1Department of Radiation Oncology, Chonnam National University Hwasun Hospital, Chonnam National University College of Medicine, Hwasun, Korea
2Department of Radiation Oncology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
3Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
4Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea
5Department of Radiation Oncology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
Copyright © 2024 by the Korean Cancer Association
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Author Contributions
Conceived and designed the analysis: Ahn YC, Lee JH.
Collected the data: Jeong JU, Rim CH, Yoo GS, Cho WK, Chie EK, Ahn YC, Lee JH.
Contributed data or analysis tools: Yoo GS, Cho WK, Chie EK, Lee JH.
Performed the analysis: Jeong JU, Rim CH, Lee JH.
Wrote the paper: Jeong JU, Rim CH, Lee JH.
Conflicts of Interest
Yong Chan Ahn, the editor-in-chief of the Cancer Research and Treatment, was not involved in the editorial evaluation or decision to publish this article. All remaining authors have declared no conflicts of interest.
Author (year) | Study design | Definition of oligometastasis | No. of patients (lesions) | No. patients with extapulmonary lesion | Median age (yr) | Male (%) | Median tumor size (cm) | No. of patients with previous chemotherapy | Dose prescription | SABR modality | Median BED10 (Gy) |
---|---|---|---|---|---|---|---|---|---|---|---|
Comito (2014) [28] | P | 3 | 40 (60) | 0 | NA | NA | NA | NA | V98% ≥ 98% for CTV and V95% ≥ 95% for PTV; 20 Gy×3 fx, 12 Gy×4 fx | Linac | 105.6 |
Binkley (2015) [29] | R | NA | 26 (26) | NA | NA | NA | NA | NA in GTV | V95% ≥ 95% for PTV and Dmax ≥ 120% | NA | NA |
Carvajal (2015) [30] | P | 1 | 13 (13) | 0 | 60 | 69.3 | 1 | NA | 60%-90% isodose line covering PTV; 12.5 Gy×4 fx, 18 Gy×3 fx, 34 Gy×1 fx, 7.5 Gy×8 fx | Linac | 149.6 |
Jung (2015) [31] | R | 3 | 50 (79) | 0 | 65 | NA | NA (1.5 mL) | 32 | 85%-90% isodoseline covering PTV | Linac | 105.6 |
Aoki (2016) [32] | R | 3 | 13 (15) | NA | NA | NA | NA | 0 | 10 Gy×5 fx | Linac (3D-CRT) | NA |
Filippi (2016) [33] | R | 5 | 28 (43) | NA | 72 | 50 | 1.15 | NA | 80% Isodoseline covering PTV | Linac (3D-CRT or VMAT) | 93.6 |
Agolli (2017) [34] | R | 4 | 44 (69) | 11 | 68 | 73 | 1.4 | 26 | 23 Gy×1 fx for multiple lesions, 30 Gy×1 fx for peripheral or small lesions (< 30 mL), 15 Gy×3 fx for central or large lesions (≥ 30 mL) | Linac | 120 |
Jingu (2017) [35] | R | NA | 93 (104) | NA | 69 | 64.5 | 1.5 | NA | V95% ≥ 95% for PTV | NA | 105.6 |
Kinj (2017) [36] | R | 5 | 53 (87) | NA | 69 | 66 | 1.6 | NA | 25 Gy×1 fx for multiple lesions (> 3), 20 Gy×3 fx for peripheral lesions, 10-15 Gy×5 fx for central lesions | CK | 180 |
Pasqualetti (2017) [37] | R | 3 | 33 (56) | NA | 67 | 75.7 | NA | NA | 24-26 Gy×1 fx, 9-14 Gy×3 fx | Linac | 93.6 |
Qiu (2018) [38] | R | NA | 65 (144) | 23 | NA | 56.9 | NA | 45 | 80% Isodoseline covering PTV; 5 Gy×10 fx, 10 Gy×5 fx | Linac | NA |
