1.1 Baseline clinical data
A total of 27 patients with malignant tumors who were treated with INS-assisted, 3DPT-guided, computed tomography (CT)-guided RISI in our department between December 2018 and December 2019 were enrolled in this study. All patients had complete imaging data, preoperative/postoperative plans, and intraoperative data. All treated patients met the indication criteria for radioactive seed implantation [1]: (1) patients who showed relapse after surgery or external radiotherapy or refused surgery or external radiotherapy with a tumor diameter ≤ 7 cm; (2) the pathological diagnosis was clear; (3) there was a suitable puncture path; (4) there was no bleeding tendency or hypercoagulable state; (5) the general physical condition was good (Karnofsky performance status score > 70), radioactive seed implantation could be tolerated; and (6) the expected survival was > 3 months. All patients signed an informed consent form prior to treatment. Table 1 shows the baseline information of the patients, target lesions, and the preoperative plan. The research protocol was approved by the Ethics Committee.
Table 1
Baseline information of the patients and lesions
Characteristic
|
Number
|
Proportion(%)
|
Gender
|
|
|
Male
|
17
|
63.0
|
Female
|
10
|
37.0
|
Age (years old)
|
Median 59 (34–84)
|
KPS
|
Median 80 (60–90)
|
Primary disease
|
|
|
SCC of nasopharynx / H & N*
|
9
|
33.3
|
Colorectal cancer
|
6
|
22.2
|
Cervical cancer
|
5
|
18.5
|
Esophageal cancer
|
3
|
11.1
|
Lung cancer
|
2
|
7.4
|
Breast cancer
|
1
|
3.7
|
Prostatic cancer
|
1
|
3.7
|
Sarcoma
|
1
|
3.7
|
Position of seed
|
|
0.0
|
Head and neck
|
13
|
48.1
|
Chest wall
|
1
|
3.7
|
Pelvic cavity
|
11
|
40.7
|
Retroperitoneal & paravertebral
|
2
|
7.4
|
Prescription dose (Gy)
|
Median 130 (110–160)
|
Activity of seed (mCi)
|
Median 0.5 (0.4–0.64)
|
Number of navigation needle
|
|
|
1
|
12
|
44.4
|
2
|
5
|
18.5
|
3
|
10
|
37.0
|
*H & N: head and neck
|
1.2 Information on systems, materials, and equipment
(1) Brachytherapy treatment planning system (BTPS): KLSIRPS-3D, Beijing University of Aeronautics and Astronautics, and Beijing Astro Technology. The source data in the planning system were derived from TG 43 and its updated document issued by the American Association of Physicists in Medicine [4, 5]. (2) CT: Brilliance Bigbore CT and Philips. (3) INS: IGS-MO Optical Image Navigation system and Xinbo Medical Technology (Fig. 1). (4) 3DPT: 3D photocuring rapid-prototyping machine printing (Shanghai 3D Union Tech, RS6000), with an accuracy of 0.1 mm, and photocurable resins that comply with the European Communities standards were used as printing materials. (5) I-125 seeds: type 6711_1985, from HTA Co., Ltd, with a half-life of 59.4 days and dose rate constant of 0.965 cGy/(h·U). (6) Radioactive I-125 seed implantation devices: Mick Radio-Nuclear Instruments and Eckert & Ziegler BEBIG.
1.3 Preoperative plan
We performed 3DPT-guided RISI in accordance with published profession standards [6]. INS assistance was applied based on the following aspects:
(1) Positioning and preoperative plan design: ① CT, with a slice thickness of 2.5 mm, was performed 2 days before operation. The posture (supine/prone/lateral) was selected according to the location of the lesion; the vacuum pad was fixed, and the body surface was marked with a pendulum line. ② CT data were transmitted to the BTPS for developing a preoperative plan design. The tumor in the target area (gross tumor volume, GTV) and the organs at risk (OAR) within 2 cm around the target area were outlined to set the prescribed dose and seed activity; identify the direction, distribution, and depth of the seed needle; and set up 1–3 navigation needles. The number of seeds was calculated, and the spatial distribution of the seeds was simulated. Through BTPS optimization, GTV D90 (when GTV receives 90% of the dose) was adjusted to meet the prescribed dose setting requirements.
(2) Design and production of 3DPT: ① Personalized digital modeling of the treatment area template in the BTPS and additional information on the alignment axis and puncture characteristics were used to set the printing range of the template. ② A 3DPT was produced using a 3D photocuring rapid-prototyping machine and medical photocuring resin material. The 3DPT included body surface information, alignment marks, and puncture information with respect to the treatment area of the patients.
