1
|
Voon NS, Manan HA, Yahya N. Remote assessment of cognition and quality of life following radiotherapy for nasopharyngeal carcinoma: deep-learning-based predictive models and MRI correlates. J Cancer Surviv 2024; 18:1297-1308. [PMID: 37010777 PMCID: PMC10069366 DOI: 10.1007/s11764-023-01371-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/22/2023] [Indexed: 04/04/2023]
Abstract
PURPOSE Irradiation of the brain regions from nasopharyngeal carcinoma (NPC) radiotherapy (RT) is frequently unavoidable, which may result in radiation-induced cognitive deficit. Using deep learning (DL), the study aims to develop prediction models in predicting compromised cognition in patients following NPC RT using remote assessments and determine their relation to the quality of life (QoL) and MRI changes. METHODS Seventy patients (20-76 aged) with MRI imaging (pre- and post-RT (6 months-1 year)) and complete cognitive assessments were recruited. Hippocampus, temporal lobes (TLs), and cerebellum were delineated and dosimetry parameters were extracted. Assessments were given post-RT via telephone (Telephone Interview Cognitive Status (TICS), Telephone Montreal Cognitive Assessment (T-MoCA), Telephone Mini Addenbrooke's Cognitive Examination (Tele-MACE), and QLQ-H&N 43). Regression and deep neural network (DNN) models were used to predict post-RT cognition using anatomical and treatment dose features. RESULTS Remote cognitive assessments were inter-correlated (r > 0.9). TLs showed significance in pre- and post-RT volume differences and cognitive deficits, that are correlated with RT-associated volume atrophy and dose distribution. Good classification accuracy based on DNN area under receiver operating curve (AUROC) for cognitive prediction (T-MoCA AUROC = 0.878, TICS AUROC = 0.89, Tele-MACE AUROC = 0.919). CONCLUSION DL-based prediction models assessed using remote assessments can assist in predicting cognitive deficit following NPC RT. Comparable results of remote assessments in assessing cognition suggest its possibility in replacing standard assessments. IMPLICATIONS FOR CANCER SURVIVORS Application of prediction models in individual patient enables tailored interventions to be provided in managing cognitive changes following NPC RT.
Collapse
Affiliation(s)
- Noor Shatirah Voon
- Diagnostic Imaging and Radiotherapy, Centre for Diagnostic, Therapeutic and Investigative Sciences (CODTIS), Faculty of Health Sciences, National University of Malaysia, Jalan Raja Muda Aziz, 50300, Kuala Lumpur, Malaysia
- National Cancer Institute, Ministry of Health, Jalan P7, Presint 7, 62250, Putrajaya, Malaysia
| | - Hanani Abdul Manan
- Functional Image Processing Laboratory, Department of Radiology, Universiti Kebangsaan Malaysia Medical Centre, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Noorazrul Yahya
- Diagnostic Imaging and Radiotherapy, Centre for Diagnostic, Therapeutic and Investigative Sciences (CODTIS), Faculty of Health Sciences, National University of Malaysia, Jalan Raja Muda Aziz, 50300, Kuala Lumpur, Malaysia.
