Abstract
In pediatric thoracic CT, respiratory motion is generally treated as a motion artifact degrading the image quality. Conversely, respiratory motion in the thorax can be used to answer important clinical questions, that cannot be assessed adequately via conventional static thoracic CT, by utilizing four-dimensional (4D) CT. However, clinical experiences of 4D thoracic CT are quite limited. In order to use 4D thoracic CT properly, imagers should understand imaging techniques, radiation dose optimization methods, and normal as well as typical abnormal imaging appearances. In this article, the imaging techniques of pediatric thoracic 4D CT are reviewed with an emphasis on radiation dose. In addition, several clinical applications of pediatric 4D thoracic CT are addressed in various thoracic functional abnormalities, including upper airway obstruction, tracheobronchomalacia, pulmonary air trapping, abnormal diaphragmatic motion, and tumor invasion. One may further explore the clinical usefulness of 4D thoracic CT in free-breathing children, which can enrich one's clinical practice.
Respiratory motion artifacts often degrade image quality of three-dimensional (3D) static thoracic CT in free-breathing children. To decrease the artifacts, general anesthesia with intubation (1), controlled ventilation (2), or respiratory triggering (34) may be used. Conversely, respiratory motion during multi-phase respiratory dynamic, the so-called four-dimensional (4D) CT scanning actually can be used to answer clinical questions. 4D CT imaging technique is widely used in perfusion CT imaging (5) and radiation oncology (6). As a preclinical study, 4D CT dataset has been used to generate lung ventilation imaging (7). However, its applications in thoracic imaging are quite limited and generally include the evaluation of airways and diaphragms (8910111213141516). The high radiation dose from retrospectively respiratory-gated 4D thoracic CT (8) deems the imaging technique inappropriate in diagnostic pediatric imaging. Hence, 4D CT without respiratory gating should be used in children (910111213141516). Moreover, the radiation dose of clinically indicated pediatric 4D thoracic CT should be optimized by utilizing various radiation dose reduction techniques (17). In this review, optimal pediatric 4D thoracic CT imaging techniques are first described and several clinical applications, including upper airway obstruction, tracheobronchomalacia, pulmonary air trapping, and diaphragmatic motion abnormalities, are subsequently illustrated with typical clinical examples.
Four-dimensional thoracic CT scanning is defined as multiple consecutive 3D thoracic CT data acquisitions with the same longitudinal scan range, and without CT table movement throughout the respiratory cycle. Although all or some of the pediatric patients were intubated and their respiratory rates were artificially manipulated (40/min) in two 4D pediatric thoracic CT studies (914), 4D CT was generally acquired during free breathing (1011121316). Scan time of 4D thoracic CT should be adjusted to include at least one respiratory cycle. In pediatric patients, the scan time was varied in the range of 2.0–4.6 seconds, depending on patients' respiratory rates (9101112131416). The longitudinal coverage of 4D CT is largely in the range of 3.8 cm (64 × 0.6 mm)–16 cm (320 × 0.5 mm or 256 × 0.625 mm) depending on detector configurations of the CT scanners. In our institution, 4D CT is performed with a second-generation dual-source CT scanner (SOMATOM Definition Flash; Siemens Healthineers, Forchheim, Germany). In other institutions, a 320-detector row CT scanner (Aquilion ONE; Canon Medical Systems, Otawara, Japan) was frequently used for pediatric 4D thoracic CT (91314). Considering the differences in hardware and software, imaging parameters of pediatric 4D thoracic CT should be individually optimized for a specific CT scanner.
