Press Release on Skin Cancer Research: May – 2019

Synthetic Ultra-High-Resolution Millimeter-Wave Imaging for Skin Cancer Detection

This work introduces, for the primary time, a millimeter-wave imaging system with a “synthetic” ultrawide imaging information measure of ninety eight rate to produce the ultra-high resolutions needed for early-stage carcinoma detection. The planned approach consists of ripping the desired ultra-wide imaging information measure into four sub-bands, and distribution every sub-band to a separate imaging part, i.e., associate degree antenna radiator. every of the sub-band antennas transmits and receives signals solely at its corresponding sub-band. The captured signals are then combined and processed to create the image of the target. for every sub-band, a composer tapered slot antenna fed with a mixture of substrate-integrated conductor and planar  waveguide is meant and microfabricated. style techniques also are provided for the four similarly-shaped sub-band antennas for achieving wonderful resistance matches (S eleven [1]

Optical coherence tomography imaging of melanoma skin cancer

No agreement tips exist on the employment of optical coherence imaging (OCT) for designation of connective tissue malignant melanoma. The objectives of this review are to supply a descriptive review of the literature on characteristics of connective tissue melanomas seen on high-definition Gregorian calendar month (HD-OCT), speckle variance Gregorian calendar month (SV-OCT), and traditional Gregorian calendar month and to check their diagnostic ability therewith of histopathology. A review of PubMed and Google Scholar known all out there literature on Gregorian calendar month in malignant melanoma carcinoma that enclosed bushed vivo and ex vivo studies on human or human tissues and excluded all studies on non-human subjects or animal studies. 200 9 abstracts were thought-about for analysis, thirty one abstracts were elect for manuscript review, and fourteen abstracts were enclosed that met all criteria. Diagnoses of MIS and millimetre victimization HD-OCT and SV-OCT were systematically rumored to correlate with histopathology. However, accuracy of designation victimization standard Gregorian calendar month varied. Most authors in agreement that it had been tough to differentiate millimetre from benign nevi victimization standard Gregorian calendar month. HD-OCT, SV-OCT, and traditional Gregorian calendar month show promise for visualizing connective tissue malignant melanoma. the employment of Gregorian calendar month in designation of malignant melanoma is never rumored within the literature. there’s a desire to extend and standardize news of Gregorian calendar month for designation of connective tissue malignant melanoma. [2]

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

Importance  Convolutional neural networks (CNNs) attain expert-level accuracy within the designation of pigmented melanocytic lesions. However, the foremost common kinds of carcinoma are nonpigmented and nonmelanocytic, and are tougher to diagnose.

Objective to check the accuracy of a CNN-based classifier therewith of physicians with totally different levels of expertise.

Design, Setting, and Participants  A CNN-based classification model was trained on 7895 dermoscopic and 5829 close-up pictures of lesions excised at a primary carcinoma clinic between Gregorian calendar month one, 2008, and Gregorian calendar month thirteen, 2017, for a combined analysis of each imaging strategies. The combined CNN (cCNN) was tested on a collection of 2072 unknown cases and compared with results from ninety five human raters UN agency were medical personnel, together with sixty two board-certified dermatologists, with totally different expertise in dermoscopy.

Main Outcomes and Measures  The proportions of correct specific diagnoses and therefore the accuracy to differentiate between benign and malignant lesions measured as a neighborhood beneath the receiver operational graph served as main outcome measures.

Results  Among ninety five human raters (51.6% female; mean age, 43.4 years; ninety five CI, 41.0-45.7 years), the participants were divided into three teams (according to years of expertise with dermoscopy): beginner raters (10 years). the world beneath the receiver operational graph of the trained cCNN was over human ratings (0.742; ninety five CI, 0.729-0.755 vs 0.695; ninety five CI, 0.676-0.713; P [3]

Risk factors for development of new skin neoplasms in patients with past history of skin cancer: A survival analysis

