Radiological Cardiothoracic Ratio in Evidence-Based Medicine

Truszkiewicz, Krystian; Poręba, Rafał; Gać, Paweł

doi:10.3390/jcm10092016

Cited by 38 publications

(34 citation statements)

References 28 publications

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“…While the MHCD has little change from 10.47 cm to 10.16 cm, the MHTD has relatively large change, from 24.71 cm to 25.40 cm. As a consequence, the cardiothoracic ratio becomes 0.4002, which is below the normal range of 0.42 -0.50 [43]. The result of learning perspective deformation from 0 • single view is displayed in Fig.…”

Section: Results On Chest Datamentioning

confidence: 92%

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Learning Perspective Deformation in X-Ray Transmission Imaging

Huang¹,

Maier²,

Fietkau³

et al. 2022

Preprint

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In cone-beam X-ray transmission imaging, due to the divergence of X-rays, imaged structures with different depths have different magnification factors on an X-ray detector, which results in perspective deformation. Perspective deformation causes difficulty in direct, accurate geometric assessments of anatomical structures. In this work, in order to reduce perspective deformation in X-ray images acquired from regular cone-beam computed tomography (CBCT) systems, we investigate on learning perspective deformation, i.e., converting perspective (cone-beam) projections into orthogonal (parallel-beam) projections. Directly converting a single perspective projection image into an orthogonal projection image is extremely challenging due to the lack of depth information. Therefore, we propose to utilize one additional perspective projection, a complementary (180 • ) or orthogonal (90 • ) view, to provide a certain degree of depth information. Furthermore, learning perspective deformation in different spatial domains, i.e. in Cartesian, polar, and log-polar coordinates, is investigated. Our proposed method is evaluated on numerical spherical bead phantoms as well as patients' chest and head X-ray data. The experiments on numerical bead phantom data demonstrate that learning perspective deformation in polar coordinates has significant advantages over learning in Cartesian coordinates, as root-mean-square error (RMSE) decreases from 5.31 to 1.40, while learning in log-polar coordinates has no further considerable improvement (RMSE = 1.85). In addition, using a complementary view (RMSE = 1.40) is better than an orthogonal view (RMSE = 3.87). The experiments on patients' chest and head data demonstrate that learning perspective deformation using dual complementary views is also applicable in anatomical X-ray data, allowing accurate cardiothoracic ratio measurements in chest X-ray images and cephalometric analysis in synthetic cephalograms from cone-beam X-ray projections. Our proof-of-concept experiments indicate that learning perspective deformation has the potential to empower conventional CBCT systems with more applications, e.g. chest X-ray imaging, which typically require specialized X-ray devices.

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Section: Results On Chest Datamentioning

confidence: 92%

“…The results of one patient in chest X-ray imaging are displayed in Fig. 11, where the cardiothoracic ratio is assessed as an exemplary clinical application [43]. In the reference image (Fig.…”

Section: Results On Chest Datamentioning

confidence: 99%

Learning Perspective Deformation in X-Ray Transmission Imaging

Huang¹,

Maier²,

Fietkau³

et al. 2022

Preprint

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“…However, it is important to remember that these patients with a positive ECG-LVH criterion and/or chest radiograph suggestive of cardiac enlargement should not be excluded from further diagnostic processes. Despite the strongest agreement with CMR-LVH for a CAR 2 E 2 score of ≥3, when compared to chest radiograph parameters indicating cardiac enlargement or ECG-LVH criteria, studies have shown that ECG and chest radiograph used alone are also useful in screening for LVH [16,36].…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, CTR and TCD may be influenced by several other factors, such as pericardial fat, elevation of the diaphragm either due to poor inspiration or obesity, the breathing phase or thoracic alterations (e.g., severe scoliosis, pectus excavatum) [2,[36][37][38][39]. However, TCD seems to be influenced by deformities of the chest (especially affecting the transverse chest diameter) to a lesser extent than CTR.…”

