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Guimarães JB, da Cruz IAN, Ahlawat S, Ormond Filho AG, Nico MAC, Lederman HM, Fayad LM. The Role of Whole-Body MRI in Pediatric Musculoskeletal Oncology: Current Concepts and Clinical Applications. J Magn Reson Imaging 2024; 59:1886-1901. [PMID: 34145692 DOI: 10.1002/jmri.27787] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 01/23/2023] Open
Abstract
Whole-body magnetic resonance imaging (WB-MRI) has gained importance in the field of musculoskeletal oncology over the last decades, consisting in a one-stop imaging method that allows a wide coverage assessment of both bone and soft tissue involvement. WB-MRI is valuable for diagnosis, staging, and follow-up in many oncologic diseases and is especially advantageous for the pediatric population since it avoids redundant examinations and exposure to ionizing radiation in patients who often undergo long-term surveillance. Its clinical application has been studied in many pediatric neoplasms, such as cancer predisposition syndromes, Langerhans cell histiocytosis, lymphoma, sarcomas, and neuroblastoma. The addition of diffusion-weighted sequences allows functional evaluation of neoplastic lesions, which is helpful in the assessment of viable tumor and response to treatment after neoadjuvant or adjuvant therapy. WB-MRI is an excellent alternative to fluorodeoxyglucose-positron emission tomography/computed tomography in oncologic children, with comparable accuracy and the convenience of being radiation-free, fast to perform, and available at a similar cost. The development of new techniques and protocols makes WB-MRI increasingly faster, safer, and more accessible, and it is important for referring physicians and radiologists to recognize the role of this imaging method in pediatric oncology. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Júlio Brandão Guimarães
- Diagnostic Imaging Center, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil
- Department of Radiology, Fleury Group, São Paulo, Brazil
- Department of Radiology, Federal University of São Paulo, São Paulo, Brazil
| | | | - Shivani Ahlawat
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Alípio Gomes Ormond Filho
- Diagnostic Imaging Center, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil
| | - Marcelo Astolfi Caetano Nico
- Diagnostic Imaging Center, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil
| | - Henrique Manoel Lederman
- Diagnostic Imaging Center, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil
- Department of Radiology, Federal University of São Paulo, São Paulo, Brazil
| | - Laura Marie Fayad
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA
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Guja KE, Behr G, Bedmutha A, Kuhn M, Nadel HR, Pandit-Taskar N. Molecular Imaging with PET-CT and PET-MRI in Pediatric Musculoskeletal Diseases. Semin Nucl Med 2024; 54:438-455. [PMID: 38688770 DOI: 10.1053/j.semnuclmed.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 05/02/2024]
Abstract
Molecular imaging has emerged as an integral part of oncologic imaging. Given the physiologic changes that precede anatomic changes, molecular imaging can enable early detection of disease and monitoring of response. [18F] Fluorodeoxyglucose (FDG) Positron emission tomography (PET) is the predominant molecular imaging modality used in oncologic assessment and can be performed using PET/CT or PET/MR. In pediatric patients, PET/MRI imaging is generally preferred due to low radiation exposure and PET/MRI is particularly advantageous for imaging musculoskeletal (MSK) diseases, as MRI provides superior characterization of tissue changes as compared to CT. In this article, we provide an overview of the typical role of PET CT/MRI in assessment of some common pediatric malignancies and benign MSK diseases with case examples. We also discuss the relative advantages of PET/MRI compared to PET/CT, and review published data with a primary focus on the use of PET/MR.
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Affiliation(s)
- Kip E Guja
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald Behr
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Weil Cornell Medical College, New York, New York
| | - Akshay Bedmutha
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marlena Kuhn
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Helen R Nadel
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Neeta Pandit-Taskar
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Weil Cornell Medical College, New York, New York.
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Morakote W, Baratto L, Ramasamy SK, Adams LC, Liang T, Sarrami AH, Daldrup-Link HE. Comparison of diffusion-weighted MRI and [ 18F]FDG PET/MRI for treatment monitoring in pediatric Hodgkin and non-Hodgkin lymphoma. Eur Radiol 2024; 34:643-653. [PMID: 37542653 PMCID: PMC10993778 DOI: 10.1007/s00330-023-10015-5] [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: 05/01/2023] [Revised: 06/16/2023] [Accepted: 07/16/2023] [Indexed: 08/07/2023]
Abstract
OBJECTIVE To compare tumor therapy response assessments with whole-body diffusion-weighted imaging (WB-DWI) and 18F-fluorodeoxyglucose ([18F]FDG) PET/MRI in pediatric patients with Hodgkin lymphoma and non-Hodgkin lymphoma. MATERIALS AND METHODS In a retrospective, non-randomized single-center study, we reviewed serial simultaneous WB-DWI and [18F]FDG PET/MRI scans of 45 children and young adults (27 males; mean age, 13 years ± 5 [standard deviation]; age range, 1-21 years) with Hodgkin lymphoma (n = 20) and non-Hodgkin lymphoma (n = 25) between February 2018 and October 2022. We measured minimum tumor apparent diffusion coefficient (ADCmin) and maximum standardized uptake value (SUVmax) of up to six target lesions and assessed therapy response according to Lugano criteria and modified criteria for WB-DWI. We evaluated the agreement between WB-DWI- and [18F]FDG PET/MRI-based response classifications with Gwet's agreement coefficient (AC). RESULTS After induction chemotherapy, 95% (19 of 20) of patients with Hodgkin lymphoma and 72% (18 of 25) of patients with non-Hodgkin lymphoma showed concordant response in tumor metabolism and proton diffusion. We found a high agreement between treatment response assessments on WB-DWI and [18F]FDG PET/MRI (Gwet's AC = 0.94; 95% confidence interval [CI]: 0.82, 1.00) in patients with Hodgkin lymphoma, and a lower agreement for patients with non-Hodgkin lymphoma (Gwet's AC = 0.66; 95% CI: 0.43, 0.90). After completion of therapy, there was an excellent agreement between WB-DWI and [18F]FDG PET/MRI response assessments (Gwet's AC = 0.97; 95% CI: 0.91, 1). CONCLUSION Therapy response of Hodgkin lymphoma can be evaluated with either [18F]FDG PET or WB-DWI, whereas patients with non-Hodgkin lymphoma may benefit from a combined approach. CLINICAL RELEVANCE STATEMENT Hodgkin lymphoma and non-Hodgkin lymphoma exhibit different patterns of tumor response to induction chemotherapy on diffusion-weighted MRI and PET/MRI. KEY POINTS • Diffusion-weighted imaging has been proposed as an alternative imaging to assess tumor response without ionizing radiation. • After induction therapy, whole-body diffusion-weighted imaging and PET/MRI revealed a higher agreement in patients with Hodgkin lymphoma than in those with non-Hodgkin lymphoma. • At the end of therapy, whole-body diffusion-weighted imaging and PET/MRI revealed an excellent agreement for overall tumor therapy responses for all lymphoma types.
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Affiliation(s)
- Wipawee Morakote
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
| | - Shakthi K Ramasamy
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
| | - Lisa C Adams
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
| | - Tie Liang
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
| | - Amir H Sarrami
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Rd, Palo Alto, CA, 94304, USA.
