| Literature DB >> 26710923 |
Teele Kuusk1, Fausto Biancari2, Brian Lane3, Conrad Tobert4, Steven Campbell5, Uri Rimon6, Vito D'Andrea7, Aare Mehik8, Markku H Vaarala9.
Abstract
BACKGROUND: This study was performed to evaluate the impact of baseline characteristics and treatment methods on the outcome of sporadic renal angiomyolipoma (AML).Entities:
Mesh:
Year: 2015 PMID: 26710923 PMCID: PMC4693425 DOI: 10.1186/s12894-015-0118-2
Source DB: PubMed Journal: BMC Urol ISSN: 1471-2490 Impact factor: 2.264
Fig. 1Literature search flow chart
Baseline characteristics and outcomes of patients with renal angiomyolipomas
| Variables | Overall | Conservative treatment | Cryoablation | Embolisation | Radiofrequency ablation | Partial nephrectomy/ enucleation | Nephrectomy |
|
|---|---|---|---|---|---|---|---|---|
| No. of patients | 441 | 32 | 19 | 128 | 6 | 163 | 93 | |
| Age (years) | 51.5 ± 14.5 | 53.2 ± 15.0 | 53.6 ± 14.8 | 47.9 ± 14.7 | 60.4 ± 6.9 | 52.9 ± 13.7 | 52.4 ± 14.9 | 0.020 |
| Females | 353 (80.4) | 24 (75.0) | 18 (94.7) | 103 (80.5) | 5 (80) | 129 (79.6) | 74 (79.6) | 0.494 |
| Imaging method | <0.0001 | |||||||
| US | 9 (9.4) | 3 (9.4) | 0 | 2 (1.6) | 0 | 2 (1.2) | 2 (2.2) | |
| CT | 411 (93.6) | 26 (81.3) | 8 (42.1) | 125 (97.7) | 6 (100) | 160 (98.2) | 86 (94.5) | |
| MRI | 8 (1.8) | 3 (9.4) | 0 | 1 (0.8) | 0 | 1 (0.6) | 3 (3.3) | |
| CT/MRI | 11 (2.5) | 0 | 11 (57.9) | 0 | 0 | 0 | 0 | |
| Tumour diameter (cm) | 6.5 ± 5.0 | 4.4 ± 5.1 | 2.6 ± 1.6 | 9.1 ± 4.8 | 3.9 ± 2.5 | 4.7 ± 4.1 | 7.6 ± 6.0 | <0.0001 |
| Bleeding | 54 (12.2) | 4 (12.5) | 0 | 32 (25.0) | 0 | 7 (4.3) | 10 (10.8) | <0.0001 |
| 3-year survival | 97.9 % | 100 % | 94.7 % | 100 % | 100 % | 95.6 % | 98.4 % | 0.037 |
| Reintervention | 41 (9.4) | 1 (3.1) | 0 | 38 (29.7) | 0 | 2 (1.2) | 0 | <0.0001 |
| Surgery | 18 (4.1) | 0 | 0 | 17 (13.3) | 0 | 0 | 0 | <0.0001 |
| 3-year freedom from reintervention | 87.8 % | 96.9 % | 100 % | 63.5 % | 100 % | 98.2 % | 100 % | <0.0001 |
Data were obtained from the overall series, based on treatment strategy. Nominal variables are reported as counts and proportions; continuous variable are reported as mean and standard deviation
Fig. 2Box plot showing impact of baseline tumour size on severe bleeding. Fifty-four of 441 patients had severe bleeding at presentation (p < 0.0001)
Fig. 3Cox proportional hazards model for repeat intervention. The model was created according to different treatment strategies and adjusted for tumour diameter, presence of bleeding, age, and sex. The freedom from re-intervention curves after radiofrequency ablation and nephrectomy are behind the cryoablation curve in the figure