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Xie T, Liu W, Chen L, Zhang Z, Chen Y, Wang Y, Deng W, Tang W, Zhou Z. Head-to-head comparison of contrast-enhanced CT, dual-layer spectral-detector CT, and Gd-EOB-DTPA-enhanced MR in detecting neuroendocrine tumor liver metastases. Eur J Radiol 2024; 181:111710. [PMID: 39241307 DOI: 10.1016/j.ejrad.2024.111710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/27/2024] [Accepted: 08/27/2024] [Indexed: 09/09/2024]
Abstract
PURPOSE To explore the optimal of kiloelectron voltage (keV) of virtual monoenergetic imaging (VMI) of dual-layer spectral-detector CT (DLCT) in detecting neuroendocrine tumor liver metastases (NETLM) and to investigate diagnostic performance of polyenergetic images (PEI), DLCT, and Gd-EOB-DTPA-enhanced MR. METHODS Seventy-two patients with suspected NETLM who underwent DLCT and Gd-EOB-DTPA-enhanced MR were retrospectively enrolled. Tumor signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between PEI and VMI at 40-140 keV. Two radiologists read the CT examinations with and without VMI separately in consensus. Two other radiologists read the Gd-EOB-DTPA-enhanced MR in consensus. The diagnostic performance was evaluated. Reference standard was histopathology, follow-up, and interpretation of all available imaging. RESULTS The highest SNR and CNR were observed at VMI40keV, significantly higher than PEI in the arterial and venous phases (all P<0.01). A total of 477 lesions were identified (396 metastases, 81 benign lesions). Per-lesion AUC was 0.86, 0.91, and 0.97 (PEI, DLCT, and Gd-EOB-DTPA-enhanced MR, respectively). Sensitivity of PEI, DLCT, and Gd-EOB-DTPA-enhanced MRI were 0.76, 0.86, and 0.95, respectively. DLCT significantly improved sensitivity compared to PEI. MR had significantly higher sensitivity than DLCT and PEI. Subgroup analysis demonstrated that the difference in diagnostic performance was concentrated on lesions < 10 mm. CONCLUSION The image quality of VMI40keV is higher than that of PEI. DLCT with VMI40keV provides better diagnostic sensitivity for NETLM detection than PEI. Gd-EOB-DTPA-enhanced MR yielded the best diagnostic performance for NETLM detection.
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Affiliation(s)
- Tiansong Xie
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Liu
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Chen
- Department of Radiology, Fudan University Shanghai Cancer Center (Minhang Campus), Shanghai, China
| | - Zehua Zhang
- Department of Radiology, Fudan University Shanghai Cancer Center (Minhang Campus), Shanghai, China
| | - Yi Chen
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Institute of Medical Imaging, Shanghai, China
| | - Yu Wang
- Clinical & Technical Support, Philips Healthcare, Shanghai, China
| | - Weiwei Deng
- Clinical & Technical Support, Philips Healthcare, Shanghai, China
| | - Wei Tang
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Zhengrong Zhou
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Radiology, Fudan University Shanghai Cancer Center (Minhang Campus), Shanghai, China.
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Tobias J, Keutgen XM. Diagnostics and Imaging for Pancreatic Neuroendocrine Tumors. Surg Clin North Am 2024; 104:883-890. [PMID: 38944506 DOI: 10.1016/j.suc.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
Pancreatic neuroendocrine tumors originate from hormone-producing islet cells and have a propensity to metastasize to the liver once they reach 2 cm in size. Their diagnosis relies upon a combination of computed tomography, MRI, DOTATATE PET, and endoscopic ultrasound with or without tissue biopsy. Biochemical work-up is driven by patient symptoms of hormone excess.
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Affiliation(s)
- Joseph Tobias
- Division of General Surgery and Surgical Oncology, Department of Surgery, University of Chicago Medicine
| | - Xavier M Keutgen
- Division of General Surgery and Surgical Oncology, Department of Surgery, University of Chicago Medicine, 5841 South Maryland Avenue, MC 4052, Chicago, IL 60637, USA.
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3
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Song C, Li W, Cui J, Miao Q, Liu Y, Zhang Z, Nie S, Zhou M, Chai R. Pre-operative prediction of histopathological growth patterns of colorectal cancer liver metastasis using MRI-based radiomic models. Abdom Radiol (NY) 2024:10.1007/s00261-024-04290-z. [PMID: 39069557 DOI: 10.1007/s00261-024-04290-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 07/30/2024]
Abstract
PURPOSE Histopathological growth patterns (HGPs) of colorectal liver metastases (CRLMs) have prognostic value. However, the differentiation of HGPs relies on postoperative pathology. This study aimed to develop a magnetic resonance imaging (MRI)-based radiomic model to predict HGP pre-operatively, following the latest guidelines. METHODS This retrospective study included 93 chemotherapy-naïve patients with CRLMs who underwent contrast-enhanced liver MRI and a partial hepatectomy between 2014 and 2022. Radiomic features were extracted from the tumor zone (RTumor), a 2-mm outer ring (RT+2), a 2-mm inner ring (RT-2), and a combined ring (R2+2) on late arterial phase MRI images. Analysis of variance method (ANOVA) and least absolute shrinkage and selection operator (LASSO) algorithms were used for feature selection. Logistic regression with five-fold cross-validation was used for model construction. Receiver operating characteristic curves, calibrated curves, and decision curve analyses were used to assess model performance. DeLong tests were used to compare different models. RESULTS Twenty-nine desmoplastic and sixty-four non-desmoplastic CRLMs were included. The radiomic models achieved area under the curve (AUC) values of 0.736, 0.906, 0.804, and 0.794 for RTumor, RT-2, RT+2, and R2+2, respectively, in the training cohorts. The AUC values were 0.713, 0.876, 0.785, and 0.777 for RTumor, RT-2, RT+2, and R2+2, respectively, in the validation cohort. RT-2 exhibited the best performance. CONCLUSION The MRI-based radiomic models could predict HGPs in CRLMs pre-operatively.
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Affiliation(s)
- Chunlin Song
- Department of Radiology, First Hospital of China Medical University, 155 Nanjing St, Shenyang, 110001, China
| | - Wenhui Li
- Institute of Cancer Research, First Hospital of China Medical University, Shenyang, China
| | - Jingjing Cui
- Department of Research and Development, United Imaging Intelligence, Beijing, China
| | - Qi Miao
- Department of Radiology, First Hospital of China Medical University, 155 Nanjing St, Shenyang, 110001, China
| | - Yi Liu
- Department of Radiology, Cancer Hospital of China Medical University, Shenyang, China
| | - Zitian Zhang
- Department of Radiology, First Hospital of China Medical University, 155 Nanjing St, Shenyang, 110001, China
| | - Siru Nie
- Department of Pathology, The First Hospital of China Medical University, Shenyang, China
| | - Meihong Zhou
- Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Ruimei Chai
- Department of Radiology, First Hospital of China Medical University, 155 Nanjing St, Shenyang, 110001, China.
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Hesami M, Blake M, Anderson MA, Asmundo L, Kilcoyne A, Najmi Z, Caravan PD, Catana C, Czawlytko C, Esfahani SA, Kambadakone AR, Samir A, McDermott S, Domachevsky L, Ursprung S, Catalano OA. Diagnostic Anatomic Imaging for Neuroendocrine Neoplasms: Maximizing Strengths and Mitigating Weaknesses. J Comput Assist Tomogr 2024; 48:521-532. [PMID: 38657156 PMCID: PMC11245376 DOI: 10.1097/rct.0000000000001615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
ABSTRACT Neuroendocrine neoplasms are a heterogeneous group of gastrointestinal and lung tumors. Their diverse clinical manifestations, variable locations, and heterogeneity present notable diagnostic challenges. This article delves into the imaging modalities vital for their detection and characterization. Computed tomography is essential for initial assessment and staging. At the same time, magnetic resonance imaging (MRI) is particularly adept for liver, pancreatic, osseous, and rectal imaging, offering superior soft tissue contrast. The article also highlights the limitations of these imaging techniques, such as MRI's inability to effectively evaluate the cortical bone and the questioned cost-effectiveness of computed tomography and MRI for detecting specific gastric lesions. By emphasizing the strengths and weaknesses of these imaging techniques, the review offers insights into optimizing their utilization for improved diagnosis, staging, and therapeutic management of neuroendocrine neoplasms.
