151
|
Hassanzadeh C, Rao YJ, Chundury A, Rowe J, Ponisio MR, Sharma A, Miller-Thomas M, Tsien CI, Ippolito JE. Multiparametric MRI and [ 18F]Fluorodeoxyglucose Positron Emission Tomography Imaging Is a Potential Prognostic Imaging Biomarker in Recurrent Glioblastoma. Front Oncol 2017; 7:178. [PMID: 28868256 PMCID: PMC5563320 DOI: 10.3389/fonc.2017.00178] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 08/03/2017] [Indexed: 12/13/2022] Open
Abstract
Purpose/objectives Multiparametric advanced MR and [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET) imaging may be important biomarkers for prognosis as well for distinguishing recurrent glioblastoma multiforme (GBM) from treatment-related changes. Methods/materials We retrospectively evaluated 30 patients treated with chemoradiation for GBM and underwent advanced MR and FDG-PET for confirmation of tumor progression. Multiparametric MRI and FDG-PET imaging metrics were evaluated for their association with 6-month overall (OS) and progression-free survival (PFS) based on pathological, radiographic, and clinical criteria. Results 17 males and 13 females were treated between 2001 and 2014, and later underwent FDG-PET at suspected recurrence. Baseline FDG-PET and MRI imaging was obtained at a median of 7.5 months [interquartile range (IQR) 3.7–12.4] following completion of chemoradiation. Median follow-up after FDG-PET imaging was 10 months (IQR 7.2–13.0). Receiver-operator characteristic curve analysis identified that lesions characterized by a ratio of the SUVmax to the normal contralateral brain (SUVmax/NB index) >1.5 and mean apparent diffusion coefficient (ADC) value of ≤1,400 × 10−6 mm2/s correlated with worse 6-month OS and PFS. We defined three patient groups that predicted the probability of tumor progression: SUVmax/NB index >1.5 and ADC ≤1,400 × 10−6 mm2/s defined high-risk patients (n = 7), SUVmax/NB index ≤1.5 and ADC >1,400 × 10−6 mm2/s defined low-risk patients (n = 11), and intermediate-risk (n = 12) defined the remainder of the patients. Median OS following the time of the FDG-PET scan for the low, intermediate, and high-risk groups were 23.5, 10.5, and 3.8 months (p < 0.01). Median PFS were 10.0, 4.4, and 1.9 months (p = 0.03). Rates of progression at 6-months in the low, intermediate, and high-risk groups were 36, 67, and 86% (p = 0.04). Conclusion Recurrent GBM in the molecular era is associated with highly variable outcomes. Multiparametric MR and FDG-PET biomarkers may provide a clinically relevant, non-invasive and cost-effective method of predicting prognosis and improving clinical decision making in the treatment of patients with suspected tumor recurrence.
Collapse
Affiliation(s)
- Comron Hassanzadeh
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, MO, United States
| | - Yuan James Rao
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States
| | - Anupama Chundury
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States
| | - Jackson Rowe
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States
| | - Maria Rosana Ponisio
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States
| | - Akash Sharma
- Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, United States
| | - Michelle Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States
| | - Christina I Tsien
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States
| | - Joseph E Ippolito
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, United States.,Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States
| |
Collapse
|
152
|
Detection of residual metastatic tumor in the brain following Gamma Knife radiosurgery using a single or a series of magnetic resonance imaging scans: An autopsy study. Oncol Lett 2017; 14:2033-2040. [PMID: 28789434 PMCID: PMC5530089 DOI: 10.3892/ol.2017.6359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 03/24/2017] [Indexed: 11/05/2022] Open
Abstract
The aim of the present study was to investigate the usefulness of magnetic resonance image (MRI) for the detection of residual tumors following Gamma Knife radiosurgery (GKR) for brain metastases based on autopsy cases. The study investigated two hypotheses: i) Whether a single MRI may detect the existence of a tumor; and ii) whether a series of MRIs may detect the existence of a tumor. The study is a retrospective case series in a single institution. A total of 11 brain metastases in 6 patients were treated with GKR between 2002 and 2011. Histopathological specimens from autopsy were compared with reconstructed follow-up MRIs. The maximum diameters of the lesions on MRI series were measured, and the size changes classified. The primary sites in the patients were the kidneys (n=2), lung (n=1), breast (n=1) and colon (n=1), as well as 1 adenocarcinoma of unknown origin. The median prescribed dose for radiosurgery was 20 Gy (range, 18-20 Gy), and median time interval between GKR and autopsy was 10 months (range, 1.6-20 months). The pathological outcomes included 7 remissions and 4 failures. Enhanced areas on gadolinium-enhanced MRI contained various components: Viable tumor cells, tumor necrosis, hemorrhage, inflammation and vessels. Regarding the first hypothesis, it was impossible to distinguish pathological failure from remission with a single MRI scan due to the presence of various components. Conversely, in treatment response (remission or failure), on time-volume curves of MRI scans were in agreement with pathological findings, with the exception of progressive disease in the acute phase (0-3 months). Thus, regarding the second hypothesis, time-volume curves were useful for predicting treatment responses. In conclusion, it was difficult to predict treatment response using a single MRI, and a series of MRI scans were required to detect the existence of a tumor.
Collapse
|
153
|
Menoux I, Noël G, Namer I, Antoni D. TEP/tomodensitométrie et imagerie spectroscopique par résonance magnétique tridmensionnelle pour le diagnostic différentiel entre radionécrose cérébrale et rechute tumorale après irradiation en conditions stéréotaxiques de métastases cérébrales : place dans l’arbre décisionnel. Cancer Radiother 2017; 21:389-397. [DOI: 10.1016/j.canrad.2017.03.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 01/17/2017] [Accepted: 03/01/2017] [Indexed: 11/16/2022]
|
154
|
Morana G, Alves CA, Tortora D, Severino M, Nozza P, Cama A, Ravegnani M, D'Apolito G, Raso A, Milanaccio C, da Costa Leite C, Garrè ML, Rossi A. Added value of diffusion weighted imaging in pediatric central nervous system embryonal tumors surveillance. Oncotarget 2017; 8:60401-60413. [PMID: 28947980 PMCID: PMC5601148 DOI: 10.18632/oncotarget.19553] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 06/16/2017] [Indexed: 12/29/2022] Open
Abstract
Diffusion weighted imaging (DWI) has an established role in primary CNS embryonal tumor (ET) characterization; however, its diagnostic utility in detecting relapse has never been determined. We aimed to compare DWI and conventional MRI sensitivity in CNS ET recurrence detection, and to evaluate the DWI properties of contrast-enhancing radiation induced lesions (RIL). Fifty-six patients with CNS ET (25 with disease relapse, 6 with RIL and 25 with neither disease relapse nor RIL) were retrospectively evaluated with DWI, conventional MRI (including both T2/FLAIR and post-contrast images), or contrast-enhanced MR imaging (CE-MRI) alone. MRI studies were independently reviewed by two neuroradiologists for detection and localization of potential brain relapses. Sensitivity for focal relapse detection was calculated for each image set on a lesion-by-lesion basis. A descriptive per subject analysis was also performed. Evaluation of follow-up MRI studies served as standard of reference. Focal recurrence detection sensitivity of DWI (96%) was significantly higher than conventional MRI (77%) and CE-MRI alone (51%) (p=0.0003 and p<0.0001). On per subject analysis there were not missed diagnoses for DWI. At the time of DWI relapse detection, conventional MRI missed 2 diagnoses, and CE-MRI 8. Analysis of medulloblastoma relapses revealed that DWI identified a higher number of focal lesions than CE-MRI in subjects with classic variant. All but one RIL did not show restricted diffusion. In conclusion, DWI is a valuable complementary technique allowing for improved detection of focal relapse in CNS ET patients, particularly in children with classic medulloblastoma, and may assist in differentiating recurrence from RIL.
Collapse
Affiliation(s)
- Giovanni Morana
- Neuroradiology Unit, Istituto Giannina Gaslini, Genova, Italy
| | - Cesar Augusto Alves
- Neuroradiology Unit, Istituto Giannina Gaslini, Genova, Italy.,Radiology Institute, Hospital das Clinicas, Sao Paulo, Brazil
| | | | | | - Paolo Nozza
- Pathology Unit, Istituto Giannina Gaslini, Genova, Italy
| | - Armando Cama
- Neurosurgery Unit, Istituto Giannina Gaslini, Genova, Italy
| | | | | | | | | | | | | | - Andrea Rossi
- Neuroradiology Unit, Istituto Giannina Gaslini, Genova, Italy
| |
Collapse
|
155
|
Galante JR, Rodriguez F, Grossman SA, Strowd RE. Late post-treatment radiographic changes 3 years following chemoradiation for glioma: the importance of histopathology. CNS Oncol 2017; 6:195-201. [PMID: 28718307 PMCID: PMC6009212 DOI: 10.2217/cns-2016-0040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 01/18/2017] [Indexed: 11/21/2022] Open
Abstract
Treatment-related changes can mimic brain tumor progression both clinically and radiographically. Distinguishing these two entities represents a major challenge in neuro-oncology. No single imaging modality is capable of reliably achieving such distinction. While histopathology remains the gold standard, definitive pathological criteria are also lacking which can further complicate such cases. We report a patient with high-grade glioma who, after initially presenting with histopathologically confirmed pseudoprogression 10 months following treatment, re-presented 3 years following concurrent chemoradiation with clinical and radiographic changes that were most consistent with progressive disease but for which histopathology revealed treatment effects without active glioma. This case highlights the potential late onset of treatment-related changes and underscores the importance of histopathologic assessment even years following initial therapy.
Collapse
Affiliation(s)
- Joao R Galante
- Poznan University of Medical Sciences, 41 Jackowskiego Street, 60-512 Poznan, Poland
- Department of Oncology, Johns Hopkins University School of Medicine, 733 North Broadway Street, Baltimore, MD 21205, USA
| | - Fausto Rodriguez
- Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, David H. Koch Cancer Research Bldg II, 1550 Orleans Street, Room 1M16, Baltimore, MD 21287, USA
| | - Stuart A Grossman
- Medical Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, David H. Koch Cancer Research Bldg II, 1550 Orleans Street, Room 1M16, Baltimore, MD 21287, USA
| | - Roy E Strowd
- Department of Neurology and Internal Medicine, Section on Hematology and Oncology, Wake Forest School of Medicine, Winston Salem, NC 27157, USA
| |
Collapse
|
156
|
Hojjati M, Badve C, Garg V, Tatsuoka C, Rogers L, Sloan A, Faulhaber P, Ros PR, Wolansky LJ. Role of FDG-PET/MRI, FDG-PET/CT, and Dynamic Susceptibility Contrast Perfusion MRI in Differentiating Radiation Necrosis from Tumor Recurrence in Glioblastomas. J Neuroimaging 2017; 28:118-125. [PMID: 28718993 PMCID: PMC5811794 DOI: 10.1111/jon.12460] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 06/24/2017] [Accepted: 06/26/2017] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND AND PURPOSE To compare the utility of quantitative PET/MRI, dynamic susceptibility contrast (DSC) perfusion MRI (pMRI), and PET/CT in differentiating radiation necrosis (RN) from tumor recurrence (TR) in patients with treated glioblastoma multiforme (GBM). METHODS The study included 24 patients with GBM treated with surgery, radiotherapy, and temozolomide who presented with progression on imaging follow‐up. All patients underwent PET/MRI and pMRI during a single examination. Additionally, 19 of 24 patients underwent PET/CT on the same day. Diagnosis was established by pathology in 17 of 24 and by clinical/radiologic consensus in 7 of 24. For the quantitative PET/MRI and PET/CT analysis, a region of interest (ROI) was drawn around each lesion and within the contralateral white matter. Lesion to contralateral white matter ratios for relative maximum, mean, and median were calculated. For pMRI, lesion ROI was drawn on the cerebral blood volume (CBV) maps and histogram metrics were calculated. Diagnostic performance for each metric was assessed using receiver operating characteristic curve analysis and area under curve (AUC) was calculated. RESULTS In 24 patients, 28 lesions were identified. For PET/MRI, relative mean ≥ 1.31 resulted in AUC of .94 with both sensitivity and negative predictive values (NPVs) of 100%. For pMRI, CBV max ≥3.32 yielded an AUC of .94 with both sensitivity and NPV measuring 100%. The joint model utilizing r‐mean (PET/MRI) and CBV mode (pMRI) resulted in AUC of 1.0. CONCLUSION Our study demonstrates that quantitative PET/MRI parameters in combination with DSC pMRI provide the best diagnostic utility in distinguishing RN from TR in treated GBMs.
