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  • Open Access

    VIEW POINT IN FRENCH

    Manual Lymphatic Drainage for Upper Limb Lymphedema: A Clinician’s Perspective for its Adaptation
    Adapter le Drainage Lymphatique Manuel pour le Lymphœdème du Membre Supérieur: Point de vue de Cliniciens

    Jean-Claude Ferrandez1,*, Pierre-Henri Ganchou2, Serge Theys3, Maria Torres-Lacomba4, Daniel Serin1

    Oncologie, Vol.24, No.1, pp. 25-33, 2022, DOI:10.32604/oncologie.2022.018110

    Abstract Upper limb lympedema is a frequent consequence of breast cancer treatment. The International Society of Lymphology recommends physical therapy for lymphedema management. This treatment includes a combination of manual lymphatic drainage and high-compression bandaging. Actually, the effectiveness of manual lymphatic drainage remains an area of controversy, especially because of the many different techniques called “manual lymphatic drainage” since 1930. The purpose of this review was to emphasise the efficacy of these different techniques according to physiological data and evidence-based practice. To improve the manual lymphatic drainage efficiency, the pressure, sometimes important, should be tailored to each edema and the techniques… More >

  • Open Access

    REVIEW

    Gene Editing in Non-Small Cell Lung Cancer: Current Application and Future Perspective

    Hangxing Wang1,#, Jingyun Fang1,#, Yujiao Wang2,#, Shuo Li2, Zirui Wang2, Wei He2, Nan Wang1, Shuang Luo1, Huimei Zou3,*, Fan Zhang4,5,*

    Oncologie, Vol.24, No.1, pp. 65-83, 2022, DOI:10.32604/oncologie.2022.021863

    Abstract Lung cancer is the most common malignant tumor with the highest morbidity and mortality in the world, and non-small cell lung cancer (NSCLC) accounts for the vast majority of cases. At present, its main treatment methods are still traditional surgery, radiotherapy and chemotherapy, with disadvantages such as a high recurrence rate and limited effectiveness. Therefore, a new, better treatment method is urgently needed. Gene editing technology, as a new genetic engineering approach, has shown great potential in gene research, gene therapy and genetic improvement. It has also emerged as a promising treatment for lung cancer. This paper reviews the current… More >

  • Open Access

    REVIEW IN FRENCH

    Hairy Cell Leukemia and HCL-Like Disorders: Diagnosis and Treatment
    Leucémie à Tricholeucocytes et Autres Proliférations à Cellules Chevelues: Diagnostic et Traitement

    Elsa Maitre, Xavier Troussard*

    Oncologie, Vol.24, No.1, pp. 3-24, 2022, DOI:10.32604/oncologie.2022.021490

    Abstract Hairy cell leukemia (LT) accounts for 2% of all leukemias. The diagnosis is based on the presence in the blood and/ or the marrow of hairy cells expressing CD103, CD123, CD11c and CD25. The BRAFV600E mutation, a molecular marker of the disease, is present in more than 80% of cases. LT should be distinguished from other chronic B-cell lymphoproliferative disorders, including the variant form of hairy cell leukemia (HCL-V) and diffuse splenic red pulp lymphoma (DSRPL). Progress has recently been made in the management of patients. The purine analogues (PNAs) in monotherapy, deoxycoformycin (DCF) or 2-chloro-deoxyadenosine (CDA), remain the first-line… More >

  • Open Access

    EDITORIAL

    Oncologie Issue 1, 2022

    Daniel Serin

    Oncologie, Vol.24, No.1, pp. 1-2, 2022, DOI:10.32604/oncologie.2022.020553

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Tumor-Associated Macrophages Facilitate the Proliferation and Migration of Cervical Cancer Cells

    Yi Zheng1, Youyou Wang2, Chen Zou1, Bicheng Hu2, Min Zhao2, Xinxing Wu2,*

    Oncologie, Vol.24, No.1, pp. 147-161, 2022, DOI:10.32604/oncologie.2022.019236

    Abstract Tumor-associated macrophages (TAMs) are important components in tumor microenvironment. This study intended to explore the influence of TAMs on cervical cancer cells proliferation and migration. The expression levels of TAMs markers, CD68 and CD163, in tissues were examined by immunohistochemistry and increased with the progression of cervical lesions (p < 0.05). TAMs with M2-like phenotype (PMA(Polymethacrylate) induced THP-1 cells) were noticed to promote the proliferation of cervical cancer cells and improve the migration ability of tumor cells. These enhancements were attributed to secreting soluble components and the physical contact between macrophages and tumor cells. The tumor formation and tumor growth… More >