Section: Discussionmentioning

confidence: 99%

Clinical Data, Chest Radiograph and Electrocardiography in the Screening for Left Ventricular Hypertrophy: The CAR2E2 Score

Matusik¹,

Bryll

Pac

et al. 2022

JCM

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Left ventricular hypertrophy (LVH) is associated with adverse clinical outcomes and implicates clinical decision-making. The aim of our study was to assess the importance of different approaches in the screening for LVH. We included patients who underwent cardiac magnetic resonance (CMR) imaging and had available chest radiograph in medical documentation. Cardiothoracic ratio (CTR), transverse cardiac diameter (TCD), clinical and selected electrocardiographic (ECG)-LVH data, including the Peguero-Lo Presti criterion, were assessed. CMR–LVH was defined based on indexed left ventricular mass-to-body surface area. Receiver operating characteristics analyses showed that both the CTR and TCD (CTR: area under the curve: [AUC] = 0.857, p < 0.001; TCD: AUC = 0.788, p = 0.001) were predictors for CMR–LVH. However, analyses have shown that diagnoses made with TCD, but not CTR, were consistent with CMR–LVH. From the analyzed ECG–LVH criteria, the Peguero-Lo Presti criterion was the best predictor of LVH. The best sensitivity for screening for LVH was observed when the presence of heart failure, ≥40 years in age (each is assigned 1 point), increased TCD and positive Peguero-Lo Presti criterion (each is assigned 2 points) were combined (CAR2E2 score ≥ 3 points). CAR2E2 score may improve prediction of LVH compared to other approaches. Therefore, it may be useful in the screening for LVH in everyday clinical practice in patients with prevalent cardiovascular diseases.

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“…Any disagreements with findings between the two readers were evaluated by a third reader with 15 years of experience as a JRS board-certified pulmonologist. Cardiomegaly was defined as a cardiothoracic (CTR) ratio > 0.50, based on posterior-anterior (PA) chest radiographs or a CTR ratio > 0.55 in anterior-posterior (AP) chest radiographs [17]. The abnormalities in chest CT were characterized by consolidation, ground-glass opacity (GGO), centrilobular nodules, interstitial septal thickening, and bronchial wall thickening.…”

Section: Evaluation Of the Chest Radiograph And Ctmentioning

confidence: 99%

Associations between Chest CT Abnormalities and Clinical Features in Patients with the Severe Fever with Thrombocytopenia Syndrome

Ashizawa

Yamamoto

Ashizawa

et al. 2022

Viruses

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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by the SFTS virus. It involves multiple organ systems, including the lungs. However, the significance of the lung involvement in SFTS remains unclear. In the present study, we aimed to investigate the relationship between the clinical findings and abnormalities noted in the chest computed tomography (CT) of patients with SFTS. The medical records of 22 confirmed SFTS patients hospitalized in five hospitals in Nagasaki, Japan, between April 2013 and September 2019, were reviewed retrospectively. Interstitial septal thickening and ground-glass opacity (GGO) were the most common findings in 15 (68.1%) and 12 (54.5%) patients, respectively, and lung GGOs were associated with fatalities. The SFTS patients with a GGO pattern were elderly, had a disturbance of the conscious and tachycardia, and had higher c-reactive protein levels at admission (p = 0.009, 0.006, 0.002, and 0.038, respectively). These results suggested that the GGO pattern in patients with SFTS displayed disseminated inflammation in multiple organs and that cardiac stress was linked to higher mortality. Chest CT evaluations may be useful for hospitalized patients with SFTS to predict their severity and as early triage for the need of intensive care.

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Radiological Cardiothoracic Ratio in Evidence-Based Medicine

Cited by 38 publications

References 28 publications

Learning Perspective Deformation in X-Ray Transmission Imaging

Learning Perspective Deformation in X-Ray Transmission Imaging

Clinical Data, Chest Radiograph and Electrocardiography in the Screening for Left Ventricular Hypertrophy: The CAR2E2 Score

Associations between Chest CT Abnormalities and Clinical Features in Patients with the Severe Fever with Thrombocytopenia Syndrome

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