Two-year experience of multi-disciplinary team (MDT) outcomes for brain metastases in a tertiary neuro-oncology centre

Defining the quality of interdisciplinary care for patients with brain metastases: modified Delphi panel recommendations

The value of interdisciplinary teams in improving outcomes and quality of care of patients with brain metastases remains uncertain, partly due to the lack of consensus on key indicators to evaluate interprofessional care. We aimed to obtain expert consensus across disciplines on indicators that evaluate the quality and value of brain metastases care. A steering committee of key opinion leaders curated relevant outcomes and process indicators from a literature review and a stakeholder needs assessment, and an international panel of physicians rated the outcomes and process indicators using a modified Delphi method. After three rounds, a consensus was reached on 29 indicators encompassing brain-directed oncological treatment, surgery, whole-brain radiotherapy, stereotactic radiosurgery, supportive or palliative care, and interdisciplinary team care. The Brain Metastases Quality-of-Care measure reflects the value and quality of brain metastases team-based care according to treatment modality and provides a benchmark of care for this under-studied patient population. The adoption, implementation, and sustainability of this set of indicators could help address the need expressed by patients with cancer, caregivers, and clinicians for more coordinated care across inpatient, outpatient, home, community, and tertiary academic settings.

A Multi-Center, Multi-Parametric MRI Dataset of Primary and Secondary Brain Tumors

Brain metastases (BMs) and high-grade gliomas (HGGs) are the most common and aggressive types of malignant brain tumors in adults, with often poor prognosis and short survival. As their clinical symptoms and image appearances on conventional magnetic resonance imaging (MRI) can be astonishingly similar, their accurate differentiation based solely on clinical and radiological information can be very challenging, particularly for "cancer of unknown primary", where no systemic malignancy is known or found. Non-invasive multiparametric MRI and radiomics offer the potential to identify these distinct biological properties, aiding in the characterization and differentiation of HGGs and BMs. However, there is a scarcity of publicly available multi-origin brain tumor imaging data for tumor characterization. In this paper, we introduce a multi-center, multi-origin brain tumor MRI (MOTUM) imaging dataset obtained from 67 patients: 29 with high-grade gliomas, 20 with lung metastases, 10 with breast metastases, 2 with gastric metastasis, 4 with ovarian metastasis, and 2 with melanoma metastasis. This dataset includes anonymized DICOM files alongside processed FLAIR, T1-weighted, contrast-enhanced T1-weighted, T2-weighted sequences images, segmentation masks of two tumor regions, and clinical data. Our data-sharing initiative is to support the benchmarking of automated tumor segmentation, multi-modal machine learning, and disease differentiation of multi-origin brain tumors in a multi-center setting.

Diagnostic validity and reliability of BT-RADS in the management of recurrent high-grade glioma

BACKGROUND AND PURPOSE

BT-RADS is a new framework system for reporting the treatment response of brain tumors. The aim of the study was to assess the diagnostic performance and reliability of the BT-RADS in predicting the recurrence of high-grade glioma (HGG).

MATERIALS AND METHODS

This prospective single-center study recruited 81 cases with previously operated and pathologically proven HGG. The patients underwent baseline and follow-up contrast-enhanced MRI (CE-MRI). Two neuro-radiologists with ten years-experience in neuroimaging independently analyzed and interpreted the MRI images and assigned a BT-RADS category for each case. To assess the diagnostic accuracy of the BT-RADS for detecting recurrent HGG, the reference standard was the histopathology for BT-RADS categories 3 and 4, while neurological clinical examination and clinical follow up were used as a reference for BT-RADS categories 1 and 2. The inter-reader agreement was assessed using the Cohen's Kappa test.

RESULTS

The study included 81 cases of HGG, of which 42 were recurrent and 39 were non-recurrent HGG cases based on the reference test. BT-RADS 3B was the best cutoff for predicting recurrent HGG with a sensitivity of 90.5 % to 92.9 %, specificity of 76.9 % to 84.6 %, and accuracy of 83.9 % to 88.9 %, based on both readers. The BT-RADS showed a substantial inter-reader agreement with a K of 0.710 (P = 0.001).

CONCLUSIONS

The BT-RADS is a valid and reliable framework for predicting recurrent HGG. Moreover, BT-RADS can help neuro-oncologists make clinical decisions that can potentially improve the patient's outcome.

