Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT

Sui, Xin; Meinel, Felix G.; Song, Wei; Xu, Xiaoli; Wang, Zixing; Wang, Yuyan; Jin, Zhengyu; Chen, Jiuhong; Vliegenthart, Rozemarijn; Schoepf, U. Joseph

doi:10.1016/j.ejrad.2015.12.013

Cited by 57 publications

(50 citation statements)

References 29 publications

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“…As nodule diameter increased, the probability that the nodule was malignant increased significantly. SPN diameter was previously shown to be an independent risk factor for the determination of benignity or malignancy (8). If nodule diameter exceeded 1 cm, this was considered an important value for judgement on the nature of the SPN.…”

Section: Discussionmentioning

confidence: 99%

Differential diagnosis of solitary pulmonary nodules with dual-source spiral computed tomography

Shi

Wang

2016

Experimental and Therapeutic Medicine

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The aim of the present study was to analyze the value of applying dual-source 64-layer spiral computed tomography (CT) in the differential diagnosis of solitary pulmonary nodules (SPNs). Mediastinal windows from 45 cases were selected to study SPNs (maximum diameter, ≤3 cm), and the pathological nature of lesions was determined by clinical and pathological diagnosis. Conventional 64-layer spiral CT scanning, local enhancement and 3D recombination technologies were used to determine the occurrence rate, lesion diameter, degree of enhancement, lobular sign, spicule sign, pleural indentation sign, vessel convergence sign and bronchus sign. The final diagnoses indicated 34 cases of malignant SPNs (75.6%) and 11 benign cases (24.4%). When the nodule diameter in the malignant group was compared with that of the benign group, the difference was not statistically significant (P>0.05). Nodules in the malignant group showed inhomogeneous enhancement while nodules in the benign group showed homogeneous enhancement. The enhanced CT values in the malignant group were higher than those in the benign group, and the difference was statistically significant (P<0.05). The proportion of nodules with lobular sign in the malignant group was significantly higher than that in the benign group (P<0.05). The proportion of nodules with calcification, vessel convergence sign and bronchus sign in the malignant group were significantly higher than those in the benign group, and the differences were statistically significant (P<0.05). A comparison of vacuole sign, pleural indentation sign, spiculate protuberance and fat occurrence between the two groups yielded no statistically significant differences (P>0.05). The sensitivity of CT enhancement was 85.6%, specificity was 79.6%, positive predicated value was 92.3%, and the negative predicted value was 85.2%. In conclusion, SPNs diagnosed by CT enhancement manifested with enhancement degree, lobular sign, calcification, vessel convergence sign and bronchus sign with high diagnostic accuracy.

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Section: Discussionmentioning

confidence: 99%

Differential diagnosis of solitary pulmonary nodules with dual-source spiral computed tomography

Shi

Wang

2016

Experimental and Therapeutic Medicine

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“…The experimental setup allowed for scanning identical anatomical conditions repeatedly at multiple exposure settings from standard to ultralow-dose and with different tube voltages. In previous studies [15,16], the nodule density, lung parenchyma density and noise in the employed chest phantom were similar to images of heavy smokers participating in lung cancer screening, which results in a more realistic setting compared to other anthropomorphic chest phantoms. In these previous studies, the ex vivo lung phantom was acquired with a second generation dual source CT with low dose protocol and reconstructed by FBP and second generation IR (SAFIRE) [15,16].…”

Section: Discussionmentioning

confidence: 99%

“…Most of the previous studies on detection of pulmonary nodules in ULD CT were performed in anthropomorphic chest phantoms or performed in second-generation dual-source CT with outdated IR versions [7,[14][15][16]. To our knowledge, there is little data available regarding the image quality and the diagnostic confidence of ULD chest CT and reconstructions using ADMIRE for the detection of pulmonary nodules in a realistic phantom model.…”

Section: Introductionmentioning

confidence: 97%

Detection of artificial pulmonary lung nodules in Ultralow-Dose CT using an ex vivo lung phantom

et al. 2015

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ObjectivesTo assess the image quality of 3 different ultralow-dose CT protocols on pulmonary nodule depiction in a ventilated ex vivo-system. Materials and methodsFour porcine lungs were inflated inside a dedicated chest phantom and prepared with n = 195 artificial nodules (0.5-1 mL). The artificial chest wall was filled with water to simulate the absorption of a human chest. Images were acquired with a 2x192-row detector CT using low-dose (reference protocol with a tube voltage of 120 kV) and 3 different ULD protocols (respective effective doses: 1mSv and 0.1mSv). A different tube voltage was used for each ULD protocol: 70kV, 100kV with tin filter (100kV_Sn) and 150kV with tin filter (150kV_Sn). Nodule delineation was assessed by two observers (scores 1-5, 1 = unsure, 5 = high confidence). ResultsThe diameter of the 195 detected artificial nodules ranged from 0.9-21.5 mm (mean 7.84 mm ± 5.31). The best ULD scores were achieved using 100kV_Sn and 70 kV ULD protocols (4.14 and 4.06 respectively). Both protocols were not significantly different (p = 0.244).The mean score of 3.78 in ULD 150kV_Sn was significantly lower compared to the 100kV_Sn ULD protocol (p = 0.008). ConclusionThe results of this experiment, conducted in a realistic setting show the feasibility of ultralow-dose CT for the detection of pulmonary nodules.

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“…Although the estimated effective dose varied from 0.10 to 0.36 mSv in the past studies assessing GGN detectability by using CDT at reduced doses, 11,[26][27][28][29][30] CDT have demonstrated superiority in the GGN detectability to chest radiography even at an effective dose of 0.10-0.19 mSv; however, CDT has not yet achieved its comparability to LDCT at such doses. 31 Whereas, on CT images obtained at a similar dose to chest radiography (effective dose: 0.13-0.29 mSv), 21,31,32 beneficial effects of IR on image noise reduction and comparability in GGN detectability to LDCT have been shown. By contrast, in our study, at least 0.641 mSv was demonstrated to be required to obtain the advantageous effect of IR on CDT images.…”

Section: Discussionmentioning

confidence: 99%

A phantom study for ground-glass nodule detectability using chest digital tomosynthesis with iterative reconstruction algorithm by ten observers: association with radiation dose and nodular characteristics

Miyata

Nagatani

Ikeda

et al. 2017

The British Journal of Radiology

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Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT

Cited by 57 publications

References 29 publications

Differential diagnosis of solitary pulmonary nodules with dual-source spiral computed tomography

Differential diagnosis of solitary pulmonary nodules with dual-source spiral computed tomography

Detection of artificial pulmonary lung nodules in Ultralow-Dose CT using an ex vivo lung phantom

A phantom study for ground-glass nodule detectability using chest digital tomosynthesis with iterative reconstruction algorithm by ten observers: association with radiation dose and nodular characteristics

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