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Affiliation(s)
- Mina Hesami
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Michael Blake
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Mark A. Anderson
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Luigi Asmundo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Zahra Najmi
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Peter D. Caravan
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ciprian Catana
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Cynthia Czawlytko
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Shadi Abdar Esfahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Avinash R. Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Anthony Samir
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Shaunagh McDermott
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Liran Domachevsky
- Department of Nuclear Medicine, The Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Stephan Ursprung
- Department of Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Onofrio A. Catalano
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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5
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Ursprung S, Zhang ML, Asmundo L, Hesami M, Najmi Z, Cañamaque LG, Shenoy-Bhangle AS, Pierce TT, Mojtahed A, Blake MA, Cochran R, Nikolau K, Harisinghani MG, Catalano OA. An Illustrated Review of the Recent 2019 World Health Organization Classification of Neuroendocrine Neoplasms: A Radiologic and Pathologic Correlation. J Comput Assist Tomogr 2024; 48:601-613. [PMID: 38438338 DOI: 10.1097/rct.0000000000001593] [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: 03/06/2024]
Abstract
ABSTRACT Recent advances in molecular pathology and an improved understanding of the etiology of neuroendocrine neoplasms (NENs) have given rise to an updated World Health Organization classification. Since gastroenteropancreatic NENs (GEP-NENs) are the most common forms of NENs and their incidence has been increasing constantly, they will be the focus of our attention. Here, we review the findings at the foundation of the new classification system, discuss how it impacts imaging research and radiological practice, and illustrate typical and atypical imaging and pathological findings. Gastroenteropancreatic NENs have a highly variable clinical course, which existing classification schemes based on proliferation rate were unable to fully capture. While well- and poorly differentiated NENs both express neuroendocrine markers, they are fundamentally different diseases, which may show similar proliferation rates. Genetic alterations specific to well-differentiated neuroendocrine tumors graded 1 to 3 and poorly differentiated neuroendocrine cancers of small cell and large-cell subtype have been identified. The new tumor classification places new demands and creates opportunities for radiologists to continue providing the clinically most relevant report and on researchers to design projects, which continue to be clinically applicable.
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Affiliation(s)
- Stephan Ursprung
- From the Department of Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - M Lisa Zhang
- Department of Pathology, Massachusetts General Hospital, Boston, MA
| | | | - Mina Hesami
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Zahra Najmi
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | | | | | | | | | - Michael A Blake
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Rory Cochran
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Konstantin Nikolau
- From the Department of Radiology, University Hospital Tuebingen, Tuebingen, Germany
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Sharma A, Muralitharan M, Ramage J, Clement D, Menon K, Srinivasan P, Elmasry M, Reed N, Seager M, Srirajaskanthan R. Current Management of Neuroendocrine Tumour Liver Metastases. Curr Oncol Rep 2024:10.1007/s11912-024-01559-w. [PMID: 38869667 DOI: 10.1007/s11912-024-01559-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE OF REVIEW This article aims to illustrate the current state of investigations and management of liver metastases in patients with Neuroendocrine Neoplasms. Neuroendocrine tumours (NETs) are rising in incidence globally and have become the second most prevalent gastrointestinal malignancy in UK and USA. Frequently, patients have metastatic disease at time of presentation. The liver is the most common site of metastases for gastro-enteropancreatic NETs. Characterisation of liver metastases with imaging is important to ensure disease is not under-staged. RECENT FINDINGS Magnetic resonance imaging and positron emission tomography are now becoming standard of care for imaging liver metastases. There is an increasing armamentarium of therapies available for management of NETs and loco-regional therapy for liver metastases. The data supporting surgical and loco-regional therapy is reviewed with focus on role of liver transplantation. It is important to use appropriate imaging and classification of NET liver metastases. It is key that decisions regarding approach to treatment is undertaken in a multidisciplinary team and that individualised approaches are considered for management of patients with metastatic NETs.
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Affiliation(s)
- Aditya Sharma
- Department of Gastroenterology, King's College Hospital, SE5 9RS, London, U.K
| | | | - John Ramage
- Neuroendocrine Tumour Unit, Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K
| | - Dominique Clement
- Department of Gastroenterology, King's College Hospital, SE5 9RS, London, U.K
- Neuroendocrine Tumour Unit, Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K
| | - Krishna Menon
- Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K
| | - Parthi Srinivasan
- Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K
| | - Mohamed Elmasry
- Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K
| | - Nick Reed
- Department of Oncology, Beatson Centre, G12 0YN, Glasgow, U.K
| | - Matthew Seager
- Department of Radiology, King's College Hospital, SE5 9RS, London, U.K
| | - Rajaventhan Srirajaskanthan
- Department of Gastroenterology, King's College Hospital, SE5 9RS, London, U.K..
- Neuroendocrine Tumour Unit, Institute of Liver Studies, King's College Hospital, SE5 9RS, London, U.K..
- Neuroendocrine Tumour Unit Institute of liver studies, King's College Hospital, SE5 9RS, London, U.K..
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7
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Asmundo L, Rizzetto F, Blake M, Anderson M, Mojtahed A, Bradley W, Shenoy-Bhangle A, Fernandez-del Castillo C, Qadan M, Ferrone C, Clark J, Ambrosini V, Picchio M, Mapelli P, Evangelista L, Leithner D, Nikolaou K, Ursprung S, Fanti S, Vanzulli A, Catalano OA. Advancements in Neuroendocrine Neoplasms: Imaging and Future Frontiers. J Clin Med 2024; 13:3281. [PMID: 38892992 PMCID: PMC11172657 DOI: 10.3390/jcm13113281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 05/23/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
Neuroendocrine neoplasms (NENs) are a diverse group of tumors with varying clinical behaviors. Their incidence has risen due to increased awareness, improved diagnostics, and aging populations. The 2019 World Health Organization classification emphasizes integrating radiology and histopathology to characterize NENs and create personalized treatment plans. Imaging methods like CT, MRI, and PET/CT are crucial for detection, staging, treatment planning, and monitoring, but each of them poses different interpretative challenges and none are immune to pitfalls. Treatment options include surgery, targeted therapies, and chemotherapy, based on the tumor type, stage, and patient-specific factors. This review aims to provide insights into the latest developments and challenges in NEN imaging, diagnosis, and management.
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Affiliation(s)
- Luigi Asmundo
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy;
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - Francesco Rizzetto
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy;
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milan, Italy;
| | - Michael Blake
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - Mark Anderson
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - Amirkasra Mojtahed
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - William Bradley
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - Anuradha Shenoy-Bhangle
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
| | - Carlos Fernandez-del Castillo
- Department of Surgery, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (C.F.-d.C.); (M.Q.)
| | - Motaz Qadan
- Department of Surgery, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (C.F.-d.C.); (M.Q.)
| | - Cristina Ferrone
- Department of Surgery, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA;
| | - Jeffrey Clark
- Department of Oncology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA;
| | - Valentina Ambrosini
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Massarenti 9, 40138 Bologna, Italy; (V.A.); (S.F.)
- Nuclear Medicine, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy
| | - Maria Picchio
- Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy; (M.P.); (P.M.)
| | - Paola Mapelli
- Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy; (M.P.); (P.M.)
| | - Laura Evangelista
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy;
| | - Doris Leithner
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany;
| | - Konstantin Nikolaou
- Department of Radiology, University Hospital Tuebingen, Osianderstraße 5, 72076 Tübingen, Germany; (K.N.); (S.U.)
| | - Stephan Ursprung
- Department of Radiology, University Hospital Tuebingen, Osianderstraße 5, 72076 Tübingen, Germany; (K.N.); (S.U.)
| | - Stefano Fanti
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Massarenti 9, 40138 Bologna, Italy; (V.A.); (S.F.)
- Nuclear Medicine, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy
| | - Angelo Vanzulli
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milan, Italy;
- Department of Oncology and Hemato-Oncology, Università Degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Onofrio Antonio Catalano
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; (M.B.); (M.A.); (A.M.); (W.B.); (A.S.-B.)
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Kumari D, Bruyn ED, Al-Qawasmi F. Imaging for Interventional Radiology Liver-Directed Therapies for Neuroendocrine Liver Metastases. Semin Intervent Radiol 2024; 41:270-277. [PMID: 39165651 PMCID: PMC11333109 DOI: 10.1055/s-0044-1788338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2024]
Abstract
Neuroendocrine tumors are an indolent, heterogeneous group of tumors that primarily arise from the gastropancreatic tract and lungs. Most patients present with liver metastases at the time of diagnosis, which cause significant morbidity and mortality due to excess hormone secretion, bile duct obstruction, and liver damage. A small percentage of these patients are eligible for potential cure through surgical resection. However, interventional radiology provides liver-directed therapies, such as percutaneous ablation, transarterial embolization, chemoembolization, and radioembolization, for palliative care and potential bridging to debulking and surgical resection of neuroendocrine liver metastases. This article aims to provide a brief overview of these liver-directed therapies focusing on the pre-, intra-, and postprocedural imaging findings.
