| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Song Li, Nandong Hu, Zicheng Wei, Jiangchuan Wang, Rongzhou Wang, Xifa Gao, Yingping Qiu, Xiao Che. Assessing Thoracic Vertebral Bone Mineral Density (T8-T10) for Osteoporosis Diagnosis During CT Lung Cancer Screening in Older Adults. International journal of general medicine. vol 17. 2024-08-12. PMID:39130490. |
this study investigated the utility of thoracic bmd (bmd-t8-t10) for detecting osteoporosis in older persons during ct lung cancer screening. |
2024-08-12 |
2024-08-14 |
Not clear |
| Naoko Mori, Shunji Mugikur. Ai-based algorithm for measurement of the thoracic aortic diameter in low-dose chest CT: Prospects from cross-sectional to longitudinal assessment. European journal of radiology. vol 179. 2024-08-10. PMID:39126915. |
ai-based algorithm for measurement of the thoracic aortic diameter in low-dose chest ct: prospects from cross-sectional to longitudinal assessment. |
2024-08-10 |
2024-08-13 |
Not clear |
| Yusuke Inoue, Hiroyasu Itoh, Koji Koizumi, Saori Sekimoto, Hirofumi Hata, Hiroki Miyatake, Takuro Yamane, Kohei Mitsu. Effects of organ dose modulation applied to a part of the scan range on radiation dose in computed tomography of the body. Journal of radiological protection : official journal of the Society for Radiological Protection. 2024-08-09. PMID:39121874. |
the absolute reduction in dose-length product was larger for thoraco-abdominopelvic ct (male, 43.2 mgy∙cm; female, 59.7 mgy∙cm) than for thoracic ct (male, 30.8 mgy∙cm; female, 37.6 mgy∙cm) in both sexes, indicating dose reduction in the abdominopelvic region to which odm was not applied. |
2024-08-09 |
2024-08-13 |
Not clear |
| Kemal Bugra Memis, Hasan Bulut, Hasibe Gokce Cinar, Berna Ucan, Cigdem Uner, Ozkan Kaya, Sonay Aydi. Evaluation of coeliac trunk and hepatic artery variations in thoracic CT angiography in patients with congenital heart disease. Anales de pediatria. 2024-08-07. PMID:39112132. |
evaluation of coeliac trunk and hepatic artery variations in thoracic ct angiography in patients with congenital heart disease. |
2024-08-07 |
2024-08-10 |
Not clear |
| Nadia A du Fossé, Willem Grootjans, Ana Navas, Natasha M Appelman-Dijkstra, Carlos V Elzo Kraemer, David J van Westerloo, Evert de Jong. Exploring bone density analysis on routine CT scans as a tool for opportunistic osteoporosis screening. Scientific reports. vol 14. issue 1. 2024-08-07. PMID:39112689. |
the primary aim of this study was to evaluate computed tomography (ct)-based bone density analysis at the level of thoracic vertebra 12 (th12) as a screening method for decreased bone density in patients admitted to the intensive care unit (icu). |
2024-08-07 |
2024-08-10 |
Not clear |
| Anna K Thyen, Alexandra H Riggs, Jiwoong Her, Page E Yaxle. Successful resolution of a continuous pneumothorax using canine xeno-blood patch pleurodesis in a cat. JFMS open reports. vol 10. issue 2. 2024-08-02. PMID:39091488. |
a thoracic ct scan did not reveal a cause for the pneumothorax; therefore, it was suspected to have occurred secondarily to an iatrogenic laceration of the parenchyma during thoracocentesis. |
2024-08-02 |
2024-08-05 |
cat |
| Zeynep Ayvat Öcal, Fatoş Dilan Köseoğl. Prediction of anemia with thoracic computed tomography findings. Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES. vol 30. issue 8. 2024-08-02. PMID:39092967. |