Collapse
Affiliation(s)
- Mojgan Hojjati
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Vasant Garg
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Curtis Tatsuoka
- Department of Neurology (Epidemiology), Case Western Reserve University, Cleveland, OH
| | - Lisa Rogers
- Department of Neurology, Neuro-oncology Program, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Andrew Sloan
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Peter Faulhaber
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Pablo R Ros
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Leo J Wolansky
- Department of Diagnostic Imaging, University of Connecticut School of Medicine, Farmington, CT
| |
Collapse
|
157
|
Vietheer JM, Rieger J, Wagner M, Senft C, Tichy J, Foerch C. Serum concentrations of glial fibrillary acidic protein (GFAP) do not indicate tumor recurrence in patients with glioblastoma. J Neurooncol 2017; 135:193-199. [PMID: 28717884 DOI: 10.1007/s11060-017-2565-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 07/13/2017] [Indexed: 02/03/2023]
Abstract
Recent studies identified serum concentrations of the astroglial protein glial fibrillary acidic protein (GFAP) to be indicative of glioblastoma (GBM) in patients with newly diagnosed space occupying cerebral mass lesions. Until now, no data is available whether GFAP serum concentrations decrease after first therapy and whether GFAP may be used as a predictor of survival and an indicator of tumor recurrence. In this prospective study, we included 44 patients with a single space occupying cerebral mass lesion suspicious for GBM. GBM was histopathologically proven in 33 cases. After initial therapy, patients were followed up until tumor recurrence (defined according to the RANO criteria) or death (maximum observation period 78 weeks). Blood was sampled on a regular basis, and GFAP serum levels were determined using an immunofluorescence assay. Prior to any intervention, 14 of the 33 GBM patients had elevated GFAP serum concentrations (median 0.25 µg/L, interquartile range 0.13-0.53), whereas only one out of 11 patients having other tumor entities revealed a slightly increased GFAP serum level (0.06 µg/L). Following surgery (i.e., biopsy, full or partial resection), all initially GFAP positive GBM patients showed decreased serum concentrations. During the follow-up period, we found a minimal GFAP increase in one patient only (0.04 µg/L; week 52), although 23 out of 31 available GBM patients developed tumor progression or died. No difference was found regarding the survival rate and the time to tumor recurrence between initially GFAP positive and GFAP negative GBM patients. In GBM patients, initially elevated GFAP serum concentrations decrease after the first diagnostic or therapeutic intervention. GFAP was not predictive for tumor recurrence.
Collapse
Affiliation(s)
- Julia-Mareen Vietheer
- Department of Neurology, Goethe University, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany
| | - Johannes Rieger
- Department of Neuro-Oncology, Goethe University, Frankfurt am Main, Germany.,Department of Neurology & Stroke, Hertie Institute for Clinical Brain Research, Eberhard-Karls University Tübingen, Tübingen, Germany
| | - Marlies Wagner
- Institute of Neuroradiology, Goethe University, Frankfurt am Main, Germany
| | - Christian Senft
- Department of Neurosurgery, Goethe University, Frankfurt am Main, Germany
| | - Julia Tichy
- Department of Neurology, Goethe University, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany. .,Department of Neuro-Oncology, Goethe University, Frankfurt am Main, Germany.
| | - Christian Foerch
- Department of Neurology, Goethe University, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany
| |
Collapse
|
158
|
Zhao J, Chen Y, Zhao Y, Yang S, Chen Z, Wu Y. Assessment of chemoradiotherapy response in glioma with magnetic resonance amide proton transfer imaging in a rodent model. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2017:541-543. [PMID: 29059929 DOI: 10.1109/embc.2017.8036881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Magnetic resonance amide proton transfer (APT) imaging has proved its potential for detecting tumors and evaluating treatment response by depicting chemical exchange saturation transfer effect between the endogenous protein/peptide amide proton and bulk water. However, conventional asymmetry analysis for APT effect measurement is susceptible to concomitant contributions, particular semisolid magnetic transfer (MT) and nuclear overhauser effect. In this study, dominant saturation transfer (ST) effects, including direct water saturation and MT, were estimated from a sum of two Lorentzian functions. APT effect was then quantified by subtracting the Z-spectrum with the two ST effects. Feasibility of the method in the assessment of glioma therapeutic response was investigated in a rodent model at 3 Tesla.
Collapse
|
159
|
Yoon RG, Kim HS, Koh MJ, Shim WH, Jung SC, Kim SJ, Kim JH. Differentiation of Recurrent Glioblastoma from Delayed Radiation Necrosis by Using Voxel-based Multiparametric Analysis of MR Imaging Data. Radiology 2017; 285:206-213. [PMID: 28535120 DOI: 10.1148/radiol.2017161588] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Purpose To assess a volume-weighted voxel-based multiparametric (MP) clustering method as an imaging biomarker to differentiate recurrent glioblastoma from delayed radiation necrosis. Materials and Methods The institutional review board approved this retrospective study and waived the informed consent requirement. Seventy-five patients with pathologic analysis-confirmed recurrent glioblastoma (n = 42) or radiation necrosis (n = 33) who presented with enlarged contrast material-enhanced lesions at magnetic resonance (MR) imaging after they completed concurrent chemotherapy and radiation therapy were enrolled. The diagnostic performance of the total MP cluster score was determined by using the area under the receiver operating characteristic curve (AUC) with cross-validation and compared with those of single parameter measurements (10% histogram cutoffs of apparent diffusion coefficient [ADC10] or 90% histogram cutoffs of normalized cerebral blood volume and initial time-signal intensity AUC). Results Receiver operating characteristic curve analysis showed that an AUC for differentiating recurrent glioblastoma from delayed radiation necrosis was highest in the total MP cluster score and lowest for ADC10 for both readers. The total MP cluster score had significantly better diagnostic accuracy than any single parameter (corrected P = .001-.039 for reader 1; corrected P = .005-.041 for reader 2). The total MP cluster score was the best predictor of recurrent glioblastoma (cross-validated AUCs, 0.942-0.946 for both readers), with a sensitivity of 95.2% for reader 1 and 97.6% for reader 2. Conclusion Quantitative analysis with volume-weighted voxel-based MP clustering appears to be superior to the use of single imaging parameters to differentiate recurrent glioblastoma from delayed radiation necrosis. © RSNA, 2017 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Ra Gyoung Yoon
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Ho Sung Kim
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Myeong Ju Koh
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Woo Hyun Shim
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Seung Chai Jung
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Sang Joon Kim
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| | - Jeong Hoon Kim
- From the Department of Radiology, Catholic Kwandong University College of Medicine, Catholic Kwandong University International St. Mary's Hospital, Incheon, Korea (R.G.Y.); Department of Radiology, Jeju National University Hospital, Jeju, Korea (M.J.G.); Department of Radiology and Research Institute of Radiology (H.S.K., W.H.S., S.C.J., S.J.K.) and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul 138-736, Korea
| |
Collapse
|
160
|
Zhang Y, Ma J, Iyengar P, Zhong Y, Wang J. A new CT reconstruction technique using adaptive deformation recovery and intensity correction (ADRIC). Med Phys 2017; 44:2223-2241. [PMID: 28380247 DOI: 10.1002/mp.12259] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 03/26/2017] [Accepted: 03/30/2017] [Indexed: 11/06/2022] Open
Abstract
PURPOSE Sequential same-patient CT images may involve deformation-induced and non-deformation-induced voxel intensity changes. An adaptive deformation recovery and intensity correction (ADRIC) technique was developed to improve the CT reconstruction accuracy, and to separate deformation from non-deformation-induced voxel intensity changes between sequential CT images. MATERIALS AND METHODS ADRIC views the new CT volume as a deformation of a prior high-quality CT volume, but with additional non-deformation-induced voxel intensity changes. ADRIC first applies the 2D-3D deformation technique to recover the deformation field between the prior CT volume and the new, to-be-reconstructed CT volume. Using the deformation-recovered new CT volume, ADRIC further corrects the non-deformation-induced voxel intensity changes with an updated algebraic reconstruction technique ("ART-dTV"). The resulting intensity-corrected new CT volume is subsequently fed back into the 2D-3D deformation process to further correct the residual deformation errors, which forms an iterative loop. By ADRIC, the deformation field and the non-deformation voxel intensity corrections are optimized separately and alternately to reconstruct the final CT. CT myocardial perfusion imaging scenarios were employed to evaluate the efficacy of ADRIC, using both simulated data of the extended-cardiac-torso (XCAT) digital phantom and experimentally acquired porcine data. The reconstruction accuracy of the ADRIC technique was compared to the technique using ART-dTV alone, and to the technique using 2D-3D deformation alone. The relative error metric and the universal quality index metric are calculated between the images for quantitative analysis. The relative error is defined as the square root of the sum of squared voxel intensity differences between the reconstructed volume and the "ground-truth" volume, normalized by the square root of the sum of squared "ground-truth" voxel intensities. In addition to the XCAT and porcine studies, a physical lung phantom measurement study was also conducted. Water-filled balloons with various shapes/volumes and concentrations of iodinated contrasts were put inside the phantom to simulate both deformations and non-deformation-induced intensity changes for ADRIC reconstruction. The ADRIC-solved deformations and intensity changes from limited-view projections were compared to those of the "gold-standard" volumes reconstructed from fully sampled projections. RESULTS For the XCAT simulation study, the relative errors of the reconstructed CT volume by the 2D-3D deformation technique, the ART-dTV technique, and the ADRIC technique were 14.64%, 19.21%, and 11.90% respectively, by using 20 projections for reconstruction. Using 60 projections for reconstruction reduced the relative errors to 12.33%, 11.04%, and 7.92% for the three techniques, respectively. For the porcine study, the corresponding results were 13.61%, 8.78%, and 6.80% by using 20 projections; and 12.14%, 6.91%, and 5.29% by using 60 projections. The ADRIC technique also demonstrated robustness to varying projection exposure levels. For the physical phantom study, the average DICE coefficient between the initial prior balloon volume and the new "gold-standard" balloon volumes was 0.460. ADRIC reconstruction by 21 projections increased the average DICE coefficient to 0.954. CONCLUSION The ADRIC technique outperformed both the 2D-3D deformation technique and the ART-dTV technique in reconstruction accuracy. The alternately solved deformation field and non-deformation voxel intensity corrections can benefit multiple clinical applications, including tumor tracking, radiotherapy dose accumulation, and treatment outcome analysis.
