scholarly journals Early Detection of the Acute Exacerbation of Interstitial Pneumonia after the Surgical Resection of Lung Cancer by Planned Chest Computed Tomography

2017 ◽  
Vol 50 (3) ◽  
pp. 177-183 ◽  
Author(s):  
Kunihiro Oyama ◽  
Masato Kanzaki ◽  
Mitsuko Kondo ◽  
Hideyuki Maeda ◽  
Kei Sakamoto ◽  
...  
Haigan ◽  
2002 ◽  
Vol 42 (6) ◽  
pp. 567-572 ◽  
Author(s):  
Daisuke Okada ◽  
Kiyoshi Koizumi ◽  
Masashi Kawamoto ◽  
Shinobu Henmi ◽  
Kyoji Hirai ◽  
...  

2020 ◽  
Vol 245 (13) ◽  
pp. 1096-1103 ◽  
Author(s):  
Molly D Wong ◽  
Theresa Thai ◽  
Yuhua Li ◽  
Hong Liu

The rapid and dramatic increase in confirmed cases of COVID-19 has led to a global pandemic. Early detection and containment are currently the most effective methods for controlling the outbreak. A positive diagnosis is determined by laboratory real-time reverse transcriptase polymerase chain reaction (rRT-PCR) testing, but the use of chest computed tomography (CT) has also been indicated as an important tool for detection and management of the disease. Numerous studies reviewed in this paper largely concur in their findings that the early hallmarks of COVID-19 infection are ground-glass opacities (GGOs), often with a bilateral and peripheral lung distribution. In addition, most studies demonstrated similar CT findings related to the progression of the disease, starting with GGOs in early disease, followed by the development of crazy paving in middle stages and finally increasing consolidation in the later stages of the disease. Studies have reported a low rate of misdiagnosis by chest CT, as well as a high rate of misdiagnosis by the rRT-PCR tests. Specifically, chest CT provides more accurate results in the early stages of COVID-19, when it is critical to begin treatment as well as isolate the patient to avoid the spread of the virus. While rRT-PCR will probably remain the definitive final test for COVID-19, until it is more readily available and can consistently provide higher sensitivity, the use of chest CT for early stage detection has proven valuable in avoiding misdiagnosis as well as monitoring the progression of the disease. With the understanding of the role of chest CT, researchers are beginning to apply deep learning and other algorithms to differentiate between COVID-19 and non-COVID-19 CT scans, determine the severity of the disease to guide the course of treatment, and investigate numerous additional COVID-19 applications. Impact statement The impact of the COVID-19 pandemic has been worldwide, and clinicians and researchers around the world have been working to develop effective and efficient methods for early detection as well as monitoring of the disease progression. This minireview compiles the various agency and expert recommendations, along with results from studies published in numerous countries, in an effort to facilitate the research in imaging technology development to benefit the detection and monitoring of COVID-19. To the best of our knowledge, this is the first review paper on the topic, and it provides a brief, yet comprehensive analysis.


2020 ◽  
pp. 030089162094966
Author(s):  
Pietro Gino Barbieri ◽  
Dario Mirabelli

Background: The diagnosis of lung cancer (LC) may be difficult to make in the elderly. We report on the diagnostic elements available in life in an LC necropsy case series of asbestos-exposed workers and describe the frequency of non-neoplastic asbestos-related diseases as biological exposure indices. Methods: We reviewed pathologic and clinical records of an unselected series of autopsies (1997–2016) in patients with LC employed in the Monfalcone shipyards. We assessed the consistency with autopsy results of diagnoses based on, respectively, radiologic, cytologic, and histologic findings. Results: Data on 128 autopsy-confirmed LC cases were available; in life, 119 had been diagnosed as LC. Among these, 49 had histologic confirmation of diagnosis (17 with immunophenotyping); histology had been negative in 4. Cytology had been the main positive finding and the basis for diagnosis in 24 cases, but had been negative in 13. Chest computed tomography had been the basis for diagnosis in 45; in 18 cases, it had been negative. Nine patients had received a diagnosis different from LC, among whom 4 had been suspected to have malignant pleural mesothelioma by chest computed tomography. Pleural plaques were found in 124 and histologic asbestosis in 46 cases. Conclusions: Autopsies confirmed all LC diagnoses received in life, including 46 that would have been considered only possible LC based on clinical workup. The overall survival in this case series was poor. The high prevalence of pleural plaques and asbestosis suggest severity of asbestos exposures.


2020 ◽  
Vol 4 (1) ◽  
pp. 96-98
Author(s):  
Yudai Yano ◽  
Takashi Fujiwara ◽  
Masanobu Mizuta

Endotracheal metastasis, a critical complication of primary lung cancer, is an extremely rare lesion. A 73-year-old woman who had previously received treatment for lung cancer presented to our emergency department with dyspnea. A chest computed tomography and nasopharyngolaryngoscopy showed an endotracheal mass below the epiglottis, obstructing the trachea almost completely. The patient had an emergency tracheostomy, and then the mass was removed via median laryngotomy. This lesion was proven to be a recurrent metastasis of lung cancer. Clinicians should recognize endotracheal metastasis as an important differential diagnosis in cancer patients presenting with respiratory symptoms.


2019 ◽  
Vol 25 (6) ◽  
pp. 954-961 ◽  
Author(s):  
Diego Ardila ◽  
Atilla P. Kiraly ◽  
Sujeeth Bharadwaj ◽  
Bokyung Choi ◽  
Joshua J. Reicher ◽  
...  

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