this study explored the potential of non-contrast thoracic computed tomography (ct) to predict anemia by correlating ct parameters with hemoglobin (hb) levels in patients who underwent non-contrast thoracic ct for various indications. |
2024-08-02 |
2024-08-05 |
Not clear |
| Rayeh K Al-Ghetaa, Mostafa Alabousi, John J You, Peter C Emary, John J Riva, John Dufton, Yoan K Kagoma, Raja Rampersaud, Michael J Goytan, Thomas E Feasby, Martin Reed, Jason W Buss. Temporal Trends in Spinal Imaging in Ontario (2002-2019) and Manitoba (2001-2011), Canada. Cureus. vol 16. issue 6. 2024-07-29. PMID:39070358. |
methods we explored the use of x-ray, computed tomography (ct), and magnetic resonance imaging (mri) examinations of the cervical, thoracic, and lumbar spine regions among adults in ontario (april 1, 2002, to march 31, 2019) and in manitoba, canada (april 1, 2001, to march 31, 2011) using linked ontario health insurance plan administrative databases and data from manitoba health. |
2024-07-29 |
2024-08-02 |
Not clear |
| Insung Choi, Juwhan Choi, Hwan Seok Yong, Zepa Yan. Deep learning-based respiratory muscle segmentation as a potential imaging biomarker for respiratory function assessment. PloS one. vol 19. issue 7. 2024-07-27. PMID:39058719. |
with a dataset of approximately 600,000 thoracic ct images from 3,200 individuals, we trained the model using the attention u-net architecture, optimized for detailed and focused segmentation. |
2024-07-27 |
2024-07-29 |
Not clear |
| Zhenyu Zhong, Moliang Xiong, Liang Deng, Jihuan Zeng, Gangtong Ai, Qiang Xia. CT anatomical study of extreme lateral interbody fusion in thoracic spine. Medicine. vol 103. issue 30. 2024-07-27. PMID:39058888. |
ct anatomical study of extreme lateral interbody fusion in thoracic spine. |
2024-07-27 |
2024-07-29 |
Not clear |
| Zhenyu Zhong, Moliang Xiong, Liang Deng, Jihuan Zeng, Gangtong Ai, Qiang Xia. CT anatomical study of extreme lateral interbody fusion in thoracic spine. Medicine. vol 103. issue 30. 2024-07-27. PMID:39058888. |
in this study, we selected ct images of the thoracic spine from 54 patients and divided the intervertebral spaces into six regions (a, i, ii, iii, iv, p) using the moro method. |
2024-07-27 |
2024-07-29 |
Not clear |
| Aneesha Baral, Simone Lee, Farah Hussaini, Brianna Matthew, Alfredo Lebron, Muyang Wang, Li-Yueh Hsu, Joel Moss, Han We. Clinical Trial Validation of Automated Segmentation and Scoring of Pulmonary Cysts in Thoracic CT Scans. Diagnostics (Basel, Switzerland). vol 14. issue 14. 2024-07-27. PMID:39061666. |
clinical trial validation of automated segmentation and scoring of pulmonary cysts in thoracic ct scans. |
2024-07-27 |
2024-07-29 |
human |
| David Drummond, Fabienne Marquant, Elisa Zanelli, Cécile Lozach, Nathalie Boddaert, Rola Abou Taam, Bénédicte Neven, Muriel Le Bourgeois, Alice Hadchouel, Sabine Sarnacki, Caroline Elie, Christophe Delacourt, Laureline Berteloo. Radiation-free and injection-free imaging of the paediatric chest using a magnetic resonance imaging protocol including zero time echo sequence (3D-ZTE). European journal of pediatrics. 2024-07-27. PMID:39066822. |
computed tomography (ct) is commonly used for paediatric thoracic diseases but involves radiation exposure and often requires intravenous contrast. |
2024-07-27 |
2024-08-02 |
Not clear |
| A Gislard, C Gramond, B Clin, C Paris, F Delva, P Brochard, F Laurent, J Benoist, P Andujar, C Chouaïd, I Thaon, L Boudet, J C Pairo. [Compensation of occupational diseases during monitoring of the ARDCO cohort]. Revue des maladies respiratoires. 2024-07-26. PMID:39060158. |
