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Dirven I, Calliauw E, Awada G, Vounckx M, Kessels JI, Neyns B. Successful treatment of MAP2K1 mutant stage IV-M1d melanoma with trametinib plus low-dose dabrafenib: a case report. Front Med (Lausanne) 2024; 11:1436774. [PMID: 39314226 PMCID: PMC11418105 DOI: 10.3389/fmed.2024.1436774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/09/2024] [Indexed: 09/25/2024] Open
Abstract
Clonal MAPK-pathway activating mutations in the MAP2K1 (MEK1) gene are present in approximately 9% of cutaneous melanomas. These mutations are divided into three classes: RAF-dependent, RAF-regulated, RAF-independent. Cell lines with class-2 or RAF-regulated MAP2K1-mutations are most responsive to MEK-inhibitors. We present a patient with a class-2 MAP2K1-mutant stage IV-M1d melanoma who experienced extra- and intracranial progressive disease following treatment with immune-checkpoint inhibitors. The patient was treated with the MEK-inhibitor trametinib (2 mg OD) to which a low-dose of dabrafenib (50 mg BID) was added to mitigate skin-toxicity. Following documentation of a partial response (PR), she developed one new, and increase in volume of two pre-existing brain metastases that were treated with stereotactic radiosurgery (SRS) while continuing trametinib and dabrafenib. Thereafter, a deep partial radiologic and metabolic response both extra-and intra-cranially was achieved and is ongoing 88 weeks after initiating trametinib. She experienced no grade > 2 adverse events. Focal post-radiation necrosis at site of an irradiated brain metastasis developed 9 months after SRS and is successfully being treated with low-dose bevacizumab. This is the first published case of a durable intracranial disease control with the MEK-inhibitor trametinib of a stage IV-M1d class-2 MAP2K1-mutant melanoma. This illustrates the utility of NGS profiles that include class-1/2 MAP2K1-mutations in patients with melanoma and other malignancies to provide valuable information on a potentially active individualized treatment option. A prospective clinical trial that further evaluates the efficacy of MEK-inhibitor therapies in MAP2K1-mutated tumors is justified.
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Affiliation(s)
- Iris Dirven
- Department of Medical Oncology, Universitair Ziekenhuis Brussel (UZ Brussel) and Vrije Universiteit Brussel (VUB), Brussels, Belgium
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2
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Roh YH, Park JE, Park SY, Cho YH, Kim YH, Song SW, Yoon S, Kim HS. Assessment of imaging risks for recurrence after stereotactic radiosurgery for brain metastases (IRRaS-BM). BMC Cancer 2024; 24:866. [PMID: 39026289 PMCID: PMC11264672 DOI: 10.1186/s12885-024-12636-5] [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: 08/19/2023] [Accepted: 07/12/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND The identification of viable tumors and radiation necrosis after stereotactic radiosurgery (SRS) is crucial for patient management. Tumor habitat analysis involving the grouping of similar voxels can identify subregions that share common biology and enable the depiction of areas of tumor recurrence and treatment-induced change. This study aims to validate an imaging biomarker for tumor recurrence after SRS for brain metastasis by conducting tumor habitat analysis using multi-parametric MRI. METHODS In this prospective study (NCT05868928), patients with brain metastases will undergo multi-parametric MRI before SRS, and then follow-up MRIs will be conducted every 3 months until 24 months after SRS. The multi-parametric MRI protocol will include T2-weighted and contrast-enhanced T1-weighted imaging, diffusion-weighted imaging, and dynamic susceptibility contrast imaging. Using k-means voxel-wise clustering, this study will define three structural MRI habitats (enhancing, solid low-enhancing, and nonviable) on T1- and T2-weighted images and three physiologic MRI habitats (hypervascular cellular, hypovascular cellular, and nonviable) on apparent diffusion coefficient maps and cerebral blood volume maps. Using RANO-BM criteria as the reference standard, via Cox proportional hazards analysis, the study will prospectively evaluate associations between parameters of the tumor habitats and the time to recurrence. The DICE similarity coefficients between the recurrence site and tumor habitats will be calculated. DISCUSSION The tumor habitat analysis will provide an objective and reliable measure for assessing tumor recurrence from brain metastasis following SRS. By identifying subregions for local recurrence, our study could guide the next therapeutic targets for patients after SRS. TRIAL REGISTRATION This study is registered at ClinicalTrials.gov (NCT05868928).
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Affiliation(s)
- Yun Hwa Roh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
| | - Seo Young Park
- Department of Statistics and Data Science, Korea National Open University, Seoul, Republic of Korea
| | - Young Hyun Cho
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Young-Hoon Kim
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Sang Woo Song
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Shinkyo Yoon
- Department of Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
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Zhou F, Jiang L, Sun X, Wang Z, Feng J, Liu M, Ma Z. Surgery of enlarging lesions after stereotactic radiosurgery for brain metastases in patients with non-small cell lung cancer with oncogenic driver mutations frequently reveals radiation necrosis: case series and review. APMIS 2024; 132:375-381. [PMID: 38466886 DOI: 10.1111/apm.13402] [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: 10/21/2023] [Accepted: 03/04/2024] [Indexed: 03/13/2024]
Abstract
In brain metastases, radiation necrosis (RN) is a complication that arises after single or multiple fractionated stereotactic radiosurgery (SRS/FSRS), which is challenging to distinguish from local recurrence (LR). Studies have shown increased RN incidence rates in non-small cell lung cancer (NSCLC) patients with oncogenic driver mutations (ODMs) or receiving tyrosine kinase inhibitors (TKIs). This study investigated enlarging brain lesions following SRS/FSRS, for which additional surgeries were performed to distinguish between RN and LR. We investigated seven NSCLC patients with ODMs undergoing SRS/FSRS for BM and undergoing surgery for suspicion of LR on MRI imaging. Descriptive statistics were performed. Among the seven patients, six were EGFR+, while one was ALK+. The median irradiation dose was 30 Gy (range, 20-35 Gy). The median time to develop RN after SRS/FSRS was 11.1 months (range: 6.3-31.2 months). Moreover, gradually enlarging lesions were found in all patients after 6 months post-SRS/FSR. Brain radiation necrosis was pathologically confirmed in all the patients. RN should be suspected in NSCLC patients when lesions keep enlarging after 6 months post-SRS/FSRS, especially for patients with ODMs and receiving TKIs. Further, this case series indicates that further dose reduction might be necessary to avoid RN for such patients.
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Affiliation(s)
- Fang Zhou
- Departments of Radiotherapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Leilei Jiang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Peking University, Beijing, China
| | - Xuankai Sun
- Departments of Radiotherapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Zhen Wang
- Departments of Radiotherapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Jialin Feng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Peking University, Beijing, China
| | - Ming Liu
- Departments of Radiotherapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Zhao Ma
- Departments of Radiotherapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
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4
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Takagi F, Furuse M, Kuwabara H, Kambara A, Omura N, Tanabe S, Yagi R, Hiramatsu R, Kameda M, Nonoguchi N, Kawabata S, Takami T, Miyatake SI, Wanibuchi M. Expression and distribution of hypoxia-inducible factor-1α and vascular endothelial growth factor in comparison between radiation necrosis and tumor tissue in metastatic brain tumor: A case report. Neuropathology 2024; 44:240-246. [PMID: 38069461 DOI: 10.1111/neup.12958] [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: 08/22/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 06/04/2024]
Abstract
We report the case of a 70-year-old woman with metastatic brain tumors who underwent surgical removal of the tumor and radiation necrosis. The patient had a history of colon cancer and had undergone surgical removal of a left occipital tumor. Histopathological evaluation revealed a metastatic brain tumor. The tumor recurred six months after surgical removal, followed by whole-brain radiotherapy, and the patient underwent stereotactic radiosurgery. Six months later, the perifocal edema had increased, and the patient became symptomatic. The diagnosis was radiation necrosis and corticosteroids were initially effective. However, radiation necrosis became uncontrollable, and the patient underwent removal of necrotic tissue two years after stereotactic radiosurgery. Pathological findings predominantly showed necrotic tissue with some tumor cells. Since the vascular endothelial growth factor (VEGF) and hypoxia-inducible factor-1α (HIF-1α) were expressed around the necrotic tissue, the main cause of the edema was determined as radiation necrosis. Differences in the expression levels and distribution of HIF-1α and VEGF were observed between treatment-naïve and recurrent tumor tissue and radiation necrosis. This difference suggests the possibility of different mechanisms for edema formation due to the tumor itself and radiation necrosis. Although distinguishing radiation necrosis from recurrent tumors using MRI remains challenging, the pathophysiological mechanism of perifocal edema might be crucial for differentiating radiation necrosis from recurrent tumors.
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Affiliation(s)
- Fugen Takagi
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Motomasa Furuse
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Hiroko Kuwabara
- Department of Pathology, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Akihiro Kambara
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Naoki Omura
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Shogo Tanabe
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Ryokichi Yagi
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Ryo Hiramatsu
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Masahiro Kameda
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Naosuke Nonoguchi
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Shinji Kawabata
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Toshihiro Takami
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Shin-Ichi Miyatake
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Masahiko Wanibuchi
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
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Bourbonne V, Dissaux B, Seizeur R, Nguyen J, Querellou S. Mismatch Between Brain MRIs and 18 F-DOPA PET/CT : Impact on the Management of a Long Survivor With EGFR-Mutated Lung Adenocarcinoma. Clin Nucl Med 2024; 49:324-326. [PMID: 38350083 DOI: 10.1097/rlu.0000000000005058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
ABSTRACT After receiving erlotinib for 4 years, a man with advanced lung adenocarcinoma was treated with stereotactic radiotherapy for a left cerebellar brain metastasis. Local relapse of the metastasis was suspected 14 months after and confirmed on 18 F-DOPA PET. Three additional uptakes were described with no unequivocal MRI pathological signal. A second radiotherapy course was delivered. One year later, isolated local recurrence was suspected on a 3 T MRI, with a suspicious 18 F-DOPA uptake. Five additional 18 F-DOPA uptakes were described among which one increased between the 2 PETs. Because of these MRI/PET mismatches, a switch from erlotinib to osimertinib was preferred over surgery.
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Schack A, Aunan-Diop JS, Gerhardt FA, Pedersen CB, Halle B, Kofoed MS, Markovic L, Wirenfeldt M, Poulsen FR. Evaluating the Efficacy of Perfusion MRI and Conventional MRI in Distinguishing Recurrent Cerebral Metastasis from Brain Radiation Necrosis. Brain Sci 2024; 14:321. [PMID: 38671973 PMCID: PMC11048647 DOI: 10.3390/brainsci14040321] [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: 02/28/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Differentiating recurrent cerebral metastasis (CM) from brain radiation necrosis (BRN) is pivotal for guiding appropriate treatment and prognostication. Despite advances in imaging techniques, however, accurately distinguishing these conditions non-invasively is still challenging. This single-center retrospective study reviewed 32 cases (28 patients) with confirmed cerebral metastases who underwent surgical excision of lesions initially diagnosed by MRI and/or MR perfusion scans from 1 January 2015 to 30 September 2020. Diagnostic accuracy was assessed by comparing imaging findings with postoperative histopathology. Conventional MRI accurately identified recurrent CM in 75% of cases. MR perfusion scans showed significantly higher mean maximum relative cerebral blood volume (max. rCBV) in metastasis cases, indicating its potential as a discriminative biomarker. No single imaging modality could definitively distinguish CM from BRN. Survival analysis revealed gender as the only significant factor affecting overall survival, with no significant survival difference observed between patients with CM and BRN after controlling for confounding factors. This study underscores the limitations of both conventional MRI and MR perfusion scans in differentiating recurrent CM from BRN. Histopathological examination remains essential for accurate diagnosis. Further research is needed to improve the reliability of non-invasive imaging and to guide the management of patients with these post-radiation events.
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Affiliation(s)
- Anders Schack
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Jan Saip Aunan-Diop
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frederik A. Gerhardt
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Christian Bonde Pedersen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Bo Halle
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Mikkel S. Kofoed
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Ljubo Markovic
- Department of Radiology, Odense University Hospital, DK-5000 Odense, Denmark
| | - Martin Wirenfeldt
- Department of Pathology, University Hospital of Southern Denmark, DK-6000 Esbjerg, Denmark
- Department of Regional Health Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frantz Rom Poulsen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
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7
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Bhattacharya K, Rastogi S, Mahajan A. Post-treatment imaging of gliomas: challenging the existing dogmas. Clin Radiol 2024; 79:e376-e392. [PMID: 38123395 DOI: 10.1016/j.crad.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 10/23/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Gliomas are the commonest malignant central nervous system tumours in adults and imaging is the cornerstone of diagnosis, treatment, and post-treatment follow-up of these patients. With the ever-evolving treatment strategies post-treatment imaging and interpretation in glioma remains challenging, more so with the advent of anti-angiogenic drugs and immunotherapy, which can significantly alter the appearance in this setting, thus making interpretation of routine imaging findings such as contrast enhancement, oedema, and mass effect difficult to interpret. This review details the various methods of management of glioma including the upcoming novel therapies and their impact on imaging findings, with a comprehensive description of the imaging findings in conventional and advanced imaging techniques. A systematic appraisal for the existing and emerging techniques of imaging in these settings and their clinical application including various response assessment guidelines and artificial intelligence based response assessment will also be discussed.
