Automated MR-based lung volume segmentation in population-based whole-body MR imaging: correlation with clinical characteristics, pulmonary function testing and obstructive lung disease
Objectives: Whole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences in the population-based KORA-FF4 cohor...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2019
|
| In: |
European radiology
Year: 2018, Jahrgang: 29, Heft: 3, Pages: 1595-1606 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-018-5659-9 |
| Online-Zugang: | Verlag, Pay-per-use, Volltext: https://doi.org/10.1007/s00330-018-5659-9
|
| Verfasserangaben: | Jan Mueller, Stefan Karrasch, Roberto Lorbeer, Tatyana Ivanovska, Andreas Pomschar, Wolfgang G. Kunz, Ricarda von Krüchten, Annette Peters, Fabian Bamberg, Holger Schulz, Christopher L. Schlett |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1665077484 | ||
| 003 | DE-627 | ||
| 005 | 20230426130920.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 190509r20192018xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00330-018-5659-9 |2 doi | |
| 035 | |a (DE-627)1665077484 | ||
| 035 | |a (DE-599)KXP1665077484 | ||
| 035 | |a (OCoLC)1341212856 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Müller, Jan |d 1984- |e VerfasserIn |0 (DE-588)1216662460 |0 (DE-627)1727916964 |4 aut | |
| 245 | 1 | 0 | |a Automated MR-based lung volume segmentation in population-based whole-body MR imaging |b correlation with clinical characteristics, pulmonary function testing and obstructive lung disease |c Jan Mueller, Stefan Karrasch, Roberto Lorbeer, Tatyana Ivanovska, Andreas Pomschar, Wolfgang G. Kunz, Ricarda von Krüchten, Annette Peters, Fabian Bamberg, Holger Schulz, Christopher L. Schlett |
| 264 | 1 | |c 2019 | |
| 300 | |a 12 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Published online: 27 August 2018 | ||
| 500 | |a Gesehen am 09.05.2019 | ||
| 520 | |a Objectives: Whole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences in the population-based KORA-FF4 cohort study. Methods: 400 subjects (56.4 ± 9.2 years, 57.6% males) underwent whole-body MRI including a coronal T1-DIXON-VIBE sequence in inspiration breath-hold, originally acquired for fat quantification. Based on MRI, lung volumes were derived using an automated framework and related to common predictors, pulmonary function tests (PFT; spirometry and pulmonary gas exchange, n = 214) and obstructive lung disease. Results: MRI-based lung volume was 4.0 ± 1.1 L, which was 64.8 ± 14.9% of predicted total lung capacity (TLC) and 124.4 ± 27.9% of functional residual capacity. In multivariate analysis, it was positively associated with age, male, current smoking and height. Among PFT indices, MRI-based lung volume correlated best with TLC, alveolar volume and residual volume (RV; r = 0.57 each), while it was negatively correlated to FEV1/FVC (r = 0.36) and transfer factor for carbon monoxide (r = 0.16). Combining the strongest PFT parameters, RV and FEV1/FVC remained independently and incrementally associated with MRI-based lung volume (β = 0.50, p = 0.04 and β = - 0.02, p = 0.02, respectively) explaining 32% of the variability. For the identification of subjects with obstructive lung disease, height-indexed MRI-based lung volume yielded an AUC of 0.673-0.654. Conclusion: Lung volume derived from non-dedicated whole-body MRI is independently associated with RV and FEV1/FVC. Furthermore, its moderate accuracy for obstructive lung disease indicates that it may be a promising tool to assess pulmonary health in whole-body imaging when PFT is not available. Key Points • Although whole-body MRI often does not include dedicated lung sequences, lung volume can be automatically derived using dedicated segmentation algorithms • Lung volume derived from whole-body MRI correlates with typical predictors and risk factors of respiratory function including smoking and represents about 65% of total lung capacity and 125% of the functional residual capacity • Lung volume derived from whole-body MRI is independently associated with residual volume and the ratio of forced expiratory volume in 1 s to forced vital capacity and may allow detection of obstructive lung disease | ||
| 534 | |c 2018 | ||
| 650 | 4 | |a Computer-assisted image analysis | |
| 650 | 4 | |a Magnetic resonance imaging | |
