Literature DB >> 34025732

Dosimetric comparison of computed tomography-guided iodine-125 seed implantation assisted with and without three-dimensional printing non-coplanar template in locally recurrent rectal cancer: a propensity score matching study.

Lu Wang1, Hao Wang1, Yuliang Jiang1, Zhe Ji1, Fuxin Guo1, Ping Jiang1, Bin Qiu1, Haitao Sun1, Jinghong Fan1, Weiyan Li1, Junjie Wang1.   

Abstract

PURPOSE: To compare post-implant dosimetric parameters of computed tomography (CT)-guided radioactive iodine-125 (125I) seed (RIS) implantation assisted with and without three-dimensional printing non-coplanar template (3D-PNCT) in locally recurrent rectal cancer (LRRC).
MATERIAL AND METHODS: One hundred and fifty-five LRRC patients treated by CT-guided RIS implantation assisted with or without 3D-PNCT from October 2003 to May 2019 were included in this study. Propensity score matching (PSM) method (1 : 1) was used to adjust for differences between the 3D-group (with 3D-PNCT) and the CT-group (without 3D-PNCT). After PSM, dosimetric parameters [D90 (dose that covered 90% of target volume), D100 (dose that covered 100% of target volume), V100 (percentage of gross tumor volume (GTV) receiving 100% of prescription dose), V150 (percentage of GTV receiving 150% of prescription dose), HI (homogeneity index), CI (conformity index), and EI (external index)] of the two groups were compared.
RESULTS: After PSM, 45 pairs of matched cases were selected for analysis and differences in variables between the two groups were balanced. For the 3D-group, median values of D90, D100, V100, V150, EI, and HI were 142.6 Gy (73.7-218.2 Gy), 73.7 Gy (26.2-169.3 Gy), 94.1% (74.3-100%), 71.8% (35.4-98.3%), 0.7 (0.1-30.7), and 0.20 (0-0.60), respectively, and corresponding values were 119.9 Gy (39.8-159.3 Gy), 47.0 Gy (13.0-200.9 Gy), 89.9% (38.6-100%), 62.8% (14.8-100%), 0.39 (0-11.01), and 0.30 (0-0.95), respectively, for the CT-group. Parameters including D90, D100, V100, V150, and EI in the 3D-group were significantly higher than those in the CT-group (p < 0.001, p < 0.001, p < 0.001, p < 0.001, and p = 0.006, respectively).
CONCLUSIONS: 3D-PNCT can improve the accuracy of radioactive seed implantation by increasing the dose delivered to the tumor and reducing the number of "cold" spots of dose.
Copyright © 2020 Termedia.

Entities:  

Keywords:  3D printing template; dosimetry; locally recurrent rectal cancer; seed implantation

Year:  2021        PMID: 34025732      PMCID: PMC8117706          DOI: 10.5114/jcb.2021.103582

Source DB:  PubMed          Journal:  J Contemp Brachytherapy        ISSN: 2081-2841


Purpose

Radioactive iodine-125 (125I) seed (RIS) implantation has the advantages of delivering a high-dose in the target volume, sharp dose fall-off around the tumor, and a lower amount of irradiation to the surrounding organs at risk (OARs). The safety and efficacy of RIS have been confirmed, and RIS is widely used in the treatment of various tumors, including prostate cancer [1], head and neck cancer [2], lung cancer [3], pancreatic cancer [4], and rectal cancer [5]. The therapeutic effect of RIS implantation depends on the spatial distribution of dose, which is in turn dependent on the distribution of implantation needles (needle position, direction, and depth) and the arrangement of seeds. Therefore, it is essential to improve the accuracy of RIS implantation. The efficacy of free-hand computed tomography (CT)-guided RIS implantation is predominantly influenced by operator experience, complex anatomical structure, and irregular borders of the tumor. To further improve the accuracy of RIS implantation, Huang et al. were the first to employ three-dimensional printing non-coplanar template (3D-PNCT) for CT-guided RIS implantation in the treatment of head and neck tumor [6], and their results were proved safe, effective, and accurate [7,8,9]. However, few studies have compared dosimetric parameters of CT-guided RIS implantation assisted with and without 3D-PNCT. In this study, the differences in the dosimetric parameters of patients with locally recurrent rectal cancer (LRRC) treated by CT-guided RIS implantation with (3D-group) and without 3D-PNCT (CT-group) were investigated using propensity score matching method.