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van Ewijk R, Chatziantoniou C, Adams M, Bertolini P, Bisogno G, Bouhamama A, Caro-Dominguez P, Charon V, Coma A, Dandis R, Devalck C, De Donno G, Ferrari A, Fiocco M, Gallego S, Giraudo C, Glosli H, Ter Horst SAJ, Jenney M, Klein WM, Leemans A, Leseur J, Mandeville HC, McHugh K, Merks JHM, Minard-Colin V, Moalla S, Morosi C, Orbach D, Ording Muller LS, Pace E, Di Paolo PL, Perruccio K, Quaglietta L, Renard M, van Rijn RR, Ruggiero A, Sirvent SI, De Luca A, Schoot RA. Quantitative diffusion-weighted MRI response assessment in rhabdomyosarcoma: an international retrospective study on behalf of the European paediatric Soft tissue sarcoma Study Group Imaging Committee. Pediatr Radiol 2023; 53:2539-2551. [PMID: 37682330 PMCID: PMC10635937 DOI: 10.1007/s00247-023-05745-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To investigate the feasibility of diffusion-weighted magnetic resonance imaging (DW-MRI) as a predictive imaging marker after neoadjuvant chemotherapy in patients with rhabdomyosarcoma. MATERIAL AND METHODS We performed a multicenter retrospective study including pediatric, adolescent and young adult patients with rhabdomyosarcoma, Intergroup Rhabdomyosarcoma Study group III/IV, treated according to the European paediatric Soft tissue sarcoma Study Group (EpSSG) RMS2005 or MTS2008 studies. DW-MRI was performed according to institutional protocols. We performed two-dimensional single-slice tumor delineation. Areas of necrosis or hemorrhage were delineated to be excluded in the primary analysis. Mean, median and 5th and 95th apparent diffusion coefficient (ADC) were extracted. RESULTS Of 134 included patients, 82 had measurable tumor at diagnosis and response and DW-MRI scans of adequate quality and were included in the analysis. Technical heterogeneity in scan acquisition protocols and scanners was observed. Mean ADC at diagnosis was 1.1 (95% confidence interval [CI]: 1.1-1.2) (all ADC expressed in * 10-3 mm2/s), versus 1.6 (1.5-1.6) at response assessment. The 5th percentile ADC was 0.8 (0.7-0.9) at diagnosis and 1.1 (1.0-1.2) at response. Absolute change in mean ADC after neoadjuvant chemotherapy was 0.4 (0.3-0.5). Exploratory analyses for association between ADC and clinical parameters showed a significant difference in mean ADC at diagnosis for alveolar versus embryonal histology. Landmark analysis at nine weeks after the date of diagnosis showed no significant association (hazard ratio 1.3 [0.6-3.2]) between the mean ADC change and event-free survival. CONCLUSION A significant change in the 5th percentile and the mean ADC after chemotherapy was observed. Strong heterogeneity was identified in DW-MRI acquisition protocols between centers and in individual patients.
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Affiliation(s)
- Roelof van Ewijk
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands.
| | - Cyrano Chatziantoniou
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Madeleine Adams
- Department of Paediatric Oncology, Children's Hospital for Wales, University Hospital, Cardiff, UK
| | - Patrizia Bertolini
- Pediatric Hematology-Oncology Unit University-Hospital of Parma, Parma, Italy
| | - Gianni Bisogno
- Department of Women's and Children's Health, University of Padua, Padua, Italy
- Pediatric Hematology Oncology Division, University Hospital of Padua, Padua, Italy
| | - Amine Bouhamama
- Service de Radiologie Interventionnelle Oncologique, Centre Léon Bérard, Lyon, France
| | - Pablo Caro-Dominguez
- Pediatric Radiology Unit, Department of Radiology, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, Seville, Spain
| | | | - Ana Coma
- Paediatric Radiology Unit, Vall d´Hebron Hospital Campus, Barcelona, Spain
| | - Rana Dandis
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| | | | - Giulia De Donno
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Andrea Ferrari
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Marta Fiocco
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Mathematical Institute, Leiden University, Leiden, The Netherlands
| | - Soledad Gallego
- Pediatric Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain
| | - Chiara Giraudo
- Unit of Advanced Clinical and Translational Imaging, Department of Medicine-DIMED, University of Padova, 35122, Padua, Italy
| | - Heidi Glosli
- Department of Paediatric Research, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Simone A J Ter Horst
- Department of Radiology and Nuclear Medicine, Wilhelmina Children's Hospital, UMC Utrecht, Utrecht, The Netherlands
| | - Meriel Jenney
- Paediatric Oncology, Cardiff and Vale UHB, Cardiff, UK
| | - Willemijn M Klein
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Julie Leseur
- Service de Radiothérapie, Centre Eugène Marquis, Rennes, France
| | - Henry C Mandeville
- Department of Radiotherapy, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK
| | - Kieran McHugh
- Department of Radiology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Johannes H M Merks
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Veronique Minard-Colin
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Salma Moalla
- Department of Imaging, Institut Gustave Roussy, Villejuif, France
| | - Carlo Morosi
- Diagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy
| | - Daniel Orbach
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA With Cancer), Institut Curie, PSL Research University, Paris, France
| | - Lil-Sofie Ording Muller
- Department of Radiology and Intervention Unit for Paediatric Radiology, Oslo University Hospital, Ullevål, Norway
| | - Erika Pace
- Department of Radiology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Pier Luigi Di Paolo
- Department of Radiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Katia Perruccio
- Pediatric Hematology Oncology, Azienda Ospedaliera Universitaria, Ospedale Santa Maria Della Misericordia, Perugia, Italy
| | - Lucia Quaglietta
- Neuro-Oncology Unit, Department of Paediatric Oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Marleen Renard
- Department of Paediatric Hemato-Oncology, University Hospital Leuven, Louvain, Belgium
| | - Rick R van Rijn
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - Antonio Ruggiero
- Pediatric Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sara I Sirvent
- Pediatric Radiology Department, Hospital Niño Jesús, Madrid, Spain
| | - Alberto De Luca
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
- Department of Neurology, UMC Utrecht Brain Center, UMC Utrecht, Utrecht, The Netherlands
| | - Reineke A Schoot
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
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Sabeghi P, Katal S, Chen M, Taravat F, Werner TJ, Saboury B, Gholamrezanezhad A, Alavi A. Update on Positron Emission Tomography/Magnetic Resonance Imaging: Cancer and Inflammation Imaging in the Clinic. Magn Reson Imaging Clin N Am 2023; 31:517-538. [PMID: 37741639 DOI: 10.1016/j.mric.2023.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2023]
Abstract
Hybrid PET/MRI is highly valuable, having made significant strides in overcoming technical challenges and offering unique advantages such as reduced radiation, precise data coregistration, and motion correction. Growing evidence highlights the value of PET/MRI in broad clinical aspects, including inflammatory and oncological imaging in adults, pregnant women, and pediatrics, potentially surpassing PET/CT. This newly integrated solution may be preferred over PET/CT in many clinical conditions. However, further technological advancements are required to facilitate its broader adoption as a routine diagnostic modality.
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Affiliation(s)
- Paniz Sabeghi
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Sanaz Katal
- Medical Imaging Department of St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Michelle Chen
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Farzaneh Taravat
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Babak Saboury
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
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Peng L, Liao Y, Zhou R, Zhong Y, Jiang H, Wang J, Fu Y, Xue L, Zhang X, Sun M, Feng G, Meng Z, Peng S, He X, Teng G, Gao X, Zhang H, Tian M. [ 18F]FDG PET/MRI combined with chest HRCT in early cancer detection: a retrospective study of 3020 asymptomatic subjects. Eur J Nucl Med Mol Imaging 2023; 50:3723-3734. [PMID: 37401938 PMCID: PMC10547651 DOI: 10.1007/s00259-023-06273-6] [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: 03/13/2023] [Accepted: 05/18/2023] [Indexed: 07/05/2023]
Abstract
PURPOSE PET/MRI has become an important medical imaging approach in clinical practice. In this study, we retrospectively investigated the detectability of fluorine-18 (18F)-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging ([18F]FDG PET/MRI) combined with chest computerized tomography (CT) for early cancer in a large cohort of asymptomatic subjects. METHODS This study included a total of 3020 asymptomatic subjects who underwent whole-body [18F]FDG PET/MRI and chest HRCT examinations. All subjects received a 2-4-year follow-up for cancer development. Cancer detection rate, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the [18F]FDG PET/MRI with or without chest HRCT were calculated and analyzed. RESULTS Sixty-one subjects were pathologically diagnosed with cancers, among which 59 were correctly detected by [18F]FDG PET/MRI combined with chest HRCT. Of the 59 patients (32 with lung cancer, 9 with breast cancer, 6 with thyroid cancer, 5 with colon cancer, 3 with renal cancer, 1 with prostate cancer, 1 with gastric cancer, 1 with endometrial cancer, and 1 with lymphoma), 54 (91.5%) were at stage 0 or stage I (according to the 8th edition of the tumor-node-metastasis [TNM] staging system), 33 (55.9%) were detected by PET/MRI alone (27 with non-lung cancers and 6 with lung cancer). Cancer detection rate, sensitivity, specificity, PPV, and NPV for PET/MRI combined with chest CT were 2.0%, 96.7%, 99.6%, 83.1%, and 99.9%, respectively. For PET/MRI alone, the metrics were 1.1%, 54.1%, 99.6%, 73.3%, and 99.1%, respectively, and for PET/MRI in non-lung cancers, the metrics were 0.9%, 93.1%, 99.6%, 69.2%, and 99.9%, respectively. CONCLUSIONS [18F]FDG PET/MRI holds great promise for the early detection of non-lung cancers, while it seems insufficient for detecting early-stage lung cancers. Chest HRCT can be complementary to whole-body PET/MRI for early cancer detection. TRIAL REGISTRATION ChiCTR2200060041. Registered 16 May 2022. Public site: https://www.chictr.org.cn/index.html.
