| Literature DB >> 33952785 |
Yumi Tanaka1, Yoshiharu Ohno1,2, Satomu Hanamatsu1, Yuki Obama1, Takahiro Ueda1, Hirotaka Ikeda1, Akiyoshi Iwase3, Takashi Fukuba3, Hidekazu Hattori1, Kazuhiro Murayama2, Takeshi Yoshikawa4, Daisuke Takenaka4, Hisanobu Koyama5, Hiroshi Toyama1.
Abstract
Since thoracic MR imaging was first used in a clinical setting, it has been suggested that MR imaging has limited clinical utility for thoracic diseases, especially lung diseases, in comparison with x-ray CT and positron emission tomography (PET)/CT. However, in many countries and states and for specific indications, MR imaging has recently become practicable. In addition, recently developed pulmonary MR imaging with ultra-short TE (UTE) and zero TE (ZTE) has enhanced the utility of MR imaging for thoracic diseases in routine clinical practice. Furthermore, MR imaging has been introduced as being capable of assessing pulmonary function. It should be borne in mind, however, that these applications have so far been academically and clinically used only for healthy volunteers, but not for patients with various pulmonary diseases in Japan or other countries. In 2020, the Fleischner Society published a new report, which provides consensus expert opinions regarding appropriate clinical indications of pulmonary MR imaging for not only oncologic but also pulmonary diseases. This review article presents a brief history of MR imaging for thoracic diseases regarding its technical aspects and major clinical indications in Japan 1) in terms of what is currently available, 2) promising but requiring further validation or evaluation, and 3) developments warranting research investigations in preclinical or patient studies. State-of-the-art MR imaging can non-invasively visualize lung structural and functional abnormalities without ionizing radiation and thus provide an alternative to CT. MR imaging is considered as a tool for providing unique information. Moreover, prospective, randomized, and multi-center trials should be conducted to directly compare MR imaging with conventional methods to determine whether the former has equal or superior clinical relevance. The results of these trials together with continued improvements are expected to update or modify recommendations for the use of MRI in near future.Entities:
Keywords: lung; magnetic resonance imaging; mediastinum; thorax
Mesh:
Year: 2021 PMID: 33952785 PMCID: PMC9199970 DOI: 10.2463/mrms.rev.2020-0184
Source DB: PubMed Journal: Magn Reson Med Sci ISSN: 1347-3182 Impact factor: 2.760
Summary of recommended clinical indications of MR imaging for thoracic diseases
| Category | Clinical Indications |
|---|---|
|
| lung cancer staging (TNM stating) |
| pulmonary nodule characterization | |
| pulmonary nodule detection | |
| pulmonary hypertension | |
| pulmonary thromboembolism | |
|
| radiological finding evaluation in pulmonary parenchymal diseases |
|
| chronic obstructive pulmonary disease (COPD) |
| asthma | |
| interstitial lung disease |
COPD, chronic obstructive pulmonary disease.
Fig. 164-year-old male with a solid nodule with 13-mm-long axis diameter and diagnosed as invasive adenocarcinoma (From left to right: standard-dose CT, low-dose CT, and pulmonary MR imaging with UTE). Standard- and low-dose CTs and pulmonary MR imaging with UTE clearly show a solid nodule with a 13-mm-long axis diameter in the right upper lobe. (Reproduced, with permission, from reference No. 45) UTE, ultra-short TE.
Fig. 348-year-old male with ground-glass nodule, 5-mm-long axis diameter, and followed up for over 1 year (From left to right: standard-dose CT, low-dose CT, and pulmonary MR imaging with UTE). Standard- and low-dose CTs and pulmonary MR imaging with UTE clearly show a ground-glass nodule with a 5-mm-long diameter in the right middle lobe. (Reproduced, with permission, from reference No. 45) UTE, ultra-short TE.