Material and methods

Patient enrollment and clinical characteristics

Data of 155 LRRC patients who were treated by CT-guided RIS implantation with or without 3D-PNCT in our department from October 2003 to May 2019 were retrospectively analyzed. This study was approved by the Institutional Ethics Committee of our hospital (No. IRB00006761). All patients selected for RIS implantation met the following criteria: 1) pathologically diagnosed as LRRC, 2) extraluminal pelvic recurrence, without distal metastasis or with controllable oligometastasis, 3) tumor diameter ≤ 7 cm, 4) suitable puncture access, 5) no bleeding tendency, 6) Karnofsky performance status > 70, 7) life expectation ≥ 3 months. The patients began to be treated by CT-guided RIS implantation with 3D-PNCT when the technology was introduced into our department in 2015. The clinical characteristics of all patients are shown in Table 1.
Table 1

Clinical characteristics of all patients

CharacteristicsValue
Sex
Male103
Female52
Age (years), average ± standard deviation57.1 ±11.3
Histopathology
Adenocarcinoma151
Squamous carcinoma1
Adenosquamous carcinoma3
Previous surgery
None3
Once124
Twice27
Three times1
Cumulative dose in the pelvis, EQD2 (Gy)
< 5079
50-10048
> 10017
Unclear11
Courses of previous radiotherapy
013
1112
226
34
GTV (ml), median (range)48.1 (1.8-297.5)

EQD2 – equivalent dose in 2 Gy/fx, GTV – gross tumor volume

Clinical characteristics of all patients EQD2 – equivalent dose in 2 Gy/fx, GTV – gross tumor volume

Treatment procedures

Pre-operative CT localization and planning design

All patients underwent spiral CT two days before seed implantation. The prone or supine position was chosen according to the tumor site. Next, the patients were immobilized with vacuum pads, and their positioning lines were marked on skin surface. The CT data were transmitted to a brachytherapy treatment planning system (B-TPS). Then, oncologists and physicists designed the pre-operative plan, which included drawing of gross tumor volume (GTV) and OARs, setting of prescription dose and RIS activity, design of needle pathways, simulation of spatial seed distribution, and verification of dosimetric parameters.

Intra-operative procedures

CT-guided RIS implantation without 3D-PNCT assistance – the CT-group: Before December 2015, 91 patients underwent CT-guided RIS implantation without 3D-PNCT assistance. After local or spinal anesthesia, needles were inserted into the tumor and arranged in parallel with 1 cm intervals, extending 0.3-0.5 cm beyond the margin of the tumor. Then, the seeds were implanted with a Mick seed implantation gun and were spaced 0.5-1.0 cm apart. CT-guided RIS implantation assisted with 3D-PNCT – the 3D-group: From December 2015, individualized 3D-PNCT was utilized, and 64 patients were treated with CT-guided RIS implantation assisted by 3D-PNCT. A 3D rapid prototyping equipment printed the individualized 3D-PNCT with photo-curable resins according to the pre-operative design. The template contained the superficial anatomic characteristics of treatment area, needle pathways, and positioning markers. After anesthesia, we applied the 3D-PNCT on the pre-planned area according to the positioning markers. Then, the needles were inserted with the planned depth through the needle pathways in the temple. The seeds were implanted with a Mick gun according to the pre-operative plan (Figures 1 and 2).
Fig. 1

Pre-operative, intra-operative, and post-operative computed tomography (CT) images from CT-guided radioactive 125I seed (RIS) implantation assisted with three-dimensional printing non-coplanar template (3D-PNCT), respectively (left to right). A) The pre-operative plan in the brachytherapy treatment planning system (B-TPS), B) the actual position of needles during the operation, C) the distribution of RIS after implantation

Fig. 2

The procedure of computed tomography (CT)-guided radioactive 125I seed (RIS) implantation assisted with three-dimensional printing non-coplanar template (3D-PNCT). A) The pre-operative CT localization. The positioning lines were marked on the skin surface according to the laser lines, B) the 3D-PNCT that fitted the anatomic characteristics of treatment area on the skin surface and contained the information of needle pathways (position, direction, and depth), C) the 3D-PNCT fixed on the skin surface according to the positioning lines, D) the needles inserted into the planned depth through needle pathways in the 3D-PNCT