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Affiliation(s)
- Liling Peng
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Yi Liao
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Yan Zhong
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Han Jiang
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Jing Wang
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Yu Fu
- College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China
| | - Le Xue
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Mingxiang Sun
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Gang Feng
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Zhaoting Meng
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Sisi Peng
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Xuexin He
- Department of Oncology, Huashan Hospital, Fudan University, Shanghai, China
| | - Gaojun Teng
- Radiology Department, Zhongda Hospital Southeast University, Nanjing, Jiangsu, China
| | - Xin Gao
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China.
| | - Hong Zhang
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Zhejiang, Hangzhou, China.
- The College of Biomedical Engineering and Instrument Science, Zhejiang University, Zhejiang, Hangzhou, China.
| | - Mei Tian
- Department of Nuclear Medicine and PET-CT Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Human Phenome Institute, Fudan University, Shanghai, China.
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7
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Rashidi A, Baratto L, Jayapal P, Theruvath AJ, Greene EB, Lu R, Spunt SL, Daldrup-Link HE. Detection of bone marrow metastases in children and young adults with solid cancers with diffusion-weighted MRI. Skeletal Radiol 2023; 52:1179-1192. [PMID: 36441237 PMCID: PMC10757820 DOI: 10.1007/s00256-022-04240-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/19/2022] [Accepted: 11/20/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To compare the diagnostic accuracy of diffusion-weighted (DW)-MRI with b-values of 50 s/mm2 and 800 s/mm2 for the detection of bone marrow metastases in children and young adults with solid malignancies. METHODS In an institutional review board-approved prospective study, we performed 51 whole-body DW-MRI scans in 19 children and young adults (14 males, 5 females; age range: 1-25 years) with metastasized cancers before (n = 19 scans) and after (n = 32 scans) chemotherapy. Two readers determined the presence of focal bone marrow lesions in 10 anatomical areas. A third reader measured ADC and SNR of focal lesions and normal marrow. Simultaneously acquired 18F-FDG-PET scans served as the standard of reference. Data of b = 50 s/mm2 and 800 s/mm2 images were compared with the Wilcoxon signed-rank test. Inter-reader agreement was evaluated with weighted kappa statistics. RESULTS The SNR of bone marrow metastases was significantly higher compared to normal bone marrow on b = 50 s/mm2 (mean ± SD: 978.436 ± 1239.436 vs. 108.881 ± 109.813, p < 0.001) and b = 800 s/mm2 DW-MRI (499.638 ± 612.721 vs. 86.280 ± 89.120; p < 0.001). On 30 out of 32 post-treatment DW-MRI scans, reconverted marrow demonstrated low signal with low ADC values (0.385 × 10-3 ± 0.168 × 10-3mm2/s). The same number of metastases (556/588; 94.6%; p > 0.99) was detected on b = 50 s/mm2 and 800 s/mm2 images. However, both normal marrow and metastases exhibited low signals on ADC maps, limiting the ability to delineate metastases. The inter-reader agreement was substantial, with a weighted kappa of 0.783 and 0.778, respectively. CONCLUSION Bone marrow metastases in children and young adults can be equally well detected on b = 50 s/mm2 and 800 s/mm2 images, but ADC values can be misleading.
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Affiliation(s)
- Ali Rashidi
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Praveen Jayapal
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashok Joseph Theruvath
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Elton Benjamin Greene
- Department of Radiology, Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, USA
| | - Rong Lu
- Quantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, USA
| | - Sheri L Spunt
- Department of Pediatrics, Hematology/Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pediatrics, Hematology/Oncology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, 725 Welch Rd, Stanford, CA, 94305-5654, USA.
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8
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Frush DP, Callahan MJ, Coley BD, Nadel HR, Guillerman RP. Comparison of the different imaging modalities used to image pediatric oncology patients: A COG diagnostic imaging committee/SPR oncology committee white paper. Pediatr Blood Cancer 2023; 70 Suppl 4:e30298. [PMID: 37025033 PMCID: PMC10652359 DOI: 10.1002/pbc.30298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 04/08/2023]
Abstract
Diagnostic imaging is essential in the diagnosis and management, including surveillance, of known or suspected cancer in children. The independent and combined roles of the various modalities, consisting of radiography, fluoroscopy, ultrasonography (US), computed tomography (CT), magnetic resonance imaging (MRI), and nuclear medicine (NM), are both prescribed through protocols but also function in caring for complications that may occur during or subsequent to treatment such as infection, bleeding, or organ compromise. Use of a specific imaging modality may be based on situational circumstances such as a brain CT or MR for a new onset seizure, chest CT for respiratory signs or symptoms, or US for gross hematuria. However, in many situations, there are competing choices that do not easily lend themselves to a formulaic approach as options; these situations depend on the contributions of a variety of factors based on a combination of the clinical scenario and the strengths and limitations of the imaging modalities. Therefore, an improved understanding of the potential influence of the imaging decision pathways in pediatric cancer care can come from comparison among the individual diagnostic imaging modalities. The purpose of the following material to is to provide such a comparison. To do this, pediatric imaging content experts for the individual modalities of radiography and fluoroscopy, US, CT, MRI, and NM will discuss the individual modality strengths and limitations.
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Affiliation(s)
- Donald P. Frush
- Department of Radiology, Box 3808, Duke University Medical Center, Durham, NC 27710
| | - Michael J. Callahan
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115
| | - Brian D. Coley
- Division of Radiology and Medical Imaging, 3333 Burnet Avenue MLC 15017., Children’s Hospital Medical Center, Cincinnati, OH 45229
| | - Helen R. Nadel
- Pediatric Radiology, Lucile Packard Children’s Hospital at Stanford, Stanford University School of Medicine, 725 Welch Rd, MC 5913, Palo Alto, CA 94304
| | - R. Paul Guillerman
- Department of Radiology, Texas Children’s Hospital, 6701 Fannin Street, Suite 470, Houston, TX 77030
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9
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Oh C, Bishop MW, Cho SY, Im HJ, Shulkin BL. 18F-FDG PET/CT in the Management of Osteosarcoma. J Nucl Med 2023:jnumed.123.265592. [PMID: 37201958 DOI: 10.2967/jnumed.123.265592] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/26/2023] [Indexed: 05/20/2023] Open
Abstract
Osteosarcoma is the most common type of primary malignant bone tumor. 18F-FDG PET/CT is useful for staging, detecting recurrence, monitoring response to neoadjuvant chemotherapy, and predicting prognosis. Here, we review the clinical aspects of osteosarcoma management and assess the role of 18F-FDG PET/CT, in particular with regard to pediatric and young adult patients.
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Affiliation(s)
- Chiwoo Oh
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Michael W Bishop
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Steve Y Cho
- Nuclear Medicine and Molecular Imaging Section, Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Hyung-Jun Im
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea;
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea; and
| | - Barry L Shulkin
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee
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10
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Cruz IAN, Fayad LM, Ahlawat S, Lederman HM, Nico MAC, Ormond Filho AG, Guimarães JB. Whole-Body MRI in Musculoskeletal Oncology: A Comprehensive Review with Recommendations. Radiol Imaging Cancer 2023; 5:e220107. [PMID: 37144975 DOI: 10.1148/rycan.220107] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Whole-body (WB) MRI has emerged as an attractive method for oncologic evaluation, potentially replacing conventional imaging modalities and providing a one-step wide-coverage assessment of both the skeleton and soft tissues. In addition to providing anatomic information, WB MRI may also yield a functional analysis with the inclusion of diffusion-weighted imaging (DWI). DWI translates microstructural changes, resulting in an excellent alternative to fluorodeoxyglucose PET/CT. WB MRI (with DWI) offers comparable accuracy to PET/CT and has the advantage of avoiding ionizing radiation. Technological advances and the development of faster protocols have prompted greater accessibility of WB MRI, with growing applications in routine practice for the diagnosis, staging, and follow-up of cancer. This review discusses the technical considerations, clinical applications, and accuracy of WB MRI in musculoskeletal oncology. Keywords: Pediatrics, MR Imaging, Skeletal-Axial, Skeletal-Appendicular, Soft Tissues/Skin, Bone Marrow, Extremities, Oncology, Musculoskeletal Imaging © RSNA, 2023.
