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Vulasala SS, Virarkar M, Karbasian N, Calimano-Ramirez LF, Daoud T, Amini B, Bhosale P, Javadi S. Whole-body MRI in oncology: A comprehensive review. Clin Imaging 2024; 108:110099. [PMID: 38401295 DOI: 10.1016/j.clinimag.2024.110099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 02/26/2024]
Abstract
Whole-Body Magnetic Resonance Imaging (WB-MRI) has cemented its position as a pivotal tool in oncological diagnostics. It offers unparalleled soft tissue contrast resolution and the advantage of sidestepping ionizing radiation. This review explores the diverse applications of WB-MRI in oncology. We discuss its transformative role in detecting and diagnosing a spectrum of cancers, emphasizing conditions like multiple myeloma and cancers with a proclivity for bone metastases. WB-MRI's capability to encompass the entire body in a singular scan has ushered in novel paradigms in cancer screening, especially for individuals harboring hereditary cancer syndromes or at heightened risk for metastatic disease. Additionally, its contribution to the clinical landscape, aiding in the holistic management of multifocal and systemic malignancies, is explored. The article accentuates the technical strides achieved in WB-MRI, its myriad clinical utilities, and the challenges in integration into standard oncological care. In essence, this review underscores the transformative potential of WB-MRI, emphasizing its promise as a cornerstone modality in shaping the future trajectory of cancer diagnostics and treatment.
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Affiliation(s)
- Sai Swarupa Vulasala
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States.
| | - Mayur Virarkar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States
| | - Niloofar Karbasian
- Department of Radiology, McGovern Medical School at University of Texas Health Houston, Houston, TX, United States
| | - Luis F Calimano-Ramirez
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States
| | - Taher Daoud
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Behrang Amini
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Priya Bhosale
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sanaz Javadi
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Hu YS, Wu CA, Lin DC, Lin PW, Lee HJ, Lin LY, Lin CJ. Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals. Cancer Imaging 2024; 24:22. [PMID: 38326850 PMCID: PMC10848416 DOI: 10.1186/s40644-024-00665-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] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 01/20/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Whole-body magnetic resonance imaging (WB-MRI) has emerged as a valuable tool for cancer detection. This study evaluated the prevalence rates of cancer in asymptomatic individuals undergoing WB-MRI according to the Oncologically Relevant Findings Reporting and Data System (ONCO-RADS) classifications in order to assess the reliability of the classification method. METHODS We retrospectively enrolled 2064 asymptomatic individuals who participated in a WB-MRI cancer screening program between 2017 and 2022. WB-MRI was acquired on a 3-T system with a standard protocol, including regional multisequence and gadolinium-based contrast agent-enhanced oncologic MRI. Results of further examinations, including additional imaging and histopathology examinations, performed at our institute were used to validate the WB-MRI findings. Two radiologists blinded to the clinical outcome classified the WB-MRI findings according to the ONCO-RADS categories as follows: 1 (normal), 2 (benign finding highly likely), 3 (benign finding likely), 4 (malignant finding likely), and 5 (malignant finding highly likely). Firth logistic regression analysis was performed to determine the associations between participant characteristics and findings of ONCO-RADS category ≥ 4. RESULTS Of the 2064 participants with median age of 55 years, 1120 (54.3%) were men, 43 (2.1%) had findings of ONCO-RADS category ≥ 4, and 24 (1.2%) had confirmed cancer. The cancer prevalence rates were 0.1%, 5.4%, 42.9%, and 75% for ONCO-RADS categories 2, 3, 4, and 5, respectively. In the multivariable model, older age (OR: 1.035, p = 0.029) and history of hypertension (OR: 2.051, p = 0.026), hepatitis B carrier (OR: 2.584, p = 0.013), or prior surgery (OR: 3.787, p < 0.001) were independently associated with the findings for ONCO-RADS category ≥ 4. CONCLUSIONS The ONCO-RADS categories for cancer risk stratification were validated and found to be positively correlated with cancer risk. The application of ONCO-RADS facilitates risk-based management after WB-MRI for cancer screening.
