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Kim IH, Kang SJ, Choi W, Seo AN, Eom BW, Kang B, Kim BJ, Min BH, Tae CH, Choi CI, Lee CK, An HJ, Byun HK, Im HS, Kim HD, Cho JH, Pak K, Kim JJ, Bae JS, Yu JI, Lee JW, Choi J, Kim JH, Choi M, Jung MR, Seo N, Eom SS, Ahn S, Kim SJ, Lee SH, Lim SH, Kim TH, Han HS. Korean Practice Guidelines for Gastric Cancer 2024: An Evidence-based, Multidisciplinary Approach (Update of 2022 Guideline). J Gastric Cancer 2025; 25:5-114. [PMID: 39822170 PMCID: PMC11739648 DOI: 10.5230/jgc.2025.25.e11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2024] [Accepted: 12/24/2024] [Indexed: 01/19/2025] Open
Abstract
Gastric cancer is one of the most common cancers in both Korea and worldwide. Since 2004, the Korean Practice Guidelines for Gastric Cancer have been regularly updated, with the 4th edition published in 2022. The 4th edition was the result of a collaborative work by an interdisciplinary team, including experts in gastric surgery, gastroenterology, endoscopy, medical oncology, abdominal radiology, pathology, nuclear medicine, radiation oncology, and guideline development methodology. The current guideline is the 5th version, an updated version of the 4th edition. In this guideline, 6 key questions (KQs) were updated or proposed after a collaborative review by the working group, and 7 statements were developed, or revised, or discussed based on a systematic review using the MEDLINE, Embase, Cochrane Library, and KoreaMed database. Over the past 2 years, there have been significant changes in systemic treatment, leading to major updates and revisions focused on this area. Additionally, minor modifications have been made in other sections, incorporating recent research findings. The level of evidence and grading of recommendations were categorized according to the Grading of Recommendations, Assessment, Development and Evaluation system. Key factors for recommendation included the level of evidence, benefit, harm, and clinical applicability. The working group reviewed and discussed the recommendations to reach a consensus. The structure of this guideline remains similar to the 2022 version. Earlier sections cover general considerations, such as screening, diagnosis, and staging of endoscopy, pathology, radiology, and nuclear medicine. In the latter sections, statements are provided for each KQ based on clinical evidence, with flowcharts supporting these statements through meta-analysis and references. This multidisciplinary, evidence-based gastric cancer guideline aims to support clinicians in providing optimal care for gastric cancer patients.
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Affiliation(s)
- In-Ho Kim
- Division of Medical Oncology, Department of Internal Medicine, Seoul St. Mary's Hospital, The College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung Joo Kang
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
| | - Wonyoung Choi
- Center for Gastric Cancer, National Cancer Center, Goyang, Korea
| | - An Na Seo
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Bang Wool Eom
- Center for Gastric Cancer, National Cancer Center, Goyang, Korea
| | - Beodeul Kang
- Division of Medical Oncology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Bum Jun Kim
- Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University Medical Center, Hallym University College of Medicine, Anyang, Korea
| | - Byung-Hoon Min
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chung Hyun Tae
- Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Chang In Choi
- Department of Surgery, Pusan National University Hospital, Busan, Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Ho Jung An
- Division of Oncology, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Hwa Kyung Byun
- Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hyeon-Su Im
- Department of Hematology and Oncology, Ulsan University Hospital, Ulsan University College of Medicine, Ulsan, Korea
| | - Hyung-Don Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jang Ho Cho
- Division of Medical Oncology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea
| | - Jae-Joon Kim
- Division of Hematology and Oncology, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Jae Seok Bae
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Korea
| | - Jeong Il Yu
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Jeong Won Lee
- Department of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Jungyoon Choi
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Jwa Hoon Kim
- Division of Medical Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Miyoung Choi
- National Evidence-based Healthcare Collaborating Agency (NECA), Seoul, Korea
| | - Mi Ran Jung
- Department of Surgery, Chonnam National University Medical School, Gwangju, Korea
| | - Nieun Seo
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Soo Eom
- Department of Surgery, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Soomin Ahn
- Department of Pathology and Translational Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo Jin Kim
- Department of Radiology, National Cancer Center, Goyang, Korea
| | - Sung Hak Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sung Hee Lim
- Division of Hematology-Oncology, Department of Internal Medicine, Samsung Medical Center, Seoul, Korea
| | - Tae-Han Kim
- Department of Surgery, Gyeongsang National University Changwon Hospital, Changwon, Korea.
| | - Hye Sook Han
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea.
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Zhao J, Wang F, Wang RF. Nuclear medicine based multimodal molecular imaging facilitates precision medicine for gastrointestinal tumors. Shijie Huaren Xiaohua Zazhi 2024; 32:727-734. [DOI: 10.11569/wcjd.v32.i10.727] [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: 08/26/2024] [Revised: 09/23/2024] [Accepted: 10/21/2024] [Indexed: 10/28/2024] Open
Abstract
Gastric and colorectal cancers are the most common gastrointestinal malignancies, with high morbidity and mortality rates. Early diagnosis and accurate staging are of great significance for formulating reasonable clinical treatment plans, guiding surgical methods, effectively carrying out individualized comprehensive treatment, and estimating prognosis. As representatives of nuclear medicine based multimodal molecular imaging technologies, positron emission tomography/computed tomography and positron emission tomography/magnetic resonance imaging allow for obtaining the status of lesions throughout the body in one imaging procedure, and are less likely to miss distant and neighboring metastatic lesions. It is very important to truly achieve accurate disease classification and diagnosis, and develop individualized disease prevention and treatment plans. The emerging multimodal nuclide tracer molecular imaging technology has important clinical value in the diagnosis and treatment of gastric cancer and colorectal cancer. This article reviews the application and progress of the two examination methods in the diagnosis and staging of gastric cancer and colorectal cancer.
