تالیفات

Genetic diversity of Mycobacterium tuberculosis isolates causing pulmonary and extrapulmonary tuberculosis in the capital of Iran  

Genetic diversity of Mycobacterium tuberculosis isolates causing pulmonary and extrapulmonary tuberculosis in the capital of Iran

مولف: Shima Hadifara, b, 1, Leila Shamkhalia, b, 1, Mansour Kargarpour Kamakolia, b, Shayan Mostafaeic, d, Sharareh Khanipoura, Noormohamad Mansoorie, Abolfazl Fateha, b, Seyed Davar Siadata, b, Farzam Vaziria, b, ⁎

خلاصه: Objectives: Evaluation of the genetic diversity of Mycobacterium tuberculosis (M.tb) and determining if the association between a specific genotype and the site of infection is crucial. Accordingly, the current study aimed at comparing predominant M.tb genotypes in pulmonary (PTB) and extrapulmonary tuberculosis (EPTB) isolates circulating in the capital of Iran. Methods: The genetic diversity of culture-confirmed PTB and EPTB isolates were evaluated by Spoligotyping and MIRU-VNTR (mycobacterial interspersed repetitive-unit–variable-number tandem-repeat) typing methods. Genotyping data were analyzed ... سال انتشار: 2019
 

Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: A machine learning and multi-variable modelling study

مولف: Hamid Abdollahia, Shayan Mostafaeib, Susan Cheraghic, d, Isaac Shirie, f, Seied Rabi Mahdavia, d, ⁎, Anoshirvan Kazemnejadb, ⁎

خلاصه: Objectives: Immediately or after head-and-neck (H&N) cancer chemoradiotherapy (CRT), patients may undergone significant sensorineural hearing loss (SNHL) which could affect their quality of life. Radiomic feature analysis is proposed to predict SNHL induced by CRT. Material and methods: 490 image features of 94 cochlea from 47 patients treated with three dimensional conformal RT (3DCRT) for different H&N cancers were extracted from CT images. Different machine learning (ML) algorithms and also least absolute shrinkage and selection ... سال انتشار: 2018