Relevance of the Updated Recursive Partitioning Analysis (U-RPA) Classification in the Contemporary Care of Patients with Brain Metastases

Patients with brain metastases (BMETS) need information about the prognosis and potential value of treatment options to make informed therapeutic decisions, but tools to predict survival in contemporary practice are scarce. We propose an Updated Recursive Partitioning Analysis (U-RPA) instrument to predict survival and benefit from brain-directed treatment (BDT) of contemporary patients. This was a retrospective analysis of patients with BMETS treated between 2017 and 2019. With survival as the primary endpoint, we calculated the U-RPA and generated estimates using Kaplan-Meier curves and hazard ratios. Of 862 eligible patients, 752 received BDT and 110 received best supportive care (BSC). Median overall survival with BDT and BSC was 9.3 and 1.3 months, respectively. Patients in RPA class 1, 2A, 2B and 3 who underwent BDT had median survival of 28.1, 14.7, 7.6 and 3.3 months, respectively. The median survival for patients in RPA 3 who received BDT (n = 147), WBRT (n = 79) and SRS (n = 54) was 3.3, 2.9 and 4.1 months, respectively. The U-RPA defines prognosis estimates, independent of tumor type and treatment modality, which can assist to make value-based care treatment decisions. The prognosis for patients in U-RPA class 2B and 3 remains poor, with consideration for early palliative care involvement in these cases.

Preoperative Prognostic Index for Patients with Brain Metastases-A Population-Based Multi-Centre Study

BACKGROUND

Brain metastases (BM) are common in cancer patients and are associated with high morbidity and mortality. Surgery is an option, but the optimal selection of patients for surgery is challenging and controversial. Current prognostication tools are not ideal for preoperative prognostication. By using a reference population (derivation data set) and two external populations (validation data set) of patients who underwent surgery for BM, we aimed to create and validate a preoperative prognostic index.

METHODS

The derivation data set consists of 590 patients who underwent surgery for BM (2011-2018) at Oslo University Hospital. We identified variables associated with survival and created a preoperative prognostic index with four prognostic groups, which was validated on patients who underwent surgery for BM at Karolinska University Hospital and St. Olavs University Hospital during the same time period. To reduce over-fitting, we adjusted the index in accordance with our findings.

RESULTS

438 patients were included in the validation data set. The preoperative prognostic index correctly divided patients into four true prognostic groups. The two prognostic groups with the poorest survival outcomes overlapped, and these were merged to create the adjusted preoperative prognostic index.

CONCLUSION

We created a prognostic index for patients with BM that predicts overall survival preoperatively. This index might be valuable in supporting informed choice when considering surgery for BM.

Determining Contemporary Barriers to Effective Multidisciplinary Team Meetings in Neurological Surgery: A Review of the Literature

OBJECTIVE

The integration of multidisciplinary team meetings (MDTMs) for neurosurgical care has been accepted worldwide. Our objective was to review the literature for the limiting factors to MDTMs that may introduce bias to patient care.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis was used to perform a literature review of MDTMs for neuro-oncology, pituitary oncology, cerebrovascular surgery, and spine surgery and spine oncology. Limiting factors to productive MDTMs and factors that introduce bias were identified, as well as determining whether MDTMs led to improved patient outcomes.

RESULTS

We identified 1264 manuscripts from a PubMed and Ovid Medline search, of which 27 of 500 neuro-oncology, 4 of 279 pituitary, and 11 of 260 spine surgery articles met our inclusion criteria. Of 224 cerebrovascular manuscripts, none met the criteria. Factors for productive MDTMs included quaternary/tertiary referral centers, nonhierarchical environment, regularly scheduled meetings, concise inclusion of nonmedical factors at the same level of importance as patient clinical information, inclusion of nonclinical participants, and use of clinical guidelines and institutional protocols to provide recommendations. Our review did not identify literature that described the use of artificial intelligence to reduce bias and guide clinical care.

CONCLUSIONS

The continued implementation of MDTMs in neurosurgery should be recommended but cautioned by limiting bias.

Analysis of the multidisciplinary approach for the management of patients affected by chronic myeloid leukaemia

Background

Chronic myelogenous leukaemia (CML) is a pathological clinical condition with a yearly incidence between 10 and 15 cases per million people, 14 in Italy. Its incidence increases with age, reaching 20–25 yearly cases per million individuals in people over 70 years. A growing importance has been given to the need of a multidisciplinary approach (MDA) for the management of patients with CML.

Objective

To analyse the importance of MDA as compared with the current Italian standard of care for the management of CML patients based on the involvement of several health professional figures.

