Comparative analysis of different injection volumes of <sup>99m</sup>Tc-sulfur colloid for sentinel lymph node detection in early-stage breast cancer

LU Xiaoling; YUAN Huiyu; CAO Tianye; LI Yongxia; MA Guang; LU Linjun; PAN Herong; YANG Zhongyi; CHENG Jingyi; ZHANG Yingjian

您当前的位置：

首页 >

文章列表页 >

Comparative analysis of different injection volumes of ^99mTc-sulfur colloid for sentinel lymph node detection in early-stage breast cancer

更新时间：2026-06-18

- Comparative analysis of different injection volumes of ^99mTc-sulfur colloid for sentinel lymph node detection in early-stage breast cancer
- Vol. 26, Issue 3, Pages: 193-198(2017)
- 作者机构：
  
  1. 上海市质子重离子医院核医学科,上海,201315
  2. 复旦大学附属肿瘤医院核医学科，复旦大学上海医学院肿瘤学系,上海,200032
  3. 复旦大学生物医学影像研究中心,上海,200032
  4. 上海分子影像探针工程技术研究中心,上海,200032
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：14 August 2017，
  
  Published：14 August 2017
- 稿件说明：
移动端阅览
陆晓聆,袁慧瑜,曹天野,等. ^99mTc-硫胶体不同注射体积在乳腺癌前哨淋巴结定位中的对比分析[J]. 肿瘤影像学, 2017, 26(3): 193-198
DOI：

陆晓聆,袁慧瑜,曹天野,等. ^99mTc-硫胶体不同注射体积在乳腺癌前哨淋巴结定位中的对比分析[J]. 肿瘤影像学, 2017, 26(3): 193-198 DOI：

摘要

目的：

探讨

99m

Tc-硫胶体(sulfur colloid，SC)用于早期乳腺癌前哨淋巴结(sentinel lymph node，SLN)活检术的最适注射体积。

方法：

选择原发性乳腺癌(T

1~2

)、乳房为中小型-致密型患者150例，按

99m

Tc-SC注射体积不同分为0.5、1、1.5 mL 3组(每组n=50)，术前1 d瘤周深部两点法注射(37 MBq/点)，2 h后SPECT显像。比较3组患者腋窝SLN (axillary SLN，ASLN)及内乳SLN (internal mammary SLN，IM-SLN)显像检出率。

结果：

各组总检出率、ASLN检出率和IM-SLN检出率分别为：96%(48/50)、94%(47/50)、74%(37/50)，90%(45/50)、82%(41/50)、68%(34/50)，52%(26/50)、32%(16/50)、18%(19/50)。总SLN和ASLN检出率在0.5 mL与1 mL组之间无统计学差异，但0.5 mL与1.5 mL组之间有统计学差异(

=0.001和0.004)；IM-SLN检出率在0.5 mL组与其他两组之间有显著性差异(

＜0.05)。各组注射疼痛评分分别为3.341.02、4.581.31和5.061.42，疼痛持续时间分别为(3.821.64)、(6.004.48)和(6.584.77)min。0.5 mL组疼痛评分、持续时间显著弱于其他两组(

＜0.001)。

结论：

在中小型-致密型乳房患者中，示踪剂注射体积仅为0.5 mL/点即能获得较好的SLN检出率，且对定位IM-SLN有一定优势；同时小体积注射伴随较少的疼痛感，改善了患者舒适度。

Abstract

Objective:

To investigate the optimal injection volume of

99m

Tc-sulfur colloid (SC) for sentinel lymph node biopsy in early-stage breast cancer.

Methods:

A total of 150 early-stage breast

cancer patients (T

1-2

)(small-medium sized

dense breasts) were enrolled in the study. All patients were given deep injection of

99m

Tc-SC in two peritumoral points (37 MBq/point) one day before operation

and assigned to three groups (0.5 mL

1 mL and 1.5 mL) according to injection volume (n=50 each group). SPECT was performed 2 h post injection. The detection rates of axillary SLN (ASLN) and internal mammary SLN (IMSLN) by lymphoscintigraphy in all groups were compared.

Results:

The overall SLN detection rates were 96% (48/50 ) in 0.5 mL group

94% (47/50) in 1 mL group and 74% (37/50) in 1.5 mL group; ASLN detection rates were 90% (45/50)

82% (41/50) and 68% (34/50)

respectively; IM-SLN detection rates were 52% (26/50)

32% (16/50) and 18% (9/50)

respectively. There was no significant difference in the overall SLN detection rate and ASLN detection rate between groups 0.5 mL and 1 mL. But there was significant differences between groups 0.5 mL and 1.5 mL (

=0.001 and 0.004). For IM-SLN detection rate

there were statistical difference between 0.5 mL group and other two groups (

0.001). Injection pain scores were 3.341.02

4.581.31

5.061.42

and pain duration were (3.821.64)

(6.004.48) and (6.584.77) min from lower volume group to higher volume group. Group 0.5 mL had lowest injective pain score and shortest pain duration in three groups (

0.001).

Conclusion:

0.5 mL/point is the optimal injection volume in small-medium sized dense breasts

with higher SLN detection rate and higher sensitivity in IM-SLN localization. Less injection volume could decrease the pain and improve the comfort degree.

关键词

Keywords

references

Views

1747

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application value of a multifactorial predictive model based on clinical, pathological, and ultrasound features in the preoperative assessment of lymphovascular invasion in breast cancer

The value of automatic segmentation radiomics features in predicting pathological complete response after neoadjuvant therapy for breast cancer

Evaluation of neoadjuvant chemotherapy response for breast cancer with artificial intelligence assisted imaging ZHANG Nan1, ZHANG Yafang2, ZHOU Qi3

Diagnostic value of ultrasonic VTIQ combined with MRI in axillary lymph node metastasis of breast cancer

Diagnostic performance of artificial intelligence ChatGPT-4V in differentiating benign and malignant breast lesions on ultrasound

Related Author

TANG Gege

ZHAN Yunyun

BI Yu

WANG Jiajia

WU Xiabi

PENG Mei

WU Linyong

LI Shaofeng

Related Institution

Department of Ultrasound Medicine, The Second Hospital of Anhui Medical University

Department of Ultrasound, Maoming People's Hospital

Department of Breast Surgery, Tangshan People's Hospital

Department of Magnetic Resonance Imaging, Tangshan People's Hospital

Department of Breast Surgery Ⅲ, Tangshan People's Hospital

AI问答

⁰

Comparative analysis of different injection volumes of 99mTc-sulfur colloid for sentinel lymph node detection in early-stage breast cancer

DOI：

摘要

Abstract

关键词

Keywords

references

Comparative analysis of different injection volumes of ^99mTc-sulfur colloid for sentinel lymph node detection in early-stage breast cancer