Effect of Reducing Field of View on Multidetector Quantitative Computed Tomography Parameters of Airway Wall Thickness in Asthma

Sheshadri, Ajay; Rodriguez, Alfonso; Chen, Ryan; Kozlowski, James; Burgdorf, Dana; Koch, Tammy; Tarsi, Jaime; Schutz, Rebecca; Wilson, Brad; Schechtman, Kenneth B.; Leader, Joseph K.; Hoffman, Eric A.; Castro, Mario; Fain, Sean B.; Gierada, David S.

doi:10.1097/rct.0000000000000238

Cited by 14 publications

(15 citation statements)

References 27 publications

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“…Improvement in image quality in the lung field plays an important role in diagnosis. Studies reported that U-HRCT can improve nodule images in the lung or bronchi, thereby improving diagnostic confidence [6,20]. It was also reported that when using U-HRCT with a small FOV (100 mm), the lung nodule image quality and diagnostic confidence were improved compared with conventional HRCT with a larger FOV (350 mm) [18].…”

Section: Discussionmentioning

confidence: 99%

Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT

et al. 2020

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Objectives This study was conducted in order to compare the effect of field of view (FOV) size on image quality between ultrahigh-resolution CT (U-HRCT) and conventional high-resolution CT (HRCT). Methods Eleven cadaveric lungs were scanned with U-HRCT and conventional HRCT and reconstructed with five FOVs (40, 80, 160, 240, and 320 mm). Three radiologists evaluated and scored the images. Three image evaluations were performed, comparing the image quality with the five FOVs with respect to the 160-mm FOV. The first evaluation was performed on conventional HRCT images, and the second evaluation on U-HRCT images. Images were scored on normal structure, abnormal findings, and overall image quality. The third evaluation was a comparison of the images obtained with conventional HRCT and U-HRCT, with scoring performed on overall image quality. Quantitative evaluation of noise was performed by setting ROIs. Results In conventional HRCT, image quality was improved when the FOV was reduced to 160 mm. In U-HRCT, image quality, except for noise, improved when the FOV was reduced to 80 mm. In the third evaluation, overall image quality was improved in U-HRCT over conventional HRCT at all FOVs. Noise of U-HRCT increased with respect to conventional HRCT when the FOV was reduced from 160 to 40 mm. However, at 240-and 320-mm FOVs, the noise of U-HRCT and conventional HRCT showed no differences. Conclusions In conventional HRCT, image quality did not improve when the FOV was reduced below 160 mm. However, in U-HRCT, image quality improved even when the FOV was reduced to 80 mm. Key Points • Reducing the size of the field of view to 160 mm improves diagnostic imaging quality in high-resolution CT.• In ultra-high-resolution CT, improvements in image quality can be obtained by reducing the size of the field of view to 80 mm.• Ultra-high-resolution CT produces images of higher quality compared with conventional HRCT irrespective of the size of the field of view.

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Section: Discussionmentioning

confidence: 99%

Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT

et al. 2020

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“…However, the difference between U-HRCT target scans and conventional CT target reconstructions was not statistically significant with regard to the identification of burr sign, vacuole sign, air bronchial sign, and fissure distortion. Sheshadri et al (21) reported that obtaining U-HRCT target scans using a small FOV significantly improved the spatial resolution of images. Our results show that U-HRCT target scans provided better image quality in mixed component ground-glass lung adenocarcinoma ( Figure 5).…”

Section: B C Amentioning

confidence: 99%

A comparison of ultra-high-resolution CT target scan versus conventional CT target reconstruction in the evaluation of ground-glass-nodule-like lung adenocarcinoma

Zhu

Hou

Lan

et al. 2019

Quant. Imaging Med. Surg

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Background: The aim of this study was to determine whether the clinical value of scanned computed tomography (CT) images is higher when using ultra-high-resolution CT (U-HRCT) target scanning than conventional CT target reconstruction scanning in the evaluation of ground-glass-nodule (GGN)-like lung adenocarcinoma. Methods: A total of 91 consecutive patients with isolated GGN-like lung adenocarcinoma were included in this study from April 2017 to June 2018. U-HRCT and conventional CT scans were conducted in all enrolled patients. Two experienced thoracic radiologists independently assessed image quality and made diagnoses. Based on the pathological results, the accuracies of U-HRCT target scanning and conventional CT target reconstruction for detecting morphological features on CT, including spiculation of GGNs, bronchial vascular bundles, solid components in the nodules, burr, vacuole, air bronchial signs, and fissure distortion, were calculated. All statistical analyses were performed using SPSS 17.0 software. Enumeration data were tested using the Chi-square test. A P value of <0.05 was considered statistically significant. Results: When both techniques were compared with the pathological findings, the detection rate for CT images obtained using U-HRCT target scanning and conventional CT target reconstruction with regard to the spiculation of GGNs, bronchial vascular bundles, and solid components in the nodules were 78% vs. 61.5%, 72.5% vs. 54.9%, 65.9% vs. 49.5%, respectively. The presence of the spiculation of GGNs, bronchial vascular bundles, and solid components in the nodules in U-HRCT target scanning was significantly higher than that in conventional CT target reconstruction (all P<0.05). However, no significant difference was observed between the two techniques with regard to the burr, vacuole, air bronchial signs, and fissure distortion (all P>0.05). Conclusions: When viewing GGNs, the detection rate was higher for U-HRCT target scanning than for conventional CT target reconstruction, and this improvement significantly enhanced the diagnostic accuracy of early lung adenocarcinoma.

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“…Most lymph nodes were located in level VI in our study, and small lymph nodes account for the majority of them. For small FOV CT images, the signal-to-noise ratio and spatial resolution have improved (8,(13)(14)(15)(16). ROI was often drawn in the enhancement area in previous studies, and this area did not necessarily represent the entire lymph node.…”

Section: Discussionmentioning

confidence: 99%

Dual-source dual-energy thin-section CT combined with small field of view technique for small lymph node in thyroid cancer: a retrospective diagnostic study

Zhuo

Sun

Chang³

et al. 2021

Gland Surg

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Effect of Reducing Field of View on Multidetector Quantitative Computed Tomography Parameters of Airway Wall Thickness in Asthma

Cited by 14 publications

References 27 publications

Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT

Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT

A comparison of ultra-high-resolution CT target scan versus conventional CT target reconstruction in the evaluation of ground-glass-nodule-like lung adenocarcinoma

Dual-source dual-energy thin-section CT combined with small field of view technique for small lymph node in thyroid cancer: a retrospective diagnostic study

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