Feasibility of chest spiral 3D ultrashort echo time magnetic resonance imaging for intrathoracic metastasis work-up in breast cancer
Highlight box
Key findings
• Chest spiral three-dimensional (3D) ultrashort echo time (UTE) volume interpolated breath-hold examination magnetic resonance imaging (MRI) detected pulmonary nodules in breast cancer patients with a 62.8% overall nodule detection rate and a 93.9% solid nodule (≥5 mm) detection rate, which was clinically significant and produced images of acceptable quality.
What is known and what is new?
• A respiratory gating spiral 3D UTE sequence enables lung MRI to be used in clinical practice and provides high spatial-resolution images with reasonable scan times.
• A chest spiral 3D UTE sequence could be useful for evaluating pulmonary metastasis and significant lymph nodes in axillary area in patients with breast cancer.
What is the implication, and what should change now?
• Preoperative breast MRI, including a chest spiral 3D UTE sequence, could be used to evaluate breast cancer, axillary lymph nodes, and intrathoracic metastasis simultaneously without radiation exposure.
Introduction
Chest computed tomography (CT) is routinely performed to evaluate intrathoracic metastasis in patients with breast cancer. However, CT examinations require ionizing radiation and pose carcinogenic risks (1). In addition, repeat CT conducted to follow up small nodules incidentally found by chest CT results in cumulative radiation exposure (1). On the other hand, pulmonary imaging by magnetic resonance imaging (MRI) is limited by low proton density, rapid signal decay, and sensitivity to respiratory and cardiac motions in lung tissues (1). A short echo time (TE) is essential for lung MRI sequences because of the short T2 and T2* values of lung tissues (2,3).
The recent development of the ultrashort echo time (UTE) MRI sequence enables lung MRI to be used in clinical practice (4-13), but lung MRI is disadvantaged by a long scan time due to inefficient k-space coverage (4,6,14). To overcome this limitation, we applied three-dimensional (3D) stack-of-spirals (spiral) acquisition to improve readout efficiency (15-17). Several studies have recently demonstrated that spiral 3D UTE sequences enable high-resolution morphological imaging of lungs and pulmonary nodule detection with high sensitivity (1,18,19). The purpose of this study was to investigate the feasibility of chest spiral 3D UTE volume interpolated breath-hold examination (VIBE) MRI to detect intrathoracic metastasis in breast cancer patients. We present this article in accordance with the STROBE reporting checklist (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1006/rc).
Methods
Study design and subjects
This retrospective study was conducted using a prospectively collected database to investigate the feasibility of utilizing chest spiral 3D UTE VIBE MRI to detect intrathoracic metastasis in breast cancer patients that registered consecutively for preoperative staging work-up at Pusan National University Hospital between February and July 2019. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study protocol was approved by the institutional review board of Pusan National University Hospital (IRB No. 2306-001-127), and informed consent was obtained from all individual participants. The modified breast MRI protocol used included a spiral 3D UTE VIBE sequence of the chest to evaluate intrathoracic metastasis during preoperative work-up. One hundred and fourteen female breast cancer patients underwent preoperative modified breast MRI. The exclusion criteria were as follows: the patient who did not undergo chest CT (n=20) and an interval of >30 days between chest CT and MRI (n=1). Eventually, 93 female patients were included in this study (Figure 1).
Magnetic resonance (MR) data acquisition
All patients underwent a respiratory-gated chest spiral 3D UTE VIBE sequence in the prone position during routine breast MRI using a 3-T MRI system (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany). This sequence was obtained at a delay of 15 minutes after injecting a bolus gadobutrol (0.1 mmol/kg, Gadovist; Bayer Schering Pharma, Berlin, Germany) at a rate of 2 mL/s and a subsequent 20-mL saline flush. The parameters used were as follows: repetition time (TR) 3.4 ms/TE 0.1 ms, flip angle 5° degree, voxel size 1×1×1 mm3, reconstruction matrix 320×320, and a field of view (FOV) of 400 mm × 400 mm in the coronal plane. Coronal UTE images were further reformatted as axial images by multiplanar reformatting.