Capability of MR sequence for pulmonary nodule and mass detection determined in previous studies
| Year | Field strength (T) | Gold standard | Nodule size (mm) | Applied sequences | SE (%) | ||
|---|---|---|---|---|---|---|---|
| Vogt FM, et al. | 2004 | 1.5 | 4-detector row CT | 5 ≤ | ECG-triggered, breath-hold proton density-weighted black blood-prepared HASTE | 95.6 | |
| Bruegel M, et al. | 2007 | 1.5 | 64-detector row CT | 1–31 | Breath-hold T2W HASTE | 47.7 | |
| Breath-hold T2W IR-HASTE | 45.5 | ||||||
| Breath-hold T2W TSE | 69.0 | ||||||
| Breath-hold STIR | 63.4 | ||||||
| Precontrast 3D VIBE | 54.1 | ||||||
| Postcontrast 3D VIBE | 51 | ||||||
| Respiratory- and pulse-triggered STIR | 72.0 | ||||||
| Yi CA, et al. | 2007 | 3 | 4-detector row CT | 13–80 | ECG-gated T1W 3D TSE | 57.0 | |
| ECG-gated T2W triple inversion black blood TSE | 56.0 | ||||||
| Koyama H, et al. | 2008 | 1.5 | 4-detector row CT | 1–30 | ECG-gated and respiratory-triggered T1W TSE | 96.1 | |
| ECG-gated and respiratory-triggered T2W TSE | 96.1 | ||||||
| ECG-gated and respiratory-triggered STIR | 96.1 | ||||||
| Frericks BB, et al. | 2008 | 1.5 | 16-detector row CT | 1–61 | Multi-breath-hold STIR | 92.5 | |
| Respiratory-triggered T2W TSE | 90.8 | ||||||
| Postcontrast 3D VIBE | 87.3 | ||||||
| Cieszanowski A, et al. | 2016 | 1.5 | 64-detector row CT | 2–28 | Breath-hold T1W VIBE | 69.0 | |
| Breath-hold T1W opposed-phase GRE | 48.7 | ||||||
| Breath-hold T2W TSE | 48.7 | ||||||
| Breath-hold T2W TSE with SPAIR | 54.9 | ||||||
| Breath-hold T2W STIR | 45.1 | ||||||
| Breath-hold T2W HASTE | 25.7 | ||||||
| Burris NS, et al. | 2016 | 3 (PET/MRI) | PET/CT with 16- or 64-detector row CTs | 3–17 | 3D GRE with UTE | 73.2 | |
| 3D dual-echo GRE with a two-point Dixon method | 30.5 | ||||||
| Ohno Y, et al. | 2017 | 3 | 64-detector row CT | 4-29 | Respiratory-gated 3D GRE with UTE | 93.0 | No significant difference with standard- and reduced dose CTs |
ECG, electrocardiogram; GRE, gradient-echo; HASTE, half-fourier-acquisition single-shot turbo spin-echo; IR, inversion recovery; SE, sensitivity; SPAIR, spectral attenuated inversion recovery; STIR, short inversion time (TI) inversion recovery; T1W, T1-weighted; T2W, T2-weighted; TSE, turbo spin-echo; UTE, ultra-short TE; VIBE, volumetric interpolated breath-hold.
Fig. 4Images in 82-year-old man with invasive adenocarcinoma in right upper lobe. a: Thin-section CT scan with 1-mm-thick sections (left), pulmonary MRI scan with ultrashort echo time at 110 msec and 1-mm-thick sections (middle), and fluorine 18 FDG PET/CT scan with 2.5-mm-thick sections (right). CT and MRI scans show solid nodule with notch. This nodule demonstrates high FDG uptake on PET/CT scan. CT and MRI scans also show bullae and emphysematous lung surrounding tumor. b: Dynamic first-pass contrast material-enhanced perfusion gradient-echo MRI scans obtained with a 3-T system demonstrate well-enhanced nodule (arrows) in right upper lobe. This nodule shows enhancement from lung parenchymal phase and is well enhanced at systemic circulation phase. t is the time after injection of gadolinium-based contrast agent followed by saline chaser. (Reproduced, with permission, from reference No. 2) FDG, fluorodeoxyglucose.
