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Van Weehaeghe D, Lapauw B, Fraioli F, Cecchin D, Verger A, Guedj E, Albert NL, Brendel M, Yakushev I, Barthel H, Traub-Weidinger T, Tolboom N, Giessen EVD. EANM position on positron emission tomography in suspected functional pituitary neuroendocrine tumours. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06728-4. [PMID: 38687371 DOI: 10.1007/s00259-024-06728-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Affiliation(s)
- Donatienne Van Weehaeghe
- Department of Radiology and Nuclear Medicine, Ghent University hospital, C. Heymanslaan 10, Ghent, 9000, Belgium.
| | - Bruno Lapauw
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Diego Cecchin
- Department of Medicine, Unit of Nuclear Medicine, University Hospital of Padova, Padova, Italy
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, IADI, INSERM U1254, Nancy, F- 54000, France
| | - Eric Guedj
- APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, Nuclear Medicine Department, Aix Marseille Univ, Marseille, France
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, German Center for Neurodegenerative Diseases (DZNE), Munich Cluster for Systems Neurology (SyNergy), LMU Hospital, LMU Munich, Munich, Germany
| | - Igor Yakushev
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Elsmarieke Van De Giessen
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
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2
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Porter JC, Ganeshan B, Win T, Fraioli F, Khan S, Rodriguez-Justo M, Endozo R, Shortman RI, Hoy LR, Maher TM, Groves AM. [ 18F]FDG PET/CT Signal Correlates with Neoangiogenesis Markers in Patients with Fibrotic Interstitial Lung Disease Who Underwent Lung Biopsy: Implication for the Use of PET/CT in Diffuse Lung Diseases. J Nucl Med 2024; 65:617-622. [PMID: 38485275 PMCID: PMC10995524 DOI: 10.2967/jnumed.123.266445] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 01/11/2024] [Indexed: 04/04/2024] Open
Abstract
The use of [18F]FDG PET/CT as a biomarker in diffuse lung diseases is increasingly recognized. We investigated the correlation between [18F]FDG uptake with histologic markers on lung biopsy of patients with fibrotic interstitial lung disease (fILD). Methods: We recruited 18 patients with fILD awaiting lung biopsy for [18F]FDG PET/CT. We derived a target-to-background ratio (TBR) of maximum pulmonary uptake of [18F]FDG (SUVmax) divided by the lung background (SUVmin). Consecutive paraffin-embedded lung biopsy sections were immunostained for alveolar and interstitial macrophages (CD68), microvessel density (MVD) (CD31 and CD105/endoglin), and glucose transporter 1. MVD was expressed as vessel area percentage per high-power field (Va%/hpf). Differences in imaging and angiogenesis markers between histologic usual interstitial pneumonia (UIP) and non-UIP were assessed using a nonparametric Mann-Whitney test. Correlation of imaging with angiogenesis markers was assessed using the nonparametric Spearman rank correlation. Univariate Kaplan-Meier survival analysis assessed the difference in the survival curves for each of the angiogenesis markers (separated by their respective optimal cutoff) using the log-rank test. Statistical analysis was performed using SPSS. Results: In total, 18 patients were followed for an average of 41.36 mo (range, 5.69-132.46 mo; median, 30.07 mo). Only CD105 MVD showed a significantly positive correlation with [18F]FDG TBR (Spearman rank correlation, 0.556; P < 0.05, n = 13). There was no correlation between [18F]FDG uptake and macrophage expression of glucose transporter 1. CD105 and CD31 were higher for UIP than for non-UIP, with CD105 reaching statistical significance (P = 0.011). In all patients, MVD assessed with either CD105 or CD31 quantification on biopsy predicted overall survival. Patients with CD105 MVD of less than 12 Va%/hpf or CD31 MVD of less than 35 Va%/hpf had a significantly better prognosis (no deaths during follow-up in the case of CD105) than did patients with higher scores of CD105 MVD (median survival, 35 mo; P = 0.041, n = 13) or CD31 MVD (median survival, 28 mo; P = 0.014, n = 13). Conclusion: Previous work has used [18F]FDG uptake in PET/CT as a biomarker in fILD. Here, we highlight a correlation between angiogenesis and [18F]FDG TBR. We show that MVD is higher for UIP than for non-UIP and is associated with mortality in patients with fILD. These data set the scene to investigate the potential role of vasculature and angiogenesis in fibrosis.
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Affiliation(s)
- Joanna C Porter
- CITR, UCL Respiratory, University College London, London, United Kingdom;
- Interstitial Lung Disease Centre, University College London Hospital, London, United Kingdom
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
| | - Thida Win
- Lister Hospital, North East Herts Trust, Stevenage, United Kingdom
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
| | - Saif Khan
- Research Department of Pathology, University College London, and Department of Histopathology, University College London Hospital, London, United Kingdom; and
| | - Manuel Rodriguez-Justo
- Research Department of Pathology, University College London, and Department of Histopathology, University College London Hospital, London, United Kingdom; and
| | - Raymond Endozo
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
| | - Robert I Shortman
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
| | - Luke R Hoy
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
| | - Toby M Maher
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London and University College London Hospital, London, United Kingdom
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Fraioli F, Albert N, Boellaard R, Galazzo IB, Brendel M, Buvat I, Castellaro M, Cecchin D, Fernandez PA, Guedj E, Hammers A, Kaplar Z, Morbelli S, Papp L, Shi K, Tolboom N, Traub-Weidinger T, Verger A, Van Weehaeghe D, Yakushev I, Barthel H. Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging. Eur J Nucl Med Mol Imaging 2024; 51:1007-1011. [PMID: 38097746 DOI: 10.1007/s00259-023-06553-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- Francesco Fraioli
- Institute of Nuclear Medicine, University College London Hospitals, 5Th Floor UCH, 235 Euston Rd, London, NW1 2BU, UK.
| | - Nathalie Albert
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | | | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Irene Buvat
- Institut Curie - Inserm Laboratory of Translational Imaging in Oncology, Paris, France
| | - Marco Castellaro
- Department of Information Engineering, University-Hospital of Padova, Padua, Italy
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine - DIMED, University-Hospital of Padova, Padua, Italy
| | - Pablo Aguiar Fernandez
- CIMUS, Universidade Santiago de Compostela & Nuclear Medicine Dept, Univ. Hospital IDIS, Santiago de Compostela, Spain
| | - Eric Guedj
- Département de Médecine Nucléaire, Aix Marseille Univ, APHM, CNRS, Centrale Marseille, Institut Fresnel, Hôpital de La Timone, CERIMED, Marseille, France
| | - Alexander Hammers
- School of Biomedical Engineering and Imaging Sciences, King's College London St Thomas' Hospital, London, SE1 7EH, UK
| | - Zoltan Kaplar
- Institute of Nuclear Medicine, University College London Hospitals, 5Th Floor UCH, 235 Euston Rd, London, NW1 2BU, UK
| | - Silvia Morbelli
- Nuclear Medicine Unit, AOU Città Della Salute E Della Scienza Di Torino, University of Turin, Turin, Italy
| | - Laszlo Papp
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Kuangyu Shi
- Lab for Artificial Intelligence and Translational Theranostic, Dept. of Nuclear Medicine, University of Bern, Bern, Switzerland
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, IADI, INSERM U1254, Nancy, France
| | - Donatienne Van Weehaeghe
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Igor Yakushev
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
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4
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Traub-Weidinger T, Arbizu J, Barthel H, Boellaard R, Borgwardt L, Brendel M, Cecchin D, Chassoux F, Fraioli F, Garibotto V, Guedj E, Hammers A, Law I, Morbelli S, Tolboom N, Van Weehaeghe D, Verger A, Van Paesschen W, von Oertzen TJ, Zucchetta P, Semah F. EANM practice guidelines for an appropriate use of PET and SPECT for patients with epilepsy. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06656-3. [PMID: 38393374 DOI: 10.1007/s00259-024-06656-3] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
Epilepsy is one of the most frequent neurological conditions with an estimated prevalence of more than 50 million people worldwide and an annual incidence of two million. Although pharmacotherapy with anti-seizure medication (ASM) is the treatment of choice, ~30% of patients with epilepsy do not respond to ASM and become drug resistant. Focal epilepsy is the most frequent form of epilepsy. In patients with drug-resistant focal epilepsy, epilepsy surgery is a treatment option depending on the localisation of the seizure focus for seizure relief or seizure freedom with consecutive improvement in quality of life. Beside examinations such as scalp video/electroencephalography (EEG) telemetry, structural, and functional magnetic resonance imaging (MRI), which are primary standard tools for the diagnostic work-up and therapy management of epilepsy patients, molecular neuroimaging using different radiopharmaceuticals with single-photon emission computed tomography (SPECT) and positron emission tomography (PET) influences and impacts on therapy decisions. To date, there are no literature-based praxis recommendations for the use of Nuclear Medicine (NM) imaging procedures in epilepsy. The aims of these guidelines are to assist in understanding the role and challenges of radiotracer imaging for epilepsy; to provide practical information for performing different molecular imaging procedures for epilepsy; and to provide an algorithm for selecting the most appropriate imaging procedures in specific clinical situations based on current literature. These guidelines are written and authorized by the European Association of Nuclear Medicine (EANM) to promote optimal epilepsy imaging, especially in the presurgical setting in children, adolescents, and adults with focal epilepsy. They will assist NM healthcare professionals and also specialists such as Neurologists, Neurophysiologists, Neurosurgeons, Psychiatrists, Psychologists, and others involved in epilepsy management in the detection and interpretation of epileptic seizure onset zone (SOZ) for further treatment decision. The information provided should be applied according to local laws and regulations as well as the availability of various radiopharmaceuticals and imaging modalities.
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Affiliation(s)
- Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Javier Arbizu
- Department of Nuclear Medicine, University of Navarra Clinic, Pamplona, Spain
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Lise Borgwardt
- Department of Clinical Physiology and Nuclear Medicine, University of Copenhagen, Blegdamsvej 9, DK-2100, RigshospitaletCopenhagen, Denmark
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig Maximilian-University of Munich, Munich, Germany
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine-DIMED, University-Hospital of Padova, Padova, Italy
| | - Francine Chassoux
- Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, 91401, Orsay, France
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
- NIMTLab, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Center for Biomedical Imaging (CIBM), Geneva, Switzerland
| | - Eric Guedj
- APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, Nuclear Medicine Department, Aix Marseille Univ, Marseille, France
| | - Alexander Hammers
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London & Guy's and St Thomas' PET Centre, King's College London, London, UK
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, IADI, INSERM U1254, Nancy, France
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
| | - Tim J von Oertzen
- Depts of Neurology 1&2, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Pietro Zucchetta
- Nuclear Medicine Unit, Department of Medicine-DIMED, University-Hospital of Padova, Padova, Italy
| | - Franck Semah
- Nuclear Medicine Department, University Hospital, Inserm, CHU Lille, U1172-LilNCog-Lille, F-59000, Lille, France.
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5
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Bin Essa NE, Alderaibi AK, Fraioli F. Unusual Presentation of Solitary Penile Metastasis of Prostate Cancer on 68 Ga-PSMA PET/CT. Clin Nucl Med 2024; 49:193-195. [PMID: 38141008 DOI: 10.1097/rlu.0000000000005002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
ABSTRACT A 75-year-old patient was referred with biochemical recurrence for prostate cancer. The patient underwent 68 Ga-PSMA (prostate-specific membrane antigen) PET/CT scan, which revealed a focal PSMA activity in the proximal left lateral penile margin. Although a subsequent ultrasound did not identify the abnormality, MRI pelvis revealed a 10-mm lesion in the left proximal corpus cavernosum. This lesion was consistent with metastatic acinar adenocarcinoma of the prostate on postresection histopathology. This unusual presentation of asymptomatic, histopathology-proven, penile solitary metastases was documented 3 years after robotic-assisted laparoscopic prostatectomy and pelvic external beam radiotherapy.
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Affiliation(s)
- Noora Essa Bin Essa
- From the Department of Nuclear Medicine, Kuwait Cancer Control Centre, Kuwait City, Kuwait
| | - Alaa Khalid Alderaibi
- Department of Radiology, College of Medicine, Qassim University, Buraidah, Saudi Arabia
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College Hospital, London, United Kingdom
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6
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Tolboom N, Verger A, Albert NL, Fraioli F, Guedj E, Traub-Weidinger T, Morbelli S, Herrmann K, Zucchetta P, Plasschaert SLA, Yakushev I, Weller M, Glas M, Preusser M, Cecchin D, Barthel H, Van Weehaeghe D. Theranostics in Neurooncology: Heading Toward New Horizons. J Nucl Med 2024; 65:167-173. [PMID: 38071569 DOI: 10.2967/jnumed.123.266205] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/23/2023] [Indexed: 02/03/2024] Open
Abstract
Therapeutic approaches to brain tumors remain a challenge, with considerable limitations regarding delivery of drugs. There has been renewed and increasing interest in translating the popular theranostic approach well known from prostate and neuroendocrine cancer to neurooncology. Although far from perfect, some of these approaches show encouraging preliminary results, such as for meningioma and leptomeningeal spread of certain pediatric brain tumors. In brain metastases and gliomas, clinical results have failed to impress. Perspectives on these theranostic approaches regarding meningiomas, brain metastases, gliomas, and common pediatric brain tumors will be discussed. For each tumor entity, the general context, an overview of the literature, and future perspectives will be provided. Ongoing studies will be discussed in the supplemental materials. As most theranostic agents are unlikely to cross the blood-brain barrier, the delivery of these agents will be dependent on the successful development and clinical implementation of techniques enhancing permeability and retention. Moreover, the international community should strive toward sufficiently large and randomized studies to generate high-level evidence on theranostic approaches with radioligand therapies for central nervous system tumors.