Two types of scan modes, i.e., intermittent and continuous modes, are available for 4D CT scanning in the scanner (SOMATOM Definition Flash) (Fig. 1). The differences between the two scan modes are the phase numbers (six vs. nine in 2 seconds) and the presence or absence of inter-phase time intervals (approximately 123-msec interval vs. no interval). Other imaging parameters are the same as follows: 64 × 0.6 mm slices, a 0.75-mm slice width, a 0.4-mm reconstruction interval, a z-axis coverage of 3.8 cm, a temporal resolution of 210 msec, and total scan time of 2 seconds. Because the dose-length product value of the continuous mode is four-times higher than that of the intermittent mode at the same tube voltage and current setting (Fig. 1), the intermittent mode is used for pediatric thoracic 4D CT to reduce radiation dose. The radiation dose difference between the two scan modes is attributable to the 180° partial scan in the intermittent mode and the 360° full scan in the continuous mode, in addition to the difference in the number of phases. Six phases in 2 seconds (three phases per second) in the intermittent mode usually include more than one respiratory cycle in young children, and hence the qualitative evaluation of pediatric 4D thoracic CT is feasible (16). Such information regarding the number of phases per second is lacking in other pediatric 4D thoracic CT studies. On the other hand, 4D thoracic CT using a 320-slice CT scanner was performed with image acquisition of six phases per second in approximately 7 seconds to cover two respiratory cycles in eight adult patients with lung cancer (18). Such an adult protocol delivering high radiation dose should be modified to a pediatric protocol with particular attention to radiation dose.
Low radiation dose settings with diagnostic image quality is generally possible in pediatric 4D thoracic CT, because of the inherently high air-tissue contrast in the thorax. To maintain sufficient image quality among patients with different body habitus, a body size-adaptive protocol should be used in pediatric 4D thoracic CT, as in the other pediatric CT imaging techniques. In our institution, radiation dose of pediatric thoracic CT is individually determined, based on the cross-sectional area and mean body density measured on an axial CT image obtained approximately 1–2 cm above the dome of the liver (19). Other body size indices, such as body weight and body mass index, are used to adjust radiation dose of pediatric 4D thoracic CT in others. To avoid high image noise at 70 or 80 kV, 100 kV is used for pediatric 4D thoracic CT in our institution, while others utilize 80 kV partly for the combined evaluation of vascular airway compression, after the intravenous administration of iodinated contrast agent (91314). It is noteworthy that the lower limit of radiation dose at 100 kV is present in the second-generation dual-source CT, and radiation dose, therefore, cannot be reduced below 1.2 mGy in volume CT dose index, in majority of the young children (16). The reported effective dose values of pediatric 4D thoracic CT are in the range of 0.4–3.0 mSv (91314). Because of a limited longitudinal coverage (approximately 3.8 cm), the scan position of 4D thoracic CT should be carefully adjusted on the scout image to include target structures. On the contrary, the scan range needs to be shortened for young children in order to avoid unnecessary radiation exposure, if the scanners with 16-cm longitudinal coverage are utilized.
In the second-generation dual-source scanner, an iterative reconstruction algorithm is not available for 4D CT. However, if available, an iterative reconstruction algorithm should be used for 4D CT. The scanned thin axial 4D datasets (95 images/phase × 6 phases = 570 images) are transferred to a workstation (Leonardo; Siemens Healthineers) for dynamic multiplanar and 4D evaluations utilizing a dedicated 4D post-processing software (Inspace; Siemens Healthineers).