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Affiliation(s)
- Jing Zhao
- Department of Nuclear Medicine, Peking University International Hospital, Beijing 102206, China
| | - Fei Wang
- Department of Pharmacy, Peking University First Hospital, Beijing 100034, China
| | - Rong-Fu Wang
- Department of Nuclear Medicine, Peking University International Hospital, Beijing 102206, China
- Department of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China
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Mirshahvalad SA, Kohan A, Metser U, Hinzpeter R, Ortega C, Farag A, Veit-Haibach P. Diagnostic performance of whole-body [ 18F]FDG PET/MR in cancer M staging: A systematic review and meta-analysis. Eur Radiol 2024; 34:673-685. [PMID: 37535156 DOI: 10.1007/s00330-023-10009-3] [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: 01/17/2023] [Revised: 05/14/2023] [Accepted: 06/07/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVES To calculate the pooled diagnostic performances of whole-body [18F]FDG PET/MR in M staging of [18F]FDG-avid cancer entities. METHODS A diagnostic meta-analysis was conducted on the [18F]FDG PET/MR in M staging, including studies: (1) evaluated [18F]FDG PET/MR in detecting distant metastasis; (2) compared[ 18F]FDG PET/MR with histopathology, follow-up, or asynchronous multimodality imaging as the reference standard; (3) provided data for the whole-body evaluation; (4) provided adequate data to calculate the meta-analytic performances. Pooled performances were calculated with their confidence interval. In addition, forest plots, SROC curves, and likelihood ratio scatterplots were drawn. All analyses were performed using STATA 16. RESULTS From 52 eligible studies, 2289 patients and 2072 metastases were entered in the meta-analysis. The whole-body pooled sensitivities were 0.95 (95%CI: 0.91-0.97) and 0.97 (95%CI: 0.91-0.99) at the patient and lesion levels, respectively. The pooled specificities were 0.99 (95%CI: 0.97-1.00) and 0.97 (95%CI: 0.90-0.99), respectively. Additionally, subgroup analyses were performed. The calculated pooled sensitivities for lung, gastrointestinal, breast, and gynecological cancers were 0.90, 0.93, 1.00, and 0.97, respectively. The pooled specificities were 1.00, 0.98, 0.97, and 1.00, respectively. Furthermore, the pooled sensitivities for non-small cell lung, colorectal, and cervical cancers were 0.92, 0.96, and 0.86, respectively. The pooled specificities were 1.00, 0.95, and 1.00, respectively. CONCLUSION [18F]FDG PET/MR was a highly accurate modality in M staging in the reported [18F]FDG-avid malignancies. The results showed high sensitivity and specificity in each reviewed malignancy type. Thus, our findings may help clinicians and patients to be confident about the performance of [18F]FDG PET/MR in the clinic. CLINICAL RELEVANCE STATEMENT Although [18F]FDG PET/MR is not a routine imaging technique in current guidelines, mostly due to its availability and logistic issues, our findings might add to the limited evidence regarding its performance, showing a sensitivity of 0.95 and specificity of 0.97. KEY POINTS • The whole-body [18F]FDG PET/MR showed high accuracy in detecting distant metastases at both patient and lesion levels. • The pooled sensitivities were 95% and 97% and pooled specificities were 99% and 97% at patient and lesion levels, respectively. • The results suggested that 18F-FDG PET/MR was a strong modality in the exclusion and confirmation of distant metastases.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada.
| | - Andres Kohan
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Ur Metser
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Ricarda Hinzpeter
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Claudia Ortega
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Adam Farag
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, Ontario, M5G 2N2, Canada
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Kim TH, Kim IH, Kang SJ, Choi M, Kim BH, Eom BW, Kim BJ, Min BH, Choi CI, Shin CM, Tae CH, Gong CS, Kim DJ, Cho AEH, Gong EJ, Song GJ, Im HS, Ahn HS, Lim H, Kim HD, Kim JJ, Yu JI, Lee JW, Park JY, Kim JH, Song KD, Jung M, Jung MR, Son SY, Park SH, Kim SJ, Lee SH, Kim TY, Bae WK, Koom WS, Jee Y, Kim YM, Kwak Y, Park YS, Han HS, Nam SY, Kong SH. Korean Practice Guidelines for Gastric Cancer 2022: An Evidence-based, Multidisciplinary Approach. J Gastric Cancer 2023; 23:3-106. [PMID: 36750993 PMCID: PMC9911619 DOI: 10.5230/jgc.2023.23.e11] [Citation(s) in RCA: 129] [Impact Index Per Article: 64.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/22/2023] [Accepted: 01/25/2023] [Indexed: 02/09/2023] Open
Abstract
Gastric cancer is one of the most common cancers in Korea and the world. Since 2004, this is the 4th gastric cancer guideline published in Korea which is the revised version of previous evidence-based approach in 2018. Current guideline is a collaborative work of the interdisciplinary working group including experts in the field of gastric surgery, gastroenterology, endoscopy, medical oncology, abdominal radiology, pathology, nuclear medicine, radiation oncology and guideline development methodology. Total of 33 key questions were updated or proposed after a collaborative review by the working group and 40 statements were developed according to the systematic review using the MEDLINE, Embase, Cochrane Library and KoreaMed database. The level of evidence and the grading of recommendations were categorized according to the Grading of Recommendations, Assessment, Development and Evaluation proposition. Evidence level, benefit, harm, and clinical applicability was considered as the significant factors for recommendation. The working group reviewed recommendations and discussed for consensus. In the earlier part, general consideration discusses screening, diagnosis and staging of endoscopy, pathology, radiology, and nuclear medicine. Flowchart is depicted with statements which is supported by meta-analysis and references. Since clinical trial and systematic review was not suitable for postoperative oncologic and nutritional follow-up, working group agreed to conduct a nationwide survey investigating the clinical practice of all tertiary or general hospitals in Korea. The purpose of this survey was to provide baseline information on follow up. Herein we present a multidisciplinary-evidence based gastric cancer guideline.
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Affiliation(s)
- Tae-Han Kim
- Department of Surgery, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - In-Ho Kim
- Division of Medical Oncology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung Joo Kang
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center Seoul, Seoul, Korea
| | - Miyoung Choi
- National Evidence-based Healthcare Collaborating Agency (NECA), Seoul, Korea
| | - Baek-Hui Kim
- Department of Pathology, Korea University Guro Hospital, Seoul, Korea
| | - Bang Wool Eom
- Center for Gastric Cancer, National Cancer Center, Goyang, Korea
| | - Bum Jun Kim
- Division of Hematology-Oncology, Department of Internal Medicine, Hallym University Medical Center, Hallym University College of Medicine, Anyang, Korea
| | - Byung-Hoon Min
- Department of Medicine, Samsung Medical Center, Seoul, Korea
| | - Chang In Choi
- Department of Surgery, Pusan National University Hospital, Pusan, Korea
| | - Cheol Min Shin
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seungnam, Korea
| | - Chung Hyun Tae
- Department of Internal Medicine, Ewha Woman's University College of Medicine, Seoul, Korea
| | - Chung Sik Gong
- Division of Gastrointestinal Surgery, Department of Surgery, Asan Medical Center and University of Ulsan College of Medicine, Seoul, Korea
| | - Dong Jin Kim
- Department of Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | - Eun Jeong Gong
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea
| | - Geum Jong Song
- Department of Surgery, Soonchunhyang University, Cheonan, Korea
| | - Hyeon-Su Im
- Department of Hematology and Oncology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Hye Seong Ahn
- Department of Surgery, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Hyun Lim
- Department of Gastroenterology, Hallym University Sacred Heart Hospital, University of Hallym College of Medicine, Anyang, Korea
| | - Hyung-Don Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae-Joon Kim
- Division of Hematology-Oncology, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Jeong Il Yu
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Jeong Won Lee
- Department of Nuclear Medicine, Catholic Kwandong University, College of Medicine, Incheon, Korea
| | - Ji Yeon Park
- Department of Surgery, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jwa Hoon Kim
- Division of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Kyoung Doo Song
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea
| | - Minkyu Jung
- Division of Medical Oncology, Yonsei Cancer Center, Yonsei University Health System, Seoul, Korea
| | - Mi Ran Jung
- Department of Surgery, Chonnam National University Medical School, Gwangju, Korea
| | - Sang-Yong Son
- Department of Surgery, Ajou University School of Medicine, Suwon, Korea
| | - Shin-Hoo Park
- Department of Surgery, Korea University Anam Hospital, Seoul, Korea
| | - Soo Jin Kim
- Department of Radiology, National Cancer Center, Goyang, Korea
| | - Sung Hak Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Tae-Yong Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Woo Kyun Bae
- Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Korea
| | - Woong Sub Koom
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Yeseob Jee
- Department of Surgery, Dankook University Hospital, Cheonan, Korea
| | - Yoo Min Kim
- Department of Surgery, Severance Hospital, Seoul, Korea
| | - Yoonjin Kwak
- Department of Pathology, Seoul National University Hospital, Seoul, Korea
| | - Young Suk Park
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Hye Sook Han
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea.
| | - Su Youn Nam
- Department of Internal Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.
| | - Seong-Ho Kong
- Department of Surgery, Seoul National University Hospital and Seoul National University College of Medicine Cancer Research Institute, Seoul, Korea.