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Affiliation(s)
- Yong-Sin Hu
- Department of Radiology, Taipei Hospital, Ministry of Health and Welfare, New Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chia-An Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Radiology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Dao-Chen Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Endocrine and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Po-Wei Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Han-Jui Lee
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Lo-Yi Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chung-Jung Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
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Karaarslan E, Alis D, Basar Y, Kumbasar B, Kalayci CB, Alpan B, Ozger H. The Role of Whole-Body Magnetic Resonance Imaging in Assessing Extrapulmonary Metastases in Osteosarcoma Staging and Restaging: A Pilot Study. J Comput Assist Tomogr 2023:00004728-990000000-00148. [PMID: 36944103 DOI: 10.1097/rct.0000000000001455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
OBJECTIVE The aim of the study is to investigate the role of whole-body magnetic resonance imaging (MRI) in assessing extrapulmonary metastases in primary osteosarcoma staging. METHODS We retrospectively reviewed medical data to identify primary osteosarcoma patients with available preoperative whole-body MRI obtained in the staging or restaging. Histopathology was the reference test for assessing the diagnostic performance, if available. Otherwise, oncology board decisions were used as the reference. In addition, the benefits of whole-body MRI to F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) and bone scintigraphy were investigated. RESULTS In all, 36 patients with osteosarcoma (24 staging, 12 restaging) with a mean age of 16.36 ± 5.63 years (range, 9-29 years) were included in the study. The median follow-up duration was 26.61 months (interquartile range, 33.3 months). Of 36 patients, 8 had skeletal, 1 had a lymph node, and 1 had a subcutaneous metastasis. Whole-body MRI correctly identified all patients with metastatic disease but incorrectly classified a bone infarct in one patient as a skeletal metastasis, equating a scan-level sensitivity, specificity, accuracy, negative predictive value, and positive predictive value of 100%, 96.3%, 97.3%, 100%, and 90.91%. Whole-body MRI contributed to bone scintigraphy by identifying a skeletal metastasis in one patient and positron emission tomography-computed tomography by ruling out a skeletal metastasis in another. CONCLUSIONS Whole-body MRI could accurately identify extrapulmonary metastases in primary osteosarcoma patients for staging or restaging. In addition, it might contribute to the standard whole-body imaging methods.
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Affiliation(s)
- Ercan Karaarslan
- From the Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine
| | - Deniz Alis
- From the Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine
| | - Yeliz Basar
- Department of Radiology, Acibadem Healthcare Group
| | | | | | - Bugra Alpan
- Department of Orthopedics and Traumatology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey
| | - Harzem Ozger
- Department of Orthopedics and Traumatology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey
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Granata V, Faggioni L, Grassi R, Fusco R, Reginelli A, Rega D, Maggialetti N, Buccicardi D, Frittoli B, Rengo M, Bortolotto C, Prost R, Lacasella GV, Montella M, Ciaghi E, Bellifemine F, De Muzio F, Grazzini G, De Filippo M, Cappabianca S, Laghi A, Grassi R, Brunese L, Neri E, Miele V, Coppola F. Structured reporting of computed tomography in the staging of colon cancer: a Delphi consensus proposal. LA RADIOLOGIA MEDICA 2022; 127:21-29. [PMID: 34741722 PMCID: PMC8795004 DOI: 10.1007/s11547-021-01418-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/28/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports in colon cancer during the staging phase in order to improve communication between the radiologist, members of multidisciplinary teams and patients. MATERIALS AND METHODS A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. Cronbach's alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation. RESULTS The final SR version was built by including n = 18 items in the "Patient Clinical Data" section, n = 7 items in the "Clinical Evaluation" section, n = 9 items in the "Imaging Protocol" section and n = 29 items in the "Report" section. Overall, 63 items were included in the final version of the SR. Both in the first and second round, all sections received a higher than good rating: a mean value of 4.6 and range 3.6-4.9 in the first round; a mean value of 5.0 and range 4.9-5 in the second round. In the first round, Cronbach's alpha (Cα) correlation coefficient was a questionable 0.61. In the first round, the overall mean score of the experts and the sum of scores for the structured report were 4.6 (range 1-5) and 1111 (mean value 74.07, STD 4.85), respectively. In the second round, Cronbach's alpha (Cα) correlation coefficient was an acceptable 0.70. In the second round, the overall mean score of the experts and the sum of score for structured report were 4.9 (range 4-5) and 1108 (mean value 79.14, STD 1.83), respectively. The overall mean score obtained by the experts in the second round was higher than the overall mean score of the first round, with a lower standard deviation value to underline greater agreement among the experts for the structured report reached in this round. CONCLUSIONS A wide implementation of SR is of critical importance in order to offer referring physicians and patients optimum quality of service and to provide researchers with the best quality data in the context of big data exploitation of available clinical data. Implementation is a complex procedure, requiring mature technology to successfully address the multiple challenges of user-friendliness, organization and interoperability.