Suppr超能文献

失败模式引导的头颈部癌患者生物靶区定义:FDG-PET及剂量递增候选子区域的剂量学分析

Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions.

作者信息

Mohamed Abdallah S R, Cardenas Carlos E, Garden Adam S, Awan Musaddiq J, Rock Crosby D, Westergaard Sarah A, Brandon Gunn G, Belal Abdelaziz M, El-Gowily Ahmed G, Lai Stephen Y, Rosenthal David I, Fuller Clifton D, Aristophanous Michalis

机构信息

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA; Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, Egypt.

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.

出版信息

Radiother Oncol. 2017 Aug;124(2):248-255. doi: 10.1016/j.radonc.2017.07.017. Epub 2017 Jul 31.

Abstract

BACKGROUND

To identify the radio-resistant subvolumes in pretreatment FDG-PET by mapping the spatial location of the origin of tumor recurrence after IMRT for head-and-neck squamous cell cancer to the pretreatment FDG-PET/CT.

METHODS

Patients with local/regional recurrence after IMRT with available FDG-PET/CT and post-failure CT were included. For each patient, both pre-therapy PET/CT and recurrence CT were co-registered with the planning CT (pCT). A 4-mm radius was added to the centroid of mapped recurrence growth target volumes (rGTV's) to create recurrence nidus-volumes (NVs). The overlap between boost-tumor-volumes (BTV) representing different SUV thresholds/margins combinations and NVs was measured.

RESULTS

Forty-seven patients were eligible. Forty-two (89.4%) had type A central high dose failure. Twenty-six (48%) of type A rGTVs were at the primary site and 28 (52%) were at the nodal site. The mean dose of type A rGTVs was 71Gy. BTV consisting of 50% of the maximum SUV plus 10mm margin was the best subvolume for dose boosting due to high coverage of primary site NVs (92.3%), low average relative volume to CTV1 (41%), and least average percent voxels outside CTV1 (19%).

CONCLUSIONS

The majority of loco-regional recurrences originate in the regions of central-high-dose. When correlated with pretreatment FDG-PET, the majority of recurrences originated in an area that would be covered by additional 10mm margin on the volume of 50% of the maximum FDG uptake.

摘要

背景

通过将头颈部鳞状细胞癌调强放疗(IMRT)后肿瘤复发起源的空间位置映射到治疗前的氟代脱氧葡萄糖正电子发射断层扫描(FDG-PET),以识别治疗前FDG-PET中的放射抗拒子体积。

方法

纳入IMRT后出现局部/区域复发且有可用的FDG-PET/CT和失败后CT的患者。对于每位患者,治疗前PET/CT和复发CT均与计划CT(pCT)进行配准。在映射的复发生长靶体积(rGTV)的质心处添加4毫米半径,以创建复发病灶体积(NV)。测量代表不同SUV阈值/边界组合的增强肿瘤体积(BTV)与NV之间的重叠。

结果

47例患者符合条件。42例(89.4%)为A型中心高剂量失败。26例(48%)A型rGTV位于原发部位,28例(52%)位于淋巴结部位。A型rGTV的平均剂量为71Gy。由最大SUV的50%加10毫米边界组成的BTV是剂量增强的最佳子体积,因为其对原发部位NV的覆盖率高(92.3%),相对于CTV1的平均相对体积低(41%),且CTV1外的平均体素百分比最少(19%)。

结论

大多数局部区域复发起源于中心高剂量区域。当与治疗前FDG-PET相关联时,大多数复发起源于最大FDG摄取量的50%体积上额外10毫米边界所覆盖的区域。

相似文献

3
Is image registration of fluorodeoxyglucose-positron emission tomography/computed tomography for head-and-neck cancer treatment planning necessary?
Int J Radiat Oncol Biol Phys. 2012 Nov 1;84(3):748-54. doi: 10.1016/j.ijrobp.2011.12.071. Epub 2012 Mar 11.
4
Influence of FDG-PET on primary nodal target volume definition for head and neck carcinomas.
Acta Oncol. 2016 Sep-Oct;55(9-10):1099-1106. doi: 10.1080/0284186X.2016.1182643. Epub 2016 May 24.
7
Geometric analysis of loco-regional recurrences in relation to pre-treatment hypoxia in patients with head and neck cancer.
Acta Oncol. 2017 Nov;56(11):1571-1576. doi: 10.1080/0284186X.2017.1372626. Epub 2017 Sep 11.
10
Primary tumor delineation based on (18)FDG PET for locally advanced head and neck cancer treated by chemo-radiotherapy.
Radiother Oncol. 2015 Jul;116(1):87-93. doi: 10.1016/j.radonc.2015.06.007. Epub 2015 Jun 15.

引用本文的文献

1
Defining failure patterns and dynamics in locally advanced pharyngeal and laryngeal SCC following radiotherapy: Real-World Insights in the modern Era!
Clin Transl Radiat Oncol. 2025 Aug 7;55:101026. doi: 10.1016/j.ctro.2025.101026. eCollection 2025 Nov.
3
Patterns of failure for recurrent head and neck squamous cell carcinoma treated with salvage surgery and postoperative IMRT reirradiation.
Clin Transl Radiat Oncol. 2023 Nov 7;44:100700. doi: 10.1016/j.ctro.2023.100700. eCollection 2024 Jan.
6
FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer.
Clin Transl Radiat Oncol. 2021 Jun 6;29:93-101. doi: 10.1016/j.ctro.2021.05.011. eCollection 2021 Jul.
7
Effectiveness of the No action level protocol for head & neck patients - Time considerations.
Rep Pract Oncol Radiother. 2020 Sep-Oct;25(5):828-831. doi: 10.1016/j.rpor.2020.04.005. Epub 2020 Apr 12.
8
Imaging for Target Delineation and Treatment Planning in Radiation Oncology: Current and Emerging Techniques.
Hematol Oncol Clin North Am. 2019 Dec;33(6):963-975. doi: 10.1016/j.hoc.2019.08.008. Epub 2019 Sep 17.
10
PET/MRI-guided GTV delineation during radiotherapy planning in patients with squamous cell carcinoma of the tongue.
Strahlenther Onkol. 2019 Sep;195(9):780-791. doi: 10.1007/s00066-019-01480-3. Epub 2019 Jun 18.

本文引用的文献

2
Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy.
Crit Rev Oncol Hematol. 2016 Dec;108:40-51. doi: 10.1016/j.critrevonc.2016.10.009. Epub 2016 Oct 29.
5
PET/CT imaging-guided dose painting in radiation therapy.
Cancer Lett. 2014 Dec 28;355(2):169-75. doi: 10.1016/j.canlet.2014.07.042. Epub 2014 Sep 10.
7
Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial.
Radiother Oncol. 2013 Jun;107(3):310-6. doi: 10.1016/j.radonc.2013.04.002. Epub 2013 May 3.
9
FDG-PET and diffusion-weighted MRI in head-and-neck cancer patients: implications for dose painting.
Radiother Oncol. 2013 Feb;106(2):250-4. doi: 10.1016/j.radonc.2013.01.003. Epub 2013 Feb 8.
10
Hypoxia-targeted radiotherapy dose painting for head and neck cancer using (18)F-FMISO PET: a biological modeling study.
Acta Oncol. 2013 Nov;52(8):1723-9. doi: 10.3109/0284186X.2012.759273. Epub 2013 Jan 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验