Chest CT data acquisition
All CT images were obtained using a 256-row multi-detector CT scanner (Revolution CT, GE Medical Systems, Milwaukee, WI, USA) with contrast medium [100 mL of contrast medium (Xenetix 300; Guerbet); injection rate 2 mL/s], and images were obtained from the lung apex to the diaphragm, as was performed for MRI coverage. The following imaging parameters were applied: slice thickness =2.5 mm, collimation =64×0.6 mm, voltage =120 kVp, tube current setting =50 mA, FOV =329×329, and reconstruction interval =1.25 mm at a helical pitch of 1. The acquisition was performed during breath holding at the end of full inspiration. Lung and mediastinal windows were set at level −500, width 1,300, and level 40, width 400, respectively.
Image analysis
Two chest radiologists (with 10 and 20 years of experience) independently evaluated 3D spiral UTE VIBE MR image qualities for intrapulmonary vessels, bronchial depiction, artifact/noise, and overall image quality using a five-point scoring system. The scoring system used for intrapulmonary vessels and bronchial depiction was: 1, indistinguishable lobar level; 2, visible lobar vessels/bronchi; 3, visible segmental vessels/bronchi; 4, visible subsegmental vessels/ bronchi; and 5, visible sub-subsegmental vessels/bronchi, and the scoring system used for artifact/noise and overall image quality was: 1, unacceptable; 2, poor; 3, fair; 4, good; and 5, excellent.
The two readers reviewed chest CT images by consensus to evaluate pulmonary nodules, other lung abnormalities, and significant lymph nodes (LNs) and independently reviewed 3D spiral UTE VIBE MR images two weeks after CT reviews to prevent recall influencing 3D spiral UTE VIBE MR assessments. The sizes, compositions, and lobar locations of pulmonary nodules were evaluated on chest CT and MR images. Nodule size was defined as mean nodule diameter as determined by the two readers, and lobar location as one of the following five lobes: right upper, right middle, right lower, left upper, or left lower. Using chest CT as the reference standard, the detection rate of pulmonary nodules using the UTE sequence was calculated. LNs with a short axis diameter of >1 cm or cortical thickening were considered significant. The short axis diameter and location (axilla, internal mammary, supraclavicular, and mediastinal area) of significant LNs were assessed on chest CT and MR images. Disagreements between the two readers were resolved by consensus.
Statistical analysis
Inter-observer agreements for the semi-quantitative analysis of image quality on spiral 3D UTE MRI were analyzed using the kappa statistic. The detection rates of pulmonary nodules and lung abnormalities on spiral 3D UTE MR images were evaluated using chest CT images as the reference standard, and diagnostic accuracy of the UTE sequence for predicting LN metastasis was determined using pathologic diagnosis as the reference standard. The analyses were performed using SPSS version 26.0 (IBM Corp., Armonk, NY, USA), and statistical significance was accepted for P values <0.05.
Results
Patient characteristics
Ninety-three women (mean age, 52.5 years: age range, 32–80 years) were enrolled in the study; baseline characteristics of the enrolled patients are detailed in Table 1. Mean time between CT and MRI was 5.2 days (range, 0–28 days).
Table 1
Characteristics | Values |
---|---|
Age, years, median [range] | 52.5 [32–80] |
Cancer type, n | |
Ductal carcinoma in situ | 9 |
Invasive cancer | 84 |
Invasive ductal carcinoma | 72 |
Invasive lobular carcinoma | 4 |
Other | 8 |
Interval between CT and MRI, days, median [range] | 5.2 [0–28] |
CT, computed tomography; MRI, magnetic resonance imaging.