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Affiliation(s)
- Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Antoine Verger
- IADI, INSERM, UMR 1254, Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Université de Lorraine, Nancy, France
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, Munich, Germany
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Eric Guedj
- Département de Médecine Nucléaire, Hôpital de la Timone, CERIMED, Institut Fresnel, Aix Marseille University, APHM, CNRS, Centrale Marseille, Marseille, France
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa Italy
- Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium-University Hospital Essen, Essen, Germany
| | - Pietro Zucchetta
- Department of Nuclear Medicine, University Hospital of Padova, Padova, Italy
| | | | - Igor Yakushev
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich and Munich Center for Neurosciences-Brain and Mind, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology and Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, University Duisburg-Essen and German Cancer Consortium, Essen, Germany
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine-DIMED, University Hospital of Padua, Padua, Italy
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany; and
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7
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Rogeau A, Kaplar Z, Fraioli F. Myocardial, Retro-orbital, and Bilateral Testicular Metastases of an Ileal Neuroendocrine Tumor in 68 Ga-DOTATATE PET/CT. Clin Nucl Med 2024; 49:182-184. [PMID: 38015458 DOI: 10.1097/rlu.0000000000004982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
ABSTRACT A 71-year-old man with a newly discovered metastatic grade II neuroendocrine tumor of the terminal ileum was referred for a 68 Ga-DOTATATE PET/CT scan to stage the disease and assess suitability for PRRT (peptide receptor radionuclide therapy). The patient was known to have secondary nodal and bone/liver metastatic disease through prior morphological investigations. PET images revealed an atypical pattern of metastatic disease, showcasing secondary lesions in bilateral extraocular muscles, the myocardium, and both testes. The patient was pauci-symptomatic and only reported fatigue and diarrhea. Management involved lanreotide administration, and PRRT is being envisaged.
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Affiliation(s)
| | - Zoltan Kaplar
- From the Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
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8
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Bin Essa N, Kaplar Z, Balaji N, Alduraibi A, Bomanji J, Groves AM, Lilburn DML, Navani N, Fraioli F. PET/CT in treatment response assessment in lung cancer. When should it be recommended? Nucl Med Commun 2023; 44:1059-1066. [PMID: 37706268 DOI: 10.1097/mnm.0000000000001757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. Different treatment options are now possible both for surgical candidates and for those NSCLC patients deemed not suitable for surgery. Despite the treatments available, only a limited number of less advanced stages are potentially curable, with many patients suffering local recurrence or distant metastases. FDG-PET/CT is commonly used in many centers for post-treatment evaluation, follow-up, or surveillance; Nonetheless, there is no clear consensus regarding the indications in these cases. Based upon the results of a literature review and local expertise from a large lung cancer unit, we built clinical evidence-based recommendations for the use of FDG-PET/CT in response assessment. We found that in general this is not recommended earlier than 3 months from treatment; however, as described in detail the correct timing will also depend upon the type of treatment used. We also present a structured approach to assessing treatment changes when reporting FDG-PET/CT, using visual or quantitative approaches.
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Affiliation(s)
- Noora Bin Essa
- Nuclear Medicine Department, Kuwait Cancer Control Center, Kuwait City, Kuwait,
| | - Zoltan Kaplar
- Institute of Nuclear Medicine, University College Hospital, London, UK,
| | - Nikita Balaji
- Institute of Nuclear Medicine, University College Hospital, London, UK,
| | - Alaa Alduraibi
- Department of Radiology, College of Medicine, Qassim University, Saudi Arabia and
| | - Jamshed Bomanji
- Institute of Nuclear Medicine, University College Hospital, London, UK,
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College Hospital, London, UK,
| | - David M L Lilburn
- Institute of Nuclear Medicine, University College Hospital, London, UK,
| | - Neal Navani
- Respiratory Medicine, University College Hospital, London, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College Hospital, London, UK,
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9
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Algodayan S, Priftakis D, Fraioli F, Bomanji J. [ 18 F] FDG PET/CT Imaging in a Rare Case of Sarcoidosis With Involvement of Epididymis. Clin Nucl Med 2023; 48:e608-e610. [PMID: 37844421 DOI: 10.1097/rlu.0000000000004897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
ABSTRACT Genitourinary involvement of sarcoidosis is an uncommon occurrence. In this report, we present [ 18 F] FDG PET/CT of a young adult man with sarcoidosis involving the epididymis, and we discuss the utility of FDG PET imaging in diagnosis and assessment of response to treatment.
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Affiliation(s)
| | - Dimitrios Priftakis
- From the Institute of Nuclear Medicine, University College London Hospital, London, United Kingdom
| | - Francesco Fraioli
- From the Institute of Nuclear Medicine, University College London Hospital, London, United Kingdom
| | - Jamshed Bomanji
- From the Institute of Nuclear Medicine, University College London Hospital, London, United Kingdom
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10
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Tolboom N, Verger A, Albert NL, Brendel M, Cecchin D, Fernandez PA, Fraioli F, Guedj E, Herrmann K, Traub-Weidinger T, Morbelli S, Yakushev I, Zucchetta P, Barthel H, Van Weehaeghe D. EANM position paper: theranostics in brain tumours-the present and the future. Eur J Nucl Med Mol Imaging 2023; 51:202-205. [PMID: 37698647 DOI: 10.1007/s00259-023-06425-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Affiliation(s)
- Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, IADI, Inserm, UMR 1254, Université de Lorraine, CHRU-Nancy, Nancy, France
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine - DIMED, University Hospital of Padua, Padua, Italy
| | - Pablo Aguiar Fernandez
- Department of Radiology, Faculty of Medicine and Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela (USC), Campus Vida, Santiago de Compostela, Galicia, Spain
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Eric Guedj
- Département de Médecine Nucléaire, Aix Marseille Univ, APHM, CNRS, Centrale Marseille, Institut Fresnel, Hôpital de La Timone Hospital, CERIMED, Marseille, France
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)- University Hospital Essen, Essen, Germany
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Igor Yakushev
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich and Munich Center for Neurosciences - Brain and Mind, Munich, Germany
| | - Pietro Zucchetta
- Department of Nuclear Medicine, University Hospital Of Padova, Padova, Italy
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
| | - Donatienne Van Weehaeghe
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
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11
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Rogeau A, Lilburn DML, Kaplar Z, Anderson C, Scott CJ, Chowdhury FA, Fraioli F, Bomanji JB. Identifying and troubleshooting the pitfalls of ictal/interictal brain perfusion SPECT studies. Nucl Med Commun 2023; 44:1053-1058. [PMID: 37661779 DOI: 10.1097/mnm.0000000000001755] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Epilepsy is a prevalent condition, and surgical intervention can benefit patients with refractory seizures. Single photon emission computed tomography (SPECT) using 99mTc-HMPAO or 99mTc-ECD provides assessment of regional cerebral blood flow and is the primary non-invasive approach for imaging brain perfusion in ictal and interictal states. Ictal/interictal SPECT is valuable in localising epileptogenic foci, particularly when MRI and electroencephalography are negative. However, to obtain accurate images reflecting brain perfusion in both states, meticulous preparation of the patient, timely radiotracer injection and close coordination between neurology and nuclear medicine teams are essential. Tracers also have inherent limitations, and patients may present with coexisting brain pathologies for which coregistration of SPECT images with MRI is recommended to improve diagnostic accuracy. Inconclusive SPECT findings may require repeating the exam or considering additional investigations. A comprehensive approach, considering various factors, is crucial for accurate interpretation of SPECT studies in presurgical epilepsy evaluations. This article provides a summary of the organisation and key challenges involved in conducting ictal/interictal SPECT studies, covering the entire process from a patient's hospital arrival to the integration of results within their presurgical pathway and using our experience of 182 patients over 10 years.
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Affiliation(s)
- Antoine Rogeau
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
- Department of Nuclear Medicine, Lille University Hospitals, Lille, France
| | - David M L Lilburn
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
- Department of Imaging, School of Medicine, University College London
| | - Zoltan Kaplar
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Cameron Anderson
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Catherine J Scott
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Fahmida A Chowdhury
- Department of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
- Department of Imaging, School of Medicine, University College London
| | - Jamshed B Bomanji
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
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12
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Balaji N, Balachandar R, Algodayan S, Lilburn DML, Fraioli F, Bomanji JB. New impetus for amyloid-PET imaging following the Food and Drug administration approval of a new Alzheimer's disease treatment. Nucl Med Commun 2023; 44:415-416. [PMID: 36942553 DOI: 10.1097/mnm.0000000000001688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Affiliation(s)
- Nikita Balaji
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
| | - Ramya Balachandar
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
| | - Sarah Algodayan
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
- Department of Radiology, Imam Abdulrahman Bin Faisal University Hospital, Dammam, Saudi Arabia
| | - David M L Lilburn
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
- Department of Imaging, School of Medicine, University College London, London, UK
| | - Francesco Fraioli
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
- Department of Imaging, School of Medicine, University College London, London, UK
| | - Jamshed B Bomanji
- Department of Imaging, Institute of Nuclear Medicine, University College London Hospital, London, UK
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13
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Ferrazzoli V, Shankar A, Cockle JV, Tang C, Al-Khayfawee A, Bomanji J, Fraioli F, Hyare H. Mapping glioma heterogeneity using multiparametric 18 F-choline PET/MRI in childhood and teenage-young adults. Nucl Med Commun 2023; 44:91-99. [PMID: 36378239 DOI: 10.1097/mnm.0000000000001636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The heterogeneity of post-treatment imaging remains a significant challenge in children and teenagers/young adults (TYA) diagnosed with glioma. The aim of this study was to evaluate the utility of 18 F-choline PET/MRI in determining intratumoural heterogeneity in paediatric and TYA gliomas. METHODS Twenty-six patients (mean age 16 years, range 8-22 years) with suspected glioma disease progression were evaluated with 18 F-choline PET/MRI. Relative cerebral blood volume (rCBV), apparent diffusion coefficient (ADC) and maximum standardised uptake values (SUV max ) in enhancing (enh) and non-enhancing (ne) tumour volumes and normal-appearing white matter (wm) were calculated (rCBV enh , rCBV ne , rCBV wm , ADC enh , ADC ne , ADC wm , SUV enh , SUV ne and SUV wm ). RESULTS Significantly higher SUV enh and SUV ne compared with SUV wm were observed [SUV enh 0.89 (0.23-1.90), SUV ne 0.36 (0.16-0.78) versus SUV wm 0.15 (0.04-1.19); P < 0.001 and P = 0.004, respectively]. Equivalent results were observed for ADV and rCBV (ADC enh , ADC ne : P < 0.001 versus ADC wm ; rCBV enh , rCBV ne : P < 0.001 versus rCBV wm ). The highest values for mean SUV max [0.89 (0.23-1.90)] and mean rCBV [2.1 (0.74-5.08)] were in the enhancing component, while the highest values for ADC [1780 mm 2 /s (863-2811)] were in the necrotic component. CONCLUSION 18 F-choline PET/MRI is able map imaging heterogeneity in paediatric and TYA gliomas, detecting post-treatment enhancing, non-enhancing, and necrotic tumour components equivalent to ADC and DSC-derived rCBV. This offers potential in the response assessment of diffuse non-enhancing gliomas and in selected cases such as posterior fossa tumours where quantitative MRI is technically difficult.
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Affiliation(s)
| | - Ananth Shankar
- Department of Paediatric and Adolescent Oncology, University College London Hospitals NHS Foundation Trust
| | - Julia V Cockle
- Department of Paediatric and Adolescent Oncology, University College London Hospitals NHS Foundation Trust
| | | | | | | | | | - Harpreet Hyare
- Department of Imaging, University College London Hospital NHS Foundation Trust
- Department of Brain Repair and Rehabilitation, London, UK
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14
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AlDalilah Y, Ganeshan B, Endozo R, Bomanji J, Porter JC, Machado M, Bertoletti L, Lilburn D, lyasheva M, Groves AM, Fraioli F. Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison. Br J Radiol 2022; 95:20210957. [PMID: 35191759 PMCID: PMC10996414 DOI: 10.1259/bjr.20210957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 02/04/2022] [Accepted: 02/08/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To assess the prognostic performance of two quantitative CT (qCT) techniques in idiopathic pulmonary fibrosis (IPF) compared to established clinical measures of disease severity (GAP index). METHODS Retrospective analysis of high-resolution CT scans for 59 patients (age 70.5 ± 8.8 years) with two qCT methods. Computer-aided lung informatics for pathology evaluation and ratings based analysis classified the lung parenchyma into six different patterns: normal, ground glass, reticulation, hyperlucent, honeycombing and pulmonary vessels. Filtration histogram-based texture analysis extracted texture features: mean intensity, standard deviation (SD), entropy, mean of positive pixels (MPPs), skewness and kurtosis at different spatial scale filters. Univariate Kaplan-Meier survival analysis assessed the different qCT parameters' performance to predict patient outcome and refine the standard GAP staging system. Multivariate cox regression analysis assessed the independence of the significant univariate predictors of patient outcome. RESULTS The predominant parenchymal lung pattern was reticulation (16.6% ± 13.9), with pulmonary vessel percentage being the most predictive of worse patient outcome (p = 0.009). Higher SD, entropy and MPP, in addition to lower skewness and kurtosis at fine texture scale (SSF2), were the most significant predictors of worse outcome (p < 0.001). Multivariate cox regression analysis demonstrated that SD (SSF2) was the only independent predictor of survival (p < 0.001). Better patient outcome prediction was achieved after adding total vessel percentage and SD (SSF2) to the GAP staging system (p = 0.006). CONCLUSION Filtration-histogram texture analysis can be an independent predictor of patient mortality in IPF patients. ADVANCES IN KNOWLEDGE qCT analysis can help in risk stratifying IPF patients in addition to clinical markers.
