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Background: Ultrasound lung surface motion measurement is valuable for the evaluation of a variety of diseases. Speckle tracking or Doppler-based techniques are limited by the loss of visualization as a tracked point moves under ribs or is dependent.

Methods: We developed a synthetic lateral phase-based algorithm for tracking lung motion to overcome these limitations.

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Longitudinal MRI evaluation of the efficacy of non-enhanced lung cancer brain metastases.

Sci Rep

January 2025

Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei, China.

Brain metastases (BM) are the most prevalent intracranial malignancies. Approximately 30-40% of cancer patients develop BM at some stage of their illness, presenting with a high incidence and poor prognosis. Our clinical findings indicate a significant disparity in the efficacy between non-enhanced and enhanced lung cancer BM.

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Medical image annotation is scarce and costly. Few-shot segmentation has been widely used in medical image from only a few annotated examples. However, its research on lesion segmentation for lung diseases is still limited, especially for pulmonary aspergillosis.

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To establish and validate a nomogram based on clinical characteristics and metabolic parameters derived from F-fluorodeoxyglucose positron emission tomography and computed tomography (F-FDG PET/CT) for prediction of high-grade patterns (HGP) in invasive lung adenocarcinoma. The clinical and PET/CT image data of 311 patients who were confirmed invasive lung adenocarcinoma and underwent pre-treatment F-FDG PET/CT scan in Beijing Hospital between October 2017 and March 2022 were retrospectively collected. The enrolled patients were divided into HGP group (196 patients) and non-HGP group (115 patients) according to the presence and absence of HGP.

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Introduction: Lung cancer screening (LCS) using low-dose-computed tomography reduces lung cancer mortality in high-risk individuals. Evaluating and monitoring LCS programs are important to ensure and improve quality, efficiency and participant outcomes. There is no agreement on LCS quality indicators (QIs).

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