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Affiliation(s)
- K Bhattacharya
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - S Rastogi
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - A Mahajan
- Department of imaging, The Clatterbridge Cancer Centre, NHS Foundation Trust, Pembroke Place, Liverpool L7 8YA, UK; University of Liverpool, Liverpool L69 3BX, UK.
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8
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Mattke M, Ohlinger M, Bougatf N, Wolf R, Welzel T, Roeder F, Gerum S, Fussl C, Annon-Eberharter N, Ellerbrock M, Jäkel O, Haberer T, Herfarth K, Uhl M, Debus J, Seidensaal K, Harrabi S. Patterns of Temporal Lobe Reaction and Radiation Necrosis after Particle Radiotherapy in Patients with Skull Base Chordoma and Chondrosarcoma-A Single-Center Experience. Cancers (Basel) 2024; 16:718. [PMID: 38398109 PMCID: PMC10886807 DOI: 10.3390/cancers16040718] [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: 12/28/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND The current study aims to evaluate the occurrence of temporal lobe reactions and identify possible risk factors for patients who underwent particle therapy of the skull base. METHODS 244 patients treated for skull base chordoma (n = 144) or chondrosarcoma (n = 100) at the Heidelberg Ion Beam Therapy Center (HIT) using a raster scan technique, were analyzed. Follow-up MRI-scans were matched with the initial planning images. Radiogenic reactions were contoured and analyzed based on volume and dose of treatment. RESULTS 51 patients with chordoma (35.4%) and 30 patients (30%) with chondrosarcoma experienced at least one temporal lobe reaction within the follow-up period (median 49 months for chondrosarcoma, 62 months for chordoma). Age, irradiated volume, and dose values were significant risk factors for the development of temporal lobe reactions with the highest significance for the value of DMax-7 being defined as the dose maximum in the temporal lobe minus the 7cc with the highest dose (p = 0.000000000019; OR 1.087). CONCLUSION Temporal lobe reactions are a common side effect after particle therapy of the skull base. We were able to develop a multivariate model, which predicted radiation reactions with a specificity of 99% and a sensitivity of 52.2%.
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Affiliation(s)
- Matthias Mattke
- Department of Radiation Oncology, Paracelsus Medical University, Salzburger Landesklinikum (SALK), 5020 Salzburg, Austria; (F.R.); (S.G.); (C.F.)
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
| | - Matteo Ohlinger
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
| | - Nina Bougatf
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Robert Wolf
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
| | - Thomas Welzel
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
| | - Falk Roeder
- Department of Radiation Oncology, Paracelsus Medical University, Salzburger Landesklinikum (SALK), 5020 Salzburg, Austria; (F.R.); (S.G.); (C.F.)
- Institute of Research and Development of Advanced Radiation Technologies (radART), Paracelsus Medical University, 5020 Salzburg, Austria
| | - Sabine Gerum
- Department of Radiation Oncology, Paracelsus Medical University, Salzburger Landesklinikum (SALK), 5020 Salzburg, Austria; (F.R.); (S.G.); (C.F.)
| | - Christoph Fussl
- Department of Radiation Oncology, Paracelsus Medical University, Salzburger Landesklinikum (SALK), 5020 Salzburg, Austria; (F.R.); (S.G.); (C.F.)
| | - Natalee Annon-Eberharter
- Department of Radiation Oncology, Paracelsus Medical University, Salzburger Landesklinikum (SALK), 5020 Salzburg, Austria; (F.R.); (S.G.); (C.F.)
| | - Malte Ellerbrock
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Oliver Jäkel
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Division for Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Thomas Haberer
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Klaus Herfarth
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Matthias Uhl
- Department of Radiation Oncology, Ludwigshafen Hospital, 67063 Ludwigshafen, Germany;
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Heidelberg, 69120 Heidelberg, Germany
| | - Katharina Seidensaal
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
| | - Semi Harrabi
- Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany (N.B.); (R.W.); (T.W.); (O.J.); (K.H.); (J.D.); (S.H.)
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany; (M.E.); (T.H.)
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9
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Salans M, Ni L, Morin O, Ziemer B, Capaldi DPI, Raleigh DR, Vasudevan HN, Chew J, Nakamura J, Sneed PK, Boreta L, Villanueva-Meyer JE, Theodosopoulos P, Braunstein S. Adverse radiation effect versus tumor progression following stereotactic radiosurgery for brain metastases: Implications of radiologic uncertainty. J Neurooncol 2024; 166:535-546. [PMID: 38316705 PMCID: PMC10876820 DOI: 10.1007/s11060-024-04578-6] [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: 12/22/2023] [Accepted: 01/17/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Adverse radiation effect (ARE) following stereotactic radiosurgery (SRS) for brain metastases is challenging to distinguish from tumor progression. This study characterizes the clinical implications of radiologic uncertainty (RU). METHODS Cases reviewed retrospectively at a single-institutional, multi-disciplinary SRS Tumor Board between 2015-2022 for RU following SRS were identified. Treatment history, diagnostic or therapeutic interventions performed upon RU resolution, and development of neurologic deficits surrounding intervention were obtained from the medical record. Differences in lesion volume and maximum diameter at RU onset versus resolution were compared with paired t-tests. Median time from RU onset to resolution was estimated using the Kaplan-Meier method. Univariate and multivariate associations between clinical characteristics and time to RU resolution were assessed with Cox proportional-hazards regression. RESULTS Among 128 lesions with RU, 23.5% had undergone ≥ 2 courses of radiation. Median maximum diameter (20 vs. 16 mm, p < 0.001) and volume (2.7 vs. 1.5 cc, p < 0.001) were larger upon RU resolution versus onset. RU resolution took > 6 and > 12 months in 25% and 7% of cases, respectively. Higher total EQD2 prior to RU onset (HR = 0.45, p = 0.03) and use of MR perfusion (HR = 0.56, p = 0.001) correlated with shorter time to resolution; larger volume (HR = 1.05, p = 0.006) portended longer time to resolution. Most lesions (57%) were diagnosed as ARE. Most patients (58%) underwent an intervention upon RU resolution; of these, 38% developed a neurologic deficit surrounding intervention. CONCLUSIONS RU resolution took > 6 months in > 25% of cases. RU may lead to suboptimal outcomes and symptom burden. Improved characterization of post-SRS RU is needed.
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Affiliation(s)
- Mia Salans
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lisa Ni
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Olivier Morin
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Benjamin Ziemer
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Dante P I Capaldi
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Pathology, University of California San Francisco (DRR), San Francisco, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Jessica Chew
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Jean Nakamura
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lauren Boreta
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Javier E Villanueva-Meyer
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco (JEVM), San Francisco, USA
| | - Philip Theodosopoulos
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Steve Braunstein
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA.
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10
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Vellayappan B, Lim-Fat MJ, Kotecha R, De Salles A, Fariselli L, Levivier M, Ma L, Paddick I, Pollock BE, Regis J, Sheehan JP, Suh JH, Yomo S, Sahgal A. A Systematic Review Informing the Management of Symptomatic Brain Radiation Necrosis After Stereotactic Radiosurgery and International Stereotactic Radiosurgery Society Recommendations. Int J Radiat Oncol Biol Phys 2024; 118:14-28. [PMID: 37482137 DOI: 10.1016/j.ijrobp.2023.07.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 07/02/2023] [Accepted: 07/14/2023] [Indexed: 07/25/2023]
Abstract
Radiation necrosis (RN) secondary to stereotactic radiosurgery is a significant cause of morbidity. The optimal management of corticosteroid-refractory brain RN remains unclear. Our objective was to summarize the literature specific to efficacy and toxicity of treatment paradigms for patients with symptomatic corticosteroid-refractory RN and to provide consensus guidelines for grading and management of RN on behalf of the International Stereotactic Radiosurgery Society. A systematic review of articles pertaining to treatment of RN with bevacizumab, laser interstitial thermal therapy (LITT), surgical resection, or hyperbaric oxygen therapy was performed. The primary composite outcome was clinical and/or radiologic stability/improvement (ie, proportion of patients achieving improvement or stability with the given intervention). Proportions of patients achieving the primary outcome were pooled using random weighted-effects analysis but not directly compared between interventions. Twenty-one articles were included, of which only 2 were prospective studies. Thirteen reports were relevant for bevacizumab, 5 for LITT, 5 for surgical resection and 1 for hyperbaric oxygen therapy. Weighted effects analysis revealed that bevacizumab had a pooled symptom improvement/stability rate of 86% (95% CI 77%-92%), pooled T2 imaging improvement/stability rate of 93% (95% CI 87%-98%), and pooled T1 postcontrast improvement/stability rate of 94% (95% CI 87%-98%). Subgroup analysis showed a statistically significant improvement favoring treatment with low-dose (below median, ≤7.5 mg/kg every 3 weeks) versus high-dose bevacizumab with regards to symptom improvement/stability rate (P = .02) but not for radiologic T1 or T2 changes. The pooled T1 postcontrast improvement/stability rate for LITT was 88% (95% CI 82%-93%), and pooled symptom improvement/stability rate for surgery was 89% (95% CI 81%-96%). Toxicity was inconsistently reported but was generally low for all treatment paradigms. Corticosteroid-refractory RN that does not require urgent surgical intervention, with sufficient noninvasive diagnostic testing that favors RN, can be treated medically with bevacizumab in carefully selected patients as a strong recommendation. The role of LITT is evolving as a less invasive image guided surgical modality; however, the overall evidence for each modality is of low quality. Prospective head-to-head comparisons are needed to evaluate the relative efficacy and toxicity profile among treatment approaches.
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Affiliation(s)
- Balamurugan Vellayappan
- Department of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
| | - Mary Jane Lim-Fat
- Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Antonio De Salles
- Department of Neurosurgery, University of California, Los Angeles, California; HCor Neuroscience, São Paulo, Brazil
| | - Laura Fariselli
- Department of Neurosurgery, Unit of Radiotherapy, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Marc Levivier
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Lijun Ma
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Ian Paddick
- Division Physics, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Bruce E Pollock
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota
| | - Jean Regis
- Department of Functional Neurosurgery, Aix Marseille University, Timone University Hospital, Marseille, France
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - John H Suh
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Shoji Yomo
- Division of Radiation Oncology, Aizawa Comprehensive Cancer Center, Aizawa Hospital, Matsumoto, Japan
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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11
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Ocaña-Tienda B, León-Triana O, Pérez-Beteta J, Jiménez-Sánchez J, Pérez-García VM. Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach. PLoS Comput Biol 2024; 20:e1011400. [PMID: 38289964 PMCID: PMC10857744 DOI: 10.1371/journal.pcbi.1011400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/09/2024] [Accepted: 01/21/2024] [Indexed: 02/01/2024] Open
Abstract
Metastasis is the process through which cancer cells break away from a primary tumor, travel through the blood or lymph system, and form new tumors in distant tissues. One of the preferred sites for metastatic dissemination is the brain, affecting more than 20% of all cancer patients. This figure is increasing steadily due to improvements in treatments of primary tumors. Stereotactic radiosurgery (SRS) is one of the main treatment options for patients with a small or moderate number of brain metastases (BMs). A frequent adverse event of SRS is radiation necrosis (RN), an inflammatory condition caused by late normal tissue cell death. A major diagnostic problem is that RNs are difficult to distinguish from BM recurrences, due to their similarities on standard magnetic resonance images (MRIs). However, this distinction is key to choosing the best therapeutic approach since RNs resolve often without further interventions, while relapsing BMs may require open brain surgery. Recent research has shown that RNs have a faster growth dynamics than recurrent BMs, providing a way to differentiate the two entities, but no mechanistic explanation has been provided for those observations. In this study, computational frameworks were developed based on mathematical models of increasing complexity, providing mechanistic explanations for the differential growth dynamics of BMs relapse versus RN events and explaining the observed clinical phenomenology. Simulated tumor relapses were found to have growth exponents substantially smaller than the group in which there was inflammation due to damage induced by SRS to normal brain tissue adjacent to the BMs, thus leading to RN. ROC curves with the synthetic data had an optimal threshold that maximized the sensitivity and specificity values for a growth exponent β* = 1.05, very close to that observed in patient datasets.
