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  1. Article ; Online: Functional Outcomes and Health-Related Quality of Life Following Glioma Surgery.

    De Witt Hamer, Philip C / De Witt Hamer, Philip C / Klein, Martin / Hervey-Jumper, Shawn L / Wefel, Jeffrey S / Berger, Mitchel S

    Neurosurgery

    2021  Volume 88, Issue 4, Page(s) 720–732

    Abstract: Functional outcome following glioma surgery is defined as how the patient functions or feels. Functional outcome is a coprimary end point of surgery in patients with diffuse glioma, together with oncological outcome. In this review, we structure the ... ...

    Abstract Functional outcome following glioma surgery is defined as how the patient functions or feels. Functional outcome is a coprimary end point of surgery in patients with diffuse glioma, together with oncological outcome. In this review, we structure the functional outcome measurements following glioma surgery as reported in the last 5 yr. We review various perspectives on functional outcome of glioma surgery with available measures, and offer suggestions for their use. From the recent neurosurgical literature, 160 publications were retrieved fulfilling the selection criteria. In these publications, neurological outcomes were reported most often, followed by activities of daily living, seizure outcomes, neurocognitive outcomes, and health-related quality of life or well-being. In more than a quarter of these publications functional outcome was not reported. A minimum essential consensus set of functional outcome measurements would benefit comparison across neurosurgical reports. The consensus set should be based on a combination of clinician- and patient-reported outcomes, assessed at a predefined time before and after surgery. The selected measurements should have psychometric properties supporting the intended use including validity-related evidence, reliability, and sensitivity to detect meaningful change with minimal burden to ensure compliance. We circulate a short survey as a start towards reporting guidelines. Many questions remain to better understand, report, and improve functional outcome following glioma surgery.
    MeSH term(s) Activities of Daily Living/psychology ; Brain Neoplasms/psychology ; Brain Neoplasms/surgery ; Glioma/psychology ; Glioma/surgery ; Humans ; Patient Reported Outcome Measures ; Quality of Life/psychology ; Recovery of Function/physiology ; Reproducibility of Results ; Treatment Outcome
    Language English
    Publishing date 2021-01-30
    Publishing country United States
    Document type Journal Article ; Systematic Review
    ZDB-ID 135446-2
    ISSN 1524-4040 ; 0148-396X
    ISSN (online) 1524-4040
    ISSN 0148-396X
    DOI 10.1093/neuros/nyaa365
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Is assessment of skeletal muscle mass useful to predict time-to-awake in awake craniotomies?

    Lai, Yen-Mie / van Heusden, Hugo C / de Graaf, Pim / van den Brom, Charissa E / De Witt Hamer, Philip C / Schober, Patrick

    Medicine

    2023  Volume 102, Issue 47, Page(s) e36120

    Abstract: Awake craniotomy is the gold standard for the resection of brain lesions near eloquent areas. For the commonly used asleep-awake-asleep technique, the patient must be awake and fully cooperative as soon as possible after discontinuation of anesthetics. A ...

    Abstract Awake craniotomy is the gold standard for the resection of brain lesions near eloquent areas. For the commonly used asleep-awake-asleep technique, the patient must be awake and fully cooperative as soon as possible after discontinuation of anesthetics. A shorter emergence time is essential to decrease the likelihood of adverse events. Previous research found no relationship between body mass index (BMI) and time-to-awake for intravenous anesthesia with propofol, which is a lipophilic agent. As BMI cannot differentiate between fat and muscle tissue, we hypothesize that skeletal muscle mass, particularly when combined with BMI, may better predict time-to-awake from propofol sedation. We aimed to evaluate the relationship between skeletal muscle mass and the time-to-awake in patients undergoing awake craniotomy, as well as the interaction between skeletal muscle mass and BMI. In 260 patients undergoing an awake craniotomy, we used preoperative magnetic resonance imaging to assess temporalis muscle and cross-sectional skeletal muscle area of the masseter muscles and at level of the third cervical vertebra. Time-to-awake was dichotomized as ≤20 and >20 minutes. No association between various measures of skeletal muscle mass and time-to-awake was observed, and no interaction between skeletal muscle mass and BMI was found (all P > .05). Likewise, patients with a high BMI and low skeletal muscle mass (indicating an increased proportion of fat tissue) did not have a prolonged time-to-awake. Skeletal muscle mass did not predict time-to-awake in patients undergoing awake craniotomy, neither in isolation nor in combination with a high BMI.
    MeSH term(s) Humans ; Propofol ; Wakefulness ; Cross-Sectional Studies ; Craniotomy/methods ; Anesthesia ; Brain Neoplasms/surgery
    Chemical Substances Propofol (YI7VU623SF)
    Language English
    Publishing date 2023-11-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000036120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: State-of-the-art imaging for glioma surgery.