Dell’Acqua (2019) [39] | R | 5 | 54 (97) | NA | NA | NA | NA | NA | 70%-80% Isodoseline covering PTV for CK; V95% ≥ 95% for PTV for Linac | CK or Linac | NA |
Kalinauskaite (2020) [40] | R | NA | 17 (NA) | NA | NA | NA | NA | NA | 70% Isodoseline covering PTV and Dmax ≤ 100% for CK; 80% isodoseline covering PTV and Dmax ≤ 110% for Linac | CK or Linac | NA |
Nicosia (2020) [41] | R | 5 | 38 (107) | NA | 75 | NA | 1.4 | 22 | V95% ≥ 95% and Dmax ≤ 107% for PTV | Linac (VMAT) | 96 |
Sharma (2020) [42] | R | 5 | 118 (NA) | 69 | NA | 65.2 | NA | 73 | 70%-90% isodose line covering PTV; peripheral lesions: 17 Gy×3 fx or 20 Gy×3 fx or 30 Gy×1 fx for peripheral lesions, 5 Gy×10-12 fx or 7 Gy×7 fx or 8 Gy×6-7 fx for central lesions | CK | NA |
Yamamoto (2020) [43] | R | 5 | 330 (370) | NA | 73 | 61.2 | NA | 148 | NA | NA | 115.3 |
Benson (2021) [44] | R | NA | 18 (28) | NA | 58 | 33 | NA (1 mL) | NA (26 lesions) | NA | CK or Linac | 113 |
Nicosia (2022) [45] | R | 5 | 620 (1,090) | NA | 70 (mean) | 36 | NA (104 mL) | 383 | NA | NA | 105 |
Sheikh (2022) [46] | R | 5 | 133 (239) | NA | NA | NA | NA | NA | NA | NA | NA |
BED10, biologically effective dose with α/β ratio of 10; CK, CyberKnife; CTV, clinical target volume; Dmax, maximum point dose; fx, fraction; GTV, gross target volume; Linac, linear accelerator; NA, not assessable; P, prospective; PTV, planning target volume; R, retrospective; SABR, stereotactic ablative radiotherapy; V95%, the percent volume that received at least 95% of the prescription dose; VMAT, volumetric modulated arc therapy; 3D-CRT, three-dimensional conformal radiotherapy.
Author (year) | Median F/U (mo) | No. of patients | No. of lesions |
LC (%) |
Median PFS (mo) |
PFS (%) |
Median OS (mo) |
OS (%) |
Toxicity (≥ grade 3) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1-yr | 2-yr | 3-yr | 5-yr | 1-yr | 2-yr | 3-yr | 1-yr | 2-yr | 3-yr | |||||||
Comito (2014) [28] | NA | 40 | 60 | 85 | 75 | 70 | NA | NA | NA | NA | NA | NA | 87 | 68 | 58 | 0 |
Binkley (2015) [29] | NA | 26 | 26 | 74.5 | 57.8 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Carvajal (2015) [30] | 9.16 (2.2-45.6) | 13 | 13 | 92.3 | 92.3 | 92.3 | NA | NA | 45.8 | 22.9 | 22.9 | NA | 92.3 | 92.3 | 66.7 | 0 |
Jung (2015) [31] | 42.8 (11.0-104.1) | 50 | 79 | 88.7 | 74 | 70.6 | NA | NA | 38 | 26 | 24 | NA | 95 | 75 | 64 | 0 |
Aoki (2016) [32] | NA | 13 | 15 | 100 | 67.6 | 47.6 | NA | NA | 75 | 44 | 0 | NA | NA | NA | 60.6 | 0 |
Filippi (2016) [33] | 27 (16.1-71.7) | 28 | 43 | NA | NA | NA | NA | NA | 53.6 | 17.9 | NA | NA | 89 | 77 | NA | 14.4% (pneumonitis) |
Agolli (2017) [34] | 36 | 44 | 69 | 72 | 68 | 66 | NA | 10 | 40.7 | 20.3 | 16.2 | Not reached | 82.8 | 67.7 | 50.8 | 0 |
Jingu (2017) [35] | 28 | 93 | 104 | 87.3 | 72 | 65.2 | 56.2 | NA | NA | NA | NA | NA | 88.7 | 61.3 | 55.9 | 2.2% (pneumonitis) |
Kinj (2017) [36] | 33 (4-85) | 53 | 87 | 79.8 | 78.2 | 75 | 70 | NA | 29.2 | 14.6 | 7.5 | NA | 83.8 | 69.3 | 75 | 0 |
