Cost-effectiveness of lung MRI in lung cancer screening
Recent studies with lung MRI (MRI) have shown high sensitivity (Sn) and specificity (Sp) for lung nodule detection and characterization relative to low-dose CT (LDCT). Using this background data, we sought to compare the potential screening performance of MRI vs. LDCT using a Markov model of lung ca...
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| Main Authors: | , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
20 November 2019
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| In: |
European radiology
Year: 2019, Volume: 30, Issue: 3, Pages: 1738-1746 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-019-06453-9 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://dx.doi.org/10.1007/s00330-019-06453-9 Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00330-019-06453-9 |
| Author Notes: | Bradley D. Allen, Mark L. Schiebler, Gregor Sommer, Hans-Ulrich Kauczor, Juergen Biederer, Timothy J. Kruser, James C. Carr & Gordon Hazen |
| Summary: | Recent studies with lung MRI (MRI) have shown high sensitivity (Sn) and specificity (Sp) for lung nodule detection and characterization relative to low-dose CT (LDCT). Using this background data, we sought to compare the potential screening performance of MRI vs. LDCT using a Markov model of lung cancer screening. |
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| Item Description: | Gesehen am 27.10.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-019-06453-9 |