N
Nestor L. Müller
Researcher at University of British Columbia
Publications - 548
Citations - 49118
Nestor L. Müller is an academic researcher from University of British Columbia. The author has contributed to research in topics: Lung & Respiratory disease. The author has an hindex of 111, co-authored 547 publications receiving 45508 citations. Previous affiliations of Nestor L. Müller include St. Paul's Hospital & Vancouver Hospital and Health Sciences Centre.
Papers
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Journal ArticleDOI
Thymic epithelial tumors: comparison of CT and MR imaging findings of low-risk thymomas, high-risk thymomas, and thymic carcinomas.
Junko Sadohara,Kiminori Fujimoto,Nestor L. Müller,Seiya Kato,Shinzo Takamori,Kazuaki Ohkuma,Hiroshi Terasaki,Naofumi Hayabuchi +7 more
TL;DR: The presence of irregular contour, necrotic or cystic component, heterogeneous enhancement, lymphadenopathy, and great vessel invasion on CT or MR imaging are strongly suggestive of thymic carcinomas.
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Computed tomographic imaging of the airways: relationship to structure and function.
TL;DR: The use of computed tomography in the investigation of airway structure and function in health and disease is reviewed in this article. But, this technique is invasive and does not allow the longitudinal analysis of the airway wall dimensions.
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CT of the chest: minimal tube current required for good image quality with the least radiation dose.
John R. Mayo,Thomas E. Hartman,Kyung Soo Lee,Steven L. Primack,Sverre Vedal,Nestor L. Müller +5 more
TL;DR: A twofold reduction in tube current (400-140 mAs) and resultant radiation dose did not cause a significant change in subjective image quality or in detection of mediastinal or lung abnormalities with conventional chest CT.
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Acute pulmonary embolism: ancillary findings at spiral CT.
TL;DR: Parenchymal findings at contrast material-enhanced spiral computed tomography in patients suspected to have pulmonary embolism may suggest further investigations when results of spiral CT are inconclusive in diagnosis.
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An analysis algorithm for measuring airway lumen and wall areas from high-resolution computed tomographic data.
TL;DR: An automated computed tomographic image analysis algorithm (computed tomographic airway morphometry; CTAM) was developed to measure airway lumen area, airway wall area, and airway angle of orientation and it was found that Ai was underestimated and Awa was overestimated in direct relation to airway size.