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  1. 2281
    “…PURPOSE: To evaluate the value of follow-up chest CT in the surveillance of HCC patients. BACKGROUND: Imaging guidelines for the surveillance of hepatocellular carcinoma (HCC) patients recommend multiple follow-up computed tomography (CT) examinations of the chest, abdomen, and pelvis. …”
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    Value of Follow-Up Chest Computed Tomography in the Surveillance of Patients with Hepatocellular Carcinoma
  2. 2282
    “…RESULTS: A total of 1203 chest radiographs of 175 patients (120 males; mean age 67.81±15.5 years old) were examined. …”
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    Validation of a composed COVID-19 chest radiography score: the CARE project
  3. 2283
    “…The surgical indication for the chest tube thoracostomy was tension pneumothorax in all six patents. …”
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    Protective measures undertaken during chest tube thoracostomy in COVID-19 outbreak
  4. 2284
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    Chest imaging representing a COVID-19 positive rural U.S. population
  5. 2285
    “…OBJECTIVE: To study non-enhanced computer tomographic features of chest imaging in 302 patients with Corona Virus Disease 2019 (COVID-19) in Jordan. …”
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    Chest CT scan features from 302 patients with COVID-19 in Jordan
  6. 2286
    “…He denied having been to Wuhan. Chest CT also showed typical features of COVID-19 pneumonia. …”
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    Combination of chest CT and clinical features for diagnosis of 2019 novel coronavirus pneumonia
  7. 2287
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    Double Incision Mastectomy with Free Nipple Graft for Masculinizing Chest Wall Surgery
  8. 2288
    “…CONCLUSIONS: The MCID for thoracentesis-related chest discomfort measured by 100 mm VAS is 16 mm. …”
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    Minimal clinically important difference for chest discomfort in patients undergoing pleural interventions
  9. 2289
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    Longitudinal assessment of chest computerized tomography and oxygen saturation for patients with COVID-19
  10. 2290
    “…Her electrocardiogram (EKG) was unremarkable but the chest X-ray revealed a large retrocardiac hernia. …”
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    Chest Pain: A Relatively Benign Symptom of Type IV Hiatal Hernia
  11. 2291
    “…BACKGROUND: The aim of this meta-analysis was to evaluate the diagnostic value of lung ultrasound (LUS) in comparison to chest radiography (CXR) in children with pneumonia. …”
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    Lung ultrasound vs chest radiography in the diagnosis of children pneumonia: Systematic evidence
  12. 2292
    “…The objective of this study was to evaluate the ability of patients who presented to the ED with chest pain and fell into the low risk category based on their HEART Score to receive adequate outpatient follow-up for their chest pain. …”
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    Utilizing PDSA Cycle in Implementing a Chest Pain Accelerated Diagnostic Protocol
  13. 2293
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    Acute chest syndrome and COVID-19 in sickle cell disease pediatric patients
  14. 2294
    “…OBJECTIVE: To develop and test computer software to detect, quantify, and monitor progression of pneumonia associated with COVID-19 using chest CT scans. METHODS: One hundred twenty chest CT scans from subjects with lung infiltrates were used for training deep learning algorithms to segment lung regions and vessels. …”
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    Automated quantification of COVID-19 severity and progression using chest CT images
  15. 2295
    “…Among 30 patients remaining pulseless after sCPR (median 6.9 [5.3–11.0] minutes), transition to mCPR occurred with a median chest compression interruption of 7 (5–13) seconds. …”
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    Metrics of mechanical chest compression device use in out‐of‐hospital cardiac arrest
  16. 2296
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    A case of post-inflammatory warty dyskeratoma of the chest: Other dermoscopic features
  17. 2297
    “…Chest wall mass in infancy is rare. Malignant lesions are more common than infection or benign tumors. …”
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    Chest Wall Mass in Infancy: The Presentation of Bone-Tumor-Like BCG Osteitis
  18. 2298
    “…The ease of its propagation, coupled with its high capacity for illness and death in infected individuals, makes it a hazard to the community. Chest X-rays are one of the most common but most difficult to interpret radiographic examination for early diagnosis of coronavirus-related infections. …”
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    Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images
  19. 2299
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    High-risk chest radiographic features associated with COVID-19 disease severity
  20. 2300
    “…OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)–positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. …”
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    Artificial Intelligence–assisted chest X-ray assessment scheme for COVID-19
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