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Affiliation(s)
- Beatriz Ocaña-Tienda
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | | | - Julián Pérez-Beteta
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | - Juan Jiménez-Sánchez
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
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12
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Dagher R, Gad M, da Silva de Santana P, Sadeghi MA, Yewedalsew SF, Gujar SK, Yedavalli V, Köhler CA, Khan M, Tavora DGF, Kamson DO, Sair HI, Luna LP. Umbrella review and network meta-analysis of diagnostic imaging test accuracy studies in Differentiating between brain tumor progression versus pseudoprogression and radionecrosis. J Neurooncol 2024; 166:1-15. [PMID: 38212574 DOI: 10.1007/s11060-023-04528-8] [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: 11/05/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024]
Abstract
PURPOSE In this study we gathered and analyzed the available evidence regarding 17 different imaging modalities and performed network meta-analysis to find the most effective modality for the differentiation between brain tumor recurrence and post-treatment radiation effects. METHODS We conducted a comprehensive systematic search on PubMed and Embase. The quality of eligible studies was assessed using the Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) instrument. For each meta-analysis, we recalculated the effect size, sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio from the individual study data provided in the original meta-analysis using a random-effects model. Imaging technique comparisons were then assessed using NMA. Ranking was assessed using the multidimensional scaling approach and by visually assessing surface under the cumulative ranking curves. RESULTS We identified 32 eligible studies. High confidence in the results was found in only one of them, with a substantial heterogeneity and small study effect in 21% and 9% of included meta-analysis respectively. Comparisons between MRS Cho/NAA, Cho/Cr, DWI, and DSC were most studied. Our analysis showed MRS (Cho/NAA) and 18F-DOPA PET displayed the highest sensitivity and negative likelihood ratios. 18-FET PET was ranked highest among the 17 studied techniques with statistical significance. APT MRI was the only non-nuclear imaging modality to rank higher than DSC, with statistical insignificance, however. CONCLUSION The evidence regarding which imaging modality is best for the differentiation between radiation necrosis and post-treatment radiation effects is still inconclusive. Using NMA, our analysis ranked FET PET to be the best for such a task based on the available evidence. APT MRI showed promising results as a non-nuclear alternative.
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Affiliation(s)
- Richard Dagher
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Mona Gad
- Diagnostic Radiology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | | | - Mohammad Amin Sadeghi
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | | | - Sachin K Gujar
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Vivek Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Cristiano André Köhler
- Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Majid Khan
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | | | - David Olayinka Kamson
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD, USA
| | - Haris I Sair
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Licia P Luna
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA.
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13
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Royal-Preyra B. The Impact of Immune Checkpoint Inhibition on the Risk of Radiation Necrosis Following Stereotactic Radiotherapy for Metastatic Brain Cancer. Cureus 2023; 15:e51381. [PMID: 38161546 PMCID: PMC10757743 DOI: 10.7759/cureus.51381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2023] [Indexed: 01/03/2024] Open
Abstract
Purpose/objective Forty percent of cancer patients develop brain metastases (BM) and are often treated with stereotactic radiation (SRS/SRT). Checkpoint inhibitor (CI) use is suspected of increasing the risk of radiation necrosis (RN). Our aim is to determine whether treatment with CI is associated with an increased risk of RN in BM patients treated with SRS/SRT. Methods We retrospectively identified the medical records of BM patients treated with SRS/SRT between 1/2017 and 12/2021 using an institutional database. RN was defined by MRI imaging read by neuroradiologists and/or surgical pathology. V12GY of patients with and without RN was compared using the Mann-Whitney test. The chi-square test was used to see if RN was associated with CI use, histology, particular CI agent used, > 1 course SRS/SRT, SRS/SRT dose, chemotherapy, whole brain radiotherapy (WBRT), age, or sex. Results Two hundred and fifty-nine patients treated with 455 courses of SRS/SRT were analyzed. The most common primary histologies were lung 56% (N=146), breast 14% (N= 37), melanoma 9% (N=24), and renal cancer 7% (N=18). A total of 53.8% (N = no. of patients) were treated with CI. The overall rate of any RN was 21.8% (N=27) in the CI group compared to 14.8% (N=141) in the non-CI group (p=0.174). Mean V12Gy was 15.525 cc and 9.419 cc in patients with and without RN (p=0.02768). Mean number of SRS/SRT courses was 2 and 1.53 for patients with and without RN, and >1 course of SRS/SRT was a predictor of RN (p <0.01). Other features analyzed were not significant. Conclusion RN was higher in the BM patients treated with SRS/SRT receiving CI compared to non-CI patients (21.8%, N=27, versus 14.6%, N= 16), but failed to reach statistical significance. V12Gy and > 1 course of SRS/SRT was associated with RN. Caution should be taken in treating patients with SRS/SRT and CI there might be an increased risk of RN.
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Affiliation(s)
- Ben Royal-Preyra
- Radiation Oncology, Centre Hospitalier Affilié Universitaire Regional, Trois-Rivières, CAN
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14
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van den Bent MJ, Geurts M, French PJ, Smits M, Capper D, Bromberg JEC, Chang SM. Primary brain tumours in adults. Lancet 2023; 402:1564-1579. [PMID: 37738997 DOI: 10.1016/s0140-6736(23)01054-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 05/06/2023] [Accepted: 05/16/2023] [Indexed: 09/24/2023]
Abstract
The most frequent adult-type primary CNS tumours are diffuse gliomas, but a large variety of rarer CNS tumour types exists. The classification of these tumours is increasingly based on molecular diagnostics, which is reflected in the extensive molecular foundation of the recent WHO 2021 classification of CNS tumours. Resection as extensive as is safely possible is the cornerstone of treatment in most gliomas, and is now also recommended early in the treatment of patients with radiological evidence of histologically low-grade tumours. For the adult-type diffuse glioma, standard of care is a combination of radiotherapy and chemotherapy. Although treatment with curative intent is not available, combined modality treatment has resulted in long-term survival (>10-20 years) for some patients with isocitrate dehydrogenase (IDH) mutant tumours. Other rarer tumours require tailored approaches, best delivered in specialised centres. Targeted treatments based on molecular alterations still only play a minor role in the treatment landscape of adult-type diffuse glioma, and today are mainly limited to patients with tumours with BRAFV600E (ie, Val600Glu) mutations. Immunotherapy for CNS tumours is still in its infancy, and so far, trials with checkpoint inhibitors and vaccination studies have not shown improvement in patient outcomes in glioblastoma. Current research is focused on improving our understanding of the immunosuppressive tumour environment, the molecular heterogeneity of tumours, and the role of tumour microtube network connections between cells in the tumour microenvironment. These factors all appear to play a role in treatment resistance, and indicate that novel approaches are needed to further improve outcomes of patients with CNS tumours.
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Affiliation(s)
- Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Netherlands.
| | - Marjolein Geurts
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Netherlands
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Netherlands; Medical Delta, Delft, Netherlands
| | - David Capper
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium, Berlin, Germany; German Cancer Research Center, Heidelberg, Germany
| | - Jacoline E C Bromberg
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Netherlands
| | - Susan M Chang
- Brain Tumor Center, University of California San Francisco, San Francisco, CA, USA
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15
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Demetz M, Mangesius J, Krigers A, Nevinny-Stickel M, Thomé C, Freyschlag CF, Kerschbaumer J. Tumor Location Impacts the Development of Radiation Necrosis in Benign Intracranial Tumors. Cancers (Basel) 2023; 15:4760. [PMID: 37835452 PMCID: PMC10571857 DOI: 10.3390/cancers15194760] [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: 07/31/2023] [Revised: 09/04/2023] [Accepted: 09/13/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Radiation necrosis (RN) is a possible late complication of stereotactic radiosurgery (SRS), but only a few risk factors are known. The aim of this study was to assess tumor location in correlation to the development of radiation necrosis for skull base (SB) and non-skull base tumors. METHODS All patients treated with radiosurgery for benign neoplasms (2004-2020) were retrospectively evaluated. The clinical, imaging and medication data were obtained and the largest axial tumor diameter was determined using MRI scans in T1-weighted imaging with gadolinium. The diagnosis of RN was established using imaging parameters. Patients with tumors located at the skull base were compared to patients with tumors in non-skull base locations. RESULTS 205 patients could be included. Overall, 157 tumors (76.6%) were located at the SB and compared to 48 (23.4%) non-SB tumors. Among SB tumors, the most common were vestibular schwannomas (125 cases) and meningiomas (21 cases). In total, 32 (15.6%) patients developed RN after a median of 10 (IqR 5-12) months. Moreover, 62 patients (30.2%) had already undergone at least one surgical resection. In multivariate Cox regression, SB tumors showed a significantly lower risk of radiation necrosis with a Hazard Ratio (HR) of 0.252, p < 0.001, independently of the applied radiation dose. Furthermore, higher radiation doses had a significant impact on the occurrence of RN (HR 1.372, p = 0.002). CONCLUSIONS The risk for the development of RN for SB tumors appears to be low but should not be underestimated. No difference was found between recurrent tumors and newly diagnosed tumors, which may support the value of radiosurgical treatment for patients with recurrent SB tumors.
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Affiliation(s)
- Matthias Demetz
- Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
| | - Julian Mangesius
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Aleksandrs Krigers
- Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
| | | | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
| | - Christian F Freyschlag
- Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
| | - Johannes Kerschbaumer
- Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
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Dadgar H, Vafaee MS, Khorasanchi A, Moghadam PK, Nemati R, Shooli H, Jafari E, Assadi M. Initial Experience of 18 F-FET PET-MR Image Fusion for Evaluation of Recurrent Primary Brain Tumors. World J Nucl Med 2023; 22:183-190. [PMID: 37854091 PMCID: PMC10581759 DOI: 10.1055/s-0043-1771282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023] Open
Abstract
Background An accurate monitoring technique is crucial in brain tumors to choose the best treatment approach after surgery and/or chemoradiation. Radiological assessment of brain tumors is widely based on the magnetic resonance imaging (MRI) modality in this regard; however, MRI criteria are unable to precisely differentiate tumoral tissue from treatment-related changes. This study was conducted to evaluate whether fused MRI and O-(2- 18 F-fluoroethyl)-L-tyrosine ( 18 F-FET) positron emission tomography (PET) can improve the diagnostic accuracy of the practitioners to discriminate treatment-related changes from true recurrence of brain tumor. Methods We retrospectively analyzed 18 F-FET PET/computed tomography (CT) of 11 patients with histopathologically proven brain tumors that were suspicious for recurrence changes after 3 to 4 months of surgery. All the patients underwent MRI and 18 F-FET PET/CT. As a third assessment, fused 18 F-FET PET/MRI was also acquired. Finally, the diagnostic accuracy of the applied modalities was compared. Results Eleven patients aged 27 to 73 years with a mean age of 47 ± 13 years were enrolled. According to the results, 9/11 cases (82%) showed positive MRI and 6 cases (55%) showed positive PET/CT and PET/MRI. Tumoral recurrence was observed in six patients (55%) in the follow-up period. Based on the follow-up results, accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 64, 85, 25, 67, and 50%, respectively, for MRI alone and 91, 85, 100, 100, and 80%, respectively, for both PET/CT and PET/MRI. Conclusion This study found that 18 F-FET PET-MR image fusion in the management of brain tumors might improve recurrence detection; however, further well-designed studies are needed to verify these preliminary data.
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Affiliation(s)
- Habibollah Dadgar
- Cancer Research Center, RAZAVI Hospital, Imam Reza International University, Mashhad, Iran
| | - Manouchehr Seyedi Vafaee
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Translational Neuroscience, BRIDGE, University of Southern Denmark, Odense, Denmark
- Department of Psychiatry, Odense University Hospital, Odense, Denmark
| | - Amirreza Khorasanchi
- Cancer Research Center, RAZAVI Hospital, Imam Reza International University, Mashhad, Iran
| | - Parastoo Kordestani Moghadam
- Social Determinants of Health Research Center (Division of Cognitive Neuroscience), Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Reza Nemati
- Department of Neurology, Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Hossein Shooli
- The Persian Gulf Nuclear Medicine Research Center, Department of Molecular Imaging and Radionuclide Therapy (MIRT), Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Esmail Jafari
- The Persian Gulf Nuclear Medicine Research Center, Department of Molecular Imaging and Radionuclide Therapy (MIRT), Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Majid Assadi
- The Persian Gulf Nuclear Medicine Research Center, Department of Molecular Imaging and Radionuclide Therapy (MIRT), Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
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Tijtgat J, Calliauw E, Dirven I, Vounckx M, Kamel R, Vanbinst AM, Everaert H, Seynaeve L, Van Den Berge D, Duerinck J, Neyns B. Low-Dose Bevacizumab for the Treatment of Focal Radiation Necrosis of the Brain (fRNB): A Single-Center Case Series. Cancers (Basel) 2023; 15:cancers15092560. [PMID: 37174026 PMCID: PMC10177060 DOI: 10.3390/cancers15092560] [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: 02/28/2023] [Revised: 04/17/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
Focal radiation necrosis of the brain (fRNB) is a late adverse event that can occur following the treatment of benign or malignant brain lesions with stereotactic radiation therapy (SRT) or stereotactic radiosurgery (SRS). Recent studies have shown that the incidence of fRNB is higher in cancer patients who received immune checkpoint inhibitors. The use of bevacizumab (BEV), a monoclonal antibody that targets the vascular endothelial growth factor (VEGF), is an effective treatment for fRNB when given at a dose of 5-7.5 mg/kg every two weeks. In this single-center retrospective case series, we investigated the effectiveness of a low-dose regimen of BEV (400 mg loading dose followed by 100 mg every 4 weeks) in patients diagnosed with fRNB. A total of 13 patients were included in the study; twelve of them experienced improvement in their existing clinical symptoms, and all patients had a decrease in the volume of edema on MRI scans. No clinically significant treatment-related adverse effects were observed. Our preliminary findings suggest that this fixed low-dose regimen of BEV can be a well-tolerated and cost-effective alternative treatment option for patients diagnosed with fRNB, and it is deserving of further investigation.
