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Hutchings K, Al Zaki A, Bhadkamkar N, Willis J. Symptomatic pseudoprogression in metastatic colorectal cancer. BMJ Case Rep 2024; 17:e258816. [PMID: 38871645 DOI: 10.1136/bcr-2023-258816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024] Open
Abstract
A man in his 70s with metastatic colorectal cancer presented with worsening clinical symptoms and imaging studies concerning for disease progression. He had received two cycles of pembrolizumab, but due to his symptomatic presentation and significant decline in performance status, there was concern for worsening disease. Transitioning to hospice was briefly considered, given his clinical decline and the notable increase in tumour size. Despite the presence of clinical symptoms and radiographic findings, pseudoprogression-defined as an increase in the size(s) of and/or visual appearance of new lesion(s), followed by a response-was also considered as part of the diagnostic possibilities. Consequently, the decision was made to proceed with a third cycle of pembrolizumab. During his subsequent outpatient follow-up, the patient showed significant symptomatic improvement and reported a decrease in his palpable right flank mass. With further immunotherapy, the patient continued to demonstrate symptomatic and radiological improvement.
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Affiliation(s)
- Kasen Hutchings
- Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ajlan Al Zaki
- General Oncology, The University of Texas MD Anderson Cancer Center Division of Cancer Medicine, Houston, Texas, USA
| | - Nishin Bhadkamkar
- General Oncology, The University of Texas MD Anderson Cancer Center Division of Cancer Medicine, Houston, Texas, USA
- Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center Division of Cancer Medicine, Houston, Texas, USA
| | - Jason Willis
- Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center Division of Cancer Medicine, Houston, Texas, USA
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2
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Bayat M, Doroudinia A, Karam MB, Mehrian P. FDG PET/CT in Immune-Related Arthritis in a Patient Treated With Nivolumab. Clin Nucl Med 2023; 48:271-272. [PMID: 36252811 DOI: 10.1097/rlu.0000000000004429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
ABSTRACT Immune checkpoint inhibitors are a new and different treatment option in many of solid tumors, but with many recognized immune-related adverse side effects. In this interesting image, we are presenting a 56-year-old woman with primary malignant melanoma who underwent nivolumab therapy for 5 months, and a posttreatment whole-body FDG PET/CT scan for treatment response evaluation demonstrated increased metabolic activity in the entire major joints of the upper and lower extremities. This was a new finding compared with previous FDG PET/CT scan and was interpreted as an immune-related arthritis complication.
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Affiliation(s)
- Mohadeseh Bayat
- From the Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Granata V, Fusco R, Setola SV, Simonetti I, Picone C, Simeone E, Festino L, Vanella V, Vitale MG, Montanino A, Morabito A, Izzo F, Ascierto PA, Petrillo A. Immunotherapy Assessment: A New Paradigm for Radiologists. Diagnostics (Basel) 2023; 13:diagnostics13020302. [PMID: 36673112 PMCID: PMC9857844 DOI: 10.3390/diagnostics13020302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/31/2022] [Accepted: 01/08/2023] [Indexed: 01/14/2023] Open
Abstract
Immunotherapy denotes an exemplar change in an oncological setting. Despite the effective application of these treatments across a broad range of tumors, only a minority of patients have beneficial effects. The efficacy of immunotherapy is affected by several factors, including human immunity, which is strongly correlated to genetic features, such as intra-tumor heterogeneity. Classic imaging assessment, based on computed tomography (CT) or magnetic resonance imaging (MRI), which is useful for conventional treatments, has a limited role in immunotherapy. The reason is due to different patterns of response and/or progression during this kind of treatment which differs from those seen during other treatments, such as the possibility to assess the wide spectrum of immunotherapy-correlated toxic effects (ir-AEs) as soon as possible. In addition, considering the unusual response patterns, the limits of conventional response criteria and the necessity of using related immune-response criteria are clear. Radiomics analysis is a recent field of great interest in a radiological setting and recently it has grown the idea that we could identify patients who will be fit for this treatment or who will develop ir-AEs.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
- Correspondence:
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Sergio Venanzio Setola
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Igino Simonetti
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Carmine Picone
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Ester Simeone
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Lucia Festino
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Vito Vanella
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Maria Grazia Vitale
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Agnese Montanino
- Thoracic Medical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Alessandro Morabito
- Thoracic Medical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Francesco Izzo
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Paolo Antonio Ascierto
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Antonella Petrillo
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
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Berz AM, Boughdad S, Vietti-Violi N, Digklia A, Dromain C, Dunet V, Duran R. Imaging assessment of toxicity related to immune checkpoint inhibitors. Front Immunol 2023; 14:1133207. [PMID: 36911692 PMCID: PMC9995973 DOI: 10.3389/fimmu.2023.1133207] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 02/10/2023] [Indexed: 02/25/2023] Open
Abstract
In recent years, a wide range of cancer immunotherapies have been developed and have become increasingly important in cancer treatment across multiple oncologic diseases. In particular, immune checkpoint inhibitors (ICIs) offer promising options to improve patient outcomes. However, a major limitation of these treatments consists in the development of immune-related adverse events (irAEs) occurring in potentially any organ system and affecting up to 76% of the patients. The most frequent toxicities involve the skin, gastrointestinal tract, and endocrine system. Although mostly manageable, potentially life-threatening events, particularly due to neuro-, cardiac, and pulmonary toxicity, occur in up to 30% and 55% of the patients treated with ICI-monotherapy or -combination therapy, respectively. Imaging, in particular computed tomography (CT), magnetic resonance imaging (MRI), and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG-PET/CT), plays an important role in the detection and characterization of these irAEs. In some patients, irAEs can even be detected on imaging before the onset of clinical symptoms. In this context, it is particularly important to distinguish irAEs from true disease progression and specific immunotherapy related response patterns, such as pseudoprogression. In addition, there are irAEs which might be easily confused with other pathologies such as infection or metastasis. However, many imaging findings, such as in immune-related pneumonitis, are nonspecific. Thus, accurate diagnosis may be delayed underling the importance for adequate imaging features characterization in the appropriate clinical setting in order to provide timely and efficient patient management. 18F-FDG-PET/CT and radiomics have demonstrated to reliably detect these toxicities and potentially have predictive value for identifying patients at risk of developing irAEs. The purpose of this article is to provide a review of the main immunotherapy-related toxicities and discuss their characteristics on imaging.
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Affiliation(s)
- Antonia M Berz
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Sarah Boughdad
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Naïk Vietti-Violi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Antonia Digklia
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Clarisse Dromain
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Vincent Dunet
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Rafael Duran
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Dercle L, Sun S, Seban RD, Mekki A, Sun R, Tselikas L, Hans S, Bernard-Tessier A, Mihoubi Bouvier F, Aide N, Vercellino L, Rivas A, Girard A, Mokrane FZ, Manson G, Houot R, Lopci E, Yeh R, Ammari S, Schwartz LH. Emerging and Evolving Concepts in Cancer Immunotherapy Imaging. Radiology 2023; 306:32-46. [PMID: 36472538 DOI: 10.1148/radiol.210518] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Criteria based on measurements of lesion diameter at CT have guided treatment with historical therapies due to the strong association between tumor size and survival. Clinical experience with immune checkpoint modulators shows that editing immune system function can be effective in various solid tumors. Equally, novel immune-related phenomena accompany this novel therapeutic paradigm. These effects of immunotherapy challenge the association of tumor size with response or progression and include risks and adverse events that present new demands for imaging to guide treatment decisions. Emerging and evolving approaches to immunotherapy highlight further key issues for imaging evaluation, such as dissociated response following local administration of immune checkpoint modulators, pseudoprogression due to immune infiltration in the tumor environment, and premature death due to hyperprogression. Research that may offer tools for radiologists to meet these challenges is reviewed. Different modalities are discussed, including immuno-PET, as well as new applications of CT, MRI, and fluorodeoxyglucose PET, such as radiomics and imaging of hematopoietic tissues or anthropometric characteristics. Multilevel integration of imaging and other biomarkers may improve clinical guidance for immunotherapies and provide theranostic opportunities.
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Affiliation(s)
- Laurent Dercle
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Shawn Sun
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Romain-David Seban
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Ahmed Mekki
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Roger Sun
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Lambros Tselikas
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Sophie Hans
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Alice Bernard-Tessier
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Fadila Mihoubi Bouvier
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Nicolas Aide
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Laetitia Vercellino
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Alexia Rivas
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Antoine Girard
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Fatima-Zohra Mokrane
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Guillaume Manson
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Roch Houot
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Egesta Lopci
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Randy Yeh
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Samy Ammari
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Lawrence H Schwartz
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
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Crutcher MM, Snook AE, Waldman SA. Overview of predictive and prognostic biomarkers and their importance in developing a clinical pharmacology treatment plan in colorectal cancer patients. Expert Rev Clin Pharmacol 2022; 15:1317-1326. [PMID: 36259230 PMCID: PMC9847576 DOI: 10.1080/17512433.2022.2138339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 10/14/2022] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Colorectal cancer (CRC) is the second most common cause of cancer-related death worldwide. Although overall survival for CRC patients has improved with earlier screening, survival continues to vary substantially across stages. Also, while the introduction of targeted therapies, including VEGF and EGFR inhibitors, has contributed to improving survival, better tools are needed to optimize patient selection and maximize therapeutic benefits. Emerging biomarkers can be used to guide pharmacologic decision-making, as well as monitor treatment response, clarify the need for adjuvant therapies, and indicate early signs of recurrence. This is a narrative review examining the current and evolving use of predictive and prognostic biomarkers in colorectal cancer. AREAS COVERED Areas covered include mutations of the MAPK (KRAS, BRAF) and HER2 pathways and their impacts on treatment decisions. In addition, novel methods for assessing tumor mutations and tracking treatment responses are examined. EXPERT OPINION The standard of care pathway for staging, and treatment selection and surveillance, of CRC will expand to include novel biomarkers in the next 5 years. It is anticipated that these new biomarkers will assist in decision-making regarding selection of targeted therapies and, importantly, in risk stratification for treatment decisions in patients at high risk for recurrence.
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Affiliation(s)
| | - Adam E. Snook
- Departmnet of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA 19107
- Department of Microbiology & Immunology, Thomas Jefferson University, Philadelphia, PA 19107
| | - Scott A. Waldman
- Departmnet of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA 19107
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7
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Berz AM, Dromain C, Vietti-Violi N, Boughdad S, Duran R. Tumor response assessment on imaging following immunotherapy. Front Oncol 2022; 12:982983. [PMID: 36387133 PMCID: PMC9641095 DOI: 10.3389/fonc.2022.982983] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
In recent years, various systemic immunotherapies have been developed for cancer treatment, such as monoclonal antibodies (mABs) directed against immune checkpoints (immune checkpoint inhibitors, ICIs), oncolytic viruses, cytokines, cancer vaccines, and adoptive cell transfer. While being estimated to be eligible in 38.5% of patients with metastatic solid or hematological tumors, ICIs, in particular, demonstrate durable disease control across many oncologic diseases (e.g., in melanoma, lung, bladder, renal, head, and neck cancers) and overall survival benefits. Due to their unique mechanisms of action based on T-cell activation, response to immunotherapies is characterized by different patterns, such as progression prior to treatment response (pseudoprogression), hyperprogression, and dissociated responses following treatment. Because these features are not encountered in the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1), which is the standard for response assessment in oncology, new criteria were defined for immunotherapies. The most important changes in these new morphologic criteria are, firstly, the requirement for confirmatory imaging examinations in case of progression, and secondly, the appearance of new lesions is not necessarily considered a progressive disease. Until today, five morphologic (immune-related response criteria (irRC), immune-related RECIST (irRECIST), immune RECIST (iRECIST), immune-modified RECIST (imRECIST), and intra-tumoral RECIST (itRECIST)) criteria have been developed to accurately assess changes in target lesion sizes, taking into account the specific response patterns after immunotherapy. In addition to morphologic response criteria, 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG-PET/CT) is a promising option for metabolic response assessment and four metabolic criteria are used (PET/CT Criteria for Early Prediction of Response to Immune Checkpoint Inhibitor Therapy (PECRIT), PET Response Evaluation Criteria for Immunotherapy (PERCIMT), immunotherapy-modified PET Response Criteria in Solid Tumors (imPERCIST5), and immune PERCIST (iPERCIST)). Besides, there is evidence that parameters on 18F-FDG-PET/CT, such as the standardized uptake value (SUV)max and several radiotracers, e.g., directed against PD-L1, may be potential imaging biomarkers of response. Moreover, the emerge of human intratumoral immunotherapy (HIT-IT), characterized by the direct injection of immunostimulatory agents into a tumor lesion, has given new importance to imaging assessment. This article reviews the specific imaging patterns of tumor response and progression and available imaging response criteria following immunotherapy.
