The aim of this study was to describe the use of 3D-printed sacral endoprostheses to reconstruct the pelvic ring and re-establish spinopelvic stability after total We retrospectively reviewed 32 patients who underwent TES in our hospital between January 2015 and December 2017. We divided the patients into three groups on the basis of the method of reconstruction: an endoprosthesis group (n = 10); a combined reconstruction group (n = 14), who underwent non-endoprosthetic combined reconstruction, including anterior spinal column fixation; and a spinopelvic fixation (SPF) group (n = 8), who underwent only SPF. Spinopelvic stability, implant survival (IS), intraoperative haemorrhage rate, and perioperative complication rate in the endoprosthesis group were documented and compared with those of other two groups.Aims
Patients and Methods
We report our experience of using a computer
navigation system to aid resection of malignant musculoskeletal tumours
of the pelvis and limbs and, where appropriate, their subsequent
reconstruction. We also highlight circumstances in which navigation
should be used with caution. We resected a musculoskeletal tumour from 18 patients (15 male,
three female, mean age of 30 years (13 to 75) using commercially
available computer navigation software (Orthomap 3D) and assessed
its impact on the accuracy of our surgery. Of nine pelvic tumours,
three had a biological reconstruction with extracorporeal irradiation,
four underwent endoprosthetic replacement (EPR) and two required
no bony reconstruction. There were eight tumours of the bones of
the limbs. Four diaphyseal tumours underwent biological reconstruction.
Two patients with a sarcoma of the proximal femur and two with a
sarcoma of the proximal humerus underwent extra-articular resection
and, where appropriate, EPR. One soft-tissue sarcoma of the adductor
compartment which involved the femur was resected and reconstructed
using an EPR. Computer navigation was used to aid reconstruction
in eight patients. Histological examination of the resected specimens revealed tumour-free
margins in all patients. Post-operative radiographs and CT showed
that the resection and reconstruction had been carried out as planned
in all patients where navigation was used. In two patients, computer
navigation had to be abandoned and the operation was completed under
CT and radiological control. The use of computer navigation in musculoskeletal oncology allows
accurate identification of the local anatomy and can define the
extent of the tumour and proposed resection margins. Furthermore,
it helps in reconstruction of limb length, rotation and overall
alignment after resection of an appendicular tumour. Cite this article:
We hypothesised that the use of computer navigation-assisted
surgery for pelvic and sacral tumours would reduce the risk of an
intralesional margin. We reviewed 31 patients (18 men and 13 women)
with a mean age of 52.9 years (13.5 to 77.2) in whom computer navigation-assisted
surgery had been carried out for a bone tumour of the pelvis or
sacrum. There were 23 primary malignant bone tumours, four metastatic
tumours and four locally advanced primary tumours of the rectum.
The registration error when using computer navigation was <
1 mm
in each case. There were no complications related to the navigation,
which allowed the preservation of sacral nerve roots (n = 13), resection
of otherwise inoperable disease (n = 4) and the avoidance of hindquarter
amputation (n = 3). The intralesional resection rate for primary
tumours of the pelvis and sacrum was 8.7% (n = 2): clear bone resection
margins were achieved in all cases. At a mean follow-up of 13.1
months (3 to 34) three patients (13%) had developed a local recurrence.
The mean time alive from diagnosis was 16.8 months (4 to 48). Computer navigation-assisted surgery is safe and has reduced
our intralesional resection rate for primary tumours of the pelvis
and sacrum. We recommend this technique as being worthy of further
consideration for this group of patients. Cite this article:
There is currently no consensus about the mean
volume of blood lost during spinal tumour surgery and surgery for metastatic
spinal disease. We conducted a systematic review of papers published
in the English language between 31 January 1992 and 31 January 2012.
Only papers that clearly presented blood loss data in spinal surgery
for metastatic disease were included. The random effects model was
used to obtain the pooled estimate of mean blood loss. We selected 18 papers, including six case series, ten retrospective
reviews and two prospective studies. Altogether, there were 760
patients who had undergone spinal tumour surgery and surgery for
metastatic spinal disease. The pooled estimate of peri-operative
blood loss was 2180 ml (95% confidence interval 1805 to 2554) with catastrophic
blood loss as high as 5000 ml, which is rare. Aside from two studies
that reported large amounts of mean blood loss (>
5500 ml), the
resulting funnel plot suggested an absence of publication bias.
This was confirmed by Egger’s test, which did not show any small-study
effects
(p = 0.119). However, there was strong evidence of heterogeneity
between studies (I. 2. = 90%; p <
0.001).
The use of a navigation system in musculoskeletal tumour surgery enables the integration of pre-operative CT and MRI images to generate a precise three-dimensional anatomical model of the site and the extent of the tumour. We carried out six consecutive resections of musculoskeletal tumour in five patients using an existing commercial computer navigation system. There were three women and two men with a mean age of 41 years (24 to 47). Reconstruction was performed using a tumour prosthesis in three lesions and a vascularised fibular graft in one. No reconstruction was needed in two cases. The mean follow-up was 6.9 months (3.5 to 10). The mean duration of surgery was 28 minutes (13 to 50). Examination of the resected specimens showed clear margins in all the tumour lesions and a resection that was exactly as planned.
Between 1992 and 1999, we treated 350 patients with skeletal metastases. A multivariable analysis of the patients was conducted using the Cox proportional hazards model. We identified five significant prognostic factors for survival, namely, the site of the primary lesion, the performance status (Eastern Cooperative Oncology Group status 3 or 4), the presence of visceral or cerebral metastases, any previous chemotherapy, and multiple skeletal metastases. The score for each significant factor was derived from the corresponding estimated regression coefficients (natural logarithm of the hazard ratio). The prognostic score was calculated by adding all the scores for individual factors. The rate of survival was 31% at six months and 11% at one year for the patients with a prognostic score of 6 or more. By contrast, patients with a prognostic score of 2 or less had a rate of survival of 98% at six months and 89% at one year. This scoring system can be used to determine the optimal treatment for patients with pathological fractures or epidural compression.