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Furtado FS, Suarez-Weiss KE, Amorim BJ, Clark JW, Picchio M, Harisinghani M, Catalano OA. Gastrointestinal imaging. CLINICAL PET/MRI 2023:333-364. [DOI: 10.1016/b978-0-323-88537-9.00015-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Jeon K, Kim SH, Yoo J, Kim SW. Added Value of the Sliding Sign on Right Down Decubitus CT for Determining Adjacent Organ Invasion in Patients with Advanced Gastric Cancer. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:1312-1326. [PMID: 36545416 PMCID: PMC9748461 DOI: 10.3348/jksr.2021.0166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/02/2021] [Accepted: 11/08/2021] [Indexed: 12/24/2022]
Abstract
Purpose To investigate the added value of right down decubitus (RDD) CT when determining adjacent organ invasion in cases of advanced gastric cancer (AGC). Materials and Methods A total of 728 patients with pathologically confirmed T4a (pT4a), surgically confirmed T4b (sT4b), or pathologically confirmed T4b (pT4b) AGCs who underwent dedicated stomach-protocol CT, including imaging of the left posterior oblique (LPO) and RDD positions, were included in this study. Two radiologists scored the T stage of AGCs using a 5-point scale on LPO CT with and without RDD CT at 2-week intervals and recorded the presence of "sliding sign" in the tumors and adjacent organs and compared its incidence of appearance. Results A total of 564 patients (77.4%) were diagnosed with pT4a, whereas 65 (8.9%) and 99 (13.6%) patients were diagnosed with pT4b and sT4b, respectively. When RDD CT was performed additionally, both reviewers deemed that the area under the curve (AUC) for differentiating T4b from T4a increased (p < 0.001). According to both reviewers, the AUC for differentiating T4b with pancreatic invasion from T4a increased in the subgroup analysis (p < 0.050). Interobserver agreement improved from fair to moderate (weighted kappa value, 0.296-0.444). Conclusion RDD CT provides additional value compared to LPO CT images alone for determining adjacent organ invasion in patients with AGC due to their increased AUC values and improved interobserver agreement.
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Tham E, Sestito M, Markovich B, Garland-Kledzik M. Current and future imaging modalities in gastric cancer. J Surg Oncol 2022; 125:1123-1134. [PMID: 35481912 DOI: 10.1002/jso.26875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/18/2022] [Accepted: 03/19/2022] [Indexed: 12/24/2022]
Abstract
Gastric adenocarcinoma treatment can include endoscopic mucosal resection, surgery, chemotherapy, radiation, and palliative measures depending on staging. Both invasive and noninvasive staging techniques have been used to dictate the best treatment pathway. Here, we review the current imaging modalities used in gastric cancer as well as novel techniques to accurately stage and screen these patients.
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Affiliation(s)
- Elwin Tham
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Michael Sestito
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Brian Markovich
- Department of Diagnostic Radiology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Mary Garland-Kledzik
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
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Maffei ME. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. Int J Mol Sci 2022; 23:1339. [PMID: 35163262 PMCID: PMC8835851 DOI: 10.3390/ijms23031339] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 02/08/2023] Open
Abstract
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.
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Affiliation(s)
- Massimo E Maffei
- Department Life Sciences and Systems Biology, University of Turin, Via Quarello 15/a, 10135 Turin, Italy
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Saiz Martínez R, Dromain C, Vietti Violi N. Imaging of Gastric Carcinomatosis. J Clin Med 2021; 10:5294. [PMID: 34830575 PMCID: PMC8624519 DOI: 10.3390/jcm10225294] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 11/06/2021] [Accepted: 11/11/2021] [Indexed: 01/17/2023] Open
Abstract
Diagnosing the absence or presence of peritoneal carcinomatosis in patients with gastric cancer, including its extent and distribution, is an essential step in patients' therapeutic management. Such diagnosis still remains a radiological challenge. In this article, we review the strengths and weaknesses of the different imaging techniques for the diagnosis of peritoneal carcinomatosis of gastric origin as well as the techniques' imaging features. We also discuss the assessment of response to treatment and present recommendations for the follow-up of patients with complete surgical resection according to the presence of risk factors of recurrence, as well as discussing future directions for imaging improvement.
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Affiliation(s)
| | - Clarisse Dromain
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1015 Lausanne, Switzerland;
| | - Naik Vietti Violi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1015 Lausanne, Switzerland;
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Xue B, Jiang J, Chen L, Wu S, Zheng X, Zheng X, Tang K. Development and Validation of a Radiomics Model Based on 18F-FDG PET of Primary Gastric Cancer for Predicting Peritoneal Metastasis. Front Oncol 2021; 11:740111. [PMID: 34765549 PMCID: PMC8576566 DOI: 10.3389/fonc.2021.740111] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 10/07/2021] [Indexed: 12/24/2022] Open
Abstract
Objectives The aim of this study was to develop a preoperative positron emission tomography (PET)-based radiomics model for predicting peritoneal metastasis (PM) of gastric cancer (GC). Methods In this study, a total of 355 patients (109PM+, 246PM-) who underwent preoperative fluorine-18-fludeoxyglucose (18F-FDG) PET images were retrospectively analyzed. According to a 7:3 ratio, patients were randomly divided into a training set and a validation set. Radiomics features and metabolic parameters data were extracted from PET images. The radiomics features were selected by logistic regression after using maximum relevance and minimum redundancy (mRMR) and the least shrinkage and selection operator (LASSO) method. The radiomics models were based on the rest of these features. The performance of the models was determined by their discrimination, calibration, and clinical usefulness in the training and validation sets. Results After dimensionality reduction, 12 radiomics feature parameters were obtained to construct radiomics signatures. According to the results of the multivariate logistic regression analysis, only carbohydrate antigen 125 (CA125), maximum standardized uptake value (SUVmax), and the radiomics signature showed statistically significant differences between patients (P<0.05). A radiomics model was developed based on the logistic analyses with an AUC of 0.86 in the training cohort and 0.87 in the validation cohort. The clinical prediction model based on CA125 and SUVmax was 0.76 in the training set and 0.69 in the validation set. The comprehensive model, which contained a rad-score and the clinical factor (CA125) as well as the metabolic parameter (SUVmax), showed promising performance with an AUC of 0.90 in the training cohort and 0.88 in the validation cohort, respectively. The calibration curve showed the actual rate of the nomogram-predicted probability of peritoneal metastasis. Decision curve analysis (DCA) also demonstrated the good clinical utility of the radiomics nomogram. Conclusions The comprehensive model based on the rad-score and other factors (SUVmax, CA125) can provide a novel tool for predicting peritoneal metastasis of gastric cancer patients preoperatively.