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Affiliation(s)
- Antonia M. Berz
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
- Department of Radiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Clarisse Dromain
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Naïk Vietti-Violi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Sarah Boughdad
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland
| | - Rafael Duran
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
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8
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Li W, Le NN, Onishi N, Newitt DC, Wilmes LJ, Gibbs JE, Carmona-Bozo J, Liang J, Partridge SC, Price ER, Joe BN, Kornak J, Magbanua MJM, Nanda R, LeStage B, Esserman LJ, I-Spy Imaging Working Group, I-Spy Investigator Network, Van't Veer LJ, Hylton NM. Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy. Cancers (Basel) 2022; 14:4436. [PMID: 36139594 PMCID: PMC9497087 DOI: 10.3390/cancers14184436] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/02/2022] [Accepted: 09/09/2022] [Indexed: 11/22/2022] Open
Abstract
This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment response in patients with locally advanced breast cancer receiving neoadjuvant immunotherapy. A total of 249 patients were randomized to standard neoadjuvant chemotherapy with pembrolizumab (pembro) or without pembrolizumab (control). DCE-MRI and DWI, performed prior to and 3 weeks after the start of treatment, were analyzed. Percent changes of tumor ADC metrics (mean, 5th to 95th percentiles of ADC histogram) and FTV were evaluated for the prediction of pathologic complete response (pCR) using a logistic regression model. The area under the ROC curve (AUC) estimated for the percent change in mean ADC was higher in the pembro cohort (0.73, 95% confidence interval [CI]: 0.52 to 0.93) than in the control cohort (0.63, 95% CI: 0.43 to 0.83). In the control cohort, the percent change of the 95th percentile ADC achieved the highest AUC, 0.69 (95% CI: 0.52 to 0.85). In the pembro cohort, the percent change of the 25th percentile ADC achieved the highest AUC, 0.75 (95% CI: 0.55 to 0.95). AUCs estimated for percent change of FTV were 0.61 (95% CI: 0.39 to 0.83) and 0.66 (95% CI: 0.47 to 0.85) for the pembro and control cohorts, respectively. Tumor ADC may perform better than FTV to predict pCR at an early treatment time-point during neoadjuvant immunotherapy.
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Affiliation(s)
- Wen Li
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Nu N Le
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Natsuko Onishi
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - David C Newitt
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Lisa J Wilmes
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Jessica E Gibbs
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Julia Carmona-Bozo
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Jiachao Liang
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Savannah C Partridge
- Department of Radiology, University of Washington, 1100 Fairview Ave N, Seattle, Washington, DC 98109, USA
| | - Elissa R Price
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Bonnie N Joe
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | - Mark Jesus M Magbanua
- Department of Laboratory Medicine, University of California, 2340 Sutter Street, San Francisco, CA 94115, USA
| | - Rita Nanda
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Barbara LeStage
- I-SPY 2 Advocacy Group, 499 Illinois Street, San Francisco, CA 94158, USA
| | - Laura J Esserman
- Department of Surgery, University of California, 550 16th Street, San Francisco, CA 94158, USA
| | | | - I-Spy Investigator Network
- Department of Radiology, University of Washington, 1100 Fairview Ave N, Seattle, Washington, DC 98109, USA
| | - Laura J Van't Veer
- Department of Laboratory Medicine, University of California, 2340 Sutter Street, San Francisco, CA 94115, USA
| | - Nola M Hylton
- Department of Radiology and Biomedical Imaging, University of California, 550 16th Street, San Francisco, CA 94158, USA
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9
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Sachpekidis C, Hassel JC, Dimitrakopoulou-Strauss A. Adverse effects under immune checkpoint inhibitors on [18F]FDG PET/CT imaging. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF... 2022; 66:245-254. [PMID: 35612369 DOI: 10.23736/s1824-4785.22.03453-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Despite their undisputed contribution to the management of various tumors and the prolongation of patient survival, immune checkpoint inhibitors (ICIs) exert their effect at the cost of toxicity. In the context of the activation of the host immune system triggered by ICIs, collateral, inflammatory side effects, commonly addressed as immune-related adverse events (irAEs) often occur. Early detection of irAEs can be critical for adequate decisions on patient management that may subsequently improve patient outcome. Moreover, the emergence of irAEs has been linked with the antitumor effect elicited by ICIs, thus, their identification may potentially provide prognostic information. Although the diagnosis of irAEs is mainly clinical, some adverse events may be asymptomatic and only diagnosed by imaging modalities. At the same time, radiological signs of irAEs are not necessarily associated with clinical symptoms, however, clinicians should be alerted to their presence. Among imaging modalities [18F]FDG PET/CT has shown satisfying efficiency in response assessment and monitoring of ICIs' treatment, especially in patients suffering from metastatic melanoma and lung cancer. In this context, [18F]FDG PET/CT may also be a valuable method for surveillance of irAEs during immunotherapy. This article aims to review the most common adverse events observed on [18F]FDG PET/CT under immunotherapy and summarize potential results linking PET signs of irAEs with response assessment to ICIs.
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Affiliation(s)
- Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany -
| | - Jessica C Hassel
- Department of Dermatology, University Hospital of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), University Hospital of Heidelberg, Heidelberg, Germany
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10
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Ren Y, Pan F, Kan X, Wang J, Han P, Yan J, Li L, Sun P, Liu CY, Bao Q, Yang L, Zheng C. Multimodal Imaging Response after the Singular or Combination Treatments of Vascular Endothelial Growth Factor Inhibitor and Immune Checkpoint Inhibitor. Mol Pharm 2022; 19:3664-3672. [PMID: 35976154 DOI: 10.1021/acs.molpharmaceut.2c00474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
This study aims to dynamically assess tumor changes after variable treatments with vascular endothelial growth factor (VEGF) inhibitor and/or immune checkpoint inhibitor (ICI) using multimodal imaging of MRI and 18F-FDG PET/CT in a hepatocellular carcinoma (HCC) mice model. Based on different treatments, 24 mice were randomly divided into four groups: control (isotype-matched IgG antibody 10 mg/kg), VEGF inhibitor (sorafenib 50 mg/kg), ICI (anti-PD-L1 antibody 10 mg/kg), and combination groups (sorafenib 50 mg/kg + anti-PD-L1 antibody 10 mg/kg). Quantitative imaging assessments, including volume transfer constant (Ktrans), apparent diffusion coefficient (ADC), lactate/choline ratio, and the maximum standardized 18F-FDG uptake value ratio of tumor to muscle (SUVtumor/SUVmuscle ratio), were acquired at different time points (before treatment and 7, 14, and 21 days after treatment). Quantitative data were presented as the mean ± standard errors and two-way repeated-measure ANOVA tests were performed for intergroup and intertime point comparisons. After 21 days from the initiation of therapies, combination group showed the lowest tumor volume and weight, followed by ICI, VEGF inhibitor, and control group, with no significance between the VEGF inhibitor and control groups. In addition, Ktrans values significantly decreased, and the lactate/choline ratio and SUVtumor/SUVmuscle ratio were significantly elevated in the VEGF inhibitor group. ADC significantly increased in the ICI and combination groups, with no significant differences in ADC observed between the control and VEGF inhibitor groups, which showed a similar dynamic change to the tumor volume. Furthermore, Ktrans, lactate/choline ratio, and ADC were significantly correlated with CD31+ area, hypoxyprobe+ area, and apoptosis, respectively. Our results suggest that the singular treatment and combination of the VEGF inhibitor and ICI treatments for HCC present different multimodal imaging changes in accordance with the specific histopathological features. These findings might facilitate the formulation of better treatment response criteria; besides, we find ADC is probably an indicator easily to obtain for treatment response evaluation.
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Affiliation(s)
- Yanqiao Ren
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Feng Pan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Xuefeng Kan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Jiazheng Wang
- Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, China
| | - Ping Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Jingjie Yan
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology, Wuhan 430071, China.,Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Lingli Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Peng Sun
- Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, China
| | - Chao-Yang Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology, Wuhan 430071, China
| | - Qingjia Bao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology, Wuhan 430071, China
| | - Lian Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Hubei Key Laboratory of Molecular Imaging, Wuhan 430022, China
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11
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Subesinghe M, Bhuva S, Arumalla N, Cope A, D’Cruz D, Subesinghe S. 2-deoxy-2[18F]fluoro-D-glucose positron emission tomography-computed tomography in rheumatological diseases. Rheumatology (Oxford) 2022; 61:1769-1782. [PMID: 34463703 PMCID: PMC9071551 DOI: 10.1093/rheumatology/keab675] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 08/18/2021] [Accepted: 08/25/2021] [Indexed: 12/26/2022] Open
Abstract
2-deoxy-2[18F]fluoro-D-glucose (FDG) PET-CT has revolutionized oncological imaging. The cellular processes that make cancer cells visible on FDG PET-CT also occur in a number of inflammatory cells. Exploiting this phenomenon has led to a growth of evidence supporting the use of FDG PET-CT in a wide range of infective and inflammatory diseases. Rheumatological diseases can affect multiple sites within the musculoskeletal system alongside multi-organ extra-articular disease manifestations. Inflammation is central to these diseases, making FDG PET-CT a logical choice. In this review article we describe the various applications of FDG PET-CT in rheumatological diseases using illustrative examples to highlight the beneficial role of FDG PET-CT in each case.
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Affiliation(s)
- Manil Subesinghe
- King’s College London & Guy’s and St. Thomas’ PET Centre, Guy’s and St. Thomas’ NHS Foundation Trust
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London
| | - Shaheel Bhuva
- King’s College London & Guy’s and St. Thomas’ PET Centre, Guy’s and St. Thomas’ NHS Foundation Trust
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London
| | - Nikita Arumalla
- Department of Rheumatology, Guy’s and St. Thomas’ NHS Foundation Trust
| | - Andrew Cope
- Department of Rheumatology, Guy’s and St. Thomas’ NHS Foundation Trust
- Centre for Rheumatic Diseases, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
| | - David D’Cruz
- Department of Rheumatology, Guy’s and St. Thomas’ NHS Foundation Trust
| | - Sujith Subesinghe
- Department of Rheumatology, Guy’s and St. Thomas’ NHS Foundation Trust
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12
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Lau D, Lechermann LM, Gallagher FA. Clinical Translation of Neutrophil Imaging and Its Role in Cancer. Mol Imaging Biol 2022; 24:221-234. [PMID: 34637051 PMCID: PMC8983506 DOI: 10.1007/s11307-021-01649-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 01/22/2023]
Abstract
Neutrophils are the first line of defense against pathogens and abnormal cells. They regulate many biological processes such as infections and inflammation. Increasing evidence demonstrated a role for neutrophils in cancer, where different subpopulations have been found to possess both pro- or anti-tumorigenic functions in the tumor microenvironment. In this review, we discuss the phenotypic and functional diversity of neutrophils in cancer, their prognostic significance, and therapeutic relevance in human and preclinical models. Molecular imaging methods are increasingly used to probe neutrophil biology in vivo, as well as the cellular changes that occur during tumor progression and over the course of treatment. This review will discuss the role of neutrophil imaging in oncology and the lessons that can be drawn from imaging in infectious diseases and inflammatory disorders. The major factors to be considered when developing imaging techniques and biomarkers for neutrophils in cancer are reviewed. Finally, the potential clinical applications and the limitations of each method are discussed, as well as the challenges for future clinical translation.