Diagnostic performance of dynamic contrast-enhanced MR imaging for distinguishing malignant from benign pulmonary nodules
| Year | Modality | Field strength (T) | MR sequence | Parameters | No. of nodule | SE (%) | SP (%) | AC (%) | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Hittmair K, et al. | 1995 | Dynamic contrast-enhanced MR imaging | 1.5 | 2D FLASH | Enhancement factor | 20 | 100 | 67 | 91 | |
| Relative signal intensity increase | 100 | 17 | 76 | |||||||
| Gückel C, et al. | 1996 | Dynamic contrast-enhanced MR imaging | 1.5 | 2D turbo FISP | Percentage increase in signal intensity | 28 | 100 | 50 | 86 | |
| Enhancement curves | 100 | 88 | 96 | |||||||
| Ohno Y, et al. | 2002 | Dynamic first-pass contrast-enhanced MR imaging | 1.5 | 3D radio-frequency spoiled GRE (i.e. 3D-fast field echo) | Mean maximum relative enhancement ratio | 58 | 100 | 75 | 91 | |
| Slope of enhancement | 100 | 85 | 95 | |||||||
| Schaefer JF, et al. | 2004 | Dynamic contrast-enhanced MR imaging | 1.5 | 2D T1-weighted in-phase GRE | Maximum peak | 51 | 96 | 88 | 92 | |
| Slope | 96 | 75 | 86 | |||||||
| Washout | 52 | 100 | 75 | |||||||
| Kono R, et al. | 2007 | N/A | 1.5 | 2D T1-weighted spin-echo | Maximum enhancement ratio | 202 | 63 | 84 | 67 | malignant nodule vs. OP |
| 81 | 81 | 81 | malignant nodule vs. hamartoma | |||||||
| Slope | 55 | 71 | 58 | malignant nodule vs. OP | ||||||
| 94 | 96 | 94 | malignant nodule vs. hamartoma | |||||||
| Washout ratio | 83 | 63 | 80 | |||||||
| Ohno Y, et al. | 2008 | Dynamic first-pass contrast-enhanced MR imaging | 1.5 | 3D radio-frequency spoiled GRE (i.e. 3D-fast field echo) | Mean maximum relative enhancement ratio | 202 | 96 | 54 | 86 | |
| Slope of enhancement | 96 | 64 | 88 | |||||||
| Dynamic contrast-enhanced MDCT | NA | NA | Maximum enhancement combined with absolute loss of enhancement | 93 | 42 | 80.7 | ||||
| Net enhancement combined with absolute loss of enhancement | 93 | 52 | 83.2 | |||||||
| Slope of enhancement combined with absolute loss of enhancement | 93 | 48 | 82 | |||||||
| PET/CT | NA | N/A | SUVmax | 93 | 54 | 84 | ||||
| Zou Y, et al. | 2008 | Dynamic contrast-enhanced MR imaging | 1.5 | T1-weighted fast spin-echo | Steepest slope in time–signal intensity | 68 | 81 | 98 | 94 | Benign SPN vs. malignant and active inflammatory SPN |
| Enhancement of signal | 93 | 100 | 94 | Malignant SPN vs. active inflammatory SPN | ||||||
| intensity at 4th min on | ||||||||||
| time–signal intensity curve | ||||||||||
| Coolen J, et al. | 2014 | DWI | 3 | spin-echo type echo planar imaging | ADChigh (ADC determined from b values 500, 750 and 1,000 s/mm2) | 54 | 98 | 36 | 85 | |
| Dynamic contrast-enhanced MR imaging | 3D radio-frequency spoiled GRE (i.e. 3D-fast field echo) | Visual curve typing | 100 | 51 | 91 | |||||
| Dynamic contrast-enhanced MR imaging with DWI | Visual curve typing with ADChigh (ADC determined from b values 500, 750 and 1,000 s/mm2) | 98 | 82 | 94 | ||||||
| PET/CT | N/A | N/A | SUV contrast ratio | 93 | 36 | 76 | ||||
| Ohno Y, et al. | 2015 | Dynamic first-pass contrast-enhanced MR imaging | 3 | 3D radio-frequency spoiled GRE (i.e. 3D-fast field echo) | Maximum relative enhancement ratio | 218 | 92 | 49 | 76 | |
| Slope of enhancement ratio | 93 | 49 | 76 | |||||||
| Dynamic first-pass contrast-enhanced ADCT | NA | N/A | Total perfusion | 92 | 71 | 84 | ||||
| Pulmonary arterial perfusion | 90 | 26 | 65 | |||||||
| Systemic arterial perfusion | 89 | 26 | 65 | |||||||
| Nodule perfusion | 91 | 28 | 67 | |||||||
| PET/CT | NA | N/A | SUVmax | 89 | 31 | 67 | ||||
| Ohno Y, et al. | 2019 | Dynamic first-pass contrast-enhanced ADCT | NA | N/A | Total perfusion | 71 | 91 | 81 | 87 | |
| Pulmonary arterial perfusion | 84 | 77 | 82 | |||||||
| Systemic arterial perfusion | 84 | 65 | 78 | |||||||