Pre-operative, intra-operative, and post-operative computed tomography (CT) images from CT-guided radioactive 125I seed (RIS) implantation assisted with three-dimensional printing non-coplanar template (3D-PNCT), respectively (left to right). A) The pre-operative plan in the brachytherapy treatment planning system (B-TPS), B) the actual position of needles during the operation, C) the distribution of RIS after implantation The procedure of computed tomography (CT)-guided radioactive 125I seed (RIS) implantation assisted with three-dimensional printing non-coplanar template (3D-PNCT). A) The pre-operative CT localization. The positioning lines were marked on the skin surface according to the laser lines, B) the 3D-PNCT that fitted the anatomic characteristics of treatment area on the skin surface and contained the information of needle pathways (position, direction, and depth), C) the 3D-PNCT fixed on the skin surface according to the positioning lines, D) the needles inserted into the planned depth through needle pathways in the 3D-PNCT

Post-operative dosimetry verification

All patients underwent a CT scan immediately after seed implantation to verify actual spatial distribution of seeds and to calculate dosimetric parameters. The dosimetric parameters were as follows: D90 (dose that covered 90% of target volume), D100 (dose that covered 100% of target volume), V100 (percentage of GTV receiving 100% of prescription dose), V150 (percentage of GTV receiving 150% of prescription dose), homogeneity index [10] (HI: the homogeneity of dose distribution, HI = (VT, ref – VT, 1.5ref)/VT, ref, where VT, ref, and VT, 1.5ref were the volume of GTV receiving prescription dose and the volume of GTV receiving 150% of the prescription dose (cm3), respectively), conformity index [11] (CI: the conformity of dose distribution, CI = (VT, ref/VT) × (VT, ref/Vref), where VT and Vref were the volume of GTV and the total volume receiving prescription dose (cm3), respectively), external index [10] (EI: the percentage of volume outside GTV that received exceeded prescription dose, EI = (Vref – VT, ref)/VT).

Statistical analysis

All the analyses were carried out using SPSS version 22.0 (IBM Corp., Armonk NY, USA). Normally distributed data were expressed as mean ± standard deviation, and non-normally distributed data were expressed as median and range. Categorical data were analyzed with χ2 test or Fisher’s exact test. Continuous data were evaluated using unpaired t-test for normally distributed data and Mann-Whitney U test for non-normally distributed data. Propensity scores were estimated with a logistic regression model to control the potential bias. Matching covariates included age, gender, GTV, and tumor location [12]. The 3D-group and CT-group were matched using a 1 : 1 nearest neighbor matching method, with a caliper lower than 0.1. The adequacy of the matching procedure was assessed with a standardized difference (StDiff). A difference of < 10% were considered well-balanced [13]. The differences in the post-operative dosimetric parameters between the matched groups were further compared. P-value < 0.05 was considered statistically significant. All p-values were two-sided.

Results

A total of 155 patients were enrolled in this study. The patients were divided into two groups (3D-group and CT-group). Variables, including age, gender, GTV, and tumor location were enrolled in propensity score matching (PSM). After PSM with a 1 : 1 ratio, both 3D-group and CT-group comprised 45 patients. No significant differences were observed in age (p = 0.673), gender (p = 0.480), GTV (p = 0.493), and tumor location (p = 0.953). The baseline characteristics of the two groups before and after PSM are presented in Table 2.
Table 2

Baseline characteristics balance before and after propensity score matching (PSM)

IndexBefore PSMAfter PSM
3D-group (n = 64)CT-group (n = 91)P-valueStDiff (%)3D-group (n = 45)CT-group (n = 45)P-valueStDiff (%)
Age (in years), average ± standard deviation55.1 ±10.058.4 ±12.10.07932.657.5 ±9.756.6 ±11.10.6739.4
Male, n (%)37 (57.8)66 (72.5)0.05629.634 (75.6)31 (68.9)0.48013.4
GTV (ml),median (range)30.0 (1.8-297.5)65.8 (6.5-234.8)< 0.00150.144.1 (1.8-297.5)57.8 (6.5-234.8)0.4937.5
Location*, n (%)0.2800.953
Sacral invasive type31 (48.4)55 (60.4)23.824 (53.3)24 (53.3)0.0
Lateral invasive type16 (25.0)20 (22.0)6.912 (26.7)11 (24.5)5.1
Localized type17 (26.6)16 (17.6)20.29 (20.0)10 (22.2)5.0