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Affiliation(s)
- Isabela A N Cruz
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Laura M Fayad
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Shivani Ahlawat
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Henrique M Lederman
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Marcelo A C Nico
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Alípio G Ormond Filho
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
| | - Júlio Brandão Guimarães
- From the Department of Musculoskeletal Radiology, Fleury Medicina e Saúde Higienópolis, R. Mato Grosso 306, Higienópolis, SP, Brazil 01239-040 (I.A.N.C., M.A.C.N., A.G.O.F., J.B.G.); Department of Radiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil (I.A.N.C., H.M.L., J.B.G.); The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Md (L.M.F., S.A.); and Department of Radiology, Pediatric Oncology Institute, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), São Paulo, Brazil (H.M.L., J.B.G.)
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11
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Baratto L, Nyalakonda R, Theruvath AJ, Sarrami AH, Hawk KE, Rashidi A, Shen S, States L, Aboian M, Jeng M, Daldrup-Link HE. Comparison of whole-body DW-MRI with 2-[ 18F]FDG PET for staging and treatment monitoring of children with Langerhans cell histiocytosis. Eur J Nucl Med Mol Imaging 2023; 50:1689-1698. [PMID: 36717409 PMCID: PMC10121877 DOI: 10.1007/s00259-023-06122-6] [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: 10/11/2022] [Accepted: 01/22/2023] [Indexed: 02/01/2023]
Abstract
PURPOSE To assess and compare the diagnostic accuracy of whole-body (WB) DW-MRI with 2-[18F]FDG PET for staging and treatment monitoring of children with Langerhans cell histiocytosis (LCH). METHODS Twenty-three children with LCH underwent 2-[18F]FDG PET and WB DW-MRI at baseline. Two nuclear medicine physicians and two radiologists independently assessed presence/absence of tumors in 8 anatomical areas. Sixteen children also performed 2-[18F]FDG PET and WB DW-MRI at follow-up. One radiologist and one nuclear medicine physician revised follow-up scans and collected changes in tumor apparent diffusion (ADC) and standardized uptake values (SUV) before and after therapy in all detectable lesions. 2-[18F]FDG PET results were considered the standard of reference for tumor detection and evaluation of treatment response according to Lugano criteria. Sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy of WB DW-MRI at baseline were calculated, and the 95% confidence intervals were estimated by using the Clopper-Pearson (exact) method; changes in tumor SUVs and ADC were compared using a Mann-Whitney U test. Agreement between reviewers was assessed with a Cohen's weighted kappa coefficient. Analyses were conducted using SAS software version 9.4. RESULTS Agreement between reviewers was perfect (kappa coefficient = 1) for all analyzed regions but spine and neck (kappa coefficient = 0.89 and 0.83, respectively) for 2-[18F]FDG PET images, and abdomen and pelvis (kappa coefficient = 0.65 and 0.88, respectively) for WB DW-MRI. Sensitivity and specificity were 95.5% and 100% for WB DW-MRI compared to 2-[18F]FDG PET. Pre to post-treatment changes in SUVratio and ADCmean were inversely correlated for all lesions (r: -0.27, p = 0·06) and significantly different between responders and non-responders to chemotherapy (p = 0.0006 and p = 0·003 for SUVratio and ADCmean, respectively). CONCLUSION Our study showed that WB DW-MRI has similar accuracy to 2-[18F]FDG PET for staging and treatment monitoring of LCH in children. While 2-[18F]FDG PET remains an approved radiological examination for assessing metabolically active disease, WB DW-MRI could be considered as an alternative approach without radiation exposure. The combination of both modalities might have advantages over either approach alone.
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Affiliation(s)
- Lucia Baratto
- Department of Radiology, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, CA. 1201 Welch Rd, Stanford, CA, 94305, USA.
| | - Ramyashree Nyalakonda
- University of North Texas Health Science Center, Texas College of Osteopathic Medicine, TX, 3500 Camp Bowie Boulevard, Fort Worth, TX, 76107-2699, USA
| | - Ashok J Theruvath
- Edward B. Singleton, Department of Radiology, Texas Children's Hospital, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Amir Hossein Sarrami
- Department of Radiology, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, CA. 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Kristina Elizabeth Hawk
- Department of Radiology, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, CA. 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Ali Rashidi
- Department of Radiology, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, CA. 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Sa Shen
- Quantitative Sciences Unit, Department of Medicine, Stanford University, CA. 1070 Arastradero Road, Palo Alto, CA, 94305, USA
| | - Lisa States
- Department of Radiology, Division of Body Imaging, The Children's Hospital of Philadelphia, University of Pennsylvania, PA. 401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Mariam Aboian
- Department of Radiology, Division of Neuroradiology and Nuclear Medicine, Yale School of Medicine, CT. 333 Cedar St, New Haven, CT, 06510, USA
| | - Michael Jeng
- Department of Pediatrics, Pediatric Hematology/Oncology, Lucile Packard Children's Hospital, Stanford University, CA. 725 Welch Road, Stanford, CA, 94305, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, CA. 1201 Welch Rd, Stanford, CA, 94305, USA
- Department of Pediatrics, Pediatric Hematology/Oncology, Lucile Packard Children's Hospital, Stanford University, CA. 725 Welch Road, Stanford, CA, 94305, USA
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12
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Padwal J, Baratto L, Chakraborty A, Hawk K, Spunt S, Avedian R, Daldrup-Link HE. PET/MR of pediatric bone tumors: what the radiologist needs to know. Skeletal Radiol 2023; 52:315-328. [PMID: 35804163 PMCID: PMC9826799 DOI: 10.1007/s00256-022-04113-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/11/2022] [Accepted: 06/29/2022] [Indexed: 02/02/2023]
Abstract
Integrated 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG) positron emission tomography (PET)/magnetic resonance (MR) imaging can provide "one stop" local tumor and whole-body staging in one session, thereby streamlining imaging evaluations and avoiding duplicate anesthesia in young children. 18F-FDG PET/MR scans have the benefit of lower radiation, superior soft tissue contrast, and increased patient convenience compared to 18F-FDG PET/computerized tomography scans. This article reviews the 18F-FDG PET/MR imaging technique, reporting requirements, and imaging characteristics of the most common pediatric bone tumors, including osteosarcoma, Ewing sarcoma, primary bone lymphoma, bone and bone marrow metastases, and Langerhans cell histiocytosis.
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Affiliation(s)
- Jennifer Padwal
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Lucia Baratto
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Amit Chakraborty
- Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Kristina Hawk
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Sheri Spunt
- Department of Pediatrics, Stanford University, 725 Welch Rd., Rm. 1665, Stanford, CA, 94305-5614, USA
| | - Raffi Avedian
- Department of Surgery, Division of Pediatric Orthopedic Surgery, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94305, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
- Cancer Imaging Program, Stanford Cancer Institute, Stanford, USA.
- Department of Pediatrics, Stanford University, 725 Welch Rd., Rm. 1665, Stanford, CA, 94305-5614, USA.
