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Singh SB, Tiwari A, Katta MR, Kafle R, Ayubcha C, Patel KH, Bhattarai Y, Werner TJ, Alavi A, Revheim ME. The utility of PET imaging in depression. Front Psychiatry 2024; 15:1322118. [PMID: 38711875 PMCID: PMC11070570 DOI: 10.3389/fpsyt.2024.1322118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 03/28/2024] [Indexed: 05/08/2024] Open
Abstract
This educational review article aims to discuss growing evidence from PET studies in the diagnosis and treatment of depression. PET has been used in depression to explore the neurotransmitters involved, the alterations in neuroreceptors, non-neuroreceptor targets (e.g., microglia and astrocytes), the severity and duration of the disease, the pharmacodynamics of various antidepressants, and neurobiological mechanisms of non-pharmacological therapies like psychotherapy, electroconvulsive therapy, and deep brain stimulation therapy, by showing changes in brain metabolism and receptor and non-receptor targets. Studies have revealed alterations in neurotransmitter systems such as serotonin, dopamine, GABA, and glutamate, which are linked to the pathophysiology of depression. Overall, PET imaging has furthered the neurobiological understanding of depression. Despite these advancements, PET findings have not yet led to significant changes in evidence-based practices. Addressing the reasons behind inconsistencies in PET imaging results, conducting large sample size studies with a more standardized methodological approach, and investigating further the genetic and neurobiological aspects of depression may better leverage PET imaging in future studies.
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Affiliation(s)
- Shashi B. Singh
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
| | - Atit Tiwari
- BP Koirala Institute of Health Sciences, Dharan, Nepal
| | | | - Riju Kafle
- Rhythm Neuropsychiatry Hospital and Research Center Pvt. Ltd, Lalitpur, Nepal
| | - Cyrus Ayubcha
- Harvard Medical School, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Krishna H. Patel
- Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Yash Bhattarai
- Case Western Reserve University/The MetroHealth System, Cleveland, OH, United States
| | - Thomas J. Werner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Mona-Elisabeth Revheim
- The Intervention Center, Division of Technology and Innovation, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Ranjbarzadeh R, Caputo A, Tirkolaee EB, Jafarzadeh Ghoushchi S, Bendechache M. Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools. Comput Biol Med 2023; 152:106405. [PMID: 36512875 DOI: 10.1016/j.compbiomed.2022.106405] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 11/06/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Brain cancer is a destructive and life-threatening disease that imposes immense negative effects on patients' lives. Therefore, the detection of brain tumors at an early stage improves the impact of treatments and increases the patients survival rates. However, detecting brain tumors in their initial stages is a demanding task and an unmet need. METHODS The present study presents a comprehensive review of the recent Artificial Intelligence (AI) methods of diagnosing brain tumors using MRI images. These AI techniques can be divided into Supervised, Unsupervised, and Deep Learning (DL) methods. RESULTS Diagnosing and segmenting brain tumors usually begin with Magnetic Resonance Imaging (MRI) on the brain since MRI is a noninvasive imaging technique. Another existing challenge is that the growth of technology is faster than the rate of increase in the number of medical staff who can employ these technologies. It has resulted in an increased risk of diagnostic misinterpretation. Therefore, developing robust automated brain tumor detection techniques has been studied widely over the past years. CONCLUSION The current review provides an analysis of the performance of modern methods in this area. Moreover, various image segmentation methods in addition to the recent efforts of researchers are summarized. Finally, the paper discusses open questions and suggests directions for future research.
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Affiliation(s)
- Ramin Ranjbarzadeh
- School of Computing, Faculty of Engineering and Computing, Dublin City University, Ireland.
| | - Annalina Caputo
- School of Computing, Faculty of Engineering and Computing, Dublin City University, Ireland.
| | | | | | - Malika Bendechache
- Lero & ADAPT Research Centres, School of Computer Science, University of Galway, Ireland.
