| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Rungrote Osathanon, Christopher R Lamb, David B Churc. Associations between respiratory signs, thoracic CT findings and results of tracheobronchoscopy and bronchoalveolar lavage in dogs. The Veterinary record. 2022-01-29. PMID:35092696. |
associations between respiratory signs, thoracic ct findings and results of tracheobronchoscopy and bronchoalveolar lavage in dogs. |
2022-01-29 |
2023-08-13 |
Not clear |
| Onur Ural, Hatice Esranur Kıratlı, Şua Sümer, Nazlım Aktuğ Demir, Sema Yılmaz Kırık, Hüsamettin Vatansev, Fikret Akyürek, Hakan Cebeci, Uğur Arslan, Lütfi Saltuk Demi. [Evaluation of Annexin-1 (ANXA-1), Annexin-2 (ANXA-2) and Bone Morphogenetic Protein-7 (BMP-7) Serum Levels in Patients Followed Up With A Diagnosis of COVID-19]. Mikrobiyoloji bulteni. vol 56. issue 1. 2022-01-28. PMID:35088957. |
patients were primarily divided into two groups based on the presence of typical lung involvement (ground glass opacities, consolidation, and both) in the thoracic computed tomography (ct) scans for covid-19. |
2022-01-28 |
2023-08-13 |
Not clear |
| Onur Ural, Hatice Esranur Kıratlı, Şua Sümer, Nazlım Aktuğ Demir, Sema Yılmaz Kırık, Hüsamettin Vatansev, Fikret Akyürek, Hakan Cebeci, Uğur Arslan, Lütfi Saltuk Demi. [Evaluation of Annexin-1 (ANXA-1), Annexin-2 (ANXA-2) and Bone Morphogenetic Protein-7 (BMP-7) Serum Levels in Patients Followed Up With A Diagnosis of COVID-19]. Mikrobiyoloji bulteni. vol 56. issue 1. 2022-01-28. PMID:35088957. |
those who found to have involvement in thoracic ct scans were divided into three groups as mild (< 33%), moderate (34-66%), and severe (> 67%) according to the extent of their lesions. |
2022-01-28 |
2023-08-13 |
Not clear |
| Onur Ural, Hatice Esranur Kıratlı, Şua Sümer, Nazlım Aktuğ Demir, Sema Yılmaz Kırık, Hüsamettin Vatansev, Fikret Akyürek, Hakan Cebeci, Uğur Arslan, Lütfi Saltuk Demi. [Evaluation of Annexin-1 (ANXA-1), Annexin-2 (ANXA-2) and Bone Morphogenetic Protein-7 (BMP-7) Serum Levels in Patients Followed Up With A Diagnosis of COVID-19]. Mikrobiyoloji bulteni. vol 56. issue 1. 2022-01-28. PMID:35088957. |
of the 173 patients included in the study, 130 had typical thoracic ct involvement for covid-19, while 43 did not. |
2022-01-28 |
2023-08-13 |
Not clear |
| Onur Ural, Hatice Esranur Kıratlı, Şua Sümer, Nazlım Aktuğ Demir, Sema Yılmaz Kırık, Hüsamettin Vatansev, Fikret Akyürek, Hakan Cebeci, Uğur Arslan, Lütfi Saltuk Demi. [Evaluation of Annexin-1 (ANXA-1), Annexin-2 (ANXA-2) and Bone Morphogenetic Protein-7 (BMP-7) Serum Levels in Patients Followed Up With A Diagnosis of COVID-19]. Mikrobiyoloji bulteni. vol 56. issue 1. 2022-01-28. PMID:35088957. |
anxa-2 levels were higher in patients with thoracic ct involvement than those without thoracic ct involvement (p= 0.023). |
2022-01-28 |
2023-08-13 |
Not clear |
| Simone Saitta, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M Marrocco-Trischitta, Alberto Redaell. A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. Journal of digital imaging. 2022-01-27. PMID:35083618. |
feasibility assessment and planning of thoracic endovascular aortic repair (tevar) require computed tomography (ct)-based analysis of geometric aortic features to identify adequate landing zones (lzs) for endograft deployment. |
2022-01-27 |
2023-08-13 |
Not clear |
| Simone Saitta, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M Marrocco-Trischitta, Alberto Redaell. A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. Journal of digital imaging. 2022-01-27. PMID:35083618. |
