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Wamelink IJHG, Azizova A, Booth TC, Mutsaerts HJMM, Ogunleye A, Mankad K, Petr J, Barkhof F, Keil VC. Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy? Radiology 2024; 310:e230793. [PMID: 38319162 PMCID: PMC10902600 DOI: 10.1148/radiol.230793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 02/07/2024]
Abstract
Gadolinium-based contrast agents (GBCAs) form the cornerstone of current primary brain tumor MRI protocols at all stages of the patient journey. Though an imperfect measure of tumor grade, GBCAs are repeatedly used for diagnosis and monitoring. In practice, however, radiologists will encounter situations where GBCA injection is not needed or of doubtful benefit. Reducing GBCA administration could improve the patient burden of (repeated) imaging (especially in vulnerable patient groups, such as children), minimize risks of putative side effects, and benefit costs, logistics, and the environmental footprint. On the basis of the current literature, imaging strategies to reduce GBCA exposure for pediatric and adult patients with primary brain tumors will be reviewed. Early postoperative MRI and fixed-interval imaging of gliomas are examples of GBCA exposure with uncertain survival benefits. Half-dose GBCAs for gliomas and T2-weighted imaging alone for meningiomas are among options to reduce GBCA use. While most imaging guidelines recommend using GBCAs at all stages of diagnosis and treatment, non-contrast-enhanced sequences, such as the arterial spin labeling, have shown a great potential. Artificial intelligence methods to generate synthetic postcontrast images from decreased-dose or non-GBCA scans have shown promise to replace GBCA-dependent approaches. This review is focused on pediatric and adult gliomas and meningiomas. Special attention is paid to the quality and real-life applicability of the reviewed literature.
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Affiliation(s)
- Ivar J. H. G. Wamelink
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Aynur Azizova
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Thomas C. Booth
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Henk J. M. M. Mutsaerts
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Afolabi Ogunleye
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Kshitij Mankad
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Jan Petr
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Frederik Barkhof
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Vera C. Keil
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
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Han T, Liu X, Jing M, Zhang Y, Zhang B, Deng L, Zhou J. ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index. Acta Radiol 2023; 64:3032-3041. [PMID: 37822165 DOI: 10.1177/02841851231205151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
BACKGROUND Preoperative differentiation of atypical meningioma (AtM) from transitional meningioma (TrM) is critical to clinical treatment. PURPOSE To investigate the role of apparent diffusion coefficient (ADC) histogram analysis in differentiating AtM from TrM and its correlation with the Ki-67 proliferation index (PI). METHODS Clinical, imaging, and pathological data of 78 AtM and 80 TrM were retrospectively collected. Regions of interest (ROIs) were delineated on axial ADC images using MaZda software and histogram parameters (mean, variance, skewness, kurtosis, 1st percentile [ADCp1], 10th percentile [ADCp10], 50th percentile [ADCp50], 90th percentile [ADCp90], and 99th percentile [ADCp99]) were generated. The Mann-Whitney U test was used to compare the differences in histogram parameters between the two groups; receiver operating characteristic (ROC) curves were used to assess diagnostic efficacy in differentiating AtM from TrM preoperatively. The correlation between histogram parameters and Ki-67 PI was analyzed. RESULTS All histogram parameters of AtM were lower than those of TrM, and the variance, skewness, kurtosis, ADCp90, and ADCp99 were significantly different (P < 0.05). Combined ADC histogram parameters (variance, skewness, kurtosis, ADCp90, and ADCp99) achieved the best diagnostic performance for distinguishing AtM from TrM. Area under the curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 0.800%, 76.25%, 67.95%, 70.15%, 70.93%, and 73.61%, respectively. All histogram parameters were negatively correlated with Ki-67 PI (r = -0.012 to -0.293). CONCLUSION ADC histogram analysis is a potential tool for non-invasive differentiation of AtM from TrM preoperatively, and ADC histogram parameters were negatively correlated with the Ki-67 PI.
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Affiliation(s)
- Tao Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Xianwang Liu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Mengyuan Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Yuting Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Bin Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Liangna Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, PR China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, PR China
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