PSM – propensity score matching, StDiff – standardized difference, GTV – gross tumor volume, *sacral invasive type: invasion of lower sacrum (S3, S4, S5), coccyx or periosteum; lateral invasive type: invasion of upper sacrum (S1, S2), sciatic nerve, greater sciatic foramen, or lateral pelvic wall; localized type: invasion of surrounding pelvic organs or tissues [12]

Baseline characteristics balance before and after propensity score matching (PSM) PSM – propensity score matching, StDiff – standardized difference, GTV – gross tumor volume, *sacral invasive type: invasion of lower sacrum (S3, S4, S5), coccyx or periosteum; lateral invasive type: invasion of upper sacrum (S1, S2), sciatic nerve, greater sciatic foramen, or lateral pelvic wall; localized type: invasion of surrounding pelvic organs or tissues [12] After PSM, baseline characteristics balanced overall between the two groups, except for male (3D-group, 75.6% vs. CT-group, 68.9%; StDiff, 13.4%). The non-parametric test showed that values of D90, D100, V100, V150, and EI of 3D-group were significantly higher than those of CT-group (p < 0.001, p < 0.001, p < 0.001, p < 0.001, and p = 0.006, respectively) (Table 3). The value of HI in CT-group was significantly higher than that of 3D-group (p = 0.001). For the 3D-group, the median values of D90, D100, V100, V150, EI, and HI were 142.6 Gy (73.7-218.2 Gy), 73.7 Gy (26.2-169.3 Gy), 94.1% (74.3-100%), 71.8% (35.4-98.3%), 0.7 (0.1-30.7), and 0.20 (0-0.60), respectively, and the corresponding values were 119.9 Gy (39.8-159.3 Gy), 47.0 Gy (13.0-200.9 Gy), 89.9% (38.6-100%), 62.8% (14.8-100%), 0.39 (0-11.01), and 0.30 (0-0.95), respectively, for CT-group. No significant difference was observed in CI and total activity of seeds (p = 0.394 and p = 0.771, respectively).
Table 3

Comparison of dosimetric parameters between 3D-group and CT-group after propensity score matching (PSM)

Parameters3D-group median (range)CT-group median (range)t2/Mann-Whitney UP-value
D90 (Gy)142.6 (73.7-218.2)119.9 (39.8-159.3)444.5< 0.001
D100 (Gy)73.7 (26.2-169.3)47.0 (13.0-200.9)391.5< 0.001
V100 (%)94.1 (74.3-100)89.9 (38.6-100)422.5< 0.001
V150 (%)71.8 (35.4-98.3)62.8 (14.8-100)516.0< 0.001
HI0.20 (0-0.60)0.30 (0-0.95)553.00.001
EI0.7 (0.1-30.7)0.39 (0-11.01)638.50.006
CI0.5 (0-0.8)0.59 (0.08-0.80)852.50.336
Seed number66 (23-175)67 (6-131)907.00.394
Total activity of seeds37.8 (12.7-119.0)44.9 (2.9-98.3)976.50.771

D90 – dose that covered 90% of target volume, D100 – dose that covered 100% of target volume, V100 – percentage of GTV receiving 100% of prescription dose, V150 – percentage of GTV receiving 150% of prescription dose, HI (homogeneity index) – homogeneity of dose distribution, CI (conformity index) – conformity of dose distribution, EI (external index) – percentage of the volume outside GTV that received exceeded prescription dose

Comparison of dosimetric parameters between 3D-group and CT-group after propensity score matching (PSM) D90 – dose that covered 90% of target volume, D100 – dose that covered 100% of target volume, V100 – percentage of GTV receiving 100% of prescription dose, V150 – percentage of GTV receiving 150% of prescription dose, HI (homogeneity index) – homogeneity of dose distribution, CI (conformity index) – conformity of dose distribution, EI (external index) – percentage of the volume outside GTV that received exceeded prescription dose