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, “Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy
| | - Lorenzo Faggioni
- Department of Translational Research, University of Pisa, Pisa, Italy
| | - Roberta Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | | | - Alfonso Reginelli
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | - Daniela Rega
- Division of Colorectal Surgery, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS Di Napoli, 80131 Naples, Italy
| | - Nicola Maggialetti
- Section of Radiodiagnostic, DSMBNOS, “Aldo Moro” University, Bari, Italy
| | | | - Barbara Frittoli
- Department of Radiology, Spedali Civili Hospital of Brescia, University of Brescia, Brescia, Italy
| | - Marco Rengo
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome - I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100 Latina, Italy
| | - Chandra Bortolotto
- Department of Radiology, I.R.C.C.S. Policlinico San Matteo Foundation, Pavia, Italy
| | - Roberto Prost
- Radiology Unit, Azienda Ospedaliera Brotzu, Cagliari, Italy
| | - Giorgia Viola Lacasella
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | - Marco Montella
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | | | | | - Federica De Muzio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Via Francesco De Sanctis 1, 86100 Campobasso, Italy
| | - Giulia Grazzini
- Division of Radiology, “Azienda Ospedaliera Universitaria Careggi”, Florence, Italy
| | - Massimo De Filippo
- Department of Medicine and Surgery, Unit of Radiologic Science, University of Parma, Maggiore Hospital, Parma, Italy
| | - Salvatore Cappabianca
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome-Sant’Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189 Rome, Italy
| | - Roberto Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy
- Division of Radiology, “Università Degli Studi Della Campania Luigi Vanvitelli”, Naples, Italy
| | - Luca Brunese
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Via Francesco De Sanctis 1, 86100 Campobasso, Italy
| | - Emanuele Neri
- Department of Translational Research, University of Pisa, Pisa, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy
- Division of Radiology, “Azienda Ospedaliera Universitaria Careggi”, Florence, Italy
| | - Francesca Coppola
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
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Petralia G, Zugni F, Summers PE, Colombo A, Pricolo P, Grazioli L, Colagrande S, Giovagnoni A, Padhani AR. Whole-body magnetic resonance imaging (WB-MRI) for cancer screening: recommendations for use. Radiol Med 2021; 126:1434-1450. [PMID: 34338948 PMCID: PMC8558201 DOI: 10.1007/s11547-021-01392-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/25/2021] [Indexed: 02/06/2023]
Abstract
Whole-body magnetic resonance imaging (WB-MRI) is currently recommended for cancer screening in adult and paediatric subjects with cancer predisposition syndromes, representing a substantial aid for prolonging health and survival of these subjects with a high oncological risk. Additionally, the number of studies exploring the use of WB-MRI for cancer screening in asymptomatic subjects from the general population is growing. The primary aim of this review was to analyse the acquisition protocols found in the literature, in order to identify common sequences across published studies and to discuss the need of additional ones for specific populations. The secondary aim of this review was to provide a synthesis of current recommendations regarding the use of WB-MRI for cancer screening.
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Affiliation(s)
- Giuseppe Petralia
- Precision Imaging and Research Unit, Department of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy.
- Department of Oncology and Hematology, University of Milan, Milan, Italy.
| | - Fabio Zugni
- Division of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Paul E Summers
- Division of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Alberto Colombo
- Division of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Paola Pricolo
- Division of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Luigi Grazioli
- First Department of Radiology, Civic and University Hospital of Brescia, Brescia, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit N. 2, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Ospedali Riuniti, Università Politecnica Delle Marche, Ancona, Italy
| | - Anwar R Padhani
- Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, UK
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