Collapse
Affiliation(s)
- You Zhang
- Department of Radiation Oncology, UT Southwestern Medical Center at Dallas, Dallas, TX, 75390, USA
| | - Jianhua Ma
- Department of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Puneeth Iyengar
- Department of Radiation Oncology, UT Southwestern Medical Center at Dallas, Dallas, TX, 75390, USA
| | - Yuncheng Zhong
- Department of Radiation Oncology, UT Southwestern Medical Center at Dallas, Dallas, TX, 75390, USA
| | - Jing Wang
- Department of Radiation Oncology, UT Southwestern Medical Center at Dallas, Dallas, TX, 75390, USA
| |
Collapse
|
161
|
Duan C, Perez-Torres CJ, Yuan L, Engelbach JA, Beeman SC, Tsien CI, Rich KM, Schmidt RE, Ackerman JJH, Garbow JR. Can anti-vascular endothelial growth factor antibody reverse radiation necrosis? A preclinical investigation. J Neurooncol 2017; 133:9-16. [PMID: 28425047 PMCID: PMC5548457 DOI: 10.1007/s11060-017-2410-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 04/03/2017] [Indexed: 01/16/2023]
Abstract
Anti-vascular endothelial growth factor (anti-VEGF) antibodies are a promising new treatment for late time-to-onset radiation-induced necrosis (RN). We sought to evaluate and validate the response to anti-VEGF antibody in a mouse model of RN. Mice were irradiated with the Leksell Gamma Knife Perfexion™ and then treated with anti-VEGF antibody, beginning at post-irradiation (PIR) week 8. RN progression was monitored via anatomic and diffusion MRI from weeks 4-12 PIR. Standard histology, using haematoxylin and eosin (H&E), and immunohistochemistry staining were used to validate the response to treatment. After treatment, both post-contrast T1-weighted and T2-weighted image-derived lesion volumes decreased (P < 0.001), while the lesion volumes for the control group increased. The abnormally high apparent diffusion coefficient (ADC) for RN also returned to the ADC range for normal brain following treatment (P < 0.001). However, typical RN pathology was still present histologically. Large areas of focal calcification were observed in ~50% of treated mouse brains. Additionally, VEGF and hypoxia-inducible factor 1-alpha (HIF-1α) were continually upregulated in both the anti-VEGF and control groups. Despite improvements observed radiographically following anti-VEGF treatment, lesions were not completely resolved histologically. The subsequent calcification and the continued upregulation of VEGF and HIF-1α merit further preclinical/clinical investigation.
Collapse
Affiliation(s)
- Chong Duan
- Department of Chemistry, Washington University, Saint Louis, MO, USA
| | - Carlos J Perez-Torres
- Department of Radiology, Washington University, Saint Louis, MO, USA
- School of Health Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Liya Yuan
- Department of Neurosurgery, Washington University, Saint Louis, MO, USA
| | - John A Engelbach
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - Scott C Beeman
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - Christina I Tsien
- Department of Radiation Oncology, Washington University, Saint Louis, MO, USA
| | - Keith M Rich
- Department of Neurosurgery, Washington University, Saint Louis, MO, USA
- Department of Radiation Oncology, Washington University, Saint Louis, MO, USA
| | - Robert E Schmidt
- Department of Pathology and Immunology, Washington University, Saint Louis, MO, USA
| | - Joseph J H Ackerman
- Department of Chemistry, Washington University, Saint Louis, MO, USA
- Department of Radiology, Washington University, Saint Louis, MO, USA
- Department of Medicine, Washington University, Saint Louis, MO, USA
- Alvin J Siteman Cancer Center, Washington University, Saint Louis, MO, USA
| | - Joel R Garbow
- Department of Radiology, Washington University, Saint Louis, MO, USA.
- Alvin J Siteman Cancer Center, Washington University, Saint Louis, MO, USA.
| |
Collapse
|
162
|
Rossi Espagnet MC, Pasquini L, Napolitano A, Cacchione A, Mastronuzzi A, Caruso R, Tomà P, Longo D. Magnetic resonance imaging patterns of treatment-related toxicity in the pediatric brain: an update and review of the literature. Pediatr Radiol 2017; 47:633-648. [PMID: 27933410 DOI: 10.1007/s00247-016-3750-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 09/23/2016] [Accepted: 11/02/2016] [Indexed: 02/07/2023]
Abstract
Treatment-related neurotoxicity is a potentially life-threatening clinical condition that can represent a diagnostic challenge. Differentiating diagnoses between therapy-associated brain injury and recurrent disease can be difficult, and the immediate recognition of neurotoxicity is crucial to providing correct therapeutic management, ensuring damage reversibility. For these purposes, the knowledge of clinical timing and specific treatment protocols is extremely important for interpreting MRI patterns. Neuroradiologic findings are heterogeneous and sometimes overlapping, representing the compounding effect of the different treatments. Moreover, MRI patterns can be acute, subacute or delayed and involve different brain regions, depending on (1) the mechanism of action of the specific medication and (2) which brain regions are selectively vulnerable to specific toxic effects. This review illustrates the most common radiologic appearance of radiotherapy, chemotherapy and medication-associated brain injury in children, with special focus on the application of advanced MRI techniques (diffusion, perfusion and proton spectroscopy) in the diagnosis of the underlying processes leading to brain toxicity.
Collapse
Affiliation(s)
- Maria Camilla Rossi Espagnet
- Neuroradiology Unit, Department of Imaging, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy.
| | - Luca Pasquini
- Neuroradiology Unit, Department of Imaging, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy.,NESMOS Department, Sant' Andrea Hospital, Sapienza University, Via di Grottarossa 1035, Rome, Italy
| | - Antonio Napolitano
- Enterprise Risk Management, Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonella Cacchione
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Angela Mastronuzzi
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Roberta Caruso
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Paolo Tomà
- Department of Imaging, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Daniela Longo
- Neuroradiology Unit, Department of Imaging, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy
| |
Collapse
|
163
|
Abstract
PET/MR imaging benefits neurologic clinical care and research by providing spatially and temporally matched anatomic MR imaging, advanced MR physiologic imaging, and metabolic PET imaging. MR imaging sequences and PET tracers can be modified to target physiology specific to a neurologic disease process, with applications in neurooncology, epilepsy, dementia, cerebrovascular disease, and psychiatric and neurologic research. Simultaneous PET/MR imaging provides efficient acquisition of multiple temporally matched datasets, and opportunities for motion correction and improved anatomic assignment of PET data. Current challenges include optimizing MR imaging-based attenuation correction and necessity for dual expertise in PET and MR imaging.
Collapse
Affiliation(s)
- Michelle M Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Campus Box 8131, St Louis, MO 63110, USA.
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Campus Box 8131, St Louis, MO 63110, USA
| |
Collapse
|
164
|
Stereotactic ablative radiation therapy for brain metastases with volumetric modulated arc therapy and flattening filter free delivery: feasibility and early clinical results. Radiol Med 2017; 122:676-682. [DOI: 10.1007/s11547-017-0768-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 04/12/2017] [Indexed: 12/14/2022]
|
165
|
Zhong J, Ferris MJ, Switchenko J, Press RH, Buchwald Z, Olson JJ, Eaton BR, Curran WJ, Shu HKG, Crocker IR, Patel KR. Postoperative stereotactic radiosurgery for resected brain metastases: A comparison of outcomes for large resection cavities. Pract Radiat Oncol 2017; 7:e419-e425. [PMID: 28668668 DOI: 10.1016/j.prro.2017.04.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 02/23/2017] [Accepted: 04/21/2017] [Indexed: 02/01/2023]
Abstract
PURPOSE Although historical trials have established the role of surgical resection followed by whole brain irradiation (WBRT) for brain metastases, WBRT has recently been shown to cause significant neurocognitive decline. Many practitioners have employed postoperative stereotactic radiosurgery (SRS) to tumor resection cavities to increase local control without causing significant neurocognitive sequelae. However, studies analyzing outcomes of large brain metastases treated with resection and postoperative SRS are lacking. Here we compare outcomes in patients with large brain metastases >4 cm to those with smaller metastases ≤4 cm treated with surgical resection followed by SRS to the resection cavity. METHODS AND MATERIALS Consecutive patients with brain metastases treated at our institution with surgical resection and postoperative SRS were retrospectively reviewed. Patients were stratified into ≤4 cm and >4 cm cohorts based on preoperative maximal tumor dimension. Cumulative incidence of local failure, radiation necrosis, and death were analyzed for the 2 cohorts using a competing-risk model, defined as the time from SRS treatment date to the measured event, death, or last follow-up. RESULTS A total of 117 consecutive cases were identified. Of these patients, 90 (77%) had preoperative tumors ≤4 cm, and 27 (23%) >4 cm in greatest dimension. The only significant baseline difference between the 2 groups was a higher proportion of patients who underwent gross total resection in the ≤4 cm compared with the >4 cm cohort, 76% versus 48%, respectively (P <.01). The 1-year rates of local failure, radiation necrosis, and overall survival for the ≤4 cm and >4 cm cohorts were 12.3% and 16.0%, 26.9% and 28.4%, and 80.6% and 67.6%, respectively (all P >.05). The rates of local failure and radiation necrosis were not statistically different on multivariable analysis based on tumor size. CONCLUSIONS Brain metastases >4 cm in largest dimension managed by resection and radiosurgery to the tumor cavity have promising local control rates without a significant increase in radiation necrosis on our retrospective review.
Collapse
Affiliation(s)
- Jim Zhong
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia.
| | - Matthew J Ferris
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Jeffrey Switchenko
- Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Robert H Press
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Zachary Buchwald
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Jeffrey J Olson
- Department of Neurosurgery, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Bree R Eaton
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Walter J Curran
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Ian R Crocker
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Kirtesh R Patel
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia; Department of Radiation Oncology, Veterans Affairs Hospital, Decatur, Georgia
| |
Collapse
|
166
|
Prabhu RS, Press RH, Patel KR, Boselli DM, Symanowski JT, Lankford SP, McCammon RJ, Moeller BJ, Heinzerling JH, Fasola CE, Asher AL, Sumrall AL, Buchwald ZS, Curran WJ, Shu HKG, Crocker I, Burri SH. Single-Fraction Stereotactic Radiosurgery (SRS) Alone Versus Surgical Resection and SRS for Large Brain Metastases: A Multi-institutional Analysis. Int J Radiat Oncol Biol Phys 2017; 99:459-467. [PMID: 28871997 DOI: 10.1016/j.ijrobp.2017.04.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 02/22/2017] [Accepted: 04/03/2017] [Indexed: 10/19/2022]
Abstract
PURPOSE Stereotactic radiosurgery (SRS) dose is limited by brain metastasis (BM) size. The study goal was to retrospectively determine whether there is a benefit for intracranial outcomes and overall survival (OS) for gross total resection with single-fraction SRS versus SRS alone for patients with large BMs. METHODS AND MATERIALS A large BM was defined as ≥4 cm3 (2 cm in diameter) prior to the study. We reviewed the records of consecutive patients treated with single-fraction SRS alone or surgery with preoperative or postoperative SRS between 2005 and 2013 from 2 institutions. RESULTS Overall, 213 patients with 223 treated large BMs were included; 66 BMs (30%) were treated with SRS alone and 157 (70%) with surgery and SRS (63 preoperatively and 94 postoperatively). The groups (SRS vs surgery and SRS) were well balanced except regarding lesion volume (median, 5.9 cm3 vs 9.6 cm3; P<.001), median number of BMs (1.5 vs 1, P=.002), median SRS dose (18 Gy vs 15 Gy, P<.001), and prior whole-brain radiation therapy (33% vs 5%, P<.001). The local recurrence (LR) rate was significantly lower with surgery and SRS (1-year LR rate, 36.7% vs 20.5%; P=.007). There was no difference in radiation necrosis (RN) by resection status, but there was a significantly increased RN rate with postoperative SRS versus with preoperative SRS and with SRS alone (1-year RN rate, 22.6% vs 5% and 12.3%, respectively; P<.001). OS was significantly higher with surgery and SRS (2-year OS rate, 38.9% vs 19.8%; P=.01). Both multivariate adjusted analyses and propensity score-matched analyses demonstrated similar results. CONCLUSIONS In this retrospective study, gross total resection with SRS was associated with significantly reduced LR compared with SRS alone for patients with large BMs. Postoperative SRS was associated with the highest rate of RN. Surgical resection with SRS may improve outcomes in patients with a limited number of large BMs compared with SRS alone. Further studies are warranted.
