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Vulasala SS, Virarkar M, Gopireddy D, Waters R, Alkhasawneh A, Awad Z, Maxwell J, Ramani N, Kumar S, Onteddu N, Morani AC. Small Bowel Neuroendocrine Neoplasms-A Review. J Comput Assist Tomogr 2023:00004728-990000000-00270. [PMID: 38110305 DOI: 10.1097/rct.0000000000001541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
ABSTRACT Neuroendocrine neoplasms (NENs) are rapidly evolving small bowel tumors, and the patients are asymptomatic at the initial stages. Metastases are commonly observed at the time of presentation and diagnosis. This review addresses the small bowel NEN (SB-NEN) and its molecular, histological, and imaging features, which aid diagnosis and therapy guidance. Somatic cell number alterations and epigenetic mutations are studied to be responsible for sporadic and familial SB-NEN. The review also describes the grading of SB-NEN in addition to rare histological findings such as mixed neuroendocrine-non-NENs. Anatomic and nuclear imaging with conventional computed tomography, magnetic resonance imaging, computed tomographic enterography, and positron emission tomography are adopted in clinical practice for diagnosing, staging, and follow-up of NEN. Along with the characteristic imaging features of SB-NEN, the therapeutic aspects of imaging, such as peptide receptor radionuclide therapy, are discussed in this review.
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Affiliation(s)
- Sai Swarupa Vulasala
- From the Department of Radiology, University of Florida College of Medicine, Jacksonville
| | - Mayur Virarkar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL
| | - Dheeraj Gopireddy
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL
| | - Rebecca Waters
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Ziad Awad
- Surgery, University of Florida College of Medicine, Jacksonville, FL
| | - Jessica Maxwell
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center
| | - Nisha Ramani
- Department of Pathology, Michael E. DeBakey VA Medical Center, Houston, TX
| | - Sindhu Kumar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL
| | - Nirmal Onteddu
- Department of Internal Medicine, University of Florida College of Medicine, Jacksonville, FL
| | - Ajaykumar C Morani
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX
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Duncan ZN, Summerlin D, West JT, Packard AT, Morgan DE, Galgano SJ. PET/MRI for evaluation of patients with pancreatic cancer. Abdom Radiol (NY) 2023; 48:3601-3609. [PMID: 37191756 DOI: 10.1007/s00261-023-03943-9] [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: 02/17/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/17/2023]
Abstract
Pancreatic cancers are the third leading cause of cancer-related death in the USA and outcomes remain poor despite improvements in imaging and treatment paradigms. Currently, computed tomography (CT) and magnetic resonance imaging (MRI) are frequently utilized for staging and restaging of these malignancies, but positron emission tomography (PET)/CT can play a role in troubleshooting and improve whole-body staging. PET/MRI is a novel imaging modality that allows for simultaneous acquisition of PET and MRI images, leading to improved image quality and potential increased sensitivity. Early studies suggest that PET/MRI may play a larger role in pancreatic cancer imaging in future. This manuscript will briefly discuss current imaging approaches to pancreatic cancer and outline existing evidence and published data supporting the use of PET/MRI for pancreatic cancers.
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Affiliation(s)
- Zoey N Duncan
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - David Summerlin
- Department of Radiology, University of Alabama at Birmingham Medical Center, Birmingham, AL, USA
| | - Janelle T West
- Department of Radiology, University of Alabama at Birmingham Medical Center, Birmingham, AL, USA
| | | | - Desiree E Morgan
- Department of Radiology, University of Alabama at Birmingham Medical Center, Birmingham, AL, USA
| | - Samuel J Galgano
- Department of Radiology, University of Alabama at Birmingham Medical Center, Birmingham, AL, USA.
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Lens G, Ahmadi Bidakhvidi N, Vandecaveye V, Grauwels S, Laenen A, Deckers W, Peeters R, Dresen RC, Dekervel J, Verslype C, Nackaerts K, Clement PM, Van Cutsem E, Koole M, Goffin K, Van Laere K, Deroose CM. Intra-individual qualitative and quantitative comparison of [ 68Ga]Ga-DOTATATE PET/CT and PET/MRI. Ther Adv Med Oncol 2023; 15:17588359231189133. [PMID: 37885461 PMCID: PMC10599114 DOI: 10.1177/17588359231189133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/04/2023] [Indexed: 10/28/2023] Open
Abstract
Background Somatostatin receptor (SSTR) positron emission tomography (PET) is a cornerstone of neuroendocrine tumor (NET) management. Hybrid PET/magnetic resonance imaging (MRI) is now available for NET-imaging, next to PET/computed tomography (CT). Objectives To determine whether CT or MRI is the best hybrid partner for [68Ga]Ga-DOTATATE PET. Design Monocentric, prospective study. Methods Patients received a same-day [68Ga]Ga-DOTATATE PET/CT and subsequent PET/MRI, for suspicion of NET, (re)staging or peptide receptor radionuclide therapy-selection. The union (PETunion) of malignant lesions detected on PETCT and PETMRI was the reference standard. Concordance of detection of malignant lesions in an organ was measured between PETunion and CT and PETunion and MRI. Seven bins were used to categorize the number of malignant lesions, containing following ordinal variables: 0, 1, 2-5, 6-10, 11-20, >20 countable and diffuse/uncountable. The difference in number of malignant lesions was obtained as the difference in bin level ('Δbin') between PETunion and CT and PETunion and MRI with a Δbin closer to zero implying a higher concordance rate. Results Twenty-nine patients were included. Primary tumors included 17 gastroenteropancreatic-NETs, 1 colon neuroendocrine carcinoma, 7 lung-NETs and 2 meningiomas. Patient level concordance with PETunion was 96% for MRI and 67% for CT (p = 0.039). Organ level concordance with PETunion was 74% for MRI and 40% for CT (p < 0.0001). In bone, there was a higher concordance rate for MRI compared to CT, 92% and 33%, respectively (p = 0.016). Overall, a mean Δbin of 0.5 ± 1.1 for PETunion/MRI and 1.4 ± 1.2 for PETunion/CT (p < 0.0001) was noted. In liver, a mean Δbin of 0.0 ± 1.1 for PETunion/MRI and 1.7 ± 1.2 for PETunion/CT was observed (p = 0.0078). In bone, a mean Δbin closer to zero was observed for PETunion/MRI compared to PETunion/CT, 0.6 ± 1.4 and 2.0 ± 1.5, respectively (p = 0.0098). Conclusions Compared to SSTR PET/CT, SSTR PET/MRI had a higher patient and organ level concordance for malignant tumoral involvement and number of malignant lesions, with a clear added value in bone and liver specifically.
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Affiliation(s)
- Géraldine Lens
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Niloefar Ahmadi Bidakhvidi
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | | | - Annouschka Laenen
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Leuven, Belgium
| | - Wies Deckers
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | | | | | - Jeroen Dekervel
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Chris Verslype
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | | | - Paul M. Clement
- General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Eric Van Cutsem
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Karolien Goffin
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Christophe M. Deroose
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Herestraat 49, 3000 Leuven, Flanders, Belgium
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