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Affiliation(s)
- Divya Kumari
- Department of Radiology, University of Chicago Medicine, Chicago, Illinois
| | - Elise de Bruyn
- Department of Radiology, University of Chicago Medicine, Chicago, Illinois
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Battistella A, Tacelli M, Mapelli P, Schiavo Lena M, Andreasi V, Genova L, Muffatti F, De Cobelli F, Partelli S, Falconi M. Recent developments in the diagnosis of pancreatic neuroendocrine neoplasms. Expert Rev Gastroenterol Hepatol 2024; 18:155-169. [PMID: 38647016 DOI: 10.1080/17474124.2024.2342837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 04/10/2024] [Indexed: 04/25/2024]
Abstract
INTRODUCTION Pancreatic Neuroendocrine Neoplasms (PanNENs) are characterized by a highly heterogeneous clinical and biological behavior, making their diagnosis challenging. PanNENs diagnostic work-up mainly relies on biochemical markers, pathological examination, and imaging evaluation. The latter includes radiological imaging (i.e. computed tomography [CT] and magnetic resonance imaging [MRI]), functional imaging (i.e. 68Gallium [68 Ga]Ga-DOTA-peptide PET/CT and Fluorine-18 fluorodeoxyglucose [18F]FDG PET/CT), and endoscopic ultrasound (EUS) with its associated procedures. AREAS COVERED This review provides a comprehensive assessment of the recent advancements in the PanNENs diagnostic field. PubMed and Embase databases were used for the research, performed from inception to October 2023. EXPERT OPINION A deeper understanding of PanNENs biology, recent technological improvements in imaging modalities, as well as progresses achieved in molecular and cytological assays, are fundamental players for the achievement of early diagnosis and enhanced preoperative characterization of PanNENs. A multimodal diagnostic approach is required for a thorough disease assessment.
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Affiliation(s)
- Anna Battistella
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Matteo Tacelli
- Vita-Salute San Raffaele University, Milan, Italy
- Pancreato-biliary Endoscopy and EUS Division, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Mapelli
- Vita-Salute San Raffaele University, Milan, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Valentina Andreasi
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Luana Genova
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Francesca Muffatti
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco De Cobelli
- Vita-Salute San Raffaele University, Milan, Italy
- Radiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefano Partelli
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Falconi
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
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10
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Drucker Iarovich M, Hinzpeter R, Moloney BM, Hueniken K, Veit-Haibach P, Ortega C, Metser U. Comparison of 68Ga-DOTATATE Positron Emmited Tomography/Computed Tomography and Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for the Detection of Liver Metastases from Well-Differentiated Neuroendocrine Tumors. Curr Oncol 2024; 31:521-534. [PMID: 38248121 PMCID: PMC10813973 DOI: 10.3390/curroncol31010036] [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: 12/04/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
Abstract
This study aimed to compare the detection of neuroendocrine tumor liver metastases (NLMs) in hepatobiliary-specific contrast-enhanced MRI (pMR) versus 68Ga-DOTATATE PET/CT (DT-PET). This retrospective study cohort included 30 patients with well-differentiated neuroendocrine tumors who underwent both DT-PET and pMR. Two readers independently assessed NLMs count, SUVmax on DT-PET, and signal characteristics on pMR. A consensus review by two additional readers resolved discrepancies between the modalities. Results showed concordance between DT-PET and pMR NLM count in 14/30 patients (47%). pMR identified more NLMs in 12/30 patients (40%), of which 4 patients showed multiple deposits on pMR but only 0-1 lesions on DT-PET. DT-PET detected more in 4/30 patients (13%). Overall, pMR detected more metastases than DT-PET (p = 0.01). Excluding the four outliers, there was excellent agreement between the two methods (ICC: 0.945, 95%CI: 0.930, 0.958). Notably, pMR had a higher NLM detection rate than DT-PET, with correlations found between lesion size on pMR and DT-PET detectability, as well as diffusion restriction on pMR and SUVmax on DT-PET. In conclusion, in consecutive patients with well-differentiated NETs, the detection rate of NLM is higher with pMR than with DT-PET. However, when excluding patients whose tumors do not overexpress somatostatin receptors (13% of the cohort), high concordance in the detection of NLM is observed between DT PET and pMR.
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Affiliation(s)
- Moran Drucker Iarovich
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Ricarda Hinzpeter
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Brian Michael Moloney
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Katrina Hueniken
- Department of Biostatistics, University Health Network, Toronto, ON M5G 2C4, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Claudia Ortega
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Ur Metser
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
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11
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Virarkar MK, Montanarella M, Itani M, Calimano-Ramirez L, Gopireddy D, Bhosale P. PET/MRI imaging in neuroendocrine neoplasm. Abdom Radiol (NY) 2023; 48:3585-3600. [PMID: 36525051 DOI: 10.1007/s00261-022-03757-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
Molecular imaging plays a vital role in the management of neuroendocrine neoplasms (NENs). Somatostatin receptor (SSTR) PET is critical for evaluating NENs, ascertaining peptide receptor radionuclide therapy (PRRT) eligibility, and treatment response. SSTR-PET/MRI can provide a one-stop-shop multiparametric evaluation of NENs. The acquisition of complementary imaging information in PET/MRI has distinct advantages over PET/CT and MR imaging acquisitions. The purpose of this manuscript is to provide a comprehensive overview of PET/MRI and a current review of recent PET/MRI advances in the diagnosis, staging, treatment, and surveillance of NENs.
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Affiliation(s)
- Mayur K Virarkar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, 32209, USA
| | - Matthew Montanarella
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, 32209, USA
| | - Malak Itani
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kings Highway Blvd, Campus Box 8131, St Louis, MO, 63110, USA
| | - Luis Calimano-Ramirez
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, 32209, USA.
| | - Dheeraj Gopireddy
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, 32209, USA
| | - Priya Bhosale
- Division of Diagnostic Imaging, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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12
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Attiyeh MA, Malhotra GK, Li D, Manoukian SB, Motarjem PM, Singh G. Defining MRI Superiority over CT for Colorectal and Neuroendocrine Liver Metastases. Cancers (Basel) 2023; 15:5109. [PMID: 37894475 PMCID: PMC10605771 DOI: 10.3390/cancers15205109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/04/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND We compared CT and MRI for staging metastatic colorectal or neuroendocrine liver metastases (CRLMs and NELMs, respectively) to assess their impact on tumor burden. METHODS A prospectively maintained database was queried for patients who underwent both imaging modalities within 3 months, with two blinded radiologists (R1 and R2) independently assessing the images for liver lesions. To minimize recall bias, studies were grouped by modality, and were randomized and evaluated separately. RESULTS Our query yielded 76 patients (42 CRLMs; 34 NELMs) with low interrater variability (intraclass correlation coefficients: CT = 0.941, MRI = 0.975). For CRLMs, there were no significant differences in lesion number or size between CT and MRI. However, in NELMs, Eovist®-enhanced MRI detected more lesions (R1: 14.3 vs. 12.1, p = 0.02; R2: 14.4 vs. 12.4, p = 0.01) and smaller lesions (R1: 5.7 vs. 4.4, p = 0.03; R2: 4.8 vs. 2.9, p = 0.02) than CT. CONCLUSIONS CT and MRI are equivalent for CRLMs, but for NELMs, MRI outperforms CT in detecting more and smaller lesions, potentially influencing treatment planning and surgery.
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Affiliation(s)
- Marc A. Attiyeh
- Department of Surgical Oncology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
| | - Gautam K. Malhotra
- Department of Surgery, USC, Keck School of Medicine, Los Angeles, CA 90033, USA
| | - Daneng Li
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Saro B. Manoukian
- Department of Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Pejman M. Motarjem
- Department of Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA
| | - Gagandeep Singh
- Department of Surgery, City of Hope National Medical Center, Duarte, CA 91010, USA
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13
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Navin PJ, Ehman EC, Liu JB, Halfdanarson TR, Gupta A, Laghi A, Yoo DC, Carucci LR, Schima W, Sheedy SP. Imaging of Small-Bowel Neuroendocrine Neoplasms: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2023; 221:289-301. [PMID: 36752369 DOI: 10.2214/ajr.22.28877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Neuroendocrine neoplasms (NENs) of the small bowel are typically slow-growing lesions that remain asymptomatic until reaching an advanced stage. Imaging modalities for lesion detection, staging, and follow-up in patients with known or suspected NEN include CT enterography, MR enterography, and PET/CT using a somatostatin receptor analog. FDG PET/CT may have a role in the evaluation of poorly differentiated NENs. Liver MRI, ideally with a hepatocyte-specific contrast agent, should be used in the evaluation of hepatic metastases. Imaging informs decisions regarding both surgical approaches and systematic therapy (specifically, peptide receptor radionuclide therapy). This AJR Expert Panel Narrative Review describes the multimodality imaging features of small-bowel NENs; explores the optimal imaging modalities for their diagnosis, staging, and follow-up; and discusses how imaging may be used to guide therapy.