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Affiliation(s)
- Doreen Lau
- Department of Radiology, University of Cambridge, Cambridge, UK.
- Cancer Research UK Cambridge Centre, Cambridge, UK.
- Department of Oncology, University of Oxford, Oxford, UK.
| | | | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, UK.
- Cancer Research UK Cambridge Centre, Cambridge, UK.
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13
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Noë G, Cardin A, Lasocki A. Part 1: Imaging findings of common immune checkpoint inhibitor-related adverse effects. J Med Imaging Radiat Oncol 2022; 66:495-501. [PMID: 35244329 DOI: 10.1111/1754-9485.13396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/14/2022] [Accepted: 02/14/2022] [Indexed: 12/12/2022]
Abstract
Over the last decade or so, immunotherapy and in particular immune checkpoint inhibitors have become common in the treatment of numerous cancers and have revolutionised oncology. The unique mechanisms of these agents has resulted in novel tumour response patterns and also new drug-related toxicities, both of which can have specific findings on imaging. The widespread and increasing use of these agents means these findings are now encountered across many radiology practices beyond just specialist oncology units. This pictorial essay aims to describe and illustrate imaging findings associated with common and important immune-related adverse events as a result of treatment with immune checkpoint inhibitors.
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Affiliation(s)
- Geertje Noë
- Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony Cardin
- Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Arian Lasocki
- Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Radiology, The University of Melbourne, Melbourne, Victoria, Australia
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14
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Shah H, Wang Y, Cheng SC, Gunasti L, Chen YH, Lako A, Guenette J, Rodig S, Jo VY, Uppaluri R, Haddad R, Schoenfeld JD, Jacene HA. Use of Fluoro-[18F]-Deoxy-2-D-Glucose Positron Emission Tomography/Computed Tomography to Predict Immunotherapy Treatment Response in Patients With Squamous Cell Oral Cavity Cancers. JAMA Otolaryngol Head Neck Surg 2022; 148:268-276. [PMID: 35050348 PMCID: PMC8778607 DOI: 10.1001/jamaoto.2021.4052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
IMPORTANCE Neoadjuvant immunotherapy is a novel approach with the potential to improve outcomes for patients with oral cavity squamous cell cancer (OCSCC). Adverse events of varying severity are reported with immunotherapy, and a biomarker to predict response would be clinically useful to avoid toxic effects in those unlikely to benefit. OBJECTIVE To correlate changes on fluoro-[18F]-deoxy-2-D-glucose positron emission tomography/computed tomography (FDG-PET/CT) scans with primary tumor pathologic response and immunologic biomarkers in patients with OCSCC receiving neoadjuvant immunotherapy. DESIGN, SETTING, AND PARTICIPANTS This was a retrospective analysis of serial FDG-PET/CT scans obtained prospectively as part of a phase 2 open-label randomized clinical trial investigating neoadjuvant immunotherapy in patients with untreated OCSCC between 2016 and 2019. Included were a total of 29 patients from a single academic medical center with untreated OCSCC (≥T2, or clinically node positive) randomized 1:1 to receive neoadjuvant therapy with single agent nivolumab or combination nivolumab and ipilimumab followed by surgery and standard of care adjuvant therapy. INTERVENTIONS The interventions in this study were FDG-PET/CT scans before (T0) and after (T1) preoperative immunotherapy. MAIN OUTCOMES AND MEASURES Data collected from FDG-PET/CT scans included maximum standardized uptake value (SUVmax) of primary OCSCC and cervical lymph nodes (LNs) at T0 and T1 and new LN uptake and uptake consistent with radiologic immune-related adverse events (irAEs) at T1. Primary OCSCC pathologic response reported as percentages of viable vs nonviable tumor. The number of CD8+ cells/mm2 was determined in the primary tumor biopsy specimen and at surgery. RESULTS There was no correlation between pathologic response and change in SUVmax in the primary OCSCC between T0 and T1. Out of 27 total participants, 13 had newly FDG-avid ipsilateral LNs at T1, most negative on pathology. A total of 9 had radiologic irAEs, most commonly sarcoid-like LN (7 of 27). No correlations were found between primary OCSCC SUVmax at T0 and CD8+ T-cell number in the primary tumor biopsy, and no correlations were found between primary OCSCC SUVmax at T1 and CD8+ T-cell number in the primary tumor at surgery. CONCLUSIONS AND RELEVANCE There were no correlations between changes in FDG uptake after neoadjuvant immunotherapy and pathologic primary tumor response. Importantly, newly FDG-avid ipsilateral LNs following neoadjuvant immunotherapy were commonly observed but did not represent progressive disease or indicate pathologically disease positive nodes in most cases. These findings argue against altering surgical plans in this setting and suggest that the role of FDG-PET/CT may be limited as an early imaging biomarker for predicting pathologic response to preoperative immunotherapy for OCSCC. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02919683.
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Affiliation(s)
- Hina Shah
- Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts,Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Yating Wang
- Division of Biostatistics, Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Su-Chun Cheng
- Division of Biostatistics, Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lauren Gunasti
- Department of Radiation Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts,Head and Neck Cancer Treatment Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yu-Hui Chen
- Division of Biostatistics, Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ana Lako
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts,Bristol Myers Squibb
| | - Jeffrey Guenette
- Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts,Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Scott Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Vickie Y. Jo
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Ravindra Uppaluri
- Head and Neck Cancer Treatment Center, Dana-Farber Cancer Institute, Boston, Massachusetts,Department of Surgery, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Robert Haddad
- Head and Neck Cancer Treatment Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jonathan D. Schoenfeld
- Department of Radiation Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts,Head and Neck Cancer Treatment Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Heather A. Jacene
- Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts,Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
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15
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Therapy-induced bone changes in oncology imaging with 18F-sodium fluoride (NaF) PET-CT. Ann Nucl Med 2022; 36:329-339. [PMID: 35218508 DOI: 10.1007/s12149-022-01730-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/13/2022] [Indexed: 11/01/2022]
Abstract
18F-Sodium fluoride (18F-NaF) is a PET tracer that is mostly used in the evaluation of bone metastasis in oncology cases. Recently, 18F-NaF PET/CT is gaining wide popularity owing to its higher sensitivity over the other conventional bone tracer with higher and rapid single-pass extraction, negligible plasma protein binding, rapid blood, and renal clearance. In the era of constant evolution of cancer therapy regimens, considerable bone health impact is seen in the form of avascular necrosis, insufficiency fractures, among others. A significant number of these therapy-induced changes show high bone turnover and thereby 18F-NaF accumulation, mimicking metastatic lesions. This article summarizes and illustrates the pattern and morphological features of 18F-NaF PET/CT findings in these changes in the context of clinical and therapeutic history.
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16
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Management of heterogeneous tumor response patterns to immunotherapy in patients with metastatic melanoma. Melanoma Res 2022; 32:45-54. [PMID: 34725314 DOI: 10.1097/cmr.0000000000000794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Immunotherapy has revolutionized the treatment of metastatic melanoma. Response to therapy can be complex to evaluate, as Response Evaluation Criteria in Solid Tumor (RECIST) does not capture heterogeneous responses. In this retrospective single-institution analysis, we describe the management, clinicopathological characteristics, RECIST and disease course of metastatic melanoma patients with a heterogeneous response to first-line anti-CLTA-4 and/or anti-PD-1 between September 2011 and September 2020. In 196 patients, 37 had a heterogeneous response to immunotherapy (19%). Distinct identified responses included a mixed response (MR) (15%), pseudoprogressive disease (PP) (3%), and a sarcoid-like reaction (2%). Patients with a MR and possibly no response to therapy (MR-NR) had a higher median lactic acid dehydrogenase (LDH) (P = 0.01), were more often male (P = 0.04), had more involved disease sites (P = 0.01), and had brain metastasis more frequently (P = 0.02). MR patients with later response to therapy (MR-R) and PP patients had a longer overall survival of 1.7 [95% confidence interval (CI), 1.1-2.7] and 1.6 years (95% CI, 1.3-2.0) versus MR-NR 1.2 (0.7-1.7) (P < 0.01). In this cohort study, we identified prognostic clinical characteristics that can contribute to clinical decision-making for patients with a MR. Additionally, patients with pseudoprogression had benefited from therapy continuation, suggesting the importance of not halting therapy early in case of suspected PP. The male sex, more involved disease sites, brain metastasis and had a higher median LDH were associated with a poor survival for patients with a MR, suggesting that these clinical variables could be used to predict whether a mixed responder will possibly respond to therapy.
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17
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Zhang HC, Wang LS, Miller E. Hepatobiliary and Pancreatic Adverse Events. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1342:339-355. [PMID: 34972973 DOI: 10.1007/978-3-030-79308-1_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The expanded approval of immune checkpoint inhibitors (ICIs) for the treatment of multiple cancer types has offered patients more opportunities in treatment selection and survival.Hepatotoxicity is a well-recognized immune-related adverse event (irAE) associated with treatment with ICI. It is considered a type of drug-induced liver injury (DILI). Depending on the specific ICI and whether the patient receives single- or dual-drug therapy, the incidence of hepatotoxicity in general could be as high as 30%. As more patients receive treatment with ICI, more cases of hepatotoxicity are expected to occur. Clinicians must exercise close pharmacovigilance to recognize liver-related irAEs early.ICI-mediated hepatobiliary toxicity (or "IMH") generally presents as asymptomatic elevations of alanine transaminase and aspartate transaminase, with or without alkaline phosphatase elevation. Some patients may present with jaundice, fever, or malaise. Rarely, it may cause liver failure and death. The diagnosis of IMH is made after careful exclusion of other causes of acute hepatitis based on medical history, laboratory evaluation, imaging, and liver histological findings. In clinically significant cases of IMH, the management involves discontinuation of ICI followed by close monitoring and the initiation of immunosuppression. Current society guidelines, which are not based on robust evidence, specify treatment recommendations depending on the grade of liver injury, according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. However, our clinical experience suggests possible alternatives, including lower corticosteroid dosing with adjunct therapies. Whereas current guidelines endorse permanent cessation of future ICI treatment in patients diagnosed with grades 3-4 IMH, published clinical experience suggests potential for flexibility when assessing for candidacy of resuming ICI.Because histologic bile duct injury has been observed in cases ascribed to IMH, ICI-mediated cholangiopathic disease probably exists on a spectrum within IMH. Even extrahepatic bile duct involvement has been observed. This phenotype warrants special considerations in treatment and surveillance.ICI-related cholecystitis has been rarely reported in the literature. Management follows current standards of care for typical cases of cholecystitis. No relationship with ICI-mediated cholangiopathic disease has been observed.Assessing for and managing ICI-associated pancreatic injury remain challenging to the clinician. Many cases of asymptomatic serum lipase elevation are detected on routine labs without clinical signs or symptoms of typical acute pancreatitis. However, symptomatic patients should be initially managed like traditional cases of acute pancreatitis requiring hospitalization for evaluation and inpatient management.