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13
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Vladimirov N, Perlman O. Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response. Int J Mol Sci 2023; 24:3151. [PMID: 36834563 PMCID: PMC9959624 DOI: 10.3390/ijms24043151] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiency. However, many patients still fail to benefit from this treatment modality, and the exact mechanisms responsible for tumor response are unknown. Noninvasive treatment monitoring is crucial for longitudinal tumor characterization and the early detection of non-responders. While various medical imaging techniques can provide a morphological picture of the lesion and its surrounding tissue, a molecular-oriented imaging approach holds the key to unraveling biological effects that occur much earlier in the immunotherapy timeline. Magnetic resonance imaging (MRI) is a highly versatile imaging modality, where the image contrast can be tailored to emphasize a particular biophysical property of interest using advanced engineering of the imaging pipeline. In this review, recent advances in molecular-MRI based cancer immunotherapy monitoring are described. Next, the presentation of the underlying physics, computational, and biological features are complemented by a critical analysis of the results obtained in preclinical and clinical studies. Finally, emerging artificial intelligence (AI)-based strategies to further distill, quantify, and interpret the image-based molecular MRI information are discussed in terms of perspectives for the future.
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Affiliation(s)
- Nikita Vladimirov
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Or Perlman
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
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14
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Vandecaveye V, Dresen RC, Pauwels E, Van Binnebeek S, Vanslembrouck R, Baete K, Mottaghy FM, Clement PM, Nackaerts K, Van Cutsem E, Verslype C, De Keyzer F, Deroose CM. Early Whole-Body Diffusion-weighted MRI Helps Predict Long-term Outcome Following Peptide Receptor Radionuclide Therapy for Metastatic Neuroendocrine Tumors. Radiol Imaging Cancer 2022; 4:e210095. [PMID: 35621524 PMCID: PMC9152691 DOI: 10.1148/rycan.210095] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Purpose To evaluate the predictive value of 7-week apparent diffusion coefficient change from baseline (ADCratio7w) at whole-body diffusion-weighted MRI (WB-DWI MRI) after one peptide receptor radionuclide therapy (PRRT) cycle to predict outcome in patients with metastatic neuroendocrine tumor (mNET). Materials and Methods From April 2009 to May 2012, participants in a prospective clinical trial investigating yttrium 90-DOTA Phe1-Tyr3-octreotide (DOTATOC) treatment for mNET (EudraCT no. 2008-007965-22) underwent WB-DWI MRI and gallium 68 (68Ga)-DOTATOC PET/CT before and 7 weeks after one PRRT cycle. ADCratio7w response was compared with the 7-week Response Evaluation Criteria in Solid Tumors version 1.1 and 68Ga-DOTATOC PET/CT quantitative responses to predict overall survival (OS) and progression-free survival (PFS) with Cox regression analysis. Results Forty participants were analyzed (mean age, 60 years ± 11 [SD]; 21 men). Median PFS and OS were 10.5 months (range, 2-36 months) and 18 months (range, 3-81 months), respectively. Survival analysis showed significantly positive effects on PFS by age (hazard ratio [HR] = 0.96, P = .007), tumor grade (HR = 2.84, P = .006), Ki-67 index (HR = 1.05, P = .01), ADCratio7w of the least-responding lesion (ADCratio7w-least) (HR = 0.94, P < .001), and baseline mean standardized uptake values (SUVmean) (HR = 0.89, P = .02), with ADCratio7w-least and SUVmean remaining significant in multivariable analysis (P < .001, P = .02, respectively). There were significantly positive effects on OS by pretreatment lesion volume (HR = 1.004, P = .004), tumor grade (HR = 2.14, P = .04), Ki-67 index (HR = 1.05, P = .01), and ADCratio7w-least (HR = 0.97, P < .001), with pretreatment volume and ADCratio7w-least remaining significant at multivariable analysis (P = .005, P = .002, respectively). Conclusion The ADCratio7w after start of PRRT for mNET was an independent predictor of patient outcome. Keywords: MR-Diffusion-Weighted Imaging, Radionuclide Therapy, Whole-Body Imaging, Metastases, Tumor Response, Treatment Effects EudraCT no. 2008-007965-22 © RSNA, 2022.
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15
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Ingley KM, Maleddu A, Grange FL, Gerrand C, Bleyer A, Yasmin E, Whelan J, Strauss SJ. Current approaches to management of bone sarcoma in adolescent and young adult patients. Pediatr Blood Cancer 2022; 69:e29442. [PMID: 34767314 DOI: 10.1002/pbc.29442] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 10/02/2021] [Accepted: 10/16/2021] [Indexed: 01/05/2023]
Abstract
Bone tumors are a group of histologically diverse diseases that occur across all ages. Two of the commonest, osteosarcoma (OS) and Ewing sarcoma (ES), are regarded as characteristic adolescent and young adult (AYA) cancers with an incidence peak in AYAs. They are curable for some but associated with unacceptably high rates of treatment failure and morbidity. The introduction of effective new therapeutics for bone sarcomas is slow, and to date, complex biology has been insufficiently characterized to allow more rapid therapeutic exploitation. This review focuses on current standards of care, recent advances that have or may soon change that standard of care and challenges to the expert clinical research community that we suggest must be met.
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Affiliation(s)
- Katrina M Ingley
- London Sarcoma Service, University College London Hospitals NHS Trust, London, UK
| | - Alessandra Maleddu
- London Sarcoma Service, University College London Hospitals NHS Trust, London, UK
| | - Franel Le Grange
- London Sarcoma Service, University College London Hospitals NHS Trust, London, UK
| | - Craig Gerrand
- London Sarcoma Service, Department of Orthopaedic Oncology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK
| | - Archie Bleyer
- Oregon Health and Science University, Portland, Oregon
| | - Ephia Yasmin
- Reproductive Medicine Unit, University College London Hospitals NHS Trust, London, UK
| | - Jeremy Whelan
- London Sarcoma Service, University College London Hospitals NHS Trust, London, UK
| | - Sandra J Strauss
- London Sarcoma Service, University College London Hospitals NHS Trust, London, UK.,UCL Cancer Institute, London, UK
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16
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Daldrup-Link HE, Theruvath AJ, Baratto L, Hawk KE. One-stop local and whole-body staging of children with cancer. Pediatr Radiol 2022; 52:391-400. [PMID: 33929564 PMCID: PMC10874282 DOI: 10.1007/s00247-021-05076-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/04/2021] [Accepted: 03/30/2021] [Indexed: 12/19/2022]
Abstract
Accurate staging and re-staging of cancer in children is crucial for patient management. Currently, children with a newly diagnosed cancer must undergo a series of imaging tests, which are stressful, time-consuming, partially redundant, expensive, and can require repetitive anesthesia. New approaches for pediatric cancer staging can evaluate the primary tumor and metastases in a single session. However, traditional one-stop imaging tests, such as CT and positron emission tomography (PET)/CT, are associated with considerable radiation exposure. This is particularly concerning for children because they are more sensitive to ionizing radiation than adults and they live long enough to experience secondary cancers later in life. In this review article we discuss child-tailored imaging tests for tumor detection and therapy response assessment - tests that can be obtained with substantially reduced radiation exposure compared to traditional CT and PET/CT scans. This includes diffusion-weighted imaging (DWI)/MRI and integrated [F-18]2-fluoro-2-deoxyglucose (18F-FDG) PET/MRI scans. While several investigators have compared the value of DWI/MRI and 18F-FDG PET/MRI for staging pediatric cancer, the value of these novel imaging technologies for cancer therapy monitoring has received surprisingly little attention. In this article, we share our experiences and review existing literature on this subject.
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Affiliation(s)
- Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children's Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA.
- Department of Pediatrics, Stanford University, Stanford, CA, USA.