  • Open Access

    ARTICLE

    Competitive Swarm Optimization with Encryption Based Steganography for Digital Image Security

    Ala’ A. Eshmawi1, Suliman A. Alsuhibany2, Sayed Abdel-Khalek3, Romany F. Mansour4,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4173-4184, 2022, DOI:10.32604/cmc.2022.028008

    Abstract Digital image security is a fundamental and tedious process on shared communication channels. Several methods have been employed for accomplishing security on digital image transmission, such as encryption, steganography, and watermarking. Image stenography and encryption are commonly used models to achieve improved security. Besides, optimal pixel selection process (OPSP) acts as a vital role in the encryption process. With this motivation, this study designs a new competitive swarm optimization with encryption based stenographic technique for digital image security, named CSOES-DIS technique. The proposed CSOES-DIS model aims to encrypt the secret image prior to the embedding process. In addition, the CSOES-DIS… More >

  • Open Access

    ARTICLE

    Hybrid Deep Learning Enabled Intrusion Detection in Clustered IIoT Environment

    Radwa Marzouk1, Fadwa Alrowais2, Noha Negm3, Mimouna Abdullah Alkhonaini4, Manar Ahmed Hamza5,*, Mohammed Rizwanullah5, Ishfaq Yaseen5, Abdelwahed Motwakel5

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3763-3775, 2022, DOI:10.32604/cmc.2022.027483

    Abstract Industrial Internet of Things (IIoT) is an emerging field which connects digital equipment as well as services to physical systems. Intrusion detection systems (IDS) can be designed to protect the system from intrusions or attacks. In this view, this paper presents a novel hybrid deep learning with metaheuristics enabled intrusion detection (HDL-MEID) technique for clustered IIoT environments. The HDL-MEID model mainly intends to organize the IIoT devices into clusters and enabled secure communication. Primarily, the HDL-MEID technique designs a new chaotic mayfly optimization (CMFO) based clustering approach for the effective choice of the Cluster Heads (CH) and organize clusters. Moreover,… More >

  • Open Access

    ARTICLE

    Spider Monkey Optimization with Statistical Analysis for Robust Rainfall Prediction

    Mahmoud Ragab1,2,3,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4143-4155, 2022, DOI:10.32604/cmc.2022.027075

    Abstract Rainfall prediction becomes popular in real time environment due to the developments of recent technologies. Accurate and fast rainfall predictive models can be designed by the use of machine learning (ML), statistical models, etc. Besides, feature selection approaches can be derived for eliminating the curse of dimensionality problems. In this aspect, this paper presents a novel chaotic spider money optimization with optimal kernel ridge regression (CSMO-OKRR) model for accurate rainfall prediction. The goal of the CSMO-OKRR technique is to properly predict the rainfall using the weather data. The proposed CSMO-OKRR technique encompasses three major processes namely feature selection, prediction, and… More >

  • Open Access

    ARTICLE

    Fuzzy Logic with Archimedes Optimization Based Biomedical Data Classification Model

    Mahmoud Ragab1,2,3,*, Diaa Hamed4,5

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4185-4200, 2022, DOI:10.32604/cmc.2022.027074

    Abstract Medical data classification becomes a hot research topic in the healthcare sector to aid physicians in the healthcare sector for decision making. Besides, the advances of machine learning (ML) techniques assist to perform the effective classification task. With this motivation, this paper presents a Fuzzy Clustering Approach Based on Breadth-first Search Algorithm (FCA-BFS) with optimal support vector machine (OSVM) model, named FCABFS-OSVM for medical data classification. The proposed FCABFS-OSVM technique intends to classify the healthcare data by the use of clustering and classification models. Besides, the proposed FCABFS-OSVM technique involves the design of FCABFS technique to cluster the medical data… More >

  • Open Access

    ARTICLE

    Underwater Terrain Image Stitching Based on Spatial Gradient Feature Block

    Zhenzhou Wang1, Jiashuo Li1, Xiang Wang1,*, Xuanhao Niu2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4157-4171, 2022, DOI:10.32604/cmc.2022.027017

    Abstract At present, underwater terrain images are all strip-shaped small fragment images preprocessed by the side-scan sonar imaging system. However, the processed underwater terrain images have inconspicuous and few feature points. In order to better realize the stitching of underwater terrain images and solve the problems of slow traditional image stitching speed, we proposed an improved algorithm for underwater terrain image stitching based on spatial gradient feature block. First, the spatial gradient fuzzy C-Means algorithm is used to divide the underwater terrain image into feature blocks with the fusion of spatial gradient information. The accelerated-KAZE (A-KAZE) algorithm is used to combine… More >

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