrasound. Eight lesions were sonographically defined as ulcers, and 13 lesions as non-ulcer lesions. Three ulcers had high PD signals suggestive of infection requiring antibiotic treatment and were monitored for 2 weeks showing a decrease of the pain, VAS, and PD signals. Five lesions showed subclinical calcinosis. This is the first study to show the promising role of US in defining skin ulcers of SSc patients. US may support the assessment of morphology and extent of skin ulcers in SSc and can be a helpful tool for detecting underlying pathology.

Segmentation and Measurement of Chronic Wounds for Bioprinting.

OBJECTIVE: to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS: several segmentation methods used for measuring wound geometry, including edge-detection and morphological operations, region-growing, Livewire, active contours, and texture segmentation, were compared on 26 images from 15 subjects. Ground-truth wound delineations were generated by a dermatologist. The wound coordinates were converted into G-code understandable by the bioprinting robot. Due to its desirable properties, alginate hydrogel was synthesized by dissolving 16% (w/v) sodium-alginate and 4% (w/v) gelatin in deionized water and used for cell encapsulation. RESULTS: Livewire achieved the best performance, with minimal user interaction: 97.08%, 99.68% 96.67%, 96.22, 98.15, and 32.26, mean values, respectively, for accuracy, sensitivity, specificity, Jaccard index, Dice similarity coefficient, and Hausdorff distance. The bioprinter robot was able to print skin cells on the surface of skin with a 95.56% similarity between the bioprinted patch's dimensions and the desired wound geometry. CONCLUSION: we have designed a novel approach for the healing of chronic wounds, based on semiautomatic segmentation of wound images, improving clinicians' control of the bioprinting process through more accurate coordinates. SIGNIFICANCE: this study is the first to perform wound bioprinting based on image segmentation. It also compares several segmentation methods used for this purpose to determine the best.

Clinical and dermoscopic characterization of pediatric and adolescent melanomas: Multicenter study of 52 cases.

BACKGROUND: Knowledge regarding the morphologic spectrum of pediatric melanoma (PM) is sparse, and this may in part contribute to delay in detection and thicker tumors. OBJECTIVE: To analyze the clinicodermoscopic characteristics of PM. METHODS: Retrospective study of 52 melanomas diagnosed in patients before the age of 20 years. RESULTS: On the basis of its clinical, dermoscopic, and histopathologic characteristics, PM can be classified as spitzoid or nonspitzoid. The nonspitzoid melanomas (n = 37 [72.3%]) presented in patients with a mean age of 16.3 years (range, 8-20) and were associated with a high-risk phenotype and a pre-existing nevus (62.2%). The spitzoid melanomas (n = 15 [27.7%]) were diagnosed in patients at a mean age of 12.5 years (range, 2-19) and were mostly de novo lesions (73.3%) located on the limbs (73.3%). Whereas less than 25% of PMs fulfilled the modified clinical ABCD criteria (amelanotic, bleeding bump, color uniformity, de novo at any diameter), 40% of spitzoid melanomas did. Dermoscopic melanoma criteria were found in all cases. Nonspitzoid melanomas tended to be multicomponent (58.3%) or have nevus-like (25%) dermoscopic patterns. Spitzoid melanomas revealed atypical vascular patterns with shiny white lines (46.2%) or an atypical pigmented spitzoid pattern (30.8%). There was good correlation between spitzoid subtype histopathologically and dermoscopically (κ = 0.66). LIMITATIONS: A retrospective study without re-review of pathologic findings. CONCLUSION: Dermoscopy in addition to conventional and modified clinical ABCD criteria helps in detecting PM. Dermoscopy assists in differentiating spitzoid from nonspitzoid melanomas.

Successful treatment of Raynaud's phenomenon and digital ulcers in systemic sclerosis patients with botulinum toxin B injection: Assessment of peripheral vascular disorder by angiography and dermoscopic image of nail fold capillary.

We recently identified the efficacy and safety of a botulinum toxin (BTX)-A/B in Raynaud's phenomenon (RP) and digital ulcers (DU) in Japanese patients with systemic sclerosis (SSc). Detailed assessments of peripheral vascular disorder using angiography and dermoscopic images of nail fold capillaries have not been performed previously. This study aimed to evaluate the effect of BTX-B on SSc-associated peripheral vascular disorder. Two SSc patients who suffered with RP and DU were treated with a BTX-B injection, and thereafter the symptoms of RP were improved and DU healed in both patients. Furthermore, angiography showed an increased blood flow to the palm and fingers, and dermoscopic images of nail fold capillary changes showed improvement. These results suggest that a BTX-B injection may increase peripheral blood flow and improve RP and DU in SSc patients.

Diagnóstico diferencial de una tumoración inguinal: aneurisma anastomótico / Anastomotic aneurysm in the diferential diagnosis of ingual hernia

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Assessment of treatment effects on digital ulcer and blood perfusion by laser speckle contrast analysis in a patient affected by systemic sclerosis.

Laser speckle contrast analysis (LASCA) is a good tool to evaluate the variation in peripheral blood perfusion during long-term follow-up and is able to safely monitor digital ulcer evolution in scleroderma patients. It evaluates blood perfusion in different areas within the skin lesions and surrounding them during standard treatment.

Hypothenar hammer syndrome in an office worker.

Hypothenar hammer syndrome (HHS) is an uncommon cause of unilateral Raynaud's phenomenon, splinter haemorrhages and hypothenar weakness. The typical patient is a male blue-collar worker who uses their hypothenar eminence to hammer objects as part of their work. The distal ulnar artery beyond Guyon's canal is superficial and vulnerable to blunt trauma. CTA and MRA are common initial investigations and can suggest the diagnosis. DSA is the gold standard imaging modality and offers therapeutic opportunities. Management is controversial, but unless there is critical digital ischaemia, conservative treatment is first line.