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Affiliation(s)
- Jens Tijtgat
- Department of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Evan Calliauw
- Department of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Iris Dirven
- Department of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Manon Vounckx
- Department of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Randa Kamel
- Department of Radiotherapy, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Anne Marie Vanbinst
- Department of Medical Imaging, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Hendrik Everaert
- Department of Nuclear Medicine, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Laura Seynaeve
- Department of Neurology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Dirk Van Den Berge
- Department of Radiotherapy, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Johnny Duerinck
- Department of Neurosurgery, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Bart Neyns
- Department of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
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18
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Smith EJ, Naik A, Shaffer A, Goel M, Krist DT, Liang E, Furey CG, Miller WK, Lawton MT, Barnett DH, Weis B, Rizk A, Smith RS, Hassaneen W. Differentiating radiation necrosis from tumor recurrence: a systematic review and diagnostic meta-analysis comparing imaging modalities. J Neurooncol 2023; 162:15-23. [PMID: 36853489 DOI: 10.1007/s11060-023-04262-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/07/2023] [Indexed: 03/01/2023]
Abstract
PURPSOSE Cerebral radiation necrosis (RN) is often a delayed phenomenon occurring several months to years after the completion of radiation treatment. Differentiating RN from tumor recurrence presents a diagnostic challenge on standard MRI. To date, no evidence-based guidelines exist regarding imaging modalities best suited for this purpose. We aim to review the current literature and perform a diagnostic meta-analysis comparing various imaging modalities that have been studied to differentiate tumor recurrence and RN. METHODS A systematic search adherent to PRISMA guidelines was performed using Scopus, PubMed/MEDLINE, and Embase. Pooled sensitivities and specificities were determined using a random-effects or fixed-effects proportional meta-analysis based on heterogeneity. Using diagnostic odds ratios, a diagnostic frequentist random-effects network meta-analysis was performed, and studies were ranked using P-score hierarchical ranking. RESULTS The analysis included 127 studies with a total of 220 imaging datasets, including the following imaging modalities: MRI (n = 10), MR Spectroscopy (MRS) (n = 28), dynamic contrast-enhanced MRI (n = 7), dynamic susceptibility contrast MRI (n = 36), MR arterial spin labeling (n = 5), diffusion-weighted imaging (n = 13), diffusion tensor imaging (DTI) (n = 2), PET (n = 89), and single photon emission computed tomography (SPECT) (n = 30). MRS had the highest pooled sensitivity (90.7%). DTI had the highest pooled specificity (90.5%). Our hierarchical ranking ranked SPECT and MRS as most preferable, and MRI was ranked as least preferable. CONCLUSION These findings suggest SPECT and MRS carry greater utility than standard MRI in distinguishing RN from tumor recurrence.
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Affiliation(s)
| | - Anant Naik
- Carle Illinois College of Medicine, Urbana, IL, USA
| | | | - Mahima Goel
- Carle Illinois College of Medicine, Urbana, IL, USA
| | | | - Edward Liang
- Carle Illinois College of Medicine, Urbana, IL, USA
| | - Charuta G Furey
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ, USA
| | - William K Miller
- Department of Neurosurgery, University of Illinois Peoria, Peoria, IL, USA
| | - Michael T Lawton
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Daniel H Barnett
- Department of Radiation Oncology, Carle Foundation Hospital, Urbana, IL, USA
| | - Blake Weis
- Department of Radiology, Carle Foundation Hospital, Urbana, IL, USA
| | - Ahmed Rizk
- Department of Neurosurgery, Hospital of the Merciful Brothers, Trier, Germany
| | - Ron S Smith
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - Wael Hassaneen
- Department of Neurosurgery, Carle Foundation Hospital, 610 N Lincoln Ave, Urbana, IL, 61801, USA.
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19
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The use of stereotactic MRI-guided laser interstitial thermal therapy for the treatment of pediatric cavernous malformations: the SUNY Upstate Golisano Children's Hospital experience. Childs Nerv Syst 2023; 39:417-424. [PMID: 36416952 DOI: 10.1007/s00381-022-05701-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 10/03/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE Cavernous malformations (CM) are central nervous system lesions characterized by interlaced vascular sinusoids coated with endothelial cells without intervening parenchyma. Magnetic resonance imaging-guided laser interstitial thermal therapy (MRIgLITT) is a minimally invasive treatment modality that can precisely treat pathologic cerebral tissue, making it an effective alternative for the management of cavernomas. We describe the outcomes of a series of pediatric patients with cavernous brain malformations treated with MRIgLITT between 2014 and 2018 at our institution. METHODS We retrospectively analyzed 11 cavernomas in 6 pediatric patients treated with MRIgLITT. Both the Visualase System® and/or Neuroblate® systems were used. A variation of the surgical technique on the application of the laser was developed. Post-ablation MRIs were obtained to assess ablated areas. RESULTS A total of 11 cavernomas in 6 patients were treated with MRIgLITT. Median age was 15 years (12 to 17 years); 75% were males. Presenting symptoms were headache (75%) and seizures (25%). Two patients presented with multiple CMs. All lesions in this study were supratentorial (cerebral hemispheres 81.8%, corpus callosum 9.1%, basal ganglia 9.1%). Our surgical technique was well-tolerated, with no significant adverse events observed. Hospital stay for all patients was less than 48 hours. CONCLUSION MRIgLITT is an effective minimally invasive technique for the treatment of pediatric CMs. It represents a useful and safe tool, when other therapeutic alternatives may represent a greater risk of surgical morbidity.
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20
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Ninatti G, Pini C, Gelardi F, Sollini M, Chiti A. The Role of PET Imaging in the Differential Diagnosis between Radiation Necrosis and Recurrent Disease in Irradiated Adult-Type Diffuse Gliomas: A Systematic Review. Cancers (Basel) 2023; 15:cancers15020364. [PMID: 36672314 PMCID: PMC9856914 DOI: 10.3390/cancers15020364] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/09/2023] Open
Abstract
Adult-type diffuse gliomas are treated with a multimodality treatment approach that includes radiotherapy both in the primary setting, and in the case of progressive or recurrent disease. Radiation necrosis represents a major complication of radiotherapy. Recurrent disease and treatment-related changes are often indistinguishable using conventional imaging methods. The present systematic review aims at assessing the diagnostic role of PET imaging using different radiopharmaceuticals in differentiating radiation necrosis and disease relapse in irradiated adult-type diffuse gliomas. We conducted a comprehensive literature search using the PubMed/MEDLINE and EMBASE databases for original research studies of interest. In total, 436 articles were assessed for eligibility. Ten original papers, published between 2014 and 2022, were selected. Four articles focused on [18F]FDG, seven on amino acid tracers ([18F]FET n = 3 and [11C]MET n = 4), one on [11C]CHO, and one on [68Ga]Ga-PSMA. Visual assessment, semi-quantitative methods, and radiomics were applied for image analysis. Furthermore, 2/10 papers were comparative studies investigating different radiopharmaceuticals. The present review, the first one on the topic in light of the new 2021 CNS WHO classification, highlighted the usefulness of PET imaging in distinguishing radiation necrosis and tumour recurrence, but revealed high heterogeneity among studies.
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Affiliation(s)
- Gaia Ninatti
- Residency Program in Nuclear Medicine, School of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy
| | - Cristiano Pini
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
| | - Fabrizia Gelardi
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
| | - Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
- Correspondence: ; Tel.: +39-0282245614
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
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21
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Singnurkar A, Poon R, Detsky J. 18F-FET-PET imaging in high-grade gliomas and brain metastases: a systematic review and meta-analysis. J Neurooncol 2023; 161:1-12. [PMID: 36502457 DOI: 10.1007/s11060-022-04201-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/16/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To provide a summary of the diagnostic performance of 18F-FET-PET in the management of patients with high-grade brain gliomas or metastases from extracranial primary malignancies. METHODS MEDLINE, EMBASE, and Cochrane Database of Systematic Reviews databases were searched for studies that reported on diagnostic test parameters in radiotherapy planning, response assessment, and tumour recurrence/treatment-related changes differentiation. Radiomic studies were excluded. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool and the GRADE approach. A bivariate, random-effects model was used to produce summary estimates of sensitivity and specificity. RESULTS Twenty-six studies with a total of 1206 patients/lesions were included in the analysis. For radiotherapy planning of glioma, the pooled proportion of patients from 3 studies with 18F-FET uptake extending beyond the 20 mm margin from the gadolinium enhancement on standard MRI was 39% (95% CI, 10-73%). In 3 studies, 18F-FET-PET was also shown to be predictive of early responders to treatment, whereas MRI failed to show any prognostic value. For the differentiation of glioma recurrence from treatment-related changes, the pooled sensitivity and specificity of TBRmax 1.9-2.3 from 6 studies were 91% (95% CI, 74-97%) and 84% (95% CI, 69-93%), respectively. The respective values for brain metastases from 4 studies were 82% (95% CI, 74-88%) and 82% (95% CI, 74-88%) using TBRmax 2.15-3.11. CONCLUSION While 18F-FET shows promise as a complementary modality to standard-of-care MRI for the management of primary and metastatic brain malignancies, further validation with standardized image interpretation methods in well-designed prospective studies are warranted.
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Affiliation(s)
- Amit Singnurkar
- Department of Medical Imaging, University of Toronto Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Raymond Poon
- Program in Evidence-Based Care, Ontario Health (Cancer Care Ontario), Department of Oncology, McMaster University McMaster University, Hamilton, ON, Canada. .,Program in Evidence-Based Care, Ontario Health (Cancer Care Ontario), Juravinski Hospital and Cancer Centre, G Wing, 2nd Floor, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
| | - Jay Detsky
- Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Canada
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22
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Mayo ZS, Halima A, Broughman JR, Smile TD, Tom MC, Murphy ES, Suh JH, Lo SS, Barnett GH, Wu G, Johnson S, Chao ST. Radiation necrosis or tumor progression? A review of the radiographic modalities used in the diagnosis of cerebral radiation necrosis. J Neurooncol 2023; 161:23-31. [PMID: 36633800 DOI: 10.1007/s11060-022-04225-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE Cerebral radiation necrosis is a complication of radiation therapy that can be seen months to years following radiation treatment. Differentiating radiation necrosis from tumor progression on standard magnetic resonance imaging (MRI) is often difficult and advanced imaging techniques may be needed to make an accurate diagnosis. The purpose of this article is to review the imaging modalities used in differentiating radiation necrosis from tumor progression following radiation therapy for brain metastases. METHODS We performed a review of the literature addressing the radiographic modalities used in the diagnosis of radiation necrosis. RESULTS Differentiating radiation necrosis from tumor progression remains a diagnostic challenge and advanced imaging modalities are often required to make a definitive diagnosis. If diagnostic uncertainty remains following conventional imaging, a multi-modality diagnostic approach with perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), single photon emission spectroscopy (SPECT), and radiomics may be used to improve diagnosis. CONCLUSION Several imaging modalities exist to aid in the diagnosis of radiation necrosis. Future studies developing advanced imaging techniques are needed.
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Affiliation(s)
- Zachary S Mayo
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Ahmed Halima
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - James R Broughman
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Timothy D Smile
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Martin C Tom
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Erin S Murphy
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - John H Suh
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Gene H Barnett
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.,Department of Neurosurgery, Cleveland Clinic, Cleveland, OH, USA
| | - Guiyun Wu
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Scott Johnson
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Samuel T Chao
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA. .,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
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23
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Henssen D, Meijer F, Verburg FA, Smits M. Challenges and opportunities for advanced neuroimaging of glioblastoma. Br J Radiol 2023; 96:20211232. [PMID: 36062962 PMCID: PMC10997013 DOI: 10.1259/bjr.20211232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 08/10/2022] [Accepted: 08/25/2022] [Indexed: 11/05/2022] Open
Abstract
Glioblastoma is the most aggressive of glial tumours in adults. On conventional magnetic resonance (MR) imaging, these tumours are observed as irregular enhancing lesions with areas of infiltrating tumour and cortical expansion. More advanced imaging techniques including diffusion-weighted MRI, perfusion-weighted MRI, MR spectroscopy and positron emission tomography (PET) imaging have found widespread application to diagnostic challenges in the setting of first diagnosis, treatment planning and follow-up. This review aims to educate readers with regard to the strengths and weaknesses of the clinical application of these imaging techniques. For example, this review shows that the (semi)quantitative analysis of the mentioned advanced imaging tools was found useful for assessing tumour aggressiveness and tumour extent, and aids in the differentiation of tumour progression from treatment-related effects. Although these techniques may aid in the diagnostic work-up and (post-)treatment phase of glioblastoma, so far no unequivocal imaging strategy is available. Furthermore, the use and further development of artificial intelligence (AI)-based tools could greatly enhance neuroradiological practice by automating labour-intensive tasks such as tumour measurements, and by providing additional diagnostic information such as prediction of tumour genotype. Nevertheless, due to the fact that advanced imaging and AI-diagnostics is not part of response assessment criteria, there is no harmonised guidance on their use, while at the same time the lack of standardisation severely hampers the definition of uniform guidelines.