Semi-quantitative analysis of image quality
Semi-quantitative analysis results of the image quality of spiral 3D UTE VIBE MRI for the 93 patients are presented in Figure 2. Intrapulmonary vessels were visible up to the sub-subsegmental [94.6% (88/93)] or subsegmental [5.4% (5/93)] levels on spiral 3D UTE MR images, and bronchial walls up to the sub-subsegmental [9.7% (9/93)], subsegmental [78.5% (73/93)], or segmental [10.8% (10/93)] levels. Images of 95.7% (89/93) and 98.9% (92/93) of patients were better than fair with respect to artifact/noise and overall image quality.
Semi-quantitative analysis of spiral 3D UTE MR image quality showed all inter-observer agreements were statistically significant (P<0.05) and were excellent for intrapulmonary vessels (k=0.795) and good for bronchial depiction, artifact/noise, and overall image quality (k=0.601, 0.624, and 0.649, respectively).
Characteristics and detection rates of pulmonary nodules
Pulmonary nodule measurements obtained by spiral 3D UTE VIBE MRI and chest CT are summarized in Table 2. Ninety-four pulmonary nodules were identified by chest CT; 13 ground glass opacity nodules (GGNs) (mean, 4.5 mm; range, 1.2–7.3 mm) and 81 solid nodules (mean, 4.9 mm; range, 1.6–13.7 mm). Of the 81 solid nodules, 14 were calcified, and 67 were non-calcified.
Table 2
Parameters | Spiral 3D UTE | CT (reference) | Detection rate (%) |
---|---|---|---|
No. of overall nodules detected | 59 | 94 | 62.8 |
No. of GGNs | 0 | 13 | 0 |
Mean diameter, mm | 0.0 (0.0–0.0) | 4.5 (1.2–7.3) | |
No. of solid nodules | 59 | 81 | 72.8 |
Mean diameter, mm | 5.0 (1.8–14.2) | 4.9 (1.6–13.7) | |
Nodule composition | |||
Calcified | 9 | 14 | 64.3 |
Non-calcified | 50 | 67 | 74.6 |
Nodule size | |||
<5 mm | 28 | 48 | 58.3 |
≥5 and <10 mm | 26 | 28 | 92.9 |
≥10 mm | 5 | 5 | 100 |
Nodule location | |||
Right upper lobe | 12 (5, calcified) | 19 (7, calcified) | 63.2 |
Right middle lobe | 8 (0, calcified) | 11 (1, calcified) | 72.7 |
Right lower lobe | 14 (3, calcified) | 20 (4, calcified) | 70.0 |
Left upper lobe | 13 (1, calcified) | 15 (1, calcified) | 86.7 |
Left lower lobe | 12 (0, calcified) | 16 (1, calcified) | 75.0 |
Data are presented as numbers or mean (range). 3D, three-dimensional; UTE, ultrashort echo time; CT, computed tomography; GGN, ground glass opacity nodule.
The overall nodule detection rate of spiral 3D UTE MRI was 62.8% (59/94) (Table 2, Figure 3). No GGN detected by CT was identified by spiral 3D UTE MRI (Figure 4). Fifty-nine (72.8%) of the 81 solid nodules detected by CT were detected by spiral 3D UTE MRI. All five solid nodules ≥10 mm in diameter were identified by spiral 3D UTE MRI (100.0%). Of 28 solid nodules with a diameter of 5–10 mm, 26 (92.9%) nodules were detected by spiral 3D UTE MRI. The detection rate for solid nodules of <5 mm in diameter was 58.3% (28/48). Five (35.7%) of the 14 calcified nodules were not detected by spiral 3D UTE VIBE MRI; all 5 had a diameter of <3 mm.