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Affiliation(s)
- Yazeed AlDalilah
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
- Department of Radiology, King Faisal Specialist Hospital and
Research Center, Riyadh,
Saudi Arabia
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | - Raymond Endozo
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | - Jamshed Bomanji
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | - Joanna C Porter
- CITR, UCL and Interstitial Lung Disease Centre,
UCLH, London, UK
| | - Maria Machado
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | | | - David Lilburn
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | - Maria lyasheva
- Division of Cardiovascular Medicine, Radcliffe Department of
Medicine, University of Oxford,
Oxford, UK
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London
(UCL), London,
UK
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15
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Verghese P, Ruparel M, Dickson J, Fraioli F, Nair A, Janes S, Navani N. Utility of PET-CT in the Lung Screen Uptake Trial. Lung Cancer 2022. [DOI: 10.1016/s0169-5002(22)00094-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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16
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Chen SH, Miles K, Taylor SA, Ganeshan B, Rodriquez M, Fraioli F, Wan S, Afaq A, Shortman R, Walls D, Hoy L, Endozo R, Bhargava A, Hanson M, Huang J, Raouf S, Francis D, Siddiqi S, Arulampalam T, Sizer B, Machesney M, Reay-Jones N, Dindyal S, Ng T, Groves AM. Correction to: FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis. Eur J Nucl Med Mol Imaging 2022; 49:786-787. [PMID: 34894284 PMCID: PMC9172773 DOI: 10.1007/s00259-021-05546-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Shih-Hsin Chen
- Institute of Nuclear Medicine, University College London (UCL), London, UK
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Kenneth Miles
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Stuart A. Taylor
- Centre for Medical Imaging, University College London, London, UK
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Manuel Rodriquez
- Surgery and Cancer Board, Imaging Division, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London, UK
- Department of Research Pathology, Cancer Institute, UCL, London, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Simon Wan
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Asim Afaq
- Institute of Nuclear Medicine, University College London (UCL), London, UK
- University of Iowa, Carver College of Medicine, Iowa City, USA
| | - Robert Shortman
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Darren Walls
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Luke Hoy
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Raymond Endozo
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Aman Bhargava
- Institute of Health Barts and London Medical School, Queen Mary University of London (QMUL), London, UK
| | - Matthew Hanson
- Division of Cancer and Clinical Support, Barking, Havering and Redbridge University Hospitals NHS Trust, Queens and King George Hospitals, Essex, UK
| | - Joseph Huang
- Division of Cancer and Clinical Support, Barking, Havering and Redbridge University Hospitals NHS Trust, Queens and King George Hospitals, Essex, UK
| | - Sherif Raouf
- Division of Cancer and Clinical Support, Barking, Havering and Redbridge University Hospitals NHS Trust, Queens and King George Hospitals, Essex, UK
- Radiotherapy Department, Barts Cancer Centre, St Bartholomew’s Hospital, West Smithfield, London, UK
| | - Daren Francis
- Department of Colorectal Surgery, Barnet and Chase Farm Hospitals, Royal Free London NHS Foundation Trust, London, UK
| | - Shahab Siddiqi
- Department of Lower GI Surgery and Coloproctology, Mid Essex Hospital Services NHS Trust, Broomfield Hospital, Essex, UK
| | - Tan Arulampalam
- Department of Surgery & Department of Clinical Oncology, East Suffolk and North Essex NHS Foundation Trust, Colchester General Hospital, Essex, UK
| | - Bruce Sizer
- Department of Surgery & Department of Clinical Oncology, East Suffolk and North Essex NHS Foundation Trust, Colchester General Hospital, Essex, UK
| | - Michael Machesney
- Barts Health NHS Trust, Cancer Clinical Board, Colorectal Surgery, Whipps Cross Hospital, London, UK
| | - Nicholas Reay-Jones
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Queen Elizabeth II Hospital, Hertfordshire, UK
| | - Sanjay Dindyal
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Lister Hospital, Hertfordshire, UK
| | - Tony Ng
- School of Cancer & Pharmaceutical Sciences, Kings College London (KCL), London, UK
| | - Ashley M. Groves
- Institute of Nuclear Medicine, University College London (UCL), London, UK
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17
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Chen SH, Miles K, Taylor SA, Ganeshan B, Rodriquez M, Fraioli F, Wan S, Afaq A, Shortman R, Walls D, Hoy L, Endozo R, Bhargava A, Hanson M, Huang J, Raouf S, Francis D, Siddiqi S, Arulampalam T, Sizer B, Machesney M, Reay-Jones N, Dindyal S, Ng T, Groves AM. FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis. Eur J Nucl Med Mol Imaging 2021; 49:371-384. [PMID: 33837843 PMCID: PMC8712298 DOI: 10.1007/s00259-021-05318-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 03/13/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE This study assesses the potential for vascular-metabolic imaging with FluoroDeoxyGlucose (FDG)-Positron Emission Tomography/Computed Tomography (PET/CT) perfusion to provide markers of prognosis specific to the site and stage of colorectal cancer. METHODS This prospective observational study comprised of participants with suspected colorectal cancer categorized as either (a) non-metastatic colon cancer (M0colon), (b) non-metastatic rectal cancer (M0rectum), or (c) metastatic colorectal cancer (M+). Combined FDG-PET/CT perfusion imaging was successfully performed in 286 participants (184 males, 102 females, age: 69.60 ± 10 years) deriving vascular and metabolic imaging parameters. Vascular and metabolic imaging parameters alone and in combination were investigated with respect to overall survival. RESULTS A vascular-metabolic signature that was significantly associated with poorer survival was identified for each patient group: M0colon - high Total Lesion Glycolysis (TLG) with increased Permeability Surface Area Product/Blood Flow (PS/BF), Hazard Ratio (HR) 3.472 (95% CI: 1.441-8.333), p = 0.006; M0rectum - high Metabolic Tumour Volume (MTV) with increased PS/BF, HR 4.567 (95% CI: 1.901-10.970), p = 0.001; M+ participants, high MTV with longer Time To Peak (TTP) enhancement, HR 2.421 (95% CI: 1.162-5.045), p = 0.018. In participants with stage 2 colon cancer as well as those with stage 3 rectal cancer, the vascular-metabolic signature could stratify the prognosis of these participants. CONCLUSION Vascular and metabolic imaging using FDG-PET/CT can be used to synergise prognostic markers. The hazard ratios suggest that the technique may have clinical utility.
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Affiliation(s)
- Shih-hsin Chen
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Kenneth Miles
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Stuart A. Taylor
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
- Centre for Medical Imaging, University College London, London, UK
| | - Balaji Ganeshan
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Manuel Rodriquez
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
- Department of Research Pathology, Cancer Institute, UCL, London, UK
| | - Francesco Fraioli
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Simon Wan
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Asim Afaq
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
- University of Iowa, Carver College of Medicine, Iowa City, USA
| | - Robert Shortman
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Darren Walls
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Luke Hoy
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
| | - Raymond Endozo
- University College London Hospitals (UCLH) NHS Foundation Trust, Surgery and Cancer Board, Imaging Division, University College Hospital (UCH), London, UK
| | - Aman Bhargava
- Institute of Health Barts and London Medical School, Queen Mary University of London (QMUL), London, UK
| | - Matthew Hanson
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
| | - Joseph Huang
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
| | - Sherif Raouf
- Barking, Havering and Redbridge University Hospitals NHS Trust, Division of Cancer and Clinical Support, Queens and King George Hospitals, Essex, UK
- Radiotherapy Department, Barts Cancer Centre, St Bartholomew’s Hospital, West Smithfield, London, UK
| | - Daren Francis
- Royal Free London NHS Foundation Trust, Department of Colorectal Surgery, Barnet and Chase Farm Hospitals, London, UK
| | - Shahab Siddiqi
- Mid Essex Hospital Services NHS Trust, Department of Lower GI Surgery and Coloproctology, Broomfield Hospital, Essex, UK
| | - Tan Arulampalam
- East Suffolk and North Essex NHS Foundation Trust, Department of Surgery & Department of Clinical Oncology, Colchester General Hospital, Essex, UK
| | - Bruce Sizer
- East Suffolk and North Essex NHS Foundation Trust, Department of Surgery & Department of Clinical Oncology, Colchester General Hospital, Essex, UK
| | - Michael Machesney
- Barts Health NHS Trust, Cancer Clinical Board, Colorectal Surgery, Whipps Cross Hospital, London, UK
| | - Nicholas Reay-Jones
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Queen Elizabeth II Hospital, Hertfordshire, UK
| | - Sanjay Dindyal
- East and North Hertfordshire NHS Trust, Colorectal Surgery, Lister Hospital, Hertfordshire, UK
| | - Tony Ng
- School of Cancer & Pharmaceutical Sciences, Kings College London (KCL), London, UK
| | - Ashley M Groves
- Division of Medicine, Research Department of Imaging, University College London (UCL), London, UK
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18
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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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19
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Thornton A, Fraioli F, Wan S, Garthwaite HS, Ganeshan B, Shortman RI, Endozo R, Voo S, Kayani I, Neriman D, Menezes L, Bomanji JB, Hillman T, Heightman M, Porter JC, Groves AM. Evolution of 18F-FDG-PET/CT findings in patients following COVID-19 pneumonia: An Initial Investigation. J Nucl Med 2021; 63:270-273. [PMID: 34272318 PMCID: PMC8805777 DOI: 10.2967/jnumed.121.262296] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/25/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to assess the temporal evolution of pulmonary 18F-FDG uptake in patients with coronavirus disease 2019 (COVID-19) and post–COVID-19 lung disease (PCLD). Methods: Using our hospital’s clinical electronic records, we retrospectively identified 23 acute COVID-19, 18 PCLD, and 9 completely recovered 18F-FDG PET/CT patients during the 2 peaks of the U.K. pandemic. Pulmonary 18F-FDG uptake was measured as a lung target-to-background ratio (TBRlung = SUVmax/SUVmin) and compared with temporal stage. Results: In acute COVID-19, less than 3 wk after infection, TBRlung was strongly correlated with time after infection (rs = 0.81, P < 0.001) and was significantly higher in the late stage than in the early stage (P = 0.001). In PCLD, TBRlung was lower in patients treated with high-dose steroids (P = 0.003) and in asymptomatic patients (P < 0.001). Conclusion: Pulmonary 18F-FDG uptake in COVID-19 increases with time after infection. In PCLD, pulmonary 18F-FDG uptake rises despite viral clearance, suggesting ongoing inflammation. There was lower pulmonary 18F-FDG uptake in PCLD patients treated with steroids.
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Affiliation(s)
- Andrew Thornton
- Institute of Nuclear Medicine, University College London, United Kingdom
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, United Kingdom
| | - Simon Wan
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Helen S Garthwaite
- Interstitial Lung Disease Service, University College London Hospital, United Kingdom
| | | | - Robert Ian Shortman
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Raymond Endozo
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Stefan Voo
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Irfan Kayani
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Deena Neriman
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | - Leon Menezes
- Institute of Nuclear Medicine, University College London Hospital, United Kingdom
| | | | - Toby Hillman
- Post-COVID Disease Service, University College London Hospital, United Kingdom
| | - Melissa Heightman
- Post-COVID Disease Service, University College London Hospital, United Kingdom
| | - Joanna C Porter
- Interstitial Lung Disease Service, University College London Hospital, United Kingdom
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London, United Kingdom
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20
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Porter JC, Win T, Erlandsson K, Fraioli F, Rashidnasab A, Holman B, Ganeshan B, Screaton NJ, Maher TM, Endozo R, Hoath J, Shortman RI, Emond E, Thielemans K, Hutton BF, Lukey PT, Aigbirhio F, Khan S, Rodriguez-Justo M, Groves AM. Measurement of hypoxia in the lung in IPF: an F-MISO PET CT study. Eur Respir J 2021; 58:13993003.04584-2020. [PMID: 34244317 DOI: 10.1183/13993003.04584-2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/04/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Joanna C Porter
- CITR, UCL and Interstitial Lung Disease Centre, UCLH, London, UK.,Joint First Authors
| | - Thida Win
- Respiratory Medicine, Lister Hospital, Stevenage, UK.,Joint First Authors
| | | | | | | | | | | | | | - Toby M Maher
- Hastings Centre for Pulmonary Research and Division of Pulmonary, Critical Care and Sleep Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.,Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College, London, UK.,National Institute for Health Research (NIHR) Respiratory Biomedical Research Unit, Royal Brompton Hospital, London, UK
| | | | - John Hoath
- Institute of Nuclear Medicine, UCL/H, London, UK
| | | | - Elise Emond
- Institute of Nuclear Medicine, UCL/H, London, UK
| | | | | | - Pauline T Lukey
- Target to Treatment Consulting Ltd, Stevenage Bioscience Catalyst, Stevenage, UK
| | | | - Saif Khan
- Department of Histopathology, UCLH, London, UK
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21
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Banerjee G, Ambler G, Keshavan A, Paterson RW, Foiani MS, Toombs J, Heslegrave A, Dickson JC, Fraioli F, Groves AM, Lunn MP, Fox NC, Zetterberg H, Schott JM, Werring DJ. Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy. J Alzheimers Dis 2021; 74:1189-1201. [PMID: 32176643 PMCID: PMC7242825 DOI: 10.3233/jad-191254] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: There is limited data on cerebrospinal fluid (CSF) biomarkers in sporadic amyloid-β (Aβ) cerebral amyloid angiopathy (CAA). Objective: To determine the profile of biomarkers relevant to neurodegenerative disease in the CSF of patients with CAA. Methods: We performed a detailed comparison of CSF markers, comparing patients with CAA, Alzheimer’s disease (AD), and control (CS) participants, recruited from the Biomarkers and Outcomes in CAA (BOCAA) study, and a Specialist Cognitive Disorders Service. Results: We included 10 CAA, 20 AD, and 10 CS participants (mean age 68.6, 62.5, and 62.2 years, respectively). In unadjusted analyses, CAA patients had a distinctive CSF biomarker profile, with significantly lower (p < 0.01) median concentrations of Aβ38, Aβ40, Aβ42, sAβPPα, and sAβPPβ. CAA patients had higher levels of neurofilament light (NFL) than the CS group (p < 0.01), but there were no significant differences in CSF total tau, phospho-tau, soluble TREM2 (sTREM2), or neurogranin concentrations. AD patients had higher total tau, phospho-tau and neurogranin than CS and CAA groups. In age-adjusted analyses, differences for the CAA group remained for Aβ38, Aβ40, Aβ42, and sAβPPβ. Comparing CAA patients with amyloid-PET positive (n = 5) and negative (n = 5) scans, PET positive individuals had lower (p < 0.05) concentrations of CSF Aβ42, and higher total tau, phospho-tau, NFL, and neurogranin concentrations, consistent with an “AD-like” profile. Conclusion: CAA has a characteristic biomarker profile, suggestive of a global, rather than selective, accumulation of amyloid species; we also provide evidence of different phenotypes according to amyloid-PET positivity. Further replication and validation of these preliminary findings in larger cohorts is needed.