Methods

A group of healthcare professionals from several healthcare structures were gathered in a first Advisory Board (AB) and divided into as many groups as the number of belonging health structures representative of the Italian provision of therapeutic approaches for CML. In a second AB, the results were validated by the same panel of experts.

Results

The number of dedicated health professionals within the dedicated ward ranged from 1 to 13. Most structures rely on several professionals intervening only in case of necessity. Only one centre provides a booking service based on clinical needs to avoid waiting times. Most centres report there is basically no disagreement in the definition of the clinical pathway and there is a high adherence to national and international CML guidelines.

Conclusions

The development of forms of interorganisational and interprofessional coordination to improve the diagnosis and the treatment of CML patients have been for long on the agenda of policy makers, managers and professionals for more than 20 years. This analysis represents a starting reference to consider for the evaluation of an MDA in the Italian context.

Brain Metastasis-A Distinct Oncologic Disease Best Served by an Integrated Multidisciplinary Team Approach

This Viewpoint discusses the identification and treatment of brain metastasis as a distinct disease and its management with a multidisciplinary approach to improve patient outcomes.

Cross-sectional survey of patients, caregivers, and physicians on diagnosis and treatment of brain metastases

BACKGROUND

The development of brain metastases (BM) is one of the most feared complications of cancer due to the substantial neurocognitive morbidity and a grim prognosis. In the past decade, targeted therapies and checkpoint inhibitors have demonstrated promising intracranial response rates for tumors of multiple histologies. As overall survival for these patients improves, there is a growing need to identify issues surrounding patient survivorship and to standardize physician practice patterns for these patients. To date, there has not been an adequate study to specifically explore these questions of survivorship and practice standardization for patients with advanced cancer and BM.

METHODS

Here, we present results from a cross-sectional survey in which we analyze responses from 237 patients, 209 caregivers, and 239 physicians to identify areas of improvement in the clinical care of BM.

RESULTS

In comparing physician and patient/caregiver responses, we found a disparity in the perceived discussion of topics pertaining to important aspects of BM clinical care. We identified variability in practice patterns for this patient population between private practice and academic physicians. Many physicians continue to have patients with BM excluded from clinical trials. Finally, we obtained patient/physician recommendations on high-yield areas for federal funding to improve patient quality of life.

CONCLUSION

By identifying potential areas of unmet need, we anticipate this wealth of actionable information will translate into tangible benefits for both patients and caregivers. Future studies are needed to validate our findings.

Surgical Treatment of Cerebellar Metastases: Survival Benefits, Complications and Timing Issues

Simple Summary

Cerebellar metastases are often considered to have a poor prognosis. This retrospective study investigated the clinical course and functional outcome of 73 patients who underwent surgical treatment for cerebellar metastases. Median overall survival was 9.2 months which compares favorably with the more recent literature. Prognosis varied strikingly between individuals. This suggests a policy of individualized decision-making which includes offering surgery also in selected cases with adverse prognostic parameters. The presence of extracerebral metastases did not significantly influence survival which may justify expedited surgery in selected cases prior to the oncological work-up. Systemic therapy was associated with substantially better survival indicating that recent advances in medical oncology might amplify any survival benefit derived from surgery. Surgery was found to carry significant morbidity and even mortality. Major complications often precluded adjuvant treatment and correlated with markedly reduced survival. Complication avoidance is therefore of utmost importance.

Abstract

We retrospectively studied 73 consecutive patients who underwent surgery 2015–2020 for removal of cerebellar metastases (CM). Median overall survival (medOS) varied widely between patients and compared favorably with the more recent literature (9.2, 25–75% IQR: 3.2–21.7 months vs. 5–8 months). Prognostic factors included clinical (but not radiological) hydrocephalus (medOS 11.3 vs. 5.2 months, p = 0.0374). Of note, a third of the patients with a KPI <70% or multiple metastases survived >12 months. Chemotherapy played a prominent prognostic role (medOS 15.5 vs. 2.3, p < 0.0001) possibly reflecting advances in treating systemic vis-à-vis controlled CNS disease. Major neurological (≥30 days), surgical and medical complications (CTCAE III–V) were observed in 8.2%, 13.7%, and 9.6%, respectively. The occurrence of a major complication markedly reduced survival (10.7 vs. 2.5 months, p = 0.020). The presence of extracerebral metastases did not significantly influence OS. Postponing staging was not associated with more complications or shorter survival. Together these data argue for individualized decision making which includes offering surgery in selected cases with a presumably adverse prognosis and also occasional urgent operations in cases without a preoperative oncological work-up. Complication avoidance is of utmost importance.