| Dynamic first-pass contrast-enhanced MR imaging | 3 | 3D radio-frequency spoiled GRE (i.e. 3D-fast field echo) | Total perfusion | 89 | 85 | 87 | ||||
| Pulmonary arterial perfusion | 84 | 77 | 82 | |||||||
| Systemic arterial perfusion | 84 | 65 | 78 | |||||||
| PET/CT | NA | N/A | SUVmax | 82 | 83 | 79 |
AC, accuracy; ADC, apparent diffusion coefficient; DWI, diffusion-weighted imaging; FISP, fast imaging with steady-state precession; FLASH, fast low-angle shot magnetic resonance imaging; GRE, gradient-echo; OP, organizing pneumonia; PET, positron emission tomography; SE, sensitivity; SP, specificity; SPN, solitary pulmonary nodule; SUV, standardized uptake value; SUVmax, maximum standardized uptake value.
Fig. 5Images in a 73-year-old patient with pathologically diagnosed N2 adenocarcinoma. a: STIR turbo SE image shows that primary lesion (medium arrow), subcarina lymph node (thick arrow), and right hilar lymph node (thin arrow) have high SI. Primary lesion in the right lower lobe is visible in the same axial plane. LSRs of lymph nodes were 0.75 (right hilar lymph node) and 0.78 (subcarina lymph node); LMRs were 1.7 (right hilar lymph node) and 1.9 (subcarina lymph node); and visual scores were 5. An accurate diagnosis of N2 disease was made. b: DW MR image shows that primary lesion (medium arrow), subcarina lymph node (thick arrow), and right hilar lymph node (thin arrow) have high SI. Primary lesion in the right lower lobe is visible in the same axial plane. ADCs of lymph nodes were 2.8×10-3sec/mm2(right hilar lymph node) and 3.4×10-3sec/mm2(subcarina lymph node), and visual scores were 5. An accurate diagnosis of N2 disease was made. c: FDG PET/CT image shows that primary lesion (medium arrow) and right hilar lymph node (thin arrow) have high uptake of FDG, and subcarina lymph node (thick arrow) has low uptake of FDG. Primary lesion in the right lower lobe is visible in the same axial plane. SUVmax of lymph nodes was 3.2 (right hilar lymph node) and 1.5 (subcarina lymph node), and visual scores were 5 (right hilar lymph node) and 2 (subcarina lymph node). An inaccurate diagnosis of N1 was made. (Reproduced, with permission, from reference No. 99) ADC, apparent diffusion coefficient; DW, diffusion-weighted; FDG, fluorodeoxyglucose; LMR, lymph node-to-muscle ratio; LSR, lesion-to-saline ratio; PET, positron emission tomography; SE, spin-echo; SI, signal intensity; STIR, short inversion time inversion recovery; SUVmax, maximum standardized uptake value.
Fig. 6Images in a 72-year-old patient with pathologically diagnosed N1 adenocarcinoma. a: STIR turbo SE image shows that left hilar lymph node (arrow) has high SI. Primary lesion is not visible in the same axial plane. Thymic cyst can be seen in the anterior mediastinum. LSR of the lymph node was 0.70, LMR was 1.5, and visual score was 5. An accurate diagnosis of N1 disease was made. b: DW MR image shows that left hilar lymph node (arrow) has low SI. Primary lesion is not visible in the same axial plane. Thymic cyst can be seen as low SI in anterior mediastinum. ADC of the lymph node was 1.5×10-3sec/mm2, and visual score was 2. An inaccurate diagnosis of N0 was made. c: FDG PET/CT image shows that left hilar lymph node (arrow) has low uptake of FDG. Primary lesion is not visible in the same axial plane. Thymic cyst can be seen in the anterior mediastinum. SUVmax of the lymph node was 1.2, and visual score was 1. An inaccurate diagnosis of N0 disease was made. (Reproduced, with permission, from reference No. 99) ADC, apparent diffusion coefficient; DW, diffusion-weighted; FDG, fluorodeoxyglucose; LMR, lymph node-to-muscle ratio; LSR, lesion-to-spinal cord ratio; PET, positron emission tomography; SE, spin-echo; SI, signal intensity; STIR, short inversion time inversion recovery; SUVmax, maximum standardized uptake value.