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Affiliation(s)
- Dylan Henssen
- Department of Medical Imaging, Radboud university medical
center, Nijmegen, The Netherlands
| | - Frederick Meijer
- Department of Medical Imaging, Radboud university medical
center, Nijmegen, The Netherlands
| | - Frederik A. Verburg
- Department of Medical Imaging, Radboud university medical
center, Nijmegen, The Netherlands
| | - Marion Smits
- Department of Medical Imaging, Radboud university medical
center, Nijmegen, The Netherlands
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24
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Isohashi K, Kanai Y, Aihara T, Hu N, Fukushima K, Baba I, Hirokawa F, Kakino R, Komori T, Nihei K, Hatazawa J, Ono K. Exploration of the threshold SUV for diagnosis of malignancy using 18F-FBPA PET/CT. Eur J Hybrid Imaging 2022; 6:35. [DOI: 10.1186/s41824-022-00156-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/09/2022] [Indexed: 12/05/2022] Open
Abstract
Abstract
Background
The goal of the study was to evaluate the diagnostic ability of 18F-FBPA PET/CT for malignant tumors. Findings from 18F-FBPA and 18F-FDG PET/CT were compared with pathological diagnoses in patients with malignant tumors or benign lesions.
Methods
A total of 82 patients (45 males, 37 females; median age, 63 years; age range, 20–89 years) with various types of malignant tumors or benign lesions, such as inflammation and granulomas, were examined by 18F-FDG and 18F-FBPA PET/CT. Tumor uptake of FDG or FBPA was quantified using the maximum standardized uptake value (SUVmax). The final diagnosis was confirmed by cytopathology or histopathological findings of the specimen after biopsy or surgery. A ROC curve was constructed from the SUVmax values of each PET image, and the area under the curve (AUC) and cutoff values were calculated.
Results
The SUVmax for 18F-FDG PET/CT did not differ significantly for malignant tumors and benign lesions (10.9 ± 6.3 vs. 9.1 ± 2.7 P = 0.62), whereas SUVmax for 18F-FBPA PET/CT was significantly higher for malignant tumors (5.1 ± 3.0 vs. 2.9 ± 0.6, P < 0.001). The best SUVmax cutoffs for distinguishing malignant tumors from benign lesions were 11.16 for 18F-FDG PET/CT (sensitivity 0.909, specificity 0.390) and 3.24 for 18F-FBPA PET/CT (sensitivity 0.818, specificity 0.753). ROC analysis showed significantly different AUC values for 18F-FDG and 18F-FBPA PET/CT (0.547 vs. 0.834, p < 0.001).
Conclusion
18F-FBPA PET/CT showed superior diagnostic ability over 18F-FDG PET/CT in differential diagnosis of malignant tumors and benign lesions. The results of this study suggest that 18F-FBPA PET/CT diagnosis may reduce false-positive 18F-FDG PET/CT diagnoses.
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25
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Xu C, Shang Z, Najafi M. Lung Pneumonitis and Fibrosis in Cancer Therapy: A Review on Cellular and Molecular Mechanisms. Curr Drug Targets 2022; 23:1505-1525. [PMID: 36082868 DOI: 10.2174/1389450123666220907144131] [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: 06/09/2022] [Revised: 07/05/2022] [Accepted: 08/02/2022] [Indexed: 01/25/2023]
Abstract
Fibrosis and pneumonitis are the most important side effects of lung tissue following cancer therapy. Radiotherapy and chemotherapy by some drugs, such as bleomycin, can induce pneumonitis and fibrosis. Targeted therapy and immunotherapy also may induce pneumonitis and fibrosis to a lesser extent compared to chemotherapy and radiotherapy. Activation of lymphocytes by immunotherapy or infiltration of inflammatory cells such as macrophages, lymphocytes, neutrophils, and mast cells following chemo/radiation therapy can induce pneumonitis. Furthermore, the polarization of macrophages toward M2 cells and the release of anti-inflammatory cytokines stimulate fibrosis. Lung fibrosis and pneumonitis may also be potentiated by some other changes such as epithelial-mesenchymal transition (EMT), oxidative stress, reduction/oxidation (redox) responses, renin-angiotensin system, and the upregulation of some inflammatory mediators such as a nuclear factor of kappa B (NF-κB), inflammasome, cyclooxygenase-2 (COX-2), and inducible nitric oxide synthase (iNOS). Damages to the lung vascular system and the induction of hypoxia also can induce pulmonary injury following chemo/radiation therapy. This review explains various mechanisms of the induction of pneumonitis and lung fibrosis following cancer therapy. Furthermore, the targets and promising agents to mitigate lung fibrosis and pneumonitis will be discussed.
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Affiliation(s)
- Chaofeng Xu
- Zhuji People's Hospital of Zhejiang Province, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, Zhejiang, 311800, China
| | - Zhongtu Shang
- Zhuji People's Hospital of Zhejiang Province, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, Zhejiang, 311800, China
| | - Masoud Najafi
- Medical Technology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.,Radiology and Nuclear Medicine Department, School of Paramedical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran
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26
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Posttherapy technetium-99m pentavalent dimercaptosuccinic acid brain single-photon emission computed tomography/computed tomography: diagnostic and prognostic values in patients with glioma. Nucl Med Commun 2022; 43:1195-1203. [DOI: 10.1097/mnm.0000000000001623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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27
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Shi Z, Jiang J, Xie L, Zhao X. Efficacy evaluation of contrast-enhanced magnetic resonance imaging in differentiating glioma from metastatic tumor of the brain and exploration of its association with patients’ neurological function. Front Behav Neurosci 2022; 16:957795. [PMID: 36147544 PMCID: PMC9486092 DOI: 10.3389/fnbeh.2022.957795] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/10/2022] [Indexed: 11/26/2022] Open
Abstract
Objective To determine the efficacy of contrast-enhanced MRI in differentiating glioma (GL) from the metastatic tumor of the brain (MTB) and its association with patients’ neurological function. Methods A retrospective analysis was conducted on 49 cases of pathologically confirmed GL and 42 cases of MTB admitted between April 2019 and January 2022. All patients were examined by a set of MRI sequences that included T1WI, T2WI, FLAIR, and DWI. The values of fractional anisotropy (FA), apparent diffusion coefficient (ADC), and operation coefficient (Ktrans) were calculated by taking the tumor parenchyma area, cystic area, and peritumor edema area as the regions of interest (ROIs). And according to the Mini-mental state examination (MMSE) results, the contrast-enhanced MRI with patients’ neurological dysfunction was observed. Results The clinical symptoms and MRI findings of MTB and GL were basically the same, mainly showing neurological symptoms. The tumor parenchyma area and cystic area were mainly located in the tumor periphery and tumor central area, respectively, while the peritumor edema area was widely distributed, showing an irregular patchy edema zone. Contrast-enhanced scans suggested an obvious enhancement in the tumor parenchymal area, presenting with nodular and annular enhancement, but no enhancement in the tumor cystic and peritumor edema areas. There was no difference between GL and MTB in FA values of tumor cystic area and peritumor edema area (P > 0.05), but the FA value of the parenchyma area of GL was higher (P < 0.05). Besides, GL and MTB showed no difference in ADC and Ktrans values (P > 0.05), while the former presented lower ADC values and higher Ktrans values of the peritumor edema area than the latter (P < 0.05). In patients with GL and MTB, the FA and Ktrans values of all ROIs in those with neurological dysfunction were higher compared with those without neurological dysfunction, while the ADC values were lower (P < 0.05). Conclusion Contrast-enhanced MRI of peritumor edema area can effectively distinguish GL from MTB, and improve the accuracy of early clinical screening, thus providing more reliable life security for patients.
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Affiliation(s)
- Zhuo Shi
- Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiuming Jiang
- Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lizhi Xie
- GE Healthcare, MR Research China, Beijing, China
| | - Xinming Zhao
- Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Xinming Zhao,
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28
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Imber BS, Young RJ, Beal K, Reiner AS, Giantini-Larsen AM, Yang JT, Aramburu-Nunez D, Cohen GN, Brennan C, Tabar V, Moss NS. Salvage resection plus cesium-131 brachytherapy durably controls post-SRS recurrent brain metastases. J Neurooncol 2022; 159:609-618. [PMID: 35896906 PMCID: PMC9328626 DOI: 10.1007/s11060-022-04101-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/16/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Salvage of recurrent previously irradiated brain metastases (rBrM) is a significant challenge. Resection without adjuvant re-irradiation is associated with a high local failure rate, while reirradiation only partially reduces failure but is associated with greater radiation necrosis risk. Salvage resection plus Cs131 brachytherapy may offer dosimetric and biologic advantages including improved local control versus observation, with reduced normal brain dose versus re-irradiation, however data are limited. METHODS A prospective registry of consecutive patients with post-stereotactic radiosurgery (SRS) rBrM undergoing resection plus implantation of collagen-matrix embedded Cs131 seeds (GammaTile, GT Medical Technologies) prescribed to 60 Gy at 5 mm from the cavity was analyzed. RESULTS Twenty patients underwent 24 operations with Cs131 implantation in 25 tumor cavities. Median maximum preoperative diameter was 3.0 cm (range 1.1-6.3). Gross- or near-total resection was achieved in 80% of lesions. A median of 16 Cs131 seeds (range 6-30), with a median air-kerma strength of 3.5 U/seed were implanted. There was one postoperative wound dehiscence. With median follow-up of 1.6 years for survivors, two tumors recurred (one in-field, one marginal) resulting in 8.4% 1-year progression incidence (95%CI = 0.0-19.9). Radiographic seed settling was identified in 7/25 cavities (28%) 1.9-11.7 months post-implantation, with 1 case of distant migration (4%), without clinical sequelae. There were 8 cases of radiation necrosis, of which 4 were symptomatic. CONCLUSIONS With > 1.5 years of follow-up, intraoperative brachytherapy with commercially available Cs131 implants was associated with favorable local control and toxicity profiles. Weak correlation between preoperative tumor geometry and implanted tiles highlights a need to optimize planning criteria.
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Affiliation(s)
- Brandon S Imber
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert J Young
- Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Radiology, Neuroradiology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kathryn Beal
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anne S Reiner
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Jonathan T Yang
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Aramburu-Nunez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gil'ad N Cohen
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cameron Brennan
- Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viviane Tabar
- Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nelson S Moss
- Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Withofs N, Kumar R, Alavi A, Hustinx R. Facts and Fictions About [ 18F]FDG versus Other Tracers in Managing Patients with Brain Tumors: It Is Time to Rectify the Ongoing Misconceptions. PET Clin 2022; 17:327-342. [PMID: 35717096 DOI: 10.1016/j.cpet.2022.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
MRI is the first-choice imaging technique for brain tumors. Positron emission tomography can be combined together with multiparametric MRI to increase diagnostic confidence. Radiolabeled amino acids have gained wide clinical acceptance. The reported pooled specificity of [18F]FDG positron emission tomography is high and [18F]FDG might still be the first-choice positron emission tomography tracer in cases of World Health Organization grade 3 to 4 gliomas or [18F]FDG-avid tumors, avoiding the use of more expensive and less available radiolabeled amino acids. The present review discusses the additional value of positron emission tomography with a focus on [18F]FDG and radiolabeled amino acids.
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Affiliation(s)
- Nadia Withofs
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hopital, Avenue de l'hopital, 1, Liege 1 4000, Belgium; GIGA-CRC in vivo imaging, University of Liege, GIGA CHU - B34 Quartier Hôpital Avenue de l'Hôpital,11, 4000 Liège, Belgium.
| | - Rakesh Kumar
- Diagnostic Nuclear Medicine Division, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hopital, Avenue de l'hopital, 1, Liege 1 4000, Belgium; GIGA-CRC in vivo imaging, University of Liege, GIGA CHU - B34 Quartier Hôpital Avenue de l'Hôpital,11, 4000 Liège, Belgium
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30
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Li AY, Iv M. Conventional and Advanced Imaging Techniques in Post-treatment Glioma Imaging. FRONTIERS IN RADIOLOGY 2022; 2:883293. [PMID: 37492665 PMCID: PMC10365131 DOI: 10.3389/fradi.2022.883293] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/06/2022] [Indexed: 07/27/2023]
Abstract
Despite decades of advancement in the diagnosis and therapy of gliomas, the most malignant primary brain tumors, the overall survival rate is still dismal, and their post-treatment imaging appearance remains very challenging to interpret. Since the limitations of conventional magnetic resonance imaging (MRI) in the distinction between recurrence and treatment effect have been recognized, a variety of advanced MR and functional imaging techniques including diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), perfusion-weighted imaging (PWI), MR spectroscopy (MRS), as well as a variety of radiotracers for single photon emission computed tomography (SPECT) and positron emission tomography (PET) have been investigated for this indication along with voxel-based and more quantitative analytical methods in recent years. Machine learning and radiomics approaches in recent years have shown promise in distinguishing between recurrence and treatment effect as well as improving prognostication in a malignancy with a very short life expectancy. This review provides a comprehensive overview of the conventional and advanced imaging techniques with the potential to differentiate recurrence from treatment effect and includes updates in the state-of-the-art in advanced imaging with a brief overview of emerging experimental techniques. A series of representative cases are provided to illustrate the synthesis of conventional and advanced imaging with the clinical context which informs the radiologic evaluation of gliomas in the post-treatment setting.