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Affiliation(s)
- Gargi Banerjee
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, Gower Street, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Ross W Paterson
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martha S Foiani
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Jamie Toombs
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Amanda Heslegrave
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - John C Dickson
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Ashley M Groves
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Michael P Lunn
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,MRC Centre for Neuromuscular Disease, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
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22
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Latifoltojar A, Duncan MKJ, Klusmann M, Sidhu H, Bainbridge A, Neriman D, Fraioli F, Lambert J, Ardeshna KM, Punwani S. Whole Body 3.0 T Magnetic Resonance Imaging in Lymphomas: Comparison of Different Sequence Combinations for Staging Hodgkin's and Diffuse Large B Cell Lymphomas. J Pers Med 2020; 10:E284. [PMID: 33339372 PMCID: PMC7765916 DOI: 10.3390/jpm10040284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/09/2020] [Accepted: 12/11/2020] [Indexed: 11/16/2022] Open
Abstract
To investigate the diagnostic value of different whole-body magnetic resonance imaging (WB-MRI) protocols for staging Hodgkin and diffuse-large B-cell lymphomas (HL and DLBCL), twenty-two patients (M/F 12/10, median age 32, range 22-87, HL/DLBCL 14/8) underwent baseline WB-MRI and 18F-2-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography (PET) fused with computed tomography (CT) scan 18F-FDG-PET-CT. The 3.0 T WB-MRI was performed using pre-contrast modified Dixon (mDixon), T2-weighted turbo-spin-echo (TSE), diffusion-weighted-imaging (DWI), dynamic-contrast-enhanced (DCE) liver/spleen, contrast-enhanced (CE) lung MRI and CE whole-body mDixon. WB-MRI scans were divided into: (1) "WB-MRI DWI+IP": whole-body DWI + in-phase mDixon (2) "WB-MRI T2-TSE": whole-body T2-TSE (3) "WB-MRI Post-C": whole-body CE mDixon + DCE liver/spleen and CE lung mDixon (4) "WB-MRI All ": the entire protocol. Two radiologists evaluated WB-MRIs at random, independently and then in consensus. Two nuclear-medicine-physicians reviewed 18F-FDG PET-CT in consensus. An enhanced-reference-standard (ERS) was derived using all available baseline and follow-up imaging. The sensitivity and specificity of WB-MRI protocols for nodal and extra-nodal staging was derived against the ERS. Agreement between the WB-MRI protocols and the ERS for overall staging was assessed using kappa statistic. For consensus WB-MRI, the sensitivity and specificity for nodal staging were 75%, 98% for WB-MRI DWI+IP, 76%, 98% for WB-MRI Post-C, 83%, 99% for WB-MRI T2-TSE and 87%, 100% for WB-MRI All. The sensitivity and specificity for extra-nodal staging were 67% 100% for WB-MRI DWI+IP, 89%, 100% for WB-MRI Post-C, 89%, 100% for WB-MRI T2-TSE and 100%, 100% for the WB-MRI All. The consensus WB-MRI All read had perfect agreement with the ERS for overall staging [kappa = 1.00 (95% CI: 1.00-1.00)]. The best diagnostic performance is achieved combining all available WB-MRI sequences.
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Affiliation(s)
- Arash Latifoltojar
- Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK; (A.L.); (H.S.)
- The Royal Marsden Hospital, Downs road, Sutton, Surrey SM2 5PT, UK
| | - Mark K. J. Duncan
- Department of Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (M.K.J.D.); (M.K.)
| | - Maria Klusmann
- Department of Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (M.K.J.D.); (M.K.)
| | - Harbir Sidhu
- Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK; (A.L.); (H.S.)
- Department of Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (M.K.J.D.); (M.K.)
| | - Alan Bainbridge
- Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK;
| | - Deena Neriman
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (D.N.); (F.F.)
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (D.N.); (F.F.)
| | - Jonathan Lambert
- Department of Haematology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (J.L.); (K.M.A.)
| | - Kirit M. Ardeshna
- Department of Haematology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (J.L.); (K.M.A.)
| | - Shonit Punwani
- Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK; (A.L.); (H.S.)
- Department of Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK; (M.K.J.D.); (M.K.)
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23
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Ferrazzoli V, Shankar A, Cockle J, Tang C, Al-khayfawee A, Thomas B, Barnes A, Bomanji J, Fraioli F, Hyare H. IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS. Neuro Oncol 2020. [PMCID: PMC7715096 DOI: 10.1093/neuonc/noaa222.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES Evaluation of post-treatment glioma burden remains a significant challenge in children, teenagers and young adults (TYA). The aim of this study was to evaluate the utility of ChoPET/MRI for evaluation of suspected disease progression in childhood and TYA gliomas. METHODS 27 patients (mean age 14 years, range 6–21 years) with suspected glioma disease progression were evaluated with ChoPET/MRI (n=59). Relative cerebral blood volume (rCBV), apparent diffusion coefficient (ADC) and maximum standardised uptake values (SUVmax) in enhancing (enh) and non-enhancing (ne) tumour and normal-appearing white matter (wm) were calculated (rCBVenh, rCBVne, rCBVwm, ADCenh, ADCne, ADCwm, SUVenh, SUVne, SUVwm). 2 blinded radiologists scored tumour probability (1 = unlikely; 5 = definitely). Sensitivity and specificity calculated with gold standard histopathology or clinical follow-up. RESULTS Accuracy for the detection of residual/recurrent tumour on conventional MRI was 96.3% (91.7% ≤14 years, 100% ≥15 years) and ChoPET was 73.1% (66.7% ≤14 years, 80.0% ≥15 years). Lack of agreement was observed in 9/27 patients, with ChoPET superior to MRI in 1 case of a posterior fossa tumour. Tumour component analysis demonstrated significantly higher SUVenh and SUVne than SUVwm (SUVenh: p<0.001; SUVne: p=0.004, equivalent to results were observed for ADV and rCBV (ADCenh, ADCne: p<0.001 vs ADCwm; rCBVenh, rCBVne: p<0.001 vs rCBVwm). CONCLUSIONS MRI is more sensitive than ChoPET in the evaluation of suspected disease progression in TYA gliomas. However, quanititative ChoPET is able to detect enhancing and non-enhancing tumour and may be helpful in evaluating posterior fossa disease where MRI is equivocal.
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24
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Chen DL, Ballout S, Chen L, Cheriyan J, Choudhury G, Denis-Bacelar AM, Emond E, Erlandsson K, Fisk M, Fraioli F, Groves AM, Gunn RN, Hatazawa J, Holman BF, Hutton BF, Iida H, Lee S, MacNee W, Matsunaga K, Mohan D, Parr D, Rashidnasab A, Rizzo G, Subramanian D, Tal-Singer R, Thielemans K, Tregay N, van Beek EJR, Vass L, Vidal Melo MF, Wellen JW, Wilkinson I, Wilson FJ, Winkler T. Consensus Recommendations on the Use of 18F-FDG PET/CT in Lung Disease. J Nucl Med 2020; 61:1701-1707. [PMID: 32948678 DOI: 10.2967/jnumed.120.244780] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 05/11/2020] [Accepted: 09/09/2020] [Indexed: 01/04/2023] Open
Abstract
PET with 18F-FDG has been increasingly applied, predominantly in the research setting, to study drug effects and pulmonary biology and to monitor disease progression and treatment outcomes in lung diseases that interfere with gas exchange through alterations of the pulmonary parenchyma, airways, or vasculature. To date, however, there are no widely accepted standard acquisition protocols or imaging data analysis methods for pulmonary 18F-FDG PET/CT in these diseases, resulting in disparate approaches. Hence, comparison of data across the literature is challenging. To help harmonize the acquisition and analysis and promote reproducibility, we collated details of acquisition protocols and analysis methods from 7 PET centers. From this information and our discussions, we reached the consensus recommendations given here on patient preparation, choice of dynamic versus static imaging, image reconstruction, and image analysis reporting.
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Affiliation(s)
- Delphine L Chen
- Department of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle, Washington
| | - Safia Ballout
- School of Physics and Astronomy, University of Leeds, Leeds, United Kingdom
| | - Laigao Chen
- Worldwide Research, Development, and Medical, Pfizer Inc., Cambridge, Massachusetts
| | - Joseph Cheriyan
- Cambridge University Hospitals, NHS Foundation Trust, Cambridge, United Kingdom.,Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Gourab Choudhury
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Elise Emond
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Kjell Erlandsson
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Marie Fisk
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Roger N Gunn
- inviCRO, London, United Kingdom.,Department of Medicine, Imperial College London, London, United Kingdom
| | - Jun Hatazawa
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University, Osaka, Japan
| | - Beverley F Holman
- Nuclear Medicine Department, Royal Free Hospital, London, United Kingdom
| | - Brian F Hutton
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Hidehiro Iida
- Faculty of Biomedicine and Turku PET Center, University of Turku, Turku, Finland
| | - Sarah Lee
- Amallis Consulting Ltd., London, United Kingdom
| | - William MacNee
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Keiko Matsunaga
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University, Osaka, Japan
| | - Divya Mohan
- Medical Innovation, Value Evidence, and Outcomes, GlaxoSmithKline R&D, Collegeville, Pennsylvania
| | - David Parr
- University Hospitals Coventry and Warwickshire, Coventry, United Kingdom
| | - Alaleh Rashidnasab
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Gaia Rizzo
- inviCRO, London, United Kingdom.,Department of Medicine, Imperial College London, London, United Kingdom
| | | | - Ruth Tal-Singer
- Medical Innovation, Value Evidence, and Outcomes, GlaxoSmithKline R&D, Collegeville, Pennsylvania
| | - Kris Thielemans
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Nicola Tregay
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Edwin J R van Beek
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Laurence Vass
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Marcos F Vidal Melo
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jeremy W Wellen
- Research and Early Development, Celgene, Cambridge, Massachusetts; and
| | - Ian Wilkinson
- Cambridge University Hospitals, NHS Foundation Trust, Cambridge, United Kingdom.,Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Frederick J Wilson
- Clinical Imaging, Clinical Pharmacology, and Experimental Medicine, GlaxoSmithKline, Stevenage, United Kingdom
| | - Tilo Winkler
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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25
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O'Neill H, Doran S, Fraioli F, Nasoodi A. A twisted tale-radiological imaging features of COVID-19 on 18F-FDG PET/CT. Eur J Hybrid Imaging 2020; 4:13. [PMID: 32835159 PMCID: PMC7373832 DOI: 10.1186/s41824-020-00082-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/10/2020] [Indexed: 01/22/2023] Open
Abstract
The COVID-19 pandemic has had a major impact on health care systems across the globe in a short period of time. There is a growing body of evidence surrounding the findings on hybrid imaging with FDG-PET/CT, and this case highlights the importance of molecular imaging in better understanding of the biomarkers of the disease which ultimately determine the success in building a model to predict the disease severity and monitoring the response to treatment.
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Affiliation(s)
- Hazel O'Neill
- Department of Radiology, St. James's Hospital, D08 X4RX Dublin, Ireland
| | - Simon Doran
- Department of Radiology, St. James's Hospital, D08 X4RX Dublin, Ireland
| | - Francesco Fraioli
- University College London Hospitals (UCLH), 5th Floor UCH, 235 Euston Rd, London, NW1 2BU UK
| | - Afshin Nasoodi
- Department of Radiology, St. James's Hospital, D08 X4RX Dublin, Ireland
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26
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Affiliation(s)
- Afshin Nasoodi
- Department of Radiology, St. James's Hospital, Dublin, D08 X4RX, Ireland.
| | - Ciaran Johnston
- Department of Radiology, St. James's Hospital, Dublin, D08 X4RX, Ireland
| | - Francesco Fraioli
- University College London Hospitals UCL(H), 5th Floor UCH, 235 Euston Rd, London, NW1 2BU, UK
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27
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Abstract
Gliomas are the most common primary brain tumours in children and adults, consisting of a heterogeneous group of neoplastic diseases arise from the supporting cells of the CNS (glial cells). Their histopathological and molecular characteristics vary considerably as do their management and prognosis. Conventional gadolinium-enhanced magnetic resonance imaging (MRI) is considered the primary imaging modality for initial work up and follow up of patients with gliomas, although it has some limitations, especially in differentiating high from low grade tumours and in distinguishing disease recurrence from post-therapy changes. Hybrid positron emission tomography (PET)/MRI is a relatively novel tool that combines MRI sequences with metabolic information from PET, and therefore different PET radiotracers, in a single scan. This article discusses the main advantages and disadvantages of combined PET/MRI compared to other conventional or more widely available imaging tools, such as MRI or combined positron emission tomography-computed tomography. The main uses of PET/MRI and the most commonly used PET radiotracers in providing diagnostic, prognostic and predictive information in patients with glioma are covered.
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Affiliation(s)
- Karar O Almansory
- Specialist Registrar, Institute of Nuclear Medicine, University College London Hospitals, London NW1 2BU
| | - Francesco Fraioli
- Consultant Radiologist and Nuclear Medicine Physician, Institute of Nuclear Medicine, University College London Hospitals, London
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28
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Lillington J, Brusaferri L, Kläser K, Shmueli K, Neji R, Hutton BF, Fraioli F, Arridge S, Cardoso MJ, Ourselin S, Thielemans K, Atkinson D. PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques. Med Phys 2020; 47:790-811. [PMID: 31794071 PMCID: PMC7027532 DOI: 10.1002/mp.13943] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/23/2019] [Accepted: 11/20/2019] [Indexed: 12/16/2022] Open
Abstract
Positron emission tomography/magnetic resonance imaging (PET/MRI) potentially offers several advantages over positron emission tomography/computed tomography (PET/CT), for example, no CT radiation dose and soft tissue images from MR acquired at the same time as the PET. However, obtaining accurate linear attenuation correction (LAC) factors for the lung remains difficult in PET/MRI. LACs depend on electron density and in the lung, these vary significantly both within an individual and from person to person. Current commercial practice is to use a single‐valued population‐based lung LAC, and better estimation is needed to improve quantification. Given the under‐appreciation of lung attenuation estimation as an issue, the inaccuracy of PET quantification due to the use of single‐valued lung LACs, the unique challenges of lung estimation, and the emerging status of PET/MRI scanners in lung disease, a review is timely. This paper highlights past and present methods, categorizing them into segmentation, atlas/mapping, and emission‐based schemes. Potential strategies for future developments are also presented.
