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Lewis D, Li KL, Djoukhadar I, Hannan CJ, Pathmanaban ON, Coope DJ, King AT. Emerging strategies for the prediction of behaviour, growth, and treatment response in vestibular schwannoma. Acta Neurochir (Wien) 2025; 167:116. [PMID: 40261443 PMCID: PMC12014738 DOI: 10.1007/s00701-025-06522-7] [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: 03/14/2025] [Accepted: 04/06/2025] [Indexed: 04/24/2025]
Abstract
Vestibular schwannoma (VS) can present several management challenges for the clinician. Their unpredictable potential for growth creates uncertainty regarding when active treatment should be initiated, and once growth is confirmed which treatment option should be adopted, notably surgery or radiotherapy, and in particular stereotactic radiosurgery (SRS). The obvious benefits of SRS would ideally come with the ability to reliably predict long-term radiosurgery response/failure. Differentiation from temporary post-treatment phenomena such as transient tumour expansion or reactive swelling remains an unmet need. More powerful again would be the pre-treatment identification of which tumours will respond to radiosurgery and which will not. Over the past decade, there has been emerging interest in the development of non-invasive biomarkers, including imaging, for predicting growth and treatment response in VS. Alongside clinical radiographic predictors for VS growth such as extracanalicular tumour location and growth in the first year, studies have shown potential promise for advanced MRI and blood-based biomarkers that capture pathophysiological mechanism behind VS growth. Emerging interest in radiomics-based analyses of routinely acquired MRI, and the use of physiological imaging techniques such as dynamic-contrast enhanced MRI for pre- and post-treatment evaluation of tumour microvasculature and microstructure holds promise for revolutionizing this area. This article explores the current state of identifying VS growth at initial presentation, predicting treatment response to SRS and detecting early treatment failure, and finally the potential for developing more personalized patient selection for drug therapies, including bevacizumab, as well as emerging novel therapeutics for these tumours.
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Affiliation(s)
- Daniel Lewis
- Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
- Department of Neurosurgery, Salford Royal Hospital, Nothern Care Alliance NHS Foundation Trust, Manchester, M6 8HD, UK.
| | - Ka-Loh Li
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Ibrahim Djoukhadar
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Cathal J Hannan
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David J Coope
- Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
| | - Andrew T King
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Ehret F, Bhandarkar AR, Chisam M, Goulenko V, Kumar R, Fekrmandi F, Skalina KA, Kresl J, Lo SS, Gibbs IC, Soltys SG, Sheehan JP, Fürweger C, Slotman BJ, Shih HA, Chao ST. Stereotactic Radiosurgery for Vestibular Schwannoma - A Case-Based Practice Guide From the Radiosurgery Society. Pract Radiat Oncol 2025:S1879-8500(25)00013-X. [PMID: 39909144 DOI: 10.1016/j.prro.2025.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 01/01/2025] [Accepted: 01/05/2025] [Indexed: 02/07/2025]
Abstract
PURPOSE Vestibular schwannomas (VS) are the most common benign intracranial nerve sheath tumors. Surgery and radiation therapy - particularly stereotactic radiosurgery (SRS) - are the primary treatment options. SRS is the dominant treatment for small- and medium-sized VS and selected larger tumors due to its excellent local control rates and favorable safety profile compared with surgery. However, careful treatment planning is essential, taking into account patient preferences, tumor location and size, symptoms, and anticipated treatment-related toxicity. METHODS AND MATERIALS Four clinical VS scenarios have been selected to illustrate the use of SRS, including a unilateral small intracanalicular VS, a large VS with cystic components, reirradiation with SRS after local tumor recurrence, and bilateral VS in the setting of neurofibromatosis type 2-related schwannomatosis. RESULTS SRS is an effective and safe treatment modality for the majority of VS cases, requiring careful treatment planning and a thorough understanding of potential limitations and challenges. CONCLUSIONS This case-based practice guide aims to provide a concise overview of the treatment of VS with SRS. We present and discuss 4 different clinical scenarios of VS to highlight the pitfalls and best practice recommendations.