Pasqualetti (2017) [37] | 22.8 (1.3-45.7) | 33 | 56 | 62 | 30 | 22 | NA | 13 | NA | NA | NA | NA | NA | NA | NA | 0 |
Qiu (2018) [38] | NA | 64 | 144 | NA | NA | NA | NA | 5.7 | 23.5 | 10.1 | NA | 20.3 | 77.8 | 42.8 | NA | NA |
Dell’Acqua (2019) [39] | NA | 54 | 97 | 78 | 75 | 45 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 0 |
Kalinauskaite (2020) [40] | NA | 17 | NA | 59 | 46 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Nicosia (2020) [41] | 28 | 38 | 107 | NA | NA | NA | NA | 7 | 62.5 | 53.4 | NA | 39.5 | 76.3 | 71.1 | NA | NA |
Sharma (2020) [42] | 31 | 118 | NA | 90 | 83 | 81 | 77 | 12.1 | NA | 38 | 29 | 39.2 | 89 | 69 | 55 | 6% (pneumonitis, chest pain) |
Yamamoto (2020) [43] | 25 (0.1-121.3) | 330 | 370 | 86.1 | 65.3 | 64.9 | NA | 12.6 | 52.6 | 28.7 | 24.9 | 51.5 | 94.4 | 82.7 | 63.4 | 2% (pneumonitis) |
Benson (2021) [44] | NA | 18 | 28 | 86.3 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Nicosia (2022) [45] | 26 | 620 | 1,090 | 86.1 | 75.4 | 72.3 | NA | 11.4 | NA | NA | NA | NA | NA | NA | NA | NA |
Sheikh (2022) [46] | NA | 133 | 239 | 88 | 70 | 60 | 55 | NA | NA | NA | NA | NA | NA | NA | NA | 11.3% (pneumonitis, bile duct stenosis) |
Author (year) | Local control | Progression-free survival | Overall survival |
---|---|---|---|
Jung (2015) [31] | < 150 Gy vs. ≥ 150 Gy for 3-year: 84% vs. 64.6% (p=0.14) | NA | < 150 Gy vs. ≥ 150 Gy for 3-year: 54.5% vs. 82.4% (p=0.12) |
Jingu (2017) [35] | *< 100 Gy vs. ≥ 100 Gy for 2-year: 64.5% vs. 95.5% (p=0.011) | NA | NA |
Kinj (2017) [36] | < 180 Gy vs. ≥ 180 Gy for 2-year: 70.4% vs. 81.6% (p=0.4) | NA | < 180 Gy vs. ≥ 180 Gy for 2-year: 36.5% vs. 74.9% (p=0.055) |
Qiu (2018) [38] | ≥ 80 Gy: 0.14 for HR (p=0.05) | NA | ≥ 80 Gy: 0.48 for HR (p=0.16) |
Sharma (2020) [42] | *< 100 Gy vs. ≥ 100 Gy for 2-year: 62% vs. 87% (p < 0.001) | NA | *< 100 Gy vs. ≥ 100 Gy for median months: 30.8 vs. 48.8 (p=0.027) |
Yamamoto (2020) [43] | * < 115 Gy vs. ≥ 115 Gy for 3-year: 56.5% vs. 70.3% (p=0.06) | *< 115 Gy vs. ≥ 115 Gy for median months: 11.7 vs. 12.7 (p=0.06) | *< 115 Gy vs. ≥ 115 Gy for median months: 41.0 vs. 84.0 (p=0.01) |
Nicosia (2022) [45] | *< 100 Gy vs. 100-125 Gy vs. ≥ 125 Gy for 2-year: 76.1% vs. 70.6% vs. 94% (p < 0.001) | NA | *< 100 Gy vs. 100-125 Gy vs. ≥ 125 Gy for median months: 35.5 vs. 42 vs. 58.5 (p=0.0045) |
Author (year) | Study design | Definition of oligometastasis | No. of patients (lesions) | No. patients with extapulmonary lesion | Median age (yr) | Male (%) | Median tumor size (cm) | No. of patients with previous chemotherapy | Dose prescription | SABR modality | Median BED10 (Gy) |
---|---|---|---|---|---|---|---|---|---|---|---|
Comito (2014) [28] | P | 3 | 40 (60) | 0 | NA | NA | NA | NA | V98% ≥ 98% for CTV and V95% ≥ 95% for PTV; 20 Gy×3 fx, 12 Gy×4 fx | Linac | 105.6 |
Binkley (2015) [29] | R | NA | 26 (26) | NA | NA | NA | NA | NA in GTV | V95% ≥ 95% for PTV and Dmax ≥ 120% | NA | NA |
