Journal of Thoracic Imaging最新文献

Purpose: To evaluate the ability of radiomics score (RS)-based machine learning to identify moderate to severe coronary artery calcium (CAC) on chest x-ray radiographs (CXR).

Materials and methods: We included 559 patients who underwent a CAC scan with CXR obtained within 6 months and divided them into training (n = 391) and validation (n = 168) cohorts. We extracted radiomic features from annotated cardiac contours in the CXR images and developed an RS through feature selection with the least absolute shrinkage and selection operator regression in the training cohort. We evaluated the incremental value of the RS in predicting CAC scores when combined with basic clinical factor in the validation cohort. To predict a CAC score ≥100, we built an RS-based machine learning model using random forest; the input variables were age, sex, body mass index, and RS.

Results: The RS was the most prominent factor for the CAC score ≥100 predictions (odds ratio = 2.33; 95% confidence interval: 1.62-3.44; P < 0.001) compared with basic clinical factor. The machine learning model was tested in the validation cohort and showed an area under the receiver operating characteristic curve of 0.808 (95% confidence interval: 0.75-0.87) for a CAC score ≥100 predictions.

Conclusions: The use of an RS-based machine learning model may have the potential as an imaging marker to screen patients with moderate to severe CAC scores before diagnostic imaging tests, and it may improve the pretest probability of detecting coronary artery disease in clinical practice.

Purpose: To investigate right ventricular (RV) volume and mass by cardiac magnetic resonance (CMR) and the added value of tissue tracking strain analysis as markers of RV dysfunction in pediatric patients with end-stage renal disease (ESRD) and preserved RV ejection fraction.

Materials and methods: Twenty-five children with ESRD and preserved RVEF (>50%) and 10 healthy control children were enrolled. Tissue tracking CMR was used to assess Global Longitudinal, circumferential (GCS), and radial short and long axes (GRS SAX and GRS LAX) RV strains in the patients group compared with controls. Correlations between strain parameters and other CMR parameters and clinical biomarkers were assessed. Binary logistic regression was used to test the independence of cofounders and detect their significance.

Results: RV end-diastolic volume and mass (RVMi) were significantly higher in patients (97.2±19.3 mL/m 2 and 26.6±7gr/m 2 ) than control (71±7.8 mL/m 2 and 11.9±2 gr/m 2 , P values 0.000). All RV global strain parameters were significantly impaired in patients compared with control (all P values <0.05). RV Global Longitudinal was significantly correlated to LVEF (r=-0.416, P =0.039), LVEDVi (r=0.481, P =0.015), LVMi (r=0.562, P =0.004), and systolic blood pressure index (r=0.586, P =0.002). RV GRS (LAX) was significantly correlated to LV GCS (r=-0.462, P =0.020) and LV GRS (SAX) (r=0.454, P =0.023). GRS (SAX) and GCS demonstrated the highest diagnostic accuracy (area under curve: 0.82 and 0.81) to detect strain impairment. Univariate binary logistic regression with patients versus control as dependent variables identified LVMi, RV end-diastolic volume, RVMi, weight, body surface area, RV GCS, RV GRS (LAX), RV GRS (SAX), LV GCS, and LV GRS (SAX) as significantly correlated to patients with ESRD. When adjusted to other cofounders in the multivariable model, only RVMi remained as an independent significant cofounder (Odds ratio:0.395, P =0.046).

Conclusion: RV global strain, volume, and mass by CMR are markers of RV dysfunction in ESRD pediatric patients with preserved RVEF.

Purpose: The success of cancer screening depends on patient adherence to the screening program. The purpose of this study is to assess how the level of education might affect participants' compliance with screening in the National Lung Screening Trial (NLST).

Materials and methods: Secondary data analyses of the participants in the NLST were performed. A total of 50,104 participants were included in this study. Participants who enrolled in the trial but refused the initial screening were compared with those who completed the screening. A multivariate logistic regression model was used to assess the association between participant noncompliance and education level.

