Technical note: Atlas-based Auto-segmentation of masticatory muscles for head and neck cancer radiotherapy.
Technical note: Atlas-based Auto-segmentation of masticatory muscles for head and neck cancer radiotherapy.
复制标题
DOI：
10.1002/acm2.13008
复制
发表时间：
2020-10
影响因子：
2.1
通讯作者：
Rong Y
中科院分区：
文献类型：
--
作者：
Zhang X;Chen H;Chen W;Dyer BA;Chen Q;Benedict SH;Rao S;Rong Y
该研究旨在使用定量几何和剂量测定指标来评估与手动绘制头颈癌（HNC）放疗（RT）轮廓相比，咀嚼肌（咀嚼肌）基于图谱的自动分割的准确性。分析了58例接受RT治疗的HNC患者。在计划计算机断层扫描（CT）图像上手动描绘所有患者的成对肌（咬肌、颞肌、内侧和外侧翼肌）。29名患者用于生成MM图谱。使用该图谱，对其余29名患者进行自动分割，无需手动校正。使用骰子相似性系数（DSC）、豪斯多夫距离（HD）、HD95和质心变化（VCOM）比较了自动分割的准确性。使用剂量学参数（D99%、D95%、D50%和D1%）计算对放射性的剂量学影响（放射性剂量），并与几何指数进行比较，以检验相关性。DSC平均值范围为0.79 ± 0.04至0.85 ± 0.04，HD平均值范围为0.43 ± 0.08至0.82 ± 0.26 cm，HD95平均值范围为0.32 ± 0.08至0.42 ± 0.16 cm，而DSCOM平均值范围为0.18 ± 0.11至0.33 ± 0.23 cm。平均MM体积差异<15%。四个辐射源的几何和剂量指数的相关系数（r）在−0.456和0.300之间。与手动绘制的轮廓相比，基于Atlas的咀嚼肌自动分割可提供几何准确的轮廓。从这些自动分割轮廓获得的剂量与手动绘制轮廓获得的剂量相当。HN放疗中MM的基于Atlas的自动分割策略可随时用于临床实施。
The study aimed to use quantitative geometric and dosimetric metrics to assess the accuracy of atlas‐based auto‐segmentation of masticatory muscles (MMs) compared to manual drawn contours for head and neck cancer (HNC) radiotherapy (RT). Fifty‐eight patients with HNC treated with RT were analyzed. Paired MMs (masseter, temporalis, and medial and lateral pterygoids) were manually delineated on planning computed tomography (CT) images for all patients. Twenty‐nine patients were used to generate the MM atlas. Using this atlas, automatic segmentation of the MMs was performed for the remaining 29 patients without manual correction. Auto‐segmentation accuracy for MMs was compared using dice similarity coefficients (DSCs), Hausdorff distance (HD), HD95, and variation in the center of mass (∆COM). The dosimetric impact on MMs was calculated (∆dose) using dosimetric parameters (D99%, D95%, D50%, and D1%), and compared with the geometric indices to test correlation. DSCmean ranges from 0.79 ± 0.04 to 0.85 ± 0.04, HDmean from 0.43 ± 0.08 to 0.82 ± 0.26 cm, HD95mean from 0.32 ± 0.08 to 0.42 ± 0.16 cm, and ∆COMmean from 0.18 ± 0.11 to 0.33 ± 0.23 cm. The mean MM volume difference was < 15%. The correlation coefficient (r) of geometric and dosimetric indices for the four MMs ranges between −0.456 and 0.300. Atlas‐based auto‐segmentation for masticatory muscles provides geometrically accurate contours compared to manual drawn contours. Dose obtained from those auto‐segmented contours is comparable to that from manual drawn contours. Atlas‐based auto‐segmentation strategy for MM in HN radiotherapy is readily availalbe for clinical implementation.
登录
查看更多内容
用于术后前列腺癌放射疗法的基于ATLA的分割软件的比较。
影响因子：
4.7
作者：
Delpon G;Escande A;Ruef T;Darréon J;Fontaine J;Noblet C;Supiot S;Lacornerie T;Pasquier D
通讯作者：
Pasquier D
影响因子：
2.3
作者：
Ayyalusamy, Anantharaman;Vellaiyan, Subramani;Madineni, Aneesha
通讯作者：
Madineni, Aneesha
DOI：
10.1186/1748-717x-8-154
发表时间：
2013-06-26
期刊：
Radiation oncology (London, England)
影响因子：
--
作者：
Daisne JF;Blumhofer A
通讯作者：
Blumhofer A
DOI：
10.1016/j.ijrobp.2009.06.012
发表时间：
2010-07-01
影响因子：
7
作者：
Tsuji, Stuart Y.;Hwang, Andrew;Xia, Ping
通讯作者：
Xia, Ping
DOI：
10.3109/0284186x.2015.1037864
发表时间：
2016
期刊：
Acta oncologica (Stockholm, Sweden)
影响因子：
--
作者：
Rao SD;Saleh ZH;Setton J;Tam M;McBride SM;Riaz N;Deasy JO;Lee NY
通讯作者：
Lee NY