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Affiliation(s)
- Joseph Lillington
- Centre for Medical Imaging, University College London, London, W1W 7TS, UK
| | - Ludovica Brusaferri
- Institute of Nuclear Medicine, University College London, London, NW1 2BU, UK
| | - Kerstin Kläser
- Centre for Medical Image Computing, University College London, London, WC1E 7JE, UK
| | - Karin Shmueli
- Magnetic Resonance Imaging Group, Department of Medical Physics & Biomedical Engineering, University College London, London, WC1E 6BT, UK
| | - Radhouene Neji
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, GU16 8QD, UK
| | - Brian F Hutton
- Institute of Nuclear Medicine, University College London, London, NW1 2BU, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, NW1 2BU, UK
| | - Simon Arridge
- Centre for Medical Image Computing, University College London, London, WC1E 7JE, UK
| | - Manuel Jorge Cardoso
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Kris Thielemans
- Institute of Nuclear Medicine, University College London, London, NW1 2BU, UK
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, W1W 7TS, UK
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29
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Schütz K, Alecsandru D, Grimbacher B, Haddock J, Bruining A, Driessen G, de Vries E, van Hagen PM, Hartmann I, Fraioli F, Milito C, Mitrevski M, Quinti I, Serra G, Kelleher P, Loebinger M, Litzman J, Postranecka V, Thon V, Babar J, Condliffe AM, Exley A, Kumararatne D, Screaton N, Jones A, Bondioni MP, Lougaris V, Plebani A, Soresina A, Sirignano C, Spadaro G, Galal N, Gonzalez-Granado LI, Dettmer S, Stirling R, Chapel H, Lucas M, Patel S, Farber CM, Meyts I, Banerjee AK, Hackett S, Hurst JR, Warnatz K, Gathmann B, Weidemann J, Berthold D, Baumann U. Correction to: Imaging of Bronchial Pathology in Antibody Deficiency: Data from the European Chest CT Group. J Clin Immunol 2019; 39:225-227. [PMID: 30905051 DOI: 10.1007/s10875-019-00609-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In the original version of this article unfortunately two authors were missing: Dr. Jürgen Weidemann and Dr. Daniel Berthold. The correct list of authors is presented above.
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Affiliation(s)
- Katharina Schütz
- Paediatric Immunology Unit, Department of Paediatric Pulmonology, Allergology and Neonatology, Hanover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Diana Alecsandru
- Primary Immunodeficiencies Unit, Pediatrics, Hospital 12 Octubre, Madrid, Spain.,Clinical Immunology, Royal Free Hospital, London, UK
| | - Bodo Grimbacher
- Clinical Immunology, Royal Free Hospital, London, UK.,Centre for Chronic Immunodeficiency, University Medical Center of Freiburg, Freiburg, Germany
| | | | - Annemarie Bruining
- Dutch Cancer Institute, Antoni van Leeuwenhoek Hospital, The Hague, The Netherlands
| | - Gertjan Driessen
- Paediatric Immunology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.,Paediatrics, Juliana Children's Hospital/Haga Teaching Hospital, The Hague, The Netherlands
| | - Esther de Vries
- Jeroen Bosch Academy, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.,Tranzo, Tilburg University, Tilburg, The Netherlands
| | - Peter M van Hagen
- Immunology and Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Ieneke Hartmann
- Department of Radiology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Francesco Fraioli
- Radiology, Università degli Studi di Roma La Sapienza, Rome, Italy.,Institute of Nuclear Medicine, University College London, London, UK
| | - Cinzia Milito
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Milica Mitrevski
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Isabella Quinti
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Goffredo Serra
- Radiology, Università degli Studi di Roma La Sapienza, Rome, Italy
| | - Peter Kelleher
- Immunology Section Department of Medicine, Imperial College London, London, UK
| | - Michael Loebinger
- Department of Respiratory Medicine, Royal Brompton Hospital, London, UK
| | - Jiri Litzman
- Department of Clinical Immunology and Allergy, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic
| | - Vera Postranecka
- Department of Radiology, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic
| | - Vojtech Thon
- Department of Clinical Immunology and Allergy, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic.,RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Judith Babar
- Radiology, Addenbrooke's Hospital, Cambridge, UK
| | | | | | | | | | - Alison Jones
- Paediatric Immunology, Great Ormond Street Hospital, London, UK
| | | | - Vassilios Lougaris
- Pediatrics Clinic and Institute for Molecular Medicine A. Nocivelli, Department of Clinical and Experimental Sciences, University of Brescia and ASST-Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Plebani
- Pediatrics Clinic and Institute for Molecular Medicine A. Nocivelli, Department of Clinical and Experimental Sciences, University of Brescia and ASST-Spedali Civili of Brescia, Brescia, Italy
| | | | - Cesare Sirignano
- Radiology, IBB-CNR University of Naples Federico II, Naples, Italy
| | | | | | | | - Sabine Dettmer
- Diagnostic Radiology, Hanover Medical School, Hanover, Germany
| | - Robert Stirling
- Allergy, Immunology and Respiratory Medicine, The Alfred Hospital, Melbourne, Australia
| | - Helen Chapel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mary Lucas
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Smita Patel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Isabelle Meyts
- Paediatric Immunology and Pulmonology, University Hospitals, Leuven, Belgium
| | | | - Scott Hackett
- Paediatric Immunology Department, Heartlands Hospital Birmingham, Birmingham, UK
| | - John R Hurst
- UCL Respiratory Medicine, University College London, London, UK
| | - Klaus Warnatz
- Centre for Chronic Immunodeficiency, University Medical Center of Freiburg, Freiburg, Germany
| | - Benjamin Gathmann
- ESID Registry Working Party, University Hospital Freiburg, Freiburg, Germany
| | - Jürgen Weidemann
- Paediatric Radiology and Sonographics, Children's Hospital auf der Bult, Hanover, Germany
| | | | - Ulrich Baumann
- Paediatric Immunology Unit, Department of Paediatric Pulmonology, Allergology and Neonatology, Hanover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
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Boscolo Galazzo I, Storti SF, Barnes A, De Blasi B, De Vita E, Koepp M, Duncan JS, Groves A, Pizzini FB, Menegaz G, Fraioli F. Arterial Spin Labeling Reveals Disrupted Brain Networks and Functional Connectivity in Drug-Resistant Temporal Epilepsy. Front Neuroinform 2019; 12:101. [PMID: 30894811 PMCID: PMC6414423 DOI: 10.3389/fninf.2018.00101] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 12/12/2018] [Indexed: 01/08/2023] Open
Abstract
Resting-state networks (RSNs) and functional connectivity (FC) have been increasingly exploited for mapping brain activity and identifying abnormalities in pathologies, including epilepsy. The majority of studies currently available are based on blood-oxygenation-level-dependent (BOLD) contrast in combination with either independent component analysis (ICA) or pairwise region of interest (ROI) correlations. Despite its success, this approach has several shortcomings as BOLD is only an indirect and non-quantitative measure of brain activity. Conversely, promising results have recently been achieved by arterial spin labeling (ASL) MRI, primarily developed to quantify brain perfusion. However, the wide application of ASL-based FC has been hampered by its complexity and relatively low robustness to noise, leaving several aspects of this approach still largely unexplored. In this study, we firstly aimed at evaluating the effect of noise reduction on spatio-temporal ASL analyses and quantifying the impact of two ad-hoc processing pipelines (basic and advanced) on connectivity measures. Once the optimal strategy had been defined, we investigated the applicability of ASL for connectivity mapping in patients with drug-resistant temporal epilepsy vs. controls (10 per group), aiming at revealing between-group voxel-wise differences in each RSN and ROI-wise FC changes. We first found ASL was able to identify the main network (DMN) along with all the others generally detected with BOLD but never previously reported from ASL. For all RSNs, ICA-based denoising (advanced pipeline) allowed to increase their similarity with the corresponding BOLD template. ASL-based RSNs were visibly consistent with literature findings; however, group differences could be identified in the structure of some networks. Indeed, statistics revealed areas of significant FC decrease in patients within different RSNs, such as DMN and cerebellum (CER), while significant increases were found in some cases, such as the visual networks. Finally, the ROI-based analyses identified several inter-hemispheric dysfunctional links (controls > patients) mainly between areas belonging to the DMN, right-left thalamus and right-left temporal lobe. Conversely, fewer connections, predominantly intra-hemispheric, showed the opposite pattern (controls < patients). All these elements provide novel insights into the pathological modulations characterizing a "network disease" as epilepsy, shading light on the importance of perfusion-based approaches for identifying the disrupted areas and communications between brain regions.
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Affiliation(s)
| | | | - Anna Barnes
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Bianca De Blasi
- Department of Medical Physics, University College London, London, United Kingdom
| | - Enrico De Vita
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's Health Partners, King's College London, London, United Kingdom
| | - Matthias Koepp
- Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, United Kingdom
| | - John Sidney Duncan
- Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, United Kingdom
| | - Ashley Groves
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | | | - Gloria Menegaz
- Department of Computer Science, University of Verona, Verona, Italy
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, United Kingdom
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31
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Fraioli F, Lyasheva M, Porter JC, Bomanji J, Shortman RI, Endozo R, Wan S, Bertoletti L, Machado M, Ganeshan B, Win T, Groves AM. Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF). Eur J Nucl Med Mol Imaging 2019; 46:2023-2031. [PMID: 31286201 PMCID: PMC6667685 DOI: 10.1007/s00259-019-04386-5] [Citation(s) in RCA: 14] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 05/30/2019] [Indexed: 01/11/2023]
Abstract
INTRODUCTION To investigate the combined performance of quantitative CT (qCT) following a computer algorithm analysis (IMBIO) and 18F-FDG PET/CT to assess survival in patients with idiopathic pulmonary fibrosis (IPF). METHODS A total of 113 IPF patients (age 70 ± 9 years) prospectively and consecutively underwent 18F-FDG PET/CT and high-resolution CT (HRCT) at our institution. During a mean follow-up of 29.6 ± 26 months, 44 (48%) patients died. As part of the qCT analysis, pattern evaluation of HRCT (using IMBIO software) included the total extent (percentage) of the following features: normal-appearing lung, hyperlucent lung, parenchymal damage (comprising ground-glass opacification, reticular pattern and honeycombing), and the pulmonary vessels. The maximum (SUVmax) and minimum (SUVmin) standardized uptake value (SUV) for 18F-FDG uptake in the lungs, and the target-to-background (SUVmax/SUVmin) ratio (TBR) were quantified using routine region-of-interest (ROI) analysis. Pulmonary functional tests (PFTs) were acquired within 14 days of the PET/CT/HRCT scan. Kaplan-Meier (KM) survival analysis was used to identify associations with mortality. RESULTS Data from 91 patients were available for comparative analysis. The average ± SD GAP [gender, age, physiology] score was 4.2 ± 1.7 (range 0-8). The average ± SD SUVmax, SUVmin, and TBR were 3.4 ± 1.4, 0.7 ± 0.2, and 5.6 ± 2.8, respectively. In all patients, qCT analysis demonstrated a predominantly reticular lung pattern (14.9 ± 12.4%). KM analysis showed that TBR (p = 0.018) and parenchymal damage assessed by qCT (p = 0.0002) were the best predictors of survival. Adding TBR and qCT to the GAP score significantly increased the ability to differentiate between high and low risk (p < 0.0001). CONCLUSION 18F-FDG PET and qCT are independent and synergistic in predicting mortality in patients with IPF.
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Affiliation(s)
- Francesco Fraioli
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Maria Lyasheva
- Department of Oncology, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Joanna C. Porter
- CITR, UCL and Interstitial Lung Disease Centre, UCLH, London, UK
| | - Jamshed Bomanji
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Robert I. Shortman
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Raymond Endozo
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Simon Wan
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | | | - Maria Machado
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
| | - Thida Win
- Respiratory Medicine, Lister Hospital, Stevenage, UK
| | - Ashley M. Groves
- Institute of Nuclear Medicine, UCL(H) and University College London Hospital, 235 Euston Rd, London, NW1 2BU UK
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32
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Schütz K, Alecsandru D, Grimbacher B, Haddock J, Bruining A, Driessen G, de Vries E, van Hagen PM, Hartmann I, Fraioli F, Milito C, Mitrevski M, Quinti I, Serra G, Kelleher P, Loebinger M, Litzman J, Postranecka V, Thon V, Babar J, Condliffe AM, Exley A, Kumararatne D, Screaton N, Jones A, Bondioni MP, Lougaris V, Plebani A, Soresina A, Sirignano C, Spadaro G, Galal N, Gonzalez-Granado LI, Dettmer S, Stirling R, Chapel H, Lucas M, Patel S, Farber CM, Meyts I, Banerjee AK, Hackett S, Hurst JR, Warnatz K, Gathmann B, Baumann U. Imaging of Bronchial Pathology in Antibody Deficiency: Data from the European Chest CT Group. J Clin Immunol 2018; 39:45-54. [PMID: 30547383 DOI: 10.1007/s10875-018-0577-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Accepted: 11/26/2018] [Indexed: 01/31/2023]
Abstract
Studies of chest computed tomography (CT) in patients with primary antibody deficiency syndromes (ADS) suggest a broad range of bronchial pathology. However, there are as yet no multicentre studies to assess the variety of bronchial pathology in this patient group. One of the underlying reasons is the lack of a consensus methodology, a prerequisite to jointly document chest CT findings. We aimed to establish an international platform for the evaluation of bronchial pathology as assessed by chest CT and to describe the range of bronchial pathologies in patients with antibody deficiency. Ffteen immunodeficiency centres from 9 countries evaluated chest CT scans of patients with ADS using a predefined list of potential findings including an extent score for bronchiectasis. Data of 282 patients with ADS were collected. Patients with common variable immunodeficiency disorders (CVID) comprised the largest subgroup (232 patients, 82.3%). Eighty percent of CVID patients had radiological evidence of bronchial pathology including bronchiectasis in 61%, bronchial wall thickening in 44% and mucus plugging in 29%. Bronchiectasis was detected in 44% of CVID patients aged less than 20 years. Cough was a better predictor for bronchiectasis than spirometry values. Delay of diagnosis as well as duration of disease correlated positively with presence of bronchiectasis. The use of consensus diagnostic criteria and a pre-defined list of bronchial pathologies allows for comparison of chest CT data in multicentre studies. Our data suggest a high prevalence of bronchial pathology in CVID due to late diagnosis or duration of disease.