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Affiliation(s)
- Patrick J Navin
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
| | - Eric C Ehman
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
| | - Jason B Liu
- Department of Surgery, Division of Surgical Oncology, Brigham and Women's Hospital, Boston, MA
| | | | - Akshya Gupta
- Department of Imaging Sciences, University of Rochester, Rochester, NY
| | - Andrea Laghi
- Department of Medical Surgical Sciences and Translational Medicine, AOU Sant'Andrea, Sapienza University of Rome, Rome, Italy
| | - Don C Yoo
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Laura R Carucci
- Department of Radiology, Virginia Commonwealth University Medical Center, Richmond, VA
| | - Wolfgang Schima
- Department of Diagnostic and Interventional Radiology, Goettlicher Heiland Krankenhaus, Barmherzige Schwestern Krankenhaus and Sankt Josef Krankenhaus, Vienna, Austria
| | - Shannon P Sheedy
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
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14
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Concors SJ, Maxwell JE. Neuroendocrine hepatic metastatic disease: the surgeon's perspective. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:4073-4080. [PMID: 35476146 DOI: 10.1007/s00261-022-03515-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/15/2022] [Accepted: 03/28/2022] [Indexed: 01/18/2023]
Abstract
Neuroendocrine tumors are a rare subset of tumors that are increasing in incidence over the last 4 decades. These tumors occur along the gastrointestinal tract and bronchopulmonary tree and frequently metastasize. Up to 90% of patients with gastroenteropancreatic neuroendocrine tumors develop liver metastases (NeLM) during their clinical course. The development of NeLM and their appropriate management has a profound impact on patient morbidity and mortality. Workup of NeLM involves biopsy to define tumor grade, cross-sectional imaging to delineate the distribution and number of metastases, and hormonal studies to determine tumor functionality. Depending on these three factors, a combination of cytoreductive surgery, liver-directed therapies, and medical management-with cytostatic and cytotoxic chemotherapies, is utilized. The multidisciplinary management of patients with NeLM should carefully consider all these factors.
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Affiliation(s)
- Seth J Concors
- Division of Surgery, Department of Surgical Oncology, MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Jessica E Maxwell
- Division of Surgery, Department of Surgical Oncology, MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
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15
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Neuroendocrine neoplasm imaging: protocols by site of origin. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:4081-4095. [PMID: 36307597 DOI: 10.1007/s00261-022-03713-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/09/2022] [Accepted: 10/11/2022] [Indexed: 01/18/2023]
Abstract
With the relatively low incidence of neuroendocrine neoplasms (NEN), most radiologists are not familiar with their optimal imaging techniques. The imaging protocols for NENs should be tailored to the site of origin to accurately define local extension of NEN at time of staging. Patterns of spread and recurrence should be taken into consideration when choosing protocols for detection of recurrence and metastases. This paper will present the recommended CT and MRI imaging protocols for gastro-enteric and pancreatic NENs based on site of origin or predominant pattern of metastatic disease, and explain the rationale for MRI contrast type, contrast timing, as well as specific sequences in MRI. We will also briefly comment on PET/CT and PET/MRI imaging protocols.
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16
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Prosperi D, Gentiloni Silveri G, Panzuto F, Faggiano A, Russo VM, Caruso D, Polici M, Lauri C, Filice A, Laghi A, Signore A. Nuclear Medicine and Radiological Imaging of Pancreatic Neuroendocrine Neoplasms: A Multidisciplinary Update. J Clin Med 2022; 11:jcm11226836. [PMID: 36431313 PMCID: PMC9694730 DOI: 10.3390/jcm11226836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
Pancreatic neuroendocrine neoplasms (panNENs) are part of a large family of tumors arising from the neuroendocrine system. PanNENs show low-intermediate tumor grade and generally high somatostatin receptor (SSTR) expression. Therefore, panNENs benefit from functional imaging with 68Ga-somatostatin analogues (SSA) for diagnosis, staging, and treatment choice in parallel with morphological imaging. This narrative review aims to present conventional imaging techniques and new perspectives in the management of panNENs, providing the clinicians with useful insight for clinical practice. The 68Ga-SSA PET/CT is the most widely used in panNENs, not only fr diagnosis and staging purpose but also to characterize the biology of the tumor and its responsiveness to SSAs. On the contrary, the 18F-Fluordeoxiglucose (FDG) PET/CT is not employed systematically in all panNEN patients, being generally preferred in G2-G3, to predict aggressiveness and progression rate. The combination of 68Ga-SSA PET/CT and 18F-FDG PET/CT can finally suggest the best therapeutic strategy. Other radiopharmaceuticals are 68Ga-exendin-4 in case of insulinomas and 18F-dopamine (DOPA), which can be helpful in SSTR-negative tumors. New promising but still-under-investigation radiopharmaceuticals include radiolabeled SSTR antagonists and 18F-SSAs. Conventional imaging includes contrast enhanced CT and multiparametric MRI. There are now enriched by radiomics, a new non-invasive imaging approach, very promising to early predict tumor response or progression.
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Affiliation(s)
- Daniela Prosperi
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Guido Gentiloni Silveri
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Francesco Panzuto
- Digestive Disease Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, ENETS Center of Excellence, Sapienza University of Rome, 00189 Roma, Italy
| | - Antongiulio Faggiano
- Endocrinology Unit, Department of Clinical and Molecular Medicine, Sant’Andrea University Hospital, ENETS Center of Excellence, Sapienza University of Rome, 00189 Roma, Italy
| | - Vincenzo Marcello Russo
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Damiano Caruso
- Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Michela Polici
- Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Chiara Lauri
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
- Correspondence:
| | - Angelina Filice
- Nucler Medicine Unit, AUSL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Andrea Laghi
- Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
| | - Alberto Signore
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Sant’Andrea University Hospital, Sapienza University of Rome, 00189 Roma, Italy
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Fang JM, Li J, Shi J. An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms. World J Gastroenterol 2022; 28:1009-1023. [PMID: 35431496 PMCID: PMC8968521 DOI: 10.3748/wjg.v28.i10.1009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/26/2021] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) arise from neuroendocrine cells found throughout the gastrointestinal tract and islet cells of the pancreas. The incidence and prevalence of GEP-NENs have been increasing each year due to higher awareness, improved diagnostic modalities, and increased incidental detection on cross-sectional imaging and endoscopy for cancer screening and other conditions and symptoms. GEP-NENs are a heterogeneous group of tumors and have a wide range in clinical presentation, histopathologic features, and molecular biology. Clinical presentation most commonly depends on whether the GEP-NEN secretes an active hormone. The World Health Organization recently updated the classification of GEP-NENs to introduce a distinction between high-grade neuroendocrine tumors and neuroendocrine carcinomas, which can be identified using histology and molecular studies and are more aggressive with a worse prognosis compared to high-grade neuroendocrine tumors. As our understanding of the biology of GEP-NENs has grown, new and improved diagnostic modalities can be developed and optimized. Here, we discuss clinical features and updates in diagnosis, including histopathological analysis, biomarkers, molecular techniques, and radiology of GEP-NENs. We review established diagnostic tests and discuss promising novel diagnostic tests that are currently in development or require further investigation and validation prior to broad utilization in patient care.