We conducted a retrospective study attending to assess the chance, and associated risk factors, of developing subsequent carcinomas when having a primary identification of skin cancer. we tend to enclosed all patients with biopsy-proven carcinoma attending a medical specialty clinic between July 2007 and July 2017. we tend to assessed the frequency of latest skin cancers, moreover as potential demographic and clinical factors considerably related to prevalence of such neoplasms, that were known by means that of a survival analysis. we tend to analyzed 969 patients with a complete of 1584 skin neoplasms (1122 basal cell carcinomas (BCC), 310 epithelial cell carcinomas (SCC), 143 melanomas and nine different neoplasms). one hundred sixty five patients (17.0%) developed subsequent skin neoplasms. Factors known in multivariable models to be considerably related to development of latest skin cancers enclosed older age (adjusted HR = 1.04 per year; 95%CI = 1.02–1.05; p [4]

Cutaneous Cancers in Irrua, Edo State, Nigeria: A Six Year Review

Introduction: connective tissue cancer is one in every of the leading malignancies in humans [1,2]. it’s typically accessible and amenable by surgery [3]. There are differing kinds of skin cancers; these embrace epithelial cell cancer, basal cell cancer, and skin cancer and Kaposi cancer [3]. the foremost common within the Caucasians is that the basal cell cancer whereas the reports from the Africans have

shown that the epithelial cell because the commonest among them [2]. Most of the skin cancers seldom metastasized except in few cases: those that given as advance lesions and Marjolin’s ulcers [4]. The skin malignancy will gift in any people however common man from the sixth decade of life.

Methodology: this can be a retrospective study of all the patients that given with microscopic anatomy diagnoses of connective tissue cancers into the Irrua Specialist teaching Hospital, Irrua, Edo State Federal Republic of Nigeria from Sept 2010 August 2016. the info were retrieved from the medical records that embrace the bio-data, the predisposing issue, web site of the lesion, microscopic anatomy sort. These knowledge were collated and analyzed mistreatment the IBM SPSS version twenty two (Chicago, Illinois).

Results: there have been forty six patients with microscopic anatomy diagnoses of connective tissue cancers that given throughout the amount underneath review. The ages of the patients vary from nineteen years to eighty four years. The mean age is forty four.37 years Mount Rushmore State seventeen.61 (with mean of thirty-nine.5 years). 65.22% (30) of the patients were within the third, fourth and fifth decades. there have been twenty six males and twenty feminines with male to female quantitative relation of one.3: 1. epithelial cell cancer was the foremost common microscopic anatomy sort (60.9%) and congenital abnormality was the foremost common risk think about the study (47.8%). the most common web site was head and neck eighteen (39.1%) closely followed by lower limbs sixteen (34.8%).

Conclusion: epithelial cell cancer continues to be the most common variety of skin cancers however congenital abnormality was the foremost common risk issue. this could ensue to extend hospital presentation of the albinos. hindrance of skin cancers in albinos can possibly cut back the incidence of skin cancers by virtually fiftieth. [5]

Reference

[1] Mirbeik-Sabzevari, A., Li, S., Garay, E., Nguyen, H.T., Wang, H. and Tavassolian, N., 2019. Synthetic ultra-high-resolution millimeter-wave imaging for skin cancer detection. IEEE Transactions on Biomedical Engineering, 66(1), pp.61-71. (Web Link)

[2] Rajabi-Estarabadi, A., Bittar, J.M., Zheng, C., Nascimento, V., Camacho, I., Feun, L.G., Nasiriavanaki, M., Kunz, M. and Nouri, K., 2019. Optical coherence tomography imaging of melanoma skin cancer. Lasers in medical science, 34(2), pp.411-420. (Web Link)

[3] Tschandl, P., Rosendahl, C., Akay, B.N., Argenziano, G., Blum, A., Braun, R.P., Cabo, H., Gourhant, J.Y., Kreusch, J., Lallas, A. and Lapins, J., 2019. Expert-level diagnosis of nonpigmented skin cancer by combined convolutional neural networks. JAMA dermatology, 155(1), pp.58-65. (Web Link)

[4] Ana Filipa Duarte, Bernardo Sousa-Pinto, Eckart Haneke & Osvaldo Correia

Scientific Reportsvolume 8, Article number: 15744 (2018) (Web Link)

[5] Olasupo, A., Emmanuel, E., Eshiobo, I. and Clifford, O. (2017) “Cutaneous Cancers in Irrua, Edo State, Nigeria: A Six Year Review”, Journal of Advances in Medicine and Medical Research, 23(7), pp. 1-6. doi: 10.9734/JAMMR/2017/35603. (Web Link)

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