we trained and applied a fully automated pipeline embedding a convolutional neural network (cnn), which feeds on 3d ct images to automatically segment the thoracic aorta, detects proximal landing zones (plzs), and quantifies geometric features that are relevant for tevar planning. |
2022-01-27 |
2023-08-13 |
Not clear |
| Simone Saitta, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M Marrocco-Trischitta, Alberto Redaell. A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. Journal of digital imaging. 2022-01-27. PMID:35083618. |
for 465 ct scans, the thoracic aorta and pulmonary arteries were manually segmented; 395 randomly selected scans with the corresponding ground truth segmentations were used to train a cnn with a 3d u-net architecture. |
2022-01-27 |
2023-08-13 |
Not clear |
| Zhuxing Chen, Yudong Zhang, Zeping Yan, Junguo Dong, Weipeng Cai, Yongfu Ma, Jipeng Jiang, Keyao Dai, Hengrui Liang, Jianxing H. Artificial intelligence assisted display in thoracic surgery: development and possibilities. Journal of thoracic disease. vol 13. issue 12. 2022-01-24. PMID:35070382. |
with the advance of ai-assisted display technologies, including 3d reconstruction/3d printing, virtual reality (vr), augmented reality (ar), and mixed reality (mr), computer tomography (ct) imaging in thoracic surgery has been fully utilized for transforming 2d images to 3d model, which facilitates surgical teaching, planning, and simulation. |
2022-01-24 |
2023-08-13 |
Not clear |
| Zhuxing Chen, Yudong Zhang, Zeping Yan, Junguo Dong, Weipeng Cai, Yongfu Ma, Jipeng Jiang, Keyao Dai, Hengrui Liang, Jianxing H. Artificial intelligence assisted display in thoracic surgery: development and possibilities. Journal of thoracic disease. vol 13. issue 12. 2022-01-24. PMID:35070382. |
in this review, we illustrated the current ai-assisted display applications based on ct in thoracic surgery; focused on the emerging ai applications in thoracic surgery based on surgical videos by reviewing its relevant researches in other surgical fields and anticipate its potential development in thoracic surgery. |
2022-01-24 |
2023-08-13 |
Not clear |
| Chunji Chen, Raja Flores, Biniam Kidane, Masatsugu Hamaji, Xufeng Gu. Application of low anterior mediastinal tracheostomy for locally advanced cervicothoracic esophageal cancer undergoing total laryngopharyngoesophagectomy: a case report. Journal of gastrointestinal oncology. vol 12. issue 6. 2022-01-24. PMID:35070433. |
chest computed tomography (ct) showed that the cervical esophageal wall became thicker, the narrowing of the lumen extended downwards to the upper thoracic esophagus. |
2022-01-24 |
2023-08-13 |
Not clear |
| Brannan E O'Neill, Nasser K Yaghi, Maryam N Shahin, Olabisi R Sanusi, Justin S Cetas, Aclan Doga. Cerebrospinal Fluid Hypovolemia: A Case Report of a Red Herring. Asian journal of neurosurgery. vol 16. issue 4. 2022-01-24. PMID:35071098. |
a ct myelogram revealed a csf leak from her recent thoracic surgery. |
2022-01-24 |
2023-08-13 |
Not clear |
| Yu-Sen Huang, Emi Niisato, Mao-Yuan Marine Su, Thomas Benkert, Ning Chien, Pin-Yi Chiang, Wen-Jeng Lee, Jin-Shing Chen, Yeun-Chung Chan. Applying Compressed Sensing Volumetric Interpolated Breath-Hold Examination and Spiral Ultrashort Echo Time Sequences for Lung Nodule Detection in MRI. Diagnostics (Basel, Switzerland). vol 12. issue 1. 2022-01-21. PMID:35054260. |
each patient underwent non-contrast chest ct and non-contrast mri on the same day prior to thoracic surgery. |
2022-01-21 |