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Affiliation(s)
- Anna Y. Li
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
| | - Michael Iv
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
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Park C, Buckley ED, Van Swearingen AED, Giles W, Herndon JE, Kirkpatrick JP, Anders CK, Floyd SR. Systemic Therapy Type and Timing Effects on Radiation Necrosis Risk in HER2+ Breast Cancer Brain Metastases Patients Treated With Stereotactic Radiosurgery. Front Oncol 2022; 12:854364. [PMID: 35669439 PMCID: PMC9163666 DOI: 10.3389/fonc.2022.854364] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/14/2022] [Indexed: 11/25/2022] Open
Abstract
Background There is a concern that HER2-directed systemic therapies, when administered concurrently with stereotactic radiosurgery (SRS), may increase the risk of radiation necrosis (RN). This study explores the impact of timing and type of systemic therapies on the development of RN in patients treated with SRS for HER2+ breast cancer brain metastasis (BCBrM). Methods This was a single-institution, retrospective study including patients >18 years of age with HER2+ BCBrM who received SRS between 2013 and 2018 and with at least 12-month post-SRS follow-up. Presence of RN was determined via imaging at one-year post-SRS, with confirmation by biopsy in some patients. Demographics, radiotherapy parameters, and timing (“during” defined as four weeks pre- to four weeks post-SRS) and type of systemic therapy (e.g., chemotherapy, HER2-directed) were evaluated. Results Among 46 patients with HER2+ BCBrM who received SRS, 28 (60.9%) developed RN and 18 (39.1%) did not based on imaging criteria. Of the 11 patients who underwent biopsy, 10/10 (100%) who were diagnosed with RN on imaging were confirmed to be RN positive on biopsy and 1/1 (100%) who was not diagnosed with RN was confirmed to be RN negative on biopsy. Age (mean 53.3 vs 50.4 years, respectively), radiotherapy parameters (including total dose, fractionation, CTV and size target volume, all p>0.05), and receipt of any type of systemic therapy during SRS (60.7% vs 55.6%, p=0.97) did not differ between patients who did or did not develop RN. However, there was a trend for patients who developed RN to have received more than one agent of HER2-directed therapy independent of SRS timing compared to those who did not develop RN (75.0% vs 44.4%, p=0.08). Moreover, a significantly higher proportion of those who developed RN received more than one agent of HER2-directed therapy during SRS treatment compared to those who did not develop RN (35.7% vs 5.6%, p=0.047). Conclusions Patients with HER2 BCBrM who receive multiple HER2-directed therapies during SRS for BCBrM may be at higher risk of RN. Collectively, these data suggest that, in the eight-week window around SRS administration, if HER2-directed therapy is medically necessary, it is preferable that patients receive a single agent.
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Affiliation(s)
- Christine Park
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Evan D. Buckley
- Duke Cancer Institute Biostatistics, Duke University Medical Center, Durham, NC, United States
| | - Amanda E. D. Van Swearingen
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Will Giles
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
| | - James E. Herndon
- Duke Cancer Institute Biostatistics, Duke University Medical Center, Durham, NC, United States
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States
| | - John P. Kirkpatrick
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Carey K. Anders
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Scott R. Floyd
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
- *Correspondence: Scott R. Floyd,
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Bodensohn R, Forbrig R, Quach S, Reis J, Boulesteix AL, Mansmann U, Hadi I, Fleischmann D, Mücke J, Holzgreve A, Albert N, Ruf V, Dorostkar M, Corradini S, Herms J, Belka C, Thon N, Niyazi M. MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy. ESMO Open 2022; 7:100424. [PMID: 35248822 PMCID: PMC9058918 DOI: 10.1016/j.esmoop.2022.100424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/26/2022] Open
Abstract
Background Pseudoprogression (PsP) or radiation necrosis (RN) may frequently occur after cranial radiotherapy and show a similar imaging pattern compared with progressive disease (PD). We aimed to evaluate the diagnostic accuracy of magnetic resonance imaging-based contrast clearance analysis (CCA) in this clinical setting. Patients and methods Patients with equivocal imaging findings after cranial radiotherapy were consecutively included into this monocentric prospective study. CCA was carried out by software-based automated subtraction of imaging features in late versus early T1-weighted sequences after contrast agent application. Two experienced neuroradiologists evaluated CCA with respect to PsP/RN and PD being blinded for histological findings. The radiological assessment was compared with the histopathological results, and its accuracy was calculated statistically. Results A total of 33 patients were included; 16 (48.5%) were treated because of a primary brain tumor (BT), and 17 (51.1%) because of a secondary BT. In one patient, CCA was technically infeasible. The accuracy of CCA in predicting the histological result was 0.84 [95% confidence interval (CI) 0.67-0.95; one-sided P = 0.051; n = 32]. Sensitivity and specificity of CCA were 0.93 (95% CI 0.66-1.00) and 0.78 (95% CI 0.52-0.94), respectively. The accuracy in patients with secondary BTs was 0.94 (95% CI 0.71-1.00) and nonsignificantly higher compared with patients with primary BT with an accuracy of 0.73 (95% CI 0.45-0.92), P = 0.16. Conclusions In this study, CCA was a highly accurate, easy, and helpful method for distinguishing PsP or RN from PD after cranial radiotherapy, especially in patients with secondary tumors after radiosurgical treatment. CCA is accurate in distinguishing treatment reactions from true PD. CCA was more accurate for irradiated metastases than primary BTs. CCA is not feasible for lesions with no contrast media uptake.
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Chiaravalloti A, Cimini A, Ricci M, Quartuccio N, Arnone G, Filippi L, Calabria F, Leporace M, Bagnato A, Schillaci O. Positron emission tomography imaging in primary brain tumors. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00042-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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34
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Machine Learning-Based Radiomics in Neuro-Oncology. ACTA NEUROCHIRURGICA. SUPPLEMENT 2021; 134:139-151. [PMID: 34862538 DOI: 10.1007/978-3-030-85292-4_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
In the last decades, modern medicine has evolved into a data-centered discipline, generating massive amounts of granular high-dimensional data exceeding human comprehension. With improved computational methods, machine learning and artificial intelligence (AI) as tools for data processing and analysis are becoming more and more important. At the forefront of neuro-oncology and AI-research, the field of radiomics has emerged. Non-invasive assessments of quantitative radiological biomarkers mined from complex imaging characteristics across various applications are used to predict survival, discriminate between primary and secondary tumors, as well as between progression and pseudo-progression. In particular, the application of molecular phenotyping, envisioned in the field of radiogenomics, has gained popularity for both primary and secondary brain tumors. Although promising results have been obtained thus far, the lack of workflow standardization and availability of multicenter data remains challenging. The objective of this review is to provide an overview of novel applications of machine learning- and deep learning-based radiomics in primary and secondary brain tumors and their implications for future research in the field.
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35
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Parent EE, Johnson DR, Gleason T, Villanueva-Meyer JE. Neuro-Oncology Practice Clinical Debate: FDG PET to differentiate glioblastoma recurrence from treatment-related changes. Neurooncol Pract 2021; 8:518-525. [PMID: 34594566 PMCID: PMC8475205 DOI: 10.1093/nop/npab027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The ability to accurately differentiate treatment-related changes (ie, pseudoprogression and radiation necrosis) from recurrent glioma remains a critical diagnostic problem in neuro-oncology. Because these entities are treated differently and have vastly different outcomes, accurate diagnosis is necessary to provide optimal patient care. In current practice, this diagnostic quandary commonly requires either serial imaging or histopathologic tissue confirmation. In this article, experts in the field debate the utility of 2-deoxy-2[18F]fluoro-d-glucose positron emission tomography (FDG PET) as an imaging tool to distinguish tumor recurrence from treatment-related changes in a patient with glioblastoma and progressive contrast enhancement on magnetic resonance (MR) following chemoradiotherapy.
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Affiliation(s)
- Ephraim E Parent
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | - Derek R Johnson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tyler Gleason
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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Palmisciano P, Haider AS, Nwagwu CD, Wahood W, Aoun SG, Abdullah KG, El Ahmadieh TY. Bevacizumab vs laser interstitial thermal therapy in cerebral radiation necrosis from brain metastases: a systematic review and meta-analysis. J Neurooncol 2021; 154:13-23. [PMID: 34218396 DOI: 10.1007/s11060-021-03802-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/28/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE Radiation necrosis (RN) represents a serious post-radiotherapy complication in patients with brain metastases. Bevacizumab and laser interstitial thermal therapy (LITT) are viable treatment options, but direct comparative data is scarce. We reviewed the literature to compare the two treatment strategies. METHODS PubMed, EMBASE, Scopus, and Cochrane databases were searched. All studies of patients with RN from brain metastases treated with bevacizumab or LITT were included. Treatment outcomes were analyzed using indirect meta-analysis with random-effect modeling. RESULTS Among the 18 studies included, 143 patients received bevacizumab and 148 underwent LITT. Both strategies were equally effective in providing post-treatment symptomatic improvement (P = 0.187, I2 = 54.8%), weaning off steroids (P = 0.614, I2 = 25.5%), and local lesion control (P = 0.5, I2 = 0%). Mean number of lesions per patient was not statistically significant among groups (P = 0.624). Similarly, mean T1-contrast-enhancing pre-treatment volumes were not statistically different (P = 0.582). Patterns of radiological responses differed at 6-month follow-ups, with rates of partial regression significantly higher in the bevacizumab group (P = 0.001, I2 = 88.9%), and stable disease significantly higher in the LITT group (P = 0.002, I2 = 81.9%). Survival rates were superior in the LITT cohort, and statistical significance was reached at 18 months (P = 0.038, I2 = 73.7%). Low rates of adverse events were reported in both groups (14.7% for bevacizumab and 12.2% for LITT). CONCLUSION Bevacizumab and LITT can be safe and effective treatments for RN from brain metastases. Clinical and radiological outcomes are mostly comparable, but LITT may relate with superior survival benefits in select patients. Further studies are required to identify the best patient candidates for each treatment group.
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Affiliation(s)
- Paolo Palmisciano
- Department of Neurosurgery, Trauma Center, Gamma Knife Center, Cannizzaro Hospital, Catania, Italy
| | - Ali S Haider
- Texas A&M University College of Medicine, Houston, TX, USA
| | | | - Waseem Wahood
- Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Davie, FL, USA
| | - Salah G Aoun
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Kalil G Abdullah
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Tarek Y El Ahmadieh
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
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Kim HY, Cho SJ, Sunwoo L, Baik SH, Bae YJ, Choi BS, Jung C, Kim JH. Classification of true progression after radiotherapy of brain metastasis on MRI using artificial intelligence: a systematic review and meta-analysis. Neurooncol Adv 2021; 3:vdab080. [PMID: 34377988 PMCID: PMC8350153 DOI: 10.1093/noajnl/vdab080] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background Classification of true progression from nonprogression (eg, radiation-necrosis) after stereotactic radiotherapy/radiosurgery of brain metastasis is known to be a challenging diagnostic task on conventional magnetic resonance imaging (MRI). The scope and status of research using artificial intelligence (AI) on classifying true progression are yet unknown. Methods We performed a systematic literature search of MEDLINE and EMBASE databases to identify studies that investigated the performance of AI-assisted MRI in classifying true progression after stereotactic radiotherapy/radiosurgery of brain metastasis, published before November 11, 2020. Pooled sensitivity and specificity were calculated using bivariate random-effects modeling. Meta-regression was performed for the identification of factors contributing to the heterogeneity among the studies. We assessed the quality of the studies using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) criteria and a modified version of the radiomics quality score (RQS). Results Seven studies were included, with a total of 485 patients and 907 tumors. The pooled sensitivity and specificity were 77% (95% CI, 70–83%) and 74% (64–82%), respectively. All 7 studies used radiomics, and none used deep learning. Several covariates including the proportion of lung cancer as the primary site, MR field strength, and radiomics segmentation slice showed a statistically significant association with the heterogeneity. Study quality was overall favorable in terms of the QUADAS-2 criteria, but not in terms of the RQS. Conclusion The diagnostic performance of AI-assisted MRI seems yet inadequate to be used reliably in clinical practice. Future studies with improved methodologies and a larger training set are needed.