Diagnostic performance of T factor evaluation with MR imaging
| Author | Year | Field strength (T) | Sequence | MR imaging | CT | Standard reference | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| SE (%) | SP (%) | AC (%) | SE (%) | SP (%) | AC (%) | |||||
| Webb, et al. | 1991 | 0.35 or 1.5 | ECG-gated T1- and T2-weighted spin-echo | 80 | 56 | 73 | 84 | 63 | 78 | Surgical and pathological diagnosis |
| Sakai, et al. | 1997 | 1.5 | Free-breathing Cine-GRASS | 10 | 70 | 76 | 80 | 65 | 68 | Surgical and pathological diagnosis |
| Ohno, et al. | 2001 | 1.5 | dynamic ECG-triggered 3D-GRE | 78-90 | 73-87 | 75-88 | 67-70 | 60-64 | 68-71 | Surgical and pathological diagnosis |
| Tang, et al. | 2015 | 3 | Breath-hold dynamic CE 2D-GRE | N/A | N/A | 82.2 | N/A | N/A | 84.4 | Pathological diagnosis |
AC, accuracy; CE, contrast enhanced; ECG, electrocardiogram; GRASS, gradient recalled acquisition in the steady state; GRE, gradient echo; SE, sensitivity; SP, specificity.
Diagnostic performance of N factor evaluation with MR imaging
| Author | Year | Field strength (T) | Sequence | MR imaging | CT | FDG-PET/CT | Analysis | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SE (%) | SP (%) | AC (%) | SE (%) | SP (%) | AC (%) | SE (%) | SP (%) | AC (%) | |||||
| Takenaka, et al. | 2002 | 1.5 | ECG-triggered T1W TSE, STIR | 52 or 100 | 91 or 96 | 83or 96 | 52 | 91 | 83 | N/A | N/A | N/A | per-node basis |
| Ohno, et al. | 2004 | 1.5 | STIR | 93 | 87 | 89 | 53 | 83 | 72 | N/A | N/A | N/A | per-node basis and per-patient basis |
| Ohno, et al. | 2007 | 1.5 | STIR | 84 or 90 | 74 or 77 | 88 or 92 | 88 | 90 or 93 | 82.6 | N/A | N/A | N/A | per-node basis and per-patient basis |
| Hasegawa, et al. | 2008 | 1.5 | DWI (b = 0 and 1000 s/mm2) by SS-SE-EPI | 80 | 97 | 95 | N/A | N/A | N/A | N/A | N/A | N/A | per-patient basis |
| Nomori, et al. | 2008 | 1.5 | DWI (b = 0 and 1000 s/mm2) by SS-SE-EPI | 67 | 99 | 98 | N/A | N/A | N/A | 72 | 97 | 96 | per-node basis and per-patient basis |
| Morikawa, et al. | 2009 | 1.5 | STIR | 93.9 or 96.3 | 67.3 or 70.9 | 84.7 | N/A | N/A | N/A | 90.2 | 65.5 | 80.3 | per-node basis and per-patient basis |
| Nakayama, et al. | 2010 | 1.5 | DWI (b = 50 and 1000 s/mm2) by SS-SE-EPI | 69 | 100 | 94 | N/A | N/A | N/A | N/A | N/A | N/A | per-node basis and per-patient basis |
| Usuda, et al. | 2011 | 1.5 | T1W SE, T2W FSE and DWI (b = 0 and 800 s/mm2) by SS-SE-EPI | 59 | 93 | 81 | N/A | N/A | N/A | 33 | 90 | 71 | per-node basis and per-patient basis |