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Affiliation(s)
- Katharina Schütz
- Paediatric Immunology Unit, Department of Paediatric Pulmonology, Allergology and Neonatology, Hanover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Diana Alecsandru
- Primary Immunodeficiencies Unit, Pediatrics, Hospital 12 Octubre, Madrid, Spain
- Clinical Immunology, Royal Free Hospital, London, UK
| | - Bodo Grimbacher
- Clinical Immunology, Royal Free Hospital, London, UK
- Centre for Chronic Immunodeficiency, University Medical Center of Freiburg, Freiburg, Germany
| | | | - Annemarie Bruining
- Dutch Cancer Institute, Antoni van Leeuwenhoek Hospital, The Hague, The Netherlands
| | - Gertjan Driessen
- Paediatric Immunology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
- Paediatrics, Juliana Children's Hospital/Haga Teaching Hospital, The Hague, The Netherlands
| | - Esther de Vries
- Jeroen Bosch Academy, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
- Tranzo, Tilburg University, Tilburg, The Netherlands
| | - Peter M van Hagen
- Immunology and Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Ieneke Hartmann
- Department of Radiology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Francesco Fraioli
- Radiology, Università degli Studi di Roma La Sapienza, Rome, Italy
- Institute of Nuclear Medicine, University College London, London, UK
| | - Cinzia Milito
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Milica Mitrevski
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Isabella Quinti
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Goffredo Serra
- Radiology, Università degli Studi di Roma La Sapienza, Rome, Italy
| | - Peter Kelleher
- Immunology Section Department of Medicine, Imperial College London, London, UK
| | - Michael Loebinger
- Department of Respiratory Medicine, Royal Brompton Hospital, London, UK
| | - Jiri Litzman
- Department of Clinical Immunology and Allergy, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic
| | - Vera Postranecka
- Department of Radiology, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic
| | - Vojtech Thon
- Department of Clinical Immunology and Allergy, Faculty of Medicine, Masaryk University, St Anne's University Hospital, Brno, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Judith Babar
- Radiology, Addenbrooke's Hospital, Cambridge, UK
| | | | | | | | | | - Alison Jones
- Paediatric Immunology, Great Ormond Street Hospital, London, UK
| | | | - Vassilios Lougaris
- Pediatrics Clinic and Institute for Molecular Medicine A. Nocivelli, Department of Clinical and Experimental Sciences, University of Brescia and ASST-Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Plebani
- Pediatrics Clinic and Institute for Molecular Medicine A. Nocivelli, Department of Clinical and Experimental Sciences, University of Brescia and ASST-Spedali Civili of Brescia, Brescia, Italy
| | | | - Cesare Sirignano
- Radiology, IBB-CNR University of Naples Federico II, Naples, Italy
| | | | | | | | - Sabine Dettmer
- Diagnostic Radiology, Hanover Medical School, Hanover, Germany
| | - Robert Stirling
- Allergy, Immunology and Respiratory Medicine, The Alfred Hospital, Melbourne, Australia
| | - Helen Chapel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mary Lucas
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Smita Patel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Isabelle Meyts
- Paediatric Immunology and Pulmonology, University Hospitals, Leuven, Belgium
| | | | - Scott Hackett
- Paediatric Immunology Department, Heartlands Hospital Birmingham, Birmingham, UK
| | - John R Hurst
- UCL Respiratory Medicine, University College London, London, UK
| | - Klaus Warnatz
- Centre for Chronic Immunodeficiency, University Medical Center of Freiburg, Freiburg, Germany
| | - Benjamin Gathmann
- ESID Registry Working Party, University Hospital Freiburg, Freiburg, Germany
| | - Ulrich Baumann
- Paediatric Immunology Unit, Department of Paediatric Pulmonology, Allergology and Neonatology, Hanover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
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Fraioli F, Shankar A, Hyare H, Rega M, Mankad K, Militano V, Voo S, Ferrazzoli V, Barnes A. RADI-12. CORRELATION BETWEEN F-DOPA PET AND MRI IN BRAIN TUMOURS. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy059.652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | | | | | | | | | | | - Stefan Voo
- University College London Hospitals, London, UK
| | | | - Anna Barnes
- University College London Hospitals, London, UK
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Manber R, Thielemans K, Hutton BF, Wan S, Fraioli F, Barnes A, Ourselin S, Arridge S, Atkinson D. Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR, Using a Joint PET/MR Predictive Motion Model. J Nucl Med 2018. [PMID: 29523630 PMCID: PMC6126439 DOI: 10.2967/jnumed.117.191460] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
In PET imaging, patient motion due to respiration can lead to artifacts and blurring, in addition to quantification errors. The integration of PET imaging with MRI in PET/MRI scanners provides spatially aligned complementary clinical information and allows the use of high-contrast, high-spatial-resolution MR images to monitor and correct motion-corrupted PET data. On a patient cohort, we tested the ability of our joint PET/MRI-based predictive motion model to correct respiratory motion in PET and show it can improve lesion detectability and quantitation and reduce image artifacts. Methods: Using multiple tracers and multiple organ locations, we applied our motion correction method to 42 clinical PET/MRI patient datasets containing 162 PET-avid lesions. Quantitative changes were calculated using SUV changes in avid lesions. Lesion detectability changes were explored with a study in which 2 radiologists identified lesions in uncorrected and motion-corrected images and provided confidence scores. Results: Mean increases of 12.4% for SUVpeak and 17.6% for SUVmax after motion correction were found. In the detectability study, confidence scores for detecting avid lesions increased, with a rise in mean score from 2.67 to 3.01 (of 4) after motion correction and a rise in detection rate from 74% to 84%. Of 162 confirmed lesions, 49 showed an increase in all 3 metrics—SUVpeak, SUVmax, and combined reader confidence score—whereas only 2 lesions showed a decrease. We also present clinical case studies demonstrating the effect that respiratory motion correction of PET data can have on patient management, with increased numbers of detected lesions, improved lesion sharpness and localization, and reduced attenuation-based artifacts. Conclusion: We demonstrated significant improvements in quantification and detection of PET-avid lesions, with specific case study examples showing where motion correction has the potential to affect diagnosis or patient care.
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Affiliation(s)
- Richard Manber
- Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom
| | - Kris Thielemans
- Institute of Nuclear Medicine, UCL and UCL Hospitals, London, United Kingdom
| | - Brian F Hutton
- Institute of Nuclear Medicine, UCL and UCL Hospitals, London, United Kingdom.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia; and
| | - Simon Wan
- Institute of Nuclear Medicine, UCL and UCL Hospitals, London, United Kingdom
| | - Francesco Fraioli
- Institute of Nuclear Medicine, UCL and UCL Hospitals, London, United Kingdom
| | - Anna Barnes
- Institute of Nuclear Medicine, UCL and UCL Hospitals, London, United Kingdom
| | - Sébastien Ourselin
- Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, United Kingdom
| | - Simon Arridge
- Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, United Kingdom
| | - David Atkinson
- Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom
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Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Grönroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Quinn AM, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG, Swanton C. Corrigendum: Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature 2018; 554:264. [PMID: 29258292 DOI: 10.1038/nature25161] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This corrects the article DOI: 10.1038/nature22364.
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36
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Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Grönroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG, Swanton C. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature 2017; 545:446-451. [PMID: 28445469 PMCID: PMC5812436 DOI: 10.1038/nature22364] [Citation(s) in RCA: 1092] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 04/13/2017] [Indexed: 12/13/2022]
Abstract
The early detection of relapse following primary surgery for non-small-cell lung cancer and the characterization of emerging subclones, which seed metastatic sites, might offer new therapeutic approaches for limiting tumour recurrence. The ability to track the evolutionary dynamics of early-stage lung cancer non-invasively in circulating tumour DNA (ctDNA) has not yet been demonstrated. Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy (Rx)) study participants, including one patient who was also recruited to the PEACE (Posthumous Evaluation of Advanced Cancer Environment) post-mortem study. We identify independent predictors of ctDNA release and analyse the tumour-volume detection limit. Through blinded profiling of postoperative plasma, we observe evidence of adjuvant chemotherapy resistance and identify patients who are very likely to experience recurrence of their lung cancer. Finally, we show that phylogenetic ctDNA profiling tracks the subclonal nature of lung cancer relapse and metastasis, providing a new approach for ctDNA-driven therapeutic studies.
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MESH Headings
- Biopsy/methods
- Carcinoma, Non-Small-Cell Lung/blood
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/surgery
- Cell Lineage/genetics
- Cell Tracking
- Clone Cells/metabolism
- Clone Cells/pathology
- DNA Mutational Analysis
- DNA, Neoplasm/blood
- DNA, Neoplasm/genetics
- Disease Progression
- Drug Resistance, Neoplasm/genetics
- Early Detection of Cancer/methods
- Evolution, Molecular
- Humans
- Limit of Detection
- Lung Neoplasms/blood
- Lung Neoplasms/genetics
- Lung Neoplasms/pathology
- Lung Neoplasms/surgery
- Multiplex Polymerase Chain Reaction
- Neoplasm Metastasis/diagnosis
- Neoplasm Metastasis/genetics
- Neoplasm Metastasis/pathology
- Neoplasm Recurrence, Local/diagnosis
- Neoplasm Recurrence, Local/genetics
- Neoplasm Recurrence, Local/pathology
- Postoperative Care/methods
- Reproducibility of Results
- Tumor Burden
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Affiliation(s)
- Christopher Abbosh
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Nicolai J Birkbak
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Gareth A Wilson
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Tudor Constantin
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Raheleh Salari
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - John Le Quesne
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | - David A Moore
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | - Selvaraju Veeriah
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Rachel Rosenthal
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Teresa Marafioti
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Department of Pathology, University College London Hospitals, 21 University Street, London WC1 6JJ, UK
| | - Eser Kirkizlar
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Thomas B K Watkins
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Advanced Sequencing Facility, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Luke Martinson
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | - Joan Riley
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | - Francesco Fraioli
- Department of Nuclear Medicine, University College London Hospitals, 235 Euston Road, Fitzrovia, London, NW1 2BU, UK
| | - Maise Al Bakir
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Eva Grönroos
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Francisco Zambrana
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Raymondo Endozo
- Department of Nuclear Medicine, University College London Hospitals, 235 Euston Road, Fitzrovia, London, NW1 2BU, UK
| | - Wenya Linda Bi
- Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Fiona M Fennessy
- Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Nicole Sponer
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Diana Johnson
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Joanne Laycock
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Seema Shafi
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Justyna Czyzewska-Khan
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Andrew Rowan
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Tim Chambers
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Advanced Sequencing Facility, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Nik Matthews
- Advanced Sequencing Facility, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Tumour Profiling Unit Genomics Facility, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
| | - Samra Turajlic
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Renal and Skin Units, The Royal Marsden Hospital, London SW3 6JJ, UK
| | - Crispin Hiley
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Siow Ming Lee
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Department of Oncology, University College London Hospitals, 250 Euston Road, London NW1 2BU, UK
| | - Martin D Forster
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Department of Oncology, University College London Hospitals, 250 Euston Road, London NW1 2BU, UK
| | - Tanya Ahmad
- Department of Oncology, University College London Hospitals, 250 Euston Road, London NW1 2BU, UK
| | - Mary Falzon
- Department of Pathology, University College London Hospitals, 21 University Street, London WC1 6JJ, UK
| | - Elaine Borg
- Department of Pathology, University College London Hospitals, 21 University Street, London WC1 6JJ, UK
| | - David Lawrence
- Department of Cardiothoracic Surgery, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Martin Hayward
- Department of Cardiothoracic Surgery, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Shyam Kolvekar
- Department of Cardiothoracic Surgery, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Nikolaos Panagiotopoulos
- Department of Cardiothoracic Surgery, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Sam M Janes
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Department of Respiratory Medicine, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, Rayne Building, University College London, 5 University Street, London WC1E 6JF, UK
| | - Ricky Thakrar
- Department of Respiratory Medicine, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Asia Ahmed
- Department of Radiology, University College London Hospitals, 235 Euston Road, Fitzrovia, London NW1 2BU, UK
| | - Fiona Blackhall
- Institute of Cancer Studies, University of Manchester, Oxford Road, Manchester M13 9PL, UK
- The Christie Hospital, Manchester M20 4BX, UK
| | | | - Dina Hafez
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Ashwini Naik
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Apratim Ganguly
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Stephanie Kareht
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | - Rajesh Shah
- Department of Cardiothoracic Surgery, University Hospital South Manchester, Manchester M23 9LT, UK
| | - Leena Joseph
- Department of Pathology, University Hospital South Manchester, Manchester M23 9LT, UK
| | - Anne Marie Quinn
- Department of Pathology, University Hospital South Manchester, Manchester M23 9LT, UK
| | - Phil A Crosbie
- North West Lung Centre, University Hospital South Manchester, Manchester M23 9LT, UK
| | - Babu Naidu
- Department of Thoracic Surgery, Birmingham Heartlands Hospital, Birmingham B9 5SS, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK. University College London Hospitals NHS Foundation Trust, London, UK
| | - Gary Middleton
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham B15 2TT, UK
| | - Gerald Langman
- Department of Cellular Pathology, Birmingham Heartlands Hospital, Birmingham B9 5SS, UK
| | - Simon Trotter
- Department of Cellular Pathology, Birmingham Heartlands Hospital, Birmingham B9 5SS, UK
| | - Marianne Nicolson