Collapse
Affiliation(s)
- Roshan S Prabhu
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina.
| | - Robert H Press
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Kirtesh R Patel
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Danielle M Boselli
- Department of Cancer Biostatistics, Levine Cancer Institute, Carolinas HealthCare System, Charlotte, North Carolina
| | - James T Symanowski
- Department of Cancer Biostatistics, Levine Cancer Institute, Carolinas HealthCare System, Charlotte, North Carolina
| | - Scott P Lankford
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| | - Robert J McCammon
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| | - Benjamin J Moeller
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| | - John H Heinzerling
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| | - Carolina E Fasola
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| | - Anthony L Asher
- Carolina Neurosurgery and Spine Associates, Levine Cancer Institute, Charlotte, North Carolina
| | - Ashley L Sumrall
- Department of Oncology, Levine Cancer Institute, Carolinas HealthCare System, Charlotte, North Carolina
| | - Zachary S Buchwald
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Walter J Curran
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Hui-Kuo G Shu
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Ian Crocker
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Stuart H Burri
- Southeast Radiation Oncology Group, Levine Cancer Institute, Charlotte, North Carolina
| |
Collapse
|
167
|
Sheikh Z, Anadani N, Raval B, Sharer L, Hillen M. Clinical Reasoning: Corpus callosum lesion with multiple strokes. Neurology 2017; 88:e137-e142. [PMID: 28373375 DOI: 10.1212/wnl.0000000000003797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Zubeda Sheikh
- From the Departments of Neurology (Z.S., N.A., B.R., M.H.) and Pathology (L.S.), Rutgers New Jersey Medical School, Newark, NJ.
| | - Nidhiben Anadani
- From the Departments of Neurology (Z.S., N.A., B.R., M.H.) and Pathology (L.S.), Rutgers New Jersey Medical School, Newark, NJ
| | - Bhrugav Raval
- From the Departments of Neurology (Z.S., N.A., B.R., M.H.) and Pathology (L.S.), Rutgers New Jersey Medical School, Newark, NJ
| | - Leroy Sharer
- From the Departments of Neurology (Z.S., N.A., B.R., M.H.) and Pathology (L.S.), Rutgers New Jersey Medical School, Newark, NJ
| | - Machteld Hillen
- From the Departments of Neurology (Z.S., N.A., B.R., M.H.) and Pathology (L.S.), Rutgers New Jersey Medical School, Newark, NJ
| |
Collapse
|
168
|
Abstract
The imaging of treated gliomas is complicated by a variety of treatment related effects, which can falsely simulate disease improvement or progression. Distinguishing between disease progression and treatment effects is difficult with standard MR imaging pulse sequences and added specificity can be gained by the addition of advanced imaging techniques.
Collapse
Affiliation(s)
- Mark F Dalesandro
- Department of Radiology, Harborview Medical Center, University of Washington, Box 357115, 1959 Northeast Pacific Street, NW011, Seattle, WA 98195-7115, USA
| | - Jalal B Andre
- Department of Radiology, Harborview Medical Center, University of Washington, Box 357115, 1959 Northeast Pacific Street, NW011, Seattle, WA 98195-7115, USA.
| |
Collapse
|
169
|
Liu ZC, Yan LF, Hu YC, Sun YZ, Tian Q, Nan HY, Yu Y, Sun Q, Wang W, Cui GB. Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial. BMC Med Imaging 2017; 17:10. [PMID: 28143434 PMCID: PMC5286785 DOI: 10.1186/s12880-017-0183-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 01/25/2017] [Indexed: 12/20/2022] Open
Abstract
Background Standard therapy for Glioblastoma multiforme (GBM) involves maximal safe tumor resection followed with radiotherapy and concurrent adjuvant temozolomide. About 20 to 30% patients undergoing their first post-radiation MRI show increased contrast enhancement which eventually recovers without any new treatment. This phenomenon is referred to as pseudoprogression. Differentiating tumor progression from pseudoprogression is critical for determining tumor treatment, yet this capacity remains a challenge for conventional magnetic resonance imaging (MRI). Thus, a prospective diagnostic trial has been established that utilizes multimodal MRI techniques to detect tumor progression at its early stage. The purpose of this trial is to explore the potential role of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and three-dimensional arterial spin labeling imaging (3D-ASL) in differentiating true progression from pseudoprogression of GBM. In addition, the diagnostic performance of quantitative parameters obtained from IVIM-DWI and 3D-ASL, including apparent diffusion coefficient (ADC), slow diffusion coefficient (D), fast diffusion coefficient (D*), perfusion fraction (f), and cerebral blood flow (CBF), will be evaluated. Methods Patients that recently received a histopathological diagnosis of GBM at our hospital are eligible for enrollment. The patients selected will receive standard concurrent chemoradiotherapy and adjuvant temozolomide after surgery, and then will undergo conventional MRI, IVIM-DWI, 3D-ASL, and contrast-enhanced MRI. The quantitative parameters, ADC, D, D*, f, and CBF, will be estimated for newly developed enhanced lesions. Further comparisons will be made with unpaired t-tests to evaluate parameter performance in differentiating true progression from pseudoprogression, while receiver-operating characteristic (ROC) analyses will determine the optimal thresholds, as well as sensitivity and specificity. Finally, relationships between these parameters will be assessed with Pearson’s correlation and partial correlation analyses. Discussion The results of this study may demonstrate the potential value of using multimodal MRI techniques to differentiate true progression from pseudoprogression in its early stages to help decision making in early intervention and improve the prognosis of GBM. Trial registration This study has been registered at ClinicalTrials.gov (NCT02622620) on November 18, 2015 and published on March 28, 2016.
Collapse
Affiliation(s)
- Zhi-Cheng Liu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Lin-Feng Yan
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Yu-Chuan Hu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Ying-Zhi Sun
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Qiang Tian
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Hai-Yan Nan
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Ying Yu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Qian Sun
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China
| | - Wen Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
| | - Guang-Bin Cui
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
| |
Collapse
|
170
|
Advanced MRI assessment to predict benefit of anti-programmed cell death 1 protein immunotherapy response in patients with recurrent glioblastoma. Neuroradiology 2017; 59:135-145. [PMID: 28070598 DOI: 10.1007/s00234-016-1769-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 11/18/2016] [Indexed: 12/22/2022]
Abstract
INTRODUCTION We describe the imaging findings encountered in GBM patients receiving immune checkpoint blockade and assess the potential of quantitative MRI biomarkers to differentiate patients who derive therapeutic benefit from those who do not. METHODS A retrospective analysis was performed on longitudinal MRIs obtained on recurrent GBM patients enrolled on clinical trials. Among 10 patients with analyzable data, bidirectional diameters were measured on contrast enhanced T1 (pGd-T1WI) and volumes of interest (VOI) representing measurable abnormality suggestive of tumor were selected on pGdT1WI (pGdT1 VOI), FLAIR-T2WI (FLAIR VOI), and ADC maps. Intermediate ADC (IADC) VOI represented voxels within the FLAIR VOI having ADC in the range of highly cellular tumor (0.7-1.1 × 10-3 mm2/s) (IADC VOI). Therapeutic benefit was determined by tissue pathology and survival on trial. IADC VOI, pGdT1 VOI, FLAIR VOI, and RANO assessment results were correlated with patient benefit. RESULTS Five patients were deemed to have received therapeutic benefit and the other five patients did not. The average time on trial for the benefit group was 194 days, as compared to 81 days for the no benefit group. IADC VOI correlated well with the presence or absence of clinical benefit in 10 patients. Furthermore, pGd VOI, FLAIR VOI, and RANO assessment correlated less well with response. CONCLUSION MRI reveals an initial increase in volumes of abnormal tissue with contrast enhancement, edema, and intermediate ADC suggesting hypercellularity within the first 0-6 months of immunotherapy. Subsequent stabilization and improvement in IADC VOI appear to better predict ultimate therapeutic benefit from these agents than conventional imaging.
Collapse
|
171
|
Patel KR, Burri SH, Boselli D, Symanowski JT, Asher AL, Sumrall A, Fraser RW, Press RH, Zhong J, Cassidy RJ, Olson JJ, Curran WJ, Shu HKG, Crocker IR, Prabhu RS. Comparing pre-operative stereotactic radiosurgery (SRS) to post-operative whole brain radiation therapy (WBRT) for resectable brain metastases: a multi-institutional analysis. J Neurooncol 2016; 131:611-618. [PMID: 28000105 DOI: 10.1007/s11060-016-2334-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 11/12/2016] [Indexed: 12/11/2022]
Abstract
Pre-operative stereotactic radiosurgery (pre-SRS) has been shown as a viable treatment option for resectable brain metastases (BM). The aim of this study is to compare oncologic outcomes and toxicities for pre-SRS and post-operative WBRT (post-WBRT) for resectable BM. We reviewed records of consecutive patients who underwent resection of BM and either pre-SRS or post-WBRT between 2005 and 2013 at two institutions. Overall survival (OS) was calculated using the Kaplan-Meier method. Cumulative incidence was used for intracranial outcomes. Multivariate analysis (MVA) was performed using the Cox and Fine and Gray models, respectively. Overall, 102 patients underwent surgical resection of BM; 66 patients with 71 lesions received pre-SRS while 36 patients with 42 cavities received post-WBRT. Baseline characteristics were similar except for the pre-SRS cohort having more single lesions (65.2% vs. 38.9%, p = 0.001) and smaller median lesion volume (8.3 cc vs. 15.3 cc, p = 0.006). 1-year OS was similar between cohorts (58% vs. 56%, respectively) (p = 0.43). Intracranial outcomes were also similar (2-year outcomes, pre-SRS vs. post-WBRT): local recurrence: 24.5% vs. 25% (p = 0.81), distant brain failure (DBF): 53.2% vs. 45% (p = 0.66), and leptomeningeal disease (LMD) recurrence: 3.5% vs. 9.0% (p = 0.66). On MVA, radiation cohort was not independently associated with OS or any intracranial outcome. Crude rates of symptomatic radiation necrosis were 5.6 and 0%, respectively. OS and intracranial outcomes were similar for patients treated with pre-SRS or post-WBRT for resected BM. Pre-SRS is a viable alternative to post-WBRT for resected BM. Further confirmatory studies with neuro-cognitive outcomes comparing these two treatment paradigms are needed.