- Cancer Imaging and Early Detection Program, Stanford Cancer Institute, Stanford, CA, USA.
| | - Ashok J Theruvath
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children's Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
- Cancer Imaging and Early Detection Program, Stanford Cancer Institute, Stanford, CA, USA
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children's Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
- Cancer Imaging and Early Detection Program, Stanford Cancer Institute, Stanford, CA, USA
| | - Kristina Elizabeth Hawk
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children's Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
- Cancer Imaging and Early Detection Program, Stanford Cancer Institute, Stanford, CA, USA
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Lin G, Zong X, Li Y, Tan W, Sun W, Zhang S, Gan Y, Zeng H. Whole-Body MRI Is an Effective Imaging Modality for Hematological Malignancy Treatment Response Assessment: A Systematic Review and Meta-Analysis. Front Oncol 2022; 12:827777. [PMID: 35251996 PMCID: PMC8894650 DOI: 10.3389/fonc.2022.827777] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 01/11/2022] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES To evaluate the diagnostic accuracy of whole-body MRI (WB-MRI) for assessment of hematological malignancies' therapeutic response. METHODS PubMed, Embase, and Web of Science were searched up to August 2021 to identify studies reporting the diagnostic performance of WB-MRI for the assessment of hematological malignancies' treatment response. A bivariate random-effects model was applied for the generation of the pooled diagnostic performance. RESULTS Fourteen studies with 457 patients with lymphoma, multiple myeloma, and sarcoma (very small proportion) were analyzed. Overall pooled sensitivity and specificity of WB-MRI were 0.88 (95% CI: 0.73-0.95) and 0.86 (95% CI: 0.73-0.93), respectively. Studies using whole-body diffusion-weighted imaging (WB-DWI) showed higher sensitivity than those that did not (0.94 vs. 0.55, p = 0.02). The pooled concordance rate of WB-MRI to assess hematological malignancies' treatment response with reference standard was 0.78 (95% CI: 0.59-0.96). WB-MRI and PET/CT showed similar diagnostic performance (sensitivity [0.83 vs. 0.92, p = 0.11] and specificity [0.87 vs. 0.76, p = 0.73]). CONCLUSION WB-MRI has high diagnostic performance for hematological malignancies' treatment response assessment. The adding of WB-DWI is strongly associated with increased sensitivity.
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Affiliation(s)
- Guisen Lin
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Xiaodan Zong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, China
| | - Yaowen Li
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China
| | | | - Weisheng Sun
- Shantou University Medical College, Shantou, China
| | - Siqi Zhang
- Shantou University Medical College, Shantou, China
| | - Yungen Gan
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China
- *Correspondence: Yungen Gan, ; Hongwu Zeng,
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China
- *Correspondence: Yungen Gan, ; Hongwu Zeng,
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18
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Theruvath AJ, Siedek F, Yerneni K, Muehe AM, Spunt SL, Pribnow A, Moseley M, Lu Y, Zhao Q, Gulaka P, Chaudhari A, Daldrup-Link HE. Validation of Deep Learning-based Augmentation for Reduced 18F-FDG Dose for PET/MRI in Children and Young Adults with Lymphoma. Radiol Artif Intell 2021; 3:e200232. [PMID: 34870211 DOI: 10.1148/ryai.2021200232] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 08/30/2021] [Accepted: 09/17/2021] [Indexed: 11/11/2022]
Abstract
Purpose To investigate if a deep learning convolutional neural network (CNN) could enable low-dose fluorine 18 (18F) fluorodeoxyglucose (FDG) PET/MRI for correct treatment response assessment of children and young adults with lymphoma. Materials and Methods In this secondary analysis of prospectively collected data (ClinicalTrials.gov identifier: NCT01542879), 20 patients with lymphoma (mean age, 16.4 years ± 6.4 [standard deviation]) underwent 18F-FDG PET/MRI between July 2015 and August 2019 at baseline and after induction chemotherapy. Full-dose 18F-FDG PET data (3 MBq/kg) were simulated to lower 18F-FDG doses based on the percentage of coincidence events (representing simulated 75%, 50%, 25%, 12.5%, and 6.25% 18F-FDG dose [hereafter referred to as 75%Sim, 50%Sim, 25%Sim, 12.5%Sim, and 6.25%Sim, respectively]). A U.S. Food and Drug Administration-approved CNN was used to augment input simulated low-dose scans to full-dose scans. For each follow-up scan after induction chemotherapy, the standardized uptake value (SUV) response score was calculated as the maximum SUV (SUVmax) of the tumor normalized to the mean liver SUV; tumor response was classified as adequate or inadequate. Sensitivity and specificity in the detection of correct response status were computed using full-dose PET as the reference standard. Results With decreasing simulated radiotracer doses, tumor SUVmax increased. A dose below 75%Sim of the full dose led to erroneous upstaging of adequate responders to inadequate responders (43% [six of 14 patients] for 75%Sim; 93% [13 of 14 patients] for 50%Sim; and 100% [14 of 14 patients] below 50%Sim; P < .05 for all). CNN-enhanced low-dose PET/MRI scans at 75%Sim and 50%Sim enabled correct response assessments for all patients. Use of the CNN augmentation for assessing adequate and inadequate responses resulted in identical sensitivities (100%) and specificities (100%) between the assessment of 100% full-dose PET, augmented 75%Sim, and augmented 50%Sim images. Conclusion CNN enhancement of PET/MRI scans may enable 50% 18F-FDG dose reduction with correct treatment response assessment of children and young adults with lymphoma.Keywords: Pediatrics, PET/MRI, Computer Applications Detection/Diagnosis, Lymphoma, Tumor Response, Whole-Body Imaging, Technology AssessmentClinical trial registration no: NCT01542879 Supplemental material is available for this article. © RSNA, 2021.
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Affiliation(s)
- Ashok J Theruvath
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Florian Siedek
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Ketan Yerneni
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Anne M Muehe
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Sheri L Spunt
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Allison Pribnow
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Michael Moseley
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Ying Lu
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Qian Zhao
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Praveen Gulaka
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Akshay Chaudhari
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
| | - Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford (A.J.T., F.S., K.Y., A.M.M., M.M., A.C., H.E.D.L.), Department of Pediatrics, Division of Hematology/Oncology, Lucile Packard Children's Hospital (S.L.S., A.P., H.E.D.L.), and Department of Biomedical Data Science (Y.L., Q.Z.), Stanford University, 725 Welch Rd, Stanford, CA 94304; and Subtle Medical, Menlo Park, Calif (P.G.)
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19
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Spijkers S, Littooij AS, Kwee TC, Tolboom N, Beishuizen A, Bruin MCA, Enríquez G, Sábado C, Miller E, Granata C, de Lange C, Verzegnassi F, de Keizer B, Nievelstein RAJ. Whole-body MRI versus an [ 18F]FDG-PET/CT-based reference standard for early response assessment and restaging of paediatric Hodgkin's lymphoma: a prospective multicentre study. Eur Radiol 2021; 31:8925-8936. [PMID: 34021390 PMCID: PMC8589741 DOI: 10.1007/s00330-021-08026-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 03/21/2021] [Accepted: 04/28/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To compare WB-MRI with an [18F]FDG-PET/CT-based reference for early response assessment and restaging in children with Hodgkin's lymphoma (HL). METHODS Fifty-one children (ages 10-17) with HL were included in this prospective, multicentre study. All participants underwent WB-MRI and [18F]FDG-PET/CT at early response assessment. Thirteen of the 51 patients also underwent both WB-MRI and [18F]FDG-PET/CT at restaging. Two radiologists independently evaluated all WB-MR images in two separate readings: without and with DWI. The [18F]FDG-PET/CT examinations were evaluated by a nuclear medicine physician. An expert panel assessed all discrepancies between WB-MRI and [18F]FDG-PET/CT to derive the [18F]FDG-PET/CT-based reference standard. Inter-observer agreement for WB-MRI was calculated using kappa statistics. Concordance, PPV, NPV, sensitivity and specificity for a correct assessment of the response between WB-MRI and the reference standard were calculated for both nodal and extra-nodal disease presence and total response evaluation. RESULTS Inter-observer agreement of WB-MRI including DWI between both readers was moderate (κ 0.46-0.60). For early response assessment, WB-MRI DWI agreed with the reference standard in 33/51 patients (65%, 95% CI 51-77%) versus 15/51 (29%, 95% CI 19-43%) for WB-MRI without DWI. For restaging, WB-MRI including DWI agreed with the reference standard in 9/13 patients (69%, 95% CI 42-87%) versus 5/13 patients (38%, 95% CI 18-64%) for WB-MRI without DWI. CONCLUSIONS The addition of DWI to the WB-MRI protocol in early response assessment and restaging of paediatric HL improved agreement with the [18F]FDG-PET/CT-based reference standard. However, WB-MRI remained discordant in 30% of the patients compared to standard imaging for assessing residual disease presence. KEY POINTS • Inter-observer agreement of WB-MRI including DWI between both readers was moderate for (early) response assessment of paediatric Hodgkin's lymphoma. • The addition of DWI to the WB-MRI protocol in early response assessment and restaging of paediatric Hodgkin's lymphoma improved agreement with the [18F]FDG-PET/CT-based reference standard. • WB-MRI including DWI agreed with the reference standard in respectively 65% and 69% of the patients for early response assessment and restaging.