- Department of Medical Oncology, Aberdeen University Medical School and Aberdeen Royal Infirmary, Aberdeen AB25 2ZN, UK
| | - Hardy Remmen
- Department of Cardiothoracic Surgery, Aberdeen University Medical School and Aberdeen Royal Infirmary, Aberdeen AB25 2ZD, UK
| | - Keith Kerr
- Department of Pathology, Aberdeen University Medical School and Aberdeen Royal Infirmary, Aberdeen AB25 2ZD, UK
| | - Mahendran Chetty
- Department of Respiratory Medicine, Aberdeen University Medical School and Aberdeen Royal Infirmary, Aberdeen AB25 2ZN, UK
| | - Lesley Gomersall
- Department of Radiology, Aberdeen University Medical School and Aberdeen Royal Infirmary, Aberdeen AB25 2ZN, UK
| | - Dean A Fennell
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | - Apostolos Nakas
- Department of Thoracic Surgery, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Sridhar Rathinam
- Department of Thoracic Surgery, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Girija Anand
- Department of Radiotherapy, North Middlesex University Hospital, London N18 1QX, UK
| | - Sajid Khan
- Department of Respiratory Medicine, Royal Free Hospital, Pond Street, London NW3 2QG, UK
- Department of Respiratory Medicine, Barnet and Chase Farm Hospitals, Wellhouse Lane, Barnet EN5 3DJ, UK
| | - Peter Russell
- Department of Respiratory Medicine, The Princess Alexandra Hospital, Hamstel Road, Harlow CM20 1QX, UK
| | - Veni Ezhil
- Department of Clinical Oncology, St.Luke's Cancer Centre, Royal Surrey County Hospital, Guildford GU2 7XX, UK
| | - Babikir Ismail
- Department of Pathology, Ashford and St. Peter's Hospital, Guildford Road, Chertsey, Surrey KT16 0PZ, UK
| | - Melanie Irvin-Sellers
- Department of Respiratory Medicine, Ashford and St. Peter's Hospital, Guildford Road, Chertsey, Surrey KT16 0PZ, UK
| | - Vineet Prakash
- Department of Radiology, Ashford and St. Peter's Hospital, Guildford Road, Chertsey, Surrey KT16 0PZ, UK
| | - Jason F Lester
- Department of Clinical Oncology, Velindre Hospital, Cardiff CF14 2TL, UK
| | | | - Richard Attanoos
- Department of Cellular Pathology, University Hospital of Wales and Cardiff University, Heath Park, Cardiff, UK
| | - Haydn Adams
- Department of Radiology, University Hospital Llandough, Cardiff CF64 2XX, UK
| | - Helen Davies
- Department of Respiratory Medicine, University Hospital Llandough, Cardiff CF64 2XX, UK
| | - Dahmane Oukrif
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Ayse U Akarca
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - John A Hartley
- University College London Experimental Cancer Medicine Centre GCLP Facility, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Helen L Lowe
- University College London Experimental Cancer Medicine Centre GCLP Facility, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Sara Lock
- Department of Respiratory Medicine, The Whittington Hospital NHS Trust, London, N19 5NF, UK
| | - Natasha Iles
- University College London, Cancer Research UK and UCL Cancer Trials Centre, London W1T 4TJ, UK
| | - Harriet Bell
- University College London, Cancer Research UK and UCL Cancer Trials Centre, London W1T 4TJ, UK
| | - Yenting Ngai
- University College London, Cancer Research UK and UCL Cancer Trials Centre, London W1T 4TJ, UK
| | - Greg Elgar
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Advanced Sequencing Facility, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Zoltan Szallasi
- Centre for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800 Lyngby, Denmark
- Computational Health Informatics Program (CHIP), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- MTA-SE-NAP, Brain Metastasis Research Group, 2nd Department of Pathology, Semmelweis University, 1091 Budapest, Hungary
| | - Roland F Schwarz
- Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Javier Herrero
- Bill Lyons Informatics Centre, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Aengus Stewart
- Department of Bioinformatics and Biostatistics, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Sergio A Quezada
- Cancer Immunology Unit, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
| | - Karl S Peggs
- Cancer Immunology Unit, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Research Department of Haematology, University College Cancer Institute, London WC1E 6DD, UK
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Department of Human Genetics, University of Leuven, B-3000 Leuven, Belgium
| | - Caroline Dive
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Cancer Research UK Manchester Institute, University of Manchester, Wilmslow Road, Manchester M20 4BX, UK
| | - C Jimmy Lin
- Natera Inc., 201 Industrial Road, San Carlos, California 94070, USA
| | | | - Hugo J W L Aerts
- Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215-5450, USA
| | - Allan Hackshaw
- University College London, Cancer Research UK and UCL Cancer Trials Centre, London W1T 4TJ, UK
| | - Jacqui A Shaw
- Cancer Studies, University of Leicester, Leicester LE2 7LX, UK
| | | | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence London and Manchester, University College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6DD, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
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Fraioli F, Kayani I, Smith LJ, Bomanji JB, Capitanio A, Falzon M, Carroll B, Navani N, Brown J, Thakrar RM, George PJ, Groves AM, Janes SM. Positive (18)Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography Predicts Preinvasive Endobronchial Lesion Progression to Invasive Cancer. Am J Respir Crit Care Med 2016; 193:576-9. [PMID: 26930434 DOI: 10.1164/rccm.201508-1617le] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | - Irfan Kayani
- 2 University College London Hospitals London, United Kingdom
| | | | | | | | - Mary Falzon
- 1 University College London London, United Kingdom and
| | | | - Neal Navani
- 2 University College London Hospitals London, United Kingdom
| | - James Brown
- 1 University College London London, United Kingdom and
| | | | | | | | - Sam M Janes
- 1 University College London London, United Kingdom and
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Tsouana E, Stoneham S, Fersht N, Kitchen N, Gaze M, Bomanji J, Fraioli F, Hargrave D, Shankar A. Evaluation of treatment response using integrated 18F-labeled choline positron emission tomography/magnetic resonance imaging in adolescents with intracranial non-germinomatous germ cell tumours. Pediatr Blood Cancer 2015; 62:1661-3. [PMID: 25854508 DOI: 10.1002/pbc.25538] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 03/09/2015] [Indexed: 12/26/2022]
Abstract
The efficacy of hybrid 18F-Fluroethyl-Choline (FEC) positron emission tomography (PET)/magnetic resonance imaging (MRI) was investigated as an imaging modality for diagnosis and assessment of treatment response and remission status in four patients with proven or suspected intracranial non-germinomatous germ cell tumours (NGGCT). In two patients faint or absent choline avidity correlated with negative histology, whereas in other two patients, persistent choline avidity in the residual mass was suggestive of presence of viable tumour, subsequently confirmed histologically. We conclude that FEC-PET/MRI may be an effective imaging tool in detecting viable residual tumour in patients with intracranial NGGCT post treatment.
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Affiliation(s)
- Eva Tsouana
- Department of Pediatric & Adolescent Oncology, University College London Hospitals NHS Foundation Trust, UK
| | - Sara Stoneham
- Department of Pediatric & Adolescent Oncology, University College London Hospitals NHS Foundation Trust, UK
| | - Naomi Fersht
- Department of Oncology, University College London Hospitals NHS Foundation Trust, UK
| | - Neil Kitchen
- Department of Neurosurgery, University College London Hospitals NHS Foundation Trust, UK
| | - Mark Gaze
- Department of Oncology, University College London Hospitals NHS Foundation Trust, UK
| | - Jamshed Bomanji
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, UK
| | - Darren Hargrave
- Department of Pediatric Oncology, Great Ormond Street Hospital, UK
| | - Ananth Shankar
- Department of Pediatric & Adolescent Oncology, University College London Hospitals NHS Foundation Trust, UK
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40
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Milito C, Pulvirenti F, Serra G, Valente M, Pesce AM, Granata G, Catalano C, Fraioli F, Quinti I. Lung magnetic resonance imaging with diffusion weighted imaging provides regional structural as well as functional information without radiation exposure in primary antibody deficiencies. J Clin Immunol 2015; 35:491-500. [PMID: 26067227 PMCID: PMC4502290 DOI: 10.1007/s10875-015-0172-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 05/25/2015] [Indexed: 12/26/2022]
Abstract
Purpose Primary antibody deficiency patients suffer from infectious and non-infectious pulmonary complications leading over time to chronic lung disease. The complexity of this pulmonary involvement poses significant challenge in differential diagnosis in patients with long life disease and increased radio sensitivity. We planned to verify the utility of chest Magnetic Resolution Imaging with Diffusion-Weighted Imaging as a radiation free technique. Methods Prospective evaluation of 18 patients with Common Variable Immunodeficiency and X-linked Agammaglobulinemia. On the same day, patients underwent Magnetic Resonance Imaging with Diffusion Weighted Imaging sequences, High Resolution Computerized Tomography and Pulmonary Function Tests, including diffusing capacity factor for carbon monoxide. Images were scored using a modified version of the Bhalla scoring system. Results Magnetic Resonance Imaging was non-inferior to High Resolution Computerized Tomography in the capacity to identify bronchial and parenchymal abnormalities. HRCT had a higher capacity to identify peripheral airways abnormalities, defined as an involvement of bronchial generation up to the fifth and distal (scores 2–3). Bronchial scores negatively related to pulmonary function tests. One third of consolidations and nodules had Diffusion Weighted Imaging restrictions associated with systemic granulomatous disease and systemic lymphadenopathy. Lung Magnetic Resolution Imaging detected an improvement of bronchial and parenchymal abnormalities, in recently diagnosed patients soon after starting Ig replacement. Conclusions Magnetic Resonance Imaging with Diffusion Weighted Imaging was a reliable technique to detect lung alterations in patients with Primary Antibody Deficiencies. Electronic supplementary material The online version of this article (doi:10.1007/s10875-015-0172-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Cinzia Milito
- Department of Molecular Medicine, Sapienza University of Rome, Viale dell'Università 37, Rome, Italy
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41
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Ciet P, Serra G, Bertolo S, Spronk S, Ros M, Fraioli F, Quattrucci S, Assael MB, Catalano C, Pomerri F, Tiddens HAWM, Morana G. Assessment of CF lung disease using motion corrected PROPELLER MRI: a comparison with CT. Eur Radiol 2015; 26:780-7. [PMID: 26024847 DOI: 10.1007/s00330-015-3850-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [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: 02/02/2015] [Revised: 05/05/2015] [Accepted: 05/13/2015] [Indexed: 01/01/2023]
Abstract
OBJECTIVES To date, PROPELLER MRI, a breathing-motion-insensitive technique, has not been assessed for cystic fibrosis (CF) lung disease. We compared this technique to CT for assessing CF lung disease in children and adults. METHODS Thirty-eight stable CF patients (median 21 years, range 6-51 years, 22 female) underwent MRI and CT on the same day. Study protocol included respiratory-triggered PROPELLER MRI and volumetric CT end-inspiratory and -expiratory acquisitions. Two observers scored the images using the CF-MRI and CF-CT systems. Scores were compared with intra-class correlation coefficient (ICC) and Bland-Altman plots. The sensitivity and specificity of MRI versus CT were calculated. RESULTS MRI sensitivity for detecting severe CF bronchiectasis was 0.33 (CI 0.09-0.57), while specificity was 100% (CI 0.88-1). ICCs for bronchiectasis and trapped air were as follows: MRI-bronchiectasis (0.79); CT-bronchiectasis (0.85); MRI-trapped air (0.51); CT-trapped air (0.87). Bland-Altman plots showed an MRI tendency to overestimate the severity of bronchiectasis in mild CF disease and underestimate bronchiectasis in severe disease. CONCLUSIONS Motion correction in PROPELLER MRI does not improve assessment of CF lung disease compared to CT. However, the good inter- and intra-observer agreement and the high specificity suggest that MRI might play a role in the short-term follow-up of CF lung disease (i.e. pulmonary exacerbations). KEY POINTS PROPELLER MRI does not match CT sensitivity to assess CF lung disease. PROPELLER MRI has lower sensitivity than CT to detect severe bronchiectasis. PROPELLER MRI has good to very good intra- and inter-observer variability. PROPELLER MRI can be used for short-term follow-up studies in CF.
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Affiliation(s)
- Pierluigi Ciet
- Radiology Department, General Hospital Ca' Foncello, Treviso, Italy.,Pediatric Pulmonology Erasmus MC, Sophia Children's Hospital, Rotterdam, The Netherlands.,Radiology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Silvia Bertolo
- Radiology Department, General Hospital Ca' Foncello, Treviso, Italy
| | - Sandra Spronk
- Radiology, Erasmus MC, Rotterdam, The Netherlands.,Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Mirco Ros
- Pediatrics, Ca' Foncello Hospital, Treviso, Italy
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | | | | | | | - Fabio Pomerri
- Department of Medicine-DIMED, University of Padova, Padova, Italy
| | - Harm A W M Tiddens
- Pediatric Pulmonology Erasmus MC, Sophia Children's Hospital, Rotterdam, The Netherlands.,Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Giovanni Morana
- Radiology Department, General Hospital Ca' Foncello, Treviso, Italy.
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42
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Anzidei M, Sacconi B, Fraioli F, Saba L, Lucatelli P, Napoli A, Longo F, Vitolo D, Venuta F, Anile M, Diso D, Bezzi M, Catalano C. Development of a prediction model and risk score for procedure-related complications in patients undergoing percutaneous computed tomography-guided lung biopsy. Eur J Cardiothorac Surg 2015; 48:e1-6. [PMID: 25983080 DOI: 10.1093/ejcts/ezv172] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 04/08/2015] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES To propose a risk score predicting the potential occurrence of procedure-related complications in patients undergoing computed tomography (CT)-guided lung biopsy. METHODS Institution review board approval was obtained. A total of 342 CT-guided lung biopsies were retrospectively evaluated taking into account procedure-related complications and associated risk factors, including patient gender and age, previous radiation therapy (RT) and/or chemotherapy (CHT), lesion size, depth and location, incomplete pulmonary fissures, associated diffuse lung diseases, previous pneumothorax (PNX), lung volumes, punctured fissures, thoracic access, needle size and operator experience. Complications were assessed on chest X-ray and/or CT scans. Stepwise logistic regression was used to identify risk factors, to evaluate their correlation with procedure-related complications and to calculate models of risk (MoRs). RESULTS PNX requiring chest tube placement occurred in 39 patients (11.4%), high-grade pulmonary parenchymal haemorrhage occurred in 62 patients (18.1%) and haemothorax occurred in 12 patients (3.5%). Risk factors increasing the incidence of complications were lesion size (P = 0.01), lesion depth (P = 0.01) and incomplete pulmonary fissures (P = 0.01); previous chemo-radiation therapy was correlated to a lower incidence of complications (P = 0.01). MoR for PNX was as follows: risk base line = 60%; age = +0.15%/year; punctured fissures = +20%; incomplete fissures = +9%; previous CHT/RT = -10%. MoR for parenchymal haemorrhage was as follows: risk base line = 20%, lesion depth = +0.8%/mm; age = +0.25%/year; incomplete fissures = +15%. MoR for haemothorax was as follows: risk base line = 1%; previous PNX = +20%; incomplete fissures = 7%; both previous PNX and incomplete fissures = +67%. CONCLUSION This study provides MoRs to predict the risk of complications in patients undergoing CT-guided percutaneous lung biopsies.