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Affiliation(s)
- Jiayun M Fang
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI 48109, United States
| | - Jay Li
- Medical Scientist Training Program, University of Michigan, Ann Arbor, MI 48109, United States
| | - Jiaqi Shi
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI 48109, United States
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18
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Apparent Diffusion Coefficient Values for Neuroendocrine Liver Metastases. Acad Radiol 2021; 28 Suppl 1:S81-S86. [PMID: 33172816 DOI: 10.1016/j.acra.2020.10.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 12/15/2022]
Abstract
RATIONALE AND OBJECTIVES We aimed to investigate whether there are any differences in apparent diffusion coefficient (ADC) values obtained from liver metastases due to gastroenteropancreatic neuroendocrine tumors (GEP-NET) and adenocarcinomas. MATERIALS AND METHODS We included 54 patients with 167 liver metastases due to gastroenteropancreatic tumors. We divided the patients into two groups as liver metastases due to GEP-NETs (seven patients with 51 lesions, mean age: 48) and adenocarcinomas (47 patients with 116 lesions, mean age: 61.2). We used the independent samples t-test to compare the ADC and ADCmean values of the two groups and performed a receiver-operating characteristic analysis. RESULTS ADC and ADCmean values were significantly lower in the GEP-NET group compared with the adenocarcinoma group. Receiver-operating characteristic curve analysis showed a significant difference for ADC and ADCmean values, and area under the curve values were 0.733 and 0.790, respectively. The cut-off values were 933x10-6 mm2/s for ADC and 801x10-6 mm2/s for ADCmean. Diagnostic accuracies of ADC (Sensitivity = 80.2, Specificity = 64.7, PPV = 83.8, NPV = 58.9) and ADCmean (Sensitivity = 63.8, Specificity = 82.4, PPV = 89.2, NPV = 50) were calculated in differentiating adenocarcinoma metastases from GEP-NET metastases. CONCLUSION The lower ADC and ADCmean values of liver metastases suggest GEP-NET rather than adenocarcinomas. ADC and ADCmean values obtained from liver metastases may be used to differentiate NETs from adenocarcinomas.
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19
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Welle CL, Venkatesh SK, Reeder SB, VanBuren WM, Wells ML, Sheedy SP, Fidler JL. Dual contrast liver MRI: a pictorial illustration. Abdom Radiol (NY) 2021; 46:4588-4600. [PMID: 34076723 DOI: 10.1007/s00261-021-03129-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 05/10/2021] [Accepted: 05/19/2021] [Indexed: 12/22/2022]
Abstract
Liver magnetic resonance imaging (MRI) is a commonly performed imaging technique with multiple indications and applications. There are two general groups of contrast agents used when imaging the liver, extracellular contrast agents (ECA) and hepatobiliary agents (HBA), each of which has its own advantages and limitations. Liver MRI with ECA provides excellent information on abdominal vasculature and better quality multi-phasic studies for characterization of focal liver lesions. HBA improves lesion detection, provides information regarding liver function and can be helpful for evaluating biliary tree anatomy, excretion, anastomotic stenoses, or leaks. Most liver MRI studies are usually performed with one agent, however in some cases, a second study is performed with another agent to obtain additional information or confirm the findings in the first study. Administering both agents in a single exam can potentially eliminate the need for additional imaging in certain situations. In this pictorial review, the techniques and indications for dual contrast MRI will be detailed with multiple demonstrative examples.
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Affiliation(s)
| | | | - Scott B Reeder
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | | | | | | | - Jeff L Fidler
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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20
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Noreikaite J, Albasha D, Chidambaram V, Arora A, Katti A. Indeterminate liver lesions on gadoxetic acid-enhanced magnetic resonance imaging of the liver: Case-based radiologic-pathologic review. World J Hepatol 2021; 13:1079-1097. [PMID: 34630876 PMCID: PMC8473497 DOI: 10.4254/wjh.v13.i9.1079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 06/24/2021] [Accepted: 08/06/2021] [Indexed: 02/06/2023] Open
Abstract
Different histopathological manifestations of focal liver lesions show varying common and uncommon imaging findings and some pathologies may show similar appearance despite of different histopathology. It is necessary to characterise focal liver lesions accurately as not only benign and malignant lesions are managed differently, but also certain benign lesions have differing management. These lesions are increasingly being detected due to rapid growth of use of cross-sectional imaging as well as improvement in image quality and new imaging techniques. Contrast enhanced magnetic resonance imaging (MRI) is considered the gold standard technique in characterising focal liver lesions. Addition of gadoxetic acid has been shown to significantly increase diagnostic accuracy in the detection and characterization of liver abnormalities. Classic imaging characteristics of common liver lesions, including their behaviour on gadoxetic acid enhanced MRI, have been described in literature over recent years. It is important to be familiar with the typical aspects of these lesions as well as know the uncommon and overlapping imaging features to reach an accurate diagnosis. In this article, we will review the well-described characteristic imaging findings of common and rare focal liver lesions and present several challenging cases encountered in the clinical setting, namely hepatocellular adenoma, focal nodular hyperplasia, hepatic angiomyolipoma, hepatocellular carcinoma, intrahepatic cholangiocarcinoma, neuroendocrine tumours as well as a pleomorphic liposarcoma of the liver.
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Affiliation(s)
- Jurate Noreikaite
- Department of Radiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, United Kingdom
| | - Dekan Albasha
- Department of Radiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, United Kingdom
| | - Vijay Chidambaram
- Department of Radiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, United Kingdom
| | - Ankur Arora
- Department of Radiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, United Kingdom
| | - Ashok Katti
- Department of Radiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, United Kingdom
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21
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Abstract
Small bowel neuroendocrine tumors (SBNETS) are slow-growing neoplasms with a noted propensity toward metastasis and comparatively favorable prognosis. The presentation of SBNETs is varied, although abdominal pain and obstructive symptoms are the most common presenting symptoms. In patients with metastases, hypersecretion of serotonin and other bioactive amines results in diarrhea, flushing, valvular heart disease, and bronchospasm, termed carcinoid syndrome. The treatment of SBNETs is multimodal and includes surgery, liver-directed therapy, somatostatin analogues, targeted therapy, and peptide receptor radionuclide therapy.
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22
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Półtorak-Szymczak G, Budlewski T, Furmanek MI, Wierzba W, Sklinda K, Walecki J, Mruk B. Radiological Imaging of Gastro-Entero-Pancreatic Neuroendocrine Tumors. The Review of Current Literature Emphasizing the Diagnostic Value of Chosen Imaging Methods. Front Oncol 2021; 11:670233. [PMID: 34211845 PMCID: PMC8239281 DOI: 10.3389/fonc.2021.670233] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 04/14/2021] [Indexed: 02/03/2023] Open
Abstract
Despite development of radiologic imaging, detection and follow-up of neuroendocrine neoplasms (NENs) still pose a diagnostic challenge, due to the heterogeneity of NEN, their relatively long-term growth, and small size of primary tumor. A set of information obtained by using different radiological imaging tools simplifies a choice of the most appropriate treatment method. Moreover, radiological imaging plays an important role in the assessment of metastatic lesions, especially in the liver, as well as, tumor response to treatment. This article reviews the current, broadly in use imaging modalities which are applied to the diagnosis of GEP-NETs, (the most common type of NENs) and put emphasis on the strengths and limitations of each modality.
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Affiliation(s)
- Gabriela Półtorak-Szymczak
- Department of Radiology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
| | - Tadeusz Budlewski
- Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland.,Department of Nuclear Medicine, Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
| | - Mariusz Ireneusz Furmanek
- Department of Radiology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
| | - Waldemar Wierzba
- Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland.,University of Humanities and Economics, Lodz, Poland
| | - Katarzyna Sklinda
- Department of Radiology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
| | - Jerzy Walecki
- Department of Radiology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
| | - Bartosz Mruk
- Department of Radiology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland
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Fehrenbach U, Xin S, Hartenstein A, Auer TA, Dräger F, Froböse K, Jann H, Mogl M, Amthauer H, Geisel D, Denecke T, Wiedenmann B, Penzkofer T. Automatized Hepatic Tumor Volume Analysis of Neuroendocrine Liver Metastases by Gd-EOB MRI-A Deep-Learning Model to Support Multidisciplinary Cancer Conference Decision-Making. Cancers (Basel) 2021; 13:2726. [PMID: 34072865 PMCID: PMC8199286 DOI: 10.3390/cancers13112726] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 05/22/2021] [Accepted: 05/25/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Rapid quantification of liver metastasis for diagnosis and follow-up is an unmet medical need in patients with secondary liver malignancies. We present a 3D-quantification model of neuroendocrine liver metastases (NELM) using gadoxetic-acid (Gd-EOB)-enhanced MRI as a useful tool for multidisciplinary cancer conferences (MCC). METHODS Manual 3D-segmentations of NELM and livers (149 patients in 278 Gd-EOB MRI scans) were used to train a neural network (U-Net architecture). Clinical usefulness was evaluated in another 33 patients who were discussed in our MCC and received a Gd-EOB MRI both at baseline and follow-up examination (n = 66) over 12 months. Model measurements (NELM volume; hepatic tumor load (HTL)) with corresponding absolute (ΔabsNELM; ΔabsHTL) and relative changes (ΔrelNELM; ΔrelHTL) between baseline and follow-up were compared to MCC decisions (therapy success/failure). RESULTS Internal validation of the model's accuracy showed a high overlap for NELM and livers (Matthew's correlation coefficient (φ): 0.76/0.95, respectively) with higher φ in larger NELM volume (φ = 0.80 vs. 0.71; p = 0.003). External validation confirmed the high accuracy for NELM (φ = 0.86) and livers (φ = 0.96). MCC decisions were significantly differentiated by all response variables (ΔabsNELM; ΔabsHTL; ΔrelNELM; ΔrelHTL) (p < 0.001). ΔrelNELM and ΔrelHTL showed optimal discrimination between therapy success or failure (AUC: 1.000; p < 0.001). CONCLUSION The model shows high accuracy in 3D-quantification of NELM and HTL in Gd-EOB-MRI. The model's measurements correlated well with MCC's evaluation of therapeutic response.
