Flyer

Archives in Cancer Research

  • ISSN: 2254-6081
  • Journal h-index: 14
  • Journal CiteScore: 3.77
  • Journal Impact Factor: 4.09
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • OCLC- WorldCat
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • Google Scholar
  • J-Gate
  • Secret Search Engine Labs
  • International Committee of Medical Journal Editors (ICMJE)
  • Zenodo
Share This Page

Research Article - (2019) Volume 7, Issue 1

Evaluation of Target Definition for Stereotactic Reirradiation of Recurrent Glioblastoma

Beyzadeoglu M, Sager O*, Dincoglan F and Demiral S

Medical Faculty, Department of Radiation Oncology, University of Health Sciences, Ankara, Turkey

Corresponding Author:

Sager O
Medical Faculty, Department of Radiation Oncology, University of Health Sciences, Ankara, Turkey.
Tel: +90 312 304 4683
E-mail: omersager@gmail.com

Received: January 01, 2019; Accepted: February 15, 2019; Published: February 25, 2019

Citation: Beyzadeoglu M, Sager O, Dincoglan F, Demiral S (2019) Evaluation of Target Definition for Stereotactic Reirradiation of Recurrent Glioblastoma. Arch Cancer Res Vol.7 No.1:3. DOI: 10.21767/2254-6081.100192.

Visit for more related articles at Archives in Cancer Research

Abstract

Background and purpose: Glioblastoma multiforme (GBM) constitute the most prevalent brain tumor in adults. The prognosis of GBM is typically bleak, with eventual recurrence in an overwhelming majority of the patients despite multimodality management including surgery, radiation therapy (RT), and systemic treatment. Vast majority of patients develop recurrence within or in close vicinity of the initial RT field, which limits the reirradiation dose to be delivered for recurrent tumor. Accurate target definition is critical for stereotactic reirradiation of recurrent glioblastoma. Multimodality imaging with computed tomography (CT), magnetic resonance imaging (MRI) and molecular imaging techniques may be used for detection of recurrence. In this study, we assessed the utility of multimodality imaging in target volume determination for stereotactic reirradiation of recurrent glioblastoma.

Patients and methods: Sixteen patients receiving radiosurgery at our institution for recurrent glioblastoma were identified for comparative evaluation of target definition based on CT imaging only and CT-MR fusion based imaging.

Results: CT-only imaging and CT-MR fusion based imaging for radiosurgery target definition was comparatively evaluated for 16 patients treated with radiosurgery at our institution for recurrent glioblastoma. Comparative assessment revealed that target definition based on CT-MR fusion based imaging was optimal and identical to the consensus decision of treating physicians in majority of the treated patients.

Conclusion: Incorporation of MRI may improve target definition for recurrent glioblastoma radiosurgery despite the need for further supporting evidence.

Keywords

Recurrent glioblastoma; Radiosurgery; Target volume; Magnetic Resonance Imaging (MRI)

Introduction

Glioblastoma multiforme (GBM) constitutes the most prevalent brain tumor in the adult population [1,2]. The prognosis of GBM is typically bleak, with eventual recurrence in an overwhelming majority of the patients despite multimodality management including surgery, radiation therapy (RT), and systemic treatment. In the setting of recurrence, repeated surgery, reirradiation, systemic agents, or a combined modality treatment may be selected for individualized management of the patients based on several factors including age, performance status, time from diagnosis, response to previous therapies, size and location of the recurrent tumor, and availability of treatment resources. Considering the performance status, best supportive care may also be an option for selected patients.

While the role of RT has been well established in management of newly diagnosed patients with glioblastoma, its utility in the setting of recurrence is still being refined. Vast majority of patients develop recurrence within or in close vicinity of the initial RT field, which limits the reirradiation dose to be delivered for recurrent tumor [3,4]. Stereotactic irradiation in the form of stereotactic radiosurgery (SRS), fractionated stereotactic radiotherapy (FSRT), hypofractionated stereotactic radiotherapy (HFSRT), and stereotactic body radiation therapy (SBRT) has been used for management of several benign or malignant conditions throughout the body with encouraging therapeutic outcomes [5- 21]. Primary advantage of stereotactic irradiation is the ability to deliver high doses to the well-defined tumors with typically steep dose gradients around the target volume which may improve normal tissue sparing. However, limited margins are used to expand the defined targets on radiosurgery planning images to account for sub-microscopic spread, and rigid immobilization with a stereotactic head frame and image guidance is typically used for elimination of setup margins. In this regard, accurate target definition is critical for stereotactic reirradiation of recurrent glioblastoma. Multimodality imaging with computed tomography (CT), magnetic resonance imaging (MRI), and molecular imaging techniques may be used for detection of recurrence. In this study, we assessed the utility of multimodality imaging in target volume determination for stereotactic reirradiation of recurrent glioblastoma.

