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Journal ArticleDOI

The impact of symptom interference using the MD Anderson Symptom Inventory-Brain Tumor Module (MDASI-BT) on prediction of recurrence in primary brain tumor patients.

TLDR
Tumor grade, age, extent of resection, and performance status are established prognostic factors for survival in primary brain tumor patients and development of disease‐related symptoms is predictive of tumor recurrence in other cancers but not in the PBT population.
Abstract
BACKGROUND: Tumor grade, age, extent of resection, and performance status are established prognostic factors for survival in primary brain tumor (PBT) patients. Development of disease-related symptoms is predictive of tumor recurrence in other cancers but has not been reported in the PBT population. METHODS: A cross-sectional sample of 294 PBT patients participated. Progression was based on the radiologist report of the magnetic resonance imaging (MRI). The relation of clinical variables (age, extent of resection, tumor grade, and Karnofsky performance status [KPS]) and MD Anderson Symptom Inventory-Brain Tumor Module (MDASI-BT) mean symptom and interference subscales with progression was examined using logistic regression. RESULTS: The study enrolled more men (60%, n = 175); median age was 46 years. The majority had less than a gross total resection (n = 186, 64%), and a good KPS (KPS ≥ 90) (N = 208). The majority had a grade 3 or 4 tumor (n = 199) and 24% of patients had recurrence. Tumor grade and activity-related interference were significantly related to progression. Patients with tumor grade 4 were 2.4 times more likely to have recurrence (95% CI, 1.2-5.; P < .015). Patients with significant (ratings of ≥5) activity-related interference were 3.8 times more likely to have recurrence (95% CI, 2.14-6.80; P < .001). Mean activity-related score was 4.8 for those with progression on MRI and 2.2 for those with stable disease. CONCLUSIONS: Significant activity-related interference and tumor grade were associated with recurrence but not KPS, age, or extent of resection. These results provide preliminary support for the use of symptom interference in assessment of disease status. Because the authors used a cross-sectional sample, future studies evaluating change over time are needed. Cancer 2011. © 2011 American Cancer Society.

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Determining priority signs and symptoms for use as clinical outcomes assessments in trials including patients with malignant gliomas: Panel 1 Report.

TL;DR: Identifying a core set of signs/symptoms and functional limitations is important for understanding their clinical impact and is the first step to including clinical outcomes assessment in primary brain tumor clinical trials.
References
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Journal ArticleDOI

The 2007 WHO Classification of Tumours of the Central Nervous System

TL;DR: The fourth edition of the World Health Organization (WHO) classification of tumours of the central nervous system, published in 2007, lists several new entities, including angiocentric glioma, papillary glioneuronal tumour, rosette-forming glioneurs tumour of the fourth ventricle, Papillary tumourof the pineal region, pituicytoma and spindle cell oncocytoma of the adenohypophysis.
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WHO classification of tumours of the central nervous system

TL;DR: The current edition of the WHO Classification of Tumours of the Central Nervous System will serve as an indispensable textbook for all of those involved in the diagnosis and management of patients with tumors of the CNS, and will make a valuable addition to libraries in pathology, radiology, oncology, and neurosurgery departments.
Journal ArticleDOI

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

TL;DR: The recognition that contrast enhancement is nonspecific and may not always be a true surrogate of tumor response and the need to account for the nonenhancing component of the tumor mandate that new criteria be developed and validated to permit accurate assessment of the efficacy of novel therapies.
Journal ArticleDOI

The rapid assessment of fatigue severity in cancer patients: use of the Brief Fatigue Inventory.

TL;DR: The Brief Fatigue Inventory was developed for the rapid assessment of fatigue severity for use in both clinical screening and clinical trials.
Journal ArticleDOI

When is cancer pain mild, moderate or severe? Grading pain severity by its interference with function.

TL;DR: In this paper, the authors explored the relationship between numerical ratings of pain severity and ratings of their interference with such functions as activity, mood, and sleep, and found optimal cutpoints that form 3 distinct levels of cancer pain severity that can be defined on a 0-10 point numerical scale.
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