    Verburg, Niels / de Witt Hamer, Philip C

    Neurosurgical review

    2020  Volume 44, Issue 3, Page(s) 1331–1343

    Abstract: Diffuse gliomas are infiltrative primary brain tumors with a poor prognosis despite multimodal treatment. Maximum safe resection is recommended whenever feasible. The extent of resection (EOR) is positively correlated with survival. Identification of ... ...

    Abstract Diffuse gliomas are infiltrative primary brain tumors with a poor prognosis despite multimodal treatment. Maximum safe resection is recommended whenever feasible. The extent of resection (EOR) is positively correlated with survival. Identification of glioma tissue during surgery is difficult due to its diffuse nature. Therefore, glioma resection is imaging-guided, making the choice for imaging technique an important aspect of glioma surgery. The current standard for resection guidance in non-enhancing gliomas is T2 weighted or T2w-fluid attenuation inversion recovery magnetic resonance imaging (MRI), and in enhancing gliomas T1-weighted MRI with a gadolinium-based contrast agent. Other MRI sequences, like magnetic resonance spectroscopy, imaging modalities, such as positron emission tomography, as well as intraoperative imaging techniques, including the use of fluorescence, are also available for the guidance of glioma resection. The neurosurgeon's goal is to find the balance between maximizing the EOR and preserving brain functions since surgery-induced neurological deficits result in lower quality of life and shortened survival. This requires localization of important brain functions and white matter tracts to aid the pre-operative planning and surgical decision-making. Visualization of brain functions and white matter tracts is possible with functional MRI, diffusion tensor imaging, magnetoencephalography, and navigated transcranial magnetic stimulation. In this review, we discuss the current available imaging techniques for the guidance of glioma resection and the localization of brain functions and white matter tracts.
    MeSH term(s) Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/metabolism ; Brain Neoplasms/surgery ; Diffusion Tensor Imaging/methods ; Glioma/diagnostic imaging ; Glioma/metabolism ; Glioma/surgery ; Humans ; Intraoperative Neurophysiological Monitoring/methods ; Magnetic Resonance Imaging/methods ; Magnetic Resonance Spectroscopy/methods ; Neurosurgical Procedures/methods ; Positron-Emission Tomography/methods ; Preoperative Care/methods
    Language English
    Publishing date 2020-06-30
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 6907-3
    ISSN 1437-2320 ; 0344-5607
    ISSN (online) 1437-2320
    ISSN 0344-5607
    DOI 10.1007/s10143-020-01337-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: In Reply: Functional Outcomes and Health-Related Quality of Life Following Glioma Surgery.

    De Witt Hamer, Philip C / Klein, Martin / Hervey-Jumper, Shawn L / Wefel, Jeffrey S / Berger, Mitchel S

    Neurosurgery

    2021  Volume 89, Issue 3, Page(s) E189

    MeSH term(s) Brain Neoplasms/surgery ; Glioma/surgery ; Humans ; Quality of Life
    Language English
    Publishing date 2021-06-12
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 135446-2
    ISSN 1524-4040 ; 0148-396X
    ISSN (online) 1524-4040
    ISSN 0148-396X
    DOI 10.1093/neuros/nyab218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning.