Normal and abnormal dynamic appearances of the pediatric upper airway can be evaluated with 4D CT, which is one of the most common clinical applications in newborns and infants (91011121314). Generally, the uvula, tongue, epiglottis, vocal cord, and pyriform sinuses serve as anatomic landmarks for image evaluation. Upper airway dimension is variably distended during inspiration and variably collapsed during expiration, depending on the amount of airflow and the strength of the supporting soft tissue structures. Intermittent velopharyngeal closure separating the oral cavity from the nasal cavity may be observed on 4D CT as a normal dynamic finding (Fig. 2). Therefore, 4D CT has the potential to assess velopharyngeal insufficiency caused by various disorders such as cleft palate and neuromuscular disorders. In upper airway obstruction, 4D CT is particularly useful to simply distinguish a dynamic obstructive lesion (Fig. 3) from a fixed one (Fig. 4), which is crucial for treatment planning. Glossoptosis, defined as abnormal posterior displacement of the tongue and commonly seen in children with micrognathia (particularly in Pierre Robin syndrome), Down syndrome, and neurologic impairment, may cause oropharyngeal obstruction and obstructive sleep apnea. The diagnosis of glossoptosis (Fig. 5) can be made with neck lateral view, fluoroscopy, 4D CT, and endoscopy. Radiologists are usually not familiar with normal (Fig. 6) and abnormal laryngeal motion, and hence, a learning curve is necessary for 4D CT evaluation in patients with suspected laryngomalacia. Laryngomalacia, the most common cause of inspiratory stridor in the first year of life, is caused by excessive inward collapse of the supraglottic structures. The diagnosis and severity of laryngomalacia can be assessed with fiberoptic nasolaryngoscopy and 4D CT (Fig. 7). It is usually self-limited, but surgical treatment is necessary in a small subset of patients with severe laryngomalacia. 4D CT may also be preferably used to evaluate treatment response in laryngomalacia because of its noninvasive nature (Fig. 7).
Tracheobronchomalacia is defined as an excessive expiratory collapse of the tracheobronchial tree. In addition to the primary type, the secondary type of tracheobronchomalacia may develop as a result of several pathophysiologic mechanisms such as tissue injury, inflammation, and longstanding extrinsic compression. Tracheomalacia is commonly associated with tracheoesophageal fistula and therefore should be strongly suspected and evaluated for, in patients suffering from postsurgical respiratory symptoms. Paired end-inspiratory/end-expiratory CT (1), dynamic expiratory CT, cine CT (20), or the more recent 4D CT (91011121314) (Fig. 8) may be used for the diagnosis of tracheomalacia. Compared to other imaging methods, the evaluation with 4D CT can be performed during free breathing, regarded as a more physiologic state, without additional respiratory maneuvers or procedures. Moreover, its gapless 4D imaging capability can overcome the limitations of cine CT, including difficulties in evaluating longitudinally moving and obliquely coursing structures. As a result, 4D CT allows the accurate evaluation of the extent and severity of tracheomalacia, and it makes the diagnosis of bronchomalacia feasible. Traditionally, an empirical cut-off value of 50% in a reduction of cross-sectional area has been used for the diagnosis of tracheomalacia, not only in adults, but also in children (1). However, its diagnostic value is compromised by the fact that the tracheal collapsibility in normal subjects may also be greater than 50%. In a comparative study between 27 children with bronchoscopy-proven tracheomalacia and 320 control patients (20), a diagnostic cut-off value of 31.6% in tracheal collapsibility on free-breathing cine CT was recently suggested with 96.3% sensitivity, 97.2% specificity, and 97.1% accuracy for the diagnosis of tracheomalacia. In line with the result, tracheal collapsibility on free-breathing 4D CT was less than 34% in normal pediatric patients and in the range of 43–90% in patients with malacic airways (13). One of the current problems is that time-consuming manual airway tracing on hundreds to thousands of 4D CT images is necessary to evaluate airway collapsibility. Therefore, to enhance the clinical utility of 4D CT for the diagnosis of tracheobronchomalacia, it is imperative that an automatic or semiautomatic quantitative evaluation algorithm needs to be developed.
Similar to free-breathing cine CT (21), densitometric analysis of the lung parenchyma is feasible with free-breathing 4D CT. Consequently, we can easily differentiate a lung lesion with air trapping, from a normally ventilated lung region on 4D volume-rendered CT images (Fig. 9). It may be interesting to note that we may accentuate the visualization of lung ventilation, which is normally greater in the posterior dependent lungs, by freely adjusting the opacity of 4D CT images. Nevertheless, 4D CT-based lung ventilation imaging using a deformable image registration algorithm is desirable for the accurate and reproducible quantitative evaluation of regional ventilation function (22).