Patients and Methods

Sixteen patients receiving radiosurgery at our institution for recurrent glioblastoma were identified for comparative evaluation of target definition based on CT-only imaging and CT-MR fusion based imaging. Written informed consent was obtained for each patient before treatment. Treatment with radiosurgery was decided by a multidisciplinary team of experts from neurosurgery, radiation oncology, and neuroradiology. Contrast-enhanced planning CT images were acquired at CT simulator (GE Lightspeed RT, GE Healthcare, Chalfont St. Giles, UK) with immobilization of patients using a stereotactic head frame. Acquired images at CT simulation were sent to the contouring workstation (SimMD, GE, UK) for delineation of target volume and critical structures in intimate association with the recurrent glioblastoma lesion. Target volumes acquired from CT-only based imaging and CTMR fusion based imaging were comparatively evaluated for each patient. Definition of ground truth target volume for all patients was decided after consensus, colleague peer review and collaboration of the treating physicians. Radiosurgery planning system was ERGO ++ (CMS, Elekta, UK) and treatment machine was Synergy (Elekta, UK) Linear Accelerator (LINAC).

Optimal target coverage and normal tissue sparing was provided by using a single 360-degree arc, double 360-degree arcs, or five 180-degree arcs along with the Arc Modulation Optimization Algorithm (AMOA) in radiosurgery treatment planning. An adjustment was made in the windows and levels of the planning CT simulation images to attain improved target and critical organ visualization. Axial, coronal and sagittal images were used for optimal contouring of the target and critical organs. Verification of isocenters and setup was performed under image guidance with kV-CBCT (kilovoltage Cone Beam CT) and XVI (X-ray Volumetric Imaging, Elekta, UK) system. All patients received intravenous dexamethasone with H2-antihistamines immediately after radiosurgery.

Results

CT-only imaging and CT-MR fusion based imaging for radiosurgery target definition was comparatively evaluated for 16 patients treated with radiosurgery at our institution for recurrent glioblastoma. Comparative assessment revealed that target definition based on CT-MR fusion based imaging was optimal and identical to the consensus decision of treating physicians in majority of the treated patients. Figure 1 shows axial planning CT and MR images of a patient with recurrent glioblastoma.

Archives-Cancer-Research-glioblastoma-demonstrating

Figure 1 Axial planning CT and MR images of a patient with recurrent glioblastoma demonstrating the delineated target volume and critical structures including the brainstem and optic apparatus.

Discussion

Glioblastoma remains to be a major health concern as the most common primary brain tumor in adults. Prognosis is poor even after combined modality management including maximal surgery, RT, and systemic treatments. Newer treatment approaches for glial tumors include immunotherapy and intensified management with several combinations of available therapies [22-26]. Despite all efforts, recurrence is almost inevitable in an overwhelming majority of the patients. Establishing standard management in the recurrent disease setting is complicated by several factors including limited RT dose tolerance due to initially administered RT doses and poor performance status of the patients due to previous treatments and aggressive tumor progression. Nevertheless, radiosurgery offers a non-invasive and viable therapeutic option as an outpatient procedure with a condensed treatment schedule. High dose gradients around the target allow for delivering high doses of radiation in one or a few treatment fractions. However, accurate target definition is an indespensable component of successful radiosurgery applications. In this context, multimodality imaging has been utilized for improving target definition accuracy for stereotactic reirradiation. Utility of MRI for high grade gliomas has been addressed in a comprehensive review [27]. MRI has been used for several purposes including lesion characterization, radiation treatment planning, evaluation of response to therapy, assessment of recurrence and adverse radiation effects [27]. In the context of target definition for stereotactic reirradiation of recurrent glioblastoma, MRI may provide valuable information for improving accuracy in target volume definition with its superior soft tissue contrast.