Carvajal (2015) [30] | P | 1 | 13 (13) | 0 | 60 | 69.3 | 1 | NA | 60%-90% isodose line covering PTV; 12.5 Gy×4 fx, 18 Gy×3 fx, 34 Gy×1 fx, 7.5 Gy×8 fx | Linac | 149.6 |
Jung (2015) [31] | R | 3 | 50 (79) | 0 | 65 | NA | NA (1.5 mL) | 32 | 85%-90% isodoseline covering PTV | Linac | 105.6 |
Aoki (2016) [32] | R | 3 | 13 (15) | NA | NA | NA | NA | 0 | 10 Gy×5 fx | Linac (3D-CRT) | NA |
Filippi (2016) [33] | R | 5 | 28 (43) | NA | 72 | 50 | 1.15 | NA | 80% Isodoseline covering PTV | Linac (3D-CRT or VMAT) | 93.6 |
Agolli (2017) [34] | R | 4 | 44 (69) | 11 | 68 | 73 | 1.4 | 26 | 23 Gy×1 fx for multiple lesions, 30 Gy×1 fx for peripheral or small lesions (< 30 mL), 15 Gy×3 fx for central or large lesions (≥ 30 mL) | Linac | 120 |
Jingu (2017) [35] | R | NA | 93 (104) | NA | 69 | 64.5 | 1.5 | NA | V95% ≥ 95% for PTV | NA | 105.6 |
Kinj (2017) [36] | R | 5 | 53 (87) | NA | 69 | 66 | 1.6 | NA | 25 Gy×1 fx for multiple lesions (> 3), 20 Gy×3 fx for peripheral lesions, 10-15 Gy×5 fx for central lesions | CK | 180 |
Pasqualetti (2017) [37] | R | 3 | 33 (56) | NA | 67 | 75.7 | NA | NA | 24-26 Gy×1 fx, 9-14 Gy×3 fx | Linac | 93.6 |
Qiu (2018) [38] | R | NA | 65 (144) | 23 | NA | 56.9 | NA | 45 | 80% Isodoseline covering PTV; 5 Gy×10 fx, 10 Gy×5 fx | Linac | NA |
Dell’Acqua (2019) [39] | R | 5 | 54 (97) | NA | NA | NA | NA | NA | 70%-80% Isodoseline covering PTV for CK; V95% ≥ 95% for PTV for Linac | CK or Linac | NA |
Kalinauskaite (2020) [40] | R | NA | 17 (NA) | NA | NA | NA | NA | NA | 70% Isodoseline covering PTV and Dmax ≤ 100% for CK; 80% isodoseline covering PTV and Dmax ≤ 110% for Linac | CK or Linac | NA |
Nicosia (2020) [41] | R | 5 | 38 (107) | NA | 75 | NA | 1.4 | 22 | V95% ≥ 95% and Dmax ≤ 107% for PTV | Linac (VMAT) | 96 |
Sharma (2020) [42] | R | 5 | 118 (NA) | 69 | NA | 65.2 | NA | 73 | 70%-90% isodose line covering PTV; peripheral lesions: 17 Gy×3 fx or 20 Gy×3 fx or 30 Gy×1 fx for peripheral lesions, 5 Gy×10-12 fx or 7 Gy×7 fx or 8 Gy×6-7 fx for central lesions | CK | NA |
Yamamoto (2020) [43] | R | 5 | 330 (370) | NA | 73 | 61.2 | NA | 148 | NA | NA | 115.3 |
Benson (2021) [44] | R | NA | 18 (28) | NA | 58 | 33 | NA (1 mL) | NA (26 lesions) | NA | CK or Linac | 113 |
Nicosia (2022) [45] | R | 5 | 620 (1,090) | NA | 70 (mean) | 36 | NA (104 mL) | 383 | NA | NA | 105 |
Sheikh (2022) [46] | R | 5 | 133 (239) | NA | NA | NA | NA | NA | NA | NA | NA |
Author (year) | Median F/U (mo) | No. of patients | No. of lesions | LC (%) |
Median PFS (mo) | PFS (%) |
Median OS (mo) | OS (%) |
Toxicity (≥ grade 3) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1-yr | 2-yr | 3-yr | 5-yr | 1-yr | 2-yr | 3-yr | 1-yr | 2-yr | 3-yr | |||||||
Comito (2014) [28] | NA | 40 | 60 | 85 | 75 | 70 | NA | NA | NA | NA | NA | NA | 87 | 68 | 58 | 0 |
