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  • Open Access

    ARTICLE

    Diagnostic and prognostic significance of the lymphocyte/C-reactive protein ratio, neutrophil/lymphocyte ratio, and D-dimer values in patients with COVID-19

    ALPASLAN OZTURK1,*, MEHMET KARA2

    BIOCELL, Vol.46, No.12, pp. 2625-2635, 2022, DOI:10.32604/biocell.2022.023124 - 10 August 2022

    Abstract In this study, our aim was to examine the diagnostic and prognostic significance of lymphocyte/C-reactive protein ratio (LCR), neutrophil/lymphocyte ratio (NLR) and D-dimer parameters in COVID-19 infection. The LCR, NLR, neutrophil count, mean platelet volume (MPV), C-reactive protein (CRP), and D-dimer parameters were evaluated retrospectively. This was a retrospective cohort study with 1000 COVID-19 positive and 1000 healthy control groups, all over the age of 18 years. Odds ratio (OR) and 95% confidence interval (CI) values were calculated for each parameter found to be statistically significant in the univariate and multivariate logistic regression models. Herein,… More >

  • Open Access

    VIEWPOINT

    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 - 31 March 2022

    Abstract Le lymphœdème du membre supérieur est une séquelle du traitement des cancers du sein. Le traitement physique des lymphœdèmes est recommandé par la Société internationale de lymphologie. Il associe drainage lymphatique manuel et bandages de décongestion. Le drainage lymphatique manuel a fait l’objet de critiques quant à son effi- cacité. Or depuis son invention dans les années 1930, de très nombreuses techniques s’intitulent « drainage lymphatique manuel ». Les auteurs distinguent l’efficacité de ces différentes techniques en fonction des données de la physiologie lymphatique et de la démonstration de ses effets basée sur les faits. More >

  • Open Access

    REVIEW

    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 - 31 March 2022

    Abstract La leucémie à tricholeucocytes (LT) représente 2% de l’ensemble des leucémies. Le diagnostic repose sur la présence dans le sang et/ou la moelle de tricholeucocytes: cellules lymphoïdes B au cytoplasme chevelu exprimant le CD103, CD123, CD11c et CD25. La mutation BRAFV600E, marqueur moléculaire de la maladie, est présente dans plus de 80% des cas. La LT doit être distinguée des autres syndromes lymphoprolifératifs chroniques B, notamment des autres proliférations à cellules chevelues, forme variante de la leucémie à tricholeucocytes (LT-V) et lymphome splé- nique diffus de la pulpe rouge (LSDPR). Des progrès thérapeutiques ont été récemment… More >

  • Open Access

    ARTICLE

    Cat-Inspired Deep Convolutional Neural Network for Bone Marrow Cancer Cells Detection

    R. Kavitha1,*, N. Viswanathan2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1305-1320, 2022, DOI:10.32604/iasc.2022.022816 - 08 February 2022

    Abstract Bone marrow cancer is considered to be the most complex and dangerous disease which results due to an uncontrolled growth of white blood cells called leukocytes. Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM) are considered to be important categories of bone cancers, which induces a larger number of cancer cells in the bone marrow, results in preventing the production of healthy blood cells. The advent of Artificial Intelligence, especially machine and deep learning, has expanded humanity’s capacity to analyze and detect these increasingly complex diseases. But, accurate detection of cancer cells and reducing the… More >

  • Open Access

    ARTICLE

    Classification of Leukemia and Leukemoid Using VGG-16 Convolutional Neural Network Architecture

    G. Sriram1, T. R. Ganesh Babu2, R. Praveena2,*, J. V. Anand3

    Molecular & Cellular Biomechanics, Vol.19, No.1, pp. 29-40, 2022, DOI:10.32604/mcb.2022.016966 - 12 January 2022

    Abstract Leukemoid reaction like leukemia indicates noticeable increased count of WBCs (White Blood Cells) but the cause of it is due to severe inflammation or infections in other body regions. In automatic diagnosis in classifying leukemia and leukemoid reactions, ALL IDB2 (Acute Lymphoblastic Leukemia-Image Data Base) dataset has been used which comprises 110 training images of blast cells and healthy cells. This paper aimed at an automatic process to distinguish leukemia and leukemoid reactions from blood smear images using Machine Learning. Initially, automatic detection and counting of WBC is done to identify leukocytosis and then an… More >

  • Open Access

    ARTICLE

    Classification and Diagnosis of Lymphoma’s Histopathological Images Using Transfer Learning

    Schahrazad Soltane*, Sameer Alsharif , Salwa M.Serag Eldin

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 629-644, 2022, DOI:10.32604/csse.2022.019333 - 09 September 2021