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Sugawara H, Ito K, Watanabe H, Morita T, Yatabe Y, Watanabe SI, Kusumoto M. Clinical usefulness of PET/MRI in differentiating anterior mediastinal masses. Nucl Med Commun 2022; 43:92-9. [PMID: 34887372 DOI: 10.1097/MNM.0000000000001483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To investigate the clinical usefulness of 18F-fluorodeoxyglucose (FDG) PET/MRI in differentiating anterior mediastinal lesions, including small ones. MATERIAL AND METHODS Among 96 patients who underwent 18F-FDG PET/MRI screening for anterior mediastinal lesions, we retrospectively reviewed images of 42 patients with histologically or clinically diagnosed thymic carcinomas, thymomas or anterior mediastinal cysts. MRI findings and maximum standardized uptake value (SUVmax) were compared among the three categories. In addition, small lesions measuring <3.0 cm which did not show very high signal intensity (isointense to water) on T2 weighted images (T2WI) were sub-analyzed. RESULTS Significant differences in SUVmax were observed among anterior mediastinal cysts (P < 0.001, vs. thymomas and thymic carcinomas), thymomas (P = 0.032, vs. thymic carcinomas) and thymic carcinomas. Regarding the MRI findings, anterior mediastinal cysts showed higher T2WI signal intensity (P = 0.004 vs. thymomas and P = 0.042 vs. thymic carcinomas) and thymic carcinomas tended to show ill-defined contours (P = 0.024 vs. anterior mediastinal cysts and P = 0.036 vs. thymomas). SUVmax was also significantly higher in small thymic tumors than small anterior mediastinal cysts without very high T2WI signal intensity (P = 0.003). CONCLUSION 18F-FDG PET/MRI is clinically useful in differentiating anterior mediastinal lesions, including those smaller than 3 cm.
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Zaccagna F, Grist JT, Quartuccio N, Riemer F, Fraioli F, Caracò C, Halsey R, Aldalilah Y, Cunningham CH, Massoud TF, Aloj L, Gallagher FA. Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances. Eur J Radiol 2021; 142:109842. [PMID: 34274843 DOI: 10.1016/j.ejrad.2021.109842] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/24/2021] [Indexed: 02/07/2023]
Abstract
Molecular imaging techniques have rapidly progressed over recent decades providing unprecedented in vivo characterization of metabolic pathways and molecular biomarkers. Many of these new techniques have been successfully applied in the field of neuro-oncological imaging to probe tumor biology. Targeting specific signaling or metabolic pathways could help to address several unmet clinical needs that hamper the management of patients with brain tumors. This review aims to provide an overview of the recent advances in brain tumor imaging using molecular targeting with positron emission tomography and magnetic resonance imaging, as well as the role in patient management and possible therapeutic implications.
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Affiliation(s)
- Fulvio Zaccagna
- Division of Neuroimaging, Department of Medical Imaging, University of Toronto, Toronto, Canada.
| | - James T Grist
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, United Kingdom; Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom; Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico Di Cristina Benfratelli, Palermo, Italy
| | - Frank Riemer
- Mohn Medical Imaging and Visualization Centre, University of Bergen, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Corradina Caracò
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Richard Halsey
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Yazeed Aldalilah
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom; Department of Radiology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Charles H Cunningham
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Tarik F Massoud
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Stanford, USA
| | - Luigi Aloj
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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Park K, Jung J, Choi Y, Leem H, Kim Y. Feasibility Study of a Time-of-Flight Brain Positron Emission Tomography Employing Individual Channel Readout Electronics. Sensors (Basel) 2021; 21:s21165566. [PMID: 34451008 PMCID: PMC8402256 DOI: 10.3390/s21165566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/13/2021] [Accepted: 08/15/2021] [Indexed: 11/16/2022]
Abstract
The purpose of this study was to investigate the feasibility of a time-of-flight (TOF) brain positron emission tomography (PET) providing high-quality images. It consisted of 30 detector blocks arranged in a ring with a diameter of 257 mm and an axial field of view of 52.2 mm. Each detector block was composed of two detector modules and two application-specific integrated circuit (ASIC) chips. The detector module was composed of an 8 × 8 array of 3 × 3 mm2 multi-pixel photon counters and an 8 × 8 array of 3.11 × 3.11 × 15 mm3 lutetium yttrium oxyorthosilicate scintillators. The 64-channel individual readout ASIC was used to acquire the position, energy, and time information of a detected gamma ray. A coincidence timing resolution of 187 ps full width at half maximum (FWHM) was achieved using a pair of channels of two detector modules. The energy resolution and spatial resolution were 6.6 ± 0.6% FWHM (without energy nonlinearity correction) and 2.5 mm FWHM, respectively. The results of this study demonstrate that the developed TOF brain PET could provide excellent performance, allowing for a reduction in radiation dose or scanning time for brain imaging due to improved sensitivity and signal-to-noise ratio.
