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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 2024; 48:563-576. [PMID: 38110305 DOI: 10.1097/rct.0000000000001541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 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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Gao J, Zhou J, Liu C, Pan Y, Lin X, Zhang Y. Outcome prediction of SSTR-RADS-3A and SSTR-RADS-3B lesions in patients with neuroendocrine tumors based on 68Ga-DOTATATE PET/MR. J Cancer Res Clin Oncol 2024; 150:272. [PMID: 38795250 PMCID: PMC11127844 DOI: 10.1007/s00432-024-05776-5] [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: 03/04/2024] [Accepted: 05/03/2024] [Indexed: 05/27/2024]
Abstract
PURPOSE Somatostatin receptor (SSTR)-targeted PET imaging has emerged as a common approach to evaluating those patients with well-differentiated neuroendocrine tumors (NETs). The SSTR reporting and data system (SSTR-RADS) version 1.0 provides a means of categorizing lesions from 1 to 5 according to the likelihood of NET involvement, with SSTR-RADS-3A (soft-tissue) and SSTR-RADS-3B (bone) lesions being those suggestive of but without definitive NET involvement. The goal of the present study was to assess the ability of 68Ga-DOTATATE PET/MR imaging data to predict outcomes for indeterminate SSTR-RADS-3A and 3B lesions. METHODS NET patients with indeterminate SSTR-RADS-3A or SSTR-RADS-3B lesions who underwent 68Ga-DOTATATE PET/MR imaging from April 2020 through August 2023 were retrospectively evaluated. All patients underwent follow-up through December 2023 (median, 17 months; (3-31 months)), with imaging follow-up or biopsy findings ultimately being used to classify lesions as malignant or benign. Lesion maximum standardized uptake value (SUVmax) along with minimum and mean apparent diffusion coefficient (ADCmin and ADCmean) values were measured and assessed for correlations with outcomes on follow-up. RESULTS In total, 33 indeterminate SSTR-RADS-3 lesions from 22 patients (19 SSTR-RADS-3A and 14 SSTR-RADS-3B) were identified based upon baseline 68Ga-DOTATATE PET/MR findings. Over the course of follow-up, 16 of these lesions (48.5%) were found to exhibit true NET positivity, including 9 SSTR-RADS-3A and 7 SSTR-RADS-3B lesions. For SSTR-RADS-3A lymph nodes, a diameter larger than 0.7 cm and an ADCmin of 779 × 10-6mm2/s or lower were identified as being more likely to be associated with metastatic lesions. Significant differences in ADCmin and ADCmean were identified when comparing metastatic and non-metastatic SSTR-RADS-3B bone lesions (P < 0.05), with these parameters offering a high predictive ability (AUC = 0.94, AUC = 0.86). CONCLUSION Both diameter and ADCmin can aid in the accurate identification of the nature of lesions associated with SSTR-RADS-3A lymph nodes, whereas ADCmin and ADCmean values can inform the accurate interpretation of SSTR-RADS-3B bone lesions.
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Affiliation(s)
- Jing Gao
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China
| | - Jinxin Zhou
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China
| | - Chang Liu
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China
| | - Yu Pan
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China
| | - Xiaozhu Lin
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China.
| | - Yifan Zhang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China.
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Grawe F, Ebner R, Geyer T, Beyer L, Winkelmann M, Sheikh GT, Eschbach R, Schmid-Tannwald C, Cyran CC, Ricke J, Bartenstein P, Heimer MM, Faggioni L, Spitzweg C, Fabritius MP, Auernhammer CJ, Ruebenthaler J. Validation of the SSTR-RADS 1.0 for the structured interpretation of SSTR-PET/CT and treatment planning in neuroendocrine tumor (NET) patients. Eur Radiol 2023; 33:3416-3424. [PMID: 36964768 PMCID: PMC10121493 DOI: 10.1007/s00330-023-09518-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/16/2023] [Accepted: 02/06/2023] [Indexed: 03/26/2023]
Abstract
OBJECTIVES The recently proposed standardized reporting and data system for somatostatin receptor (SSTR)-targeted PET/CT SSTR-RADS 1.0 showed promising first results in the assessment of diagnosis and treatment planning with peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NET). This study aimed to determine the intra- and interreader agreement of SSTR-RADS 1.0. METHODS SSTR-PET/CT scans of 100 patients were independently evaluated by 4 readers with different levels of expertise according to the SSTR-RADS 1.0 criteria at 2 time points within 6 weeks. For each scan, a maximum of five target lesions were freely chosen by each reader (not more than three lesions per organ) and stratified according to the SSTR-RADS 1.0 criteria. Overall scan score and binary decision on PRRT were assessed. Intra- and interreader agreement was determined using the intraclass correlation coefficient (ICC). RESULTS Interreader agreement using SSTR-RADS 1.0 for identical target lesions (ICC ≥ 0.91) and overall scan score (ICC ≥ 0.93) was excellent. The decision to state "functional imaging fulfills requirements for PRRT and qualifies patient as potential candidate for PRRT" also demonstrated excellent agreement among all readers (ICC ≥ 0.86). Intrareader agreement was excellent even among different experience levels when comparing target lesion-based scores (ICC ≥ 0.98), overall scan score (ICC ≥ 0.93), and decision for PRRT (ICC ≥ 0.88). CONCLUSION SSTR-RADS 1.0 represents a highly reproducible and accurate system for stratifying SSTR-targeted PET/CT scans with high intra- and interreader agreement. The system is a promising approach to standardize the diagnosis and treatment planning in NET patients. KEY POINTS • SSTR-RADS 1.0 offers high reproducibility and accuracy. • SSTR-RADS 1.0 is a promising method to standardize diagnosis and treatment planning for patients with NET.
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Affiliation(s)
- Freba Grawe
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
| | - Ricarda Ebner
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Thomas Geyer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Michael Winkelmann
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Gabriel T Sheikh
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Ralf Eschbach
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Christine Schmid-Tannwald
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Clemens C Cyran
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Maurice M Heimer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Lorenzo Faggioni
- Department of Translational Research, Academic Radiology, University of Pisa, Via Roma, 67, 56126, Pisa, Italy
| | - Christine Spitzweg
- Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Matthias P Fabritius
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Christoph J Auernhammer
- Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Johannes Ruebenthaler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
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