| Literature DB >> 34018007 |
Joe D Baal1, William C Chen2, Ulysis Baal1, Sagar Wagle3, Jed H Baal1, Thomas M Link1, Matthew D Bucknor4.
Abstract
OBJECTIVE: To report the safety and efficacy of magnetic resonance-guided focused ultrasound (MRgFUS) in the treatment of painful bone metastases through a systematic review and meta-analysis of pain scores before and after MRgFUS treatment and post-treatment adverse events.Entities:
Keywords: Bone metastases; Efficacy; MRgFUS; Meta-analysis; Palliative; Safety
Mesh:
Year: 2021 PMID: 34018007 PMCID: PMC8536557 DOI: 10.1007/s00256-021-03822-8
Source DB: PubMed Journal: Skeletal Radiol ISSN: 0364-2348 Impact factor: 2.199
Fig. 1Flowchart of literature search and study selection process
Characteristics of pooled patient population
| Number of studies | 33 (13 abstracts) |
| Number of patients | 1082 (median 21, range 5–140) |
| Median age (22 studies) | 60.0 (range 4.3–69.0) |
| Median follow-up (months; 29 studies) | 3.0 (range 1.0–12.0) |
| Primary malignancy (20 studies, | |
| Prostate ( | 47 (10.0) |
| Breast | 142 (30.2) |
| Lung | 67 (14.3) |
| Renal | 66 (14.0) |
| Colorectal | 20 (4.3) |
| Liver | 7 (1.5) |
| Other | 121 (25.7) |
| Bone location (21 studies, | |
| Pelvis ( | 415 (72.2) |
| Ribs | 81 (14.1) |
| Extremities | 80 (13.9) |
| Scapula | 25 (4.3) |
| Spine | 7 (1.2) |
| Overall treatment response (20 studies, | 502 (78.9) |
| Median pain scores (20 studies, | |
| Baseline | 6.7 (range 3.8–8.0) |
| 1 month after treatment | 3.0 (range 1.3–5.3) |
| 3 months after treatment | 1.9 (range 0.5–4.8) |
| Adverse events (26 studies, | |
| High-grade toxicity (grade 3 +) | 7 (0.9%) |
| Low-grade toxicity (grades 1–2) | 47 (5.9%) |
Study-specific characteristics
| Author, year | N Pts | Age | F/u (mo) | N TR (%) | Baseline PS | Baseline SD | 1mo PS | 3mo PS | 3mo SD | N ≥ G3 tox (%) | N < G3 tox (%) | FUS system |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Namba, 2019 [ | 10 | 69 | 3 | 8 (80) | 6 | 2.7 | 3 | 2 | 4.1* | InSightec | ||
| Tsai, 2019 [ | 31 | 60 | 3 | 26 (84) | 5.6 | 1.8 | 0 (0) | 4 (12.9) | InSightec | |||
| Wang B., 2019 [ | 30 | 4.3 | 3 | 26 (87) | 6.6 | 2.4 | 3.4 | 1.8 | 0.96 | 0 (0) | 8 (2.7) | InSightec |
| Giles, 2019 [ | 9 | 52.6 | 3 | 6 (67) | 7.3 | 1.4 | 2.5 | 1.5 | 2.2 | 0 (0) | 2 (2.2) | Profound Medical |
| Dababou, 2019 [ | 140 | 12 | 109 (78) | N/A | ||||||||
| Marrocchio, 2019 [ | 11 | 0 (0) | 0 (0) | N/A | ||||||||
| Bertrand, 2018 [ | 17 | 61 | 1 | 14 (82) | 7.5 | 1.33 | 1.9 | InSightec | ||||
| Wang S., 2018 [ | 21 | 3 | 7.7 | 1.6 | 3.9 | 3.7 | 2.7 | N/A | ||||
| Chen Z., 2018 [ | 26 | 60 | 12 | 6.7 | 1.5 | 4 | 4.8 | 1.1 | InSightec | |||
