| 尚士钰,高献书,吕峰,高研,商兆财,任雪盈,陈佳琰,刘沛霖,张敏.3D打印组织补偿物对浅表肿瘤X射线照射补偿效果的实验研究[J].中华放射医学与防护杂志,2023,43(7):518-523 |
| 3D打印组织补偿物对浅表肿瘤X射线照射补偿效果的实验研究 |
| Assessment of 3D-printed tissue compensators for superficial tumor X-ray radiation compensation |
| 投稿时间：2023-02-23 |
| DOI：10.3760/cma.j.cn112271-20230223-00050 |
| 中文关键词: 三维打印|组织补偿物|浅表肿瘤 |
| 英文关键词:3D printing|Tissue compensator|Superficial tumor |
| 基金项目:国家自然科学基金(82271771);北京市自然科学基金(7182164);中央高水平医院临床科研业务费(北京大学第一医院科研种子基金项目,2023SF04) |
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| 中文摘要: |
| 目的 探索3D打印组织补偿物在不规则部位浅表肿瘤放疗中的优势。方法 构建裸鼠前列腺癌皮下移植瘤模型,按单纯随机抽样法分为无组织补偿物组、普通组织补偿物组及3D打印组织补偿物组,每组6只。采集3D打印组织补偿物组的裸鼠CT图像,使用聚乳酸(PLA)制作补偿物模型,通过测量电子密度评估材料的性能。获取覆盖对应组织补偿物后的3组定位CT图像,勾画大体肿瘤区(GTV)。使用6 MV X射线,按照处方剂量对3组裸鼠照射。3组的处方剂量均为1 500 cGy,使用Eclipse 13.5治疗计划系统各项特异性分析算法(AAA)计算并比较3组GTV的剂量分布,金属-氧化物半导体场效应晶体管(MOSFET)验证裸鼠皮肤表面实际接收剂量。结果 使用3D打印组织补偿物的空气间隙为(0.20±0.07)cm3,普通组织补偿物的空气间隙为(0.37±0.07)cm3(t=4.02,P<0.01);无组织补偿物组、普通组织补偿物组、3D打印组织补偿物组的靶区D95%分别为(1 188.58±92.21)、(1 369.90±146.23)和(1 440.29±45.78)cGy(F=9.49,P<0.01),D98%分别为(1 080.13±88.30)、(1 302.76±158.43)和(1 360.23±48.71)cGy(F=11.17,P<0.01),Dmean分别为(1 549.08±44.22)、 (1 593.05±65.40)和(1 638.87±40.83)cGy(F=4.59,P<0.05);实测浅表剂量分别为(626.03±26.75)、(1 259.83±71.94)和(1 435.30±67.22)cGy(F=263.20,P<0.001)。普通组织补偿物组与3D打印组织补偿物组裸鼠照射后肿瘤体积增长百分比变化不明显,差异无统计学意义(P>0.05)。结论 3D打印组织补偿物与体表的贴合性好,减少了空气间隙,提高了靶区临近体表的剂量,为一些不规则部位的浅表肿瘤放疗提供思路。 |
| 英文摘要: |
| Objective To investigate the advantage of three dimensional (3D)-printed tissue compensators in radiotherapy for superficial tumors at irregular sites. Methods A subcutaneous xenograft model of prostate cancer in nude mice was established. Mice were randomly divided into no tissue compensator group(n=6), common tissue compensator group(n=6), and 3D-printed tissue compensator group(n=6). Computed tomography (CT) images of nude mice in the 3D-printed tissue compensator group were acquired. Compensator models were made using polylactic acid, and material properties were evaluated by measuring electron density. CT positioning images of the three groups after covering the corresponding tissue compensators were acquired to delineate the gross tumor volume (GTV). Nude mice in the three groups were irradiated with 6 MV X-rays at the prescribed dose. The prescribed dose for the three groups was 1 500 cGy. The dose distribution in the GTV of the three groups was calculated and compared using the analytical anisotropic algorithm in the Eclipse 13.5 treatment planning system. The metal-oxide-semiconductor field-effect transistor was used to verify the actual dose received on the skin surface of nude mice. Results The air gap in the 3D-printed tissue compensator group and the common tissue compensator group was 0.20±0.07 and 0.37±0.07 cm3, respectively (t=4.02, P<0.01). For the no tissue compensator group, common tissue compensator group, and 3D-printed tissue compensator group, the D95% in the target volume was (1 188.58±92.21), (1 369.90±146.23), and (1 440.29±45.78) cGy, respectively (F=9.49, P<0.01). D98% was (1 080.13±88.30), (1 302.76±158.43), and (1 360.23±48.71) cGy, respectively (F=11.17, P<0.01). Dmean was (1 549.08±44.22), (1 593.05±65.40), and (1 638.87±40.83) cGy, respectively (F=4.59, P<0.05). The measured superficial dose was (626.03±26.75), (1 259.83±71.94), and (1 435.30±67.22) cGy, respectively (F=263.20, P<0.001). The percentage variation in tumor volume growth after radiation was not significantly different between the common tissue compensator group and the 3D-printed tissue compensator group (P>0.05). Conclusions 3D-printed tissue compensators fit well to the body surface, which reduces air gaps, effectively increases the dose on the body surface near the target volume, and provides ideas for radiotherapy for superficial tumors at some irregular sites. |
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