scholarly journals Brief Report: New Pulmonary Infiltrates Observed on Computed Tomography Based Image Guidance for Radiotherapy Warrant Diagnostic Workup for COVID-19.

Author(s):  
Graham W. Warren ◽  
Vun-Sin Lim ◽  
Mudit Chowdhary ◽  
Gaurav Marwaha ◽  
Osama Mostafa Abd Elbadee ◽  
...  
2017 ◽  
Vol 35 (7) ◽  
pp. 705-708 ◽  
Author(s):  
Charles A. Powell

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors’ suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice. A 60-year-old former smoker with metastatic melanoma presented with the chief complaint of pulmonary infiltrates. Five years ago, he was diagnosed with a left chest wall melanoma. He underwent surgery but received no additional therapy for an American Joint Committee on Cancer stage T3a N0 M0 tumor that was 2.7 mm in depth with no ulceration of the epidermal surface. Resection margins were free of tumor. Four years later, he underwent excision of a raised pigmented skin lesion on his left calf that proved to be melanoma with positive margins. He underwent re-excision of melanoma but 2 months later developed a new left hip soft tissue nodule. Positron emission tomography (PET) –computed tomography showed multiple hypermetabolic lesions involving subcutaneous tissue, muscle osseous structures, and bone marrow, consistent with advanced melanoma. He began systemic therapy with ipilimumab and nivolumab. After four cycles of immunotherapy, he developed a nonproductive cough and mild dyspnea on exertion (Modified Medical Research Council dyspnea scale score of 2 [ie, he had to stop for breath when walking at his own pace on level ground]). A chest x-ray showed bilateral hilar enlargement, thickening of the right paratracheal stripe, and scattered patchy increased interstitial markings bilaterally. PET and chest computed tomography images showed enlarged mediastinal adenopathy with increased [18F]fluorodeoxyglucose uptake on PET and scattered diffuse 1- to 2-mm pulmonary nodules with ground-glass opacities ( Fig 1 ). The patient was referred for pulmonary input. The patient had smoked one pack of cigarettes per day for 35 years; he quit 6 years ago. He had no history of pneumonia, childhood asthma, or tuberculosis. His mother had asthma, but there was no other family history of asthma or other lung disease.


2020 ◽  
Vol 148 (2) ◽  
pp. 273-279
Author(s):  
Danushka S. Seneviratne ◽  
Austin R. Hadley ◽  
Jennifer L. Peterson ◽  
Timothy D. Malouff ◽  
Ronald Reimer ◽  
...  

2016 ◽  
Vol 45 (12) ◽  
pp. 1669-1676 ◽  
Author(s):  
Anna Maria Ierardi ◽  
Filippo Piacentino ◽  
Francesca Giorlando ◽  
Alberto Magenta Biasina ◽  
Alessandro Bacuzzi ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0126152 ◽  
Author(s):  
Takeshi Kamomae ◽  
Hajime Monzen ◽  
Shinichi Nakayama ◽  
Rika Mizote ◽  
Yuuichi Oonishi ◽  
...  

2017 ◽  
Vol 25 (2) ◽  
pp. 123-130 ◽  
Author(s):  
Masaaki Sato ◽  
Kazuhiro Nagayama ◽  
Hideki Kuwano ◽  
Jun-ichi Nitadori ◽  
Masaki Anraku ◽  
...  

Background Virtual-assisted lung mapping is a novel bronchoscopic preoperative lung marking technique in which virtual bronchoscopy is used to predict the locations of multiple dye markings. Post-mapping computed tomography is performed to confirm the locations of the actual markings. This study aimed to examine the accuracy of marking locations predicted by virtual bronchoscopy and elucidate the role of post-mapping computed tomography. Methods Automated and manual virtual bronchoscopy was used to predict marking locations. After bronchoscopic dye marking under local anesthesia, computed tomography was performed to confirm the actual marking locations before surgery. Discrepancies between marking locations predicted by the different methods and the actual markings were examined on computed tomography images. Forty-three markings in 11 patients were analyzed. Results The average difference between the predicted and actual marking locations was 30 mm. There was no significant difference between the latest version of the automated virtual bronchoscopy system (30.7 ± 17.2 mm) and manual virtual bronchoscopy (29.8 ± 19.1 mm). The difference was significantly greater in the upper vs. lower lobes (37.1 ± 20.1 vs. 23.0 ± 6.8 mm, for automated virtual bronchoscopy; p < 0.01). Despite this discrepancy, all targeted lesions were successfully resected using 3-dimensional image guidance based on post-mapping computed tomography reflecting the actual marking locations. Conclusions Markings predicted by virtual bronchoscopy were dislocated from the actual markings by an average of 3 cm. However, surgery was accurately performed using post-mapping computed tomography guidance, demonstrating the indispensable role of post-mapping computed tomography in virtual-assisted lung mapping.


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