Interobserver and sequence variability in the delineation of pelvic organs at risk on magnetic resonance images.

IF 2.1 4区 医学 Q3 ONCOLOGY
Wanjia Zheng, Xin Yang, Zesen Cheng, Jinxing Lian, Enting Li, Shaoling Mo, Yimei Liu, Sijuan Huang
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引用次数: 0

Abstract

Background: This study evaluates the contouring variability among observers using MR images reconstructed by different sequences and quantifies the differences of automatic segmentation models for different sequences.

Patients and methods: Eighty-three patients with pelvic tumors underwent T1-weighted image (T1WI), contrast enhanced Dixon T1-weighted (T1dixonc), and T2-weighted image (T2WI) MR imaging on a simulator. Two observers performed manual delineation of the bladder, anal canal, rectum, and femoral heads on all images. Contour differences were used to analyze the interobserver and intersequence variability. A single-sequence automatic segmentation network was established using the U-Net network, and the segmentation results were analyzed.

Results: Variability analysis among observers showed that the bladder, rectum, and left femoral head on T1WI yielded the highest dice similarity coefficient (DSC) and the lowest 95% Hausdorff distance (HD) (all three sequences). Regarding sequence variability analysis for the same observer, the difference between T1WI and T2WI was the smallest. The DSC of the bladder, rectum, and femoral heads exceeded 0.88 for T1WI-T2WI. The differences between automatic segmentations and manual delineations were minimal on T2WI. The averaged DSC of automatic and manual segmentation of all organs on T2WI exceeded 0.81, and the averaged 95% HD value was lower than 7 mm. Similarly, the sequence variability analysis of automatic segmentation indicates that the automatic segmentation differences between T2WI and T1WI are minimal.

Conclusions: T1WI and T2WI yielded better results in manual delineation and automatic segmentation, respectively. The analysis of variability among three sequences indicates that the yielded good similarity outcomes between the T1WI and T2WI cases in manual and automatic segmentation. We infer that the T1WI and T2WI (or their combination) can be used for MR-only radiation therapy.

在磁共振图像上描绘盆腔器官危险的观察者之间和序列变异性。
背景:本研究利用不同序列重建的磁共振图像,评估了观察者之间的轮廓变异性,并量化了不同序列下自动分割模型的差异。患者和方法:83例盆腔肿瘤患者在模拟器上行t1加权像(T1WI)、增强Dixon t1加权像(t1dixon)和t2加权像(T2WI)磁共振成像。两名观察员在所有图像上手工描绘膀胱、肛管、直肠和股骨头。等高线差异用于分析观察者间和序列间的可变性。利用U-Net网络建立了单序列自动分割网络,并对分割结果进行了分析。结果:观察者之间的变异性分析显示,膀胱、直肠和左股骨头在T1WI上产生最高的dice similarity coefficient (DSC)和最低的95% Hausdorff distance (HD)(所有三个序列)。对于同一观察者的序列变异性分析,T1WI与T2WI的差异最小。T1WI-T2WI对膀胱、直肠、股骨头的DSC均大于0.88。在T2WI上,自动分割与人工划定的差异很小。T2WI自动和人工分割各脏器的平均DSC均大于0.81,平均95% HD值均小于7 mm。同样,自动分割的序列变异性分析表明,T2WI和T1WI的自动分割差异很小。结论:T1WI和T2WI分别在人工圈定和自动分割中具有较好的效果。三个序列的变异性分析表明,人工和自动分割T1WI和T2WI病例的结果相似。我们推断T1WI和T2WI(或其组合)可用于仅磁共振放射治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiology and Oncology
Radiology and Oncology ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
4.40
自引率
0.00%
发文量
42
审稿时长
>12 weeks
期刊介绍: Radiology and Oncology is a multidisciplinary journal devoted to the publishing original and high quality scientific papers and review articles, pertinent to diagnostic and interventional radiology, computerized tomography, magnetic resonance, ultrasound, nuclear medicine, radiotherapy, clinical and experimental oncology, radiobiology, medical physics and radiation protection. Therefore, the scope of the journal is to cover beside radiology the diagnostic and therapeutic aspects in oncology, which distinguishes it from other journals in the field.
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