Collapse
Affiliation(s)
- Kirtesh R Patel
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA.
| | - Stuart H Burri
- Southeast Radiation Oncology Group, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - Danielle Boselli
- Department of Cancer Biostatistics, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - James T Symanowski
- Department of Cancer Biostatistics, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - Anthony L Asher
- Carolina Neurosurgery and Spine Associates, Levine Cancer Institute, Charlotte, NC, USA
| | - Ashley Sumrall
- Department of Oncology, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - Robert W Fraser
- Southeast Radiation Oncology Group, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - Robert H Press
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Jim Zhong
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Richard J Cassidy
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Jeffrey J Olson
- Department of Neurosurgery and Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Walter J Curran
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Ian R Crocker
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, 1365 Clifton Rd NE, Room AT225, Atlanta, GA, 30322, USA
| | - Roshan S Prabhu
- Southeast Radiation Oncology Group, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| |
Collapse
|
172
|
Galldiks N, Law I, Pope WB, Arbizu J, Langen KJ. The use of amino acid PET and conventional MRI for monitoring of brain tumor therapy. Neuroimage Clin 2016; 13:386-394. [PMID: 28116231 PMCID: PMC5226808 DOI: 10.1016/j.nicl.2016.12.020] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 12/09/2016] [Accepted: 12/16/2016] [Indexed: 12/03/2022]
Abstract
Routine diagnostics and treatment monitoring of brain tumors is usually based on contrast-enhanced MRI. However, the capacity of conventional MRI to differentiate tumor tissue from posttherapeutic effects following neurosurgical resection, chemoradiation, alkylating chemotherapy, radiosurgery, and/or immunotherapy may be limited. Metabolic imaging using PET can provide relevant additional information on tumor metabolism, which allows for more accurate diagnostics especially in clinically equivocal situations. This review article focuses predominantly on the amino acid PET tracers 11C-methyl-l-methionine (MET), O-(2-[18F]fluoroethyl)-l-tyrosine (FET) and 3,4-dihydroxy-6-[18F]-fluoro-l-phenylalanine (FDOPA) and summarizes investigations regarding monitoring of brain tumor therapy.
Collapse
Affiliation(s)
- Norbert Galldiks
- Dept. of Neurology, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Cologne, Germany
| | - Ian Law
- Dept.of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Whitney B. Pope
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | - Javier Arbizu
- Dept. of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
- Dept. of Nuclear Medicine, University of Aachen, Aachen, Germany
| |
Collapse
|
173
|
Patel PD, Patel NV, Davidson C, Danish SF. The Role of MRgLITT in Overcoming the Challenges in Managing Infield Recurrence After Radiation for Brain Metastasis. Neurosurgery 2016; 79 Suppl 1:S40-S58. [DOI: 10.1227/neu.0000000000001436] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
Radiation necrosis and tumor recurrence are common sequelae after radiation therapy for brain metastasis. The differentiation of radiation necrosis and recurrent brain metastases continues to remain a difficult task despite a number of diagnostic methods. Techniques including magnetic resonance imaging, diffusion-weighted imaging, nuclear studies, and the gold standard of biopsy have all been studied for their effectiveness in accurately diagnosing the postradiation condition. Various specific treatment options of the distinct pathologies are available with the general theory that recurrences require more immediate treatment whereas radiation necrosis can be observed until symptomatic before intervention. This further emphasizes the necessity to accurately diagnose the condition to start appropriate and effective treatment. Despite both pathologies being pathophysiologically distinct, controversies exist as to whether there should be a distinction made at all or if the two can be perceived as a single condition if treatment and presentation are similar enough. Furthermore, a single treatment option such as magnetic resonance–guided, laser-induced thermal therapy (MRgLITT) can be used, potentially eliminating the need to differentiate the 2 entities because it successfully treats both conditions while being minimally invasive.
Collapse
Affiliation(s)
- Purvee D. Patel
- Section of Neurosurgery, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Nitesh V. Patel
- Department of Neurological Surgery, Rutgers-New Jersey Medical School, Newark, New Jersey
| | - Christian Davidson
- Section of Neurosurgery, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
- Department of Pathology, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Shabbar F. Danish
- Section of Neurosurgery, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| |
Collapse
|
174
|
Kucharczyk MJ, Parpia S, Whitton A, Greenspoon JN. Evaluation of pseudoprogression in patients with glioblastoma. Neurooncol Pract 2016; 4:120-134. [PMID: 31386017 DOI: 10.1093/nop/npw021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Background Management of glioblastoma is complicated by pseudoprogression, a radiological phenomenon mimicking progression. This retrospective cohort study investigated the incidence, prognostic implications, and most clinically appropriate definition of pseudoprogression. Methods Consecutive glioblastoma patients treated at the Juravinski Hospital and Cancer Centre, Hamilton, Ontario between 2004 and 2012 with temozolomide chemoradiotherapy and with contrast-enhanced MRI at standard imaging intervals were included. At each imaging interval, patient responses as per the RECIST (Response Evaluation Criteria in Solid Tumors), MacDonald, and RANO (Response Assessment in Neuro-Oncology) criteria were reported. Based on each set of criteria, subjects were classified as having disease response, stable disease, pseudoprogression, or true progression. The primary outcome was overall survival. Results The incidence of pseudoprogression among 130 glioblastoma patients treated with chemoradiotherapy was 15%, 19%, and 23% as defined by RANO, MacDonald, and RECIST criteria, respectively. Using the RANO definition, median survival for patients with pseudoprogression was 13.0 months compared with 12.5 months for patients with stable disease (hazard ratio [HR]=0.70; 95% confidence interval [CI], 0.35-1.42). Similarly, using the MacDonald definition, median survival for the pseudoprogression group was 11.8 months compared with 12.0 months for the stable disease group (HR=0.86; 95% CI, 0.47-1.58). Furthermore, disease response compared with stable disease was also similar using the RANO (HR=0.52; 95% CI, 0.20-1.35) and MacDonald (HR=0.51: 95% CI, 0.20-1.31) definitions. Conclusions Of all conventional glioblastoma response criteria, the RANO criteria gave the lowest incidence of pseudoprogression. Regardless of criteria, patients with pseudoprogression did not have statistically significant difference in survival compared with patients with stable disease.
Collapse
Affiliation(s)
- Michael Jonathan Kucharczyk
- Juravinski Cancer Centre, 699 Concession Street, Hamilton, Ontario, Canada (M.J.K.; A.W.; J.N.G.), Ontario Clinical Oncology Group, McMaster University, 771 Concession Street, Hamilton, Ontario, Canada (S.P.)
| | - Sameer Parpia
- Juravinski Cancer Centre, 699 Concession Street, Hamilton, Ontario, Canada (M.J.K.; A.W.; J.N.G.), Ontario Clinical Oncology Group, McMaster University, 771 Concession Street, Hamilton, Ontario, Canada (S.P.)
| | - Anthony Whitton
- Juravinski Cancer Centre, 699 Concession Street, Hamilton, Ontario, Canada (M.J.K.; A.W.; J.N.G.), Ontario Clinical Oncology Group, McMaster University, 771 Concession Street, Hamilton, Ontario, Canada (S.P.)
| | - Jeffrey Noah Greenspoon
- Juravinski Cancer Centre, 699 Concession Street, Hamilton, Ontario, Canada (M.J.K.; A.W.; J.N.G.), Ontario Clinical Oncology Group, McMaster University, 771 Concession Street, Hamilton, Ontario, Canada (S.P.)
| |
Collapse
|
175
|
[Imaging methods used in the differential diagnosis between brain tumour relapse and radiation necrosis after stereotactic radiosurgery of brain metastases: Literature review]. Cancer Radiother 2016; 20:837-845. [PMID: 28270324 DOI: 10.1016/j.canrad.2016.07.098] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 06/22/2016] [Accepted: 07/01/2016] [Indexed: 11/20/2022]
Abstract
After stereotactic radiosurgery for a cerebral metastasis, one of the dreaded toxicities is radionecrosis. In the follow-up of these patients, it is impossible to distinguish radiation necrosis from tumour relapse either clinically or with MRI. In current practice, many imaging methods are designed such as special sequences of MRI (dynamic susceptibility contrast perfusion and susceptibility-weighted imaging, diffusion), proton magnetic resonance spectroscopy, positron emission tomography, or more seldom 201-thallium single-photon emission computerized tomography. This article is a required literature analysis in order to establish a decision tree with the analysis of retrospective and prospective data.
Collapse
|
176
|
Tiwari P, Prasanna P, Wolansky L, Pinho M, Cohen M, Nayate AP, Gupta A, Singh G, Hatanpaa KJ, Sloan A, Rogers L, Madabhushi A. Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study. AJNR Am J Neuroradiol 2016; 37:2231-2236. [PMID: 27633806 DOI: 10.3174/ajnr.a4931] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 07/16/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Despite availability of advanced imaging, distinguishing radiation necrosis from recurrent brain tumors noninvasively is a big challenge in neuro-oncology. Our aim was to determine the feasibility of radiomic (computer-extracted texture) features in differentiating radiation necrosis from recurrent brain tumors on routine MR imaging (gadolinium T1WI, T2WI, FLAIR). MATERIALS AND METHODS A retrospective study of brain tumor MR imaging performed 9 months (or later) post-radiochemotherapy was performed from 2 institutions. Fifty-eight patient studies were analyzed, consisting of a training (n = 43) cohort from one institution and an independent test (n = 15) cohort from another, with surgical histologic findings confirmed by an experienced neuropathologist at the respective institutions. Brain lesions on MR imaging were manually annotated by an expert neuroradiologist. A set of radiomic features was extracted for every lesion on each MR imaging sequence: gadolinium T1WI, T2WI, and FLAIR. Feature selection was used to identify the top 5 most discriminating features for every MR imaging sequence on the training cohort. These features were then evaluated on the test cohort by a support vector machine classifier. The classification performance was compared against diagnostic reads by 2 expert neuroradiologists who had access to the same MR imaging sequences (gadolinium T1WI, T2WI, and FLAIR) as the classifier. RESULTS On the training cohort, the area under the receiver operating characteristic curve was highest for FLAIR with 0.79; 95% CI, 0.77-0.81 for primary (n = 22); and 0.79, 95% CI, 0.75-0.83 for metastatic subgroups (n = 21). Of the 15 studies in the holdout cohort, the support vector machine classifier identified 12 of 15 studies correctly, while neuroradiologist 1 diagnosed 7 of 15 and neuroradiologist 2 diagnosed 8 of 15 studies correctly, respectively. CONCLUSIONS Our preliminary results suggest that radiomic features may provide complementary diagnostic information on routine MR imaging sequences that may improve the distinction of radiation necrosis from recurrence for both primary and metastatic brain tumors.
Collapse
Affiliation(s)
- P Tiwari
- From the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
| | - P Prasanna
- From the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
| | - L Wolansky
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - M Pinho
- University of Texas Southwestern Medical Center (M.P., K.J.H.), Dallas, Texas
| | - M Cohen
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - A P Nayate
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - A Gupta
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - G Singh
- From the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
| | - K J Hatanpaa
- University of Texas Southwestern Medical Center (M.P., K.J.H.), Dallas, Texas
| | - A Sloan
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - L Rogers
- University Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
| | - A Madabhushi
- From the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
| |
Collapse
|
177
|
Topiramate induces acute intracellular acidification in glioblastoma. J Neurooncol 2016; 130:465-472. [DOI: 10.1007/s11060-016-2258-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 08/27/2016] [Indexed: 02/04/2023]
|
178
|
|
179
|
Mujokoro B, Adabi M, Sadroddiny E, Adabi M, Khosravani M. Nano-structures mediated co-delivery of therapeutic agents for glioblastoma treatment: A review. MATERIALS SCIENCE & ENGINEERING. C, MATERIALS FOR BIOLOGICAL APPLICATIONS 2016; 69:1092-102. [PMID: 27612807 DOI: 10.1016/j.msec.2016.07.080] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 07/10/2016] [Accepted: 07/31/2016] [Indexed: 11/18/2022]
Abstract
Glioblastoma is a malignant brain tumor and leads to death in most patients. Chemotherapy is a common method for brain cancer in clinics. However, the recent advancements in the chemotherapy of brain tumors have not been efficient enough. With the advancement of nanotechnology, the used drugs can enhance chemotherapy efficiency and increase the access to brain cancers. Combination of therapeutic agents has been recently attracted great attention for glioblastoma chemotherapy. One of the early benefits of combination therapies is the high potential to provide synergistic effects and decrease adverse side effects associated with high doses of single anticancer drugs. Therefore, brain tumor treatments with combination drugs can be considered as a crucial approach for avoiding tumor growth. This review investigates current progress in nano-mediated co-delivery of therapeutic agents with focus on glioblastoma chemotherapy prognosis.