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Affiliation(s)
- Hao Chi Zhang
- Department of Gastroenterology, Hepatology and Nutrition, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Lan Sun Wang
- Department of Gastroenterology, Hepatology and Nutrition, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ethan Miller
- Department of Gastroenterology, Hepatology and Nutrition, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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18
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Ak M, Eleneen Y, Ayoub M, Colen RR. Cancer Imaging in Immunotherapy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1342:431-447. [PMID: 34972979 DOI: 10.1007/978-3-030-79308-1_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Immune therapeutics are revolutionizing cancer treatments. In tandem, new and confounding imaging characteristics have appeared that are distinct from those typically seen with conventional cytotoxic therapies. In fact, only 10% of patients on immunotherapy may show tumor shrinkage, typical of positive responses on conventional therapy. Conversely, those on immune therapies may initially demonstrate a delayed response, transient enlargement followed by tumor shrinkage, stable size, or the appearance of new lesions. Response Evaluation Criteria in Solid Tumors (RECIST) or WHO criteria, developed to identify early effects of cytotoxic agents, may not provide a complete evaluation of new emerging treatment response pattern of immunotherapeutic agents. Therefore, new imaging response criteria, such as the immune-related Response Evaluation Criteria in Solid Tumors (irRECIST), immune Response Evaluation Criteria in Solid Tumors (iRECIST), and immune-related Response Criteria (irRC), are proposed. However, FDA approval of emerging therapies including immunotherapies still relies on the current RECIST criteria. In this chapter, we review the traditional and new imaging response criteria for evaluation of solid tumors and briefly touch on some of the more commonly associated immunotherapy-induced adverse events.
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Affiliation(s)
- Murat Ak
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Yousra Eleneen
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Mira Ayoub
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rivka R Colen
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. .,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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19
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Cassinelli Petersen G, Bousabarah K, Verma T, von Reppert M, Jekel L, Gordem A, Jang B, Merkaj S, Abi Fadel S, Owens R, Omuro A, Chiang V, Ikuta I, Lin M, Aboian MS. Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery. Neurooncol Adv 2022; 4:vdac116. [PMID: 36043121 PMCID: PMC9412827 DOI: 10.1093/noajnl/vdac116] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Treatment of brain metastases can be tailored to individual lesions with treatments such as stereotactic radiosurgery. Accurate surveillance of lesions is a prerequisite but challenging in patients with multiple lesions and prior imaging studies, in a process that is laborious and time consuming. We aimed to longitudinally track several lesions using a PACS-integrated lesion tracking tool (LTT) to evaluate the efficiency of a PACS-integrated lesion tracking workflow, and characterize the prevalence of heterogenous response (HeR) to treatment after Gamma Knife (GK).
Methods
We selected a group of brain metastases patients treated with GK at our institution. We used a PACS-integrated LTT to track the treatment response of each lesion after first GK intervention to maximally seven diagnostic follow-up scans. We evaluated the efficiency of this tool by comparing the number of clicks necessary to complete this task with and without the tool and examined the prevalence of HeR in treatment.
Results
A cohort of eighty patients was selected and 494 lesions were measured and tracked longitudinally for a mean follow-up time of 374 days after first GK. Use of LTT significantly decreased number of necessary clicks. 81.7% of patients had HeR to treatment at the end of follow-up. The prevalence increased with increasing number of lesions.
Conclusions
Lesions in a single patient often differ in their response to treatment, highlighting the importance of individual lesion size assessments for further treatment planning. PACS-integrated lesion tracking enables efficient lesion surveillance workflow and specific and objective result reports to treating clinicians.
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Affiliation(s)
- Gabriel Cassinelli Petersen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- University of Göttingen Medical Faculty , Göttingen , Germany
| | | | - Tej Verma
- New York University , New York City, New York , USA
| | - Marc von Reppert
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Leon Jekel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Ayyuce Gordem
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Benjamin Jang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Sara Merkaj
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Sandra Abi Fadel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Randy Owens
- Visage Imaging Inc. , San Diego, California , USA
| | - Antonio Omuro
- Department of Neurology, Yale School of Medicine , New Haven, Connecticut , USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine , New Haven, Connecticut , USA
| | - Ichiro Ikuta
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Yale Program for Innovation in Imaging Informatics, Yale School of Medicine , New Haven, Connecticut , USA (M.S.A., I.I.)
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Visage Imaging Inc. , San Diego, California , USA
| | - Mariam S Aboian
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Yale Program for Innovation in Imaging Informatics, Yale School of Medicine , New Haven, Connecticut , USA
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20
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Ahuja J, Shroff GS, Strange CD, Vlahos I, Benveniste MFK, Truong MT. Pearls and Pitfalls in the Imaging of Targeted Therapy and Immunotherapy in Lung Cancer. Semin Ultrasound CT MR 2021; 42:552-562. [PMID: 34895611 DOI: 10.1053/j.sult.2021.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Most lung cancers are diagnosed at advanced stage when the cancer has metastasized outside the lung. These patients are not eligible for curative surgery or radiation therapy and treated with systemic therapy. Advances in the understanding of the biology of lung cancer has resulted in the development of targeted therapy aimed at specific genetic mutations identified with non-small cell lung cancer and immunotherapy that helps the immune system recognize tumors as foreign, stimulates the immune system, and removes the inhibition that allows growth and spread of cancer cells. Tumors treated with targeted or immunotherapies respond differently when compared with traditional chemotherapy and not captured by conventional response criteria such as the World Health Organization criteria and Response Evaluation Criteria in Solid Tumors. Therefore, several modified criteria have been developed to appropriately address the treatment response when using these novel agents. Numerous treatment-related side effects have been described that are important to recognize to avoid misinterpretation as worsening tumor and to ensure appropriate management.
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Affiliation(s)
- Jitesh Ahuja
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX.
| | - Girish S Shroff
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Chad D Strange
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Ioannis Vlahos
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Marcelo F K Benveniste
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Mylene T Truong
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston TX
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21
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Hagiwara A, Oughourlian TC, Cho NS, Schlossman J, Wang C, Yao J, Raymond C, Everson R, Patel K, Mareninov S, Rodriguez FJ, Salamon N, Pope WB, Nghiemphu PL, Liau LM, Prins RM, Cloughesy TF, Ellingson BM. Diffusion MRI is an early biomarker of overall survival benefit in IDH wild-type recurrent glioblastoma treated with immune checkpoint inhibitors. Neuro Oncol 2021; 24:1020-1028. [PMID: 34865129 DOI: 10.1093/neuonc/noab276] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Diffusion MRI estimates of the apparent diffusion coefficient (ADC) have been shown to be useful in predicting treatment response in patients with glioblastoma (GBM), with ADC elevations indicating tumor cell death. We aimed to investigate whether the ADC values measured before and after treatment with immune checkpoint inhibitors (ICIs) and the changes in these ADC values could predict overall survival (OS) in patients with recurrent IDH wild-type GBM. METHODS Forty-four patients who met the following inclusion criteria were included in this retrospective study: (i) diagnosed with recurrent IDH wild-type GBM and treated with either pembrolizumab or nivolumab and (ii) availability of diffusion data on pre- and post-ICI MRI. Tumor volume and the median relative ADC (rADC) with respect to the normal-appearing white matter within the enhancing tumor were calculated. RESULTS Median OS among all patients was 8.1 months (range, 1.0-22.5 months). Log-rank test revealed that higher post-treatment rADC was associated with a significantly longer OS (median, 10.3 months for rADC ≧ 1.63 versus 6.1 months for rADC < 1.63; P = 0.02), whereas tumor volume, pre-treatment rADC, and changes in rADC after treatment were not significantly associated with OS. Cox regression analysis revealed that post-treatment rADC significantly influenced OS (P = 0.02, univariate analysis), even after controlling for age and sex (P =0.01, multivariate analysis), and additionally controlling for surgery after ICI treatment (P = 0.045, multivariate analysis). CONCLUSIONS Elevated post-treatment rADC may be an early imaging biomarker for OS benefits in GBM patients receiving ICI treatment.
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Affiliation(s)
- Akifumi Hagiwara
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Talia C Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.,Neuroscience Interdepartmental PhD Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Nicholas S Cho
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA.,Medical Scientist Training Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jacob Schlossman
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jingwen Yao
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Richard Everson
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kunal Patel
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sergey Mareninov
- Department of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Fausto J Rodriguez
- Department of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Phioanh L Nghiemphu
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Linda M Liau
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Robert M Prins
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA.,UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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22
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Mulder EEAP, Stahlie EHA, Verver D, Lemstra C, Been LB, Mooyaart AL, Brabander T, Vegt E, Verburg FA, van der Veldt AAM, Verhoef C, van Akkooi ACJ, Grünhagen DJ. False positive FDG uptake in melanoma patients treated with talimogene laherparepvec (T-VEC). J Surg Oncol 2021; 124:1161-1165. [PMID: 34235758 PMCID: PMC8596632 DOI: 10.1002/jso.26607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 06/18/2021] [Accepted: 07/01/2021] [Indexed: 11/08/2022]
Abstract
Talimogene laherparepvec (T-VEC) is a genetically modified herpes simplex virus-1-based oncolytic immunotherapy and has been approved for the local treatment of unresectable (stage IIIB/C and IVM1a) cutaneous melanoma. During T-VEC treatment, tumor response is often evaluated using [18F]2-fluoro-2-deoxy- d-glucose(FDG) positron emission tomography/computed tomography (PET/CT). In a Dutch cohort (n = 173), almost one-third of patients developed new-onset FDG uptake in uninjected locoregional lymph nodes during T-VEC. In 36 out of 53 (68%) patients with new nodal FDG uptake, nuclear medicine physicians classified this FDG uptake as "suspected metastases" without clinical or pathological confirmation in the majority of patients. These false positive results indicate that new-onset FDG uptake in locoregional lymph nodes during T-VEC treatment does not necessarily reflect progressive disease, but may be associated with immune infiltration. In current clinical practice, physicians should be aware of the high false positive rate of FDG uptake during treatment with T-VEC in patients with melanoma. Therefore, pathological examination of lymph node lesions with new FDG uptake is recommended to differentiate between progressive disease and immune infiltration after treatment with T-VEC.