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Affiliation(s)
- Hae Young Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Se Jin Cho
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Yun Jung Bae
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Byung Se Choi
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
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Cui M, Zorrilla-Veloz RI, Hu J, Guan B, Ma X. Diagnostic Accuracy of PET for Differentiating True Glioma Progression From Post Treatment-Related Changes: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:671867. [PMID: 34093419 PMCID: PMC8173157 DOI: 10.3389/fneur.2021.671867] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/24/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose: To evaluate the diagnostic accuracy of PET with different radiotracers and parameters in differentiating between true glioma progression (TPR) and post treatment-related change (PTRC). Methods: Studies on using PET to differentiate between TPR and PTRC were screened from the PubMed and Embase databases. By following the PRISMA checklist, the quality assessment of included studies was performed, the true positive and negative values (TP and TN), false positive and negative values (FP and FN), and general characteristics of all the included studies were extracted. Results of PET consistent with reference standard were defined as TP or TN. The pooled sensitivity (Sen), specificity (Spe), and hierarchical summary receiver operating characteristic curves (HSROC) were generated to evaluate the diagnostic accuracy. Results: The 33 included studies had 1,734 patients with 1,811 lesions suspected of glioma recurrence. Fifteen studies tested the accuracy of 18F-FET PET, 12 tested 18F-FDG PET, seven tested 11C-MET PET, and three tested 18F-DOPA PET. 18F-FET PET showed a pooled Sen and Spe of 0.88 (95% CI: 0.80, 0.93) and 0.78 (0.69, 0.85), respectively. In the subgroup analysis of FET-PET, diagnostic accuracy of high-grade gliomas (HGGs) was higher than that of mixed-grade gliomas (P interaction = 0.04). 18F-FDG PET showed a pooled Sen and Spe of 0.78 (95% CI: 0.71, 0.83) and 0.87 (0.80, 0.92), the Spe of the HGGs group was lower than that of the low-grade gliomas group (0.82 vs. 0.90, P = 0.02). 11C-MET PET had a pooled Sen and Spe of 0.92 (95% CI: 0.83, 0.96) and 0.78 (0.69, 0.86). 18F-DOPA PET had a pooled Sen and Spe of 0.85 (95% CI: 0.80, 0.89) and 0.70 (0.60, 0.79). FET-PET combined with MRI had a pooled Sen and Spe of 0.88 (95% CI: 0.78, 0.94) and 0.76 (0.57, 0.88). Multi-parameters analysis of FET-PET had pooled Sen and Spe values of 0.88 (95% CI: 0.81, 0.92) and 0.79 (0.63, 0.89). Conclusion: PET has a moderate diagnostic accuracy in differentiating between TPR and PTRC. The high Sen of amino acid PET and high Spe of FDG-PET suggest that the combination of commonly used FET-PET and FDG-PET may be more accurate and promising, especially for low-grade glioma.
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Affiliation(s)
- Meng Cui
- Medical School of Chinese People's Liberation Army, Beijing, China
- Department of Neurosurgery, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Rocío Isabel Zorrilla-Veloz
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- The University of Texas MD Anderson Cancer Centre UT Health Graduate School of Biomedical Sciences, Houston, TX, United States
| | - Jian Hu
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- The University of Texas MD Anderson Cancer Centre UT Health Graduate School of Biomedical Sciences, Houston, TX, United States
| | - Bing Guan
- Department of Health Economics, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xiaodong Ma
- Medical School of Chinese People's Liberation Army, Beijing, China
- Department of Neurosurgery, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
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Wang L, Wei L, Wang J, Li N, Gao Y, Ma H, Qu X, Zhang M. Evaluation of perfusion MRI value for tumor progression assessment after glioma radiotherapy: A systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e23766. [PMID: 33350761 PMCID: PMC7769293 DOI: 10.1097/md.0000000000023766] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 10/22/2020] [Accepted: 11/15/2020] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES This study aimed to evaluate the diagnostic performance of magnetic resonance perfusion-weighted imaging (PWI) as a noninvasive method to assess post-treatment radiation effect and tumor progression in patients with glioma. METHODS A systematic literature search was performed in the PubMed, Cochrane Library, and Embase databases up to March 2020. The quality of the included studies was assessed by the quality assessment of diagnostic accuracy studies 2. Data were extracted to calculate sensitivity, specificity, and diagnostic odds ratio (DOR), 95% Confidence interval (CI) and analyze the heterogeneity of the studies (Spearman correlation coefficient, I2 test). We performed meta-regression and subgroup analyses to identify the impact of study heterogeneity. RESULTS Twenty studies were included, with available data for analysis on 939 patients and 968 lesions. All included studies used dynamic susceptibility contrast (DSC) PWI, four also used dynamic contrast-enhanced PWI, and three also used arterial spin marker imaging PWI. When DSC was considered, the pooled sensitivity and specificity were 0.83 (95% CI, 0.79 to 0.86) and 0.83 (95% CI, 0.78 to 0.87), respectively; pooled DOR, 21.31 (95% CI, 13.07 to 34.73); area under the curve (AUC), 0.887; Q∗, 0.8176. In studies using dynamic contrast-enhanced, the pooled sensitivity and specificity were 0.73 (95% CI, 0.66 to 0.80) and 0.80 (95% CI, 0.69 to 0.88), respectively; pooled DOR, 10.83 (95% CI, 2.01 to 58.43); AUC, 0.9416; Q∗, 0.8795. In studies using arterial spin labeling, the pooled sensitivity and specificity were 0.79 (95% CI, 0.69 to 0.87) and 0.78 (95% CI, 0.67 to 0.87), respectively; pooled DOR, 15.63 (95% CI, 4.61 to 53.02); AUC, 0.8786; Q∗, 0.809. CONCLUSIONS Perfusion magnetic resonance imaging displays moderate overall accuracy in identifying post-treatment radiation effect and tumor progression in patients with glioma. Based on the current evidence, DSC-PWI is a relatively reliable option for assessing tumor progression after glioma radiotherapy.
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Affiliation(s)
| | - Lizhou Wei
- Department of neurosurgery, Xijing hospital, Fourth military medical university
| | | | - Na Li
- Department of radiology, Ninth Hospital of Xi’an
| | - Yanzhong Gao
- Department of radiology, Ninth Hospital of Xi’an
| | - Hongge Ma
- Department of radiology, Ninth Hospital of Xi’an
| | - Xinran Qu
- Department of radiology, Ninth Hospital of Xi’an
| | - Ming Zhang
- Department of Radiology, the First Affiliated Hospital of Xi ’an Jiao tong University, Shaanxi Province, China
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40
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Peker S, Samanci Y, Aygun MS, Yavuz F, Erden ME, Nokay AE, Atasoy Aİ, Bolukbasi Y. The Use of Treatment Response Assessment Maps in Discriminating Between Radiation Effect and Persistent Tumoral Lesion in Metastatic Brain Tumors Treated with Gamma Knife Radiosurgery. World Neurosurg 2020; 146:e1134-e1146. [PMID: 33253956 DOI: 10.1016/j.wneu.2020.11.114] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Traditional imaging modalities are not useful in the follow-up of irradiated metastatic brain tumors, because radiation can change imaging characteristics. We aimed to assess the ability of treatment response assessment maps (TRAMs) calculated from delayed-contrast magnetic resonance imaging (MRI) in differentiation between radiation effect and persistent tumoral tissue. METHODS TRAMs were calculated by subtracting three-dimensional T1 MRIs acquired 5 minutes after contrast injection from the images acquired 60-105 minutes later. Red areas were regarded as radiation effect and blue areas as persistent tumoral lesion. Thirty-seven patients with 130 metastatic brain tumors who were treated with Gamma Knife radiosurgery and who underwent TRAMs perfusion-weighted MRI were enrolled in this retrospective study. RESULTS The median age was 58 years and the most common primary diagnosis was lung cancer (n = 21). The median follow-up period of patients was 12 months. The overall local control rate was 100% at 1 year and 98.9% at 2 years. The median progression-free survival was 12 months. The mean overall survival was 27.3 months. The radiologic and clinical follow-up showed a clinicoradiologic diagnosis of a persistent tumoral lesion in 3 tumors (2.3%) and radiation effect in 127 tumors (97.7%). There was a fair agreement between clinicoradiologic diagnosis and TRAMs analysis (κ = 0.380). The sensitivity and positive predictive value of TRAMs in diagnosing radiation effect were 96.06% and 99.2%, respectively. TRAMs showed comparable results to perfusion-weighted MRI, with a diagnostic odds ratio of 27.4 versus 20.7, respectively. CONCLUSIONS The presented results show the ability of TRAMs in differentiating radiation effect and persistent tumoral lesions.
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Affiliation(s)
- Selcuk Peker
- Department of Neurosurgery, School of Medicine, Koç University, Istanbul, Turkey.
| | - Yavuz Samanci
- Department of Neurosurgery, Koç University Hospital, Istanbul, Turkey
| | - Murat Serhat Aygun
- Department of Radiology, School of Medicine, Koç University, Istanbul, Turkey
| | - Furkan Yavuz
- School of Medicine, Koç University, Istanbul, Turkey
| | | | | | - Ali İhsan Atasoy
- Department of Radiation Oncology, Koç University Hospital, Istanbul, Turkey
| | - Yasemin Bolukbasi
- Department of Radiation Oncology, School of Medicine, Koç University, Istanbul, Turkey
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Johnson GB, Harms HJ, Johnson DR, Jacobson MS. PET Imaging of Tumor Perfusion: A Potential Cancer Biomarker? Semin Nucl Med 2020; 50:549-561. [PMID: 33059824 DOI: 10.1053/j.semnuclmed.2020.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Perfusion, as measured by imaging, is considered a standard of care biomarker for the evaluation of many tumors. Measurements of tumor perfusion may be used in a number of ways, including improving the visual detection of lesions, differentiating malignant from benign findings, assessing aggressiveness of tumors, identifying ischemia and by extension hypoxia within tumors, and assessing treatment response. While most clinical perfusion imaging is currently performed with CT or MR, a number of methods for PET imaging of tumor perfusion have been described. The inert PET radiotracer 15O-water PET represents the recognized gold standard for absolute quantification of tissue perfusion in both normal tissue and a variety of pathological conditions including cancer. Other cancer PET perfusion imaging strategies include the use of radiotracers with high first-pass uptake, analogous to those used in cardiac perfusion PET. This strategy produces more visually pleasing high-contrast images that provide relative rather than absolute perfusion quantification. Lastly, multiple timepoint imaging of PET tracers such as 18F-FDG, are not specifically optimized for perfusion, but have advantages related to availability, convenience, and reimbursement. Multiple obstacles have thus far blocked the routine use of PET imaging for tumor perfusion, including tracer production and distribution, image processing, patient body coverage, clinical validation, regulatory approval and reimbursement, and finally feasible clinical workflows. Fortunately, these obstacles are being overcome, especially within larger imaging centers, opening the door for PET imaging of tumor perfusion to become standard clinical practice. In the foreseeable future, it is possible that whole-body PET perfusion imaging with 15O-water will be able to be performed in a single imaging session concurrent with standard PET imaging techniques such as 18F-FDG-PET. This approach could establish an efficient clinical workflow. The resultant ability to measure absolute tumor blood flow in combination with glycolysis will provide important complementary information to inform prognosis and clinical decisions.
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Affiliation(s)
- Geoffrey B Johnson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN; Department of Immunology, Mayo Clinic, Rochester, MN.
| | - Hendrik J Harms
- Department of Surgical Sciences, Nuclear Medicine, PET and Radiology, Uppsala University, Uppsala Sweden
| | - Derek R Johnson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN
| | - Mark S Jacobson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN
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Young RJ, Demétrio De Souza França P, Pirovano G, Piotrowski AF, Nicklin PJ, Riedl CC, Schwartz J, Bale TA, Donabedian PL, Kossatz S, Burnazi EM, Roberts S, Lyashchenko SK, Miller AM, Moss NS, Fiasconaro M, Zhang Z, Mauguen A, Reiner T, Dunphy MP. Preclinical and first-in-human-brain-cancer applications of [ 18F]poly (ADP-ribose) polymerase inhibitor PET/MR. Neurooncol Adv 2020; 2:vdaa119. [PMID: 33392502 PMCID: PMC7758909 DOI: 10.1093/noajnl/vdaa119] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background We report preclinical and first-in-human-brain-cancer data using a targeted poly (ADP-ribose) polymerase 1 (PARP1) binding PET tracer, [18F]PARPi, as a diagnostic tool to differentiate between brain cancers and treatment-related changes. Methods We applied a glioma model in p53-deficient nestin/tv-a mice, which were injected with [18F]PARPi and then sacrificed 1 h post-injection for brain examination. We also prospectively enrolled patients with brain cancers to undergo dynamic [18F]PARPi acquisition on a dedicated positron emission tomography/magnetic resonance (PET/MR) scanner. Lesion diagnosis was established by pathology when available or by Response Assessment in Neuro-Oncology (RANO) or RANO-BM response criteria. Resected tissue also underwent PARPi-FL staining and PARP1 immunohistochemistry. Results In a preclinical mouse model, we illustrated that [18F]PARPi crossed the blood–brain barrier and specifically bound to PARP1 overexpressed in cancer cell nuclei. In humans, we demonstrated high [18F]PARPi uptake on PET/MR in active brain cancers and low uptake in treatment-related changes independent of blood–brain barrier disruption. Immunohistochemistry results confirmed higher PARP1 expression in cancerous than in noncancerous tissue. Specificity was also corroborated by blocking fluorescent tracer uptake with an excess unlabeled PARP inhibitor in patient cancer biospecimen. Conclusions Although larger studies are necessary to confirm and further explore this tracer, we describe the promising performance of [18F]PARPi as a diagnostic tool to evaluate patients with brain cancers and possible treatment-related changes.