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Nassar S, Taher A, Spear R, Wang F, Madewell JE, Mujtaba B. Multiple Myeloma: Role of Imaging in Diagnosis, Staging, and Treatment Response Assessment. Semin Ultrasound CT MR 2020; 42:184-193. [PMID: 33814104 DOI: 10.1053/j.sult.2020.08.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Multiple myeloma is a common hematologic malignancy of plasma cells. Differentiating multiple myeloma from the precursor stages of monoclonal gammopathy of undetermined significance and smoldering multiple myeloma is very important because the treatment approach is different for each. The diagnosis is mainly clinical, while the role of imaging is confined to the staging process, assessing response to therapy, and monitoring for disease progression. In this article, we examine the role of different imaging modalities in patients with multiple myeloma.
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Affiliation(s)
- Sameh Nassar
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ahmed Taher
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Rosario Spear
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - John E Madewell
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bilal Mujtaba
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
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Wang YH, An Y, Fan XT, Lu J, Ren LK, Wei PH, Cui BX, Du JL, Lu C, Wang D, Zhang HQ, Shan YZ, Zhao GG. Comparison between simultaneously acquired arterial spin labeling and 18F-FDG PET in mesial temporal lobe epilepsy assisted by a PET/MR system and SEEG. Neuroimage Clin 2018; 19:824-830. [PMID: 30013926 PMCID: PMC6024198 DOI: 10.1016/j.nicl.2018.06.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 06/02/2018] [Accepted: 06/04/2018] [Indexed: 11/26/2022]
Abstract
Objective In the detection of seizure onset zones, arterial spin labeling (ASL) can overcome the limitations of positron emission tomography (PET) with 18F-fluorodeoxyglucose (18F-FDG), which is invasive, expensive, and radioactive. PET/magnetic resonance (MR) systems have been introduced that allow simultaneous performance of ASL and PET, but comparisons of these techniques with stereoelectroencephalography (SEEG) and comparisons among the treatment outcomes of these techniques are still lacking. Here, we investigate the effectiveness of ASL compared with that of SEEG and their outcomes in localizing mesial temporal lobe epilepsy (MTLE) and assess the correlation between simultaneously acquired PET and ASL. Methods Between October 2016 and August 2017, we retrospectively studied 12 patients diagnosed with pure unilateral MTLE. We extracted and quantitatively computed values for ASL and PET in the bilateral hippocampus. SEEG findings and outcome were considered the gold standard of lateralization. Finally, the bilateral asymmetry index (AI) was calculated to assess the correlation between PET and ASL. Results Our results showed that hypoperfusion in the hippocampus detected using ASL matched the SEEG-defined epileptogenic zone in this series of patients. The mean normalized voxel value of ASL in the contralateral hippocampus was 0.97 ± 0.19, while in the ipsilateral hippocampus, it was 0.84 ± 0.14. Meanwhile, significantly decreased perfusion and metabolism were observed in these patients (Wilcoxon, p < 0.05), with a significant positive correlation between the AI values derived from PET and ASL (Pearson's correlation, r = 0.74, p < 0.05). Significance In our SEEG- and outcome-defined patients with MTLE, ASL could provide significant information during presurgical evaluation, with the hypoperfusion detected with ASL reliably lateralizing MTLE. This non-invasive technique may be used as an alternative diagnostic tool for MTLE lateralization. ASL has been increasingly used in presurgical evaluations in epilepsy recent years. Comparisons of ASL and PET with a PET/MR system using SEEG and treatment outcomes as gold-standard are still lacking. Decreased perfusion consistent with hypometabolism and SEEG was observed with ASL. ASL offers an effective non-invasive alternative to PET in evaluation of MTLE.
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Affiliation(s)
- Yi-He Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yang An
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xiao-Tong Fan
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Lian-Kun Ren
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Peng-Hu Wei
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Bi-Xiao Cui
- Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Jia-Lin Du
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Chao Lu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Di Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Hua-Qiang Zhang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yong-Zhi Shan
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
| | - Guo-Guang Zhao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Center of Epilepsy, Beijing Institute for Brain Disorder, Beijing 100069, China.
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Stecco A, Buemi F, Iannessi A, Carriero A, Gallamini A. Current concepts in tumor imaging with whole-body MRI with diffusion imaging (WB-MRI-DWI) in multiple myeloma and lymphoma. Leuk Lymphoma 2018; 59:2546-2556. [PMID: 29431555 DOI: 10.1080/10428194.2018.1434881] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Whole-body MRI (WB-MRI) with diffusion-weighted imaging (DWI) can now be used to stage and restage multiple myeloma (MM) and lymphoma. Magnetic resonance imaging (MRI) is the standard tool to detect BM involvement (BMI). The 2016 diagnostic criteria of the International Myeloma Working Group identify WB-MRI and fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) as the most sensitive imaging techniques for detecting skeletal and extra-skeletal MM invasion, respectively. Preliminary findings have also shown that WB-MRI is better than CT and equal to PET/CT in staging aggressive lymphoma and Hodgkin lymphoma, whereas MRI is better for diagnosing BMI in patients with low-grade lymphoma. Signal intensity (SI) and the apparent diffusion coefficient (ADC) are useful metrics to quantify the chemotherapy response in WB-MRI.