The Management of Brain Metastases-Systematic Review of Neurosurgical Aspects

The multidisciplinary management of patients with brain metastases (BM) consists of surgical resection, different radiation treatment modalities, cytotoxic chemotherapy, and targeted molecular treatment. This review presents the current state of neurosurgical technology applied to achieve maximal resection with minimal morbidity as a treatment paradigm in patients with BM. In addition, we discuss the contribution of neurosurgical resection on functional outcome, advanced systemic treatment strategies, and enhanced understanding of the tumor biology.

Foundations of Neuro-Oncology: A Multidisciplinary Approach

Neuro-oncology is a branch of medicine focused on the diagnosis and treatment of primary and secondary tumors of the nervous system as well as the neurologic complications of cancer and cancer treatments. In practice, neuro-oncologists require an intimate knowledge of the neurologic presentation and management of central nervous system tumors, including gliomas, meningiomas, primary central nervous system lymphoma, metastases to the nervous system, and others. The mainstays of treatment for most nervous system tumors include surgical intervention, radiation therapy, and medical treatment with chemotherapy, immunotherapy, and/or targeted therapy. Interdisciplinary collaboration is thus critical to neuro-oncology. The prognosis for many central nervous system tumors, including gliomas and brain metastases, is often poor despite the advent of novel medical therapies. Efforts to develop more effective therapies are ongoing, and patient enrollment in clinical trials assessing the efficacy of new treatments is crucial to improve outcomes.

Incidence, risk factors and survival of patients with brain metastases at initial metastatic breast cancer diagnosis in China

Purpose

To characterize the incidence, risk factors and survival of patients with brain metastases at initial diagnosis of metastatic breast cancer (MBC) in China.

Methods

The China National Cancer Center database was used to identify 2087 MBC patients diagnosed between 2003 and 2015. Clinicopathological features, treatment and survival information were extracted. Multivariable logistic and Cox regression were performed to determine factors predictive of brain metastases at MBC diagnosis and survival, respectively.

Results

Brain metastases occurred in ninety patients (4.3%) at MBC diagnosis, and in 27 patients (2.5%), 42 patients (7.2%) and 21 patients (5.2%) with hormone receptor positive, human epidermal growth factor receptor 2 negative (HR + HER2-), HER2-positive and triple negative breast cancer (TNBC), respectively. HER2-positive subtype (OR = 2.38; 95% CI 1.40–4.04; p < 0.0001), TNBC subtype (OR = 1.89; 95% CI 1.02–3.51; p = 0.005), and metastases to all three sites of bone, liver and lungs (OR = 3.23; 95% CI 1.52–6.87; p = 0.002) were shown to increase the risk of BM at MBC diagnosis. Median survival after BM was 23.7 months. First-line tyrosine kinase inhibitors (TKI) improved survival compared to trastuzumab-based regimen (44.9 vs 35.4 months, p = 0.09). Factors that independently decreased BM death risk were ECOG<2, brain metastases only and multidisciplinary treatment.

Conclusion

HER2-positive and TNBC subtypes have a higher incidence of BM at initial MBC diagnosis. Brain screening might be considered in patients with HER2-positive disease at MBC diagnosis, and further prospective randomized study is warranted.

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Large retrospective analysis focusing on patients with BM at initial MBC diagnosis.

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HER2-positive subtype presented with the highest incidence of BM at initial MBC diagnosis.

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Patients with brain metastases only and receiving multidisciplinary treatment have a superior OS.

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Brain screening might be considered in HER2-positive patients with BM at MBC diagnosis.

Genesis of Quality Measurements to Improve the Care Delivered to Patients With Brain Metastases

PURPOSE

High-value and high-quality health care requires outcome measurements to inform treatment decisions, but, to our knowledge, no standardized measurements exist to evaluate brain metastases (BMs) care. We propose a set of measurements and report on their implementation in the care of patients with BMs.

METHODS

On the basis of a stakeholders' needs assessment and review of the literature, we identified outcome and process measurements to assess the care of patients with BMs according to treatment modality. Retrospectively, we applied these indicators of care to all patients diagnosed and treated at our institution over 2 years.