Discussion

Free-hand CT-guided seed implantation has many disadvantages. First, the accuracy of free-hand implantation relies on the experience of operators. Post-operative dosimetric parameters can be inconsistent with pre-operative planned parameters. Any misplaced seed can lead to unsatisfactory efficacy and even severe adverse effects. Second, during the implantation, the position, direction, and depth of implantation needles need to be adjusted many times until the distribution of needles is optimal, and the patient needs to undergo multiple CT scans. The efficiency is low, and the patient’s risk of complications increases. Last but not least, the complex anatomy of pelvis and irregular borders of the tumor may increase the difficulty of inserting implantation needles.To further improve the accuracy of seed implantation, 3D-PNCT was combined with CT-guided RIS implantation for tumor treatment. Huang et al. [6] firstly studied CT-guided RIS implantation assisted with 3D-PNCT in 31 head and neck cancer patients, and D90, V100, and V150 of these patients met the treatment requirements adequately, confirming that 3D-PNCT can make RIS implantation more accurate and efficient. Individualized 3D-PNCT is designed according to pre-operative plan. It can fit the anatomic characteristics of treatment area on the skin surface and contains information about needle pathways. Many studies have revealed that 3D-PNCT can ensure consistency between pre-operative and post-operative dosimetric parameters [14,15,16]. Ji et al. [14] studied 14 cases of different tumors treated by 3D-PNCT-assisted CT-guided RIS implantation. Pre-operative and post-operative values of D90, V100, V150, V200, HI, EI, and CI showed no difference. Liu et al. [9] investigated 16 patients with brain gliomas, and no difference was found between pre-operative and post-operative parameters. Besides, some scholars further confirmed that CT-guided RIS implantation assisted with 3D-PNCT was safe and effective. Ji et al. [16] compared the parameters between 3D-PNCT plan and 3D printing coplanar template (3D-PCT) plan to treat peripheral lung cancer. This study revealed that although the dosimetric parameters were similar between the two plans, the 3D-PNCT plan delivered a higher dose in the target volume margin, requiring fewer needles and causing less damage. Wang et al. [17] studied 66 patients with LRRC who were previously treated with EBRT or surgery. Median overall survival (OS) and local control (LC) time were 14.7 and 12.2 months, respectively. Pain relief was achieved in 85.1% of patients, and 9.1% of patients had ≥ grade 3 side effects.However, there are few studies about the differences between CT-guided RIS implantation assisted with 3D-PNCT and free-hand CT-guided seed implantation. Han et al. [18] compared the differences of dosimetric parameters between RIS implantation assisted with 3D-PNCT and without 3D-PNCT in treating liver tumors. The results showed that D100, V100, and V150 values were significantly different between the two groups. D100 and V100 of the template-assisted group were higher, while its V150 was lower than that in the group without a temple auxiliary. In the present study, the D90, D100, and V100 in the 3D-group were higher than those in the CT-group. Although no significant difference was found in seed number and total activity of seeds, the dose delivered to the 3D-group was higher than that delivered in the CT-group. The median D90 and V100 in 3D-group were 146.2 Gy and 94.1%, respectively. Previous studies on prostate cancer suggested that the prognosis of patients with D90 > 140 Gy and V100 > 90% was significantly better compared to patients with D90 < 140 Gy or D100 < 90% [19,20,21]. A study on LRRC revealed that patients with D90 > 130 Gy or V100 > 90% had a superior prognosis [17]. One-year local control rates for patients with D90 > 130 Gy and V100 > 90% were 72.4% and 69.3%, respectively. Dosimetric parameters of CT-guided RIS implantation assisted with 3D-PNCT are closer to the optimal values than those of free-hand CT-guided RIS implantation. The “cold” spots of dose can be effectively avoided to improve local control. In the present study, the values of V150 and EI were significantly higher in the 3D-group, whereas the value of HI was significantly lower in this group of patients. The value of CI showed no difference between the two groups. These results suggested that the 3D-group had more “hot” spots of dose inside the tumor than the CT-group. The dose distribution of the CT-group was more homogeneous than that of the 3D-group. In RIS implantation for prostate cancer, Ling et al. [22] investigated dose heterogeneity in terms of radiobiological effect. The authors found that high doses within a heterogeneous pattern contributed to additional tumor cell kill. Herein, it was considered that higher V150 may lead to superior local control of tumor. Dose limit of RIS implantation for small intestine still remains unclear. In this study, the dose limits of OARs referred to the dose limits for prostate RIS implantation and hypofractionated radiotherapy [23,24]. A previous study on free-hand CT-guided seed implantation for LRRC showed mild adverse effects, and no severe adverse effects occurred in the small intestine. Therefore, the small intestine dose limit was further decreased in the 3D-group, which could explain a higher EI value in the 3D-group. Although the 3D-PNCT could improve the accuracy of implantation, there were still some errors. The movement of small intestine and colorectum may prevent the needles from being inserted as planned. Moreover, the changes in bladder filling could cause slight changes in tumor location, leading to misplacement of needles. Also, hard tissues, such as bones in the puncture path might deform the needles, resulting in an inaccurate seed implantation.Despite the efforts to balance the two groups with the propensity score matching method, there are several limitations of the study. Data from different periods were collected retrospectively in the same center. Plus, the increase in dosimetric accuracy may be due to an improvement of skills of the doctors. Moreover, the data on clinical efficacy and side effects were still insufficient. Further follow-up and additional research are needed to investigate whether the increase in dosimetric accuracy can cause the improvement of efficacy and reduction of side effects. Moreover, further large-sample studies are warranted to compare the differences of dosimetry, efficacy, and side effects between CT-guided RIS implantation assisted with and without 3D-PNCT.