Treatment simulation for radiation treatment planning is typically performed by use of CT simulators in most RT departments. While CT is optimal for assessment of the bony anatomy, MRI provides superior soft tissue contrast. Combining imaging information from both modalities may thus facilitate optimal target definition and may also aid in delineation of relatively smaller structures of interest such as the optic pathway and hippocampus. Given the limited RT dose tolerance due to initially delivered RT for patients with glioblastoma, accurate determination of the target and critical structures becomes an important concern in the context of reirradiation. Every effort should be expended to refrain from excessive exposure of normal brain tissues during reirradiation of recurrent glioblastoma to avoid adverse radiation effects. In this context, we strongly suggest incorporation of all relevant imaging information of the patients in the radiation treatment planning process. Our study adds to the literature by indicating the importance of incorporating multimodality imaging for accurate target definition for precise stereotactic reirradiation of recurrent glioblastoma. Clearly, the concept of multimodality imaging should be further investigated in future trials for optimization of target definition for recurrent glioblastoma radiosurgery.

Conclusion

In conclusion, incorporation of MRI may improve target definition for recurrent glioblastoma radiosurgery despite the need for further supporting evidence. The risk factors related significantly with HCC mortality were BCLC stage, CP score, and treatment modality. The greater BCLC stage or Child-Pugh score is, the greater it is related to HCC mortality. Supportive treatment was associated with high HCC mortality. We suggest increasing HCC surveillance to detect earlier stages of HCC which can undergo curative treatment, has better prognosis and also lower mortality rate. For future studies, we recommend that other parameters can also be examined.

