Interobserver variability of clinical target volume delineation in patients undergoing breast-conserving surgery without surgical clips: a pilot study on preoperative magnetic resonance simulation.

IF 3.4 2区 医学 Q2 ONCOLOGY BMC Cancer Pub Date : 2024-10-26 DOI:10.1186/s12885-024-13076-x
Shuning Jiao, Yiqing Wang, Jiabin Ma, Jing Shen, Xi-Qian Zhang, Bing Zhou, Xiansong Sun, Haoran Xu, Xia Liu, Ke Hu, Fuquan Zhang, Xiaorong Hou, Jie Qiu
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Abstract

Background: In patients undergoing breast-conserving therapy without surgical clip implantation, the accuracy of tumor bed identification and the consistency of clinical target volume (CTV) delineation under computed tomography (CT) simulation remain suboptimal. This study aimed to investigate the feasibility of implementing preoperative magnetic resonance (MR) simulation on delineations by assessing interobserver variability (IOV).

Methods: Preoperative MR and postoperative CT simulations were performed in patients who underwent breast-conserving surgery with no surgical clips implanted. Custom immobilization pads were used to ensure the same supine position. Three radiation oncologists independently delineated the CTV of tumor bed on the images acquired from MR and CT simulation registration and CT simulation alone. Cavity visualization score (CVS) was assigned to each patient based on the clarity of the tumor bed on CT simulation images. IOV was indicated by generalized conformity index (CIgen), denoted as CIgen-CT and CIgen-MR/CT, and the distance between the centroid of mass (dCOM), denoted as dCOMCT and dCOMMR/CT. The variation of IOV in different CVS subgroups was analyzed.

Results: A total of 10 patients were enrolled in this study. The median and interquartile range (IQR) of maximum pathological diameter of the tumors in all patients were 1.55 (0.80-1.92) cm. No statistical significance was found between the volumes of CTVs on CT simulation and on MR/CT simulation registration images (p = 0.387). CIgen-MR/CT was significantly larger than CIgen-CT (p = 0.005). dCOMMR/CT was significantly smaller than dCOMCT (p = 0.037). The median and IQR of CVS in all patients were 2.34 (2.00-3.08). The difference of CIgen between CIgen-MR/CT and CIgen-CT was larger in the low CVS group (p = 0.016). The difference of dCOM showed a decreasing trend when CVS was lower, although it did not reach statistical significance (p = 0.095).

Conclusions: For patients who underwent breast-conserving surgery without surgical clip implantation, the use of preoperative MR simulation in delineating the CTV of tumor bed decreased the IOV among observers. The consistency of tumor bed identification was improved especially in cases where the margins of tumor bed were challenging to visualize on CT simulation images. The study findings offer potential benefits in reducing local recurrence and minimizing tissue irritation in the surrounding areas. Future investigation in a larger patient cohort to validate our results is warranted.

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无手术夹保乳手术患者临床目标体积划分的观察者间变异性:术前磁共振模拟试验研究。
背景:在未植入手术夹的情况下接受保乳治疗的患者中,计算机断层扫描(CT)模拟下肿瘤床识别的准确性和临床靶体积(CTV)划定的一致性仍不理想。本研究旨在通过评估观察者间变异性(IOV),研究术前磁共振(MR)模拟划线的可行性:方法:对接受保乳手术且未植入手术夹的患者进行术前磁共振和术后 CT 模拟。使用定制的固定垫以确保相同的仰卧姿势。三位放射肿瘤专家分别根据 MR 和 CT 模拟注册图像以及单独的 CT 模拟图像对肿瘤床的 CTV 进行了划分。根据 CT 模拟图像上肿瘤床的清晰度,对每位患者进行空洞可视化评分(CVS)。IOV 用广义符合性指数(CIgen)(表示为 CIgen-CT 和 CIgen-MR/CT)和肿块中心距(dCOM)(表示为 dCOMCT 和 dCOMMR/CT)表示。结果:本研究共纳入 10 名患者。所有患者肿瘤最大病理直径的中位数和四分位数间距(IQR)均为 1.55(0.80-1.92)厘米。CT模拟图像和MR/CT模拟登记图像上的CTV体积之间没有统计学意义(P = 0.387)。CIgen-MR/CT明显大于CIgen-CT(p = 0.005),dCOMMR/CT明显小于dCOMCT(p = 0.037)。所有患者的 CVS 中位数和 IQR 均为 2.34 (2.00-3.08)。CIgen-MR/CT 和 CIgen-CT 之间的 CIgen 差异在低 CVS 组更大(p = 0.016)。当 CVS 较低时,dCOM 的差异呈下降趋势,但未达到统计学意义(p = 0.095):结论:对于未植入手术夹而接受保乳手术的患者,术前使用磁共振模拟来划定肿瘤床的 CTV 降低了观察者之间的 IOV。肿瘤床识别的一致性得到了提高,尤其是在 CT 模拟图像上难以观察到肿瘤床边缘的病例中。研究结果为减少局部复发和降低对周围组织的刺激提供了潜在的益处。未来有必要在更大的患者群体中进行研究,以验证我们的结果。
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
BMC Cancer
BMC Cancer 医学-肿瘤学
CiteScore
6.00
自引率
2.60%
发文量
1204
审稿时长
6.8 months
期刊介绍: BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.
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