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Affiliation(s)
- Evalyn E. A. P. Mulder
- Department of Surgical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
- Department of Medical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Emma H. A. Stahlie
- Department of Surgical OncologyNetherlands Cancer Institute – Antoni van LeeuwenhoekAmsterdamThe Netherlands
| | - Daniëlle Verver
- Department of Surgical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Clara Lemstra
- Department of Surgical OncologyUniversity Medical Center GroningenGroningenThe Netherlands
| | - Lukas B. Been
- Department of Surgical OncologyUniversity Medical Center GroningenGroningenThe Netherlands
| | | | - Tessa Brabander
- Department of Radiology & Nuclear MedicineErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Erik Vegt
- Department of Radiology & Nuclear MedicineErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Frederik A. Verburg
- Department of Radiology & Nuclear MedicineErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Astrid A. M. van der Veldt
- Department of Medical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
- Department of Radiology & Nuclear MedicineErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Cornelis Verhoef
- Department of Surgical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Alexander C. J. van Akkooi
- Department of Surgical OncologyNetherlands Cancer Institute – Antoni van LeeuwenhoekAmsterdamThe Netherlands
| | - Dirk J. Grünhagen
- Department of Surgical OncologyErasmus MC Cancer InstituteRotterdamThe Netherlands
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23
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Lang JA, Bhalla S, Ganeshan D, Felder GJ, Itani M. Side Effects of Oncologic Treatment in the Chest: Manifestations at FDG PET/CT. Radiographics 2021; 41:2071-2089. [PMID: 34723703 DOI: 10.1148/rg.2021210130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Fluorodeoxyglucose (FDG) PET/CT is a vital imaging technique used for staging, assessing treatment response, and restaging following completion of therapy in patients who are undergoing or have completed oncologic treatment. A variety of adverse effects from chemotherapy, targeted therapy, immunotherapy, and radiation therapy are commonly encountered in oncologic patients. It is important to be aware of the manifestations of these adverse effects seen on FDG PET/CT images to avoid misinterpreting these findings as disease progression. Furthermore, early identification of these complications is important, as it may significantly affect patient management and even lead to a change in treatment strategy. The authors focus on the FDG PET/CT manifestations of a broad spectrum of oncologic therapy-related adverse effects in the thorax, as well as some treatment-related changes that may potentially mimic malignancy. Online supplemental material is available for this article. ©RSNA, 2021.
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Affiliation(s)
- Jordan A Lang
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box #8131, St Louis, MO 63110 (J.A.L., S.B., M.I.); Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (D.G.); and Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.)
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box #8131, St Louis, MO 63110 (J.A.L., S.B., M.I.); Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (D.G.); and Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.)
| | - Dhakshinamoorthy Ganeshan
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box #8131, St Louis, MO 63110 (J.A.L., S.B., M.I.); Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (D.G.); and Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.)
| | - Gabriel J Felder
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box #8131, St Louis, MO 63110 (J.A.L., S.B., M.I.); Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (D.G.); and Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.)
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box #8131, St Louis, MO 63110 (J.A.L., S.B., M.I.); Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (D.G.); and Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.)
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24
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Bizzo BC, Almeida RR, Alkasab TK. Artificial Intelligence Enabling Radiology Reporting. Radiol Clin North Am 2021; 59:1045-1052. [PMID: 34689872 DOI: 10.1016/j.rcl.2021.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The radiology reporting process is beginning to incorporate structured, semantically labeled data. Tools based on artificial intelligence technologies using a structured reporting context can assist with internal report consistency and longitudinal tracking. To-do lists of relevant issues could be assembled by artificial intelligence tools, incorporating components of the patient's history. Radiologists will review and select artificial intelligence-generated and other data to be transmitted to the electronic health record and generate feedback for ongoing improvement of artificial intelligence tools. These technologies should make reports more valuable by making reports more accessible and better able to integrate into care pathways.
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Affiliation(s)
- Bernardo C Bizzo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Founders 210, Boston, MA 02114, USA
| | - Renata R Almeida
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115, USA
| | - Tarik K Alkasab
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Founders 210, Boston, MA 02114, USA.
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25
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Imaging of Cancer Immunotherapy: Response Assessment Methods, Atypical Response Patterns, and Immune-Related Adverse Events, From the AJR Special Series on Imaging of Inflammation. AJR Am J Roentgenol 2021; 218:940-952. [PMID: 34612682 DOI: 10.2214/ajr.21.26538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The introduction of immunotherapy with immune-checkpoint inhibitors (ICIs) has revolutionized cancer treatment paradigms. Since the FDA approval of the first ICI in 2011, multiple additional ICIs have been approved and granted marketing authorization, and many promising agents are in early clinical adoption. Due to the distinctive biologic mechanisms of ICIs, the patterns of tumor response and progression differ for immunotherapy from those observed with cytotoxic chemotherapies. With increasing clinical adoption of immunotherapy, it is critical for radiologists to recognize different response patterns and common pitfalls to avoid misinterpretation of imaging studies or prompt premature cessation of potentially effective treatment. This article provides an overview of ICIs and their mechanisms of action and reviews the anatomic and metabolic immune-related response assessment methods, typical and atypical patterns of immunotherapy response (including pseudoprogression, hyper-progression, dissociated response, and durable response), and common imaging features of immune-related adverse events. Future multicenter trials are needed to validate the proposed immune-related response criteria and identify the functional imaging markers of early treatment response and survival.
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26
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Iyalomhe O, Farwell MD. Immune PET Imaging. Radiol Clin North Am 2021; 59:875-886. [PMID: 34392924 PMCID: PMC8371717 DOI: 10.1016/j.rcl.2021.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Fluorodeoxyglucose (FDG) PET/CT is sensitive to metabolic, immune-related, and structural changes that can occur in tumors in cancer immunotherapy. Unique mechanisms of immune checkpoint inhibitors (ICIs) occasionally make response evaluation challenging, because tumors and inflammatory changes are both FDG avid. These response patterns and sequelae of ICI immunotherapy, such as immune-related adverse events, are discussed. Immune-specific PET imaging probes at preclinical stage or in early clinical trials, which may help guide clinical management of cancer patients treated with immunotherapy and likely have applications outside of oncology for other diseases in which the immune system plays a role, are reviewed.
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Affiliation(s)
- Osigbemhe Iyalomhe
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael D. Farwell
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
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Abstract
Hematologic malignancies are a broad category of cancers arising from the lymphoid and myeloid cell lines. The 2016 World Health Organization classification system incorporated molecular markers as part of the diagnostic criteria and includes more than 100 subtypes. This article focuses on the subtypes for which imaging with positron emission tomography/computed tomography (PET/CT) has become an integral component of the patient's evaluation, that is, lymphoma and multiple myeloma. Leukemia and histiocytic and dendritic cell neoplasms are also discussed as these indications for PET/CT are less common, but increasingly seen in clinic.
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Zukotynski KA, Hasan OK, Lubanovic M, Gerbaudo VH. Update on Molecular Imaging and Precision Medicine in Lung Cancer. Radiol Clin North Am 2021; 59:693-703. [PMID: 34392913 DOI: 10.1016/j.rcl.2021.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Precision medicine integrates molecular pathobiology, genetic make-up, and clinical manifestations of disease in order to classify patients into subgroups for the purposes of predicting treatment response and suggesting outcome. By identifying those patients who are most likely to benefit from a given therapy, interventions can be tailored to avoid the expense and toxicity of futile treatment. Ultimately, the goal is to offer the right treatment, to the right patient, at the right time. Lung cancer is a heterogeneous disease both functionally and morphologically. Further, over time, clonal proliferations of cells may evolve, becoming resistant to specific therapies. PET is a sensitive imaging technique with an important role in the precision medicine algorithm of lung cancer patients. It provides anatomo-functional insight during diagnosis, staging, and restaging of the disease. It is a prognostic biomarker in lung cancer patients that characterizes tumoral heterogeneity, helps predict early response to therapy, and may direct the selection of appropriate treatment.
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Affiliation(s)
- Katherine A Zukotynski
- Department of Medicine, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada; Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Olfat Kamel Hasan
- Department of Medicine, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada; Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Matthew Lubanovic
- Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Victor H Gerbaudo
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02492, USA.
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Shroff GS, Strange CD, Altan M, Carter BW, Ahuja J, Godoy MCB, Truong MT, Vlahos I. Post-immunotherapy imaging in lung cancer. Clin Radiol 2021; 77:44-57. [PMID: 34103147 DOI: 10.1016/j.crad.2021.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/12/2021] [Indexed: 12/22/2022]
Abstract
By boosting the immune system, immunotherapy with immune checkpoint inhibitors (ICIs) has altered the management of patients with various cancers including those with metastatic non-small cell lung cancer (NSCLC). As a result of immune system activation, ICIs are associated with unique response patterns (that are not addressed by traditional response criteria) and inflammatory side effects termed immune-related adverse events. In this article, we will review the role of immunotherapy in cancer treatment, specifically ICIs used in NSCLC treatment, radiological response criteria of immunotherapy, and the imaging spectrum of immune-related adverse events.
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Affiliation(s)
- G S Shroff
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA.
| | - C D Strange
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
| | - M Altan
- The University of Texas MD Anderson Cancer Center, Thoracic/Head and Neck Medical Oncology, 1515 Holcombe Blvd. Unit 0432, Houston, TX 77030, USA
| | - B W Carter
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
| | - J Ahuja
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
| | - M C B Godoy
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
| | - M T Truong
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
| | - I Vlahos
- The University of Texas MD Anderson Cancer Center, Thoracic Imaging, 1515 Holcombe Blvd. Unit 1478, Houston, TX 77030, USA
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Challenges and advances for the treatment of renal cancer patients with brain metastases: From immunological background to upcoming clinical evidence on immune-checkpoint inhibitors. Crit Rev Oncol Hematol 2021; 163:103390. [PMID: 34090998 DOI: 10.1016/j.critrevonc.2021.103390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/27/2021] [Accepted: 05/25/2021] [Indexed: 01/12/2023] Open
Abstract
The introduction of checkpoint inhibitors (ICIs) in renal cell carcinoma (RCC) treatment landscape, resulted in improvements in overall survival (OS) in metastatic patients. Brain metastases (BMs) are a specific metastatic site of interest representing a predictive factor of poor prognosis. Patients with BMs were usually excluded from prospective clinical trials in the past. Despite recent evidence suggest the efficacy and safety of ICIs, the BMs treatment remains a challenge; the immunotherapy responsiveness seems to be multifactorial and dependent on several factors, such as the genetic intratumor heterogeneity and the immunosuppressive role of the brain tumor microenvironment. This review, starting from the immunological background in RCC BMs, provide an overview of the upcoming evidence from clinical trials, address the issues related to the neuroradiological immunotherapy response evaluation and, with a look to the future, describes how the epigenetic modulation of immune evasion could represent a background for new therapeutic strategies.
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Pisuchpen N, Durbin SM, Mooradian MJ, Fintelmann FJ, Reynolds KL, Dougan M, Kambadakone A. Multi-detector computed tomography (MDCT)-based severity score as a prognostic tool in patients with suspected immune checkpoint inhibitor therapy associated colitis. Eur Radiol 2021; 31:8868-8878. [PMID: 34081152 DOI: 10.1007/s00330-021-07925-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/15/2021] [Accepted: 03/23/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This study aimed to assess MDCT as a diagnostic and prognostic tool in patients with suspected immune checkpoint inhibitor (ICI)-related colitis. MATERIALS AND METHODS This retrospective cohort study included patients receiving ICIs at three hospitals between 2015 and 2019 who underwent both abdominopelvic MDCT and endoscopic biopsy to workup suspected ICI-related colitis. Two radiologists independently reviewed MDCT images for signs of colitis based on pre-defined features. Diagnostic performance of MDCT was calculated and categorical variables between treatment subgroups were compared. Logistic regression was used to develop proposed MDCT criteria for diagnosis and MDCT severity score based on a combination of MDCT features of colitis to predict the patient outcomes in ICI-related colitis. RESULTS A total of 118 MDCT scans from 108 patients were evaluated for suspected colitis, with 72 confirmed ICI-related colitis cases. Sensitivity, specificity, PPV, and NPV of MDCT for diagnosis of ICI-related colitis was 81% (58/72), 52 % (24/46), 73% (58/80), and 63% (24/38), respectively. Small bowel involvement was visualized in 25% of cases with ICI-related colitis (18/72). In melanoma patients presenting with diarrhea grade ≥ 2 (n = 40), MDCT had the best diagnostic performance for ICI-related colitis (specificity = 80% [8/10], PPV = 92% [23/25]). MDCT severity scores predicted intravenous steroid use (OR 10.3, p = 0.004), length of stay > 7 days (OR 9.0, p < 0.001), and endoscopic mucosal ulceration (OR 4.7, p = 0.02). CONCLUSION MDCT is a useful diagnostic and prognostic tool for evaluating patients with immune checkpoint inhibitor-related colitis. An MDCT-based severity score enables assessment of disease severity and predicts outcome. KEY POINTS • MDCT is useful for the diagnosis of colitis in patients receiving immune checkpoint inhibitor (ICI) therapy, and an MDCT-based severity score allows for prognostication of patient outcomes. • MDCT yielded moderate sensitivity (81%) for diagnosis of ICI-related colitis but limited specificity (52%). However, in symptomatic melanoma patients (grade 2-4 diarrhea) with a high pretest probability, MDCT proved useful for diagnosis with a high PPV (92%). • For ICI-related colitis, our proposed MDCT severity score has prognostic value in predicting intravenous steroid use, prolonged length of stay during inpatient admission (> 7 days), and endoscopic mucosal ulceration.