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Affiliation(s)
- Beihui Xue
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jia Jiang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lei Chen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Sunjie Wu
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuan Zheng
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiangwu Zheng
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Kun Tang
- Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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11
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Ao S, Wang Y, Song Q, Ye Y, Lyu G. Current status and future perspectives on neoadjuvant therapy in gastric cancer. Chin J Cancer Res 2021; 33:181-192. [PMID: 34158738 PMCID: PMC8181872 DOI: 10.21147/j.issn.1000-9604.2021.02.06] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022] Open
Abstract
Gastric cancer, with high morbidity and mortality rates, is one of the most heterogeneous tumors. Radical gastrectomy and postoperative chemotherapy are the standard treatments. However, the safety and efficacy of neoadjuvant therapy (NAT) need to be confirmed by many trials before implementation, creating a bottleneck in development. Although clinical benefits of NAT have been observed, a series of problems remain to be solved. Before therapy, more contributing factors should be offered for choice in the intended population and ideal regimens. Enhanced computed tomography (CT) scanning is usually applied to evaluate effectiveness according to Response Evaluation Criteria in Solid Tumors (RECIST), yet CT scanning results sometimes differ from pathological responses. After NAT, the appropriate time for surgery is still empirically defined. Our review aims to discuss the abovementioned issues regarding NAT for GC, including indications, selection of regimens, lesion assessment and NAT-surgery interval time.
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Affiliation(s)
- Sheng Ao
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Yuchen Wang
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Qingzhi Song
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Guoqing Lyu
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
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12
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Yoon I, Bae JS, Yoo J, Lee DH, Kim SH. Added value of [ 18F]FDG PET/MRI over MDCT alone in the staging of recurrent gastric cancer. Eur Radiol 2021; 31:7834-7844. [PMID: 33768290 DOI: 10.1007/s00330-021-07839-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/09/2021] [Accepted: 02/25/2021] [Indexed: 12/09/2022]
Abstract
OBJECTIVES To investigate whether 2-[18F]fluoro-2-deoxy-D-glucose ([18F]FDG) positron emission tomography/magnetic resonance imaging (PET/MRI) can improve the diagnostic performance of TNM staging and help in making an accurate decision regarding resectability in patients with recurrent gastric cancer compared to multi-detector computed tomography (MDCT). METHODS Fifty patients with histologically (n = 31) or clinically (n = 19) confirmed recurrent gastric cancer underwent both MDCT and [18F]FDG PET/MRI. Two radiologists independently assessed TNM staging using MDCT with and without [18F]FDG PET/MRI and scored resectability using a 5-point confidence scale. Diagnostic performance as assessed by radiologists was compared using McNemar's test and receiver operating characteristic curve analysis. RESULTS Of the 50 patients, pathologic T and N staging was available in seven and six patients, respectively. Diagnostic accuracies for T and N staging were not significantly different between MDCT with and without [18F]FDG PET/MRI for both reviewers (p > 0.05). However, for M staging, diagnostic accuracy was significantly improved when 18F-FDG PET/MRI was added to MDCT alone (68.0% [34/50] to 90.0% [45/50] for reviewer 1 [p = 0.001] and 66.0% [33/50] to 96.0% [46/50] for reviewer 2 [p < 0.001]). Regarding the resectability of recurrent gastric cancers, the addition of [18F]FDG PET/MRI increased the area under the curve values for both reviewers (from 0.860 to 0.989 for reviewer 1 and from 0.778 to 0.898 for reviewer 2), with a statistical significance for reviewer 2 (p = 0.002). CONCLUSION Compared to MDCT alone, MDCT plus [18F]FDG PET/MRI can improve the diagnostic accuracy for evaluating preoperative M staging as well as resectability for recurrent gastric cancers. KEY POINTS • [18F]FDG PET/MRI can improve diagnostic accuracy for preoperative M staging in patients with recurrent gastric cancers. • [18F]FDG PET/MRI can improve diagnostic accuracy for determining resectability in patients with recurrent gastric cancers. • [18F]FDG PET/MRI can provide critical clues for management options for recurrent gastric cancers.
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Affiliation(s)
- Ieun Yoon
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea
| | - Jae Seok Bae
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea
| | - Jeongin Yoo
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea
| | - Se Hyung Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. .,Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
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13
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Huang W, Zhou K, Jiang Y, Chen C, Yuan Q, Han Z, Xie J, Yu S, Sun Z, Hu Y, Yu J, Liu H, Xiao R, Xu Y, Zhou Z, Li G. Radiomics Nomogram for Prediction of Peritoneal Metastasis in Patients With Gastric Cancer. Front Oncol 2020; 10:1416. [PMID: 32974149 PMCID: PMC7468436 DOI: 10.3389/fonc.2020.01416] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 07/06/2020] [Indexed: 02/06/2023] Open
Abstract
Objective: The aim of this study is to evaluate whether radiomics imaging signatures based on computed tomography (CT) could predict peritoneal metastasis (PM) in gastric cancer (GC) and to develop a nomogram for preoperative prediction of PM status. Methods: We collected CT images of pathological T4 gastric cancer in 955 consecutive patients of two cancer centers to analyze the radiomics features retrospectively and then developed and validated the prediction model built from 292 quantitative image features in the training cohort and two validation cohorts. Lasso regression model was applied for selecting feature and constructing radiomics signature. Predicting model was developed by multivariable logistic regression analysis. Radiomics nomogram was developed by the incorporation of radiomics signature and clinical T and N stage. Calibration, discrimination, and clinical usefulness were used to evaluate the performance of the nomogram. Results: In training and validation cohorts, PM status was associated with the radiomics signature significantly. It was found that the radiomics signature was an independent predictor for peritoneal metastasis in multivariable logistic analysis. For training and internal and external validation cohorts, the area under the receiver operating characteristic curves (AUCs) of radiomics signature for predicting PM were 0.751 (95%CI, 0.703–0.799), 0.802 (95%CI, 0.691–0.912), and 0.745 (95%CI, 0.683–0.806), respectively. Furthermore, for training and internal and external validation cohorts, the AUCs of radiomics nomogram for predicting PM were 0.792 (95%CI, 0.748–0.836), 0.870 (95%CI, 0.795–0.946), and 0.815 (95%CI, 0.763–0.867), respectively. Conclusions: CT-based radiomics signature could predict peritoneal metastasis, and the radiomics nomogram can make a meaningful contribution for predicting PM status in GC patient preoperatively.
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Affiliation(s)
- Weicai Huang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Kangneng Zhou
- School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yuming Jiang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chuanli Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qingyu Yuan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhen Han
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jingjing Xie
- Center for Drug and Clinical Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shitong Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zepang Sun
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanfeng Hu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiang Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hao Liu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ruoxiu Xiao
- School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhiwei Zhou
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Guoxin Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
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14
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Shin CI, Kim SH. Normal and Abnormal Postoperative Imaging Findings after Gastric Oncologic and Bariatric Surgery. Korean J Radiol 2020; 21:793-811. [PMID: 32524781 PMCID: PMC7289697 DOI: 10.3348/kjr.2019.0822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 01/10/2020] [Accepted: 02/11/2020] [Indexed: 11/15/2022] Open
Abstract
Surgical resection remains the primary choice of treatment and the only potentially curative option for gastric carcinoma, and is increasingly performed laparoscopically. Gastric resection represents a challenging procedure, with a significant morbidity and non-negligible postoperative mortality. The interpretation of imaging after gastric surgery can be challenging due to significant modifications of the normal anatomy. After the surgery, the familiarity with expected imaging appearances is crucial for diagnosis and appropriate management of potentially life-threatening complications in patients who underwent gastric surgery. We review various surgical techniques used in gastric surgery and describe fluoroscopic and cross-sectional imaging appearances of normal postoperative anatomic changes as well as early and late complications after gastric surgery.