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Affiliation(s)
- Alessandro Stecco
- a Services Diagnosis and Therapies Department - Radiology , Azienda Ospedaliero-Universitaria Maggiore della Carita , Novara , Italy
| | - Francesco Buemi
- b Radiologic Department , L'Azienda Ospedaliera Ospedali Riuniti Papardo Piemonte , Messina , Italy
| | - Antoine Iannessi
- c Radiology Department , Centre Antoine-Lacassagne , Nice , France
| | - Alessandro Carriero
- a Services Diagnosis and Therapies Department - Radiology , Azienda Ospedaliero-Universitaria Maggiore della Carita , Novara , Italy
| | - Andrea Gallamini
- d Research, Innovation and Statistics Department , Centre Antoine-Lacassagne , Nice , France
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Tan D, Lee JH, Chen W, Shimizu K, Hou J, Suzuki K, Nawarawong W, Huang SY, Sang Chim C, Kim K, Kumar L, Malhotra P, Chng WJ, Durie B. Recent advances in the management of multiple myeloma: clinical impact based on resource-stratification. Consensus statement of the Asian Myeloma Network at the 16th international myeloma workshop. Leuk Lymphoma 2018; 59:2305-2317. [PMID: 29390932 DOI: 10.1080/10428194.2018.1427858] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Predicated on our improved understanding of the disease biology, we have seen remarkable advances in the management of multiple myeloma over the past few years. Recently approved drugs have radically transformed the treatment paradigm and improved survivals of myeloma patients. The progress has necessitated revision of the diagnostic criteria, risk-stratification and response definition. The huge disparities in economy, healthcare infrastructure and access to novel drugs among different Asian countries will hinder the delivery of optimum myeloma care to patients managed in resource-constrained environments. In the light of the tremendous recent changes and evolution in myeloma management, it is timely that the resource-stratified guidelines from the Asian Myeloma Network be revised to provide updated recommendations for Asia physicians practicing under various healthcare reimbursement systems. This review will highlight the most recent advances and our recommendations on how they could be integrated in both resource-abundant and resource-constrained facilities.
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Affiliation(s)
- Daryl Tan
- a Raffles Cancer Center , Raffles Hospital , Singapore.,b Department of Hematology , Singapore General Hospital , Singapore
| | - Jae Hoon Lee
- c Gil Hospital, Gachon University , Incheon , South Korea
| | - Wenming Chen
- d Beijing Chaoyang Hospital, Capital Medical University , Beijing , China
| | - Kazuyuki Shimizu
- e Higashi Nagoya National Hospital , National Hospital Organization , Nagoya , Japan
| | - Jian Hou
- f Department of Haematology , Changzheng Hospital, The Second Military Medical University , Shanghai , China
| | - Kenshi Suzuki
- g Department of Hematology , Japanese Red Cross Medical Center , Tokyo , Japan
| | | | | | - Chor Sang Chim
- j Queen Mary Hospital, University of Hong Kong , Hong Kong , China
| | - Kihyun Kim
- k Samsung Medical Center , Sungkyunkwan University , Seoul , South Korea
| | - Lalit Kumar
- l Department of Medical Oncology , Institute Rotary Cancer Hospital, All India Institute of Medical Sciences , New Delhi , India
| | - Pankaj Malhotra
- m Department of Internal Medicine , Postgraduate Institute of Medical Education and Research , Chandigarh , India
| | - Wee Joo Chng
- n Cancer Science Institute of Singapore , National University of Singapore , Singapore.,o Department of Haematology-Oncology , National University Cancer Institute of Singapore National University Health System , Singapore
| | - Brian Durie
- p Cedars-Sinai Comprehensive Cancer Center , Los Angeles , CA , USA
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Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P, Munshi N, Lonial S, Bladé J, Mateos MV, Dimopoulos M, Kastritis E, Boccadoro M, Orlowski R, Goldschmidt H, Spencer A, Hou J, Chng WJ, Usmani SZ, Zamagni E, Shimizu K, Jagannath S, Johnsen HE, Terpos E, Reiman A, Kyle RA, Sonneveld P, Richardson PG, McCarthy P, Ludwig H, Chen W, Cavo M, Harousseau JL, Lentzsch S, Hillengass J, Palumbo A, Orfao A, Rajkumar SV, Miguel JS, Avet-Loiseau H. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol 2017; 17:e328-e346. [PMID: 27511158 DOI: 10.1016/s1470-2045(16)30206-6] [Citation(s) in RCA: 1645] [Impact Index Per Article: 235.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 05/21/2016] [Accepted: 05/24/2016] [Indexed: 12/16/2022]
Abstract