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Affiliation(s)
- Nisanard Pisuchpen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.,Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sienna M Durbin
- Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Meghan J Mooradian
- Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Florian J Fintelmann
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Kerry L Reynolds
- Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Michael Dougan
- Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
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Ippolito D, Maino C, Ragusi M, Porta M, Gandola D, Franzesi CT, Giandola TP, Sironi S. Immune response evaluation criteria in solid tumors for assessment of atypical responses after immunotherapy. World J Clin Oncol 2021; 12:323-334. [PMID: 34131564 PMCID: PMC8173324 DOI: 10.5306/wjco.v12.i5.323] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 03/23/2021] [Accepted: 04/23/2021] [Indexed: 02/06/2023] Open
Abstract
In 2017, immune response evaluation criteria in solid tumors (iRECIST) were introduced to validate radiologic and clinical interpretations and to better analyze tumor’s response to immunotherapy, considering the different time of following and response, between this new therapy compared to the standard one. However, even if the iRECIST are worldwide accepted, to date, different aspects should be better underlined and well reported, especially in clinical practice. Clinical experience has demonstrated that in a non-negligible percentage of patients, it is challenging to determine the correct category of response (stable disease, progression disease, partial or complete response), and consequently, to define which is the best management for those patients. Approaching radiological response in patients who underwent immunotherapy, a new uncommon kind of target lesions behavior was found. This phenomenon is mainly due to the different mechanisms of action of immunotherapeutic drug. Therefore, new groups of response have been described in clinical practice, defined as “atypical responses,” and categorized into three new groups: pseudoprogression, hyperprogression, and dissociated response. This review summarizes and reports these patterns, helping clinicians and radiologists get used to atypical responses, in order to identify patients that respond best to treatment.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Maria Ragusi
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Marco Porta
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Davide Gandola
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Cammillo Talei Franzesi
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Teresa Paola Giandola
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Sandro Sironi
- Diagnostic Radiology, University of Milano-Bicocca, Bergamo 24127, Italy
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Danylesko I, Shouval R, Shem-Tov N, Yerushalmi R, Jacoby E, Besser MJ, Shimoni A, Davidson T, Beider K, Mevorach D, Fried S, Nagler A, Avigdor A. Immune imitation of tumor progression after anti-CD19 chimeric antigen receptor T cells treatment in aggressive B-cell lymphoma. Bone Marrow Transplant 2021; 56:1134-1143. [PMID: 33268830 PMCID: PMC8113054 DOI: 10.1038/s41409-020-01156-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 10/24/2020] [Accepted: 11/13/2020] [Indexed: 12/31/2022]
Abstract
We present three patients with aggressive non-Hodgkin's B-cell lymphoma (NHL) who received anti-CD19 chimeric antigen receptor T (CAR T) cells therapy after failure of several lines of chemotherapy that developed pseudo-progression. One-week clinical and radiological findings were consistent with tumor progression. Positron emission tomography-computed tomography (PET-CT) at 1 month post CAR T cells administration was consistent with treatment response. The rapid tumor growth and subsequent resolution are suggestive of tumor pseudo-progression mediated secondary to infiltration and immune activation of CAR T cells. Overall, 56 adult patients with NHL were enrolled in a phase 1b/2 in house clinical study with CD19 CAR T cells. Out of them 22/56 patients progressed as per PET-CT the 1 month post CAR T cells. In 14 patients, signs of progression started 7-10 days after CAR T cells infusion. In 11/14 patients, it was true progression, while in 3 it was pseudo-progression. Additional studies are warranted to describe the extent of this phenomenon and evaluate correlation with the CAR T activity and long-term disease control.
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Affiliation(s)
- Ivetta Danylesko
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel.
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Roni Shouval
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Noga Shem-Tov
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ronit Yerushalmi
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Elad Jacoby
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Division of Pediatric Hematology and Oncology, The Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Michal J Besser
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Ella Lemelbaum Institute of Immuno-Oncology, Sheba Medical Center, Ramat Gan, Israel
| | - Avichai Shimoni
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tima Davidson
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Nuclear Medicine, Sheba Medical Center, Ramat Gan, Israel
| | - Katia Beider
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Dror Mevorach
- Department of Medicine, Rheumatology Research Center, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shalev Fried
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Arnon Nagler
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Abraham Avigdor
- Division of Hematology and Bone Marrow Transplantation, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Saida Y, Brender JR, Yamamoto K, Mitchell JB, Krishna MC, Kishimoto S. Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade. Cancer Res 2021; 81:3693-3705. [PMID: 33837042 DOI: 10.1158/0008-5472.can-20-3182] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 02/17/2021] [Accepted: 04/08/2021] [Indexed: 01/02/2023]
Abstract
Immune checkpoint blockade (ICB) has become a standard therapy for several cancers, however, the response to ICB is inconsistent and a method for noninvasive assessment has not been established to date. To investigate the capability of multimodal imaging to evaluate treatment response to ICB therapy, hyperpolarized 13C MRI using [1-13C] pyruvate and [1,4-13C2] fumarate and dynamic contrast enhanced (DCE) MRI was evaluated to detect early changes in tumor glycolysis, necrosis, and intratumor perfusion/permeability, respectively. Mouse tumor models served as platforms for high (MC38 colon adenocarcinoma) and low (B16-F10 melanoma) sensitivity to dual ICB of PD-L1 and CTLA4. Glycolytic flux significantly decreased following treatment only in the less sensitive B16-F10 tumors. Imaging [1,4-13C2] fumarate conversion to [1,4-13C2] malate showed a significant increase in necrotic cell death following treatment in the ICB-sensitive MC38 tumors, with essentially no change in B16-F10 tumors. DCE-MRI showed significantly increased perfusion/permeability in MC38-treated tumors, whereas a similar, but statistically nonsignificant, trend was observed in B16-F10 tumors. When tumor volume was also taken into consideration, each imaging biomarker was linearly correlated with future survival in both models. These results suggest that hyperpolarized 13C MRI and DCE MRI may serve as useful noninvasive imaging markers to detect early response to ICB therapy. SIGNIFICANCE: Hyperpolarized 13C MRI and dynamic contrast enhanced MRI in murine tumor models provide useful insight into evaluating early response to immune checkpoint blockade therapy.See related commentary by Cullen and Keshari, p. 3444.
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Affiliation(s)
- Yu Saida
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jeffrey R Brender
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Kazutoshi Yamamoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - James B Mitchell
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Murali C Krishna
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Shun Kishimoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.
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MR cell size imaging with temporal diffusion spectroscopy. Magn Reson Imaging 2021; 77:109-123. [PMID: 33338562 PMCID: PMC7878439 DOI: 10.1016/j.mri.2020.12.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/10/2020] [Accepted: 12/13/2020] [Indexed: 02/07/2023]
Abstract
Cytological features such as cell size and intracellular morphology provide fundamental information on cell status and hence may provide specific information on changes that arise within biological tissues. Such information is usually obtained by invasive biopsy in current clinical practice, which suffers several well-known disadvantages. Recently, novel MRI methods such as IMPULSED (imaging microstructural parameters using limited spectrally edited diffusion) have been developed for direct measurements of mean cell size non-invasively. The IMPULSED protocol is based on using temporal diffusion spectroscopy (TDS) to combine measurements of water diffusion over a wide range of diffusion times to probe cellular microstructure over varying length scales. IMPULSED has been shown to provide rapid, robust, and reliable mapping of mean cell size and is suitable for clinical imaging. More recently, cell size distributions have also been derived by appropriate analyses of data acquired with IMPULSED or similar sequences, which thus provides MRI-cytometry. This review summarizes the basic principles, practical implementations, validations, and example applications of MR cell size imaging based on TDS and demonstrates how cytometric information can be used in various applications. In addition, the limitations and potential future directions of MR cytometry are identified including the diagnosis of nonalcoholic steatohepatitis of the liver and the assessment of treatment response of cancers.
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36
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Ferrari C, Maggialetti N, Masi T, Nappi AG, Santo G, Niccoli Asabella A, Rubini G. Early Evaluation of Immunotherapy Response in Lymphoma Patients by 18F-FDG PET/CT: A Literature Overview. J Pers Med 2021; 11:217. [PMID: 33803667 PMCID: PMC8002936 DOI: 10.3390/jpm11030217] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023] Open
Abstract
Immunotherapy is a promising therapeutic strategy both for solid and hematologic tumors, such as in Hodgkin (HL) and non-Hodgkin lymphoma (NHL). In particular, immune-checkpoint inhibitors, such as nivolumab and pembrolizumab, are increasingly used for the treatment of refractory/relapsed HL. At the same time, evidence of chimeric antigen receptor (CAR)-T-cell immunotherapy efficacy mostly in NHL is growing. In this setting, the challenge is to identify an appropriate imaging method to evaluate immunotherapy response. The role of 18F-Fluorodeoxyglucose (18F-FDG) positron-emission tomography/computed tomography (PET/CT), especially in early evaluation, is under investigation in order to guide therapeutic strategies, taking into account the possible atypical responses (hyperprogression and pseudoprogression) and immune-related adverse events that could appear on PET images. Herein, we aimed to present a critical overview about the role of 18F-FDG PET/CT in evaluating treatment response to immunotherapy in lymphoma patients.
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Affiliation(s)
- Cristina Ferrari
- Section of Nuclear Medicine, DIM, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy; (T.M.); (A.G.N.); (G.S.); (G.R.)
| | - Nicola Maggialetti
- Section of Radiodiagnostic, DSMBNOS, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy;
| | - Tamara Masi
- Section of Nuclear Medicine, DIM, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy; (T.M.); (A.G.N.); (G.S.); (G.R.)
| | - Anna Giulia Nappi
- Section of Nuclear Medicine, DIM, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy; (T.M.); (A.G.N.); (G.S.); (G.R.)
| | - Giulia Santo
- Section of Nuclear Medicine, DIM, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy; (T.M.); (A.G.N.); (G.S.); (G.R.)
| | | | - Giuseppe Rubini
- Section of Nuclear Medicine, DIM, University Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy; (T.M.); (A.G.N.); (G.S.); (G.R.)
