| Literature DB >> 34167556 |
Enli Chen1, Yuwei Zhang1, Hongtao Zhang2, Chenfei Jia1, Yansong Liang2, Juan Wang3.
Abstract
BACKGROUND: 125I seed implantation has been found to show good therapeutic effects on tumors. Recent studies showed that three-dimensional (3D) print template-assisted 125I seed implantation can optimize radiation dose distribution. This study aimed to compare the dose distribution differences in 125I seed implantation among 3D print noncoplanar template- (3DPNCT), 3D print coplanar template- (3DPCT) assisted implantation and traditional free-hand implantation.Entities:
Keywords: 3D printing; Brachytherapy; Iodine-125
Mesh:
Substances:
Year: 2021 PMID: 34167556 PMCID: PMC8223396 DOI: 10.1186/s13014-021-01845-y
Source DB: PubMed Journal: Radiat Oncol ISSN: 1748-717X Impact factor: 3.481
Fig. 1Flow diagram of the study selection process. CNKI China Knowledge Resource Integrated Database
Characteristics of the included studies
| Ref | First author and year | Number of patients | Template | Tumor size | Prescription dose (Gy) | Tumor site | Outcomes | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Template | Free hand | Template | Free hand | Dosimetric parameter | Operation time | |||||
| 1 | Hongtao [ | 13/14 | 3DPNCT | NA | NA | 85.00 ± 33.10 | 84.43 ± 28.89 | Multiple lesions | √ | |
| 2 | Han [ | 15/25 | 3DPNCT | ≤ 3 cm: 14(lessions), 3–8 cm: 29, > 8 cm: 4 | ≤ 3 cm: 27, 3–8 cm:34, > 8 cm: 5 | 120 | 120 | Liver | √ | √ |
| 3 | Huang [ | 12/13 | 3DPCT | ≤ 3 cm: 1, 3–5 cm:10, > 5 cm: 1 | ≤ 3 cm: 3, 3–5 cm:9, > 5 cm: 1 | 140 | 140 | Pancreas | √ | |
| 4 | Cao [ | 10/10 | 3DPCT | NA | NA | 120–160 | 120–160 | Lung | √ | |
| 5 | Pan [ | 30/30 | 3DPNCT | 64.4 ± 58.4(cc) | 67.8 ± 60.4(cc) | 119.46 ± 11.57 | 118.31 ± 11.41 | Multiple lesions | √ | √ |
| 6 | Shen [ | 28/32 | 3DPNCT | ≤ 3 cm: 11, > 3 cm: 17 | ≤ 3 cm: 9, > 3 cm: 23 | 125.60 ± 23.60 | 123 ± 17.80 | Head and neck | √ | √ |
| 7 | Zheng [ | 13/10 | 3DPCT | 25.9 ± 9.4 | 20.1 ± 5.3 | 90–120 | Mediastinal lymph nodes | √ | ||
| 8 | Di [ | 7/18 | 3DPNCT | ≤ 5 cm: 13, > 5 cm: 12 | 60–100 | Para-aortic lymph node | √ | |||
| 9 | Ji [ 2017 | 21 | 3DPNCT | 61.10 (4.0–263.0) cm 3 | NA | Paravertebral/retroperitoneal Malignant Tumors | √ | |||
| 10 | Wang [ | 10 | 3DPNCT | NA | NA | Pelvic recurrent rectal cancer | √ | |||
| 11 | Yuliang [ | 15 | 3DPNCT | 71.0 (7.0–167.3) cm 3 | 110–150 Gy | Pelvic recurrent cancer | √ | |||
| 12 | Jiang [ | 9 | 3DPNCT | 68.63 ± 62.83 cm 3 | 120 (110–160)Gy | Pelvic recurrent cervical cancer | √ | |||
| 13 | Zhe [ | 21 | 3DPNCT | 77.1(6.5–411.6)cm 3 | 150 (110–180)Gy | Chest malignant tumor | √ | |||
| 14 | Ji [ | 33 | Both | 36.2(3.2–204.5)cm 3 | 160 (120–170)Gy | Peripheral lung cancer | √ | |||
| 15 | Ang [ | 37 | Both | 40.0(4.6–332.4)cm 3 | 140 (100–180)Gy | Pelvic wall recurrent gynecological Malignant tumors | √ | |||
| 16 | Xuemin [ | 10 | Both | NA | NA | Superficial sarcoma | √ | |||
3DPNCT: 3D print noncoplanar template; 3DPCT: 3D print coplanar template;√: the data is available
Quality assessment of included studies
| First author and year | Representativenessa | Selection of non-exposed b | Ascertainment of exposurec | Incident diseased | Comparabilitye | Assessment of outcomef | Length of follow-upg | Adequacy of follow-uph |
|---|---|---|---|---|---|---|---|---|
| Hongtao [ | A | A | A | A | C | B | A | A |
| Han [ | A | A | A | A | B | B | A | A |
| Huang [ | A | A | A | A | B | B | A | A |
| Cao [ | A | A | A | A | C | B | A | A |
| Pan [ | A | A | A | A | B | B | A | A |
| Shen [ | A | A | A | A | A | B | A | A |
| Zheng [ | A | A | A | A | C | B | A | A |
| Di [ | A | A | A | A | C | B | A | A |
| Ji [ | A | N.A | A | A | N.A | B | A | A |
| Wang [ | A | N.A | A | A | N.A | B | A | A |
| Yuliang[ | A | N.A | A | A | N.A | B | A | A |
| Jiang [ | A | N.A | A | A | N.A | B | A | A |
| Zhe [ | A | N.A | A | A | N.A | B | A | A |
| Ji [ | A | A | A | A | A | B | A | A |
| Ang [ | A | A | A | A | A | B | A | A |
| Xuemin [ | A | A | A | A | A | B | A | A |
aA truly representative, B somewhat representative, C selected group, D no description of the derivation of the cohort
bA drawn from the same community as the exposed, B drawn from a different source, C no description of the derivation of the non-exposed
cA secure record, B structured interview, C written self-report, D no description
dDemonstration that the outcome of interest was not present at start of study: A yes, B no
eA study controls for demographics/comorbidities, B study controls for any additional factor (e.g., age, severity of illness), C not done
fA independent or blind assessment, B record linkage, C self-report, D no description
gLong enough for outcomes to occur? A yes, B no
hA complete follow-up, B subjects lost to follow-up was unlikely to introduce bias, C follow-up rate 90% or lower, D no statement
Fig. 2Forest plot of studies comparing post-implantation D90 and D100 between 3D print template and traditional free-hand implantation
Fig. 3Forest plot of studies comparing post-implantation V90 and V100 between 3D print template and traditional free-hand implantation
Fig. 4Forest plot of studies comparing D90, D100, V90, and V100 between pre- and post-implantation with traditional free-hand implantation
Fig. 5Forest plot of studies comparing D90, D100, V100, V150, and V200 between pre- and post-implantation with 3D print template
Fig. 6Forest plot of studies comparing D2cc of OARs between pre- and post-implantation with 3D print template
Fig. 7Forest plot of studies comparing D90, D100, V100, V150 and V200 between 3DPNCT and 3DPCT groups
Fig. 8Forest plot of studies comparing D2cc of OAR between 3DPNCT and 3DPCT groups
Fig. 9Forest plot of studies comparing number of seeds, number of needles and through bone needles between 3DPNCT and 3DPCT groups