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Affiliation(s)
- Uli Fehrenbach
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
| | - Siyi Xin
- Division of Gastroenterology, Medical Department, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; (S.X.); (H.J.); (B.W.)
| | - Alexander Hartenstein
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
- Bayer AG, 13353 Berlin, Germany
| | - Timo Alexander Auer
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
- Berlin Institute of Health, 10178 Berlin, Germany
| | - Franziska Dräger
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
| | - Konrad Froböse
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
| | - Henning Jann
- Division of Gastroenterology, Medical Department, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; (S.X.); (H.J.); (B.W.)
| | - Martina Mogl
- Department of Surgery Campus Charité Mitte/Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;
| | - Holger Amthauer
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany;
| | - Dominik Geisel
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, University Hospital Leipzig, 04103 Leipzig, Germany;
| | - Bertram Wiedenmann
- Division of Gastroenterology, Medical Department, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; (S.X.); (H.J.); (B.W.)
| | - Tobias Penzkofer
- Department of Radiology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (A.H.); (T.A.A.); (F.D.); (K.F.); (D.G.); (T.P.)
- Berlin Institute of Health, 10178 Berlin, Germany
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24
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The Chinese guidelines for the diagnosis and treatment of pancreatic neuroendocrine neoplasms (2020). JOURNAL OF PANCREATOLOGY 2021. [DOI: 10.1097/jp9.0000000000000064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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Nguyen NC, Moon CH, Muthukrishnan A, Furlan A. 68Ga-DOTATATE PET/MRI for Neuroendocrine Tumors: A Pictorial Review. Clin Nucl Med 2020; 45:e406-e410. [PMID: 32520493 DOI: 10.1097/rlu.0000000000003085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Neuroendocrine tumors (NETs) constitute a variety of neoplastic entities and exhibit variable degrees of neuroendocrine differentiation and phenotypes, as well as genetic profiles. Ga-DOTATATE PET is a novel imaging technique for NET. Although PET/CT is commonly utilized for oncologic imaging, PET/MRI is particularly suited for NETs, as MRI provides greater soft tissue contrast than CT, allowing for improved detection and characterization of NETs, particularly when liver metastasis is suspected or needs to be ruled out. The current pictorial review aims to illustrate the complementary advantages, as well as pitfalls of Ga-DOTATATE PET/MRI in the evaluation of NETs.
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Affiliation(s)
- Nghi C Nguyen
- From the Department of Radiology, University of Pittsburgh, Pittsburgh, PA
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26
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Li D, Rock A, Kessler J, Ballena R, Hyder S, Mo C, Chang S, Singh G. Understanding the Management and Treatment of Well-Differentiated Pancreatic Neuroendocrine Tumors: A Clinician's Guide to a Complex Illness. JCO Oncol Pract 2020; 16:720-728. [PMID: 33085933 DOI: 10.1200/jcoop.20.00010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Pancreatic neuroendocrine tumors (PanNETs) are rare neoplasms that arise in the neuroendocrine cells of the pancreas. Although their clinical presentations differ depending on cell type, most are indolent, whereas others cause noteworthy hormone-related symptoms. The increasing incidence of PanNETs, attributed to improved diagnostic modalities, demonstrates advances in current standard of care. However, given the heterogeneity of these tumors, treatment decisions can become complex and an individualized approach is often required. Surgical intervention has remained the mainstay for localized tumors, whereas systemic therapies remain viable options for patients with unresectable or metastatic disease. Liver-directed therapies such as radiofrequency ablation and hepatic arterial embolization have also become available adjunct therapies for patients with liver-predominant metastases. Despite the increase in the armamentarium of treatment options for patients with PanNETs, data regarding the ideal sequence of treatment, especially systemic treatments, are currently lacking. Ongoing clinical trials are aimed at addressing this knowledge gap in addition to developing the next generation of novel therapeutics.
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Affiliation(s)
- Daneng Li
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA
| | - Adam Rock
- Department of Hematology and Medical Oncology, Harbor-UCLA Medical Center, Torrance, CA
| | - Jonathan Kessler
- Department of Diagnostic Radiology, Division of Interventional Radiology, City of Hope National Medical Center, Duarte, CA
| | - Richard Ballena
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA
| | - Shadman Hyder
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA
| | - Christiana Mo
- Department of Medicine, University of California, Irvine, Irvine, CA
| | - Sue Chang
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - Gagandeep Singh
- Department of Surgery, City of Hope National Medical Center, Duarte, CA
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27
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Hepatobiliary phase enhancement of liver metastases on gadoxetic acid MRI: assessment of frequency and patterns. Eur Radiol 2020; 31:1359-1366. [PMID: 32886204 DOI: 10.1007/s00330-020-07228-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/13/2020] [Accepted: 08/26/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To assess for and characterize patterns of hepatobiliary phase (HBP) enhancement in hepatic metastases of various malignancies on gadoxetic acid-enhanced MRI. METHODS Eighty gadoxetic acid-enhanced MRI studies performed between July 2012 and November 2019 in patients with hepatic metastases from 13 different primary malignancies were assessed. Most (n = 60) were from colorectal cancer (CRC), pancreatic ductal adenocarcinoma (PDAC), or neuroendocrine tumor (NET) primaries. Two radiologists quantitatively evaluated the dominant lesion on each MRI. A lesion was considered enhancing when HBP enhancement relative to muscle exceeded 20%. Lesions were classified by pattern of enhancement. Quantitative enhancement metrics and patterns of enhancement were compared between CRC, PDAC, and NET using non-parametric statistical tests. RESULTS Most dominant metastatic lesions > 1 cm (77%, 54/70) demonstrated HBP enhancement. HBP enhancement was identified in hepatic metastases from 10 different primary malignancies, including CRC, PDAC, and NET. PDAC metastases demonstrated a lower degree of HBP enhancement (26%) than CRC (44%, padj = 0.04) and NET (51%, padj = 0.01) metastases. Three discrete enhancement patterns were identified: peripheral, central (target), and diffuse heterogeneous. Patterns of HBP enhancement varied between CRC, PDAC, and NET, with secondary analysis demonstrating that PDAC had the highest proportion of peripheral pattern (73%, padj < 0.001), CRC the highest proportion of diffuse heterogeneous pattern (32%, padj < 0.01), and NET the highest proportion of central pattern (89%, padj < 0.001). CONCLUSION Liver metastases from several primary malignancies, including PDAC, demonstrate mild HBP enhancement in variable patterns. Correlation with OATP1B3 expression and prognosis is required. KEY POINTS • Hepatobiliary phase (HBP) enhancement was identified in 77% of hepatic metastases in several different primary malignancies. • Discrete patterns of HBP enhancement exist (peripheral, central, diffuse heterogeneous) and varied between CRC, PDAC, and NET. CRC and PDAC metastases demonstrated mostly non-central patterns (diffuse and peripheral), and NET mostly a central pattern. • Relationship between HBP enhancement, enhancement pattern, OATP1B3 expression, and prognosis requires further dedicated exploration for each malignancy.
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28
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Optimization of timing of hepatocellular phase imaging after gadoxetate disodium injection for evaluation of patients with neuroendocrine tumor. Abdom Radiol (NY) 2020; 45:2358-2369. [PMID: 32270259 DOI: 10.1007/s00261-020-02515-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE Metastatic gastroenteropancreatic neuroendocrine neoplasms (mGEP-NEN) are indolent malignancies which undergo frequent imaging follow-up. Hepatocellular phase (HCP) MR with hepatocellular-specific contrast agent is widely used to evaluate mGEP-NEN liver metastases but is commonly performed after a 20-min delay which prolongs scan time. The purpose of this study was to evaluate if HCP MR at 15 min offers comparable performance to 20-min delay for patients with mGEP-NEN undergoing routine imaging surveillance. MATERIALS AND METHODS In this IRB-approved retrospective study, we evaluated 52 patients with mGEP-NEN who were imaged for routine surveillance with gadoxetate disodium (Eovist®)-enhanced MR including 15- and 20-min delayed HCP. Two readers (R1, R2), blinded to HCP timing, independently reviewed each set of images in random order at least 1 month apart. Readers assessed presence and conspicuity of metastases, and subjective image quality using 5-point scales. Readers quantified the number of metastases and diameter of the largest lesion. Statistical analysis was performed to determine individual-reader and inter-reader differences for qualitative and quantitative data. RESULTS No differences were observed for subjective image quality (R1 p = 0.86, R2 p = 0.17) or lesion conspicuity (R1 p = 0.56, R2 p = 0.74) at 15 min and 20 min for either reader. Individual-reader concordance correlation coefficient between 15 and 20 min was high for number of metastases detected (R1 = 0.9842, R2 = 0.9579) and diameter of largest metastasis (R1 = 0.9629, R2 = 0.8859). CONCLUSION HCP imaging at 15 min provides similar diagnostic yield to standard 20-min delay, which may help reduce the scan time and costs, and improve throughput and patient satisfaction.