monitoring of the french multicenter asbestos-related disease cohort (ardco), which ensures post-occupational medical surveillance of subjects having been exposed to asbestos, provides information on (1) the medico-legal steps taken following screening by computed tomography (ct) for benign thoracic diseases, and (2) recognition of od as a causal factor in malignant diseases. |
2024-07-26 |
2024-07-29 |
human |
| Dilber Uzun Ozsahin, Abubakar Adamu, Maryam Rabiu Aliyu, Huzaifa Uma. A modified Tseng algorithm approach to restoring thoracic diseases' computerized tomography images. PloS one. vol 19. issue 7. 2024-07-25. PMID:39046956. |
in this study, we restored various thoracic diseases' computerized tomography (ct) images, which were degraded with a known blur function and additive noise, using a modified tseng algorithm. |
2024-07-25 |
2024-07-28 |
Not clear |
| J Peter Marquardt, P Erik Tonnesen, Nathaniel D Mercaldo, Alexander Graur, Brett Allaire, Mary L Bouxsein, Elizabeth J Samelson, Douglas P Kiel, Florian J Fintelman. Subcutaneous and Visceral Adipose Tissue Reference Values From the Framingham Heart Study Thoracic and Abdominal CT. Investigative radiology. 2024-07-24. PMID:39047288. |
subcutaneous and visceral adipose tissue reference values from the framingham heart study thoracic and abdominal ct. computed tomography (ct) captures the quantity, density, and distribution of subcutaneous and visceral (sat and vat) adipose tissue compartments. |
2024-07-24 |
2024-07-28 |
Not clear |
| Yoon-Hee Choi, Dong Hyun Kim, Eun-Tae Jeon, Hyo Jin Lee, Tae Yun Park, Soon Ho Yoon, Kwang Nam Jin, Hyun Woo Le. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia. Scientific reports. vol 14. issue 1. 2024-07-23. PMID:39043882. |
this study investigates thoracic muscle mass from chest ct scans as a biomarker for predicting clinical outcomes in icu patients with severe pneumonia. |
2024-07-23 |
2024-07-26 |
Not clear |
| Yoon-Hee Choi, Dong Hyun Kim, Eun-Tae Jeon, Hyo Jin Lee, Tae Yun Park, Soon Ho Yoon, Kwang Nam Jin, Hyun Woo Le. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia. Scientific reports. vol 14. issue 1. 2024-07-23. PMID:39043882. |
analyzing electronic medical records and chest ct scans of 778 icu patients with severe community-acquired pneumonia from january 2016 to december 2021, ai-enhanced 3d segmentation was used to assess thoracic muscle mass. |
2024-07-23 |
2024-07-26 |
Not clear |
| Yoon-Hee Choi, Dong Hyun Kim, Eun-Tae Jeon, Hyo Jin Lee, Tae Yun Park, Soon Ho Yoon, Kwang Nam Jin, Hyun Woo Le. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia. Scientific reports. vol 14. issue 1. 2024-07-23. PMID:39043882. |
using ai to analyze thoracic muscle mass via chest ct provides a promising prognostic approach in severe pneumonia, advocating for its integration into clinical practice for better outcome predictions and personalized patient management. |
2024-07-23 |
2024-07-26 |
Not clear |
| Himanshu Rikhari, Esha Baidya Kayal, Shuvadeep Ganguly, Archana Sasi, Swetambri Sharma, Ajith Antony, Krithika Rangarajan, Sameer Bakhshi, Devasenathipathy Kandasamy, Amit Mehndiratt. Improving lung nodule segmentation in thoracic CT scans through the ensemble of 3D U-Net models. International journal of computer assisted radiology and surgery. 2024-07-23. PMID:39044036. |
improving lung nodule segmentation in thoracic ct scans through the ensemble of 3d u-net models. |
2024-07-23 |
2024-07-26 |
Not clear |