Results: A total of 3712 (7.41%) participants refused lung cancer screening in the NLST. Compared with the reference group, participants with an education level of eighth grade or less (odds ratio [OR]: 2.1, CI: 1.68-2.76), ninth-11th grade (OR: 1.9, CI: 1.7-2.34), high school graduates (OR: 1.3, CI: 1.22-1.54), after high school training (OR: 1.1, CI: 1-1.31), or an associate's degree (OR: 1.2, CI: 1.07-1.36) had significantly higher odds of refusing lung cancer screening. Participants with a bachelor's degree showed no significant association with compliance with screening (OR: 0.9, P = 0.86). Multivariate regression analysis also showed that younger, single, male participants with a longer duration of smoking history had significantly higher odds of refusing the screening.

Conclusion: A lower level of education was significantly associated with refusing lung cancer screening. A strategic targeted approach for this group might be necessary to promote their compliance rate.

Congenital heart diseases affect 1% of all live births in the general population. The prognosis of these children is increasingly improving due to advances in medical care and surgical treatment. Imaging is also evolving rapidly to assess accurately complex cardiac anomalies prenatally and postnatally. Transthoracic echocardiography is the gold-standard imaging technique to diagnose and follow-up children with congenital heart disease. Cardiac computed tomography imaging plays a key role in the diagnosis of children with congenital heart defects that require intervention, due to its high temporal and spatial resolution, with low radiation doses. It is challenging for radiologists, not primarily specialized in this field, to perform and interpret these studies due to the difficult anatomy, physiology, and postsurgical changes. Technical challenges consist of necessary electrocardiogram gating and contrast bolus timing to obtain an optimal examination. This article aims to define indications for pediatric cardiac computed tomography, to explain how to perform and report these studies, and to discuss future applications of this technique.

Purpose: After intubation, a frontal chest radiograph (CXR) is obtained to assess the endotracheal tube (ETT) position by measuring the ETT tip-to-carina distance. ETT tip location changes with neck position and can be determined by assessing the position of the mandible. As the mandible is typically not visualized on standard CXRs, we developed a new protocol where the mandible is seen on the CXR, hypothesizing that it will improve the accuracy of the ETT position assessment.

Patients and methods: Two groups of intubated patients studied (February 9, 2021 to May 4, 2021): CXR taken in either standard or new protocol (visible mandible required). Two observers independently assessed the images for the neck position (neutral, flexed, and extended) based on the mandible position relative to the vertebral bodies. With the mandible absent (ie, neck position unknown), we established terms: "gray zone" (difficult to assess the ETT position adequately) and "clear zone" (confident recommendation to retract, advance, or maintain ETT position). We compared the rate of confident assessment of the ETT in the standard versus the new protocol.

Results: Of 308 patients, 155 had standard CXRs and 153 had the new protocol. Interrater agreements for the distance between the ETT and the carina and mandible height based on vertebral bodies were 0.986 ( P < 0.001) and 0.955 ( P < 0.001), respectively. The mandible was visualized significantly more often ( P < 0.001) with the new protocol (92%; 141/153) than with the standard protocol (21%; 32/155). By visualizing the mandible or the presence of the ETT within the clear zone, a reader could confidently assess the ETT position more often using the new protocol (96.7% vs 51.6%, P < 0.001).

Conclusions: Mandible visibility on postintubation CXR is helpful for assessing the ETT position. The new protocol resulted in a significant increase in both visualizing the mandible and accurately determining ETT position on postintubation CXR.

Many lung diseases, first, tumors, are smoking-related, and it is very likely to find more than one pattern in the same patient. Airspace enlargement with fibrosis (AEF) is one of them, but it has not been deeply understood or studied yet. In fact, we think that it might still be wrongly assimilated with other conditions that have different radiological features altogether and different prognoses. This pictorial essay is aimed at pointing out AEF so that radiologists and pulmonologists get acquainted with it and use the proper terminology, as AEF might not be that rare.

In the modern era of cardiac imaging, there is increasing use of cardiac computed tomography and cardiac magnetic resonance for visualization of congenital heart disease (CHD). Advanced visualization techniques such as virtual dissection, 3-dimensional modeling, and 4-dimensional flow are also commonly used in clinical practice. This review highlights such methods in five common forms of CHD, including double outlet right ventricle, common arterial trunk, sinus venosus defects, Tetralogy of Fallot variants, and heterotaxy, providing visualizations of pathology in both conventional and novel formats.