Collapse
Affiliation(s)
- Basil Mujokoro
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, International Campus, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Adabi
- Young Researchers and Elite Club, Roudehen Branch, Islamic Azad University, Roudehen, Iran
| | - Esmaeil Sadroddiny
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Adabi
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Masood Khosravani
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
180
|
Galldiks N, Langen KJ. Amino Acid PET - An Imaging Option to Identify Treatment Response, Posttherapeutic Effects, and Tumor Recurrence? Front Neurol 2016; 7:120. [PMID: 27516754 PMCID: PMC4963389 DOI: 10.3389/fneur.2016.00120] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 07/18/2016] [Indexed: 02/06/2023] Open
Abstract
Routine diagnostics and treatment monitoring in patients with primary and secondary brain tumors is usually based on contrast-enhanced standard MRI. However, the capacity of standard MRI to differentiate neoplastic tissue from non-specific posttreatment effects may be limited particularly after therapeutic interventions such as radio- and/or chemotherapy or newer treatment options, e.g., immune therapy. Metabolic imaging using PET may provide relevant additional information on tumor metabolism, which allows a more accurate diagnosis especially in clinically equivocal situations, particularly when radiolabeled amino acids are used. Amino acid PET allows a sensitive monitoring of a response to various treatment options, the early detection of tumor recurrence, and an improved differentiation of tumor recurrence from posttherapeutic effects. In the past, this method had only limited availability due to the use of PET tracers with a short half-life, e.g., C-11. In recent years, however, novel amino acid PET tracers labeled with positron emitters with a longer half-life (F-18) have been developed and clinically validated, which allow a more efficient and cost-effective application. These developments and the well-documented diagnostic performance of PET using radiolabeled amino acids suggest that its application continues to spread and that this technique may be available as a routine diagnostic tool for several indications in the field of neuro-oncology.
Collapse
Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University of Cologne, Cologne, Germany; Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany; Center of Integrated Oncology (CIO), University of Cologne, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany; Department of Nuclear Medicine, University of Aachen, Aachen, Germany
| |
Collapse
|
181
|
Drezner N, Hardy KK, Wells E, Vezina G, Ho CY, Packer RJ, Hwang EI. Treatment of pediatric cerebral radiation necrosis: a systematic review. J Neurooncol 2016; 130:141-148. [DOI: 10.1007/s11060-016-2219-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 07/09/2016] [Indexed: 11/28/2022]
|
182
|
Reimold M, la Fougère C. Molekulare Bildgebung bei neurologischen Erkrankungen. Radiologe 2016; 56:580-7. [DOI: 10.1007/s00117-016-0124-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
183
|
Ahmad S, Le CH, Chiu AG, Chang EH. Incidence of intracranial radiation necrosis following postoperative radiation therapy for sinonasal malignancies. Laryngoscope 2016; 126:2445-2450. [DOI: 10.1002/lary.26106] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 04/18/2016] [Accepted: 05/05/2016] [Indexed: 11/07/2022]
Affiliation(s)
- Shah Ahmad
- Department of Otolaryngology-Head and Neck Surgery; University of Arizona, College of Medicine; Tucson Arizona U.S.A
| | - Christopher H. Le
- Department of Otolaryngology-Head and Neck Surgery; University of Arizona, College of Medicine; Tucson Arizona U.S.A
| | - Alexander G. Chiu
- Department of Otolaryngology-Head and Neck Surgery; University of Arizona, College of Medicine; Tucson Arizona U.S.A
| | - Eugene H. Chang
- Department of Otolaryngology-Head and Neck Surgery; University of Arizona, College of Medicine; Tucson Arizona U.S.A
| |
Collapse
|
184
|
Le Rhun E, Dhermain F, Vogin G, Reyns N, Metellus P. Radionecrosis after stereotactic radiotherapy for brain metastases. Expert Rev Neurother 2016; 16:903-14. [DOI: 10.1080/14737175.2016.1184572] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
|
185
|
Alfotih GTA, Zheng MG, Cai WQ, Xu XK, Hu Z, Li FC. Surgical techniques in radiation induced temporal lobe necrosis in nasopharyngeal carcinoma patients. Neurol Neurochir Pol 2016; 50:172-9. [PMID: 27154443 DOI: 10.1016/j.pjnns.2016.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Revised: 02/07/2016] [Accepted: 02/24/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND Radiation induced brain injury ranges from acute reversible edema to late, irreversible radiation necrosis. Radiation induced temporal lobe necrosis is associated with permanent neurological deficits and occasionally progresses to death. OBJECTIVE We present our experience with surgery on radiation induced temporal lobe necrosis (RTLN) in nasopharyngeal carcinoma (NPC) patients with special consideration of clinical presentation, surgical technique, and outcomes. METHOD This retrospective study includes 12 patients with RTLN treated by the senior author between January 2010 and December 2014. Patients initially sought medical treatment due to headache; other symptoms were hearing loss, visual deterioration, seizure, hemiparesis, vertigo, memory loss and agnosia. A temporal approach through a linear incision was performed for all cases. RTLN was found in one side in 7 patients, and bilaterally in 5. 4 patients underwent resection of necrotic tissue bilaterally and 8 patients on one side. RESULTS No death occurred in this series of cases. There were no post-operative complications, except 1 patient who developed aseptic meningitis. All 12 patients were free from headache. No seizure occurred in patients with preoperative epilepsy. Other symptoms such as hemiparesis and vertigo improved in all patients. Memory loss, agnosia and hearing loss did not change post-operatively in all cases. The follow-up MR images demonstrated no recurrence of necrotic lesions in all 12 patients. CONCLUSION Neurosurgical intervention through a temporal approach with linear incision is warranted in patients with radiation induced temporal lobe necrosis with significant symptoms and signs of increased intracranial pressure, minimum space occupying effect on imaging, or neurological deterioration despite conservative management.
Collapse
Affiliation(s)
- Gobran Taha Ahmed Alfotih
- Department of Neurosurgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 West Road of Riverside, Guangzhou 510120, China; Department of Neurosurgery, Guangzhou Women and Children's Medical Center, No. 9 Jinsui Road, Guangzhou 510623, China
| | - Mei Guang Zheng
- Department of Neurosurgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 West Road of Riverside, Guangzhou 510120, China
| | - Wang Qing Cai
- Department of Neurosurgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 West Road of Riverside, Guangzhou 510120, China
| | - Xin Ke Xu
- Department of Neurosurgery, Guangzhou Women and Children's Medical Center, No. 9 Jinsui Road, Guangzhou 510623, China
| | - Zhen Hu
- Department of Neurosurgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 West Road of Riverside, Guangzhou 510120, China
| | - Fang Cheng Li
- Department of Neurosurgery, Guangzhou Women and Children's Medical Center, No. 9 Jinsui Road, Guangzhou 510623, China.
| |
Collapse
|
186
|
Albert NL, Weller M, Suchorska B, Galldiks N, Soffietti R, Kim MM, la Fougère C, Pope W, Law I, Arbizu J, Chamberlain MC, Vogelbaum M, Ellingson BM, Tonn JC. Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas. Neuro Oncol 2016; 18:1199-208. [PMID: 27106405 DOI: 10.1093/neuonc/now058] [Citation(s) in RCA: 465] [Impact Index Per Article: 58.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/14/2016] [Indexed: 12/30/2022] Open
Abstract
This guideline provides recommendations for the use of PET imaging in gliomas. The review examines established clinical benefit in glioma patients of PET using glucose ((18)F-FDG) and amino acid tracers ((11)C-MET, (18)F-FET, and (18)F-FDOPA). An increasing number of studies have been published on PET imaging in the setting of diagnosis, biopsy, and resection as well radiotherapy planning, treatment monitoring, and response assessment. Recommendations are based on evidence generated from studies which validated PET findings by histology or clinical course. This guideline emphasizes the clinical value of PET imaging with superiority of amino acid PET over glucose PET and provides a framework for the use of PET to assist in the management of patients with gliomas.
Collapse
Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michael Weller
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Bogdana Suchorska
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Norbert Galldiks
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Riccardo Soffietti
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michelle M Kim
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Christian la Fougère
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Whitney Pope
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Ian Law
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Javier Arbizu
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Marc C Chamberlain
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michael Vogelbaum
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Ben M Ellingson
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Joerg C Tonn
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| |
Collapse
|
187
|
Ye J, Bhagat SK, Li H, Luo X, Wang B, Liu L, Yang G. Differentiation between recurrent gliomas and radiation necrosis using arterial spin labeling perfusion imaging. Exp Ther Med 2016; 11:2432-2436. [PMID: 27284331 DOI: 10.3892/etm.2016.3225] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 11/25/2015] [Indexed: 12/13/2022] Open
Abstract
Arterial spin labeling (ASL) magnetic resonance (MR) perfusion imaging has been proposed as an effective method to measure brain tumor perfusion. The aim of the present study was to evaluate the utility of this technique in the differentiation of recurrent gliomas from radiation necrosis. Twenty-one patients with surgically treated primary gliomas, including 16 cases of recurrent glioma and 5 of radiation necrosis were examined using 3.0T MR imaging (MRI). ASL and dynamic susceptibility contrast-weighted (DSC) perfusion MRI scans were performed. Maps of normalized cerebral blood flow (CBF) in ASL imaging and cerebral blood volume (CBV) in DSC imaging were computed and analyzed in the regions of interest. In cases of glioma recurrence, the normalized ASL-CBF ratio (4.45±2.72) was higher than that in cases of radiation injury (1.22±0.61) (P<0.01). The normalized DSC-relative CBV ratio was also significantly higher in glioma recurrence (3.38±2.08) than it was in radiation injury (1.09±0.55) (P<0.05). A close linear correlation was found between the ASL and DSC MRI techniques (linear regression coefficient, R=0.85; P=0.005) in the differentiation of recurrent glioma from radiation injury. The results indicate that ASL perfusion is an accurate method of distinguishing between glioma recurrence and radiation necrosis.
Collapse
Affiliation(s)
- Jing Ye
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Santosh Kumar Bhagat
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Hongmei Li
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Xianfu Luo
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Buhai Wang
- Department of Oncology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Liqin Liu
- Department of Oncology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| | - Guomei Yang
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, P.R. China
| |
Collapse
|
188
|
Pseudo progression identification of glioblastoma with dictionary learning. Comput Biol Med 2016; 73:94-101. [PMID: 27100835 DOI: 10.1016/j.compbiomed.2016.03.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 03/28/2016] [Accepted: 03/30/2016] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Although the use of temozolomide in chemoradiotherapy is effective, the challenging clinical problem of pseudo progression has been raised in brain tumor treatment. This study aims to distinguish pseudo progression from true progression. MATERIALS AND METHODS Between 2000 and 2012, a total of 161 patients with glioblastoma multiforme (GBM) were treated with chemoradiotherapy at our hospital. Among the patients, 79 had their diffusion tensor imaging (DTI) data acquired at the earliest diagnosed date of pseudo progression or true progression, and 23 had both DTI data and genomic data. Clinical records of all patients were kept in good condition. Volumetric fractional anisotropy (FA) images obtained from the DTI data were decomposed into a sequence of sparse representations. Then, a feature selection algorithm was applied to extract the critical features from the feature matrix to reduce the size of the feature matrix and to improve the classification accuracy. RESULTS The proposed approach was validated using the 79 samples with clinical DTI data. Satisfactory results were obtained under different experimental conditions. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.87 for a given dictionary with 1024 atoms. For the subgroup of 23 samples, genomics data analysis was also performed. Results implied further perspective on pseudo progression classification. CONCLUSIONS The proposed method can determine pseudo progression and true progression with improved accuracy. Laboring segmentation is no longer necessary because this skillfully designed method is not sensitive to tumor location.