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Morse B, Al-Toubah T, Montilla-Soler J. Anatomic and Functional Imaging of Neuroendocrine Tumors. Curr Treat Options Oncol 2020; 21:75. [PMID: 32728967 DOI: 10.1007/s11864-020-00770-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OPINION STATEMENT Neuroendocrine tumors (NETs) can occur in a wide variety of organs and display a spectrum of pathologic behavior. Accurate and effective imaging is paramount to the diagnosis, staging, therapy, and surveillance of patients with NET. There have been continuous advancements in the imaging of NET which includes anatomic and functional techniques.
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Affiliation(s)
- Brian Morse
- Department of Diagnostic Imaging, Moffitt Cancer Center, 12902 Magnolia Drive, WCB-RAD, Tampa, FL, 33612, USA.
| | - Taymeyah Al-Toubah
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, USA
| | - Jaime Montilla-Soler
- Department of Diagnostic Imaging, Moffitt Cancer Center, 12902 Magnolia Drive, WCB-RAD, Tampa, FL, 33612, USA
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Singh S, Bergsland EK, Card CM, Hope TA, Kunz PL, Laidley DT, Lawrence B, Leyden S, Metz DC, Michael M, Modahl LE, Myrehaug S, Padda SK, Pommier RF, Ramirez RA, Soulen M, Strosberg J, Sung A, Thawer A, Wei B, Xu B, Segelov E. Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society Guidelines for the Diagnosis and Management of Patients With Lung Neuroendocrine Tumors: An International Collaborative Endorsement and Update of the 2015 European Neuroendocrine Tumor Society Expert Consensus Guidelines. J Thorac Oncol 2020; 15:1577-1598. [PMID: 32663527 DOI: 10.1016/j.jtho.2020.06.021] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 06/14/2020] [Accepted: 06/29/2020] [Indexed: 12/12/2022]
Abstract
Lung neuroendocrine tumors (LNETs) are uncommon cancers, and there is a paucity of randomized evidence to guide practice. As a result, current guidelines from different neuroendocrine tumor societies vary considerably. There is a need to update and harmonize global consensus guidelines. This article reports the best practice guidelines produced by a collaboration between the Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society. We performed a formal endorsement and updating process of the 2015 European Neuroendocrine Tumor Society expert consensus article on LNET. A systematic review from January 2013 to October 2017 was conducted to procure the most recent evidence. The stepwise endorsement process involved experts from all major subspecialties, patients, and advocates. Guided by discussion of the most recent evidence, each statement from the European Neuroendocrine Tumor Society was either endorsed, modified, or removed. New consensus statements were added if appropriate. The search yielded 1109 new publications, of which 230 met the inclusion criteria. A total of 12 statements were endorsed, 22 statements were modified or updated, one was removed, and two were added. Critical answered questions for each topic in LNET were identified. Through the consensus process, guidelines for the management of patients with local and metastatic neuroendocrine tumors have been updated to include both recent evidence and practice changes relating to technological and definitional advances. The guidelines provide clear, evidence-based statements aimed at harmonizing the global approach to patients with LNETs, on the basis of the principles of person-centered and LNET-specific care. The importance of LNET-directed research and person-centered care throughout the diagnosis, treatment, and follow-up journey is emphasized along with directions for future collaborative research.
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Affiliation(s)
- Simron Singh
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
| | - Emily K Bergsland
- Department of Medicine, Division of Hematology/Oncology, University of California, San Francisco, San Francisco, California
| | | | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, Division of Hematology/Oncology, University of California, San Francisco, San Francisco, California
| | - Pamela L Kunz
- Department of Medicine, Yale University, New Haven, Connecticut
| | - David T Laidley
- Department of Medical Imaging, Division of Nuclear Medicine, London Health Sciences Centre, London, Ontario, Canada
| | - Ben Lawrence
- Discipline of Oncology, University of Auckland, Auckland, New Zealand
| | - Simone Leyden
- Unicorn Foundation, Blairgowrie, Victoria, Australia
| | - David C Metz
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michael Michael
- Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Lucy E Modahl
- Auckland Radiology Group, Auckland City Hospital, Auckland, New Zealand
| | - Sten Myrehaug
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sukhmani K Padda
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | | | - Robert A Ramirez
- Department of Medical Oncology, Ochsner Medical Center, New Orleans, Louisiana
| | - Michael Soulen
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Arthur Sung
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, California
| | - Alia Thawer
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Benjamin Wei
- Department of Surgery, Birmingham Medical Center, University of Alabama, Birmingham, Alabama
| | - Bin Xu
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Eva Segelov
- Department of Oncology, Monash Health, Monash University, Melbourne, Victoria, Australia
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31
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Hayoz R, Vietti-Violi N, Duran R, Knebel JF, Ledoux JB, Dromain C. The combination of hepatobiliary phase with Gd-EOB-DTPA and DWI is highly accurate for the detection and characterization of liver metastases from neuroendocrine tumor. Eur Radiol 2020; 30:6593-6602. [PMID: 32601948 DOI: 10.1007/s00330-020-06930-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/28/2020] [Accepted: 04/29/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To compare the diagnostic accuracy of dynamic contrast-enhanced phases, hepatobiliary phase (HBP), and diffusion-weighted imaging (DWI) for the detection of liver metastases from neuroendocrine tumor (NET). METHODS Sixty-seven patients with suspected NET liver metastases underwent gadoxetic acid-enhanced MRI. Three radiologists read four imaging sets separately and independently: DWI, T2W+dynamic, T2WI+HBP, and DWI+HBP. Reference standard included all imaging, histological findings, and clinical data. Sensitivity and specificity were calculated and compared for each imaging set. Interreader agreement was evaluated by intraclass correlation coefficient (ICC). Univariate logistic regression was performed to evaluate lesion characteristics (size, ADC, and enhancing pattern) associated to false positive and negative lesions. RESULTS Six hundred twenty-five lesions (545 metastases, 80 benign lesions) were identified. Detection rate was significantly higher combining DWI+HBP than the other imaging sets (sensitivity 86% (95% confidence interval (CI) 0.845-0.878), specificity 94% (95% CI 0.901-0.961)). The sensitivity and specificity of the other sets were 82% and 65% for DWI, 88% and 69% for T2WI, and 90% and 82% for HBP+T2WI, respectively. The interreader agreement was statistically higher for both HBP sets (ICC = 0.96 (95% CI 0.94-0.97) for T2WI+HBP and ICC = 0.91 (95% CI 0.87-0.94) for DWI+HBP, respectively) compared with that for DWI (ICC = 0.76 (95% CI 0.66-0.83)) and T2+dynamic (ICC = 0.85 (95% CI 0.79-0.9)). High ADC values, large lesion size, and hypervascular pattern lowered the risk of false negative. CONCLUSION Given the high diagnostic accuracy of combining DWI+HBP, gadoxetic acid-enhanced MRI is to be considered in NET patients with suspected liver metastases. Fast MRI protocol using T2WI, DWI, and HBP is of interest in this population. KEY POINTS • The combined set of diffusion-weighted (DW) and hepatobiliary phase (HBP) images yields the highest sensitivity and specificity for neuroendocrine liver metastasis (NELM) detection. • Gadoxetic acid should be the contrast agent of choice for liver MRI in NET patients. • The combined set of HBP and DWI sequences could also be used as a tool of abbreviated MRI in follow-up or assessment of treatment such as somatostatin analogs.