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Song J, Kadaba P, Kravitz A, Hormigo A, Friedman J, Belani P, Hadjipanayis C, Ellingson BM, Nael K. Multiparametric MRI for early identification of therapeutic response in recurrent glioblastoma treated with immune checkpoint inhibitors. Neuro Oncol 2021; 22:1658-1666. [PMID: 32193547 DOI: 10.1093/neuonc/noaa066] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Physiologic changes quantified by diffusion and perfusion MRI have shown utility in predicting treatment response in glioblastoma (GBM) patients treated with cytotoxic therapies. We aimed to investigate whether quantitative changes in diffusion and perfusion after treatment by immune checkpoint inhibitors (ICIs) would determine 6-month progression-free survival (PFS6) in patients with recurrent GBM. METHODS Inclusion criteria for this retrospective study were: (i) diagnosis of recurrent GBM treated with ICIs and (ii) availability of diffusion and perfusion in pre and post ICI MRI (iii) at ≥6 months follow-up from treatment. After co-registration, mean values of the relative apparent diffusion coefficient (rADC), Ktrans (volume transfer constant), Ve (extravascular extracellular space volume) and Vp (plasma volume), and relative cerebral blood volume (rCBV) were calculated from a volume-of-interest of the enhancing tumor. Final assignment of stable/improved versus progressive disease was determined on 6-month follow-up using modified Response Assessment in Neuro-Oncology criteria. RESULTS Out of 19 patients who met inclusion criteria and follow-up (mean ± SD: 7.8 ± 1.4 mo), 12 were determined to have tumor progression, while 7 had treatment response after 6 months of ICI treatment. Only interval change of rADC was suggestive of treatment response. Patients with treatment response (6/7: 86%) had interval increased rADC, while 11/12 (92%) with tumor progression had decreased rADC (P = 0.001). Interval change in rCBV, Ktrans, Vp, and Ve were not indicative of treatment response within 6 months. CONCLUSIONS In patients with recurrent GBM, interval change in rADC is promising in assessing treatment response versus progression within the first 6 months following ICI treatment. KEY POINTS • In recurrent GBM treated with ICIs, interval change in rADC suggests early treatment response.• Interval change in rADC can be used as an imaging biomarker to determine PFS6.• Interval change in MR perfusion and permeability measures do not suggest ICI treatment response.
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Affiliation(s)
- Joseph Song
- Icahn School of Medicine at Mount Sinai, Department of Radiology (Neuroimaging Advanced and Exploratory Lab), New York, New York
| | - Priyanka Kadaba
- Icahn School of Medicine at Mount Sinai, Department of Radiology (Neuroimaging Advanced and Exploratory Lab), New York, New York
| | - Amanda Kravitz
- Icahn School of Medicine at Mount Sinai, Department of Radiology (Neuroimaging Advanced and Exploratory Lab), New York, New York
| | - Adilia Hormigo
- Department of Neurology, Medicine (Div Hem Onc), The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joshua Friedman
- Department of Neurology, Medicine (Div Hem Onc), The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Puneet Belani
- Icahn School of Medicine at Mount Sinai, Department of Radiology (Neuroimaging Advanced and Exploratory Lab), New York, New York
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Kambiz Nael
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
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González-Gómez R, Pazo-Cid RA, Sarría L, Morcillo MÁ, Schuhmacher AJ. Diagnosis of Pancreatic Ductal Adenocarcinoma by Immuno-Positron Emission Tomography. J Clin Med 2021; 10:1151. [PMID: 33801810 PMCID: PMC8000738 DOI: 10.3390/jcm10061151] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 12/15/2022] Open
Abstract
Diagnosis of pancreatic ductal adenocarcinoma (PDAC) by current imaging techniques is useful and widely used in the clinic but presents several limitations and challenges, especially in small lesions that frequently cause radiological tumors infra-staging, false-positive diagnosis of metastatic tumor recurrence, and common occult micro-metastatic disease. The revolution in cancer multi-"omics" and bioinformatics has uncovered clinically relevant alterations in PDAC that still need to be integrated into patients' clinical management, urging the development of non-invasive imaging techniques against principal biomarkers to assess and incorporate this information into the clinical practice. "Immuno-PET" merges the high target selectivity and specificity of antibodies and engineered fragments toward a given tumor cell surface marker with the high spatial resolution, sensitivity, and quantitative capabilities of positron emission tomography (PET) imaging techniques. In this review, we detail and provide examples of the clinical limitations of current imaging techniques for diagnosing PDAC. Furthermore, we define the different components of immuno-PET and summarize the existing applications of this technique in PDAC. The development of novel immuno-PET methods will make it possible to conduct the non-invasive diagnosis and monitoring of patients over time using in vivo, integrated, quantifiable, 3D, whole body immunohistochemistry working like a "virtual biopsy".
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Affiliation(s)
- Ruth González-Gómez
- Molecular Oncology Group, Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
| | - Roberto A. Pazo-Cid
- Medical Oncology Unit, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain;
| | - Luis Sarría
- Digestive Radiology Unit, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain;
| | - Miguel Ángel Morcillo
- Biomedical Application of Radioisotopes and Pharmacokinetics Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - Alberto J. Schuhmacher
- Molecular Oncology Group, Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
- Fundación Aragonesa para la Investigación y el Desarrollo (ARAID), 50018 Zaragoza, Spain
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39
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Immune Checkpoint Inhibitor-Induced Pancreatic Injury: Imaging Findings and Literature Review. Target Oncol 2021; 15:25-35. [PMID: 31925647 DOI: 10.1007/s11523-019-00694-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The immunotherapy revolution in cancer treatment involves a variety of specialists, not only oncologists, but also internal medicine physicians, endocrinologists, dermatologists, gastroenterologists, rheumatologists, and radiologists, introducing new scenarios and novel challenges in the diagnosis and management of a number of novel immune-related adverse events. Among these, immune checkpoint inhibitor-induced pancreatic injury has been described (occurring in up to 4% of patients) and has been reported to be responsible for visits to the emergency departments in up to 1.9% of patients treated with immune checkpoint inhibitors. This side effect can be symptomatic or non-symptomatic, and can be associated with the development of long-term damage to the pancreas, requiring the involvement of different specialists, including radiologists and gastroenterologists in the multidisciplinary team that manages these patients. The aim of this narrative review is to provide a summary of the available literature related to immune checkpoint inhibitor-induced pancreatic injury including the epidemiology, the clinical findings, and the management algorithm for diagnosis with a detailed analysis of the differential diagnosis at imaging, and treatment. A more in-depth focus is dedicated to symptomatic acute pancreatitis with its peculiar findings at imaging (ultrasound, computed tomography, and magnetic resonance imaging).
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40
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Liu C, Gong J, Yu H, Liu Q, Wang S, Wang J. A CT-Based Radiomics Approach to Predict Nivolumab Response in Advanced Non-Small-Cell Lung Cancer. Front Oncol 2021; 11:544339. [PMID: 33718125 PMCID: PMC7943844 DOI: 10.3389/fonc.2021.544339] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 01/04/2021] [Indexed: 12/26/2022] Open
Abstract
Purpose This study aims to develop a CT-based radiomics model to predict clinical outcomes of advanced non-small-cell lung cancer (NSCLC) patients treated with nivolumab. Methods Forty-six stage IIIB/IV NSCLC patients without EGFR mutation or ALK rearrangement who received nivolumab were enrolled. After segmenting primary tumors depicting on the pre-anti-PD1 treatment CT images, 1,106 radiomics features were computed and extracted to decode the imaging phenotypes of these tumors. A L1-based feature selection method was applied to remove the redundant features and build an optimal feature pool. To predict the risk of progression-free survival (PFS) and overall survival (OS), the selected image features were used to train and test three machine-learning classifiers namely, support vector machine classifier, logistic regression classifier, and Gaussian Naïve Bayes classifier. Finally, the overall patients were stratified into high and low risk subgroups by using prediction scores obtained from three classifiers, and Kaplan–Meier survival analysis was conduct to evaluate the prognostic values of these patients. Results To predict the risk of PFS and OS, the average area under a receiver operating characteristic curve (AUC) value of three classifiers were 0.73 ± 0.07 and 0.61 ± 0.08, respectively; the corresponding average Harrell’s concordance indexes for three classifiers were 0.92 and 0.79. The average hazard ratios (HR) of three models for predicting PFS and OS were 6.22 and 3.54, which suggested the significant difference of the two subgroup’s PFS and OS (p<0.05). Conclusion The pre-treatment CT-based radiomics model provided a promising way to predict clinical outcomes for advanced NSCLC patients treated with nivolumab.
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Affiliation(s)
- Chang Liu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institute of Thoracic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jing Gong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Hui Yu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institute of Thoracic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Quan Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institute of Thoracic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Shengping Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institute of Thoracic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jialei Wang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institute of Thoracic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
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41
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Anderson MA, Kurra V, Bradley W, Kilcoyne A, Mojtahed A, Lee SI. Abdominal immune-related adverse events: detection on ultrasonography, CT, MRI and 18F-Fluorodeoxyglucose positron emission tomography. Br J Radiol 2021; 94:20200663. [PMID: 33112648 DOI: 10.1259/bjr.20200663] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Immune checkpoint inhibitor and chimeric antigen receptor T-cell therapies are associated with a unique spectrum of complications termed immune-related adverse events (irAEs). The abdomen is the most frequent site of severe irAEs that require hospitalization with life-threatening consequences. Most abdominal irAEs such as enterocolitis, hepatitis, cholangiopathy, cholecystitis, pancreatitis, adrenalitis, and sarcoid-like reaction are initially detected on imaging such as ultrasonography (US), CT, MRI and fusion 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)-CT during routine surveillance of cancer therapy. Early recognition and diagnosis of irAEs and immediate management with cessation of immune modulator cancer therapy and institution of immunosuppressive therapy are necessary to avert morbidity and mortality. Diagnosis of irAEs is confirmed by tissue sampling or by follow-up imaging demonstrating resolution. Abdominal radiologists reviewing imaging on patients being treated with anti-cancer immunomodulators should be familiar with the imaging manifestations of irAEs.
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Affiliation(s)
- Mark A Anderson
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Vikram Kurra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - William Bradley
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Amirkasra Mojtahed
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Susanna I Lee
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
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42
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Cappello G, Molea F, Campanella D, Galioto F, Russo F, Regge D. Gastrointestinal adverse events of immunotherapy. BJR Open 2021; 3:20210027. [PMID: 35707753 PMCID: PMC9185848 DOI: 10.1259/bjro.20210027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/31/2021] [Accepted: 10/04/2021] [Indexed: 11/05/2022] Open
Abstract
Cancer immunotherapy with immune-checkpoint inhibitors (ICIs) has emerged as an effective treatment for different types of cancer. ICIs are monoclonal antibodies that inhibit the signaling pathway that suppress antitumor T-cell activity. Patients benefit from increased overall and progression-free survival, but the enhancement of normal immunity can result in autoimmune manifestations, called immune-related adverse events (IRAEs), which may lead to a discontinuation of cancer therapy and to severe also life-threating events. IRAEs may affect any organs or system in the human body, being the gastrointestinal (GI) tract one of the most involved districts. Imaging plays an important role in recognizing GI IRAEs and radiologist should be familiar with the main spectrum of radiological appearance. Indeed, early detection of GI IRAEs is crucial for proper patient management and reduces morbidity and mortality. The purpose of this review is to present the most relevant imaging manifestation of GI IRAEs.
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Affiliation(s)
| | | | | | | | - Filippo Russo
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy
| | - Daniele Regge
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy
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43
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Shroff GS, Shroff S, Ahuja J, Truong MT, Vlahos I. Imaging spectrum of adverse events of immune checkpoint inhibitors. Clin Radiol 2020; 76:262-272. [PMID: 33375984 DOI: 10.1016/j.crad.2020.11.117] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/20/2020] [Indexed: 12/16/2022]
Abstract
Immune checkpoint inhibitors (ICIs), a form of immunotherapy, are increasingly used for a variety of malignancies and have been linked to numerous treatment-related side effects known as immune-related adverse events (irAEs). IrAEs can affect multiple organ systems and are important to recognise in order to avoid misinterpretation as progressive tumour and to ensure appropriate management. In this pictorial review, we will briefly discuss radiological response criteria of immunotherapy and describe the imaging appearances of the wide spectrum of these ICI-associated toxicities.