| |
Collapse
|
2
|
Röttgering JG, Taylor JW, Brie M, Luks T, Hervey-Jumper SL, Phan S, Bracci PM, Smith E, De Witt Hamer PC, Douw L, Weyer-Jamora C, Klein M. Understanding the association between fatigue and neurocognitive functioning in patients with glioma: A cross-sectional multinational study. Neurooncol Pract 2024; 11:284-295. [PMID: 38737609 PMCID: PMC11085845 DOI: 10.1093/nop/npae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
Background Fatigue and neurocognitive impairment are highly prevalent in patients with glioma, significantly impacting health-related quality of life. Despite the presumed association between these two factors, evidence remains sparse. Therefore, we aimed to investigate this relationship using multinational data. Methods We analyzed data on self-reported fatigue and neurocognitive outcomes from postoperative patients with glioma from the University of California San Francisco (n = 100, UCSF) and Amsterdam University Medical Center (n = 127, Amsterdam UMC). We used multiple linear regression models to assess associations between fatigue and seven (sub)domains of neurocognitive functioning and latent profile analysis to identify distinct patterns of fatigue and neurocognitive functioning. Results UCSF patients were older (median age 49 vs. 43 years, P = .002), had a higher proportion of grade 4 tumors (32% vs. 18%, P = .03), and had more neurocognitive deficits (P = .01). While the number of clinically fatigued patients was similar between sites (64% vs. 58%, P = .12), fatigue and the number of impaired neurocognitive domains were not correlated (P = .16-.72). At UCSF, neurocognitive domains were not related to fatigue, and at Amsterdam UMC attention and semantic fluency explained only 4-7% of variance in fatigue. Across institutions, we identified four distinct patterns of neurocognitive functioning, which were not consistently associated with fatigue. Conclusions Although individual patients might experience both fatigue and neurocognitive impairment, the relationship between the two is weak. Consequently, both fatigue and neurocognitive functioning should be independently assessed and treated with targeted therapies.
Collapse
Affiliation(s)
- Jantine G Röttgering
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Psychology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, The Netherlands
| | - Jennie W Taylor
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Melissa Brie
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Psychiatry, Zuckerberg San Francisco General Hospital, California, USA
| | - Tracy Luks
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Stephanie Phan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Ellen Smith
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Philip C De Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, The Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, Neurosurgery, Amsterdam, The Netherlands
| | - Linda Douw
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, The Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Amsterdam, The Netherlands
| | - Christina Weyer-Jamora
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Psychiatry, Zuckerberg San Francisco General Hospital, California, USA
| | - Martin Klein
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Psychology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, The Netherlands
| |
Collapse
|
3
|
Soffietti R, Pellerino A, Bruno F, Mauro A, Rudà R. Neurotoxicity from Old and New Radiation Treatments for Brain Tumors. Int J Mol Sci 2023; 24:10669. [PMID: 37445846 DOI: 10.3390/ijms241310669] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Research regarding the mechanisms of brain damage following radiation treatments for brain tumors has increased over the years, thus providing a deeper insight into the pathobiological mechanisms and suggesting new approaches to minimize this damage. This review has discussed the different factors that are known to influence the risk of damage to the brain (mainly cognitive disturbances) from radiation. These include patient and tumor characteristics, the use of whole-brain radiotherapy versus particle therapy (protons, carbon ions), and stereotactic radiotherapy in various modalities. Additionally, biological mechanisms behind neuroprotection have been elucidated.
Collapse
Affiliation(s)
- Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessia Pellerino
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessandro Mauro
- Department of Neuroscience "Rita Levi Montalcini", University of Turin and City of Health and Science University Hospital, 10126 Turin, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Division of Neurology and Neuro-Rehabilitation, San Giuseppe Hospital, 28824 Piancavallo, Italy
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| |
Collapse
|
4
|
Tohidinezhad F, Di Perri D, Zegers CML, Dijkstra J, Anten M, Dekker A, Van Elmpt W, Eekers DBP, Traverso A. Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review. Front Psychol 2022; 13:853472. [PMID: 35432113 PMCID: PMC9009149 DOI: 10.3389/fpsyg.2022.853472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/07/2022] [Indexed: 12/25/2022] Open
Abstract
Purpose Although an increasing body of literature suggests a relationship between brain irradiation and deterioration of neurocognitive function, it remains as the standard therapeutic and prophylactic modality in patients with brain tumors. This review was aimed to abstract and evaluate the prediction models for radiation-induced neurocognitive decline in patients with primary or secondary brain tumors. Methods MEDLINE was searched on October 31, 2021 for publications containing relevant truncation and MeSH terms related to “radiotherapy,” “brain,” “prediction model,” and “neurocognitive impairments.” Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool. Results Of 3,580 studies reviewed, 23 prediction models were identified. Age, tumor location, education level, baseline neurocognitive score, and radiation dose to the hippocampus were the most common predictors in the models. The Hopkins verbal learning (n = 7) and the trail making tests (n = 4) were the most frequent outcome assessment tools. All studies used regression (n = 14 linear, n = 8 logistic, and n = 4 Cox) as machine learning method. All models were judged to have a high risk of bias mainly due to issues in the analysis. Conclusion Existing models have limited quality and are at high risk of bias. Following recommendations are outlined in this review to improve future models: developing cognitive assessment instruments taking into account the peculiar traits of the different brain tumors and radiation modalities; adherence to model development and validation guidelines; careful choice of candidate predictors according to the literature and domain expert consensus; and considering radiation dose to brain substructures as they can provide important information on specific neurocognitive impairments.