(3) Patient reset and INS-assisted 3DPT alignment and fixation: ① The patient was reset with reference to the positioning mark, and the template was aligned with reference to the positioning mark, template coordinates, and the contour of the patient’s body surface. ② An optical tracer was placed on the CT rack and the template navigation needle. CT was performed with the image information transmitted to the INS, and image fusion and registration were conducted. The navigation needle was inserted under the guidance of the virtual navigation needle displayed by the INS, and the position of the needle was adjusted in real time so that the position of the virtual navigation needle in the intraoperative image anatomy was consistent with the position of the navigation needle set in the preoperative plan. ③ After insertion of the navigation needle was completed, CT was performed to confirm that the position of the needle was accurate, and fine-tuning was conducted when there was an error. After the navigation needles were correctly calibrated, the 3DPT position was considered accurate.
(4) Puncture and seed implantation: ① After the 3DPT was accurately positioned, the rest of the seed needles were percutaneously punctured to the predetermined depth through a template guide hole. During the puncture process, CT was performed to monitor the needle insertion path, and the needle was fine-tuned, if necessary, to avoid damage to the OAR. ② After the needle was in place, the seeds were implanted according to the preoperative plan, and CT was performed to confirm the seed distribution. ③ As there may be differences between the actual intraoperative situation and the preoperative plan, intraoperative optimization was carried out if necessary, and the needle insertion path and seed distribution were adjusted in real time to ensure that the dose received by the GTV met the requirements of the preoperative plan.
(5) Postoperative dose evaluation: CT was performed postoperatively, the image was transmitted to the BTPS for dose verification, and the actual doses delivered to the GTV and OAR were evaluated. The technical process is shown in Fig. 2. The postoperative dose quality evaluation complied with the quality evaluation standard defined by the BC (British Columbia) Cancer Research Center [7]. According to the immediate verification of the target area D90 and V100 (volume when the GTV receives 100% of the prescribed dose), the evaluation results were characterized as excellent, good, fair, and poor.
1.4 Collection and comparison of treatment parameters
(1) Puncture information: In the BTPS, the images taken after the intraoperative navigation needle was in place were fused with the preoperative plan images, and rigid registration for the bone was performed. In the fusion image, both the virtual and actual puncture characteristics with respect to the preoperative plan were displayed. The angle and depth of the puncture before and during the operation were compared, and the absolute value of the difference was taken as the error value. Meanwhile, the straight-line distances between the two puncture points on the body surface and between the two tip positions were recorded.
(2) Dosimetry information: In the BTPS, every dosimetry parameter from the preoperative and postoperative plans was recorded and compared, including GTV D90, V100, V150 (volume when the GTV receives 150% of the prescribed dose), V200 (volume when the GTV receives 200% of the prescribed dose), and minimum peripheral dose (MPD; the minimum dose received at the edge of the GTV) in the target area. With regards to the conformal index (CI) [8], CI=(VT, ref/VT) × (VT, ref/Vref), where VT, VT, ref, and Vref are the volume of the target area, the volume of the target area receiving the prescribed dose, and the total volume (cm3) contained in the prescribed dose, respectively. The optimal CI was 1, which indicated that the prescribed dose covered the target area but the received dose outside the target area was lower than the prescribed dose. A larger CI indicated that the volume inside the target area receiving the prescribed dose was larger, whereas the volume outside the target area receiving the prescribed dose was smaller. In terms of the external index (EI) [9], EI = (Vref – VT,ref)/VT × 100%. The optimal EI was 0, which suggested that the dose tissues outside the target area received less than the prescribed dose. A higher EI implied that the volume of the prescribed dose received outside the target area was larger. Regarding the homogeneity index (HI) [9], HI = (VT,ref – VT,1.5ref)/VT,ref × 100%, where VT,1.5ref is the volume (cm3) of the target area receiving 150% of the prescribed dose. The ideal optimal HI was 100%. A higher HI suggested a more uniform dose distribution in the target area. As the location of the lesions was scattered and the adjacent OAR varied, this study was not designed to compare OAR doses.
(3) Other treatment information: In the BTPS, other preoperative and postoperative treatment parameters were collected and compared, including GTV and the numbers of needles and seeds.
1.5 Statistical methods
For comparisons between groups, a Shapiro-Wilk test was first used to verify whether the data in each group were normally distributed. A P value > 0.05 indicated that the data conformed to a normal distribution. For normally distributed data, a t-test (including paired and independent sample t-tests) was used for comparison, and the t-value was used to describe the test value. For non-normally distributed data, a nonparametric test was adopted for comparison (Wilcoxon test for correlated samples and Mann-Whitney U test for independent samples), and the z-value was used to describe the test value. P-values ≤ 0.05 were considered as statistically significant, and the statistical software used was SPSS 25 (IBM Corporation).