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提高间质高剂量率乳腺植入物的剂量覆盖范围。

Improving the dosimetric coverage of interstitial high-dose-rate breast implants.

作者信息

Kestin L L, Jaffray D A, Edmundson G K, Martinez A A, Wong J W, Kini V R, Chen P Y, Vicini F A

机构信息

Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI 48073, USA.

出版信息

Int J Radiat Oncol Biol Phys. 2000 Jan 1;46(1):35-43. doi: 10.1016/s0360-3016(99)00361-2.

DOI:10.1016/s0360-3016(99)00361-2
PMID:10656370
Abstract

PURPOSE/OBJECTIVE: We performed a retrospective computed tomography (CT)-based three-dimensional (3D) dose-volume analysis of high-dose-rate (HDR) interstitial breast implants to evaluate the adequacy of lumpectomy cavity coverage, and then designed a simple, reproducible algorithm for dwell-time adjustment to correct for underdosage of the lumpectomy cavity.

METHODS AND MATERIALS

Since March 1993, brachytherapy has been used as the sole radiation modality after lumpectomy in selected protocol patients with early-stage breast cancer treated with breast-conserving therapy. In this protocol, all patients received 32 Gy in 8 fractions of 4 Gy over 4 days. Eleven patients treated with HDR brachytherapy who underwent CT scanning after implant placement were included in this analysis. For each patient, the postimplant CT dataset was transferred to a 3D treatment planning system, and the relevant tissue volumes were outlined on each axial slice. The implant dataset, including the dwell positions and dwell times, were imported into the 3D planning system and then registered to the visible implant template in the CT dataset. The calculated dose distribution was analyzed with respect to defined volumes via dose-volume histograms. Due to the variability of lumpectomy cavity coverage discovered in this 3D quality assurance analysis, dwell times at selected positions were adjusted in an attempt to improve dosimetric coverage of the lumpectomy cavity. Using implant data from 5 cases, a dwell-time adjustment algorithm was designed and was then tested on 11 cases. In this algorithm, a point P was identified using axial CT images, which was representative of the underdosed region within the cavity. The distance (d) from point P to the nearest dwell position was measured. A number of dwell positions (N) nearest to point P were selected for dwell time adjustment. The algorithm was tested by increasing the dwell times of a variable number of positions (N = 1, 3, 5, 7, 10, and 20) by a weighting factor (alpha), where alpha = f(d) and alpha > 1, and subsequently performing 3D dose-volume analysis to evaluate the improvement in lumpectomy cavity coverage.

RESULTS

Before adjustment in the 11 implants, the median proportion of the lumpectomy cavity and target volume that received at least the prescription dose was 85% and 68%, respectively. After dwell-time adjustment, lumpectomy cavity coverage was significantly improved in all 11 cases. The median distance from point P to the nearest dwell position (d) was 1.4 cm (range 0.9-1.9). The median volume of the lumpectomy cavity receiving 32 Gy increased from 85.3% in the actual implant to 97.0% (range 74-100%) by increasing the dwell time of a single dwell position by a median factor (alpha) of 12.2 according to the above algorithm. With N = 3, the median proportion of the cavity volume receiving 32 Gy was improved to 97.5% (range 77-100%), with a median alpha of 5.7. Further improvement in lumpectomy cavity coverage was relatively small by increasing additional dwell times. In addition, with N = 20, the median absolute volume of breast tissue receiving 150% of the prescription dose was 70.3 cm3 compared to 26.3 cm3 in the actual implant; whereas with N = 1 or N = 3, this median volume was only 35.9 and 42.0 cm3, respectively.

CONCLUSION

Lumpectomy cavity coverage sometimes appears suboptimal with interstitial HDR breast brachytherapy using our current technique. A simple dwell-time increase at only 1-3 dwell positions can compensate for some underdosage without creating significant regions of overdosage. Using simple methodology, a single reference point representing the underdosed region can be utilized for initial selection of the dwell positions to be increased.

摘要

目的/目标:我们对高剂量率(HDR)组织间乳腺植入物进行了基于计算机断层扫描(CT)的三维(3D)剂量体积分析,以评估保乳手术腔覆盖的充分性,然后设计了一种简单、可重复的驻留时间调整算法,以纠正保乳手术腔的剂量不足。

方法和材料

自1993年3月以来,近距离放射治疗一直被用作保乳治疗的早期乳腺癌选定方案患者保乳手术后的唯一放疗方式。在此方案中,所有患者在4天内分8次给予32 Gy,每次4 Gy。本分析纳入了11例接受HDR近距离放射治疗且植入后进行了CT扫描的患者。对于每位患者,将植入后的CT数据集传输到3D治疗计划系统,并在每个轴位切片上勾勒出相关组织体积。将包括驻留位置和驻留时间的植入数据集导入3D计划系统,然后与CT数据集中可见的植入模板进行配准。通过剂量体积直方图分析计算出的剂量分布相对于定义体积的情况。由于在这种3D质量保证分析中发现保乳手术腔覆盖存在差异,因此对选定位置的驻留时间进行了调整,以试图改善保乳手术腔的剂量覆盖。利用5例患者的植入数据设计了一种驻留时间调整算法,然后在11例患者上进行了测试。在该算法中,使用轴位CT图像确定一个点P,它代表腔内剂量不足区域。测量点P到最近驻留位置的距离(d)。选择最接近点P的若干驻留位置(N)进行驻留时间调整。通过将可变数量位置(N = 1、3、5、7、10和20)的驻留时间增加一个加权因子(α)来测试该算法,其中α = f(d)且α>1,随后进行3D剂量体积分析以评估保乳手术腔覆盖的改善情况。

结果

在11个植入物调整前,接受至少处方剂量的保乳手术腔和靶体积的中位数比例分别为85%和68%。驻留时间调整后,所有11例患者的保乳手术腔覆盖均有显著改善。点P到最近驻留位置的中位数距离(d)为1.4 cm(范围0.9 - 1.9 cm)。根据上述算法,通过将单个驻留位置的驻留时间增加中位数因子(α)12.2,接受32 Gy的保乳手术腔的中位数体积从实际植入时的85.3%增加到97.0%(范围74 - 100%)。当N = 3时,接受32 Gy的腔体积的中位数比例提高到97.5%(范围77 - 100%),中位数α为5.7。通过增加额外的驻留时间,保乳手术腔覆盖的进一步改善相对较小。此外,当N = 20时,接受150%处方剂量的乳腺组织的中位数绝对体积为70.3 cm³,而实际植入时为26.3 cm³;而当N = 1或N = 3时,该中位数体积分别仅为35.9和42.0 cm³。

结论

使用我们当前的技术,组织间HDR乳腺近距离放射治疗时保乳手术腔覆盖有时似乎不理想。仅在1 - 3个驻留位置简单增加驻留时间可以补偿一些剂量不足,而不会产生明显的过量照射区域。使用简单的方法,可以利用代表剂量不足区域的单个参考点来初步选择要增加驻留时间的位置。

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