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Affiliation(s)
- G S Shroff
- MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1478, Houston, TX, 77030, USA.
| | - S Shroff
- Houston Methodist, 6560 Fannin St. Ste 802, Houston, TX, 77030, USA
| | - J Ahuja
- MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1478, Houston, TX, 77030, USA
| | - M T Truong
- MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1478, Houston, TX, 77030, USA
| | - I Vlahos
- MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1478, Houston, TX, 77030, USA
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44
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Costa LB, Queiroz MA, Barbosa FG, Nunes RF, Zaniboni EC, Ruiz MM, Jardim D, Gomes Marin JF, Cerri GG, Buchpiguel CA. Reassessing Patterns of Response to Immunotherapy with PET: From Morphology to Metabolism. Radiographics 2020; 41:120-143. [PMID: 33275541 DOI: 10.1148/rg.2021200093] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cancer demands precise evaluation and accurate and timely assessment of response to treatment. Imaging must be performed early during therapy to allow adjustments to the course of treatment. For decades, cross-sectional imaging provided these answers, showing responses to the treatment through changes in tumor size. However, with the emergence of immune checkpoint inhibitors, complex immune response patterns were revealed that have quickly highlighted the limitations of this approach. Patterns of response beyond tumor size have been recognized and include cystic degeneration, necrosis, hemorrhage, and cavitation. Furthermore, new unique patterns of response have surfaced, like pseudoprogression and hyperprogression, while other patterns were shown to be deceptive, such as unconfirmed progressive disease. This evolution led to new therapeutic evaluation criteria adapted specifically for immunotherapy. Moreover, inflammatory adverse effects of the immune checkpoint blockade were identified, many of which were life threatening and requiring prompt intervention. Given complex concepts like tumor microenvironment and novel therapeutic modalities in the era of personalized medicine, increasingly sophisticated imaging techniques are required to address the intricate patterns of behavior of different neoplasms. Fluorine 18-fluorodeoxyglucose PET/CT has rapidly emerged as one such technique that spans both molecular biology and immunology. This imaging technique is potentially capable of identifying and tracking prognostic biomarkers owing to its combined use of anatomic and metabolic imaging, which enables it to characterize biologic processes in vivo. This tailored approach may provide whole-body quantification of the metabolic burden of disease, providing enhanced prediction of treatment response and improved detection of adverse events. ©RSNA, 2020.
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Affiliation(s)
- Larissa B Costa
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Marcelo A Queiroz
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Felipe G Barbosa
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Rafael F Nunes
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Elaine C Zaniboni
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Mariana Mazo Ruiz
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Denis Jardim
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Jose Flavio Gomes Marin
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Giovanni G Cerri
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Carlos A Buchpiguel
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
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Imaging in Therapy Response Assessment and Surveillance of Lung Cancer: Evidenced-based Review With Focus on the Utility of 18F-FDG PET/CT. Clin Lung Cancer 2020; 21:485-497. [DOI: 10.1016/j.cllc.2020.06.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/18/2020] [Accepted: 06/28/2020] [Indexed: 12/11/2022]
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46
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García-Figueiras R, Baleato-González S, Luna A, Muñoz-Iglesias J, Oleaga L, Vallejo Casas JA, Martín-Noguerol T, Broncano J, Areses MC, Vilanova JC. Assessing Immunotherapy with Functional and Molecular Imaging and Radiomics. Radiographics 2020; 40:1987-2010. [PMID: 33035135 DOI: 10.1148/rg.2020200070] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Immunotherapy is changing the treatment paradigm for cancer and has introduced new challenges in medical imaging. Because not all patients benefit from immunotherapy, pretreatment imaging should be performed to identify not only prognostic factors but also factors that allow prediction of response to immunotherapy. Follow-up studies must allow detection of nonresponders, without confusion of pseudoprogression with real progression to prevent premature discontinuation of treatment that can benefit the patient. Conventional imaging techniques and classic tumor response criteria are limited for the evaluation of the unusual patterns of response that arise from the specific mechanisms of action of immunotherapy, so advanced imaging methods must be developed to overcome these shortcomings. The authors present the fundamentals of the tumor immune microenvironment and immunotherapy and how they influence imaging findings. They also discuss advances in functional and molecular imaging techniques for the assessment of immunotherapy in clinical practice, including their use to characterize immune phenotypes, assess patient prognosis and response to therapy, and evaluate immune-related adverse events. Finally, the development of radiomics and radiogenomics in these therapies and the future role of imaging biomarkers for immunotherapy are discussed. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Roberto García-Figueiras
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Sandra Baleato-González
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Antonio Luna
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - José Muñoz-Iglesias
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Laura Oleaga
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Juan Antonio Vallejo Casas
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Teodoro Martín-Noguerol
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Jordi Broncano
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - María Carmen Areses
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Joan C Vilanova
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
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Beyond tissue biopsy: a diagnostic framework to address tumor heterogeneity in lung cancer. Curr Opin Oncol 2020; 32:68-77. [PMID: 31714259 DOI: 10.1097/cco.0000000000000598] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The objective of this review is to discuss the strength and limitations of tissue and liquid biopsy and functional imaging to capture spatial and temporal tumor heterogeneity either alone or as part of a diagnostic framework in non-small cell lung cancer (NSCLC). RECENT FINDINGS NSCLC displays genetic and phenotypic heterogeneity - a detailed knowledge of which is crucial to personalize treatment. Tissue biopsy often lacks spatial and temporal resolution. Thus, NSCLC needs to be characterized by complementary diagnostic methods to resolve heterogeneity. Liquid biopsy offers detection of tumor biomarkers and for example, the classification and monitoring of EGFR mutations in NSCLC. It allows repeated sampling, and therefore, appears promising to address temporal aspects of tumor heterogeneity. Functional imaging methods and emerging image analytic tools, such as radiomics capture temporal and spatial heterogeneity. Further standardization of radiomics is required to allow introduction into clinical routine. SUMMARY To augment the potential of precision therapy, improved diagnostic characterization of tumors is pivotal. We suggest a comprehensive diagnostic framework combining tissue and liquid biopsy and functional imaging to address the known aspects of spatial and temporal tumor heterogeneity on the example of NSCLC. We envision how this framework might be implemented in clinical practice.
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Li Y, Behr S. Acute Findings on FDG PET/CT: Key Imaging Features and How to Differentiate Them from Malignancy. CURRENT RADIOLOGY REPORTS 2020; 8:22. [PMID: 32953250 PMCID: PMC7486592 DOI: 10.1007/s40134-020-00367-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW To review acute findings commonly encountered during routine clinical FDG PET/CT studies and present key imaging features to differentiate them from malignant counterparts. RECENT FINDINGS FDG PET/CT is extensively used in routine clinical practice for oncology patients. Incidental acute findings in patients undergoing FDG PET/CT are increasingly common, and awareness of these findings and their mimics are important in delivering a clinically relevant and accurate radiological report for directing further management. SUMMARY This article will review examples of common acute findings encountered during routine FDG PET/CT scans, compare them against examples of FDG-avid malignancy that can mimic these findings and emphasize key imaging findings to differentiate acute findings from their malignant mimics.
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Affiliation(s)
- Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 USA
| | - Spencer Behr
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 USA
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Tang W, Hou Q, Lin J, Li D, Lin J, Chen J, Qiu Z, Chu X, Yang X, Yan H, Wang S, Wu Y, Zhong W. A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer. Front Oncol 2020; 10:1503. [PMID: 33014793 PMCID: PMC7493745 DOI: 10.3389/fonc.2020.01503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/14/2020] [Indexed: 11/29/2022] Open
Abstract
Aim: Response Evaluation Criteria in Solid Tumors (RECIST) is occasionally insufficient for evaluation. We proposed a new prognostic index (NPI) that combines the standardized uptake value (SUV), metabolic tumor volume (MTV), and RECIST. Methods: In total, 116 patients with lung cancer who underwent consecutive positron emission tomography-computed tomography prior to and after the initial treatment were included. We formulated the NPI by estimating the hazard ratios of overall survival for ΔMTV, ΔSUVmax, and ΔD (tumor size based on RECIST). Progression-free survival (PFS) and overall survival (OS) were compared between RECIST and the NPI. Results: ROC curve analysis identified two cutoff values based on the NPI (≤ -49.3% and ≥43.4%) to discriminate partial remission (NPR), stable disease (NSD) and progressive disease (NPD). Based on RECIST, survival analysis did not discriminate significantly on either PFS or OS between the PR, SD, and PD groups. However, according to the NPI, PFS and OS differed significantly between the NPR, NSD, and NPD groups (training set: PFS, p = 0.048; OS, p = 0.026; validation set: PFS, p = 0.004; OS, p = 0.023). Moreover, therapeutic response based on NPI was independent prognostic factor for both PFS [NPR as reference, NSD: hazard ratio (HR) 2.04; 95% confidence interval (95% CI) 1.35-3.08; p = 0.001; NPD: HR 6.87; 95% CI 3.03-15.57; p < 0.001] and OS (NPR as reference, NSD: HR 1.64; 95% CI 1.05-2.57; p = 0.031; NPD: HR 3.56; 95% CI 1.59-7.95; p = 0.002). Conclusion: The NPI showed superiority for evaluation of the therapeutic response and survival for patients with non-small cell lung cancer, overcoming the limitations of RECIST.
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Affiliation(s)
- Wenfang Tang
- Department of Cardiothoracic Surgery, Zhongshan People's Hospital, Zhongshan, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qingyi Hou
- Nuclear Medicine Department, Weilun PET Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Juntao Lin
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongjiang Li
- Nuclear Medicine Department, Weilun PET Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jieshan Lin
- Department of Nephrology, Blood Purifiction Center, Zhongshan People's Hospital, Zhongshan, China
| | - Jinghua Chen
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Zhenbin Qiu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiangpeng Chu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiongwen Yang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Honghong Yan
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shuxia Wang
- Nuclear Medicine Department, Weilun PET Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yilong Wu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wenzhao Zhong
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Pourvaziri A, Parakh A, Biondetti P, Sahani D, Kambadakone A. Abdominal CT manifestations of adverse events to immunotherapy: a primer for radiologists. Abdom Radiol (NY) 2020; 45:2624-2636. [PMID: 32451672 DOI: 10.1007/s00261-020-02531-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Immunotherapy is a rapidly growing field within oncology and is being increasingly used in the management of several malignancies. Due to their unique mechanism of action on the immune system and neoplastic cells, the response pattern and adverse events of this novel therapy are distinct from conventional systemic therapies. Accordingly, the imaging appearances following immunotherapy including adverse events are unique and at times perplexing. Imaging is integral to management of patients on immunotherapeutic agents and a thorough understanding of its mechanism, response patterns and adverse events is crucial for precise interpretation of imaging studies. This review provides a description of the mechanism of action of current immunotherapeutic agents and the organ-wise description of their side effects.
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Affiliation(s)
- Ali Pourvaziri
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Anushri Parakh
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Pierpaolo Biondetti
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Dushyant Sahani
- Department of Radiology, University of Washington, UWMC Radiology RR218, 1959 NE Pacific St, Seattle, WA, 98195, USA
| | - Avinash Kambadakone
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA.
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