Evidence map›Paper›PMID 32642159›Full record

ArticleJournal of thoracic disease2020

A pilot study of native T1-mapping for focal pulmonary lesions in 3.0 T magnetic resonance imaging: size estimation and differential diagnosis.

Shuyi Yang, Fei Shan, Qinqin Yan, Jie Shen, Peiyan Ye, Zhiyong Zhang, Yuxin Shi, Rengyin Zhang

Abstract read
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Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  10. Value for combination of TZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuyi YangDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Fei ShanDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Qinqin YanDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Jie ShenDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Peiyan YeDepartment of Hepatopathy, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Zhiyong ZhangDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Yuxin ShiDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Rengyin ZhangDepartment of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the accuracy of size estimation and potential diagnosis efficacy of native T1-mapping in focal pulmonary lesion, compared to T1-star 3D-volumetric interpolated breath-hold sequence (VIBE), T2-fBLADE turbo-spin echo (TSE), and computed tomography (CT).

methodsThirty-nine patients with CT-detected focal pulmonary lesions underwent thoracic 3.0-T magnetic resonance imaging (MRI) using axial free-breathing 3D T1-star VIBE, respiratory triggered T2-fBLADE TSE, breath-hold T1-Turbo fast low angle shot (FLASH) and T1-FLASH 3D. Native T1-mapping images were generated by T1-FLASH 3D with B1-filed correction by T1-Turbo FLASH. The intraclass correlation coefficient (ICC) and Bland-Altman plots were used to evaluate intra-observer agreement and inter-method reliability of diameter measurements. Native T1-values were measured and compared among the malignancy, tuberculosis, non-tuberculosis benign groups using Mann-Whitney U tests.

resultsForty-five focal pulmonary lesions were displayed by CT, native T1-mapping, T1-star VIBE, and T2-fBLADE TSE. T1-mapping-based diameter measurements yielded an intra-observer ICC of 0.995. Additionally, inter-method measurements were highly consistent (T1-mapping & T1-star VIBE: ICC 0.982, T1-mapping & T2-fBLADE TSE: ICC 0.978, T1-mapping & CT: ICC 0.972). For lesions <3.00 cm, T1-mapping intra-observer (ICC 0.982) and inter-method diameter measurements were also highly consistent (T1-mapping & CT: ICC 0.823). Native T1-values of malignant tumors were lower than those of the non-tuberculosis benign lesions (P=0.003). Native T1-values of tuberculosis were lower than those of the non-tuberculosis benign lesions (P=0.002). Native T1-values showed no statistically significant differences between malignant tumors and tuberculosis (P=0.059).

conclusionsNative T1-mapping enable accurate and reliable diameter measurement. Native T1-values potentially differentiate malignant tumors or tuberculosis from non-tuberculosis benign lesions.

Indexed as

magnetic resonance imaging (MRI)Pulmonary cancerpulmonary tuberculosisT1-mapping

Identifiers

PMID32642159
PMCPMC7330293

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.