Binkley (2015) [29] | NA | 26 | 26 | 74.5 | 57.8 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Carvajal (2015) [30] | 9.16 (2.2-45.6) | 13 | 13 | 92.3 | 92.3 | 92.3 | NA | NA | 45.8 | 22.9 | 22.9 | NA | 92.3 | 92.3 | 66.7 | 0 |
Jung (2015) [31] | 42.8 (11.0-104.1) | 50 | 79 | 88.7 | 74 | 70.6 | NA | NA | 38 | 26 | 24 | NA | 95 | 75 | 64 | 0 |
Aoki (2016) [32] | NA | 13 | 15 | 100 | 67.6 | 47.6 | NA | NA | 75 | 44 | 0 | NA | NA | NA | 60.6 | 0 |
Filippi (2016) [33] | 27 (16.1-71.7) | 28 | 43 | NA | NA | NA | NA | NA | 53.6 | 17.9 | NA | NA | 89 | 77 | NA | 14.4% (pneumonitis) |
Agolli (2017) [34] | 36 | 44 | 69 | 72 | 68 | 66 | NA | 10 | 40.7 | 20.3 | 16.2 | Not reached | 82.8 | 67.7 | 50.8 | 0 |
Jingu (2017) [35] | 28 | 93 | 104 | 87.3 | 72 | 65.2 | 56.2 | NA | NA | NA | NA | NA | 88.7 | 61.3 | 55.9 | 2.2% (pneumonitis) |
Kinj (2017) [36] | 33 (4-85) | 53 | 87 | 79.8 | 78.2 | 75 | 70 | NA | 29.2 | 14.6 | 7.5 | NA | 83.8 | 69.3 | 75 | 0 |
Pasqualetti (2017) [37] | 22.8 (1.3-45.7) | 33 | 56 | 62 | 30 | 22 | NA | 13 | NA | NA | NA | NA | NA | NA | NA | 0 |
Qiu (2018) [38] | NA | 64 | 144 | NA | NA | NA | NA | 5.7 | 23.5 | 10.1 | NA | 20.3 | 77.8 | 42.8 | NA | NA |
Dell’Acqua (2019) [39] | NA | 54 | 97 | 78 | 75 | 45 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 0 |
Kalinauskaite (2020) [40] | NA | 17 | NA | 59 | 46 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Nicosia (2020) [41] | 28 | 38 | 107 | NA | NA | NA | NA | 7 | 62.5 | 53.4 | NA | 39.5 | 76.3 | 71.1 | NA | NA |
Sharma (2020) [42] | 31 | 118 | NA | 90 | 83 | 81 | 77 | 12.1 | NA | 38 | 29 | 39.2 | 89 | 69 | 55 | 6% (pneumonitis, chest pain) |
Yamamoto (2020) [43] | 25 (0.1-121.3) | 330 | 370 | 86.1 | 65.3 | 64.9 | NA | 12.6 | 52.6 | 28.7 | 24.9 | 51.5 | 94.4 | 82.7 | 63.4 | 2% (pneumonitis) |
Benson (2021) [44] | NA | 18 | 28 | 86.3 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Nicosia (2022) [45] | 26 | 620 | 1,090 | 86.1 | 75.4 | 72.3 | NA | 11.4 | NA | NA | NA | NA | NA | NA | NA | NA |
Sheikh (2022) [46] | NA | 133 | 239 | 88 | 70 | 60 | 55 | NA | NA | NA | NA | NA | NA | NA | NA | 11.3% (pneumonitis, bile duct stenosis) |
No. of studies | No. of patients | Heterogeneity, p-value | I2 (%) | Heterogeneity assessment | Effect size (95% CI) | Egger’s test, p-value | |
---|---|---|---|---|---|---|---|
Local control | |||||||
1-Year | 15 | 2,354 | < 0.001 | 71.7 | Moderate to high | 83.1 (79.0-86.5) | 0.464 |
2-Year | 14 | 2,326 | < 0.001 | 82.7 | High | 69.3 (63.3-74.7) | |
3-Year | 12 | 2,271 | < 0.001 | 88.4 | High | 63.9 (56.3-70.8) | |
Overall survival | |||||||
1-Year | 11 | 871 | 0.002 | 63.4 | Moderate to high | 87.5 (82.6-91.1) | 0.744 |
2-Year | 11 | 871 | < 0.001 | 80.5 | High | 69.9 (61.4-77.3) | |
3-Year | 9 | 754 | 0.251 | 21.6 | Low | 60.5 (56.0-64.8) | |
Progression-free survival | |||||||
1-Year | 9 | 633 | < 0.001 | 76.1 | High | 44.8 (35.1-54.8) | 0.554 |
2-Year | 10 | 751 | < 0.001 | 73.8 | Moderate to high | 26.5 (19.7-34.7) | |
3-Year | 7 | 621 | 0.057 | 50.9 | Moderate | 21.5 (16.1-28.1) | |