RESULTS

We ascertained 5 outcome and 6 process measurements of relevance in the care of BMs. When applied to 209 patients (89.7%) who received cancer treatment, 77% were alive > 90 days after diagnosis. The proportion alive at 90 days after surgery, whole-brain radiation therapy (WBRT), and stereotactic radiosurgery (SRS) was 82%, 59%, and 81%, respectively. Other performance measurements included 30-day postoperative readmission rate (6%), SRS within 30 days of surgery (79%), use of memantine with WBRT (41%), advance directives within 6 months of diagnosis (53%), and palliative care consultation for patients with poor prognosis or receiving WBRT (45%). Measurements for the 24 patients (10.3%) receiving best supportive care were advance directives documentation (67%) and referral to palliative or hospice care (83%).

CONCLUSION

We propose a set of measurements to apprise quality improvement efforts, inform treatment decision-making, and to use in evaluation of the performance of interdisciplinary BMs programs. Their refinement can potentially enhance the quality and value of care delivered to patients with BMs.

Management evaluation of metastasis in the brain (MEMBRAIN)-a United Kingdom and Ireland prospective, multicenter observational study

BACKGROUND

In recent years an increasing number of patients with cerebral metastasis (CM) have been referred to the neuro-oncology multidisciplinary team (NMDT). Our aim was to obtain a national picture of CM referrals to assess referral volume and quality and factors affecting NMDT decision making.

METHODS

A prospective multicenter cohort study including all adult patients referred to NMDT with 1 or more CM was conducted. Data were collected in neurosurgical units from November 2017 to February 2018. Demographics, primary disease, KPS, imaging, and treatment recommendation were entered into an online database.

RESULTS

A total of 1048 patients were analyzed from 24 neurosurgical units. Median age was 65 years (range, 21-93 years) with a median number of 3 referrals (range, 1-17 referrals) per NMDT. The most common primary malignancies were lung (36.5%, n = 383), breast (18.4%, n = 193), and melanoma (12.0%, n = 126). A total of 51.6% (n = 541) of the referrals were for a solitary metastasis and resulted in specialist intervention being offered in 67.5% (n = 365) of cases. A total of 38.2% (n = 186) of patients being referred with multiple CMs were offered specialist treatment. NMDT decision making was associated with number of CMs, age, KPS, primary disease status, and extent of extracranial disease (univariate logistic regression, P < .001) as well as sentinel location and tumor histology (P < .05). A delay in reaching an NMDT decision was identified in 18.6% (n = 195) of cases.

CONCLUSIONS

This study demonstrates a changing landscape of metastasis management in the United Kingdom and Ireland, including a trend away from adjuvant whole-brain radiotherapy and specialist intervention being offered to a significant proportion of patients with multiple CMs. Poor quality or incomplete referrals cause delay in NMDT decision making.

Dynamic susceptibility MR perfusion in diagnosing recurrent brain metastases after radiotherapy: A systematic review and meta-analysis

Background

The diagnostic performance of dynamic susceptibility contrast (DSC) MR perfusion in discriminating treatment‐related changes from recurrence in irradiated brain metastases is currently not completely clear.

Purpose

To systematically review the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy.

Study Type

Systematic review and meta‐analysis.

Subjects

MEDLINE and Embase were searched for original studies investigating the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy. Ten studies, comprising a total of more than 271 metastases, were included.

Field Strength/Sequence

1.5T or 3.0T, DSC MR perfusion.

Assessment

Quality assessment was performed according to the Quality Assessment of Diagnostic Accuracy Studies‐2 tool.

Statistical Tests

Sensitivity and specificity were pooled with a bivariate random‐effects model. Heterogeneity was assessed by a chi‐squared test. Potential sources for heterogeneity were explored by subgroup analyses.

Results

In seven studies the diagnostic criterion was not prespecified. In eight studies it was unclear whether the reference standard was interpreted blindly. In seven studies it was unclear whether DSC MR perfusion results influenced which reference standard was used. Pooled sensitivity and specificity were 81.6% (95% confidence interval [CI]: 70.6%, 89.1%) and 80.6% (95% CI: 64.2%, 90.6%), respectively. There was significant heterogeneity in both sensitivity (P = 0.005) and specificity (P < 0.001). There were no significant differences in relative diagnostic odds ratio according to publication year, country of origin, study size, and DSC MR perfusion interpretation method (visual analysis of cerebral blood volume [CBV] map vs. relative CBV measurement) (P > 0.2). Due to insufficiently detailed reporting, it was not possible to investigate the influence of primary tumor origin on accuracy.

Data Conclusion

Our results suggest that the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy is fairly high. However, these findings should be interpreted with caution because of methodological quality concerns and heterogeneity between studies.

Level of Evidence: 3

Technical Efficacy: Stage 2

J. Magn. Reson. Imaging 2020;51:524–534.