| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Benjamin J Best, Mokshal H Porwal, Peter A Pahapil. Preoperative Thoracic Spine Magnetic Resonance Imaging for Spinal Cord Stimulation: Should Such a Recommendation Be an Absolute Requirement? Neuromodulation : journal of the International Neuromodulation Society. vol 25. issue 5. 2022-07-08. PMID:35803680. |
we aimed to assess the impact of preoperative thoracic mri on surgical planning in a large series of surgical paddle scs lead placements in a real-world setting. |
2022-07-08 |
2023-08-14 |
Not clear |
| Vitali Koch, Gerald Loos, Leon D Gruenewald, Katrin Eichler, Christian Booz, Tommaso D'Angelo, Ibrahim Yel, Scherwin Mahmoudi, Simon S Martin, Marc Harth, Moritz H Albrecht, Stephan Zangos, Simon Bernatz, Axel Thalhammer, Jan-Erik Scholtz, Thomas J Vogl, Tatjana Gruber-Rou. Comprehensive comparison of three different workstations for accurate planning of endovascular stent implantation in patients with thoracic aortic aneurysms. European journal of radiology open. vol 9. 2022-06-27. PMID:35757233. |
comprehensive comparison of three different workstations for accurate planning of endovascular stent implantation in patients with thoracic aortic aneurysms. |
2022-06-27 |
2023-08-14 |
Not clear |
| Anna Shmukler, Jonathan Alis, Smita Patel, Larry Latson, Jane P K. Pitfalls and Pearls of Imaging Non-traumatic Thoracic Aortic Disease. Seminars in ultrasound, CT, and MR. vol 43. issue 3. 2022-06-10. PMID:35688532. |
imaging of the thoracic aorta is a common request in both the acute and outpatient settings, playing a crucial role in diagnosis and treatment planning of aortic disease. |
2022-06-10 |
2023-08-14 |
Not clear |
| Carlo Algranati, Lidia Strigar. Imaging Strategies in Proton Therapy for Thoracic Tumors: A Mini Review. Frontiers in oncology. vol 12. 2022-05-06. PMID:35515119. |
the focus is on the use of imaging strategies in simulation, planning, positioning, adaptation, monitoring, and delivery of treatment and how changes in the anatomy of thoracic tumors are handled with the available tools and devices in pbt. |
2022-05-06 |
2023-08-13 |
Not clear |
| Michael Chaney, Victor Martinez-Zavala, Rym El Khoury, Gaurang Joshi, Chad E Jacobs, John V White, Lewis B Schwart. Transposition of left subclavian artery with reimplantation of isolated left vertebral artery before thoracic endovascular aneurysm repair for type B aortic dissection. Journal of vascular surgery cases and innovative techniques. vol 8. issue 2. 2022-05-02. PMID:35493343. |
understanding and recognizing anatomic anomalies of the aortic arch is important when planning extra-anatomic debranching before thoracic endovascular aortic repair. |
2022-05-02 |
2023-08-13 |
Not clear |
| Lye-Yeng Wong, Mithran Sukumar, Cristina Fuss, Ruchi Thanawal. Pulmonary Vascular Complication associated with Coronavirus Infection and Role of Lung Resection. The Annals of thoracic surgery. 2022-04-26. PMID:35472408. |
thoracic surgery for infectious pulmonary artery pseudoaneurysms or perfusing granulomas in patients who have had covid-19 should be performed selectively and with thoughtful perioperative planning as to prevent the life-threatening complications of rupture and bleeding. |
2022-04-26 |
2023-08-13 |
Not clear |
| Hao He, Feng Wang, Pei Yuan Wang, Peng Chen, Wilson W L Li, Gianluca Perroni, Shuo Yan Li. Anatomical analysis of variations in the bronchus pattern of the left upper lobe using three-dimensional computed tomography angiography and bronchography. Annals of translational medicine. vol 10. issue 6. 2022-04-18. PMID:35433944. |
the number of sublobar resections performed is increasing, thoracic surgeons must be familiar with bronchus anatomy and preoperative planning plays an important role in predicting anatomical variations. |
2022-04-18 |
2023-08-13 |
Not clear |
| Wei-Ling Chen, Yi Lee, Tsung-Lung Yang, Chung-Dann Ka. Advantages of 3D printing schemes for surgical planning pertaining to type II aortic dissection thoracic endovascular aortic repairs. Asian journal of surgery. 2022-04-04. PMID:35370068. |
advantages of 3d printing schemes for surgical planning pertaining to type ii aortic dissection thoracic endovascular aortic repairs. |
2022-04-04 |
2023-08-13 |
Not clear |
| Zhao Li, Rongbin Li, Kendall J Kiser, Luca Giancardo, W Jim Zhen. Segmenting Thoracic Cavities with Neoplastic Lesions: A Head-to-head Benchmark with Fully Convolutional Neural Networks. ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. vol 2021. 2022-03-25. PMID:35330920. |