Collapse
|
189
|
Response Assessment and Magnetic Resonance Imaging Issues for Clinical Trials Involving High-Grade Gliomas. Top Magn Reson Imaging 2016; 24:127-36. [PMID: 26049816 DOI: 10.1097/rmr.0000000000000054] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
There exist multiple challenges associated with the current response assessment criteria for high-grade gliomas, including the uncertain role of changes in nonenhancing T2 hyperintensity, and the phenomena of pseudoresponse and pseudoprogression in the setting of antiangiogenic and chemoradiation therapies, respectively. Advanced physiological magnetic resonance imaging (MRI), including diffusion and perfusion (dynamic susceptibility contrast MRI and dynamic contrast-enhanced MRI) sensitive techniques for overcoming response assessment challenges, has been proposed, with their own potential advantages and inherent shortcomings. Measurement variability exists for conventional and advanced MRI techniques, necessitating the standardization of image acquisition parameters in order to establish the utility of these imaging methods in multicenter trials for high-grade gliomas. This review chapter highlights the important features of MRI in clinical brain tumor trials, focusing on the current state of response assessment in brain tumors, advanced imaging techniques that may provide additional value for determining response, and imaging issues to be considered for multicenter trials.
Collapse
|
190
|
Added value of amide proton transfer imaging to conventional and perfusion MR imaging for evaluating the treatment response of newly diagnosed glioblastoma. Eur Radiol 2016; 26:4390-4403. [PMID: 26883333 DOI: 10.1007/s00330-016-4261-2] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 01/20/2016] [Accepted: 02/01/2016] [Indexed: 01/17/2023]
Abstract
OBJECTIVES To determine the added value of amide proton transfer (APT) imaging to conventional and perfusion MRI for differentiating tumour progression (TP) from the treatment-related effect (TE) in patients with post-treatment glioblastomas. METHODS Sixty-five consecutive patients with enlarging contrast-enhancing lesions following concurrent chemoradiotherapy were assessed using contrast-enhanced T1-weighted MRI (CE-T1WI), 90th percentile histogram parameters of normalized cerebral blood volume (nCBV90) and APT asymmetry value (APT90). Diagnostic performance was determined using the area under the receiver operating characteristic curve (AUC) and cross validations. RESULTS There were statistically significant differences in the mean APT90 between the TP and the TE groups (3.87-4.01 % vs. 1.38-1.41 %; P < .001). Compared with CE-T1WI alone, the addition of APT90 to CE-T1WI significantly improved cross-validated AUC from 0.58-0.74 to 0.89-0.91 for differentiating TP from TE. The combination of CE-T1WI, nCBV90 and APT90 resulted in greater diagnostic accuracy for differentiating TP from TE than the combination of CE-T1WI and nCBV90 (cross-validated AUC, 0.95-0.97 vs. 0.84-0.91). The inter-reader agreement between the expert and trainee was excellent for the measurements of APT90 (intraclass correlation coefficient, 0.94). CONCLUSION Adding APT imaging to conventional and perfusion MRI improves the diagnostic performance for differentiating TP from TE. KEY POINTS • APT imaging could provide a reliable distinction between TP and TE • Adding APT imaging to CE-T1WI improved the diagnostic accuracy versus CE-T1WI alone • Multimodal imaging using CE-T1WI, perfusion and APT imaging led to accurate diagnosis • The inter-reader agreement of APT histogram parameters was excellent.
Collapse
|
191
|
Impact of Resecting Radiation Necrosis and Pseudoprogression on Survival of Patients with Glioblastoma. World Neurosurg 2016; 89:37-41. [PMID: 26805684 DOI: 10.1016/j.wneu.2016.01.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 01/05/2016] [Accepted: 01/06/2016] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Radiation necrosis (RN) and pseudoprogression are known as postradiation treatment effects and may simulate tumor progression. The disease course of glioblastoma patients who had developed RN and the impact of resecting RN on survival have not been evaluated. This study examines the clinical course of patients considered candidates for repeat surgery for a recurring brain mass proven to be RN and compared these with patients who had true tumor recurrence at surgery. METHODS Of 159 patients with glioblastoma who were reoperated on because of a presumed recurrent tumor requiring repeat surgery, 18 had RN as the major component of the resected mass. The characteristics and outcome of these 18 patients were retrospectively analyzed and compared with patients in whom active and bulky tumor was found during surgery. RESULTS Radiation necrosis occurred significantly earlier than true tumor recurrence. Patients with RN harbored larger lesions and were significantly more symptomatic before the second surgery. Most patients with RN who underwent GTR of the lesion in the second operation experienced faster resolution of the surrounding edema compared with patients who underwent STR or biopsy only. There was no significant difference in survival between the 2 groups. CONCLUSIONS These data provide an opportunity to examine the clinical course of a selected group of patients with histologically verified RN. Although RN is associated with more severe neurologic symptoms that improve after surgery, its occurrence or surgical removal carries no survival advantage compared with patients who undergo a repeat operation for true tumor recurrence.
Collapse
|
192
|
Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI. J Neurooncol 2016; 127:515-24. [DOI: 10.1007/s11060-016-2055-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 01/03/2016] [Indexed: 10/22/2022]
|
193
|
Hypoxia and Inflammation-Induced Disruptions of the Blood-Brain and Blood-Cerebrospinal Fluid Barriers Assessed Using a Novel T1-Based MRI Method. ACTA NEUROCHIRURGICA SUPPLEMENT 2016; 121:23-8. [DOI: 10.1007/978-3-319-18497-5_5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
|
194
|
Affiliation(s)
- Abdulkhader Shehna
- Department of Radiation Oncology, Government Medical College, Thrissur, Kerala, India
| | - Firosh Khan
- Department of Neurology, Mother Hospital, Thrissur, Kerala, India
| | | |
Collapse
|
195
|
Xu X, Yadav NN, Knutsson L, Hua J, Kalyani R, Hall E, Laterra J, Blakeley J, Strowd R, Pomper M, Barker P, Chan K, Liu G, McMahon MT, Stevens RD, van Zijl PCM. Dynamic Glucose-Enhanced (DGE) MRI: Translation to Human Scanning and First Results in Glioma Patients. ACTA ACUST UNITED AC 2015; 1:105-114. [PMID: 26779568 PMCID: PMC4710854 DOI: 10.18383/j.tom.2015.00175] [Citation(s) in RCA: 136] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Recent animal studies have shown that d-glucose is a potential biodegradable magnetic resonance imaging (MRI) contrast agent for imaging glucose uptake in tumors. We show herein the first translation of that use of d-glucose to human studies. Chemical exchange saturation transfer (CEST) MRI at a single frequency offset optimized for detecting hydroxyl protons in d-glucose was used to image dynamic signal changes in the human brain at 7 T during and after d-glucose infusion. Dynamic glucose enhanced (DGE) image data from 4 normal volunteers and 3 glioma patients showed a strong signal enhancement in blood vessels, while a spatially varying enhancement was found in tumors. Areas of enhancement differed spatially between DGE and conventional gadolinium-enhanced imaging, suggesting complementary image information content for these 2 types of agents. In addition, different tumor areas enhanced with d-glucose at different times after infusion, suggesting a sensitivity to perfusion-related properties such as substrate delivery and blood-brain barrier (BBB) permeability. These preliminary results suggest that DGE MRI is feasible for studying glucose uptake in humans, providing a time-dependent set of data that contains information regarding arterial input function, tissue perfusion, glucose transport across the BBB and cell membrane, and glucose metabolism.
Collapse
Affiliation(s)
- Xiang Xu
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Nirbhay N Yadav
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
| | - Jun Hua
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Rita Kalyani
- Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Erica Hall
- Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - John Laterra
- Department of Neurology, Oncology, and Neuroscience, The Johns Hopkins Medicine, and The Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Jaishri Blakeley
- Department of Neurology, Oncology, and Neuroscience, The Johns Hopkins Medicine, and The Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Roy Strowd
- Department of Neurology, Oncology, and Neuroscience, The Johns Hopkins Medicine, and The Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Martin Pomper
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Peter Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Kannie Chan
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Guanshu Liu
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Michael T McMahon
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Robert D Stevens
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States; Department of Neurology, Oncology, and Neuroscience, The Johns Hopkins Medicine, and The Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Peter C M van Zijl
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| |
Collapse
|
196
|
Hamed SA, Mekkawy MA, Abozaid H. Differential diagnosis of a vanishing brain space occupying lesion in a child. World J Clin Cases 2015; 3:956-964. [PMID: 26601100 PMCID: PMC4644899 DOI: 10.12998/wjcc.v3.i11.956] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 06/30/2015] [Accepted: 08/07/2015] [Indexed: 02/05/2023] Open
Abstract
We describe clinical, diagnostic features and follow up of a patient with a vanishing brain lesion. A 14-year-old child admitted to the department of Neurology at September 2009 with a history of subacute onset of fever, anorexia, vomiting, blurring of vision and right hemiparesis since one month. Magnetic resonance imaging (MRI) of the brain revealed presence of intra-axial large mass (25 mm × 19 mm) in the left temporal lobe and the brainstem which showed hypointense signal in T1W and hyperintense signals in T2W and fluid attenuated inversion recovery (FLAIR) images and homogenously enhanced with gadolinium (Gd). It was surrounded by vasogenic edema with mass effect. Intravenous antibiotics, mannitol (2 g/12 h per 2 d) and dexamethasone (8 mg/12 h) were given to relief manifestations of increased intracranial pressure. Whole craniospinal radiotherapy (brain = 4000 CGy/20 settings per 4 wk; Spinal = 2600/13 settings per 3 wk) was given based on the high suspicion of neoplastic lesion (lymphoma or glioma). Marked clinical improvement (up to complete recovery) occurred within 15 d. Tapering of the steroid dose was done over the next 4 mo. Follow up with MRI after 3 mo showed small lesion in the left antero-medial temporal region with hypointense signal in T1W and hyperintense signals in T2W and FLAIR images but did not enhance with Gd. At August 2012, the patient developed recurrent generalized epilepsy. His electroencephalography showed the presence of left temporal focus of epileptic activity. MRI showed the same lesion as described in the follow up. The diffusion weighted images were normal. The seizures frequency was decreased with carbamazepine therapy (300 mg/12 h). At October 2014, single voxel proton (1H) MR spectroscopy (MRS) showed reduced N-acetyl-aspartate (NAA)/creatine (Cr), choline (Cho)/Cr, NAA/Cho ratios consistent with absence of a neoplasm and highly suggested presence of gliosis. A solitary brain mass in a child poses a considerable diagnostic difficulty. MRS provided valuable diagnostic differentiation between tumor and pseudotumor lesions.
