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Rationale: Pulmonary artery sarcoma (PAS) is a rare malignant tumor primarily originating from the pulmonary artery's intima or subintima. Approximately one-third of cases are classified as undifferentiated type. Its clinical manifestations lack specificity, dyspnea is the main symptom but can also present with chest pain, cough, hemoptysis, and other discomforts, making it prone to misdiagnosis as pulmonary embolism (PE)., Patient Concerns: A 50-year-old woman was admitted to the hospital with "dyspnea for more than 3 months, aggravated for 2 days," and computed tomography pulmonary angiography suggesting "bilateral multiple pulmonary embolisms.", Diagnoses: The patient was initially misdiagnosed as PE, and was later definitively diagnosed as undifferentiated pleomorphic sarcoma of the pulmonary artery by pathologic biopsy., Interventions and Outcomes: The patient was initially treated with anticoagulant therapy, but her dyspnea was not relieved. After that, she underwent positron emission computed tomography (PET-CT) and other investigations, which suggested the possibility of PAS, and then she underwent pulmonary endarterectomy to remove the lesion, which relieved her symptoms and was advised to seek further medical attention from the Department of Oncology and Department of Radiotherapy., Lessons: PAS can be easily misdiagnosed as PE. If a diagnosis of PE is made, but anticoagulation or even thrombolytic therapy proves ineffective, and there is no presence of PE causative factors such as deep vein thrombosis in the lower extremities, or D-dimer levels are not high, one should be cautious and consider the possibility of PAS., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

A 7-year-old Icelandic gelding was presented with acute severe dyspnea of one day duration and purulent nasal discharge that had been present for 6 weeks. Clinically, the initial examination focused on severe enlargement of the mandibular and retropharyngeal lymph nodes as well as a mixed dyspnea.The diagnosis of a malignant lymphoma was evident following laboratory diagnostics, endoscopy, and cytological examination of a fine needle aspiration of a mandibular lymph node. The gelding was euthanized due to the poor prognosis and a significantly disturbed general condition. Pathohistological examination revealed a multicentric T-cell-rich B-cell lymphoma., Competing Interests: Die Autoren bestätigen, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)

Idiopathic obliterative bronchiolitis (OB) is a rare disease that usually requires a surgical lung biopsy. A 25-year-old woman with progressive exertional dyspnea for several months showed a severe mixed restrictive and obstructive pattern on spirometry. Chest computed tomography showed a mosaic pattern, and pulmonary ventilation-perfusion scintigraphy showed a matched defect. The bronchoscopic specimens obtained from both the alveolar and bronchiolar regions of the predicted lesion area contributed to the diagnosis of OB. She had no underlying causes of secondary OB, and she was diagnosed with idiopathic OB. Since lung transplantation was indicated, she was referred to a lung transplantation-certified hospital.

Objective: To analyze the clinical characteristics and prognosis of 6 children with idiopathic interstitial pneumonia (IIP). Methods: This retrospective study analyzed the clinical manifestations, examinations, treatment and prognosis of 6 children with IIP who were hospitalized in Children's Hospital of Nanjing Medical University from January 2015 to March 2020. Results: Of the 6 children, 2 were males and 4 were females, aged 4.8 to10.6 years. All children had a subacute onset, and presented with cough, shortness of breath and cyanosis. The lung high-resolution CT (HRCT) showed diffuse patchiness in bilateral lung fields in all the children and reticular pattern in 2 cases. Pulmonary function test found moderate to severe mixed defect in 5 children. Lung biopsy was performed in 4 children. All of the 6 children were treated with systemic glucocorticoids, of whom 2 cases had additional inhaled glucocorticoids. Four children were finally diagnosed as cryptogenic organizing pneumonia (COP), whose lung HRCT return to normal in 1-11 months. Two children were finally diagnosed as nonspecific interstitial pneumonia (NSIP), and had long-term residual fibrosis on lung HRCT. The 6 children were followed up for 1 year to 6 years and 5 months after discontinuation of systemic glucocorticoids, and all had no recurrence. Conclusions: The clinical characteristics of IIP in children are subacute onset presented with cough, shortness of breath, cyanosis and diffuse patchiness in bilateral lungs on HRCT. The common subtypes of IIP in children are COP and NSIP. Systemic glucocorticoid is effective for IIP in children and there is a good prognosis overall.

Primary adenoid cystic carcinoma (ACC) of the trachea is a rare entity, with a 5-year survival between 50% and 80% for resectable cases and 30% in case of unresectable disease. We report a case of a primary ACC on a woman in her 70s that presented with a drawn-out history of dyspnoea. She was diagnosed with an unresectable obstructive tumour of the trachea, which required the placement of a Y-shaped stent. The patient underwent concomitant chemoradiotherapy, with partial response, and is still in follow-up, without evidence of disease progression., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2022. No commercial re-use. See rights and permissions. Published by BMJ.)

Importance: When hospitals are at capacity, accurate deterioration indices could help identify low-risk patients as potential candidates for home care programs and alleviate hospital strain. To date, many existing deterioration indices are based entirely on structured data from the electronic health record (EHR) and ignore potentially useful information from other sources., Objective: To improve the accuracy of existing deterioration indices by incorporating unstructured imaging data from chest radiographs., Design, Setting, and Participants: Machine learning models were trained to predict deterioration of patients hospitalized with acute dyspnea using existing deterioration index scores and chest radiographs. Models were trained on hospitalized patients without coronavirus disease 2019 (COVID-19) and then subsequently tested on patients with COVID-19 between January 2020 and December 2020 at a single tertiary care center who had at least one radiograph taken within 48 hours of hospital admission., Main Outcomes and Measures: Patient deterioration was defined as the need for invasive or non-invasive mechanical ventilation, heated high flow nasal cannula, IV vasopressor administration or in-hospital mortality at any time following admission. The EPIC deterioration index was augmented with unstructured data from chest radiographs to predict risk of deterioration. We compared discriminative performance of the models with and without incorporating chest radiographs using area under the receiver operating curve (AUROC), focusing on comparing the fraction and total patients identified as low risk at different negative predictive values (NPV)., Results: Data from 6278 hospitalizations were analyzed, including 5562 hospitalizations without COVID-19 (training cohort) and 716 with COVID-19 (216 in validation, 500 in held-out test cohort). At a NPV of 0.95, the best-performing image-augmented deterioration index identified 49 more (9.8%) individuals as low-risk compared to the deterioration index based on clinical data alone in the first 48 hours of admission. At a NPV of 0.9, the EPIC image-augmented deterioration index identified 26 more individuals (5.2%) as low-risk compared to the deterioration index based on clinical data alone in the first 48 hours of admission., Conclusion and Relevance: Augmenting existing deterioration indices with chest radiographs results in better identification of low-risk patients. The model augmentation strategy could be used in the future to incorporate other forms of unstructured data into existing disease models., Competing Interests: The authors have declared that no competing interests exist.