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ArticleSkeletal radiology2024

3D-DESS MRI with CAIPIRINHA two- and fourfold acceleration for quantitatively assessing knee cartilage morphology.

Donglin Wen, Xiaoyue Zhou, Bowen Hou, Qiong Zhang, Esther Raithel, Yi Wang, Gang Wu, Xiaoming Li

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Article in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Donglin WenDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan City, 430030, Hubei Province, China.
Xiaoyue ZhouMR Collaboration, Siemens Healthineers Ltd., Shanghai, China.
Bowen HouDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan City, 430030, Hubei Province, China.
Qiong ZhangSiemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China.
Esther RaithelSiemens Healthcare GmbH, Erlangen, Germany.
Yi WangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan City, 430030, Hubei Province, China.
Gang WuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan City, 430030, Hubei Province, China. 42292815@qq.com.
Xiaoming LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan City, 430030, Hubei Province, China. lilyboston2002@sina.com.

Funding

National Natural Science Foundation of China 81930045
6 · The paper itself

Abstract

objectivesThis study aimed to assess the diagnostic image quality and compare the knee cartilage segmentation results using a controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-accelerated 3D-dual echo steady-state (DESS) research package sequence in the knee. MATERIALS AND

methodsA total of 64 subjects underwent both two- and fourfold CAIPIRINHA-accelerated 3D-DESS and DESS without parallel acceleration technique of the knee on a 3.0 T system. Two musculoskeletal radiologists evaluated the images independently for image quality and diagnostic capability following randomization and anonymization. The consistency of automatic segmentation results between sequences was explored using an automatic knee cartilage segmentation research application. The descriptive statistics and inter-observer and inter-method concordance of various acceleration sequences were investigated. P values < .05 were considered significant.

resultsFor image quality evaluation, the image signal-to-noise ratio and contrast-to-noise ratio decreased with the decrease in scanning time. However, it is accompanied by the reduction of artifacts. Using 3D-DESS without parallel acceleration technique as the standard for cartilage grading diagnosisand the diagnostic agreement of two- and fourfold CAIPIRINHA-accelerated 3D-DESS was good, kappa value was 0.860 (P < .001) and 0.804 (p < 0.001), respectively. Regarding cartilage defects, the sensitivity and specificity of the twofold acceleration 3D-CAIPIRINHA-DESS were 95.56% and 97.70%, and the fourfold CAIPIRINHA-accelerated 3D-DESS were 91.49% and 97.65%, respectively. The intraclass correlation coefficients of various sequences in cartilage segmentation were almost all greater than 0.9.

conclusionThe CAIPIRINHA-accelerated 3D-DESS sequence maintained comparable diagnostic and segmentations performance of knee cartilage after a 60% scan time reduction.

Indexed as

Cartilage, ArticularImaging, Three-DimensionalKnee JointMagnetic Resonance ImagingAdultArtifactsFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedSignal-To-Noise RatioAccelerationKneeMRIOsteoarthritis

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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.