    Abstract Current cancer diagnosis procedure requires expert knowledge and is time-consuming, which raises the need to build an accurate diagnosis support system for lymphoma identification and classification. Many studies have shown promising results using Machine Learning and, recently, Deep Learning to detect malignancy in cancer cells. However, the diversity and complexity of the morphological structure of lymphoma make it a challenging classification problem. In literature, many attempts were made to classify up to four simple types of lymphoma. This paper presents an approach using a reliable model capable of diagnosing seven different categories of rare and… More >

  • Open Access

    CASE REPORT

    Hypercalcemia-Leukocytosis syndrome and adenosquamous lung carcinoma: An overlooked conjugation

    JOÃO OLIVEIRA PEREIRA1,2,*, JOÃO GAMA3, DIANA FERREIRA2,4, ARSÉNIO SANTOS2,4

    Oncology Research, Vol.29, No.2, pp. 81-85, 2021, DOI:10.32604/or.2022.023450 - 13 July 2022

    Abstract Hypercalcaemia and leukocytosis are two paraneoplastic conditions associated with poor prognosis. Adenosquamous carcinoma is a rare and aggressive histological subtype of lung cancer consisting of adenocarcinoma and squamous cell components. We report the case of a 57-year-old male smoker who was admitted to the Emergency Room with skull and neck tumefactions, confusion and deteriorated general condition. The complementary study in the ER revealed severe hypercalcaemia (19.8 mg/dL), leukocytosis (18.7 × 109 /L) and extensive osteolytic lesions of the skull on cranioencephalic computer tomography (CT). The patient was stabilized and admitted. Thoracoabdominopelvic CT showed lung parenchyma consolidation More >

  • Open Access

    ARTICLE

    A Retrospective Analysis of 94 Patients with Hemophagocytic Lymphohistiocytosis of Unknown Etiology from a Single Center

    Xiaodan He, Jingshi Wang, Zhao Wang*

    Oncologie, Vol.23, No.4, pp. 559-567, 2021, DOI:10.32604/oncologie.2021.018647 - 31 December 2021

    Abstract Despite extensive work-ups, some patients have been diagnosed with hemophagocytic lymphohistiocytosis (HLH) of unknown etiology. For HLH of unknown etiology, to investigate the clinical features and the factors that may affect the prognosis, we retrospectively reviewed the medical records of 94 patients hospitalized from January 2014 to December 2019. Survival times were evaluated until April 2020. For the 94 patients, the underlying causes of their diseases remained unclear at the end of the follow-up period, and the 1-, 3-, and 6-month survival rates, and the overall survival (OS) rates were 86.2%, 78.7%, 73.4%, and 70.2%,… More >

  • Open Access

    ARTICLE

    An Effective Feature Generation and Selection Approach for Lymph Disease Recognition

    Sunil Kr. Jha1,*, Zulfiqar Ahmad2

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 567-594, 2021, DOI:10.32604/cmes.2021.016817 - 08 October 2021

    Abstract Health care data mining is noteworthy in disease diagnosis and recognition procedures. There exist several potentials to further improve the performance of machine learning based-classification methods in healthcare data analysis. The selection of a substantial subset of features is one of the feasible approaches to achieve improved recognition results of classification methods in disease diagnosis prediction. In the present study, a novel combined approach of feature generation using latent semantic analysis (LSA) and selection using ranker search (RAS) has been proposed to improve the performance of classification methods in lymph disease diagnosis prediction. The performance… More >

  • Open Access

    ARTICLE

    Clinical Significance of PD-L1 Expression and CD8-Positive Tumor-Infiltrating Lymphocytes in Patients with Cavitary Lung Adenocarcinoma

    Jiangyong Liu1,#,*, Mingming Gu2,#, Yang Xue1, Qiong Wang3, Yong Ren3, Wencai Huang1,*

    Oncologie, Vol.23, No.3, pp. 439-452, 2021, DOI:10.32604/oncologie.2021.017220 - 26 September 2021

    Abstract Cavitary lung cancer is a rare type of lung cancer. Generally, the relationship between cavitary lung adenocarcinoma (LUAD) and specific immune checkpoints remains unknown. In this study, we aimed to detect the expression of programmed cell death ligand-1(PD-L1) and the density of CD8-positive (CD8+) tumor-infiltrating lymphocytes (TILs) to evaluate their clinicopathological significance in the case of patients with cavitary LUAD. This study included 65 patients with cavitary LUAD. Patient specimens were obtained from surgery. The expression of PD-L1 protein and CD8+ TIL status was detected by traditional immunohistochemistry and multiplex quantitative immunofluorescence technology. The correlation of… More >

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