Treatment of multiple myeloma has substantially changed over the past decade with the introduction of several classes of new effective drugs that have greatly improved the rates and depth of response. Response criteria in multiple myeloma were developed to use serum and urine assessment of monoclonal proteins and bone marrow assessment (which is relatively insensitive). Given the high rates of complete response seen in patients with multiple myeloma with new treatment approaches, new response categories need to be defined that can identify responses that are deeper than those conventionally defined as complete response. Recent attempts have focused on the identification of residual tumour cells in the bone marrow using flow cytometry or gene sequencing. Furthermore, sensitive imaging techniques can be used to detect the presence of residual disease outside of the bone marrow. Combining these new methods, the International Myeloma Working Group has defined new response categories of minimal residual disease negativity, with or without imaging-based absence of extramedullary disease, to allow uniform reporting within and outside clinical trials. In this Review, we clarify several aspects of disease response assessment, along with endpoints for clinical trials, and highlight future directions for disease response assessments.
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Affiliation(s)
- Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
| | - Bruno Paiva
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Pamplona, Spain
| | | | - Brian Durie
- Cedars-Sinai Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ola Landgren
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | | | | | - Meletios Dimopoulos
- Department of Clinical Therapeutics, University of Athens, School of Medicine, Athens, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, University of Athens, School of Medicine, Athens, Greece
| | - Mario Boccadoro
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Citta della Salute e della Scienza di Torino, Torino, Italy; Mount Sinai Cancer Institute, New York, NY, USA
| | | | - Hartmut Goldschmidt
- Department of Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | | | - Jian Hou
- Chang Zheng Hospital, Shanghai, China
| | | | - Saad Z Usmani
- Levine Cancer Institute, Carolinas HealthCare System, Charlotte, NC, USA
| | - Elena Zamagni
- Seragnoli Institute of Hematology, Bologna University School of Medicine, Bologna, Italy
| | | | | | - Hans E Johnsen
- Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Evangelos Terpos
- Department of Clinical Therapeutics, University of Athens, School of Medicine, Athens, Greece
| | - Anthony Reiman
- Dalhousie University Medical School, Dalhousie, Nova Scotia, Canada
| | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Heinz Ludwig
- Wilhelminenspital Der Stat Wien, Vienna, Austria
| | | | - Michele Cavo
- Seragnoli Institute of Hematology, Bologna University School of Medicine, Bologna, Italy
| | | | | | - Jens Hillengass
- Department of Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - Antonio Palumbo
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Citta della Salute e della Scienza di Torino, Torino, Italy
| | - Alberto Orfao
- University Hospital of Salamanca/IBSAL, Salamanca, Spain
| | | | - Jesus San Miguel
- Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), Pamplona, Spain
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Borghi G, Peet BJ, Tabacchini V, Schaart DR. A 32 mm × 32 mm × 22 mm monolithic LYSO:Ce detector with dual-sided digital photon counter readout for ultrahigh-performance TOF-PET and TOF-PET/MRI. Phys Med Biol 2016; 61:4929-49. [PMID: 27286232 DOI: 10.1088/0031-9155/61/13/4929] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
New applications for positron emission tomography (PET) and combined PET/magnetic resonance imaging (MRI) are currently emerging, for example in the fields of neurological, breast, and pediatric imaging. Such applications require improved image quality, reduced dose, shorter scanning times, and more precise quantification. This can be achieved by means of dedicated scanners based on ultrahigh-performance detectors, which should provide excellent spatial resolution, precise depth-of-interaction (DOI) estimation, outstanding time-of-flight (TOF) capability, and high detection efficiency. Here, we introduce such an ultrahigh-performance TOF/DOI PET detector, based on a 32 mm × 32 mm × 22 mm monolithic LYSO:Ce crystal. The 32 mm × 32 mm front and back faces of the crystal are coupled to a digital photon counter (DPC) array, in so-called dual-sided readout (DSR) configuration. The fully digital detector offers a spatial resolution of ~1.1 mm full width at half maximum (FWHM)/~1.2 mm mean absolute error, together with a DOI resolution of ~2.4 mm FWHM, an energy resolution of 10.2% FWHM, and a coincidence resolving time of 147 ps FWHM. The time resolution closely approaches the best results (135 ps FWHM) obtained to date with small crystals made from the same material coupled to the same DPC arrays, illustrating the excellent correction for optical and electronic transit time spreads that can be achieved in monolithic scintillators using maximum-likelihood techniques for estimating the time of interaction. The performance barely degrades for events with missing data (up to 6 out of 32 DPC dies missing), permitting the use of almost all events registered under realistic acquisition conditions. Moreover, the calibration procedures and computational methods used for position and time estimation follow recently made improvements that make them fast and practical, opening up realistic perspectives for using DSR monolithic scintillator detectors in TOF-PET and TOF-PET/MRI systems.
