| Literature DB >> 31608228 |
Alfredo Conti1,2, Güliz Acker1,2,3, Anne Kluge3,4, Franziska Loebel1,2,3, Anita Kreimeier3,4, Volker Budach3,4, Peter Vajkoczy1,2,3, Ilaria Ghetti5, Antonino F Germano'5, Carolin Senger3,4.
Abstract
Spine metastases affect more than 70% of terminal cancer patients that eventually suffer from severe pain and neurological symptoms. Nevertheless, in the overwhelming majority of the cases, a spinal metastasis represents just one location of a diffuse systemic disease. Therefore, the best practice for treatment of spinal metastases depends on many different aspects of an oncological disease, including the assessment of neurological status, pain, location, and dissemination of the disease as well as the ability to predict the risk of disease progression with neurological worsening, benefits and risks associated to treatment and, eventually, expected survival. To address this need for a framework and algorithm that takes all aspects of care into consideration, we reviewed available evidence on the multidisciplinary management of spinal metastases. According to the latest evidence, the use of stereotactic radiosurgery (SRS) or stereotactic body radiotherapy (SBRT) for spinal metastatic disease is rapidly increasing. Indeed, aggressive surgical resection may provide the best results in terms of local control, but carries a significant rate of post-surgical morbidity whose incidence and severity appears to be correlated to the extent of resection. The multidisciplinary management represents, according to current evidence, the best option for the treatment of spinal metastases. Noteworthy, according to the recent literature evidence, cases that once required radical surgical resection followed by low-dose conventional radiotherapy, can now be more effectively treated by minimally invasive spinal surgery (MISS) followed by spine SRS with decreased morbidity, improved local control, and more durable pain control. This combination allows also extending this standard of care to patients that would be too sick for an aggressive surgical treatment.Entities:
Keywords: minimally invasive spine surgery; radiosurgery; separation surgery; spinal metastasis; stereotactic body radiotherapy
Year: 2019 PMID: 31608228 PMCID: PMC6761912 DOI: 10.3389/fonc.2019.00915
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Revised Tokuashi Score.
| Poor (KPS 10–40%) | 0 |
| Moderate (KPS 50–70%) | 1 |
| Good (KPS 80–100%) | 2 |
| >3 | 0 |
| 1–3 | 1 |
| 0 | 2 |
| >3 | 0 |
| 1–3 | 1 |
| 0 | 2 |
| Resectable | 0 |
| Unresectable | 1 |
| No metastases | 2 |
| Lung, osteosarcoma, stomach, bladder, esophagus, pancreas | 0 |
| Liver, gallbladder, unidentified | 1 |
| Others | 2 |
| Kidney, uterus | 3 |
| Rectum | 4 |
| Thyroid, prostate, breast, carcinoid tumor | 4 |
| Complete (Frankel A, B) | 0 |
| Incomplete (Frankel CD) | 1 |
| None (Frankel E) | 2 |
| 0–8 | <6 months |
| 9–11 | ≥6 months |
| 12–15 | ≥12 months |
Recursive Partitioning Analysis scoring system for patients with spinal metastases.
| I | KPS ≥70 |
| Age ≥ 65 | |
| Controlled primary tumor | |
| No extracranial Metastases | |
| II | KPS ≥70 |
| Age ≥ 65 | |
| Uncontrolled primary tumor | |
| Presence of extracranial Metastases | |
| III | KPS <70 |
Tomita scoring system.
| Slow growth (breast, thyroid, etc.) | 1 |
| Moderate growth (kidney, uterus, etc.) | 2 |
| Rapid growth (lung, stomach, etc.) | 4 |
| Treatable | 2 |
| Untreatable | 4 |
| Solitary or isolated | 1 |
| Multiple | 2 |
| 2–4 | >2 years |
| 4–6 | 1–2 years |
| 6–8 | 6–12 months |
| 8–10 | <3 months |
Spine Instability Neoplastic Scale (SINS).
| Junctional (C0-C2, C7-T2, T11-L2, L5-S1) | 3 |
| Mobile spine (C3-C6, L2-L4) | 2 |
| Semi-rigid (T3-T10) | 1 |
| Rigid (S2-S5) | 0 |
| Yes | 3 |
| No (occasional pain but not mechanical) | 1 |
| Pain-free lesion | 0 |
| Lytic | 2 |
| Mixed lytic or blastic | 1 |
| Blastic | 0 |
| Subluxation or translation | 4 |
| De-novo deformity (kyphosis or scoliosis) | 2 |
| Normal alignment | 0 |
| >50% collapse | 3 |
| <50% collapse | 2 |
| No collapse with 50% body involvement | 1 |
| None of the above | 0 |
| Unilateral | 3 |
| Bilateral | 1 |
| None of the above | 0 |
A score of 0–6 is classified as a stable spine, and no action is needed. A score of 7–12 receives a classification of indeterminate, and indicates potential instability, which warrants surgical consultation. A score of 13–18 indicates spinal instability that warrants surgical consultation.