    Blokker, Max / Hamer, Philip C de Witt / Wesseling, Pieter / Groot, Marie Louise / Veta, Mitko

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 11334

    Abstract: Management of gliomas requires an invasive treatment strategy, including extensive surgical resection. The objective of the neurosurgeon is to maximize tumor removal while preserving healthy brain tissue. However, the lack of a clear tumor boundary ... ...

    Abstract Management of gliomas requires an invasive treatment strategy, including extensive surgical resection. The objective of the neurosurgeon is to maximize tumor removal while preserving healthy brain tissue. However, the lack of a clear tumor boundary hampers the neurosurgeon's ability to accurately detect and resect infiltrating tumor tissue. Nonlinear multiphoton microscopy, in particular higher harmonic generation, enables label-free imaging of excised brain tissue, revealing histological hallmarks within seconds. Here, we demonstrate a real-time deep learning-based pipeline for automated glioma image analysis, matching video-rate image acquisition. We used a custom noise detection scheme, and a fully-convolutional classification network, to achieve on average 79% binary accuracy, 0.77 AUC and 0.83 mean average precision compared to the consensus of three pathologists, on a preliminary dataset. We conclude that the combination of real-time imaging and image analysis shows great potential for intraoperative assessment of brain tissue during tumor surgery.
    MeSH term(s) Deep Learning ; Glioma/diagnostic imaging ; Glioma/pathology ; Glioma/surgery ; Humans ; Image Processing, Computer-Assisted/methods ; Microscopy ; Second Harmonic Generation Microscopy
    Language English
    Publishing date 2022-07-05
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-15423-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Toward unraveling the correlates of fatigue in glioma.

    Röttgering, Jantine G / Belgers, Vera / De Witt Hamer, Philip C / Knoop, Hans / Douw, Linda / Klein, Martin

    Neuro-oncology advances

    2022  Volume 4, Issue 1, Page(s) vdac169

    Abstract: Background: Even though fatigue is one of the most prevalent and burdensome symptoms in patients with glioma, its etiology and determinants are still poorly understood. We aimed to identify which demographic, tumor- and treatment-related characteristics ...

    Abstract Background: Even though fatigue is one of the most prevalent and burdensome symptoms in patients with glioma, its etiology and determinants are still poorly understood. We aimed to identify which demographic, tumor- and treatment-related characteristics and patient-reported outcome measures (PROMs) are associated with or are predictors of fatigue in glioma.
    Methods: In this retrospective observational study, we included glioma patients with preoperative and postoperative assessments including PROMs on fatigue, depression, cognitive functioning, and health-related quality of life (HRQoL). Linear mixed models were used to identify which clinical factors and PROMs were associated with fatigue and linear multiple regression was used to detect predictors of postoperative fatigue.
    Results: In this study, 222 patients were included (78% grade II-III glioma, 22% grade IV). These patients had performed 333 assessments (193 preoperative and 116 one year postoperatively). Of all assessments, 39% was indicative of severe fatigue. Several HRQoL domains, depression, and right-sided tumors were significantly associated with fatigue (marginal
    Conclusion: Fatigue is a complex symptom, which should not solely be attributed to the tumor or its treatment, but is instead related to different aspects of mood and HRQoL. These insights are important in understanding fatigue and could guide symptom management, especially in patients with lower-grade tumors.
    Language English
    Publishing date 2022-10-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 3009682-0
    ISSN 2632-2498 ; 2632-2498
    ISSN (online) 2632-2498
    ISSN 2632-2498
    DOI 10.1093/noajnl/vdac169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The patients' experience of neuroimaging of primary brain tumors: a cross-sectional survey study.

