Subjective Discomfort during Botulinumtoxin Injections Dependent on Injection Site and Needle Size: A Comparison Between 30G, 33G and 34G Needles.

BACKGROUND: Botulinumtoxin application in the face is amongst the most common aesthetic procedures in the head and neck region. It also has numerous medical uses. One of the main reasons for patients to refrain from it is the subjective discomfort that is experienced during injections. OBJECTIVES: The study at hand aimed to determine whether needles with 33G and 34G offer an advantage in terms of individual pain perception during botulinumtoxin injections. METHODS: We conducted a prospective study where patients were asked to grade subjective discomfort on a visual analogue scale for each region (forehead, glabella, temple) that was treated directly after treatment and 15 minutes after. Patients were treated with 30G, 33G or 34G needles, respectively. RESULTS: Ninety-nine patients that underwent treatment of 189 regions were included in the study. Patients were evenly distributed amongst the different needle sizes and regions. Subjective discomfort was greatest in all regions for 30G needles (3.9 ± 1.6 forehead, 4.3 ± 1.7 glabella and 4.0 ± 1.6 temple) followed by 33G (2.7 ± 1.5 forehead, 2.7 ± 1.9 glabella and 2.2 ± 1.2 temple) and 34G (1.7 ± 1.2 forehead, 1.6 ± 1.4 glabella and 1.6 ± 1.4 temple). All differences between needle size were statistically significant (p < 0.05) CONCLUSION: 33G and 34G needles seem to offer smaller discomfort during BTX treatments of the head and neck, with 34G being superior to 33G. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Lymphatic vessel involvement in primary cutaneous B-cell lymphoma: A common finding?

BACKGROUND: Cutaneous B-cell lymphoma (CBCL) is part of dermatopathological routine diagnostics. However, in contrast to cutaneous T-cell lymphomas, there are only a few studies on the prevalence and possible clinical impact of lymphatic vessel involvement. Therefore, this pilot study aimed to quantify the prevalence of lymphovascular involvement in CBCL and to assess the association between lymphovascular involvement and recurrence. METHODS: Thirty-nine patients from two tertiary care hospitals diagnosed with CBCL were retrospectively identified and their biopsies were histopathologically examined for the presence of lymphatic vessel involvement using H&E stain, and CD20 and D2-40 immunohistochemistry. Clinical data were retrieved from our digital documentation files. RESULTS: Thirty patients were included in the evaluation (nPCFCL = 15, nPCMZL = 10, and nPCLBCL = 5). Lymphovascular involvement occurred in all three types of lymphoma and was present in 14/30 specimens. The presence of lymphatic involvement did not show a significant impact on recurrence rate (p = 0.150). CONCLUSIONS: This immunohistochemical pilot study shows that lymphovascular involvement is a relatively frequent finding in primary CBCL. Although no definitive conclusion can be drawn from our findings because of the small sample size, there were no strong signs of tendencies for recurrence in either group. Future studies with larger sample size are warranted to assess the possible clinical implications.

Differenzierung von kombinierten Nävi und Melanomen: Fallkontrollstudie mit komparativer Analyse der dermatoskopischen Merkmale.

HINTERGRUND: Kombinierte Nävi (KN) zeigen zwei oder mehr Komponenten bestimmter Nävustypen und stellen klassische Melanomsimulatoren dar. In dieser Studie wurde eine vorab definierte Auswahl dermatoskopischer Merkmale sowie drei diagnostische Algorithmen hinsichtlich der Differenzierung von KN und Melanomen evaluiert. PATIENTEN UND METHODIK: Retrospektive, verblindete Fallkontrollstudie mit Vergleich dermatoskopischer Bilder von 36 KN sowie 36 Melanomen. Insgesamt wurden 21 dermatoskopische Merkmale, die Anzahl der Farben sowie drei diagnostische Algorithmen (ABCD-Regel, Menzies-Score, 7-Punkte-Checkliste) untersucht. ERGEBNISSE: 5 von 7 typischen Nävus-Merkmalen wurden signifikant häufiger in KN im Vergleich zu Melanomen gefunden (alle p < 0,05) und zwei Merkmale wurden ausschließlich in KN gefunden. 11 von 14 typischen Melanom-Merkmalen wurden signifikant häufiger in Melanomen im Vergleich zu KN gefunden (alle p < 0,03) und fünf Merkmale wurden ausschließlich in Melanomen gefunden. Die mittlere (± SD) Anzahl der Farben in KN war niedriger im Vergleich zu den Melanomen (2,1 ± 0,6 vs. 3,4 ± 0,7; p < 0,001). Bei den untersuchten Algorithmen zeigte die ABCD-Regel der Dermatoskopie die beste diagnostische Leistung (Sensitivität 91,7 %, Spezifität 77,8 %). SCHLUSSFOLGERUNGEN: Die ABCD-Regel der Dermatoskopie erzielte die beste Differenzierung von KN und Melanomen. Zusätzliches Wissen über KN- oder Melanom-spezifische dermatoskopische Merkmale kann zur sicheren klinischen Diagnose beitragen.

