Reddy Ravikanth
Department of Radiology, St. John's Hospital, Bengaluru 560034, Karnataka, India.
World J Clin Oncol. 2021 Jun 24;12(6):437-457. doi: 10.5306/wjco.v12.i6.437.
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.
支气管源性癌患者是2019冠状病毒病(COVID-19)、肺炎及相关并发症的高危人群。COVID-19相关肺综合征的症状可能与支气管源性癌进展过程中出现的症状恶化相似。这些相似之处给支气管源性癌的影像学评估增加了进一步的复杂性。临床和影像学表现之间的相似性可能给临床医生区分COVID-19重叠感染和进展期支气管源性癌带来重大挑战,因为上述情况需要截然不同的治疗方法。然而,疫情期间支气管源性癌管理的目标是将患者暴露于COVID-19的风险降至最低,同时仍要处理与支气管源性癌相关的所有危及生命的事件。当前的疫情迫使所有医疗利益相关者根据价值对资源进行优先排序,并重新组织治疗策略,以便及时处理COVID-19相关肺综合征患者。借助人工智能技术处理X线和计算机断层扫描图像有助于对患者进行分诊。世界各地的肿瘤学家已采用针对支气管源性癌患者的改良和更新治疗策略,以便在公认标准和新指南范围内提供不打折扣的治疗。