For diaphragm motion analysis, fluoroscopy, sonography, and magnetic resonance imaging (MRI) have all been used (1123). M-mode and B-mode sonography is most commonly used for diaphragmatic motion analysis in children, but the imaging method is limited by operator dependency and obscured acoustic window (24). A recent study (16) demonstrates that the diaphragmatic motion analysis and the densitometric analysis of adjacent lung parenchyma are feasible with free-breathing 4D CT, and the diagnosis of diaphragm paralysis or palsy is attainable in select children. In the literature, the normal diaphragm motion on M-mode sonography is defined as the respiratory excursion greater than 4 mm and the difference of the excursions between both sides less than 50%, irrespective of patient size and the degree of lung inflation (24). The lack of body size- and respiration-adapted normative data substantially hampers the accurate analysis of diaphragm motion in children. Hence, it is imperative to establish such normal data. In addition, a mobile CT unit capable of 4D CT scanning should be available to be used routinely in intensive care units.
To evaluate chest wall and aortic invasion by thoracic neoplasms pre-operatively, respiratory dynamic MRI has been used (2526). Dynamic 4D CT may also be used for this purpose. In the initial clinical experience in a small number of adult patients with lung cancer (18), 4D CT could reveal differential movements between the tumor and the adjacent structures in seven patients without direct invasion, as well as a small area of fixation due to superficial invasion of the adventitia of the superior vena cava in one case. There has been no such 4D CT study in children. Further clinical experiences are warranted to substantiate the clinical value of 4D CT in identifying pre-operative thoracic tumor invasion.
The most fundamental limitation in 4D thoracic CT evaluation is that normal data and diagnostic criteria are not established yet. Another potential limitation is that radiation dose of 4D CT may be increased not only for a longer scan range to include the entire thorax, but also for the increased number of the evaluated respiratory phases. Consequently, the radiation dose of 4D CT needs to be further reduced by utilizing a new reconstruction algorithm such as a penalized weighted least square smoothing method allowing reduced image noise and preserved spatial resolution (27). Because image degradation may occur at high respiratory rates and great respiratory excursions, a higher temporal resolution of 4D CT is desirable under the circumstances. Post-processing software dedicated for free-breathing 4D thoracic CT is vital to enhance its clinical utility. Compared to conventional CT scanning, the markedly increased demand for image storage and workload, proportional to the tremendously increased number of 4D CT images, should be considered. Relatively short longitudinal scan coverage, e.g., 3.8 cm in a 64-detector scanner, may be limited in evaluating the whole thorax with 4D CT imaging, but it is feasible in small children. When 4D CT scan is performed with intravenous injection of iodinated contrast agent, conscious sedation is usually required to maintain satisfactory image quality in young children. In contrast, sedation may be reduced or avoided in a non-contrast 4D CT scan.
References
1. Lee EY, Mason KP, Zurakowski D, Waltz DA, Ralph A, Riaz F, et al. MDCT assessment of tracheomalacia in symptomatic infants with mediastinal aortic vascular anomalies: preliminary technical experience. Pediatr Radiol. 2008; 38:82–88.
2. Long FR, Castile RG, Brody AS, Hogan MJ, Flucke RL, Filbrun DA, et al. Lungs in infants and young children: improved thin-section CT with a noninvasive controlled-ventilation technique--initial experience. Radiology. 1999; 212:588–593.
3. Goo HW, Allmendinger T. Combined electrocardiography- and respiratory-triggered CT of the lung to reduce respiratory misregistration artifacts between imaging slabs in free-breathing children: initial experience. Korean J Radiol. 2017; 18:860–866.
4. Goo HW. Combined prospectively electrocardiography- and respiratory-triggered sequential cardiac computed tomography in free-breathing children: success rate and image quality. Pediatr Radiol. 2018; 48:923–931.
5. Lin L, Bivard A, Krishnamurthy V, Levi CR, Parsons MW. Whole-brain CT perfusion to quantify acute ischemic penumbra and core. Radiology. 2016; 279:876–887.