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Affiliation(s)
- Felix Ehret
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, a partnership between DKFZ and Charité - Universitätsmedizin Berlin, Berlin, Germany; European Radiosurgery Center Munich, Munich, Germany.
| | | | - Michael Chisam
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Victor Goulenko
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Ritesh Kumar
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Fatemeh Fekrmandi
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Karin A Skalina
- Department of Radiation Oncology, Montefiore Medical Center, Bronx, New York
| | - John Kresl
- Radiation Oncology and Radiosurgery, Phoenix CyberKnife & Radiation Oncology Center, Phoenix, Arizona
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Seattle, Washington; Department of Neurological Surgery, University of Washington and Fred Hutchinson Cancer Center, Seattle, Washington
| | - Iris C Gibbs
- Department of Radiation Oncology, Stanford University, Palo Alto, California
| | - Scott G Soltys
- Department of Radiation Oncology, Stanford University, Palo Alto, California
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | | | - Ben J Slotman
- Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Helen A Shih
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Samuel T Chao
- Department of Radiation Oncology, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio
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Pitukkitronnagorn N, Chakkabat C, Jittapiromsak N. Apparent diffusion coefficient and magnetic resonance imaging characteristics in predicting response to radiosurgery in patients with vestibular schwannomas. Neuroradiol J 2025:19714009251313509. [PMID: 39764625 PMCID: PMC11705299 DOI: 10.1177/19714009251313509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Revised: 12/07/2024] [Accepted: 12/12/2024] [Indexed: 01/11/2025] Open
Abstract
OBJECTIVE Predicting treatment response in patients with vestibular schwannomas (VSs) remains challenging. This study aimed to evaluate the use of pre-treatment normalized apparent diffusion coefficient (nADC) values and magnetic resonance (MR) imaging characteristics in predicting treatment outcomes in patients with VSs undergoing radiosurgery. METHODS The MR images of 44 patients with VSs who underwent radiosurgery at our institution were retrospectively reviewed, and the patients were categorized into tumor control (n = 28) and progression (n = 16) groups based on treatment response after treatment initiation, with a median follow-up duration of 29.5 (13-115) months. Pre-treatment nADC values for the whole tumor and solid portion of the tumor were assessed for predictive significance. MRI characteristics were analyzed, including hemorrhage status, tumor morphology, and post-treatment loss of central enhancement. Interobserver reliability was also evaluated. RESULTS Early post-treatment enlargement was associated with tumor progression (p = .024). The mean pre-treatment nADC values for the solid part of the tumor were significantly higher in the tumor control group than in tumor progression group (1.32 vs 1.05, p = .005). The receiver operating characteristic curve analysis revealed a mean nADC of 1.18 as an optimal cutoff, with sensitivity and specificity of 76.2% and 86.7%, respectively, in predicting treatment response. CONCLUSION The mean nADC values for the solid part of the tumor demonstrated predictive value for treatment response, with implications for treatment planning. Notably, early post-treatment enlargement was correlated with tumor progression. Incorporating these findings into clinical practice may refine treatment strategies for patients with VSs undergoing radiosurgery.
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Affiliation(s)
- Nattapon Pitukkitronnagorn
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Chakkapong Chakkabat
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Nutchawan Jittapiromsak
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
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Kamogawa M, Tanino S, Miyahara K, Shuto T, Matsunaga S, Okada T, Noda N, Sekiguchi N, Suzuki K, Tanaka Y, Uriu Y. Surgical and radiosurgical outcomes for Koos grade 3 vestibular schwannomas. Neurosurg Rev 2024; 47:398. [PMID: 39095539 DOI: 10.1007/s10143-024-02637-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 06/07/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024]
Abstract
This study aimed to reveal the preferred initial treatment for Koos grade 3 vestibular schwannomas (VS). We performed a two-institutional retrospective study on 21 patients with Koos grade 3 VS undergoing resection at Yokohama Medical Center and 37 patients undergoing radiosurgery at Yokohama Rosai Hospital from 2010 to 2021. Tumor control, complications, and functional preservation were compared. The median pre-treatment volume and follow-up duration were 2845 mm3 and 57.0 months, respectively, in the resection group and 2127 mm3 and 81.7 months, respectively, in the radiosurgery group. In the resection group, 16 (76.2%) underwent gross total resection, and three patients (14.3%) experienced regrowth; however, no one required additional treatment. In the radiosurgery group, the tumor control rate was 86.5%, and three cases (8.1%) required surgical resection because of symptomatic brainstem compression. Kaplan-Meier analyses revealed that tumors with delayed continuous enlargement and large thin-walled cysts were significantly associated with poor prognostic factors (p = 0.0027, p < 0.001). The pre-radiosurgery growth rate was also associated with the volume increase (p = 0.013). Two cases (9.5%) required additional operation due to complications such as post-operative hematoma and cerebrospinal fluid leaks in the resection group, whereas temporary cranial neuropathies were observed in the radiosurgery group. Two patients (9.5%) had poor facial nerve function (House-Brackmann grading grade 3) in the resection group, while no one developed facial paresis in the radiosurgery group. Trigeminal neuropathy improved only in the resection group.Radiosurgery can be considered for the treatment of Koos grade 3 VS for functional preservation. However, resection may also be considered for patients with severe trigeminal neuropathy or a high risk of volume increments, such as large thin-walled cysts and rapid pre-treatment growth.