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Affiliation(s)
- Cheong Il Shin
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Se Hyung Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
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15
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Abstract
Gastric cancer is the fifth most common malignancies and the third leading cause of cancer-related death worldwide, with more than 40% of new cases occurring in China. With the advancement of treatment methods, the application of adjuvant therapy and targeted drugs, the prognosis of patients with gastric cancer has been significantly improved. In recent years, more and more studies have reported that magnetic resonance imaging (MRI) showed great value in the clinical application among patients with gastric cancer, including preoperative staging, treatment response evaluation, predicting prognosis and histopathological features, treatment guidance, and molecular imaging. The remarkable research progress of MRI in gastric cancer will provide new evaluation and treatment approaches for clinical diagnosis and treatment. This article aims to review the current status of the application and research progress of MRI in patients with gastric cancer.
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Affiliation(s)
- Yingjing Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jianchun Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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16
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Katabathina VS, Menias CO, Khanna L, Murphy L, Dasyam AK, Lubner MG, Prasad SR. Hereditary Gastrointestinal Cancer Syndromes: Role of Imaging in Screening, Diagnosis, and Management. Radiographics 2019; 39:1280-1301. [DOI: 10.1148/rg.2019180185] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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17
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Sun Z, Liu H, Yu J, Huang W, Han Z, Lin T, Chen H, Zhao M, Hu Y, Jiang Y, Li G. Frequency and Prognosis of Pulmonary Metastases in Newly Diagnosed Gastric Cancer. Front Oncol 2019; 9:671. [PMID: 31417862 PMCID: PMC6683847 DOI: 10.3389/fonc.2019.00671] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 07/09/2019] [Indexed: 12/26/2022] Open
Abstract
Purpose: The purpose of this study was to analyze the frequency and prognosis of pulmonary metastases in newly diagnosed gastric cancer using population-based data from SEER. Methods: Patients with gastric cancer and pulmonary metastases (GCPM) at the time of diagnosis in advanced gastric cancer were identified using the Surveillance, Epidemiology and End Result (SEER) database of the National Cancer Institute from 2010 to 2014. Multivariable logistic regression was performed to identify predictors of the presence of GCPM at diagnosis. Receiver operator characteristics analysis was performed to significant predictors on multivariable logistic regression and was then assessed with Delong's test. Multivariable Cox regression was developed to identify factors associated with all-cause mortality and gastric cancer-specific mortality. Survival curves were obtained according to the Kaplan-Meier method and compared using the log-rank test. Results: We identified 1,104 patients with gastric cancer and pulmonary metastases at the time of diagnosis, representing 6.02% of the entire cohort and 15.19% of the subset with metastatic disease to any distant site. Among the entire cohort, multivariable logistic regression identified six factors (younger, upper 1/3 of stomach, intestinal-type, T4 staging, N1 staging, and presence of more extrapulmonary metastases to liver, bone, and brain) as positive predictors of the presence of pulmonary metastases at diagnosis. The value of AUC for the multivariable logistic regression model was 0.775. Median survival among the entire cohort with GCPM was 3.0 months (interquartile range: 1.0-9.0 mo). Multivariable Cox model in SEER cohort confirmed five factors (diagnosis at previous period, black race, adverse pathology grade, absence of chemotherapy, and presence of more extrapulmonary metastases to liver, bone, and brain) as negative predictors for overall survival. Conclusions: The findings of this study provided population-based estimates of the frequency and prognosis for GCPM at time of diagnosis. The multivariable logistic regression model had an acceptable performance to predict the presence of PM. These findings may provide preventive guidelines for the screening and treatment of PM in GC patients. Patients with high risk factors should be paid more attention before and after diagnosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Yuming Jiang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guoxin Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
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18
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Jiang Y, Wang W, Chen C, Zhang X, Zha X, Lv W, Xie J, Huang W, Sun Z, Hu Y, Yu J, Li T, Zhou Z, Xu Y, Li G. Radiomics Signature on Computed Tomography Imaging: Association With Lymph Node Metastasis in Patients With Gastric Cancer. Front Oncol 2019; 9:340. [PMID: 31106158 PMCID: PMC6498894 DOI: 10.3389/fonc.2019.00340] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 04/12/2019] [Indexed: 12/24/2022] Open
Abstract
Background: To evaluate whether radiomic feature-based computed tomography (CT) imaging signatures allow prediction of lymph node (LN) metastasis in gastric cancer (GC) and to develop a preoperative nomogram for predicting LN status. Methods: We retrospectively analyzed radiomics features of CT images in 1,689 consecutive patients from three cancer centers. The prediction model was developed in the training cohort and validated in internal and external validation cohorts. Lasso regression model was utilized to select features and build radiomics signature. Multivariable logistic regression analysis was utilized to develop the model. We integrated the radiomics signature, clinical T and N stage, and other independent clinicopathologic variables, and this was presented as a radiomics nomogram. The performance of the nomogram was assessed with calibration, discrimination, and clinical usefulness. Results: The radiomics signature was significantly associated with pathological LN stage in training and validation cohorts. Multivariable logistic analysis found the radiomics signature was an independent predictor of LN metastasis. The nomogram showed good discrimination and calibration. Conclusions: The newly developed radiomic signature was a powerful predictor of LN metastasis and the radiomics nomogram could facilitate the preoperative individualized prediction of LN status.
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Affiliation(s)
- Yuming Jiang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wei Wang
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chuanli Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaodong Zhang
- Department of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Xuefan Zha
- School of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Wenbing Lv
- School of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Jingjing Xie
- Center for Drug and Clinical Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Weicai Huang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zepang Sun
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanfeng Hu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiang Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Tuanjie Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhiwei Zhou
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guoxin Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
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19
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Lee DH, Kim SH, Lee SM, Han JK. Prediction of Treatment Outcome of Chemotherapy Using Perfusion Computed Tomography in Patients with Unresectable Advanced Gastric Cancer. Korean J Radiol 2019; 20:589-598. [PMID: 30887741 PMCID: PMC6424833 DOI: 10.3348/kjr.2018.0306] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 10/03/2018] [Indexed: 02/06/2023] Open
Abstract
Objective To evaluate whether data acquired from perfusion computed tomography (PCT) parameters can aid in the prediction of treatment outcome after palliative chemotherapy in patients with unresectable advanced gastric cancer (AGC). Materials and Methods Twenty-one patients with unresectable AGCs, who underwent both PCT and palliative chemotherapy, were prospectively included. Treatment response was assessed according to Response Evaluation Criteria in Solid Tumors version 1.1 (i.e., patients who achieved complete or partial response were classified as responders). The relationship between tumor response and PCT parameters was evaluated using the Mann-Whitney test and receiver operating characteristic analysis. One-year survival was estimated using the Kaplan-Meier method. Results After chemotherapy, six patients exhibited partial response and were allocated to the responder group while the remaining 15 patients were allocated to the non-responder group. Permeability surface (PS) value was shown to be significantly different between the responder and non-responder groups (51.0 mL/100 g/min vs. 23.4 mL/100 g/min, respectively; p = 0.002), whereas other PCT parameters did not demonstrate a significant difference. The area under the curve for prediction in responders was 0.911 (p = 0.004) for PS value, with a sensitivity of 100% (6/6) and specificity of 80% (12/15) at a cut-off value of 29.7 mL/100 g/min. One-year survival in nine patients with PS value > 29.7 mL/100 g/min was 66.7%, which was significantly higher than that in the 12 patients (33.3%) with PS value ≤ 29.7 mL/100 g/min (p = 0.019). Conclusion Perfusion parameter data acquired from PCT demonstrated predictive value for treatment outcome after palliative chemotherapy, reflected by the significantly higher PS value in the responder group compared with the non-responder group.