Seventeen (85.0%) of 20 other lung abnormalities detected by CT were detected by spiral 3D UTE MRI. Bronchiectasis [100.0% (2/2)], bronchiolitis [100.0% (2/2)], radiation fibrosis [100.0% (1/1)], subsegmental atelectasis or atelectasis [100.0% (6/6)], subinvoluted thymus [100.0% (1/1)], anterior mediastinal nodule [100.0% (1/1)], non-specific interstitial pneumonia [100.0% (1/1)] were all detected on spiral 3D UTE MRI. However, old pulmonary tuberculosis [60.0% (3/5)] and pulmonary emphysema [0.0% (0/1)] were not detected by 3D UTE MRI.
Assessment of LN metastasis
Chest CT detected 69 LNs of mean diameter of 9.0±4.0 mm (range, 3.0–22.0 mm), while spiral 3D UTE MRI detected 70 LNs of mean diameter 9.3±4.5 mm (range, 3.0–21.0 mm) (Figure 5). Of the 69 LNs detected by chest CT, 67 were located in the axillary area, one in the internal mammary area, and one in the supraclavicular area. Similarly, of the LNs detected by spiral 3D UTE MRI, 68 were located in the axillary area, one in the internal mammary area, and one in the supraclavicular area.
Of the 79 patients with pathologic diagnoses of an axillary LN, 24 patients had axillary LN metastasis. The sensitivity, specificity, positive predictive value, and negative predictive value for axillary LN metastasis of CT and spiral 3D UTE MRI were 41.7% (10/24), 90.9% (50/55), 66.7% (10/15), 78.1% (50/64) and 41.7% (10/24), 89.1% (49/55), 62.5% (10/16), and 77.8% (49/63), respectively. Thus, the diagnostic accuracy of spiral 3D UTE MRI for predicting axillary LN metastasis was similar to that of chest CT.
Discussion
The lung is one of the most common metastatic sites in breast cancer patients. In particular, 60–70% of metastatic breast cancer patients who eventually died are diagnosed with lung metastasis (20). Thus, breast cancer patients should undergo repeated chest CTs to check for pulmonary metastasis. We investigated the feasibility of chest spiral 3D UTE VIBE MRI in breast cancer patients with respect to the detection of intrathoracic metastasis. Our results are summarized as follows: (I) intrapulmonary vessels and bronchial walls were visible up to the sub-subsegmental and sub-subsegmental levels, respectively, on spiral 3D UTE MR images; (II) 95.7% and 98.9% of patients had spiral 3D UTE MR images of better than fair quality for artifact/noise and overall image quality; (III) the detection rate of spiral 3D UTE MRI for all CT detected pulmonary nodules was 62.8% (59/94) and for solid nodules ≥5 mm in diameter was 93.9% (31/33); (IV) Significant LNs in the axillary area were similarly detected by spiral 3D UTE MRI and chest CT.
As regards image quality, intrapulmonary vessels and bronchial walls were consistently visible on spiral 3D UTE images to the sub-subsegmental level [94.6% (88/93)] and subsegmental level [88.2% (82/93)]. Regarding artifact/noise and overall image quality, spiral 3D UTE MR image qualities were better than fair [95.7% (89/93)] and 98.9% (92/93), respectively. These results concur with those of Cha et al. (1), who also found spiral 3D UTE MRI consistently visualized intrapulmonary vessels and bronchial walls at the sub-subsegmental [96.9% (31/32)] and subsegmental [90.6% (29/32)] levels. Additionally, 93.8% (30/32) and 93.8% (30/32) of patients had images of above fair quality for artifact/noise and overall image quality. Furthermore, analysis of images obtained using a breath-hold T1-weighted gradient-echo sequence showed the visibility of intrapulmonary vessels was 80.0% (8/10) at the sub-subsegmental level, and no case showed visibility of the bronchial wall at up to the subsegmental level (21). These results indicate that the spiral 3D UTE sequence can provide high-quality images of the lungs in semi-quantitative analysis, which is considered highly beneficial for lung evaluations.