Differentiation of combined nevi and melanomas: Case-control study with comparative analysis of dermoscopic features.

BACKGROUND AND OBJECTIVES: Combined nevi (CN) show two or more components of major nevus subtypes and simulate melanomas. We investigated a panel of dermoscopic features and three dermoscopic algorithms for differentiating CN from melanomas. PATIENTS AND METHODS: Retrospective, blinded case-control study using dermoscopic images of 36 CN and 36 melanoma controls. Twenty-one dermoscopic features validated for the diagnosis of melanocytic lesions, the number of colors, and three dermoscopic algorithms were investigated (ABCD rule of dermoscopy, Menzies scoring method, 7-point checklist). RESULTS: Five of seven features indicative of nevi were observed significantly more frequently in CN than in melanomas (all p < 0.05) and two were exclusively found in CN. Eleven out of 14 features indicative of melanomas were observed significantly more frequently in melanomas than in CN (all p < 0.03) and five were exclusively found in melanomas. The mean (± SD) number of colors in CN was lower than in melanomas (2.1 ± 0.6 versus 3.4 ± 0.7; p < 0.001). Among tested algorithms the ABCD rule of dermoscopy performed best (sensitivity 91.7 %, specificity 77.8 %). CONCLUSIONS: The ABCD rule of dermoscopy differentiated CN from melanomas most efficiently. Additional knowledge of dermoscopic features to be expected exclusively in either CN or melanomas should help dermatologists to make a correct clinical diagnosis.

Angiogenesis in Ocular and Extraocular Sebaceous Carcinoma.

To shed more light on the pathogenesis of sebaceous carcinoma, we analysed the expression of proteins related to angiogenesis in 18 ocular and 22 extraocular sebaceous carcinomas using a broad panel of immunohistochemical markers. To quantify the expression of D2-40, vascular endothelial growth factor, vascular endothelial growth factor receptor-2 and -3, we calculated a quantification score by considering the percentage of positive tumour cells (0=0%, 1=up to 1%, 2=2-10%, 3=11-50%, and 4=>50%) in relation to the staining intensity (0=negative, 1=low, 2=medium, and 3=strong). Additionally, lymphatic microvessel density in the D2-40 stained sections was counted. Vascular endothelial growth factor receptor-3 (quantification score 9.42 ± 2.94) was significantly more strongly expressed than vascular endothelial growth factor receptor-2 (quantification score 2.15 ± 2.42, p < 0.001). Furthermore, epidermal vascular endothelial growth factor expression was negatively correlated with the intratumoural lymphatic vessel density, and the ratio of small lymphatics to large lymphatics was much higher in intratumoural tissue than in paratumoural tissue and in intraindividual control tissue, suggesting a lymphangiogenetic potential of sebaceous carcinoma.