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Affiliation(s)
- Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Se Hyung Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
| | - Sang Min Lee
- Department of Radiology, Hallym University Sacred Heart Hospital, Seoul, Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
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20
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Borggreve AS, Goense L, Brenkman HJF, Mook S, Meijer GJ, Wessels FJ, Verheij M, Jansen EPM, van Hillegersberg R, van Rossum PSN, Ruurda JP. Imaging strategies in the management of gastric cancer: current role and future potential of MRI. Br J Radiol 2019; 92:20181044. [PMID: 30789792 DOI: 10.1259/bjr.20181044] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Accurate preoperative staging of gastric cancer and the assessment of tumor response to neoadjuvant treatment is of importance for treatment and prognosis. Current imaging techniques, mainly endoscopic ultrasonography (EUS), computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), have their limitations. Historically, the role of magnetic resonance imaging (MRI) in gastric cancer has been limited, but with the continuous technical improvements, MRI has become a more potent imaging technique for gastrointestinal malignancies. The accuracy of MRI for T- and N-staging of gastric cancer is similar to EUS and CT, making MRI a suitable alternative to other imaging strategies. There is limited evidence on the performance of MRI for M-staging of gastric cancer specifically, but MRI is widely used for diagnosing liver metastases and shows potential for diagnosing peritoneal seeding. Recent pilot studies showed that treatment response assessment as well as detection of lymph node metastases and systemic disease might benefit from functional MRI (e.g. diffusion weighted imaging and dynamic contrast enhancement). Regarding treatment guidance, additional value of MRI might be expected from its role in better defining clinical target volumes and setup verification with MR-guided radiation treatment.
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Affiliation(s)
- Alicia S Borggreve
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands.,2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Lucas Goense
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands.,2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Hylke J F Brenkman
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Stella Mook
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Gert J Meijer
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Frank J Wessels
- 3 Department of Radiology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Marcel Verheij
- 4 Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek (NKI-AVL) , Amsterdam , Netherlands
| | - Edwin P M Jansen
- 4 Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek (NKI-AVL) , Amsterdam , Netherlands
| | - Richard van Hillegersberg
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Peter S N van Rossum
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Jelle P Ruurda
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
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21
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Early response evaluation of neoadjuvant therapy with PET/MRI to predict resectability in patients with adenocarcinoma of the esophagogastric junction. Abdom Radiol (NY) 2019; 44:836-844. [PMID: 30467723 DOI: 10.1007/s00261-018-1841-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
STUDY DESIGN AND PURPOSE Positron emission tomography (PET)/magnetic resonance imaging (MRI) is a new modality that has showed promising results for various clinical indications. Currently, evaluation of neoadjuvant therapy (NT) among patients with adenocarcinoma of the esophagogastric junction has primarily been reserved for PET/computed tomography. Our aim was to evaluate if early response evaluation by PET/MRI is a feasible method to predict resectability. METHODS AND MATERIALS Patients with untreated adenocarcinoma of the esophagogastric junction (Siewert types I/II) and fit for NT with no contraindications for PET/MRI were considered eligible. A baseline scan was performed prior to NT induction and an evaluation scan 3 weeks later. For histopathological response evaluation, the Mandard tumor regression grade score was applied. Response on PET/MRI was evaluated with Response Evaluation Criteria in Solid Tumors (RECIST 1.1), and change in ADC and SUVmax values. RESULTS Twenty-eight patients were enrolled, and 22 completed both scans and proceeded to final analyses. Seventeen patients were found resectable versus five who were found unresectable. PET/MRI response evaluation had a sensitivity 94%, specificity 80%, and AUC = 0.95 when predicting resectability in patients with adenocarcinoma of the esophagogastric junction. No association with histopathological response (tumor regression grade) was found nor was RECIST correlated with resectability. CONCLUSION Response evaluation using PET/MRI was a feasible method to predict resectability in patients with adenocarcinoma of the esophagogastric junction in this pilot study. However, larger studies are warranted to justify the use of the modality for this indication.
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Comparing PET/MRI with PET/CT for Pretreatment Staging of Gastric Cancer. Gastroenterol Res Pract 2019; 2019:9564627. [PMID: 30863443 PMCID: PMC6378050 DOI: 10.1155/2019/9564627] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 10/19/2018] [Accepted: 11/08/2018] [Indexed: 12/13/2022] Open
Abstract
18F-FDG PET/MRI has been applied to the diagnosis and preoperative staging in various tumor types; however, reports using PET/MRI in gastric cancer are rare because of motion artifacts. We investigated the value of PET/MRI for preoperative staging compared with PET/CT in gastric cancer (GC). Thirty patients with confirmed GC underwent PET/CT and PET/MRI. TNM staging for each patient was determined from the PET/MRI and PET/CT images. The diagnostic performance of PET/MRI and PET/CT was calculated compared with the pathologic TNM stage. The two methods were compared using statistical analyses. The accuracy for T staging between PET/MRI and PET/CT was 76.9% vs. 57.7%, respectively. In T1 and T4a staging, the sensitivity and specificity for PET/MRI vs. PET/CT was 1.0 vs. 0.6 and 1.0 vs. 0.8, respectively. The area under the curve (AUC) for PET/MRI vs. PET/CT was 1.00 vs. 0.78 in the T1 stage, 0.73 vs. 0.66 in the T2 stage, 0.72 vs. 0.57 in the T3 stage, and 0.86 vs. 0.83 in the T4 stage. The accuracy for N staging of PET/MRI vs. PET/CT was 53.9% vs. 34.0%, and that for N0 vs. N+ was 85.0% vs. 77.0%. The sensitivity for PET/MRI in N3 staging was 0.67 and 0 for PET/CT. There was a statistically significant difference in the AUC for N1 staging (PET/MRI vs. PET/CT, 0.63 vs. 0.53, p = 0.03). SUVmax/ADC positively correlated with tumor volume and Ki-67. PET/MRI performs more accurately in TNM staging compared with PET/CT and is optimal for accurate N staging. SUVmax/ADC has positive correlations with tumor volume and Ki-67.