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Boscolo Galazzo I, Mattoli MV, Pizzini FB, De Vita E, Barnes A, Duncan JS, Jäger HR, Golay X, Bomanji JB, Koepp M, Groves AM, Fraioli F. Cerebral metabolism and perfusion in MR-negative individuals with refractory focal epilepsy assessed by simultaneous acquisition of (18)F-FDG PET and arterial spin labeling. Neuroimage Clin 2016; 11:648-57. [PMID: 27222796 DOI: 10.1016/j.nicl.2016.04.005] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 03/24/2016] [Accepted: 04/08/2016] [Indexed: 01/18/2023]
Abstract
The major challenge in pre-surgical epileptic patient evaluation is the correct identification of the seizure onset area, especially in MR-negative patients. In this study, we aimed to: (1) assess the concordance between perfusion, from ASL, and metabolism, from 18F-FDG, acquired simultaneously on PET/MR; (2) verify the utility of a statistical approach as supportive diagnostic tool for clinical readers. Secondarily, we compared 18F-FDG PET data from the hybrid PET/MR system with those acquired with PET/CT, with the purpose of validate the reliability of 18F-FDG PET/MR data. Twenty patients with refractory focal epilepsy, negative MR and a defined electro-clinical diagnosis underwent PET/MR, immediately followed by PET/CT. Standardized uptake value ratio (SUVr) and cerebral blood flow (CBF) maps were calculated for PET/CT-PET/MR and ASL, respectively. For all techniques, z-score of the asymmetry index (zAI) was applied for depicting significant Right/Left differences. SUVr and CBF images were firstly visually assessed by two neuroimaging readers, who then re-assessed them considering zAI for reaching a final diagnosis. High agreement between 18F-FDG PET/MR and ASL was found, showing hypometabolism and hypoperfusion in the same hemisphere in 18/20 patients, while the remaining were normal. They were completely concordant in 14/18, concordant in at least one lobe in the remaining. zAI maps improved readers' confidence in 12/20 and 15/20 patients for 18F-FDG PET/MR and ASL, respectively. 18F-FDG PET/CT-PET/MR showed high agreement, especially when zAI was considered. The simultaneous metabolism-perfusion acquisition provides excellent concordance on focus lateralisation and good concordance on localisation, determining useful complementary information. Simultaneous PET/MR to evaluate cerebral perfusion and glucose metabolism in MR-negative refractory focal epilepsy patients. ASL and 18F-FDG PET/MR showed excellent concordance on lateralisation and good concordance on localisation of focus. ASL and 18F-FDG PET/MR can provide complementary information for focus localisation. An individually-tailored z-score approach can allow a better identification of the epileptic focus.
