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评估中央软骨肿瘤扇贝样改变的最佳磁共振序列

Optimal Magnetic Resonance Sequence for Assessment of Central Cartilage Tumor Scalloping.

作者信息

Shirodkar Kapil K, Jenko Nathan, Azzopardi Christine, Murphy Jennifer, Patel Anish, James Steven L, Davies Arthur Mark, Botchu Rajesh

机构信息

Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, United Kingdom.

出版信息

Indian J Radiol Imaging. 2024 Aug 1;35(1):59-66. doi: 10.1055/s-0044-1788607. eCollection 2025 Jan.

DOI:10.1055/s-0044-1788607
PMID:39697512
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11651851/
Abstract

Magnetic resonance imaging (MRI) is key in evaluating central cartilage tumors. The BACTIP (Birmingham Atypical Cartilaginous Tumour Imaging Protocol) protocol assesses central cartilage tumor risk based on the tumor size and degree of endosteal scalloping on MRI. It provides a management protocol for assessment, follow-up, or referral of central cartilage tumors.  Our study compared four MRI sequences: T1-weighted (T1-w), fluid sensitive (Short Tau Inversion Recovery (STIR)- weighted, STIR-w), and grayscale inversions (T1-w GSI and short tau inversion recovery [STIR] GSI) to see how reliably endosteal scalloping was detected.  Two senior consultant musculoskeletal radiologists with experience reviewed randomly selected 60 representative central cartilage tumor cases with varying degree of endosteal scalloping to reflect a spectrum of BACTIP pathologies. The endosteal scalloping was graded as per the definition of BACTIP A, B, and C. They agreed on a consensus BACTIP grade for each of the 240 key images (60 cases × 4 sequences), which was considered the final "consensus" BACTIP grade. These 240 images were then randomized into a test set and given to two fellowship-trained consultant musculoskeletal radiologists for analysis. They assigned a BACTIP grade to each of the 240 selected images while being blinded to the final "consensus" BACTIP grade. The training set was further subdivided into three groups based on the MR image quality (good quality, average quality, and poor quality) to ascertain if the quality of the acquired images influenced intraobserver and interobserver agreements on the BACTIP grading. The two observers were blinded to the grade assigned to the image quality.  Linearly weighted kappa analysis was performed to measure the agreement between the BACTIP grading answers by two observers and the "consensus" BACTIP grading answers, as well as the BACTIP grading agreement between the two observers themselves. The analysis revealed that T1-w and STIR-w sequences demonstrated more consistent and higher agreement across different image qualities. However, the T1-w GSI and STIR-w GSI sequences exhibited lower agreement, particularly for poor-quality images. T1-w imaging demonstrated substantial agreement between BACTIP gradings for poor-quality images, suggesting potential resilience of T1-w sequence in challenging imaging conditions.  T1-w imaging is the best sequence for BACTIP grading of endosteal scalloping, followed by fluid-sensitive STIR sequences.

摘要

磁共振成像(MRI)是评估中央型软骨肿瘤的关键手段。BACTIP(伯明翰非典型软骨肿瘤成像方案)方案基于肿瘤大小和MRI上的骨内膜扇贝样变程度来评估中央型软骨肿瘤风险。它为中央型软骨肿瘤的评估、随访或转诊提供了一个管理方案。

我们的研究比较了四种MRI序列:T1加权(T1-w)、液体敏感(短反转时间反转恢复序列加权,STIR-w)以及灰度反转(T1-w GSI和短反转时间反转恢复序列[STIR] GSI),以观察骨内膜扇贝样变的检测可靠性如何。

两位经验丰富的高级肌肉骨骼放射科顾问随机挑选了60例具有不同程度骨内膜扇贝样变的代表性中央型软骨肿瘤病例,以反映一系列BACTIP病理情况。骨内膜扇贝样变根据BACTIP A、B和C的定义进行分级。他们就240张关键图像(60例×4个序列)中的每一张达成了一致的BACTIP分级共识,这被视为最终的“共识”BACTIP分级。然后将这240张图像随机分为一个测试集,并交给两位接受过专科培训的肌肉骨骼放射科顾问进行分析。他们在不知道最终“共识”BACTIP分级的情况下,为所选的240张图像中的每一张指定一个BACTIP分级。训练集根据MR图像质量(高质量、中等质量和低质量)进一步细分为三组,以确定采集图像的质量是否会影响观察者内部和观察者之间在BACTIP分级上的一致性。两位观察者对分配给图像质量的分级不知情。

进行线性加权kappa分析,以测量两位观察者的BACTIP分级答案与“共识”BACTIP分级答案之间的一致性,以及两位观察者之间的BACTIP分级一致性。分析表明,T1-w和STIR-w序列在不同图像质量下表现出更一致和更高的一致性。然而,T1-w GSI和STIR-w GSI序列的一致性较低,尤其是对于低质量图像。T1-w成像在低质量图像的BACTIP分级之间表现出高度一致性,表明T1-w序列在具有挑战性的成像条件下可能具有适应性。

T1-w成像是骨内膜扇贝样变BACTIP分级的最佳序列,其次是液体敏感的STIR序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/8365a03009fd/10-1055-s-0044-1788607-i2413283-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/3d1be7c78a16/10-1055-s-0044-1788607-i2413283-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/2c3d9781dcb5/10-1055-s-0044-1788607-i2413283-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/ede82d3e6805/10-1055-s-0044-1788607-i2413283-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/76f1e3978d7c/10-1055-s-0044-1788607-i2413283-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/4a374669772f/10-1055-s-0044-1788607-i2413283-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/8365a03009fd/10-1055-s-0044-1788607-i2413283-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/3d1be7c78a16/10-1055-s-0044-1788607-i2413283-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/2c3d9781dcb5/10-1055-s-0044-1788607-i2413283-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/ede82d3e6805/10-1055-s-0044-1788607-i2413283-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/76f1e3978d7c/10-1055-s-0044-1788607-i2413283-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/4a374669772f/10-1055-s-0044-1788607-i2413283-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4594/11651851/8365a03009fd/10-1055-s-0044-1788607-i2413283-6.jpg

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