Imaging diagnosis of bronchogenic carcinoma(the forgotten disease)during times of COVID-19 pandemic:Current and future perspectives  

作　　者：Ravikanth Reddy 

机构地区：[1]Department of Radiology,St.John's Hospital,Bengaluru 560034,Karnataka,India

出　　处：《World Journal of Clinical Oncology》2021年第6期437-457,共21页世界临床肿瘤学杂志（英文版）

摘　　要：Patients with bronchogenic carcinoma comprise a high-risk group for coronavirus disease 2019(COVID-19),pneumonia and related complications.Symptoms of COVID-19 related pulmonary syndrome may be similar to deteriorating symptoms encountered during bronchogenic carcinoma progression.These resemblances add further complexity for imaging assessment of bronchogenic carcinoma.Similarities between clinical and imaging findings can pose a major challenge to clinicians in distinguishing COVID-19 super-infection from evolving bronchogenic carcinoma,as the above-mentioned entities require very different therapeutic approaches.However,the goal of bronchogenic carcinoma management during the pandemic is to minimize the risk of exposing patients to COVID-19,whilst still managing all life-threatening events related to bronchogenic carcinoma.The current pandemic has forced all healthcare stakeholders to prioritize per value resources and reorganize therapeutic strategies for timely management of patients with COVID-19 related pulmonary syndrome.Processing of radiographic and computed tomography images by means of artificial intelligence techniques can facilitate triage of patients.Modified and newer therapeutic strategies for patients with bronchogenic carcinoma have been adopted by oncologists around the world for providing uncompromised care within the accepted standards and new guidelines.

关 键 词：COVID-19 Bronchogenic carcinoma Immune checkpoint inhibitor-related pneumonitis Prioritizing imaging Surveillance of lung nodules Artificial intelligence 

分 类 号：R734.1[医药卫生—肿瘤]