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Sachpekidis C, Hillengass J, Goldschmidt H, Mosebach J, Pan L, Schlemmer HP, Haberkorn U, Dimitrakopoulou-Strauss A. Comparison of (18)F-FDG PET/CT and PET/MRI in patients with multiple myeloma. Am J Nucl Med Mol Imaging 2015; 5:469-478. [PMID: 26550538 PMCID: PMC4620174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 06/12/2015] [Indexed: 06/05/2023]
Abstract
PET/MRI represents a promising hybrid imaging modality with several potential clinical applications. Although PET/MRI seems highly attractive in the diagnostic approach of multiple myeloma (MM), its role has not yet been evaluated. The aims of this prospective study are to evaluate the feasibility of (18)F-FDG PET/MRI in detection of MM lesions, and to investigate the reproducibility of bone marrow lesions detection and quantitative data of (18)F-FDG uptake between the functional (PET) component of PET/CT and PET/MRI in MM patients. The study includes 30 MM patients. All patients initially underwent (18)F-FDG PET/CT (60 min p.i.), followed by PET/MRI (120 min p.i.). PET/CT and PET/MRI data were assessed and compared based on qualitative (lesion detection) and quantitative (SUV) evaluation. The hybrid PET/MRI system provided good image quality in all cases without artefacts. PET/MRI identified 65 of the 69 lesions, which were detectable with PET/CT (94.2%). Quantitative PET evaluations showed the following mean values in MM lesions: SUVaverage=5.5 and SUVmax=7.9 for PET/CT; SUVaverage=3.9 and SUVmax=5.8 for PET/MRI. Both SUVaverage and SUVmax were significantly higher on PET/CT than on PET/MRI. Spearman correlation analysis demonstrated a strong correlation between both lesional SUVaverage (r=0.744) and lesional SUVmax (r=0.855) values derived from PET/CT and PET/MRI. Regarding detection of myeloma skeletal lesions, PET/MRI exhibited equivalent performance to PET/CT. In terms of tracer uptake quantitation, a significant correlation between the two techniques was demonstrated, despite the statistically significant differences in lesional SUVs between PET/CT and PET/MRI.
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Affiliation(s)
- Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ)Heidelberg, Germany
| | - Jens Hillengass
- Department of Hematology and Oncology, University Hospital of HeidelbergHeidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Hematology and Oncology, University Hospital of HeidelbergHeidelberg, Germany
| | - Jennifer Mosebach
- Department of Radiology, German Cancer Research Center (DKFZ)Heidelberg, Germany
| | - Leyun Pan
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ)Heidelberg, Germany
| | | | - Uwe Haberkorn
- Division of Nuclear Medicine, University Clinic HeidelbergHeidelberg, Germany
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Dimopoulos MA, Hillengass J, Usmani S, Zamagni E, Lentzsch S, Davies FE, Raje N, Sezer O, Zweegman S, Shah J, Badros A, Shimizu K, Moreau P, Chim CS, Lahuerta JJ, Hou J, Jurczyszyn A, Goldschmidt H, Sonneveld P, Palumbo A, Ludwig H, Cavo M, Barlogie B, Anderson K, Roodman GD, Rajkumar SV, Durie BG, Terpos E. Role of Magnetic Resonance Imaging in the Management of Patients With Multiple Myeloma: A Consensus Statement. J Clin Oncol 2015; 33:657-64. [DOI: 10.1200/jco.2014.57.9961] [Citation(s) in RCA: 277] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Purpose The aim of International Myeloma Working Group was to develop practical recommendations for the use of magnetic resonance imaging (MRI) in multiple myeloma (MM). Methods An interdisciplinary panel of clinical experts on MM and myeloma bone disease developed recommendations for the value of MRI based on data published through March 2014. Recommendations MRI has high sensitivity for the early detection of marrow infiltration by myeloma cells compared with other radiographic methods. Thus, MRI detects bone involvement in patients with myeloma much earlier than the myeloma-related bone destruction, with no radiation exposure. It is the gold standard for the imaging of axial skeleton, for the evaluation of painful lesions, and for distinguishing benign versus malignant osteoporotic vertebral fractures. MRI has the ability to detect spinal cord or nerve compression and presence of soft tissue masses, and it is recommended for the workup of solitary bone plasmacytoma. Regarding smoldering or asymptomatic myeloma, all patients should undergo whole-body MRI (WB-MRI; or spine and pelvic MRI if WB-MRI is not available), and if they have > one focal lesion of a diameter > 5 mm, they should be considered to have symptomatic disease that requires therapy. In cases of equivocal small lesions, a second MRI should be performed after 3 to 6 months, and if there is progression on MRI, the patient should be treated as having symptomatic myeloma. MRI at diagnosis of symptomatic patients and after treatment (mainly after autologous stem-cell transplantation) provides prognostic information; however, to date, this does not change treatment selection.