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Affiliation(s)
- Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Paula Demétrio De Souza França
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Otorhinolaryngology and Head and Neck Surgery, Federal University of São Paulo, São Paulo, Brazil
| | - Giacomo Pirovano
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anna F Piotrowski
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Philip J Nicklin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Christopher C Riedl
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jazmin Schwartz
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Tejus A Bale
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Patrick L Donabedian
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Susanne Kossatz
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Eva M Burnazi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sheryl Roberts
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Serge K Lyashchenko
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Alexandra M Miller
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nelson S Moss
- Department of Neurosurgery and Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Megan Fiasconaro
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Zhigang Zhang
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Audrey Mauguen
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Thomas Reiner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Weill Cornell Medical College, New York, New York, USA.,Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mark P Dunphy
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Soni N, Ora M, Mohindra N, Menda Y, Bathla G. Diagnostic Performance of PET and Perfusion-Weighted Imaging in Differentiating Tumor Recurrence or Progression from Radiation Necrosis in Posttreatment Gliomas: A Review of Literature. AJNR Am J Neuroradiol 2020; 41:1550-1557. [PMID: 32855194 DOI: 10.3174/ajnr.a6685] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/29/2020] [Indexed: 01/22/2023]
Abstract
Tumor resection followed by chemoradiation remains the current criterion standard treatment for high-grade gliomas. Regardless of aggressive treatment, tumor recurrence and radiation necrosis are 2 different outcomes. Differentiation of tumor recurrence from radiation necrosis remains a critical problem in these patients because of considerable overlap in clinical and imaging presentations. Contrast-enhanced MR imaging is the universal imaging technique for diagnosis, treatment evaluation, and detection of recurrence of high-grade gliomas. PWI and PET with novel radiotracers have an evolving role for monitoring treatment response in high-grade gliomas. In the literature, there is no clear consensus on the superiority of either technique or their complementary information. This review aims to elucidate the diagnostic performance of individual and combined use of functional (PWI) and metabolic (PET) imaging modalities to distinguish recurrence from posttreatment changes in gliomas.
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Affiliation(s)
- N Soni
- Department of Radiology (N.S., Y.M., G.B.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - M Ora
- Department of Radiodiagnosis (M.O., N.M.), Sanjay Gandhi Post Graduate Institute of Medical Sciences, Institute of Nuclear Medicine, Lucknow, India
| | - N Mohindra
- Department of Radiodiagnosis (M.O., N.M.), Sanjay Gandhi Post Graduate Institute of Medical Sciences, Institute of Nuclear Medicine, Lucknow, India
| | - Y Menda
- Department of Radiology (N.S., Y.M., G.B.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - G Bathla
- Department of Radiology (N.S., Y.M., G.B.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
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44
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Role of Radiological Intervention in Brain Tumor: A Meta-Analysis. Int Surg 2020. [DOI: 10.9738/intsurg-d-20-00014.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background
This meta-analysis highlights the diagnostic efficacy of computed tomography (CT), computed tomography angiography (CTA), magnetic resonance image (MRI), as well as magnetic resonance spectroscopy (MRS). This paper assesses the detection of the primary outcome comprising choline/creatine ratio, relative cerebral blood volume (rCBV), as well as choline/N-acetyl aspartate. Cochrane, Medline, ScienceDirect, Google Scholar, and EMBASE databases were searched for extracting the relevant studies.
Methods
A sample of 12 studies on radiologic assessment of brain tumors was selected.
Results
The evidence provides that the heterogeneity exists concerning the CBV of 311.623, I2 = 96.12%, with a significance value of P < 0.001. The pooled difference showed rCBV mean (as 2.18, 95% confidence interval = 0.85 to 3.50) substantially enhances lesion.
Conclusion
The study concluded that radiological interventions, particularly the combination of MRS and MRI, help in the brain patient's precise diagnosis and treatment.
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45
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Alemany M, Velasco R, Simó M, Bruna J. Late effects of cancer treatment: consequences for long-term brain cancer survivors. Neurooncol Pract 2020; 8:18-30. [PMID: 33664966 DOI: 10.1093/nop/npaa039] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Late adverse effects of cancer treatments represent a significant source of morbidity and also financial hardship among brain tumor patients. These effects can be produced by direct neurologic damage of the tumor and its removal, and/or by complementary treatments such as chemotherapy and radiotherapy, either alone or combined. Notably, young adults are the critical population that faces major consequences because the early onset of the disease may affect their development and socioeconomic status. The spectrum of these late adverse effects is large and involves multiple domains. In this review we classify the main long-term adverse effects into 4 sections: CNS complications, peripheral nervous system complications, secondary neoplasms, and Economic impact. In addition, CNS main complications are divided into nonfocal and focal symptoms. Owing to all the secondary effects mentioned, it is essential for physicians to have a high level of clinical suspicion to prevent and provide early intervention to minimize their impact.
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Affiliation(s)
- Montse Alemany
- Neuro-Oncology Unit, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), Barcelona, Spain
| | - Roser Velasco
- Neuro-Oncology Unit, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), Barcelona, Spain
| | - Marta Simó
- Neuro-Oncology Unit, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), Barcelona, Spain
| | - Jordi Bruna
- Neuro-Oncology Unit, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), Barcelona, Spain
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Stereotactic Radiotherapy for Brain Metastases: Imaging Tools and Dosimetric Predictive Factors for Radionecrosis. J Pers Med 2020; 10:jpm10030059. [PMID: 32635476 PMCID: PMC7565332 DOI: 10.3390/jpm10030059] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/21/2020] [Accepted: 07/02/2020] [Indexed: 12/29/2022] Open
Abstract
Radionecrosis (RN) is the most important side effect after stereotactic radiotherapy (SRT) for brain metastases, with a reported incidence ranging from 3% to 24%. To date, there are no unanimously accepted criteria for iconographic diagnosis of RN, as well as no definitive dose-constraints correlated with the onset of this late effect. We reviewed the current literature and gave an overview report on imaging options for the diagnosis of RN and on dosimetric parameters correlated with the onset of RN. We performed a PubMed literature search according to the preferred reporting items and meta-analysis (PRISMA) guidelines, and identified articles published within the last ten years, up to 31 December 2019. When analyzing data on diagnostic tools, perfusion magnetic resonance imaging (MRI) seems to be very useful allowing evaluation of the blood flow in the lesion using the relative cerebral blood volume (rCBV) and blood vessel integrity using relative peak weight (rPH). It is necessary to combine morphological with functional imaging in order to match information about lesion morphology, metabolism and blood-flow. Eventually, serial imaging follow-up is needed. Regarding dosimetric parameters, in radiosurgery (SRS) V12 < 8 cm3 and V10 < 10.5 cm3 of normal brain are the most reliable prognostic factors, whereas in hypo-fractionated stereotactic radiotherapy (HSRT) V18 and V21 are considered the main predictive independent risk factors of RN.
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Gao XY, Wang YD, Wu SM, Rui WT, Ma DN, Duan Y, Zhang AN, Yao ZW, Yang G, Yu YP. Differentiation of Treatment-Related Effects from Glioma Recurrence Using Machine Learning Classifiers Based Upon Pre-and Post-Contrast T1WI and T2 FLAIR Subtraction Features: A Two-Center Study. Cancer Manag Res 2020; 12:3191-3201. [PMID: 32440216 PMCID: PMC7213892 DOI: 10.2147/cmar.s244262] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/14/2020] [Indexed: 01/15/2023] Open
Abstract
Purpose We propose three support vector machine (SVM) classifiers, using pre-and post-contrast T2 fluid-attenuated inversion recovery (FLAIR) subtraction and/or pre-and post-contrast T1WI subtraction, to differentiate treatment-related effects (TRE) from glioma recurrence. Materials and Methods Fifty-six postoperative high-grade glioma patients with suspicious progression after radiotherapy and chemotherapy from two centers were studied. Pre-and post-contrast T1WI and T2 FLAIR were collected. Each pre-contrast image was voxel-wise subtracted from the co-registered post-contrast image. Dataset was randomly split into training, and testing on a 7:3 ratio, accordingly subjected to a five fold cross validation. Best feature subsets were selected by Pearson correlation coefficient and recursive feature elimination, whereupon a radiomics classifier was built with SVM. The discriminating performance was assessed with the area under receiver-operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Results In all, 186 features were extracted on each subtraction map. Top nine T1WI subtraction features, top thirteen T2 FLAIR subtraction features and top thirteen combination features were selected to build optimal SVM classifiers accordingly. The accuracies/AUCs/sensitivity/specificity/PPV/NPV of SVM based on sole T1WI subtraction were 80.00%/80.00% (CI: 0.5370–1.0000)/100%/70.00%/62.50%/100%. Those results of SVM based on sole T2 FLAIR subtraction were 86.67%/84.00% (CI: 0.5962–1.0000)/100%/80%/71.43%/100%. Those results of SVM based on both T1WI subtraction and T2 FLAIR subtraction were 93.33%/94.00% (CI: 0.7778–1.0000)/100%/90%/83.33%/100%, respectively. Conclusion Pre- and post-contrast T2 FLAIR subtraction provided added value for diagnosis between recurrence and TRE. SVM based on a combination of T1WI and T2 FLAIR subtraction maps was superior to the sole use of T1WI or T2 FLAIR for differentiating TRE from recurrence. The SVM classifier based on combination of pre-and post-contrast subtraction T2 FLAIR and T1WI imaging allowed for the accurate differential diagnosis of TRE from recurrence, which is of paramount importance for treatment management of postoperative glioma patients after radiation therapy.
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Affiliation(s)
- Xin-Yi Gao
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Yi-Da Wang
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, Shanghai, People's Republic of China
| | - Shi-Man Wu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Wen-Ting Rui
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - De-Ning Ma
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, People's Republic of China
| | - Yi Duan
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, Shanghai, People's Republic of China
| | - An-Ni Zhang
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Zhen-Wei Yao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Guang Yang
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, Shanghai, People's Republic of China
| | - Yan-Ping Yu
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
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Abstract
Radiation necrosis (RN) is a challenging potential complication of cranial radiation therapy. Believed to result from a complex interplay of vascular, glial, and immunologic factors, the exact mechanism of RN remains unclear. Patients who develop RN typically have a history of treatment with stereotactic radiation surgery or some other form of radiation-based therapy. The time frame for its development is variable, but it most often occurs one to three years following radiation therapy. Reported treatment doses capable of inducing radiation necrosis are variable, with higher doses per fraction more likely to induce RN. Furthermore, RN remains a challenging diagnosis for clinicians to make, as its presentation is often nonspecific and imaging studies might not clearly differentiate RN from tumor recurrence or pseudoprogression. RN is initially managed with corticosteroids, followed by bevacizumab, surgical resection, or laser interstitial thermal therapy if symptoms persist. In this review, we examine the literature regarding pathophysiology, incidence, imaging characteristics, and management strategies for radiation necrosis.
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Munshi A. Brain radionecrosis in the present multiagent systemic therapy era: Time to redefine brain radiotherapy tolerance? CANCER RESEARCH, STATISTICS, AND TREATMENT 2020. [DOI: 10.4103/crst.crst_63_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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50
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Treglia G, Muoio B, Trevisi G, Mattoli MV, Albano D, Bertagna F, Giovanella L. Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses. Int J Mol Sci 2019; 20:ijms20194669. [PMID: 31547109 PMCID: PMC6802483 DOI: 10.3390/ijms20194669] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/16/2019] [Accepted: 09/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Several meta-analyses reporting data on the diagnostic performance or prognostic value of positron emission tomography (PET) with different tracers in detecting brain tumors have been published so far. This review article was written to summarize the evidence-based data in these settings. Methods: We have performed a comprehensive literature search of meta-analyses published in the Cochrane library and PubMed/Medline databases (from inception through July 2019) about the diagnostic performance or prognostic value of PET with different tracers in patients with brain tumors. Results: We have summarized the results of 24 retrieved meta-analyses on the use of PET or PET/computed tomography (CT) with different tracers in brain tumors. The tracers included were: fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 methionine (11C-methionine), fluorine-18 fluoroethyltyrosine (18F-FET), fluorine-18 dihydroxyphenylalanine (18F-FDOPA), fluorine-18 fluorothymidine (18F-FLT), and carbon-11 choline (11C-choline). Evidence-based data demonstrated good diagnostic performance of PET with different tracers in detecting brain tumors, in particular, radiolabelled amino acid tracers showed the highest diagnostic performance values. All the PET tracers evaluated had significant prognostic value in patients with glioma. Conclusions: Evidence-based data showed a good diagnostic performance for some PET tracers in specific indications and significant prognostic value in brain tumors.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, CH-1011 Lausanne, Switzerland.
| | - Barbara Muoio
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
| | - Gianluca Trevisi
- Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, IT-65124 Pescara, Italy.
| | - Maria Vittoria Mattoli
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, IT-66100 Chieti, Italy.
| | - Domenico Albano
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Francesco Bertagna
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, CH-8091 Zurich, Switzerland.
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