| Ohno, et al. | 2011 | 1.5 | STIR, DWI (b = 0 and 1000 s/mm2) by SS-SE-EPI | 71.0 or 82.8 | 88.5 or 90.4 | 82.8 or 86.8 | N/A | N/A | N/A | 69.9 or 74.2 | 91.7 or 92.4 | 83.6 or 85.6 | per-node basis and per-patient basis |
| Ohno, et al. | 2015 | 3 | STIR-FASE, DWI (b = 0 and 300 s/mm2) by SS-SE-EPI and FASE | 60.3–82.1 | 98.7 | 79.5–90.4 | N/A | N/A | N/A | 57.7 | 97.4 | 77.6 | per-node basis and per-patient basis |
| Usuda, et al. | 2015 | 1.5 | T1W SE, T2W FSE, DWI (b = 0 and 800 s/mm2) by SS-SE-EPI | 71 | 100 | 91 | N/A | N/A | N/A | 86 | 31 | 48 | per-patient basis |
| Nomori, et al. | 2016 | 1.5 | DWI (b = 800 s/mm2) by SS-SE-EPI | 38 or 79 | 92 or 94 | 75 | N/A | N/A | N/A | 33 or 58 | 89 or 90 | 67 | per-node basis and per-patient basis |
| Peerlings, et al. | 2016 | Mainly 1.5T (Meta-Analysis) | DWI and STIR | 86.5 | 88.2 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | per-node basis and per-patient basis |
AC, accuracy; DWI, diffusion-weighted imaging; ECG, electrocardiogram; FASE, fast advanced spin-echo; FSE, fast spin-echo; SE, sensitivity; SP, specificity; SS-SE-EPI, single shot spin-echo type echo planar imaging; T1W, T1-weighted; T2W, T2-weighted; TSE, turbo spin-echo.
Diagnostic performance of M factor evaluation with MR imaging
| Author | Year | Field strength (T) | Whole-body MRI | FDG-PET/MRI | FDG-PET/CT | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SE (%) | SP (%) | AC (%) | SE (%) | SP (%) | AC (%) | SE (%) | SP (%) | AC (%) | |||
| Ohno, et al. | 2007 | 1.5 | N/A | N/A | 80 | N/A | N/A | N/A | N/A | N/A | 73.3 |
| Yi, et al. | 2008 | 3 | N/A | N/A | 86 | N/A | N/A | N/A | N/A | N/A | 86 |
| Ohno, et al. | 2008 | 1.5 | 58 or 70 | 88 or 92 | 82 or 88 | N/A | N/A | N/A | 63 | 95 | 88 |
| Takenaka, et al. | 2009 | 1.5 | 73 or 96 | 94 or 96 | 94 or 96 | N/A | N/A | N/A | 97 | 96 | 96 |
| Ohno, et al. | 2015 | 3 | 100 | 88 | 99 | 93 or 100 | 81 or 88 | 91 or 99 | 93 | 75 | 91 |
| Lee, et al. | 2016 | 3 | N/A | N/A | N/A | 83 | 100 | 98 | 67 | 100 | 96 |
| Ohno Y, et al. | 2020 | 3 | N/A | N/A | 94 or 97 | N/A | N/A | 94 or 97 | N/A | N/A | 96 |
Standard reference for M-stage in each study was determined by standard imaging, pathological examination and follow-up examination results. AC, accuracy; FDG, fluorodeoxyglucose; PET, positron emission tomography; SE, sensitivity; SP, specificity.