6. Moorees J, Bezak E. Four dimensional CT imaging: a review of current technologies and modalities. Australas Phys Eng Sci Med. 2012; 35:9–23.
7. Jahani N, Choi S, Choi J, Iyer K, Hoffman EA, Lin CL. Assessment of regional ventilation and deformation using 4D-CT imaging for healthy human lungs during tidal breathing. J Appl Physiol (1985). 2015; 119:1064–1074.
8. Wielpütz MO, Eberhardt R, Puderbach M, Weinheimer O, Kauczor HU, Heussel CP. Simultaneous assessment of airway instability and respiratory dynamics with low-dose 4D-CT in chronic obstructive pulmonary disease: a technical note. Respiration. 2014; 87:294–300.
11. Goo HW. Advanced functional thoracic imaging in children: from basic concepts to clinical applications. Pediatr Radiol. 2013; 43:262–268.
12. Goo HW, Drubach L, Lee EY. Imaging techniques. In : Coley BD, editor. Caffey's pediatric diagnostic imaging. 12th ed. Philadelphia, PA: Elsevier;2013. p. 506–518.
13. Tan JZ, Crossett M, Ditchfield M. Dynamic volumetric computed tomographic assessment of the young paediatric airway: initial experience of rapid, non-invasive, four-dimensional technique. J Med Imaging Radiat Oncol. 2013; 57:141–148.
14. Greenberg SB, Dyamenahalli U. Dynamic pulmonary computed tomography angiography: a new standard for evaluation of combined airway and vascular abnormalities in infants. Int J Cardiovasc Imaging. 2014; 30:407–414.
15. Kwong Y, Mel AO, Wheeler G, Troupis JM. Four-dimensional computed tomography (4DCT): a review of the current status and applications. J Med Imaging Radiat Oncol. 2015; 59:545–554.
16. Goo HW. Four-dimensional CT of the diaphragm in children: initial experience. Korean J Radiol. 2018; 19:111–118.
17. Goo HW. CT radiation dose optimization and estimation: an update for radiologists. Korean J Radiol. 2012; 13:1–11.
18. Choong CK, Pasricha SS, Li X, Briggs P, Ramdave S, Crossett M, et al. Dynamic four-dimensional computed tomography for preoperative assessment of lung cancer invasion into adjacent structures. Eur J Cardiothorac Surg. 2015; 47:239–243. discussion 243.
19. Goo HW. Individualized volume CT dose index determined by cross-sectional area and mean density of the body to achieve uniform image noise of contrast-enhanced pediatric chest CT obtained at variable kV levels and with combined tube current modulation. Pediatr Radiol. 2011; 41:839–847.
20. Goo HW. Free-breathing cine CT for the diagnosis of tracheomalacia in young children. Pediatr Radiol. 2013; 43:922–928.
21. Goo HW, Kim HJ. Detection of air trapping on inspiratory and expiratory phase images obtained by 0.3-second cine CT in the lungs of free-breathing young children. AJR Am J Roentgenol. 2006; 187:1019–1023.
22. Kipritidis J, Hofman MS, Siva S, Callahan J, Le Roux PY, Woodruff HC, et al. Estimating lung ventilation directly from 4D CT Hounsfield unit values. Med Phys. 2016; 43:33.
23. Chavhan GB, Babyn PS, Cohen RA, Langer JC. Multimodality imaging of the pediatric diaphragm: anatomy and pathologic conditions. Radiographics. 2010; 30:1797–1817.
24. Epelman M, Navarro OM, Daneman A, Miller SF. M-mode sonography of diaphragmatic motion: description of technique and experience in 278 pediatric patients. Pediatr Radiol. 2005; 35:661–667.
25. Akata S, Kajiwara N, Park J, Yoshimura M, Kakizaki D, Abe K, et al. Evaluation of chest wall invasion by lung cancer using respiratory dynamic MRI. J Med Imaging Radiat Oncol. 2008; 52:36–39.