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Affiliation(s)
- Misaki Kamogawa
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan.
| | - Shin Tanino
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Kosuke Miyahara
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Takashi Shuto
- Department of Neurosurgery, Yokohama Rosai Hospital, 3211 Kozukue-cho, Kohoku-ku, Yokohama, Kanagawa, 222-0036, Japan
| | - Shigeo Matsunaga
- Department of Neurosurgery, Yokohama Rosai Hospital, 3211 Kozukue-cho, Kohoku-ku, Yokohama, Kanagawa, 222-0036, Japan
| | - Tomu Okada
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Naoyuki Noda
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Noriaki Sekiguchi
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Koji Suzuki
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Yusuke Tanaka
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
| | - Yasuhiro Uriu
- Department of Neurosurgery, National Hospital Organization, Yokohama Medical Center, 3-60-2, Harajuku, Totsuka-ku City, Yokohama, Kanagawa, 245-8575, Japan
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Régis J, Balossier A. From the perspective of pseudo-progression rather than treatment failure, how long should we wait before considering treatment failure if large cystic enlargement occurs after Gamma Knife radiosurgery for vestibular schwannoma? Insight into pseudo-progression based on two case reports. Acta Neurochir (Wien) 2023; 165:2101-2103. [PMID: 37407853 DOI: 10.1007/s00701-023-05685-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 06/14/2023] [Indexed: 07/07/2023]
Affiliation(s)
- Jean Régis
- Aix Marseille University, Neurochirurgie Fonctionnelle & Stéréotaxique Hôpital d'adulte de la Timone, 264 Bvd St Pierre, 13385, Marseille, Cedex 05, France.
| | - Anne Balossier
- Aix Marseille University, Neurochirurgie Fonctionnelle & Stéréotaxique Hôpital d'adulte de la Timone, 264 Bvd St Pierre, 13385, Marseille, Cedex 05, France
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Ma X, Ren X, Ma F, Cai S, Ning C, Liu J, Chen X, Zhang G, Qiang J. Volumetric apparent diffusion coefficient (ADC) histogram metrics as imaging biomarkers for pretreatment predicting response to fertility-sparing treatment in patients with endometrial cancer. Gynecol Oncol 2022; 165:594-602. [PMID: 35469683 DOI: 10.1016/j.ygyno.2022.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVES To investigate the feasibility of volumetric apparent diffusion coefficient (ADC) histogram analysis for prediction of fertility-sparing treatment (FST) response in patients with endometrial cancer (EC). METHODS Pretreatment data of 54 EC patients with FST were retrospectively analyzed. Treatment response at each follow-up was pathologically evaluated. The associations of ADC histogram metrics (volume, minADC, maxADC, meanADC; 10th, 25th, 50th, 75th and 90th ADC percentiles; skewness; kurtosis) and baseline clinical characteristics with complete response (CR) at the second and third follow-ups, two-consecutive CR, and recurrence at the final follow-up were evaluated by uni- and multivariable logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used for diagnostic performance evaluation. RESULTS Compared with non-CR patients, CR patients had significantly higher minADC and 10th and 25th ADC percentiles at the second follow-up (P = 0.008, 0.039, and 0.034, respectively) and higher minADC, older age, lower HE4 level, and higher overweight rate at the third follow-up (P = 0.001, 0.040, 0.021, and 0.004, respectively). Patients with two-consecutive CR had a significantly higher minADC than those without (P = 0.018). There was no association between ADC metrics or clinical characteristics and recurrence (all P > 0.05). MinADC yielded the largest AUC in predicting CR (0.688 and 0.735 at the second and third follow-up, respectively) and the presence of two-consecutive CR (0.753). When combined with patient age and HE4 level, the prediction of CR could be further improved at the third follow-up, with an AUC of 0.786. CONCLUSION Pretreatment minADC could be a potential imaging biomarker for predicting FST response. Clinical characteristics may have incremental value to minADC in predicting CR.
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Affiliation(s)
- Xiaoliang Ma
- Department of Radiology, Jinshan Hospital, Fudan University, Longhang Road, Shanghai, People's Republic of China
| | - Xiaojun Ren
- Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Fenghua Ma
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Shulei Cai
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Chengcheng Ning
- Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Jia Liu
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Xiaojun Chen
- Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China
| | - Guofu Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shenyang Road, Shanghai, People's Republic of China.
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Longhang Road, Shanghai, People's Republic of China.
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