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  • 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

    ARTICLE

    Lymphoceles: impact on kidney transplant recipients, graft, and healthcare system

    Emily Nguyen1, Michelle Minkovich1, Olusegun Famure1, Yanhong Li1, Anand Ghanekar1,2, Markus Selzner1,2,*, S. Joseph Kim1,3,*, Jason Y. Lee1,4

    Canadian Journal of Urology, Vol.28, No.5, pp. 10848-10857, 2021

    Abstract Introduction: Following kidney transplantation, lymphoceles can impact patient and graft outcomes, while resulting in significant hospital resource utilization. We aimed to characterize the incidence, risk factors, outcomes, and clinical management of lymphoceles among kidney transplant recipients and review impact on health system utilization at a high-volume center.
    Materials and methods: We conducted a single-center, observational cohort study on adults transplanted between January 1, 2005 and December 31, 2017. Incidence, risk factors, and clinical outcomes were assessed using the Kaplan-Meier product-limit method, multivariable logistic regression model, and Cox proportional hazards model, respectively.
    Results: Lymphoceles developed in 72 of 1881… 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 >

  • Open Access

    ARTICLE

    Diagnosis of Leukemia Disease Based on Enhanced Virtual Neural Network

    K. Muthumayil1, S. Manikandan2, S. Srinivasan3, José Escorcia-Gutierrez4,*, Margarita Gamarra5, Romany F. Mansour6

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2031-2044, 2021, DOI:10.32604/cmc.2021.017116 - 21 July 2021

    Abstract White Blood Cell (WBC) cancer or leukemia is one of the serious cancers that threaten the existence of human beings. In spite of its prevalence and serious consequences, it is mostly diagnosed through manual practices. The risks of inappropriate, sub-standard and wrong or biased diagnosis are high in manual methods. So, there is a need exists for automatic diagnosis and classification method that can replace the manual process. Leukemia is mainly classified into acute and chronic types. The current research work proposed a computer-based application to classify the disease. In the feature extraction stage, we… More >

  • Open Access

    ARTICLE

    Application Value of Multi-Slice Spiral CT Multiplanar Reconstruction Technique in the Diagnosis and Clinicopathological Analysis of Gastrointestinal Lymphoma

    Yongtao Yu, Guangdong Zou*

    Oncologie, Vol.23, No.2, pp. 293-301, 2021, DOI:10.32604/Oncologie.2021.015520 - 22 June 2021

    Abstract Objective: The purpose was to explore the value of multi-slice spiral CT (MSCT) multiplanar reconstruction technique in the diagnosis and clinicopathological analysis of gastrointestinal lymphoma (GIL). Methods: 82 GIL patients treated in our hospital from February 2018 to February 2019 were selected as the experimental group of this study, and 82 patients with other gastrointestinal tumors diagnosed by pathology during the same period were selected as the control group. Both groups of patients were scanned by MSCT and analyzed by multiplanar reconstruction technique to compare the diagnostic results and clinicopathological indexes of the two groups. Results: The… More >

  • Open Access

    ARTICLE

    A Nomogram for Predicting Lateral Lymph Node Metastasis in Cases of Papillary Thyroid Micro-Carcinoma with Suspected Lymph Node Metastasis

    Yu Xiao1, Peng Zhou2, Yizi Zheng1, Chang Zheng1, Guowen Liu1, Weixiang Liu3,*

    Oncologie, Vol.23, No.2, pp. 219-228, 2021, DOI:10.32604/Oncologie.2021.016480 - 22 June 2021

    Abstract The elevation for lateral lymph node metastasis (LLNM) plays an important role in therapeutic decision-making for thyroid carcinoma. A reliable forecasting model for LLNM in patients with papillary thyroid micro-carcinoma (PTMC) is needed, using clinicopathological characteristics. A total of 576 PTMC patients with suspicious lateral cervical lymph node (II, III, IV or V region) metastasis and known clinicopathological variables were randomly collected at Shenzhen Second People’s Hospital. Cervical lymph node status of every patient was assessed by ultrasonography (US). The patients in this cohort study underwent thyroidectomy and lateral neck lymph node dissection. Univariate analysis… More >

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