Fig. 7Images in 42-year-old woman with chronic pulmonary arterial hypertension from an atrial septal defect with pulmonary insufficiency.a: Coronal MR angiogram shows an enlarged pulmonary artery (arrow). b: Four-dimensional flow systolic phase path lines from emitter plane at pulmonary valve show rapid flow in red at the pulmonary trunk and turbulent (helical) flows in right and left (arrow) pulmonary arteries. c: Four-dimensional flow in diastolic phase shows lower velocity pulmonary insufficiency path lines in blue (arrow) from same emitter plane at pulmonary valve, with calculated regurgitant fraction of 28%. (Reproduced, with permission, from reference No. 2)
Cardiovascular magnetic resonance biomarkers for assessment of pulmonary hypertension
| Author | Year | No. of patients | Field strength (T) | Cardiac MR indexes | Hazard Ratio | Hazard Ratio 95% C.I. | ||
|---|---|---|---|---|---|---|---|---|
| Gan, et al. | 2007 | 70 | 1.5 | PA RAC | 0.87 | (risk of mortality) | 0.79-0.96 | 0.006 |
| van Wolferen, et al. | 2007 | 64 | 1.5 | SVI | 0.764 | (risk of mortality) | N/A | < 0.001 |
| RVEDVI | 1.61 | < 0.001 | ||||||
| LVEDVI | 0.705 | 0.002 | ||||||
| van de Veerdonk, et al. | 2011 | 110 | 1.5 | RVESVI | 1.014 | (risk of mortality) | 1.001-1.027 | 0.048 |
| RVEF | 0.938 | 0.902-0.975 | 0.001 | |||||
| LVEDVI | 0.962 | 0.931-0.994 | 0.019 | |||||
| LVESVI | 0.942 | 0.888-0.998 | 0.045 | |||||
| SVI | 0.945 | 0.899-0.993 | 0.025 | |||||
| Swift, et al. | 2014 | 79 | 1.5 | FWHM | 1.08 | (risk of mortality) | 1.01-1.16 | 0.034 |
| PTT | 1.1 | 1.03-1.18 | 0.01 | |||||
| Baggen, et al. | 2016 | 539 | N/A (meta-analysis) | RVEF | 1.23 | (prognostic value) | 1.07-1.41 | 0.003 |
| RVEDVI | 1.06 | 1.00-1.12 | 0.049 | |||||
| RVESVI | 1.05 | 1.01-1.09 | 0.013 | |||||
| LVEDVI | 1.16 | 1.00-1.34 | 0.045 | |||||
| de Siqueira, et al. | 2016 | 110 | 1.5 | GLS | 1.06 | (risk of disease severity, associated with clinically relevant outcomes) | 1-1.12 | 0.026 |
| RVEF | 0.97 | 0.94-0.99 | 0.03 | |||||
| GLSR | 2.52 | 1.03-6.1 | 0.04 | |||||
| GCSR | 4.5 | 1.3-15.6 | 0.01 | |||||
| Swift, et al. | 2017 | 576 | 1.5 | RVESV | 1.217 | (risk of mortality) | 1.061-1.539 | 0.005 |
| PA RAC | 0.762 | 0.623-0.932 | 0.008 | |||||
C.I., confidence interval; FWHM, full width at half maximum; GCSR, global circumferential strain rate; GLS, global longitudinal strain; GLSR, global longitudinal strain rate; LVEDVI, left ventricular end-diastolic volume index; LVESVI, left ventricular end-systolic volume index; PA RAC, pulmonary artery relative area change; PTT, pulmonary transit time; RVEDVI, right ventricular end-diastolic volume index; RVEF, right ventricular ejection fraction; RVESV, right ventricular end-diastolic volume; RVESVI, right ventricular end-systolic volume index; SVI, stroke volume index.
Major study results for demonstrating diagnostic performance of non-time-resolved and time-resolved CE-MR angiography for patients undergoing PTE screening on a per-patient basis
| Authors | Year | No. of patients | Field strength (T) | Method(s) | Gold standard | SE (%) | SP (%) |
|---|---|---|---|---|---|---|---|
| Meaney, et al. | 1997 | 30 | 1.5 | Non-time-resolved 3D CE-MR angiography | Pulmonary DSA | 75-100 | 95-100 |
| Gupta, et al. | 1999 | 36 | 1.5 | Non-time-resolved 3D CE-MR angiography | Pulmonary DSA | 85 | 96 |
| Oudkerk, et al. | 2002 | 141 | 1.5 | Non-time-resolved 3D CE-MR angiography | Pulmonary DSA | 77 | 98 |
| Ohno et al. | 2004 | 48 | 1.5 | Time-resolved 3D CE-MR angiography | Pulmonary DSA | 92 | 94 |
| Kluge, et al. | 2006 | 62 | 1.5 | Real-time MR imaging used True FISP, non-time-resolved 3D CE-MR angiography and dynamic 3D CE-perfusion MR imaging | 16-detector row CT angiography | 81 | 100 |
| Stein, et al. | 2010 | 371 | 1.5 and 3 | 3D CE-MR angiography | Combination of various tests | 78 | 99 |
CE, contrast enhanced; FISP, fast imaging with steady-state precession; PTE, pulmonary thromboembolism; SE, sensitivity; SP, specificity.