Collapse
|
197
|
Zhang H, Liu N, Gao S, Hu X, Zhao W, Tao R, Chen Z, Zheng J, Sun X, Xu L, Li W, Yu J, Yuan S. Can an ¹⁸F-ALF-NOTA-PRGD2 PET/CT Scan Predict Treatment Sensitivity to Concurrent Chemoradiotherapy in Patients with Newly Diagnosed Glioblastoma? J Nucl Med 2015; 57:524-9. [PMID: 26514171 DOI: 10.2967/jnumed.115.165514] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 10/16/2015] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED This study examined the value of a novel 1-step labeled integrin α(v)β3-targeting (18)F-AlF-NOTA-PRGD2 (denoted as (18)F-RGD) scan in assessing sensitivity to concurrent chemoradiotherapy (CCRT) in patients with newly diagnosed glioblastoma multiforme (GBM). METHODS Twenty-five patients with newly diagnosed GBM were enrolled in this study 3-5 wk after surgical resection. All participants were investigated with (18)F-RGD PET/CT on baseline (T1) and at the third week (T2) after the start of CCRT. Tumor volume, maximal and mean standardized uptake value of the tumor (SUVmax, SUVmean), and tumor-to-nontumor ratios of the tumor volume were obtained. The MRI treatment response was assessed at the 11th week (T3). The change in the lesion volume from T1 to T3 on MRI was used as an endpoint to evaluate the predictive ability of (18)F-RGD PET/CT. RESULTS With (18)F-RGD PET/CT imaging, we successfully visualized the residual lesions of GBM. Twenty-five and 23 (18)F-RGD PET/CT scans at baseline and the third week, respectively, were available for analysis. We found that (18)F-RGD PET/CT parameters, both pretreatment SUVmax on baseline (P< 0.05) and intratreatment SUVmax at the third week (SUV(maxT2)) (P< 0.05) and tumor-to-nontumor ratios at the third week (P< 0.05), were predictive of treatment sensitivity to CCRT. Additionally, the change of volume from T1 to T2 on MRI was also predictive (P< 0.05). According to receiver-operating-characteristic curve analysis, the most significant parameter was SUV(maxT2) (area under the curve, 0.846). The threshold of SUV(maxT2) was 1.35, and its sensitivity, specificity, and accuracy were 84.6%, 90.0% and 87.0%, respectively. CONCLUSION (18)F-RGD PET/CT allows for the noninvasive visualization of GBM lesions and the prediction of sensitivity to CCRT as early as 3 wk after treatment initiation.
Collapse
Affiliation(s)
- Hui Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ning Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Song Gao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xudong Hu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Wei Zhao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Rongjie Tao
- Department of Neurosurgery, Shandong Cancer Hospital and Institute, Jinan, Shandong, China; and
| | - Zhaoqiu Chen
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Jinsong Zheng
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Xiaorong Sun
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Liang Xu
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Wanhu Li
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Shuanghu Yuan
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| |
Collapse
|
198
|
Jiang X, Yuan L, Engelbach JA, Cates J, Perez-Torres CJ, Gao F, Thotala D, Drzymala RE, Schmidt RE, Rich KM, Hallahan DE, Ackerman JJH, Garbow JR. A Gamma-Knife-Enabled Mouse Model of Cerebral Single-Hemisphere Delayed Radiation Necrosis. PLoS One 2015; 10:e0139596. [PMID: 26440791 PMCID: PMC4595209 DOI: 10.1371/journal.pone.0139596] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 09/14/2015] [Indexed: 11/26/2022] Open
Abstract
Purpose To develop a Gamma Knife-based mouse model of late time-to-onset, cerebral radiation necrosis (RN) with serial evaluation by magnetic resonance imaging (MRI) and histology. Methods and Materials Mice were irradiated with the Leksell Gamma Knife® (GK) PerfexionTM (Elekta AB; Stockholm, Sweden) with total single-hemispheric radiation doses (TRD) of 45- to 60-Gy, delivered in one to three fractions. RN was measured using T2-weighted MR images, while confirmation of tissue damage was assessed histologically by hematoxylin & eosin, trichrome, and PTAH staining. Results MRI measurements demonstrate that TRD is a more important determinant of both time-to-onset and progression of RN than fractionation. The development of RN is significantly slower in mice irradiated with 45-Gy than 50- or 60-Gy, where RN development is similar. Irradiated mouse brains demonstrate all of the pathologic features observed clinically in patients with confirmed RN. A semi-quantitative (0 to 3) histologic grading system, capturing both the extent and severity of injury, is described and illustrated. Tissue damage, as assessed by a histologic score, correlates well with total necrotic volume measured by MRI (correlation coefficient = 0.948, with p<0.0001), and with post-irradiation time (correlation coefficient = 0.508, with p<0.0001). Conclusions Following GK irradiation, mice develop late time-to-onset cerebral RN histology mirroring clinical observations. MR imaging provides reliable quantification of the necrotic volume that correlates well with histologic score. This mouse model of RN will provide a platform for mechanism of action studies, the identification of imaging biomarkers of RN, and the development of clinical studies for improved mitigation and neuroprotection.
Collapse
Affiliation(s)
- Xiaoyu Jiang
- Department of Chemistry, Washington University, St. Louis, Missouri, United States of America
| | - Liya Yuan
- Department of Neurosurgery, Washington University, St. Louis, Missouri, United States of America
| | - John A. Engelbach
- Department of Radiology, Washington University, St. Louis, Missouri, United States of America
| | - Jeremy Cates
- Department of Radiation Oncology, Washington University, St. Louis, Missouri, United States of America
| | - Carlos J. Perez-Torres
- Department of Radiology, Washington University, St. Louis, Missouri, United States of America
| | - Feng Gao
- Division of Biostatistics, Washington University, St. Louis, Missouri, United States of America
- Alvin J. Siteman Cancer Center, Washington University, St. Louis, Missouri, United States of America
| | - Dinesh Thotala
- Department of Radiation Oncology, Washington University, St. Louis, Missouri, United States of America
- Alvin J. Siteman Cancer Center, Washington University, St. Louis, Missouri, United States of America
| | - Robert E. Drzymala
- Department of Neurosurgery, Washington University, St. Louis, Missouri, United States of America
- Department of Radiation Oncology, Washington University, St. Louis, Missouri, United States of America
| | - Robert E. Schmidt
- Department of Neuropathology, Washington University, St. Louis, Missouri, United States of America
| | - Keith M. Rich
- Department of Neurosurgery, Washington University, St. Louis, Missouri, United States of America
- Department of Radiation Oncology, Washington University, St. Louis, Missouri, United States of America
| | - Dennis E. Hallahan
- Department of Radiation Oncology, Washington University, St. Louis, Missouri, United States of America
- Alvin J. Siteman Cancer Center, Washington University, St. Louis, Missouri, United States of America
| | - Joseph J. H. Ackerman
- Department of Chemistry, Washington University, St. Louis, Missouri, United States of America
- Department of Radiology, Washington University, St. Louis, Missouri, United States of America
- Alvin J. Siteman Cancer Center, Washington University, St. Louis, Missouri, United States of America
- Department of Internal Medicine, Washington University, St. Louis, Missouri, United States of America
| | - Joel R. Garbow
- Department of Radiology, Washington University, St. Louis, Missouri, United States of America
- Alvin J. Siteman Cancer Center, Washington University, St. Louis, Missouri, United States of America
- * E-mail:
| |
Collapse
|
199
|
Yoo RE, Choi SH, Kim TM, Lee SH, Park CK, Park SH, Kim IH, Yun TJ, Kim JH, Sohn CH. Independent Poor Prognostic Factors for True Progression after Radiation Therapy and Concomitant Temozolomide in Patients with Glioblastoma: Subependymal Enhancement and Low ADC Value. AJNR Am J Neuroradiol 2015; 36:1846-52. [PMID: 26294653 DOI: 10.3174/ajnr.a4401] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2014] [Accepted: 03/02/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Subependymal enhancement and DWI have been reported to be useful MR imaging markers for identifying true progression. Our aim was to determine whether the subependymal enhancement pattern and ADC can differentiate true progression from pseudoprogression in patients with glioblastoma multiforme treated with concurrent chemoradiotherapy by using temozolomide. MATERIALS AND METHODS Forty-two patients with glioblastoma multiforme with newly developed or enlarged enhancing lesions on the first follow-up MR images obtained within 2 months of concurrent chemoradiotherapy completion were included. Subependymal enhancement was analyzed for the presence, location, and pattern (local or distant relative to enhancing lesions). The mean ADC value and the fifth percentile of the cumulative ADC histogram were determined. A multiple logistic regression analysis was performed to identify independent factors associated with true progression. RESULTS Distant subependymal enhancement (ie, extending >1 cm or isolated from the enhancing lesion) was significantly more common in true progression (n = 24) than in pseudoprogression (n = 18) (P = .042). The fifth percentile of the cumulative ADC histogram was significantly lower in true progression than in pseudoprogression (P = .014). Both the distant subependymal enhancement and the fifth percentile of the cumulative ADC histogram were independent factors associated with true progression (P = .041 and P = .033, respectively). Sensitivity and specificity for the diagnosis of true progression were 83% and 67%, respectively, by using both factors. CONCLUSIONS Both the distant subependymal enhancement and the fifth percentile of the cumulative ADC histogram were significant independent factors predictive of true progression.
Collapse
Affiliation(s)
- R-E Yoo
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S) Center for Nanoparticle Research (R.-E.Y., S.H.C.) Institute for Basic Science and School of Chemical and Biological Engineering (R.-E.Y., S.H.C.), Seoul National University, Seoul, Korea
| | - S H Choi
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S) Center for Nanoparticle Research (R.-E.Y., S.H.C.) Institute for Basic Science and School of Chemical and Biological Engineering (R.-E.Y., S.H.C.), Seoul National University, Seoul, Korea.
| | - T M Kim
- Departments of Internal Medicine (S.-H.L., T.M.K.)
| | - S-H Lee
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S)
| | - C-K Park
- Department of Neurosurgery (C.-K.P.), Biomedical Research Institute; Seoul National University College of Medicine, Seoul, Korea
| | - S-H Park
- Pathology (S.-H.P.) Departments of Internal Medicine (S.-H.L., T.M.K.)
| | - I H Kim
- Radiation Oncology (C.H.S., I.H.K.), Cancer Research Institute
| | - T J Yun
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S)
| | - J-H Kim
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S)
| | - C H Sohn
- From the Departments of Radiology (R.-E.Y., S.H.C., T.J.Y., J.-H.K, C.H.S) Radiation Oncology (C.H.S., I.H.K.), Cancer Research Institute
| |
Collapse
|
200
|
The Diagnostic Ability of Follow-Up Imaging Biomarkers after Treatment of Glioblastoma in the Temozolomide Era: Implications from Proton MR Spectroscopy and Apparent Diffusion Coefficient Mapping. BIOMED RESEARCH INTERNATIONAL 2015; 2015:641023. [PMID: 26448943 PMCID: PMC4584055 DOI: 10.1155/2015/641023] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 04/25/2015] [Accepted: 04/27/2015] [Indexed: 12/02/2022]
Abstract
Objective. To prospectively determine institutional cut-off values of apparent diffusion coefficients (ADCs) and concentration of tissue metabolites measured by MR spectroscopy (MRS) for early differentiation between glioblastoma (GBM) relapse and treatment-related changes after standard treatment. Materials and Methods. Twenty-four GBM patients who received gross total resection and standard adjuvant therapy underwent MRI examination focusing on the enhancing region suspected of tumor recurrence. ADC maps, concentrations of N-acetylaspartate, choline, creatine, lipids, and lactate, and metabolite ratios were determined. Final diagnosis as determined by biopsy or follow-up imaging was correlated to the results of advanced MRI findings. Results. Eighteen (75%) and 6 (25%) patients developed tumor recurrence and pseudoprogression, respectively. Mean time to radiographic progression from the end of chemoradiotherapy was 5.8 ± 5.6 months. Significant differences in ADC and MRS data were observed between those with progression and pseudoprogression. Recurrence was characterized by N-acetylaspartate ≤ 1.5 mM, choline/N-acetylaspartate ≥ 1.4 (sensitivity 100%, specificity 91.7%), N-acetylaspartate/creatine ≤ 0.7, and ADC ≤ 1300 × 10−6 mm2/s (sensitivity 100%, specificity 100%). Conclusion. Institutional validation of cut-off values obtained from advanced MRI methods is warranted not only for diagnosis of GBM recurrence, but also as enrollment criteria in salvage clinical trials and for reporting of outcomes of initial treatment.
Collapse
|