The overall detection rate for pulmonary nodules by spiral 3D UTE MRI was 62.8%, and of these, 72.8% were solid nodules; no GGNs were found. Cha et al. reported an overall nodule detection rate for spiral 3D UTE MRI of 86%, which was superior to our result of 62.8%. However, we attribute this difference to the exclusion of CT-detected lung calcifications and fissural nodules from their analysis (1). In our study, the detection rate of spiral 3D UTE MRI for solid nodules of ≥5 mm was 93.9%, and that of solid nodules of <5 mm was 58.3%. For solid nodules, previous studies have reported detection rates of 60% to 90% for 5 to 8 mm diameter lesions and detection rates close to 100% for ≥8 mm lesions (22-24). Burris et al. reported a pulmonary nodule detection rate of 17% for nodules >2 mm but <4 mm in diameter and 83% for nodules ≥4 mm in diameter (83%) (11). Our results largely mirror these findings. Different respiratory states during imaging acquisition may explain the lower detection rates of MRI as chest CT is typically performed at end inspiration and MRI at end expiration, which could result in inadequate lung expansion during MRI and suboptimal detection of small lung nodules. Fortunately, most nodules of <10 mm present a low malignancy risk and are of particularly low risk when located <10 mm from pleura (25). In the present study, of 14 calcified nodules, 5 (35.7%) were not detected by 3D spiral UTE VIBE MRI, and all were <3 mm in diameter. Thoracic calcifications have various signals on T1- and T2-weighted images, as signal intensities depend on their compositions of aggregates of calcium salts and particle sizes (26). Because calcium salts do not contain mobile protons, they have no signal on MRI, and thus, densely calcified lesions are sometimes reported as having low signal intensity on T1- and T2-weighted images, which means they are difficult to detect by lung MRI (26). However, considering that most calcified nodules are benign, our findings indicate that spiral 3D UTE sequences would be more useful for evaluating pulmonary metastasis in clinical practice.
Significant LNs in the axillary area were similarly detected by chest CT and spiral 3D UTE MRI, but were identified in one case more on spiral 3D UTE sequence. The LNs found in the spiral 3D UTE sequence but not in the chest CT were located at axillary level II and were not detected because their densities were the same as that of surrounding pectoralis muscles by chest CT (Figure 5). Significant LNs in the internal mammary area and supraclavicular area were similarly detected by chest CT and spiral 3D UTE MRI. Furthermore, the diagnostic accuracies of the modalities for detecting axillary LN metastasis were similar.
This study has several limitations. First, it is limited by its single-center, retrospective design, although data were collected prospectively. Second, correlations between imaging findings and pathologic nodule results were not possible. Instead, chest CT was performed at <30 days after MRI, and CT results were used as reference standards. However, the differentiation of benign and malignant nodules by even chest CT remains challenging. Third, we included patients with newly diagnosed breast cancer who underwent preoperative breast MRI, and thus pulmonary metastasis was only observed in one patient.
Conclusions
In conclusion, we found that chest spiral 3D UTE VIBE MRI detected pulmonary nodules in breast cancer patients with a 62.8% overall nodule detection rate, a 72.8% solid nodule detection rate, and a 93.9% solid nodule (≥5 mm) detection rate, which was clinically significant and produced images of acceptable quality. Therefore, this study shows that preoperative breast MRI, including a chest spiral 3D UTE sequence, could be used to evaluate breast cancer, axillary LNs, and intrathoracic metastasis simultaneously without radiation exposure, potentially offering a viable alternative to chest CT in patients with breast cancer. However, the low detection rate of chest spiral 3D UTE MRI for GGNs and its limited detection of calcified nodules require improvement.
Acknowledgments
Funding: This work was supported by
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1006/rc
Data Sharing Statement: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1006/dss
Peer Review File: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1006/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1006/coif). YJJ repots a 2-Year Research Grant from Pusan National University. The other authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study protocol was approved by the institutional review board of Pusan National University Hospital (IRB No. 2306-001-127), and informed consent was obtained from all individual participants.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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