automatic segmentation of thoracic cavity structures in computer tomography (ct) is a key step for applications ranging from radiotherapy planning to imaging biomarker discovery with radiomics approaches. |
2022-03-25 |
2023-08-13 |
Not clear |
| Raphael Bodensohn, Lukas Käsmann, Chukwuka Eze, Montserrat Pazos, Claus Belka, Farkhad Manapo. Timing of tumor-induced atelectasis resolution and pulmonary function restoration in the course of image-guided moderate hypofractionated thoracic irradiation: a case report and mini-review of literature. BJR case reports. vol 8. issue 1. 2022-02-09. PMID:35136630. |
despite initially presenting himself with a poor performance status (ecog-ps iii) and diminished lung function, the patient was treated with image-guided thoracic irradiation to a total dose of 45.0 gy (to the whole planning target volume) / 52.5 gy (as simultaneous integrated boost to the primary tumor) applied in 15 daily fractions. |
2022-02-09 |
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. |
a deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and planning for endovascular repair from computed tomography. |
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. |
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 |
| Valentina Bellini, Marina Valente, Paolo Del Rio, Elena Bignam. Artificial intelligence in thoracic surgery: a narrative review. Journal of thoracic disease. vol 13. issue 12. 2022-01-24. PMID:35070380. |
the aim of this article is to review the current applications of artificial intelligence in thoracic surgery, from diagnosis and pulmonary disease management, to preoperative risk-assessment, surgical planning, and outcomes prediction. |
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. |
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 |
| Marzia Salgarello, Giuseppe Viscont. Designing Lateral Thoracic Wall Perforator Flaps for Breast Reconstruction Using the Ultrasound. Journal of reconstructive microsurgery. 2021-12-06. PMID:34872122. |
this article describes the ultrasound (us)-based planning of the lateral thoracic wall perforator adipocutaneous flaps and it reports our experience on 52 consecutive flaps. |
2021-12-06 |
2023-08-13 |
Not clear |
| Miguel Garrett Fernandes, Johan Bussink, Barbara Stam, Robin Wijsman, Dominic A X Schinagl, René Monshouwer, Jonas Teuwe. Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. vol 165. 2021-11-20. PMID:34688808. |
large radiotherapy (rt) planning imaging datasets with consistently contoured cardiovascular structures are essential for robust cardiac radiotoxicity research in thoracic cancers. |
2021-11-20 |
2023-08-13 |
Not clear |
| Richard L J Qiu, Yang Lei, Joseph Shelton, Kristin Higgins, Jeffrey D Bradley, Walter J Curran, Tian Liu, Aparna H Kesarwala, Xiaofeng Yan. Deep learning-based thoracic CBCT correction with histogram matching. Biomedical physics & engineering express. vol 7. issue 6. 2021-11-17. PMID:34654011. |
a deep-learning model which integrates histogram matching (hm) into a cycle-consistent adversarial network (cycle-gan) framework, called hm-cycle-gan, was trained to learn mapping between thoracic cbcts and paired planning cts. |
2021-11-17 |
2023-08-13 |
Not clear |
| Caroline John, Riccardo Dal Bello, Nicolaus Andratschke, Matthias Guckenberger, Judit Boda-Heggemann, Eleni Gkika, Frederick Mantel, Hanno M Specht, Carmen Stromberger, Franz Zehentmayr, Oliver Blanck, Panagiotis Balermpa. In-field stereotactic body radiotherapy (SBRT) reirradiation for pulmonary malignancies as a multicentre analysis of the German Society of Radiation Oncology (DEGRO). Scientific reports. vol 11. issue 1. 2021-11-16. PMID:33633130. |
patients with a second course of thoracic sbrt and planning target volume (ptv) overlap were analyzed in this retrospective, multicenter study. |
2021-11-16 |
2023-08-13 |
Not clear |
| Michael D Chuong, Christopher L Hallemeier, Heng Li, Xiaorong Ronald Zhu, Xiaodong Zhang, Erik J Tryggestad, Jen Yu, Ming Yang, J Isabelle Choi, Minglei Kang, Wei Liu, Antje Knopf, Arturs Meijers, Jason K Molitoris, Smith Apisarnthanarax, Huan Giap, Bradford S Hoppe, Percy Lee, Joe Y Chang, Charles B Simone, Steven H Li. Executive Summary of Clinical and Technical Guidelines for Esophageal Cancer Proton Beam Therapy From the Particle Therapy Co-Operative Group Thoracic and Gastrointestinal Subcommittees. Frontiers in oncology. vol 11. 2021-11-06. PMID:34737959. |
the particle therapy co-operative group thoracic and gastrointestinal subcommittees jointly developed guidelines regarding patient selection, treatment planning, clinical trials, and future directions of pbt for ec. |
2021-11-06 |
2023-08-13 |
Not clear |