Congenital cystic lung lesions are rare. Mainly affects the lower respiratory patishta.i are congenital cystic malformation and adematozna bronchopulmonary sequestration (BPS). The pathogenesis of the occurrence of these malformations is not clear but they have a common clinical course. In most cases, the anomaly is asymptomatic and occurs with infections of the lung during the first year of life. Currently congenital lung lesions were classified into five types and is considered by most authors. The anomaly is due to the abnormal proliferation of terminal bronchioles accompanied by inhibition of alveolar development between 7-17 weeks, obstructed airway dysplasia and metaplasia of normal lung tissue. Early diagnosis is vital in making a medical decision on how to treat CCAM. Associated with abnormalities of the urinary tract, cardiovascular system, gastrointestinal atresia, diaphragmatic hernia skeletal abnormalities. In pregnancies in which prenatal lung lesions weighs registered necessary series of ultrasound examinations to track finding and using the Doppler to assess how the blood supply of the fault. The clinical presentation of malformations is respiratory distress, respiratory infection, and dyspnea. The use of CT and MRA allows better visualization of the pulmonary lesions. With its combination with arteriography and bronchoscopy are used to differentiate CCAM and pulmonary sequestration. We present three cases with lung lesions were born in Neonatologia clinic at the University Hospital of Obstetrics and Gynecology "Maternity" Sofia for the period 2010-2012 three cases CCAMs type 1, operated by 5 meters after birth with a good final outcome without complications in the postoperative period and lack of pulmonary symptoms up to 1 year after birth.
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J Thorac Imaging
September 2024
School of Computer Science and Engineering, The Hebrew University of Jerusalem.
Purpose: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for the automatic analysis of metastatic lung lesions and their temporal changes in pairs of chest CT scans.
Materials And Methods: SimU-Net is a simultaneous multichannel 3D U-Net model trained on pairs of registered prior and current scans of a patient.
Med Phys
January 2025
Center for Virtual Imaging Trial, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Background: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction.
Purpose: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of simulated CT projection images of a population of human models with various diseases.
Methods: Two hundred unique anthropomorphic, computational models were created with varied diseases consisting of 67 emphysema, 67 lung lesions, and 66 liver lesions.
IDCases
December 2024
Department of Cardiac and Thoracic Surgery, The Military Hospital of Instruction of Tunis, Tunisia.
Hydatid disease is endemic in Tunisia. Whereas uncomplicated pulmonary hydatid cysts are easily diagnosed on radiological findings, complicated and atypical forms may be misdiagnosed and confused with other pulmonary lesions, mainly lung malignancies. We report a case of a 47-year-old woman, who presented with a 3-month history of hemoptysis.
View Article and Find Full Text PDFVet Res
January 2025
Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Cranioventral pulmonary consolidation (CVPC) is a common lesion observed in the lungs of slaughtered pigs, often associated with Mycoplasma (M.) hyopneumoniae infection. There is a need to implement simple, fast, and valid CVPC scoring methods.
View Article and Find Full Text PDFJ Pathol
January 2025
Department of Clinical Bio-resource Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Spread through air spaces (STAS) is a histological finding of lung tumours where tumour cells exist within the air space of the lung parenchyma beyond the margin of the main tumour. Although STAS is an important prognostic factor, the pathobiology of STAS remains unclear. Here, we investigated the mechanism of STAS by analysing the relationship between STAS and polarity switching in vivo and in vitro.
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