A clinical guideline for structured assessment of CT-imaging in congenital lung abnormalities

Hermelijn, Sergei M.; Elders, Bernadette; Ciet, Pierluigi; Wijnen, René; Tiddens, Harm A.W.M.; Schnater, J. Marco

doi:10.1016/j.prrv.2019.12.004

Cited by 10 publications

(15 citation statements)

References 65 publications

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“…Chest CT angiography (CTA) is a common clinical examination technique for identifying thoracic vessel abnormalities and has been widely used in children. It can quickly and noninvasively identify the main vascular malformation (1)(2)(3) and pulmonary malformation (4)(5)(6), especially in children experiencing refractory wheezing (7), hemoptysis (8), or repeated pneumonia (9). However,…”

Section: Introductionmentioning

confidence: 99%

Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction

Sun

et al. 2021

Quant Imaging Med Surg

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Background: Chest CT angiography (CTA) is a common clinical examination technique for children.Iterative reconstruction algorithms are often used to reduce image noise but encounter limitations under low dose conditions. Deep learning-based image reconstruction algorithms have been developed to overcome these limitations. We assessed the quantitative and qualitative image quality of thin-slice chest CTA in children acquired with low radiation dose and contrast volume by using a deep learning image reconstruction (DLIR) algorithm.Methods: A total of 33 children underwent chest CTA with 70 kVp and automatic tube current modulation for noise indices of 11-15 based on their age and contrast volume of 0.8-1.2 mL/kg. Images were reconstructed with 50% and 100% adaptive statistical iterative reconstruction-V (ASIR-V) and highsetting DLIR (DLIR-H) at 0.625 mm slice thickness. Two radiologists evaluated images in consensus for overall image noise, artery margin, and artery contrast separately on a 5-point scale (5, excellent; 4, good; 3, acceptable; 2, sub-acceptable, and 1, not acceptable). The CT value and image noise of the descending aorta and back muscle were measured. Radiation dose and contrast volume was recorded. Results:The volume CT dose index, dose length product, and contrast volume were 1.37±0.29 mGy, 35.43±10.59 mGy•cm, and 25.43±13.32 mL, respectively. The image noises (in HU) of the aorta with DLIR-H (19.24±5.77) and 100% ASIR-V (20.45±6.93) were not significantly different (P>0.05) and were substantially lower than 50% ASIR-V (29.45±7.59) (P<0.001). The 100% ASIR-V images had oversmoothed artery margins, but only the DLIR-H images provided acceptable scores on all 3 aspects of the qualitative image quality evaluation.Conclusions: It is feasible to improve the image quality of a low radiation dose and contrast volume chest CTA in children using the high-setting DLIR algorithm.

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Section: Introductionmentioning

confidence: 99%

Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction

Sun

et al. 2021

Quant Imaging Med Surg

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“…Moreover, a CT scan may be considered an important diagnostic tool because it can highlight additional coexisting lesions. Another important technique that can be used for diagnostic purposes, especially to distinguish between microcystic and macrocystic lesions, is high-resolution chest tomography (HRCT) [ 27 , 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Congenital Cystic Adenomatoid Malformation (CCAM) Type II: A Rare Case of Sudden Infant Death

et al. 2022

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Congenital cystic adenomatoid malformation (CCAM) is a developmental lesion of the lungs and terminal respiratory structures, which is characterized by pseudocysts, lesions, and cystically dilated airways. CCAM is also known as congenital pulmonary airway malformation (CPAM). Various classification systems for CCAM have been described, and based on a recent classification, CCAMs are classified morphologically into five different types (Type 0, I, II, III, and IV) based on lesion sizes. The most common manifestation of CCAM in neonates and children is respiratory distress (RD). Spontaneous pneumothorax is a rare manifestation of CCAM. In this case report, we discuss a CCAM type-II case of a 38-day-old female infant with a radiological post-mortem diagnosis of a large left-side spontaneous pneumothorax. The gross examination of the lungs revealed multiple emphysematous air bubbles up to 0.5 cm in diameter, and the histological examination revealed focal pleural fibrosis, accompanied by thickened septa and atelectasis. In this scenario, the routine use of prenatal ultrasonography would be important to obtain a timely prenatal diagnosis. At the same time, improvements in surgical techniques, as well as greatly improved imaging techniques, have improved the outcome of these patients. Finally, it is important to remark on the importance of autopsy in the case of sudden infant death with a suspected CCAM.

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“…However, due to overlapping characteristics and uneven terminology use, diagnosis can be difficult. 10 The therapy of CCAM is determined on the size of the tumor and if it is symptomatic. 6 CCAM is treated with lobectomy.…”

Section: Discussionmentioning

confidence: 99%

Congenital cystic adenomatoid malformation: a rare serial case report

Haryono

Kartika

Hayuningrat³

et al. 2021

Int Surg J

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Congenital cystic adenomatoid malformation (CCAM) is a rare congenital lung malformation which a part of the lung becomes polycystic. CCAM accounts for 25% of congenital lung malformations and 95% of lung lesions. Case 1 was a 5-month-old female infant who was diagnosed with pneumothorax, with multiple cysts in the right lung, using chest computed tomography (CT). Thoracotomy lung resection was performed. Case 2 was one-day-old newborn infant who had respiratory distress with Downe score 3. Multiple cystic lesions with septations in left lung was observed on chest CT. Lobectomy inferior lobes of left lung was performed. Both patients were diagnosed as CCAM type 1 pathologically. CCAM can be detected in the gestation by ultrasonography or after delivery through the appearance of respiratory distress signs.

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A clinical guideline for structured assessment of CT-imaging in congenital lung abnormalities

Cited by 10 publications

References 65 publications

Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction

Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction

Congenital Cystic Adenomatoid Malformation (CCAM) Type II: A Rare Case of Sudden Infant Death

Congenital cystic adenomatoid malformation: a rare serial case report

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