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Affiliation(s)
- Michele Anzidei
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
| | - Beatrice Sacconi
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London Hospital, London, UK
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, Monserrato, Italy
| | - Pierleone Lucatelli
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
| | - Alessandro Napoli
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
| | - Flavia Longo
- Department of Radiological, Oncological and Anatomopathological Sciences - Oncology, 'Sapienza' University of Rome, Rome, Italy
| | - Domenico Vitolo
- Department of Radiological, Oncological and Anatomopathological Sciences- Pathology, 'Sapienza' University of Rome, Rome, Italy
| | - Federico Venuta
- Department of Thoracic Surgery, 'Sapienza' University of Rome, Rome, Italy
| | - Marco Anile
- Department of Thoracic Surgery, 'Sapienza' University of Rome, Rome, Italy
| | - Daniele Diso
- Department of Thoracic Surgery, 'Sapienza' University of Rome, Rome, Italy
| | - Mario Bezzi
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Anatomopathological Sciences - Radiology, 'Sapienza' University of Rome, Rome, Italy
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Fraioli F, Screaton NJ, Janes SM, Win T, Menezes L, Kayani I, Syed R, Zaccagna F, O'Meara C, Barnes A, Bomanji JB, Punwani S, Groves AM. Non-small-cell lung cancer resectability: diagnostic value of PET/MR. Eur J Nucl Med Mol Imaging 2015; 42:49-55. [PMID: 25120040 PMCID: PMC4244545 DOI: 10.1007/s00259-014-2873-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Accepted: 07/20/2014] [Indexed: 12/26/2022]
Abstract
PURPOSE To assess the diagnostic performance of PET/MR in patients with non-small-cell lung cancer. METHODS Fifty consecutive consenting patients who underwent routine (18)F-FDG PET/CT for potentially radically treatable lung cancer following a staging CT scan were recruited for PET/MR imaging on the same day. Two experienced readers, unaware of the results with the other modalities, interpreted the PET/MR images independently. Discordances were resolved in consensus. PET/MR TNM staging was compared to surgical staging from thoracotomy as the reference standard in 33 patients. In the remaining 17 nonsurgical patients, TNM was determined based on histology from biopsy, imaging results (CT and PET/CT) and follow-up. ROC curve analysis was used to assess accuracy, sensitivity and specificity of the PET/MR in assessing the surgical resectability of primary tumour. The kappa statistic was used to assess interobserver agreement in the PET/MR TNM staging. Two different readers, without knowledge of the PET/MR findings, subsequently separately reviewed the PET/CT images for TNM staging. The generalized kappa statistic was used to determine intermodality agreement between PET/CT and PET/MR for TNM staging. RESULTS ROC curve analysis showed that PET/MR had a specificity of 92.3 % and a sensitivity of 97.3 % in the determination of resectability with an AUC of 0.95. Interobserver agreement in PET/MR reading ranged from substantial to perfect between the two readers (Cohen's kappa 0.646 - 1) for T stage, N stage and M stage. Intermodality agreement between PET/CT and PET/MR ranged from substantial to almost perfect for T stage, N stage and M stage (Cohen's kappa 0.627 - 0.823). CONCLUSION In lung cancer patients PET/MR appears to be a robust technique for preoperative staging.
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Affiliation(s)
- Francesco Fraioli
- Department of Nuclear Medicine and Radiology, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London, NW1 2BU, UK,
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Salvatore B, Caprio M, Fonti R, D’Amico D, Fraioli F, Salvatore M, Pace L. Is 2-deoxy-2-[(18)F]fluoro-D-glucose PET/CT acquisition from the upper thigh to the vertex of skull useful in oncological patients? Transl Med UniSa 2014; 11:34-8. [PMID: 25674547 PMCID: PMC4309653] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
AIM To assess whether performing routinely 2-deoxy-2-[(18)F]fluoro-D-glucose PET/CT ((18)FDG PET/CT) scan from the upper thigh to the vertex of skull is clinically relevant. MATERIALS AND METHODS 3502 (1634 female; mean-age 60+16) consecutive patients undergoing (18)FDG PET/CT were retrospectively analyzed. Patients were divided in 10 groups according to primary malignancy. Chi-square analysis was used to assess differences among proportions. A p value < 0.05 was considered significant. RESULTS (18)FDG PET/CT was positive in head district in 130/3502 (3,7%) patients. In all patients lesions were unknown before PET/CT examination. PET/CT showed 158 positive brain/head uptake in the 130 patients. The 158 lesions were localized in: brain (43/158; 27%), bone (52/158; 33%), lymph node (1/158; 0,6%), soft tissue (55/158; 35%) and other sites (7/158; 4,4%). According to each group, patients were positive in the head district in 1.0% for Gastrointestinal Cancer (7/690), 3.0 % for Genitourinary Cancer (3/101), 3.7 % for Haemathologic Cancer (59/1590), 2.7 % for Gynaecologic Cancer (3/112), 7.8% for Head-Neck-Thyroid and Parathyroid Cancer (26/331), 3.5% for Breast Cancer (7/200), 2.6% for Lung Cancer (7/271), 3.4% for Melanoma (2/59), 7.4% for Sarcoma (2/27), 11.6% for Unknown Primary Tumour (14/121). CONCLUSION Our data show a relatively high incidence of brain/head lesion in patients with Unknown Primary Tumour.
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Affiliation(s)
- B. Salvatore
- Consiglio Nazionale delle Ricerche–Istituto di Biostrutture e Bioimmagini, Napoli, Italy
| | - M.G. Caprio
- Dipartimento ad attività integrate di Diagnostica Morfologica e Funzionale, Radioterapia, Medicina Legale. Università degli Studi di Napoli Federico II, Italy
| | - R. Fonti
- Consiglio Nazionale delle Ricerche–Istituto di Biostrutture e Bioimmagini, Napoli, Italy
| | | | - F. Fraioli
- Dipartimento ad attività integrate di Diagnostica Morfologica e Funzionale, Radioterapia, Medicina Legale. Università degli Studi di Napoli Federico II, Italy
| | - M. Salvatore
- Dipartimento ad attività integrate di Diagnostica Morfologica e Funzionale, Radioterapia, Medicina Legale. Università degli Studi di Napoli Federico II, Italy,Corresponding author:
| | - L. Pace
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Salerno, Italy
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Ordidge KL, Brown JM, Succony L, Navani N, Hardavella G, Lawrence DR, Fraioli F, Groves A, Janes SM. Massive pulmonary carcinoid tumor deemed inoperable until (68)Ga DOTATATE positron emission tomography/magnetic resonance imaging. Am J Respir Crit Care Med 2014; 190:e16-7. [PMID: 25171317 DOI: 10.1164/rccm.201309-1635im] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- K L Ordidge
- 1 Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, Rayne Building, University College London, London, United Kingdom
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Diso D, Anile M, Carillo C, Ruberto F, Patella M, Russo E, Fraioli F, De Giacomo T, Mantovani S, Rendina E, Venuta F. Correlation between collateral ventilation and interlobar lung fissures. Respiration 2014; 88:315-9. [PMID: 25170658 DOI: 10.1159/000363538] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 05/09/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND New bronchoscopic techniques for end-stage emphysema treatment are nowadays available; the presence of interlobar collateral ventilation (CV) and interlobar lung fissures (ILF) is crucial for patient selection. OBJECTIVES Assessment of these variables has been reported previously, but it has never been anatomically validated in vivo. This is the purpose of our study. METHODS Twenty-one patients undergoing lung resection for lung cancer were prospectively enrolled in this study. At operation, CV was assessed by the Chartis catheter system. ILF completeness at high-resolution computed tomography (HRCT) was retrospectively reviewed. The ILF status at HRCT and at surgery was compared; furthermore, the relationship between CV and ILF status was assessed. RESULTS At HRCT, ILF were incomplete in 18 cases; at catheter evaluation, CV was present in 11 cases; 15 patients had incomplete ILF at operation. HRCT specificity, sensitivity and accuracy were 33, 93 and 76% compared with ILF status at surgery. HRCT accuracy was 90% on the right and 63% on the left. We demonstrated a high grade of probability of CV presence and incomplete ILF at surgery (odds ratio = 10.0). CONCLUSIONS There is a correlation between ILF status and CV. Both catheter evaluation of CV and HRCT assessment of ILF show some limitations. However, the cumulative information provided by these techniques allows to reliably assess the anatomical ILF status.
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Affiliation(s)
- Daniele Diso
- Department of Thoracic Surgery, University of Rome Sapienza, Rome, Italy
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Abstract
Evaluation of the molecular processes responsible for disease pathogenesis and progression represents the new frontier of clinical radiology. Multimodality imaging lies at the cutting edge, combining the power of MRI for tissue characterization, microstructural appraisal and functional assessment together with new positron emission tomography (PET) tracers designed to target specific metabolic processes. The recent commercial availability of an integrated clinical whole-body PET-MRI provides a hybrid platform for exploring and exploiting the synergies of multimodal imaging. First experiences on the clinical and research application of hybrid PET-MRI are emerging. This article reviews the rapidly evolving field and speculates on the potential future direction.
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Affiliation(s)
- F Fraioli
- Institute of Nuclear Medicine, University College London, London, UK
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Fraioli F, Anzidei M, Serra G, Liberali S, Fiorelli A, Zaccagna F, Longo F, Anile M, Catalano C. Whole-tumour CT-perfusion of unresectable lung cancer for the monitoring of anti-angiogenetic chemotherapy effects. Br J Radiol 2013; 86:20120174. [PMID: 23908346 DOI: 10.1259/bjr.20120174] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To determine whether CT-perfusion (CT-p) can be used to evaluate the effects of chemotherapy and anti-angiogenic treatment in patients with non-small-cell lung carcinoma (NSCLC) and whether CT-p and standard therapeutic response assessment (RECIST) data obtained before and after therapy correlate. METHODS 55 patients with unresectable NSCLC underwent CT-p before the beginning of therapy and 50 of them repeated CT-p 90 days after it. Therapeutic protocol included platinum-based doublets plus bevacizumab for non-squamous carcinoma and platinum-based doublets for squamous carcinoma. RECIST measurements and calculations of blood flow (BF), blood volume (BV), time to peak (TTP) and permeability surface (PS) were performed, and baseline and post-treatment measurements were tested for statistically significant differences. Baseline and follow-up perfusion parameters were also compared based on histopathological subclassification (2004 World Health Organization Classification of Tumours) and therapy response assessed by RECIST. RESULTS Tumour histology was consistent with large cell carcinoma in 14/50 (28%) cases, adenocarcinoma in 22/50 (44%) cases and squamous cell carcinoma in the remaining 14/50 (28%) cases. BF and PS differences for all tumours between baseline and post-therapy measurements were significant (p=0.001); no significant changes were found for BV (p=0.3) and TTP (p=0.1). The highest increase of BV was demonstrated in adenocarcinoma (5.2±34.1%), whereas the highest increase of TTP was shown in large cell carcinoma (6.9±22.4%), and the highest decrease of PS was shown in squamous cell carcinoma (-21.5±18.5%). A significant difference between the three histological subtypes was demonstrated only for BV (p<0.007). On the basis of RECIST criteria, 8 (16%) patients were classified as partial response (PR), 2 (4%) as progressive disease (PD) and the remaining 40 (80%) as stable disease (SD). Among PR, a decrease of both BF (18±9.6%) and BV (12.6±9.2%) were observed; TTP increased in 3 (37.5%) cases, and PS decreased in 6 (75%) cases. SD patients showed an increase of BF, BV, TTP and PS in 6 (15%), 21 (52.5%), 23 (57.5%) and 2 (5%) cases, respectively. PD patients demonstrated an increase of BF (26±0.2%), BV (2.7±0.1%) and TTP (3.1±0.8%) while only PS decreased (23±0.2%). CONCLUSION CT-p can adequately evaluate therapy-induced alterations in NSCLC, and perfusion parameters correlate with therapy response assessment performed with RECIST criteria. ADVANCES IN KNOWLEDGE Evaluating perfusional parameters, CT-p can demonstrate therapy-induced changes in patients with different types of lung cancer and identify response to treatment with excellent agreement to RECIST measurements.
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Affiliation(s)
- F Fraioli
- Department of Nuclear Medicine, University College London Hospitals, NHS Foundation Trust, London, UK.
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Brozzetti S, Miccini M, Bononi M, Al Mansour M, Borghese O, Gregori M, Fraioli F, De Toma G, Tocchi A. Treatment of congenital liver cysts. A surgical technique tailored through a 35-year experience. Ann Ital Chir 2013; 84:93-98. [PMID: 23445783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND The most important aims of the treatment of CLC are long-term relief of symptoms and elimination of cysts. Treatment of choice is yet debated. METHODS Data of patients treated for CLC during a 35-years experience were retrospectively analyzed. Variables analyzed were: age, sex, hepatic cyst location, cyst diameter, symptoms, surgical procedure, short and long-term outcomes. RESULTS We examined 49 consecutive patients treated for CLC (mean follow-up, 76 months). The study was divided into two periods: 1975-1999 and 2000-2010. Procedures performed in the first period were needle aspiration and sclerotherapy (n= 6), hepatic resections (9), cystojejunostomy (4), open unroofing (10), and laparoscopic unroofing (8). Omentopexy within the residual cystic cavity was associated with seven open and two laparoscopic unroofing cases. Rates of morbidity and recurrence were 23.5% and 44.1%, respectively. One patient died in the peri-operative period. Procedures performed in the second period were open unroofing (9), laparoscopic unroofing (5), and hepatic resection (1). Omentopexy was associated with all open procedures and two laparoscopic procedures. Overall morbidity in this group was 16.6%, and recurrence occurred in one patient (6.7%). CONCLUSIONS Cyst unroofing and omentopexy is a safe and highly effective procedure for the treatment of CLC. Laparoscopy is confirmed as the procedure of choice except for cases in which the cysts are in the posterior right liver, where a wide mobilization of the liver is necessary.
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Abstract
Several radiographic diagnostic techniques are currently available to assess the potential involvement of mediastinal lymph nodes in thoracic oncology. In particular, computed tomography and magnetic resonance imaging have been repeatedly validated; these techniques allow adequate imaging with a reasonable accuracy. The morphologic information provided by these techniques is crucial to stage lung cancer and plan treatment. These techniques are also extremely useful to evaluate other disorders and differentiate malignancy from benign disease.
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Affiliation(s)
- Maria Luisa Mennini
- Department of Radiological Sciences, Sapienza University of Rome, Policlinico Umberto I, V.le Regina Elena 324, Roma 00161, Italy
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