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Affiliation(s)
- Suzanne Spijkers
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands.
| | - Annemieke S Littooij
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Medical Imaging Centre, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Auke Beishuizen
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
- Department of Paediatric Oncology/Haematology, Erasmus Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Marrie C A Bruin
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Goya Enríquez
- Department of Pediatric Radiology, University Hospital Vall d'Hebron, Institut de Recerca Vall d'Hebron, Barcelona, Spain
| | - Constantino Sábado
- Department of Paediatric Oncology and Haematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Elka Miller
- Department of Medical Imaging, CHEO, University of Ottawa, Ottawa, Canada
| | - Claudio Granata
- Department of Radiology, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Charlotte de Lange
- Department of Diagnostic Imaging and Intervention, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Federico Verzegnassi
- Oncohematology Unit, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Bart de Keizer
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Rutger A J Nievelstein
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
- Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
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20
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Baratto L, Hawk KE, States L, Qi J, Gatidis S, Kiru L, Daldrup-Link HE. PET/MRI Improves Management of Children with Cancer. J Nucl Med 2021; 62:1334-1340. [PMID: 34599010 PMCID: PMC8724894 DOI: 10.2967/jnumed.120.259747] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 05/21/2021] [Indexed: 01/11/2023] Open
Abstract
Integrated PET/MRI has shown significant clinical value for staging and restaging of children with cancer by providing functional and anatomic tumor evaluation with a 1-stop imaging test and with up to 80% reduced radiation exposure compared with 18F-FDG PET/CT. This article reviews clinical applications of 18F-FDG PET/MRI that are relevant for pediatric oncology, with particular attention to the value of PET/MRI for patient management. Early adopters from 4 different institutions share their insights about specific advantages of PET/MRI technology for the assessment of young children with cancer. We discuss how whole-body PET/MRI can be of value in the evaluation of certain anatomic regions, such as soft tissues and bone marrow, as well as specific PET/MRI interpretation hallmarks in pediatric patients. We highlight how whole-body PET/MRI can improve the clinical management of children with lymphoma, sarcoma, and neurofibromatosis, by reducing the number of radiologic examinations needed (and consequently the radiation exposure), without losing diagnostic accuracy. We examine how PET/MRI can help in differentiating malignant tumors versus infectious or inflammatory diseases. Future research directions toward the use of PET/MRI for treatment evaluation of patients undergoing immunotherapy and assessment of different theranostic agents are also briefly explored. Lessons learned from applications in children might also be extended to evaluations of adult patients.
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Affiliation(s)
- Lucia Baratto
- Department of Radiology, Stanford University, Stanford, California
| | - K Elizabeth Hawk
- Department of Radiology, Stanford University, Stanford, California
| | - Lisa States
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jing Qi
- Department of Radiology, Children's Wisconsin, Milwaukee, Wisconsin
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; and
| | - Louise Kiru
- Department of Radiology, Stanford University, Stanford, California
| | - Heike E Daldrup-Link
- Department of Radiology, Stanford University, Stanford, California;
- Department of Pediatrics, Stanford University, Stanford, California
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21
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Abstract
PET/MR imaging is in routine clinical use and is at least as effective as PET/CT for oncologic and neurologic studies with advantages with certain PET radiopharmaceuticals and applications. In addition, whole body PET/MR imaging substantially reduces radiation dosages compared with PET/CT which is particularly relevant to pediatric and young adult population. For cancer imaging, assessment of hepatic, pelvic, and soft-tissue malignancies may benefit from PET/MR imaging. For neurologic imaging, volumetric brain MR imaging can detect regional volume loss relevant to cognitive impairment and epilepsy. In addition, the single-bed position acquisition enables dynamic brain PET imaging without extending the total study length which has the potential to enhance the diagnostic information from PET.
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Affiliation(s)
- Farshad Moradi
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA.
| | - Andrei Iagaru
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA
| | - Jonathan McConathy
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, JT 773, Birmingham, AL 35249, USA
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Chodyla M, Demircioglu A, Schaarschmidt BM, Bertram S, Morawitz J, Bauer S, Podleska L, Rischpler C, Forsting M, Herrmann K, Umutlu L, Grueneisen J. Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas. Cancers (Basel) 2021; 13:cancers13112753. [PMID: 34206128 PMCID: PMC8199532 DOI: 10.3390/cancers13112753] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 05/25/2021] [Accepted: 05/27/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND To evaluate the potential of simultaneously acquired 18F-FDG PET- and MR-derived quantitative imaging data sets of primary soft-tissue sarcomas for the prediction of neoadjuvant treatment response, the metastatic status and tumor grade. METHODS A total of 52 patients with a high-risk soft-tissue sarcoma underwent a 18F-FDG PET/MR examination within one week before the start of neoadjuvant treatment. For each patient, the maximum tumor size, metabolic activity (SUVs), and diffusion-restriction (ADC values) of the tumor manifestations were determined. A Mann-Whitney-U test was used, and ROC analysis was performed to evaluate the potential to predict histopathological treatment response, the metastatic status or tumor grade. The results from the histopathological analysis served as reference standard. RESULTS Soft-tissue sarcomas with a histopathological treatment response revealed a significantly higher metabolic activity than tumors in the non-responder group. In addition, grade 3 tumors showed a significant higher 18F-FDG uptake than grade 2 tumors. Furthermore, no significant correlation between the different outcome variables and tumor size or calculated ADC-values could be identified. CONCLUSION Measurements of the metabolic activity of primary and untreated soft-tissue sarcomas could non-invasively deliver relevant information that may be used for treatment planning and risk-stratification of high-risk sarcoma patients in a pretherapeutic setting.
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Affiliation(s)
- Michal Chodyla
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
| | - Aydin Demircioglu
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
| | - Benedikt M. Schaarschmidt
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
| | - Stefanie Bertram
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany;
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, University Hospital Dusseldorf, University of Dusseldorf, 40225 Dusseldorf, Germany;
| | - Sebastian Bauer
- Sarcoma Center, Western German Cancer Center, University of Duisburg-Essen, 45147 Essen, Germany;
| | - Lars Podleska
- Sarcoma Surgery Division, Department of General, Visceral and Transplantation Surgery, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany;
| | - Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Michael Forsting
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
| | - Johannes Grueneisen
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.C.); (A.D.); (B.M.S.); (M.F.); (L.U.)
- Correspondence: ; Tel.: +49-(0)201/723-1501
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23
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Husseini JS, Amorim BJ, Torrado-Carvajal A, Prabhu V, Groshar D, Umutlu L, Herrmann K, Cañamaque LG, Garzón JRG, Palmer WE, Heidari P, Shih TTF, Sosna J, Matushita C, Cerci J, Queiroz M, Muglia VF, Nogueira-Barbosa MH, Borra RJH, Kwee TC, Glaudemans AWJM, Evangelista L, Salvatore M, Cuocolo A, Soricelli A, Herold C, Laghi A, Mayerhoefer M, Mahmood U, Catana C, Daldrup-Link HE, Rosen B, Catalano OA. An international expert opinion statement on the utility of PET/MR for imaging of skeletal metastases. Eur J Nucl Med Mol Imaging 2021; 48:1522-1537. [PMID: 33619599 PMCID: PMC8240455 DOI: 10.1007/s00259-021-05198-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/10/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND MR is an important imaging modality for evaluating musculoskeletal malignancies owing to its high soft tissue contrast and its ability to acquire multiparametric information. PET provides quantitative molecular and physiologic information and is a critical tool in the diagnosis and staging of several malignancies. PET/MR, which can take advantage of its constituent modalities, is uniquely suited for evaluating skeletal metastases. We reviewed the current evidence of PET/MR in assessing for skeletal metastases and provided recommendations for its use. METHODS We searched for the peer reviewed literature related to the usage of PET/MR in the settings of osseous metastases. In addition, expert opinions, practices, and protocols of major research institutions performing research on PET/MR of skeletal metastases were considered. RESULTS Peer-reviewed published literature was included. Nuclear medicine and radiology experts, including those from 13 major PET/MR centers, shared the gained expertise on PET/MR use for evaluating skeletal metastases and contributed to a consensus expert opinion statement. [18F]-FDG and non [18F]-FDG PET/MR may provide key advantages over PET/CT in the evaluation for osseous metastases in several primary malignancies. CONCLUSION PET/MR should be considered for staging of malignancies where there is a high likelihood of osseous metastatic disease based on the characteristics of the primary malignancy, hight clinical suspicious and in case, where the presence of osseous metastases will have an impact on patient management. Appropriate choice of tumor-specific radiopharmaceuticals, as well as stringent adherence to PET and MR protocols, should be employed.