| 650 | 4 | |a Obstructive lung disease | |
| 650 | 4 | |a Pulmonary function test | |
| 650 | 4 | |a Whole-body imaging | |
| 700 | 1 | |a Krüchten, Ricarda von |d 1989- |e VerfasserIn |0 (DE-588)112723868X |0 (DE-627)881657344 |0 (DE-576)485128594 |4 aut | |
| 700 | 1 | |a Schlett, Christopher L. |d 1983- |e VerfasserIn |0 (DE-588)1022729977 |0 (DE-627)717033945 |0 (DE-576)36586398X |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t European radiology |d Berlin : Springer, 1991 |g 29(2019), 3, Seite 1595-1606 |h Online-Ressource |w (DE-627)268757526 |w (DE-600)1472718-3 |w (DE-576)103868070 |x 1432-1084 |7 nnas |a Automated MR-based lung volume segmentation in population-based whole-body MR imaging correlation with clinical characteristics, pulmonary function testing and obstructive lung disease |
| 773 | 1 | 8 | |g volume:29 |g year:2019 |g number:3 |g pages:1595-1606 |g extent:12 |a Automated MR-based lung volume segmentation in population-based whole-body MR imaging correlation with clinical characteristics, pulmonary function testing and obstructive lung disease |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00330-018-5659-9 |x Verlag |x Resolving-System |z Pay-per-use |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20190509 | ||
| 993 | |a Article | ||
| 994 | |a 2019 | ||
| 998 | |g 1022729977 |a Schlett, Christopher L. |m 1022729977:Schlett, Christopher L. |d 910000 |d 911400 |e 910000PS1022729977 |e 911400PS1022729977 |k 0/910000/ |k 1/910000/911400/ |p 11 |y j | ||
| 998 | |g 112723868X |a Krüchten, Ricarda von |m 112723868X:Krüchten, Ricarda von |d 910000 |d 911400 |e 910000PK112723868X |e 911400PK112723868X |k 0/910000/ |k 1/910000/911400/ |p 7 | ||
| 998 | |g 1216662460 |a Müller, Jan |m 1216662460:Müller, Jan |d 910000 |d 911400 |e 910000PM1216662460 |e 911400PM1216662460 |k 0/910000/ |k 1/910000/911400/ |p 1 |x j | ||
| 999 | |a KXP-PPN1665077484 |e 3472449454 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"origin":[{"dateIssuedKey":"2019","dateIssuedDisp":"2019"}],"id":{"doi":["10.1007/s00330-018-5659-9"],"eki":["1665077484"]},"name":{"displayForm":["Jan Mueller, Stefan Karrasch, Roberto Lorbeer, Tatyana Ivanovska, Andreas Pomschar, Wolfgang G. Kunz, Ricarda von Krüchten, Annette Peters, Fabian Bamberg, Holger Schulz, Christopher L. Schlett"]},"physDesc":[{"extent":"12 S."}],"relHost":[{"physDesc":[{"extent":"Online-Ressource"}],"id":{"eki":["268757526"],"zdb":["1472718-3"],"issn":["1432-1084","1613-3757"]},"origin":[{"dateIssuedDisp":"1991-","publisher":"Springer","dateIssuedKey":"1991","publisherPlace":"Berlin ; Heidelberg"}],"titleAlt":[{"title":"European radiology / Supplement"},{"title":"European radiology supplements"}],"part":{"text":"29(2019), 3, Seite 1595-1606","volume":"29","extent":"12","year":"2019","issue":"3","pages":"1595-1606"},"pubHistory":["1.1991 -"],"corporate":[{"role":"isb","display":"European Association of Radiology","roleDisplay":"Herausgebendes Organ"}],"language":["eng"],"recId":"268757526","note":["Gesehen am 06.02.2018","Ungezählte Beil.: Supplement"],"disp":"Automated MR-based lung volume segmentation in population-based whole-body MR imaging correlation with clinical characteristics, pulmonary function testing and obstructive lung diseaseEuropean radiology","type":{"bibl":"periodical","media":"Online-Ressource"},"title":[{"title_sort":"European radiology","title":"European radiology","subtitle":"official organ of the European Association of Radiology"}]}],"title":[{"title_sort":"Automated MR-based lung volume segmentation in population-based whole-body MR imaging","title":"Automated MR-based lung volume segmentation in population-based whole-body MR imaging","subtitle":"correlation with clinical characteristics, pulmonary function testing and obstructive lung disease"}],"person":[{"family":"Müller","given":"Jan","roleDisplay":"VerfasserIn","display":"Müller, Jan","role":"aut"},{"role":"aut","roleDisplay":"VerfasserIn","display":"Krüchten, Ricarda von","given":"Ricarda von","family":"Krüchten"},{"given":"Christopher L.","family":"Schlett","role":"aut","display":"Schlett, Christopher L.","roleDisplay":"VerfasserIn"}],"note":["Published online: 27 August 2018","Gesehen am 09.05.2019"],"type":{"media":"Online-Ressource","bibl":"article-journal"},"language":["eng"],"recId":"1665077484"} | ||
| SRT | |a MUELLERJANAUTOMATEDM2019 | ||