Abstract
Since MR imaging was introduced for the assessment of thoracic and lung diseases, various limitations have hindered its widespread adoption in clinical practice. Since 2000, various techniques have been developed that have demonstrated the usefulness of MR imaging for lung cancer evaluation, and it is now reimbursed by health insurance companies in many countries. This article reviews recent advances in lung MR imaging, focusing on its use for lung cancer evaluation, especially with regard to pulmonary nodule detection, pulmonary nodule and mass assessment, lung cancer staging and detection of recurrence, postoperative lung function prediction, and therapeutic response evaluation and prediction.
| Original language | English |
|---|---|
| Pages (from-to) | 437-469 |
| Number of pages | 33 |
| Journal | Radiologic Clinics of North America |
| Volume | 56 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 05-2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
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