Toxicity (grade 3 or higher) | 13 | 1,002 | 0.003 | 59.4 | Moderate to high | 3.6 (1.9-6.8) | 0.026 |
Author (year) | Local control | Progression-free survival | Overall survival |
---|---|---|---|
Jung (2015) [31] | < 150 Gy vs. ≥ 150 Gy for 3-year: 84% vs. 64.6% (p=0.14) | NA | < 150 Gy vs. ≥ 150 Gy for 3-year: 54.5% vs. 82.4% (p=0.12) |
Jingu (2017) [35] | *< 100 Gy vs. ≥ 100 Gy for 2-year: 64.5% vs. 95.5% (p=0.011) | NA | NA |
Kinj (2017) [36] | < 180 Gy vs. ≥ 180 Gy for 2-year: 70.4% vs. 81.6% (p=0.4) | NA | < 180 Gy vs. ≥ 180 Gy for 2-year: 36.5% vs. 74.9% (p=0.055) |
Qiu (2018) [38] | ≥ 80 Gy: 0.14 for HR (p=0.05) | NA | ≥ 80 Gy: 0.48 for HR (p=0.16) |
Sharma (2020) [42] | *< 100 Gy vs. ≥ 100 Gy for 2-year: 62% vs. 87% (p < 0.001) | NA | *< 100 Gy vs. ≥ 100 Gy for median months: 30.8 vs. 48.8 (p=0.027) |
Yamamoto (2020) [43] | * < 115 Gy vs. ≥ 115 Gy for 3-year: 56.5% vs. 70.3% (p=0.06) | *< 115 Gy vs. ≥ 115 Gy for median months: 11.7 vs. 12.7 (p=0.06) | *< 115 Gy vs. ≥ 115 Gy for median months: 41.0 vs. 84.0 (p=0.01) |
Nicosia (2022) [45] | *< 100 Gy vs. 100-125 Gy vs. ≥ 125 Gy for 2-year: 76.1% vs. 70.6% vs. 94% (p < 0.001) | NA | *< 100 Gy vs. 100-125 Gy vs. ≥ 125 Gy for median months: 35.5 vs. 42 vs. 58.5 (p=0.0045) |
No. of studies | No. of patients | Heterogeneity, p-value | I2 (%) | Heterogeneity assessment | Effect size (95% CI) | p-value | |
---|---|---|---|---|---|---|---|
Local control | |||||||
Overall | 5 | 1,365 | 0.322 | 14.50 | Low | OR 0.258 (0.155-0.430) | < 0.001 |
LD arm | 5 | 847 | 0.465 | ~0 | Very low | 2-yr LC 71.7% (68.9-74.4) | |
HD arm | 5 | 326 | 0.085 | 51.20 | Moderate | 2-yr LC 88.8% (82.0-93.2) | |
Overall survival | |||||||
Overall | 3 | 781 | 0.298 | 17.40 | Low | OR 0.597 (0.361-0.986) | 0.044 |
LD arm | 3 | 505 | 0.033 | 70.60 | Moderate to high | 2-yr OS 63.1% (45.8-77.6) | |
HD arm | 3 | 233 | 0.535 | ~0 | Very low | 2-yr OS 75.6% (69.6-80.7) |
BED10, biologically effective dose with α/β ratio of 10; CK, CyberKnife; CTV, clinical target volume; Dmax, maximum point dose; fx, fraction; GTV, gross target volume; Linac, linear accelerator; NA, not assessable; P, prospective; PTV, planning target volume; R, retrospective; SABR, stereotactic ablative radiotherapy; V95%, the percent volume that received at least 95% of the prescription dose; VMAT, volumetric modulated arc therapy; 3D-CRT, three-dimensional conformal radiotherapy.
F/U, follow-up; LC, local control; NA, not assessable; OS, overall survival; PFS, progression-free survival.
CI, confidence interval.
BED10, biologically effective dose with α/β ratio of 10; HR, hazard ratio; NA, not assessable. *It was proven as an independent factor in the multivariate analysis.
CI, confidence interval; HD, high dose with ≥ 100 Gy in biological effective dose; LC, local control; LD, low dose with < 100 Gy in biological effective dose; OR, odds ratio; OS, overall survival.