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Affiliation(s)
- Roschan Hayoz
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Naïk Vietti-Violi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Rafael Duran
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
| | - Jean-François Knebel
- EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, Lausanne, 1011, Switzerland
| | - Jean-Baptiste Ledoux
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Clarisse Dromain
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
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32
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Tran CG, Sherman SK, Howe JR. Small Bowel Neuroendocrine Tumors. Curr Probl Surg 2020; 57:100823. [PMID: 33234227 DOI: 10.1016/j.cpsurg.2020.100823] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022]
Affiliation(s)
| | - Scott K Sherman
- Division of Surgical Oncology and Endocrine Surgery, University of lowa Carver College of Medicine, lowa City, lowa
| | - James R Howe
- Division of Surgical Oncology and Endocrine Surgery, University of lowa Carver College of Medicine, lowa City, lowa.
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33
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Hope TA, Abbott A, Colucci K, Bushnell DL, Gardner L, Graham WS, Lindsay S, Metz DC, Pryma DA, Stabin MG, Strosberg JR. NANETS/SNMMI Procedure Standard for Somatostatin Receptor-Based Peptide Receptor Radionuclide Therapy with 177Lu-DOTATATE. J Nucl Med 2020; 60:937-943. [PMID: 31263080 DOI: 10.2967/jnumed.118.230607] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
With the recent approval of 177Lu-DOTATATE for use in gastroenteropancreatic neuroendocrine tumors, access to peptide receptor radionuclide therapy is increasing. Representatives from the North American Neuroendocrine Tumor Society and the Society of Nuclear Medicine and Molecular Imaging collaborated to develop a practical consensus guideline for the administration of 177Lu-DOTATATE. In this paper, we discuss patient screening, maintenance somatostatin analog therapy requirements, treatment location and room preparation, drug administration, and patient release as well as strategies for radiation safety, toxicity monitoring, management of potential complications, and follow-up. Controversies regarding the role of radiation dosimetry are discussed as well. This document is designed to provide practical guidance on how to safely treat patients with this therapy.
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Affiliation(s)
- Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California .,Department of Radiology, San Francisco VA Medical Center, San Francisco, California
| | | | - Karen Colucci
- Lehigh Valley Health Network, Allentown, Pennsylvania
| | - David L Bushnell
- Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City, Iowa.,Iowa City VA Medical Center, Iowa City, Iowa
| | - Linda Gardner
- Department of Nuclear Medicine, University of California, Los Angeles, Los Angeles, California
| | - William S Graham
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Sheila Lindsay
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - David C Metz
- Division of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel A Pryma
- Division of Nuclear Medicine & Clinical Molecular Imaging, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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34
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Howe JR, Merchant NB, Conrad C, Keutgen XM, Hallet J, Drebin JA, Minter RM, Lairmore TC, Tseng JF, Zeh HJ, Libutti SK, Singh G, Lee JE, Hope TA, Kim MK, Menda Y, Halfdanarson TR, Chan JA, Pommier RF. The North American Neuroendocrine Tumor Society Consensus Paper on the Surgical Management of Pancreatic Neuroendocrine Tumors. Pancreas 2020; 49:1-33. [PMID: 31856076 PMCID: PMC7029300 DOI: 10.1097/mpa.0000000000001454] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This manuscript is the result of the North American Neuroendocrine Tumor Society consensus conference on the surgical management of pancreatic neuroendocrine tumors from July 19 to 20, 2018. The group reviewed a series of questions of specific interest to surgeons taking care of patients with pancreatic neuroendocrine tumors, and for each, the available literature was reviewed. What follows are these reviews for each question followed by recommendations of the panel.
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Affiliation(s)
- James R. Howe
- Department of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA
| | | | - Claudius Conrad
- Department of Surgery, St. Elizabeth Medical Center, Tufts University School of Medicine, Boston, MA
| | | | - Julie Hallet
- Department of Surgery, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Jeffrey A. Drebin
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rebecca M. Minter
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | | | | | - Herbert J. Zeh
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Steven K. Libutti
- §§ Department of Surgery, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - Gagandeep Singh
- Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Jeffrey E. Lee
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Thomas A. Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Michelle K. Kim
- Department of Medicine, Mt. Sinai Medical Center, New York, NY
| | - Yusuf Menda
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA
| | | | - Jennifer A. Chan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Rodney F. Pommier
- Department of Surgery, Oregon Health & Sciences University, Portland, OR
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Cheng J, Wei J, Tong T, Sheng W, Zhang Y, Han Y, Gu D, Hong N, Ye Y, Tian J, Wang Y. Prediction of Histopathologic Growth Patterns of Colorectal Liver Metastases with a Noninvasive Imaging Method. Ann Surg Oncol 2019; 26:4587-4598. [PMID: 31605342 DOI: 10.1245/s10434-019-07910-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To predict histopathologic growth patterns (HGPs) in colorectal liver metastases (CRLMs) with a noninvasive radiomics model. METHODS Patients with chemotherapy-naive CRLMs who underwent abdominal contrast-enhanced multidetector CT (MDCT) followed by partial hepatectomy between January 2007 and January 2019 from two institutions were included in this retrospective study. Hematoxylin- and eosin-stained histopathologic sections of CRLMs were reviewed, with HGPs defined according to international consensus. Lesions were divided into training and validation datasets based on patients' sources. Radiomic features were extracted from pre- and post-contrast (arterial and portal venous) phase MDCT images, with review focusing on the segmented tumor-liver interface zones of CRLMs. Minimum redundancy maximum relevance and decision tree methods were used for radiomics modeling. Multivariable logistic regression analyses and ROC curves were used to assess the predictive performance of these models in predicting HGP types. RESULTS A total of 126 CRLMs with histopathologic-demonstrated desmoplastic (n = 68) or replacement (n = 58) HGPs were assessed. The radiomics signature consisted of 20 features of each phase selected. The 3 phases fused radiomics signature demonstrated the best predictive performance in distinguishing between replacement and desmoplastic HGPs (AUCs of 0.926 and 0.939 in the training and external validation cohorts, respectively). The clinical-radiomics combined model showed good discrimination (C-indices of 0.941 and 0.833 in the training and external validation cohorts, respectively). CONCLUSIONS A radiomics model derived from MDCT images may effectively predict the HGP of CRLMs, thus providing a basis for prognostic stratification and therapeutic decision-making.
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Affiliation(s)
- Jin Cheng
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Jingwei Wei
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tong Tong
- Department of Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weiqi Sheng
- Department of Pathology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yinli Zhang
- Department of Pathology, Peking University People's Hospital, Beijing, China
| | - Yuqi Han
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Dongsheng Gu
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Nan Hong
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People' Hospital, Beijing, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China. .,Beijing Key Laboratory of Molecular Imaging, Beijing, China. .,University of Chinese Academy of Sciences, Beijing, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China. .,Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
| | - Yi Wang
- Department of Radiology, Peking University People's Hospital, Beijing, China.
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Abstract
Pancreatic neuroendocrine tumors are a diverse group of neoplasms with a generally favorable prognosis. Although they exhibit indolent growth, metastases are seen in roughly 60% of patients. Pancreatic neuroendocrine tumors may produce a wide variety of hormones, which are associated with dramatic symptoms, but the majority are nonfunctional. The diagnosis and treatment of these tumors is a multidisciplinary effort, and management guidelines continue to evolve. This review provides a concise summary of the presentation, diagnosis, surgical management, and systemic treatment of pancreatic neuroendocrine tumors.
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Affiliation(s)
- Aaron T. Scott
- Department of Surgery, University of Iowa Carver College of Medicine
| | - James R. Howe
- Department of Surgery, University of Iowa Carver College of Medicine
- Division of Surgical Oncology and Endocrine Surgery
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Abstract
OBJECTIVE. The purpose of this article is to provide a multimodality imaging review of ileal carcinoid tumor. CONCLUSION. Ileal carcinoid tumors display a variety of radiologic findings. Delay in diagnosis is common because of initial nonspecific symptoms and subtle imaging findings. Reviewing the multimodality imaging appearance of the primary tumor, metastatic disease, and associated ancillary findings can help improve patient care.
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Abstract
Small bowel neuroendocrine tumors (NETs) are increasing in incidence and are now the most common primary malignancies of the small intestine. Despite this increase, the vague presentation and slow growth of these tumors lead to long delays in diagnosis, and many patients present with metastases. Patients with metastatic small bowel NETs have a favorable disease prognosis, particularly when contrasted with other GI malignancies, and benefit from aggressive, multimodal therapy. During the past decade, the options for the diagnosis and treatment of small bowel NETs have increased considerably. This review provides a practical framework for the physician who seek to understand the epidemiology, presentation, diagnosis, and management of small bowel NETs.
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Affiliation(s)
- Aaron T. Scott
- University of Iowa Carver College of Medicine, Iowa City, IA
| | - James R. Howe
- University of Iowa Carver College of Medicine, Iowa City, IA
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