24150

References

  1. Philips A, Henshaw DL, Lamburn G, Carroll MJ (2018) Brain tumours: Rise in glioblastoma multiforme incidence in England 1995-2015 suggests an adverse environmental or lifestyle factor. J Environ Public Health 18: 7910754.
  2. Nizamutdinov D, Stock EM, Dandashi JA, Vasquez EA, Mao Y, et al. (2018) Prognostication of survival outcomes in patients diagnosed with glioblastoma. World Neurosurg 109: 67-74.
  3. Gaspar LE, Fisher BJ, Macdonald DR, LeBer DV, Halperin EC, et al. (1992) Supratentorial malignant glioma: Patterns of recurrence and implications for external beam local treatment. Int J Radiat Oncol Biol Phys 24: 55-57.
  4. Wallner KE, Galicich JH, Krol G, Arbit E, Malkin MG (1989) Patterns of failure following treatment for glioblastoma multiforme and anaplastic astrocytoma. Int J Radiat Oncol Biol Phys 16: 1405-1409.
  5. Demiral S, Dincoglan F, Sager O, Uysal B, Gamsiz H, et al. (2018) Contemporary management of meningiomas with radiosurgery. Int J Radiol Imaging Technol 4: 1-41.
  6. Demiral S, Dincoglan F, Sager O, Gamsiz H, Uysal B, et al. (2016) Hypofractionated stereotactic radiotherapy (HFSRT) for who grade I anterior clinoid meningiomas (ACM). Jpn J Radiol 34: 730-737.
  7. Dincoglan F, Beyzadeoglu M, Sager O, Demiral S, Gamsiz H, et al. (2015) Management of patients with recurrent glioblastoma using hypofractionated stereotactic radiotherapy. Tumori 101: 179-184.
  8. Sager O, Dincoglan F, Beyzadeoglu M (2015) Stereotactic radiosurgery of glomus jugulare tumors: Current concepts, recent advances and future perspectives. CNS Oncol 4: 105-114.
  9. Dincoglan F, Sager O, Gamsiz H, Uysal B, Demiral S, et al. (2014) Management of patients with ≥ 4 brain metastases using stereotactic radiosurgery boost after whole brain irradiation. Tumori 100: 302-306.
  10. Demiral S, Beyzadeoglu M, Sager O, Dincoglan F, Gamsiz H, et al. (2014) Evaluation of linear accelerator (linac)-based stereotactic radiosurgery (srs) for the treatment of craniopharyngiomas. Int J Hematol Oncol 24: 123-129.
  11. Sager O, Beyzadeoglu M, Dincoglan F, Gamsiz H, Demiral S, et al. (2014) Evaluation of linear accelerator-based stereotactic radiosurgery in the management of glomus jugulare tumors. Tumori 100: 184-188.
  12. Gamsiz H, Beyzadeoglu M, Sager O, Dincoglan F, Demiral S, et al. (2014) Management of pulmonary oligometastases by stereotactic body radiotherapy. Tumori 100: 179-183.
  13. Sager O, Beyzadeoglu M, Dincoglan F, Uysal B, Gamsiz H, et al. (2014) Evaluation of linear accelerator (LINAC)-based stereotactic radiosurgery (SRS) for cerebral cavernous malformations: A 15-year single-center experience. Ann Saudi Med 34: 54-58.
  14. Dincoglan F, Beyzadeoglu M, Sager O, Uysal B, Demiral S, et al. (2013) Evaluation of linear accelerator-based stereotactic radiosurgery in the management of meningiomas: A single center experience. J BUON 18: 717-722.
  15. Demiral S, Beyzadeoglu M, Uysal B, Oysul K, Kahya YE, et al. (2013) Evaluation of stereotactic body radiotherapy (SBRT) boost in the management of endometrial cancer. Neoplasma 60: 322-327.
  16. Sager O, Beyzadeoglu M, Dincoglan F, Demiral S, Uysal B, et al. (2013) Management of vestibular schwannomas with linear accelerator-based stereotactic radiosurgery: A single center experience. Tumori 99: 617-622.
  17. Dincoglan F, Sager O, Gamsiz H, Uysal B, Demiral S, et al. (2012) Stereotactic radiosurgery for intracranial tumors: A single center experience. Gulhane Med J 54: 190-198.
  18. Surenkok S, Sager O, Dincoglan F, Gamsiz H, Demiral S, et al. (2012) Stereotactic radiosurgery in pituitary adenomas: A single center experience. Int J Hematol Oncol 22: 255-260.
  19. Dincoglan F, Sager O, Gamsiz H, Demiral S, Uysal B, et al. (2012) Management of arteriovenous malformations by stereotactic radiosurgery: A single center experience. Int J Hematol Oncol 22: 107-112.
  20. Dincoglan F, Beyzadeoglu M, Sager O, Oysul K, Sirin S, et al. (2012) Image-guided positioning in intracranial non-invasive stereotactic radiosurgery for the treatment of brain metastasis. Tumori 98: 630-635.
  21. Sirin S, Oysul K, Surenkok S, Sager O, Dincoglan F, et al. (2011) Linear accelerator-based stereotactic radiosurgery in recurrent glioblastoma: A single center experience. Vojnosanit Pregl 68: 961-966.
  22. Sager O, Dincoglan F, Demiral S, Uysal B, Gamsiz H, et al. (2018) A concise review of immunotherapy glioblastoma. Neuroimmunol Neuroinflammation 5: 25.
  23. Hottinger AF, Stupp R, Homicsko K (2014) Standards of care and novel approaches in the management of glioblastoma multiforme. Chin J Cancer 33: 32-39.
  24. Paolillo M, Boselli C, Schinelli S (2018)   Glioblastoma under Siege: An overview of current therapeutic strategies. Brain Sci 8: 15.
  25. Sager O, Dincoglan F, Demiral S, Uysal B, Gamsiz H, et al. (2018) Radiation therapy (RT) for diffuse intrinsic pontine glioma (DIPG) in children. Arch Can Res 6: 14.
  26. Mohamed AEL, Elkady AM, Shosha MA, Mohamed D (2018) Nonmethylated MGMT as predictive factor in newly diagnosed glioblastoma multiforme treated with bevacizumab concurrent with radiotherapy followed by adjuvant bevacizumab plus irinotecan vs. temozolomide concurrent with radiotherapy followed by adjuvant temozolomide. Arch Cancer Res 6: 11.
  27. Lupo JM, Nelson SJ (2014) Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma. Semin Radiat Oncol 24: 248-258.