    Wamelink, Ivar J H G / Hempel, Hugo L / van de Giessen, Elsmarieke / Vries, Mark H M / De Witt Hamer, Philip / Barkhof, Frederik / Keil, Vera C

    Journal of neuro-oncology

    2023  Volume 162, Issue 2, Page(s) 307–315

    Abstract: Purpose: To gain insight into how patients with primary brain tumors experience MRI, follow-up protocols, and gadolinium-based contrast agent (GBCA) use.: Methods: Primary brain tumor patients answered a survey after their MRI exam. Questions were ... ...

    Abstract Purpose: To gain insight into how patients with primary brain tumors experience MRI, follow-up protocols, and gadolinium-based contrast agent (GBCA) use.
    Methods: Primary brain tumor patients answered a survey after their MRI exam. Questions were analyzed to determine trends in patients' experience regarding the scan itself, follow-up frequency, and the use of GBCAs. Subgroup analysis was performed on sex, lesion grade, age, and the number of scans. Subgroup comparison was made using the Pearson chi-square test and the Mann-Whitney U-test for categorical and ordinal questions, respectively.
    Results: Of the 100 patients, 93 had a histopathologically confirmed diagnosis, and seven were considered to have a slow-growing low-grade tumor after multidisciplinary assessment and follow-up. 61/100 patients were male, with a mean age ± standard deviation of 44 ± 14 years and 46 ± 13 years for the females. Fifty-nine patients had low-grade tumors. Patients consistently underestimated the number of their previous scans. 92% of primary brain tumor patients did not experience the MRI as bothering and 78% would not change the number of follow-up MRIs. 63% of the patients would prefer GBCA-free MRI scans if diagnostically equally accurate. Women found the MRI and receiving intravenous cannulas significantly more uncomfortable than men (p = 0.003). Age, diagnosis, and the number of previous scans had no relevant impact on the patient experience.
    Conclusion: Patients with primary brain tumors experienced current neuro-oncological MRI practice as positive. Especially women would, however, prefer GBCA-free imaging if diagnostically equally accurate. Patient knowledge of GBCAs was limited, indicating improvable patient information.
    MeSH term(s) Humans ; Male ; Female ; Cross-Sectional Studies ; Gadolinium ; Contrast Media ; Magnetic Resonance Imaging/methods ; Neuroimaging ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Retrospective Studies ; Brain/pathology
    Chemical Substances Gadolinium (AU0V1LM3JT) ; Contrast Media
    Language English
    Publishing date 2023-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604875-4
    ISSN 1573-7373 ; 0167-594X
    ISSN (online) 1573-7373
    ISSN 0167-594X
    DOI 10.1007/s11060-023-04290-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Frequency and burden of potentially treatable symptoms in glioma patients with stable disease.

    Röttgering, Jantine G / Belgers, Vera / Kouwenhoven, Mathilde C M / Schuur, Maaike / Postma, Tjeerd J / Nijboer, Claudia M / van Linde, Myra E / de Witt Hamer, Philip C / Douw, Linda / Klein, Martin

    Heliyon

    2023  Volume 9, Issue 2, Page(s) e13278

    Abstract: Background & aims: Glioma patients experience a multitude of symptoms that negatively affect their health-related quality of life. Symptoms vary greatly across disease phases, and the patients' stable phase might be particularly suitable for assessing ... ...