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Affiliation(s)
- Meletios A. Dimopoulos
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Jens Hillengass
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Saad Usmani
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Elena Zamagni
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Suzanne Lentzsch
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Faith E. Davies
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Noopur Raje
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Orhan Sezer
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Sonja Zweegman
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Jatin Shah
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Ashraf Badros
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Kazuyuki Shimizu
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Philippe Moreau
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Chor-Sang Chim
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Juan José Lahuerta
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Jian Hou
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Artur Jurczyszyn
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Hartmut Goldschmidt
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Pieter Sonneveld
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Antonio Palumbo
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Heinz Ludwig
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Michele Cavo
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Bart Barlogie
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Kenneth Anderson
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - G. David Roodman
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - S. Vincent Rajkumar
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Brian G.M. Durie
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
| | - Evangelos Terpos
- Meletios A. Dimopoulos and Evangelos Terpos, National and Kapodistrian University of Athens School of Medicine, Athens, Greece; Jens Hillengass and Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany; Saad Usmani, Carolinas Healthcare System, Charlotte, NC; Elena Zamagni and Michele Cavo, Bologna University School of Medicine, Bologna; Antonio Palumbo, S. Giovanni Battista Hospital, University of Turin, Turin, Italy; Suzanne Lentzsch, Columbia University College of Physicians and
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Freesmeyer M, Winkens T, Kühnel C. Real-time handheld emission spot allocator (rthESA) for simultaneous fusion imaging with ultrasound. Nuklearmedizin 2014; 53:265-71. [PMID: 25056639 DOI: 10.3413/nukmed-0681-14-06] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 07/20/2014] [Indexed: 02/04/2023]
Abstract
OBJECTIVES First, to report on initial experiences and technical parameters of a newly developed real-time handheld emission spot allocator (rthESA), and second, to report on the simultaneous acquisition of rthESA and US data as rthESA/US fusion images. METHODS The rthESA consisted of five semiconductor-detectors arranged in alternate position in two rows. This design allowed the examination of focal activities in the same plane as US. The signals were interpreted by an ad hoc software and the real-time allocation of spot radiation sources within air- and water phantoms was investigated for (99m)Tc, 131I, and 18F. A compact US probe was fixed in plane with the rthESA and connected to a standard US equipment. Experiments with a liver phantom were performed to verify the integration of (99m)Tc-rthESA data and US images. RESULTS The allocation proved to be successful for all radionuclides. The system showed a noticeable performance latency, most pronounced for positions far from the detector (1 cm distance: 0.7 ± 0.5 s; 4 cm distance: 6.1 ± 3.2 s). Within the liver phantom, the rthESA enabled the correct allocation of a spot radiation source within a live US image. CONCLUSIONS The rthESA allowed an exact localization of spot radiation sources in single plane, with additional consideration of the distance from the detector, leading to real-time allocation and simultaneous overlay with US images. In spite of clear technical limitations in need of further development, this proof-of-concept study shows that this hybrid detector has the potential to provide integrated simultaneous nuclear medicine and US images.
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Affiliation(s)
- M Freesmeyer
- Martin Freesmeyer, M.D., Clinic of Nuclear Medicine, Jena University Hospital, Bachstraße 18, 07743 Jena, Germany, Tel. +49/(0)36 41/93 32 20, Fax +49/(0)36 41/93 32 44, E-mail:
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Chowdhury R, Ganeshan B, Irshad S, Lawler K, Eisenblätter M, Milewicz H, Rodriguez-Justo M, Miles K, Ellis P, Groves A, Punwani S, Ng T. The use of molecular imaging combined with genomic techniques to understand the heterogeneity in cancer metastasis. Br J Radiol 2014; 87:20140065. [PMID: 24597512 PMCID: PMC4075563 DOI: 10.1259/bjr.20140065] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 03/03/2014] [Indexed: 01/10/2023] Open
Abstract
Tumour heterogeneity has, in recent times, come to play a vital role in how we understand and treat cancers; however, the clinical translation of this has lagged behind advances in research. Although significant advancements in oncological management have been made, personalized care remains an elusive goal. Inter- and intratumour heterogeneity, particularly in the clinical setting, has been difficult to quantify and therefore to treat. The histological quantification of heterogeneity of tumours can be a logistical and clinical challenge. The ability to examine not just the whole tumour but also all the molecular variations of metastatic disease in a patient is obviously difficult with current histological techniques. Advances in imaging techniques and novel applications, alongside our understanding of tumour heterogeneity, have opened up a plethora of non-invasive biomarker potential to examine tumours, their heterogeneity and the clinical translation. This review will focus on how various imaging methods that allow for quantification of metastatic tumour heterogeneity, along with the potential of developing imaging, integrated with other in vitro diagnostic approaches such as genomics and exosome analyses, have the potential role as a non-invasive biomarker for guiding the treatment algorithm.
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Affiliation(s)
- R Chowdhury
- Richard Dimbleby Department of Cancer Research, Randall Division of Cell and Molecular Biophysics, King's College London, London, UK
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