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Pang L, Wang J, Fan Y, Xu R, Bai Y, Bai L. Correlations of TNM staging and lymph node metastasis of gastric cancer with MRI features and VEGF expression. Cancer Biomark 2018; 23:53-59. [PMID: 30010108 DOI: 10.3233/cbm-181287] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To investigate the correlations of expression of vascular endothelial growth factor (VEGF) in gastric cancer tissues of patients and magnetic resonance imaging (MRI) features with clinical tumor-node-metastasis (TNM) staging and lymph node metastasis, and to analyze the diagnostic value of MRI features for preoperative TNM staging and lymph node metastasis of patients with gastric cancer, and the roles of VEGF in tumor development and metastasis. METHODS A total of 120 gastric cancer patients treated in our hospital from May 2015 to July 2017 were selected as objects of study. The VEGF protein expressions in gastric cancer tissues of patients with different TNM staging and lymph node metastasis degrees were detected using immunohistochemical method, and the correlations of VEGF protein expression with TNM staging and lymph node metastasis were analyzed. Before operation, MRI was used to predict TNM staging and lymph node metastasis of all patients, and prediction results were compared with postoperative pathological diagnosis results. At the same time, the differences in lymph node apparent diffusion coefficient (ADC), long diameter and short diameter, relative ADC of primary lesion (rADCp) and relative ADC of muscle (rADCm) were compared and analyzed between lymph node metastasis group and non-lymph node metastasis group. RESULTS The VEGF expression in patients with stage-N3 gastric cancer was about 7 times that in patients with stage-N0 gastric cancer, and it was increased with the increased degree of lymph node metastasis (p< 0.01). The VEGF expression in patients with distant metastasis of tumor cells was significantly higher than that in patients without distant metastasis (p< 0.01). The expression of VEGF in stage-T4 gastric cancer was about 10 times that in stage-Tis cancer, and the larger the infiltration depth of tumor cells was, the higher the expression level of VEGF would be (p< 0.01). The VEGF expression in gastric cancer tissues was positively correlated with the infiltration depth, lymph node metastasis and distant metastasis of tumor cells. Moreover, the prediction results of MRI for TNM staging and lymph node metastasis before operation were compared with postoperative pathological results, and it was found that there was better consistency (Kappa = 0.739). ADC, rADCp and rADCm in gastric cancer patients without lymph node metastasis were significantly higher than those in patients with lymph node metastasis, but the short diameter and long diameter were obviously shorter than those in patients with lymph node metastasis, and the differences were statistically significant (p< 0.05). CONCLUSION The VEGF protein expression in gastric cancer tissues is positively correlated with TNM staging and lymph node metastasis in patients. The preoperative prediction results of MRI are well consistent with postoperative pathological results, and MRI features are correlated with lymph node metastasis in patients, which has an important guiding significance for the diagnosis and treatment of gastric cancer.
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Affiliation(s)
- Lan Pang
- Department of Nuclear Magnetic Resonance, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
| | - Jing Wang
- Department of Orthopedics, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
| | - Yong Fan
- Department General Surgery, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
| | - Rui Xu
- Department Radiography Center, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
| | - Yuping Bai
- Department of Nuclear Magnetic Resonance, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
| | - Liangcai Bai
- Department Radiography Center, Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China
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Morgant S, Artru P, Oudjit A, Lourenco N, Pasquer A, Walter T, Gornet JM, Rouquette A, Lledo G, Brezault C, Coriat R. Computed tomography scan efficacy in staging gastric linitis plastica lesion: a retrospective multicentric French study. Cancer Manag Res 2018; 10:3825-3831. [PMID: 30288113 PMCID: PMC6161744 DOI: 10.2147/cmar.s163141] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Computed tomography (CT) scan is a key imaging technique in the staging of gastric adenocarcinoma and therapeutic management of patients. The aim of this study was to evaluate the performance of CT scan in the staging of parietal and metastatic invasion in gastric linitis plastica group. Methods A retrospective multicentric French study was conducted from January 2006 to December 2015 on patients with no metastatic gastric linitis plastica and operated by gastrec-tomy. A 2/1 matching based on pTNM stage and center was performed. Results Fifty patients were included in the linitis plastica group and 100 in the control group. Patients from the linitis group were significantly different from those from the control group with a lower age at diagnosis, a more advanced histological lesion, a more frequent undiagnosed peritoneal carcinomatosis, and a higher risk of R1 resection. Sensitivity and specificity of CT scan for the diagnosis of lymph node involvement were 44% and 75%, respectively, in the linitis plastica group and 55% and 60%, respectively, in the control group. The sensitivity and specificity of CT scan for the T3–T4 parietal invasion were 26% and 100%, respectively, in the linitis group and 40% and 72%, respectively, in the control group. Conclusion CT scan has an equal sensitivity and specificity for the evaluation of lymph node and parietal involvement in gastric adenocarcinoma, including linitis plastica. CT scan remains the cornerstone of preoperative evaluation in gastric adenocarcinoma, including linitis plastica. However, CT presents a lack of sensitivity to diagnose low-volume peritoneal carcinomatosis.
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Affiliation(s)
- Stéphanie Morgant
- Gastroenterology and Digestive Oncology Unit, Cochin Teaching Hospital, Paris, France,
| | - Pascal Artru
- Gastroenterology and Digestive Unit, Jean Mermoz Clinic, Lyon, France
| | - Ammar Oudjit
- Radiology Unit, Cochin Teaching Hospital, Paris, France
| | - Nelson Lourenco
- Gastroenterology Unit, Saint-Louis Teaching Hospital, Paris, France
| | - Arnaud Pasquer
- Digestive Surgery Unit, Edouard Herriot Teaching Hospital, Lyon, France
| | - Thomas Walter
- Oncology Unit, Edouard Herriot Teaching Hospital, Lyon, France
| | - Jean-Marc Gornet
- Gastroenterology Unit, Saint-Louis Teaching Hospital, Paris, France
| | | | - Gérard Lledo
- Gastroenterology and Digestive Unit, Jean Mermoz Clinic, Lyon, France
| | - Catherine Brezault
- Gastroenterology and Digestive Oncology Unit, Cochin Teaching Hospital, Paris, France,
| | - Romain Coriat
- Gastroenterology and Digestive Oncology Unit, Cochin Teaching Hospital, Paris, France,
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25
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PET/MRI for Gastrointestinal Imaging: Current Clinical Status and Future Prospects. Gastroenterol Clin North Am 2018; 47:691-714. [PMID: 30115444 DOI: 10.1016/j.gtc.2018.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Positron emission tomography (PET)/computed tomography (CT) with 2-deoxy-2-[18F]fluoro-d-glucose (FDG) has become the standard of care for the initial staging and subsequent treatment response assessment for numerous gastrointestinal malignancies. However, it is often supplemented by magnetic resonance imaging (MRI) for local tumor staging. Hybrid PET/MRI scanners, which acquire PET data and MRI data simultaneously, have the potential to provide accurate whole-body staging in a single examination. Furthermore, to address certain limitations of FDG, many new PET tracers have been developed to probe distinctive aspects of tumor biology.