    Abstract Background & aims: Glioma patients experience a multitude of symptoms that negatively affect their health-related quality of life. Symptoms vary greatly across disease phases, and the patients' stable phase might be particularly suitable for assessing and treating symptoms. Identifying symptoms and patients' needs is a first step toward improving patient care. In glioma patients with stable disease, we assessed the frequency and burden of patient-reported symptoms, examined how these symptoms co-occur, and also determined whether patients would consider treatment to ameliorate specific symptoms.
    Methods: In this retrospective study, patients rated the frequency and burden of seventeen symptoms on a seven-point Likert scale and stated whether they would consider treatment for these symptoms. Correlations between frequency, burden, and considering treatment were evaluated with Kendall's Tau correlation coefficients. Based on partial correlations between symptom frequencies we visualized the symptoms as a network.
    Results: Fifty-two glioma patients with stable disease were included (31 WHO grade II/III, 21 WHO grade IV). The top five symptoms were fatigue, memory problems, reduced physical fitness, concentration problems, and drowsiness. Fatigue had the highest median frequency (4.5, interquartile range 2.5). Over half of the patients experienced three or more symptoms simultaneously and associations between all symptoms were depicted as a network. Overall, 35% of patients would consider treatment for at least one symptom. The wish to undergo symptom treatment correlated only moderately with symptom frequency and burden (range of correlations 0.24-0.57 and 0.28-0.61, respectively).
    Conclusion: Glioma patients with stable disease experience multiple symptoms with a consequently high symptom burden. Despite the high prevalence of symptoms, the inclination for symptom management interventions was relatively low. The most frequent and burdensome symptoms and the way they are interrelated could serve as a roadmap for future research on symptom management in these patients.
    Language English
    Publishing date 2023-01-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e13278
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Brain Access of Monoclonal Antibodies as Imaged and Quantified by

    Veldhuijzen van Zanten, Sophie E M / De Witt Hamer, Philip C / van Dongen, Guus A M S

    Journal of nuclear medicine : official publication, Society of Nuclear Medicine

    2019  Volume 60, Issue 5, Page(s) 615–616

    MeSH term(s) Antibodies, Monoclonal/metabolism ; Antibodies, Monoclonal/therapeutic use ; Brain/diagnostic imaging ; Brain/metabolism ; Brain/radiation effects ; Brain Diseases/diagnostic imaging ; Brain Diseases/radiotherapy ; Humans ; Radioisotopes/therapeutic use ; Zirconium/therapeutic use
    Chemical Substances Antibodies, Monoclonal ; Radioisotopes ; Zirconium (C6V6S92N3C) ; Zirconium-89 (NTM296JU95)
    Language English
    Publishing date 2019-02-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80272-4
    ISSN 1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
    ISSN (online) 1535-5667
    ISSN 0097-9058 ; 0161-5505 ; 0022-3123
    DOI 10.2967/jnumed.118.220939
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The longitudinal relation between executive functioning and multilayer network topology in glioma patients.

    van Lingen, Marike R / Breedt, Lucas C / Geurts, Jeroen J G / Hillebrand, Arjan / Klein, Martin / Kouwenhoven, Mathilde C M / Kulik, Shanna D / Reijneveld, Jaap C / Stam, Cornelis J / De Witt Hamer, Philip C / Zimmermann, Mona L M / Santos, Fernando A N / Douw, Linda

    Brain imaging and behavior

    2023  Volume 17, Issue 4, Page(s) 425–435

    Abstract: Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration ...

    Abstract Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration across multiple frequencies, relates to and predicts executive functioning in glioma. Patients with glioma (n = 37) underwent resting-state magnetoencephalography and neuropsychological tests assessing word fluency, inhibition, and set shifting before (T1) and one year after tumor resection (T2). We constructed binary multilayer networks comprising six layers, with each layer representing frequency-specific functional connectivity between source-localized time series of 78 cortical regions. Average frontoparietal network multilayer eigenvector centrality, a measure for network integration, was calculated at both time points. Regression analyses were used to investigate associations with executive functioning. At T1, lower multilayer integration (p = 0.017) and epilepsy (p = 0.006) associated with poorer set shifting (adj. R
    MeSH term(s) Humans ; Cross-Sectional Studies ; Magnetic Resonance Imaging/methods ; Cognitive Dysfunction ; Glioma/pathology ; Executive Function
    Language English
    Publishing date 2023-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2377165-3
    ISSN 1931-7565 ; 1931-7557
    ISSN (online) 1931-7565
    ISSN 1931-7557
    DOI 10.1007/s11682-023-00770-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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