2023-08-13 |
Not clear |
| Renata Komsta, Anna Łojszczyk, Piotr Dębiak, Piotr Twardowski, Barbara Lisia. Computed tomographic evaluation of pectus excavatum in 14 cats. PloS one. vol 17. issue 1. 2022-01-21. PMID:35061860. |
the main benefit of ct examination is its ability to reveal asymmetric pe, thoracic asymmetry and sternal torsion. |
2022-01-21 |
2023-08-13 |
Not clear |
| Andra-Iza Iuga, Lenhard Pennig, Liliana Lourenco Caldeira, David Maintz, Tilman Hickethier, Jonas Doerne. Prediction of anemia on enhanced computed tomography of the thorax using virtual non-contrast reconstructions. Medicine. vol 100. issue 48. 2022-01-20. PMID:35049212. |
attenuation was measured in the descending thoracic aorta, the intraventricular septum, and the left ventricle cavity both in the conventional contrast-enhanced and in the vnc images.two experienced radiologists annotated the delineation of a dense interventricular septum or a hyperattenuating aortic wall sign for all patients.hemoglobin levels were then correlated with the measured attenuation values, as well as the visualization of the aortic wall or interventricular septum.good correlation was shown between hemoglobin levels and ct attenuation values of the left ventricular cavity (r = .59), aorta (r = .56), and ratio between left ventricular cavity and the intraventricular septum (r = .57). |
2022-01-20 |
2023-08-13 |
Not clear |
| Sean-Tee J M Lim, Stephen Murphy, Said Atyani, Michael Anthony Molone. Thoracic Endovascular Aortic Repair for a Ruptured Mycotic Aortic Pseudoaneurysm Secondary to Esophageal Carcinoma. Case reports in vascular medicine. vol 2022. 2022-01-17. PMID:35036021. |
contrast ct thoracic aorta diagnosed a ruptured mycotic aortic pseudoaneurysm of the descending aorta, forming a life threating aorto-esophageal fistula secondary to neoplasm. |
2022-01-17 |
2023-08-13 |
Not clear |
| Seenia Francis, P B Jayaraj, P N Pournami, Manu Thomas, Ajay Thoomkuzhy Jose, Allen John Binu, Niyas Puzhakka. ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Physical and engineering sciences in medicine. 2022-01-14. PMID:35029804. |
thoraxnet: a 3d u-net based two-stage framework for oar segmentation on thoracic ct images. |
2022-01-14 |
2023-08-13 |
human |
| Seenia Francis, P B Jayaraj, P N Pournami, Manu Thomas, Ajay Thoomkuzhy Jose, Allen John Binu, Niyas Puzhakka. ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Physical and engineering sciences in medicine. 2022-01-14. PMID:35029804. |
this paper proposes a two-stage deep learning-based segmentation model with an attention mechanism that automatically delineates oars in thoracic ct images. |
2022-01-14 |
2023-08-13 |
human |
| Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Megumi Nakao, Masashi Iwakura, Tamaki Motoki, Tetsuya Matsuda, Hiroshi Dat. Creation of a video library for education and virtual simulation of anatomical lung resection. Interactive cardiovascular and thoracic surgery. 2022-01-12. PMID:35018431. |
recently, preoperative and intraoperative simulation using three-dimensional computed tomography (ct) has attracted much attention in thoracic surgery. |
2022-01-12 |
2023-08-13 |
Not clear |
| Fan-Ya Lin, Yeun-Chung Chang, Hsuan-Yu Huang, Chia-Chen Li, Yi-Chang Chen, Chung-Ming Che. A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation. European radiology. 2022-01-12. PMID:35020016. |
a radiomics approach for lung nodule detection in thoracic ct images based on the dynamic patterns of morphological variation. |
2022-01-12 |
2023-08-13 |
Not clear |