| Harding, 2018 [ | 18 | 57 | 3 | 13 (72) | 7 | 1 | 0 (0) | 0 (0) | Philips | |||
| Xiong, 2018 [ | 14 | 3 | 6.5 | 4 | 5.25 | 2.5 | 4.75 | 1 (7.1) | 5 (3.6) | N/A | ||
| Lee H., 2017 [ | 21 | 59 | 3 | 16 (76) | 6.57 | 1.6 | 2 | 1 | 1.4* | 0 (0) | 2 (9.5) | InSightec |
| Bazzocchi, 2017 | 11 | 56 | 3 | 3.8 | 2.8 | 1.8 | 2.3 | 0 (0) | 0 (0) | N/A | ||
| Chan M., 2017 [ | 6 | 68.5 | 1 | 6 (100) | 2 | 0 (0) | 0 (0) | Philips | ||||
| Anzidei, 2016 [ | 23 | 63.6 | 6 | 22 (96) | 7.09 | 1.8 | 2.65 | 1.04 | 1.91 | 0 (0) | 0 (0) | InSightec |
| Wang Q., 2016 [ | 71 | 3 | 6.7 | 1.82 | 4 | 3.7 | 2.81 | N/A | ||||
| Gu, 2015 [ | 23 | 6 | 1.5 | 3.1 | 2.2 | 1 | 0 (0) | 4 (17.4) | InSightec | |||
| Joo, 2015 [ | 5 | 60 | 12 | 5.92 | 1.28 | 2.92 | 0.75 | 1 | 0 (0) | 1 (20.0) | InSightec | |
| Chen L., 2014 [ | 7 | 3 | 8 | 1.1 | 3 | 3.4 | 1.5 | 0 (0) | 0 (0) | N/A | ||
| Huisman, 2014 [ | 11 | 60 | 1 | 7 (64) | 7.54 | 3.75 | 3.82 | 0 (0) | 2 (18.2) | Philips | ||
| Hurwitz, 2014 [ | 112 | 61.7 | 3 | 72 (64) | 7 | 3.1 | 3.3 | 3.3 | 3.4* | 3 (2.7) | 11 (9.8) | InSightec |
| Pfeffer, 2014 [ | 22 | 69 | 3 | 16 (73) | 0 (0) | 0 (0) | N/A | |||||
| Turkevich, 2014 [ | 32 | 57 | 3 | 32 (100) | 6.8 | 1.9 | 1.1 | 0 (0) | 0 (0) | InSightec | ||
| Zaccagna, 2014 | 72 | 62 | 6 | 63 (88) | 6 | 6.3 | 2 | 6.3* | 0 (0) | 0 (0) | InSightec | |
| Boni, 2013 [ | 11 | 8 (73) | N/A | |||||||||
| Napoli, 2013 [ | 18 | 63 | 3 | 16 (89) | 7.1 | 2.08 | 2.5 | 1 | 1.1 | 0 (0) | 0 (0) | InSightec |
| Pfeffer, 2013 | 17 | 59 | 3 | 13 (76) | 7.6 | 3.1 | 2.7 | 0 (0) | 0 (0) | N/A | ||
| Noce, 2013 [ | 36 | 60.3 | 3 | 0 (0) | 0 (0) | InSightec | ||||||
| Meyer, 2013 | 115 | 3 (2.6) | 1 (0.9) | N/A | ||||||||
| Catane, 2012 [ | 93 | 3 | 6.9 | 3.3 | 2.6 | 0 (0) | 6 (6.5) | N/A | ||||
| Liberman, 2009 [ | 25 | 61 | 3 | 18 (72) | 5.9 | 0.8 | 2.3 | 1.8 | 1.4* | 0 (0) | 0 (0) | InSightec |
| Gianfelice, 2008 [ | 11 | 59 | 3 | 11 (100) | 6.27 | 1.73 | 1.3 | 0.5 | 0.54 | 0 (0) | 0 (0) | InSightec |
| Catane, 2007 [ | 13 | 6 | 5.5 | 1.7 | 1.2 | 0 (0) | 1 (7.7) | InSightec |
Estimated SD
PS, pain score, TR, treatment response
Fig. 2Forest plot for overall treatment response following MRgFUS treatment of painful bone metastases. Each study is identified by first author and year of publication, with the box representing individual study point estimates, the size of the box indicating the relative contribution to pooled estimate, horizontal lines signifying 95% CIs, and diamonds marking the fixed and random-effects pooled estimates
Fig. 3Forest plot of the mean difference in pain scores 1 month after MRgFUS treatment
Fig. 4Forest plot of the mean difference in pain scores 3 months after MRgFUS treatment