Conclusions

In conclusion, the key to improve efficacy is to improve the accuracy of seed implantation. 3D-PNCT can support the positioning and orientation of the needles. The dose delivered to the tumor was increased, and the “cold” spots of dose were reduced by 3D-PNCT to further improve clinical efficacy. Additional studies shall be conducted for strong evidence of real benefits from the application of 3D-PNCT.
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Journal:  Brachytherapy       Date:  2012-06-21       Impact factor: 2.362

2.  The Effectiveness and Prognostic Factors of CT-Guided Radioactive I-125 Seed Implantation for the Treatment of Recurrent Head and Neck Cancer After External Beam Radiation Therapy.

Authors:  Zhe Ji; Yuliang Jiang; Suqing Tian; Fuxin Guo; Ran Peng; Fei Xu; Haitao Sun; Jinghong Fan; Junjie Wang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-11-02       Impact factor: 7.038

Review 3.  American Brachytherapy Society (ABS) recommendations for transperineal permanent brachytherapy of prostate cancer.

Authors:  S Nag; D Beyer; J Friedland; P Grimm; R Nath
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-07-01       Impact factor: 7.038

4.  Long-term results after high-dose radiotherapy and adjuvant hormones in prostate cancer: how curable is high-risk disease?

Authors:  Almudena Zapatero; Feliciano García-Vicente; Carmen Martín de Vidales; Alfonso Cruz Conde; Yamile Ibáñez; Inmaculada Fernández; Mariano Rabadán
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-06       Impact factor: 7.038

5.  Interstitial permanent implantation of 125I seeds as salvage therapy for re-recurrent rectal carcinoma.

Authors:  Jun Jie Wang; Hui Shu Yuan; Jin Na Li; Wei Juan Jiang; Yu Liang Jiang; Su Qing Tian
Journal:  Int J Colorectal Dis       Date:  2008-12-16       Impact factor: 2.571

6.  Dosimetry Verification of 125I Seeds Implantation With Three-Dimensional Printing Noncoplanar Templates and CT Guidance for Paravertebral/Retroperitoneal Malignant Tumors.

Authors:  Zhe Ji; Yuliang Jiang; Liang Su; Fuxin Guo; Ran Peng; Haitao Sun; Jinghong Fan; Junjie Wang
Journal:  Technol Cancer Res Treat       Date:  2017-08-07

7.  Dosimetry verification of 3D-printed individual template based on CT-MRI fusion for radioactive 125I seed implantation in recurrent high-grade gliomas.

Authors:  Shifeng Liu; Hong Wang; Congxiao Wang; Hao Zhang; Wei Li; Qian Dong; Xiaokun Hu
Journal:  J Contemp Brachytherapy       Date:  2019-06-28

8.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

9.  A digital model individual template and CT-guided 125I seed implants for malignant tumors of the head and neck.

Authors:  Ming-Wei Huang; Shu-Ming Liu; Lei Zheng; Yan Shi; Jie Zhang; Yan-Sheng Li; Guang-Yan Yu; Jian-Guo Zhang
Journal:  J Radiat Res       Date:  2012-08-01       Impact factor: 2.724

10.  The investigation of 125I seed implantation as a salvage modality for unresectable pancreatic carcinoma.

Authors:  Hao Wang; Junjie Wang; Yuliang Jiang; Jinna Li; Suqing Tian; Weiqiang Ran; Dianrong Xiu; Yang Gao
Journal:  J Exp Clin Cancer Res       Date:  2013-12-27
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1.  The accuracy and dosimetric analysis of 3D-printing non-coplanar template-assisted iodine-125 seed implantation for recurrent chest wall cancer.

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