Figure 1Bilski classification of epidural spinal cord compression (ESCC).
Figure 2A representative primary Cyberknife treatment case showing (A) the CT scan of the lesion before and 18 months after the treatment visualizing the stable lesion and (B) the Cyberknife therapy planning.
Summary of contouring guidelines for GTV, CTV, and PTV in spinal stereotactic radiosurgery.
| GTV | Contour gross tumor using all available imaging |
Include epidural and paraspinal components of the tumor | |
| CTV | Include abnormal marrow signal suspicious for microscopic invasion |
Include bony CTV expansion to account for subclinical spread | |
Should contain GTV | |
Circumferential CTVs encirclincg the cord should be avoided except in rare instances were the vertebral body, bilateral pedicles/lamina, and spinous processes are all involved or when there is extensive metastatic disease along the circumference of the epidural space without spinal cord compression | |
| PTV | Uniform expansion around the CTV |
CTV to PTV margins <3 mm | |
Modified dural margin adjacent critical structures to allow spacing at discretion of the treating physician unless GTV compromised | |
Never overlaps with cord | |
Should contain entire GTV and CTV |
CTV, clinical target volume; GTV, gross tumor volume; PTV, planning target volume. From Cox et al. (.
Calculated nBED (Gy2/2) for different probabilities of RM based on logistic regression models.
| Pmax | 25.68 | 33.78 | 38.56 | 41.99 | 44.68 | 0.87 |
| 0.1 cc | 12.88 | 20.79 | 25.46 | 28.81 | 31.44 | 0.83 |
| 0.2 cc | 9.29 | 17.20 | 21.87 | 25.22 | 27.75 | 0.81 |
| 0.3 cc | 6.08 | 14.14 | 18.90 | 22.32 | 25-00 | 0.79 |
| 0.4 cc | 3.52 | 11.74 | 16.61 | 20.09 | 22.83 | 0.78 |
| 0.5 cc | 0.76 | 9.26 | 14.28 | 17.89 | 20.71 | 0.77 |
| 0.6 cc | N/A | 6.78 | 12.02 | 15.78 | 18.73 | 0.76 |
| 0.7 cc | N/A | 4.00 | 9.53 | 13.50 | 16.60 | 0.73 |
| 0.8 cc | N/A | 1.41 | 7.23 | 11.40 | 14.67 | 0.72 |
From Sahgal et al. (66).
In regard to nBED 1% probability at volumes 0.6 cc or larger, algebraically they are negative doses and therefore left as not applicable (N/A). The area under the curve (AUC) for each model calculated for each volume indicates the fit of the logistic regression model.
Predicted maximal dose for 1–5 fractions that results in 1–5% probability of radiation myelopathy after radiosurgical reirradiation.
| 1% Probability | 9.2 | 12.5 | 14.8 | 16.7 | 18.2 |
| 2% Probability | 10.7 | 14.6 | 17.4 | 19.6 | 21.5 |
| 3% Probability | 11.5 | 15.7 | 18.8 | 21.2 | 23.1 |
| 4% Probability | 12.0 | 16.4 | 19.6 | 22.2 | 24.4 |
| 5% Probability | 12.4 | 17.0 | 20.3 | 23 | 25.3 |
From Sahgal et al. (.
Figure 3A representative case for a hybrid therapy with a prior surgery including decompression and stabilization followed by a radiosurgical treatment by Cyberknife. (A) Representative MRI images (left in sagittal view and right in axial view) of the metastatic lesion in thoracic vertebra 8. (B) Postoperative CT scan demonstrating the decompression in the lesional segment and dorsal spinal fusion of thoracic vertebra 7 and 9. (C) The Cyberknife treatment planning of the lesional vertebra body after surgery.
Figure 4Algorithm for spinal metastasis treatment. In turquoise, the assessment steps. In orange, the best treatment option for each assessment category (in purple) according to the literature review.