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Affiliation(s)
- Jad S Husseini
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Bárbara Juarez Amorim
- Division of Nuclear Medicine, Department of Radiology, School of Medical Sciences,, State University of Campinas, Campinas, Brazil
| | - Angel Torrado-Carvajal
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Medical Image Analysis and Biometry Laboratory, Universidad Rey Juan Carlos, Madrid, Spain
| | - Vinay Prabhu
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | - David Groshar
- Department of Nuclear Medicine, Assuta Medical Center, Tel Aviv, and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Lina García Cañamaque
- Department of Nuclear Medicine, Hospital Universitario Madrid Sanchinarro, Madrid, Spain
| | | | - William E Palmer
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Pedram Heidari
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Tiffany Ting-Fang Shih
- Department of Radiology and Medical Imaging, National Taiwan University College of Medicine and Hospital, Taipei City, Taiwan
| | - Jacob Sosna
- Department of Radiology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Cristina Matushita
- Department of Nuclear Medicine, Hospital São Lucas of Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Juliano Cerci
- Department of Nuclear Medicine, Quanta Diagnóstico Nuclear, Curitiba, Brazil
| | - Marcelo Queiroz
- Department of Radiology and Oncology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Valdair Francisco Muglia
- Department of Medical Images, Radiation Therapy and Oncohematology, Ribeirao Preto Medical School, Hospital Clinicas, University of São Paulo, Ribeirão Prêto, Brazil
| | - Marcello H Nogueira-Barbosa
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School. University of São Paulo (USP), Ribeirão Prêto, Brazil
| | - Ronald J H Borra
- Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura Evangelista
- Department of Clinical and Experimental Medicine, University of Padova, Padua, Italy
| | - Marco Salvatore
- Department of Radiology and Nuclear Medicine, Università Suor Orsola Benincasa di Napoli, Naples, Italy
- Department of Radiology and Nuclear Medicine, Institute for Hospitalization and Healthcare (IRCCS) SDN, Istituto di Ricerca, Naples, Italy
| | - Alberto Cuocolo
- Department of Radiology and Nuclear Medicine, Institute for Hospitalization and Healthcare (IRCCS) SDN, Istituto di Ricerca, Naples, Italy
- Department of Advanced Biomedical Science, University of Naples Federico II, Naples, Italy
| | - Andrea Soricelli
- Department of Radiology and Nuclear Medicine, Institute for Hospitalization and Healthcare (IRCCS) SDN, Istituto di Ricerca, Naples, Italy
- Department of Movement and Wellness Sciences, Parthenope University of Naples, Naples, Italy
| | - Christian Herold
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria
| | - Andrea Laghi
- Department of Radiology, University of Rome "La Sapienza", Rome, Italy
| | - Marius Mayerhoefer
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umar Mahmood
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Bruce Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Onofrio A Catalano
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
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Response-Assessment von pädiatrischen Malignomen mit der Ganzkörper-MRT und der FDG-PET/MRT. ROFO-FORTSCHR RONTG 2021. [DOI: 10.1055/a-1242-0257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Igrec J, Fuchsjäger MH. Imaging of Bone Sarcomas and Soft-Tissue Sarcomas. ROFO-FORTSCHR RONTG 2021; 193:1171-1182. [PMID: 33772487 DOI: 10.1055/a-1401-0215] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND In the diagnosis of bone and soft-tissue sarcomas, the continuous advancement of various imaging modalities has improved the detection of small lesions, surgical planning, assessment of chemotherapeutic effects, and, importantly, guidance for surgery or biopsy. METHOD This review was composed based on a PubMed literature search for the terms "bone sarcoma," "bone cancer" and "soft tissue sarcoma," "imaging," "magnetic resonance imaging", "computed tomography", "ultrasound", "radiography", and "radiomics" covering the publication period 2005-2020. RESULTS AND CONCLUSION As discussed in this review, radiography, ultrasound, CT, and MRI all play key roles in the imaging evaluation of bone and soft-tissue sarcomas. In daily practice, advanced MRI techniques complement standard MRI but remain underused, as they are considered time-consuming, technically challenging, and not reliable enough to replace biopsy and histology. PET/MRI and radiomics have shown promise regarding the imaging of sarcomas in the future. KEY POINTS · Radiographs remain crucial in diagnostic imaging algorithms for sarcomas.. · US is an initial imaging study for the evaluation of superficial soft-tissue tumors.. · The role of CT continues to evolve as new techniques emerge.. · MRI allows the noninvasive evaluation of soft-tissue, osseous, and articular structures.. · Machine learning methods could improve personalized selection of therapy for patients with sarcoma.. CITATION FORMAT · Igrec J, Fuchsjäger MH. Imaging of Bone and Soft-Tissue Sarcomas. Fortschr Röntgenstr 2021; 193: 1171 - 1182.
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Affiliation(s)
- Jasminka Igrec
- Division of General Radiological Diagnostics, Department of Radiology, Hospital of the Federal State of Styria and University Hospital Graz, Austria
| | - Michael H Fuchsjäger
- Division of General Radiological Diagnostics, Department of Radiology, Hospital of the Federal State of Styria and University Hospital Graz, Austria
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Wang YRJ, Baratto L, Hawk KE, Theruvath AJ, Pribnow A, Thakor AS, Gatidis S, Lu R, Gummidipundi SE, Garcia-Diaz J, Rubin D, Daldrup-Link HE. Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure. Eur J Nucl Med Mol Imaging 2021; 48:2771-2781. [PMID: 33527176 DOI: 10.1007/s00259-021-05197-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/10/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE To generate diagnostic 18F-FDG PET images of pediatric cancer patients from ultra-low-dose 18F-FDG PET input images, using a novel artificial intelligence (AI) algorithm. METHODS We used whole-body 18F-FDG-PET/MRI scans of 33 children and young adults with lymphoma (3-30 years) to develop a convolutional neural network (CNN), which combines inputs from simulated 6.25% ultra-low-dose 18F-FDG PET scans and simultaneously acquired MRI scans to produce a standard-dose 18F-FDG PET scan. The image quality of ultra-low-dose PET scans, AI-augmented PET scans, and clinical standard PET scans was evaluated by traditional metrics in computer vision and by expert radiologists and nuclear medicine physicians, using Wilcoxon signed-rank tests and weighted kappa statistics. RESULTS The peak signal-to-noise ratio and structural similarity index were significantly higher, and the normalized root-mean-square error was significantly lower on the AI-reconstructed PET images compared to simulated 6.25% dose images (p < 0.001). Compared to the ground-truth standard-dose PET, SUVmax values of tumors and reference tissues were significantly higher on the simulated 6.25% ultra-low-dose PET scans as a result of image noise. After the CNN augmentation, the SUVmax values were recovered to values similar to the standard-dose PET. Quantitative measures of the readers' diagnostic confidence demonstrated significantly higher agreement between standard clinical scans and AI-reconstructed PET scans (kappa = 0.942) than 6.25% dose scans (kappa = 0.650). CONCLUSIONS Our CNN model could generate simulated clinical standard 18F-FDG PET images from ultra-low-dose inputs, while maintaining clinically relevant information in terms of diagnostic accuracy and quantitative SUV measurements.
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Affiliation(s)
- Yan-Ran Joyce Wang
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - K Elizabeth Hawk
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - Ashok J Theruvath
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - Allison Pribnow
- Department of Pediatrics, Pediatric Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA
| | - Avnesh S Thakor
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Rong Lu
- Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - Santosh E Gummidipundi
- Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - Jordi Garcia-Diaz
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA
| | - Daniel Rubin
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA. .,Department of Pediatrics, Pediatric Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA.
| | - Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA. .,Department of Pediatrics, Pediatric Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA.
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Cancer Detection and Quantification of Treatment Response Using Diffusion-Weighted MRI. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00068-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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