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Background: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking. Methods: Google's Inception v4 CNN architecture was trained and validated using dermoscopic images and corresponding diagnoses. In a comparative cross-sectional reader study a 100-image test-set was used (level-I: dermoscopy only; level-II: dermoscopy plus clinical information and images). Main outcome measures were sensitivity, specificity and area under the curve (AUC) of receiver operating characteristics (ROC) for diagnostic classification (dichotomous) of lesions by the CNN versus an international group of 58 dermatologists during level-I or -II of the reader study. Secondary end points included the dermatologists' diagnostic performance in their management decisions and differences in the diagnostic performance of dermatologists during level-I and -II of the reader study. Additionally, the CNN's performance was compared with the top-five algorithms of the 2016 International Symposium on Biomedical Imaging (ISBI) challenge. Results: In level-I dermatologists achieved a mean (±standard deviation) sensitivity and specificity for lesion classification of 86.6% (±9.3%) and 71.3% (±11.2%), respectively. More clinical information (level-II) improved the sensitivity to 88.9% (±9.6%, P = 0.19) and specificity to 75.7% (±11.7%, P < 0.05). The CNN ROC curve revealed a higher specificity of 82.5% when compared with dermatologists in level-I (71.3%, P < 0.01) and level-II (75.7%, P < 0.01) at their sensitivities of 86.6% and 88.9%, respectively. The CNN ROC AUC was greater than the mean ROC area of dermatologists (0.86 versus 0.79, P < 0.01). The CNN scored results close to the top three algorithms of the ISBI 2016 challenge. Conclusions: For the first time we compared a CNN's diagnostic performance with a large international group of 58 dermatologists, including 30 experts. Most dermatologists were outperformed by the CNN. Irrespective of any physicians' experience, they may benefit from assistance by a CNN's image classification. Clinical trial number: This study was registered at the German Clinical Trial Register (DRKS-Study-ID: DRKS00013570; https://www.drks.de/drks_web/).

Cementless unicompartmental knee replacement allows early return to normal activity.

BACKGROUND: Physical activity and regular participation in recreational sports gain importance in patients' lifestyle after knee arthroplasty. Cementless unicompartimental Knee replacement with the Oxford System has been introduced into clinical routine. Currently there is no data reporting on the physical activity, return to sports rate and quality of live after medial cementless Oxford Unicompartimental Knee Replacement (OUKR). METHODS: This retrospective cohort study reports on the functional outcome of the first 27 consecutive patients (30 knees) that were consecutively treated with a cementless medial OUKR between 2007 and 2009 in our hospital. Physical activity and quality of life were measured using the Tegner-Score, the UCLA-Activity Score, the Schulthess Clinical Activity Questionnaire and the SF-36 Score. The patients' satisfaction with the outcome was measured using a visual analogue scale. RESULTS: Mean age at surgery was 62.5 years. Patients showed a rapid recovery with 17 out of 27 patients returning to sports within 3 months, 24 within 6 months after surgery. The Return-to-activity-rate was 100%. 10 out of 27 patients showed a high activity level (UCLA ≥7 points) with a mean postoperative UCLA-Score of 6.1 points. CONCLUSIONS: Patients recover rapidly after cementless OUKR with a return to sports rate of 100% and patients are able to participate in high impact sports disciplines.

Cementless Oxford medial unicompartimental knee replacement: an independent series with a 5-year-follow-up.

PURPOSE: Cemented unicompartmental knee replacement (UKR) has proven excellent long-term survival rates and functional scores in Price et al. (Clin Orthop Relat Res 435:171-180, 2005), Price and Svard (Clin Orthop Relat Res 469(1):174-179, 2011) and Murray et al. (Bone Joint Surg Br 80(6):983-989, 1998). The main causes for revision, aseptic loosening and pain of unknown origin might be addressed by cementless UKR in Liddle et al. (Bone Joint J 95-B(2):181-187, 2013), Pandit et al. (J Bone Joint Surg Am 95(15):1365-1372, 2013), National Joint Registry for England, Wales and Northern Ireland: 10th Annual Report 2013 ( http://www.njrcentre.org.uk/njrcentre/Portals/0/Documents/England/Reports/10th_annual_report/NJR%2010th%20Annual%20Report%202013%20B.pdf , 2013), Swedish Knee Arthroplasty Register: Annual Report 2013 ( http://www.myknee.se/pdf/SKAR2013_Eng.pdf , 2013). METHODS: This single-centre retrospective cohort study reports the 5-year follow-up results of our first 30 consecutively implanted cementless Oxford UKR (OUKR). Clinical outcome was measured using the OKS, AKSS, range of movement and level of pain (visual analogue scale). The results were compared to cemented OUKR in a matched-pair analysis. RESULTS: Implant survival was 89.7%. One revision each was performed due to tibial fracture, progression of osteoarthritis (OA) and inlay dislocation. The 5-year survival rate of the cementless group was 89.7% and of the cemented group 94.1%. Both groups showed excellent postoperative clinical scores. CONCLUSIONS: Cementless fixation shows good survival rates and clinical outcome compared to cemented fixation.