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Bailey DL, Pichler BJ, Gückel B, Antoch G, Barthel H, Bhujwalla ZM, Biskup S, Biswal S, Bitzer M, Boellaard R, Braren RF, Brendle C, Brindle K, Chiti A, la Fougère C, Gillies R, Goh V, Goyen M, Hacker M, Heukamp L, Knudsen GM, Krackhardt AM, Law I, Morris JC, Nikolaou K, Nuyts J, Ordonez AA, Pantel K, Quick HH, Riklund K, Sabri O, Sattler B, Troost EGC, Zaiss M, Zender L, Beyer T. Combined PET/MRI: Global Warming-Summary Report of the 6th International Workshop on PET/MRI, March 27-29, 2017, Tübingen, Germany. Mol Imaging Biol 2018; 20:4-20. [PMID: 28971346 PMCID: PMC5775351 DOI: 10.1007/s11307-017-1123-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The 6th annual meeting to address key issues in positron emission tomography (PET)/magnetic resonance imaging (MRI) was held again in Tübingen, Germany, from March 27 to 29, 2017. Over three days of invited plenary lectures, round table discussions and dialogue board deliberations, participants critically assessed the current state of PET/MRI, both clinically and as a research tool, and attempted to chart future directions. The meeting addressed the use of PET/MRI and workflows in oncology, neurosciences, infection, inflammation and chronic pain syndromes, as well as deeper discussions about how best to characterise the tumour microenvironment, optimise the complementary information available from PET and MRI, and how advanced data mining and bioinformatics, as well as information from liquid biomarkers (circulating tumour cells and nucleic acids) and pathology, can be integrated to give a more complete characterisation of disease phenotype. Some issues that have dominated previous meetings, such as the accuracy of MR-based attenuation correction (AC) of the PET scan, were finally put to rest as having been adequately addressed for the majority of clinical situations. Likewise, the ability to standardise PET systems for use in multicentre trials was confirmed, thus removing a perceived barrier to larger clinical imaging trials. The meeting openly questioned whether PET/MRI should, in all cases, be used as a whole-body imaging modality or whether in many circumstances it would best be employed to give an in-depth study of previously identified disease in a single organ or region. The meeting concluded that there is still much work to be done in the integration of data from different fields and in developing a common language for all stakeholders involved. In addition, the participants advocated joint training and education for individuals who engage in routine PET/MRI. It was agreed that PET/MRI can enhance our understanding of normal and disrupted biology, and we are in a position to describe the in vivo nature of disease processes, metabolism, evolution of cancer and the monitoring of response to pharmacological interventions and therapies. As such, PET/MRI is a key to advancing medicine and patient care.
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Affiliation(s)
- D L Bailey
- Department of Nuclear Medicine, Royal North Shore Hospital, and Faculty of Health Sciences, University of Sydney, Sydney, Australia
| | - B J Pichler
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard-Karls-Universität, Tübingen, Germany
| | - B Gückel
- Department of Diagnostic and Interventional Radiology, University of Tübingen, Tübingen, Germany
| | - G Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany
| | - H Barthel
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Z M Bhujwalla
- Division of Cancer Imaging Research, Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - S Biskup
- Praxis für Humangenetik Tübingen, Paul-Ehrlich-Str. 23, 72076, Tübingen, Germany
| | - S Biswal
- Molecular Imaging Program at Stanford (MIPS) and Bio-X, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - M Bitzer
- Department of Internal Medicine I, Eberhard-Karls University, Tübingen, Germany
| | - R Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - R F Braren
- Institute of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - C Brendle
- Diagnostic and Interventional Neuroradiology, Department of Radiology, Eberhard Karls University, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany
| | - K Brindle
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1GA, UK
| | - A Chiti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Department of Nuclear Medicine, Humanitas Research Hospital, Milan, Italy
| | - C la Fougère
- Department of Radiology, Nuclear Medicine and Clinical Molecular Imaging, Eberhard-Karls-Universität, Tübingen, Germany
| | - R Gillies
- Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33621, USA
| | - V Goh
- Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Radiology, Guy's & St Thomas' Hospitals London, London, UK
| | - M Goyen
- GE Healthcare GmbH, Beethovenstrasse 239, Solingen, Germany
| | - M Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - G M Knudsen
- Neurobiology Research Unit, Rigshospitalet and Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - A M Krackhardt
- III. Medical Department, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - I Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - J C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - K Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tübingen, Tübingen, Germany
| | - J Nuyts
- Nuclear Medicine & Molecular Imaging, KU Leuven, Leuven, Belgium
| | - A A Ordonez
- Department of Pediatrics, Center for Infection and Inflammation Imaging Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - K Pantel
- Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - H H Quick
- High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany
- Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Essen, Germany
| | - K Riklund
- Department of Radiation Sciences, Umea University, Umea, Sweden
| | - O Sabri
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - B Sattler
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - E G C Troost
- OncoRay-National Center for Radiation Research in Oncology, Dresden, Germany
- Institute of Radiooncology-OncoRay, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy, University Hospital Carl Gustav Carus and Medical Faculty of Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
| | - M Zaiss
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - L Zender
- Department of Internal Medicine VIII, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Beyer
- QIMP Group, Center for Medical Physics and Biomedical Engineering General Hospital Vienna, Medical University Vienna, 4L, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Preoperative tumor restaging and resectability assessment of gastric cancers after chemotherapy: diagnostic accuracy of MDCT using new staging criteria. Abdom Radiol (NY) 2017. [PMID: 28643135 DOI: 10.1007/s00261-017-1224-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To evaluate the diagnostic performance of preoperative MDCT for tumor restaging and determination of resectability in gastric cancers after chemotherapy using new staging criteria. METHODS This retrospective study was approved by our institutional review board and the requirement for informed consent was waived. Thirty-seven patients with initially unresectable gastric cancers who had received chemotherapy followed by surgery were included. Two independent radiologists reviewed preoperative MDCT images to determine the TNM staging and rate the overall likelihood of resectability using a 5-point scale (5: definitely unresectable, 1: definitely resectable). New post-chemotherapy MDCT criteria do not use non-enhancing perigastric infiltrations, non-enhancing lymph nodes (LNs), and subtle remaining infiltrations after marked decrease in the size of distant metastases for T, N, and M upstaging, respectively. Discrepancies in TNM staging were resolved by a third reviewer. The diagnostic performances of MDCT were assessed using pathologic results or operation records as reference standards. RESULTS For predicting resectability, the areas under the ROC curve were 0.885 and 0.882 (95% CIs 0.737-0.966 and 0.733-0.964) in reviewers 1 and 2, respectively, with substantial inter-reader agreement (weighted κ = 0.689). Sensitivities and specificities of MDCT for tumor restaging on a consensus review were 80.0% (4/5) and 100% (29/29) for T4b, 35.3% (6/17) and 81.3% (13/16) for N-positive, and 63.6% (7/11) and 100% (26/26) for M1, respectively. CONCLUSIONS For gastric cancers after chemotherapy, new MDCT criteria demonstrated high specificities for T4b and M-staging and good performances to predict resectability before conversion surgery.
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Baxa J, Ferdova E, Ferda J. PET/MRI of the thorax, abdomen and retroperitoneum: Benefits of the breathing-synchronized scanning. Eur J Radiol 2017; 94:A35-A43. [PMID: 28274619 DOI: 10.1016/j.ejrad.2017.02.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 02/23/2017] [Indexed: 01/16/2023]
Abstract
Hybrid imaging using various radiopharmaceuticals is currently essential not only in detection and therapy response monitoring of tumors, but also in assessment of inflammatory or systemic diseases. Combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) is still relatively new method with great prospects of comprehensive assessment using anatomical and multiple functional information. However, benefits of PET/MRI in thorax, abdomen and retroperitoneum are not completely defined. Breathing movements affect imaging of thoracic, abdominal and retroperitoneal organs and pathological structures using PET and MRI. Fast MRI sequences are performed using breath-hold technique; however, acquisition of longer sequences and PET scanning need to be breathing-synchronized. Review article summarizes concrete PET/MRI protocols and importance of concrete MRI sequences and radiopharmaceuticals in different pathological lesions with focus on benefit of breathing-synchronized techniques.
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Affiliation(s)
- Jan Baxa
- Department of Imaging Methods, University Hospital Pilsen,Czech Republic; Faculty of Medicine in Pilsen, Charles University, Czech Republic.
| | - Eva Ferdova
- Department of Imaging Methods, University Hospital Pilsen,Czech Republic
| | - Jiří Ferda
- Department of Imaging Methods, University Hospital Pilsen,Czech Republic; Faculty of Medicine in Pilsen, Charles University, Czech Republic
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