Collapse
Affiliation(s)
- Fariba Tohidinezhad
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Dario Di Perri
- Department of Radiation Oncology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Catharina M L Zegers
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Jeanette Dijkstra
- Department of Medical Psychology, School for Mental Health and Neurosciences (MHeNS), Maastricht University Medical Center, Maastricht, Netherlands
| | - Monique Anten
- Department of Neurology, School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, Netherlands
| | - Andre Dekker
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Wouter Van Elmpt
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Alberto Traverso
- Department of Radiation Oncology (Maastro Clinic), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| |
Collapse
|
5
|
Noll K, King AL, Dirven L, Armstrong TS, Taphoorn MJB, Wefel JS. Neurocognition and Health-Related Quality of Life Among Patients with Brain Tumors. Hematol Oncol Clin North Am 2021; 36:269-282. [PMID: 34711455 DOI: 10.1016/j.hoc.2021.08.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Patients with brain tumors experience great symptom burden across various domains of functioning, with associated decreases in health-related quality of life and general well-being. Impaired neurocognitive functioning is among the primary concerns of these patients. Unfortunately, most patients will experience such impairment at some point in the disease. However, impaired neurocognitive functioning, symptom burden, and well-being vary according numerous patient-, tumor-, and treatment-related factors. Recent work has furthered our understanding of these contributors to patient functioning and health-related quality of life and also points to various potential targets for prevention and intervention strategies, though more efficacious treatments remain needed.
Collapse
Affiliation(s)
- Kyle Noll
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 431, Houston, TX 77030, USA
| | - Amanda L King
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Road, Building 82, Room 214, Bethesda, MD 20892, USA
| | - Linda Dirven
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, the Netherlands; Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, the Netherlands
| | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Building 82, Room 201, Bethesda, MD 20892, USA
| | - Martin J B Taphoorn
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, the Netherlands; Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, the Netherlands
| | - Jeffrey S Wefel
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 431, Houston, TX 77030, USA; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 431, Houston, TX 77030, USA.
| |
Collapse
|
6
|
Impaired neurocognitive function in glioma patients: from pathophysiology to novel intervention strategies. Curr Opin Neurol 2020; 33:716-722. [PMID: 33009006 DOI: 10.1097/wco.0000000000000865] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW This review succinctly summarizes the recent literature regarding etiological contributors to impaired neurocognitive function (NCF) in adult patients with glioma. A brief overview of intervention and prevention strategies is also provided. RECENT FINDINGS A majority of patients with glioma exhibit NCF deficits, most frequently in memory and executive functioning. Impairments are often disabling and associated with reduced quality of life and survival. Cause is multifactorial and includes the tumour itself, treatments received and associated comorbidities. Although modern techniques such as brain mapping, dosing modifications and prophylactic medication aim to improve the NCF outcomes following neurosurgical resection and radiation therapy, a sizeable proportion of patients continue to evidence treatment-related NCF declines related to adverse effects to both local and distributed cerebral networks. Numerous patient and tumour characteristics, including genetic markers and sociodemographic factors, influence the pattern and severity of NCF impairment. Some rehabilitative and pharmacologic approaches show promise in mitigating NCF impairment in this population, though benefits are somewhat modest and larger scale intervention studies are needed. SUMMARY Research regarding NCF in patients with glioma has dramatically proliferated, providing insights into the mechanisms underlying impaired NCF and pointing to potential interventions, though further work is needed.
Collapse
|