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Ho SYA, Tay KV. Systematic review of diagnostic tools for peritoneal metastasis in gastric cancer-staging laparoscopy and its alternatives. World J Gastrointest Surg 2023; 15:2280-2293. [PMID: 37969710 PMCID: PMC10642463 DOI: 10.4240/wjgs.v15.i10.2280] [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: 03/12/2023] [Revised: 05/16/2023] [Accepted: 06/12/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Gastric cancer is one of the leading causes of cancer burden and mortality, often resulting in peritoneal metastasis in advanced stages with negative survival outcomes. Staging laparoscopy has become standard practice for suspected cases before a definitive gastrectomy or palliation. This systematic review aims to compare the efficacy of other diagnostic modalities instead of staging laparoscopy as the alternatives are able to reduce cost and invasive staging procedures. Recently, a radiomic model based on computed tomography and positron emission tomography (PET) has also emerged as another method to predict peritoneal metastasis. AIM To determine if the efficacy of computed tomography, magnetic resonance imaging and PET is comparable with staging laparoscopy. METHODS Articles comparing computed tomography, PET, magnetic resonance imaging, and radiomic models based on computed tomography and PET to staging laparoscopies were filtered out from the Cochrane Library, EMBASE, PubMed, Web of Science, and Reference Citations Analysis (https://www.referencecitationanalysis.com/). In the search for studies comparing computed tomography (CT) to staging laparoscopy, five retrospective studies and three prospective studies were found. Similarly, five retrospective studies and two prospective studies were also included for papers comparing CT to PET scans. Only one retrospective study and one prospective study were found to be suitable for papers comparing CT to magnetic resonance imaging scans. RESULTS Staging laparoscopy outperformed computed tomography in all measured aspects, namely sensitivity, specificity, positive predictive value and negative predictive value. Magnetic resonance imaging and PET produced mixed results, with the former shown to be only marginally better than computed tomography. CT performed slightly better than PET in most measured domains, except in specificity and true negative rates. We speculate that this may be due to the limited F-fluorodeoxyglucose uptake in small peritoneal metastases and in linitis plastica. Radiomic modelling, in its current state, shows promise as an alternative for predicting peritoneal metastases. With further research, deep learning and radiomic modelling can be refined and potentially applied as a preoperative diagnostic tool to reduce the need for invasive staging laparoscopy. CONCLUSION Staging laparoscopy was superior in all measured aspects. However, associated risks and costs must be considered. Refinements in radiomic modelling are necessary to establish it as a reliable screening technique.
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Affiliation(s)
| | - Kon Voi Tay
- Upper GI and Bariatric Division, General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Upper GI and Bariatric Division, General Surgery, Woodlands Health, Singapore 768024, Singapore
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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: 72] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [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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Gülbahar Ateş S, Aydos U, Akdemir ÜÖ, Yüksel O, Üner A, Dursun A, Atay LÖ. Respiratory-gated 18F Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance Imaging in Evaluation of Primary Gastric Lesions and Gastric Lymph Nodes in Patients with Gastric Cancer. Clin Oncol (R Coll Radiol) 2022; 34:810-818. [PMID: 36192283 DOI: 10.1016/j.clon.2022.09.044] [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: 12/22/2021] [Revised: 07/21/2022] [Accepted: 09/12/2022] [Indexed: 01/31/2023]
Abstract
AIMS To evaluate the added value of respiratory-gated positron emission tomography (PET) in 18F fluorodeoxyglucose (FDG) PET/magnetic resonance imaging (MRI) in the visual and semi-quantitative assessment of primary gastric lesions and gastric lymph nodes for patients with gastric cancer. MATERIALS AND METHODS In total, 102 upper abdominal respiratory-gated and whole-body 18F FDG PET/MRI of 88 patients with gastric cancer were evaluated visually and semi-quantitatively. For 41 patients who underwent surgery, histopathological and PET findings were compared. Three PET images were obtained from upper abdominal PET data: non-Q static (non-QS) PET from all counts, respiratory-gated Q static (QS) PET from counts in the end-expiration phase of breathing, shortened 4 min (S4min) PET that was reconstructed to obtain similar counts to QS PET. The semi-quantitative parameters (standardised uptake values, metabolic tumour volume, total lesion glycolysis) of primary lesions for each PET image, the sizes of primary lesions and the patient's body mass index were recorded. According to lymph node stations, the presence and numbers of positive lymph nodes and visual scores of lymph nodes for each PET image were recorded. RESULTS The patients with smaller gastric lesions (≤30 mm) or higher body mass index (>30) had significantly higher standardised uptake value percentage changes in QS PET compared with non-QS PET (all P < 0.05). The third (lesser curvature), fourth (greater curvature) and sixth (infra-pyloric) lymph node stations had significantly higher visual scores in the QS PET than in the others. The fourth lymph node station had a significantly higher number of FDG-positive lymph node in the QS PET than in the non-QS and the whole-body PET images. In the fourth station, sensitivity, positive predictive value, negative predictive value and accuracy increased in the QS PET compared with the others. CONCLUSION Respiratory-gated PET/MRI was found to be significantly superior in the evaluation of especially the fourth lymph node station, smaller gastric lesions and in the patients with a higher BMI compared with the non-respiratory-gated PET images.
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Affiliation(s)
- S Gülbahar Ateş
- Department of Nuclear Medicine, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, University of Health Sciences, Ankara, Turkey.
| | - U Aydos
- Department of Nuclear Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Ü Ö Akdemir
- Department of Nuclear Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - O Yüksel
- Department of General Surgery, Gazi University Faculty of Medicine, Ankara, Turkey
| | - A Üner
- Department of Internal Medicine, Division of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey
| | - A Dursun
- Department of Pathology, Gazi University Faculty of Medicine, Ankara, Turkey
| | - L Ö Atay
- Department of Nuclear Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
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Wang S, Jing S, Du B, Li Y, Li X. HER2-Negative Schnitzler Metastasis to the Rectum Detected Using 18 F-FDG PET/CT. Clin Nucl Med 2022; 47:826-827. [PMID: 35384884 DOI: 10.1097/rlu.0000000000004208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
ABSTRACT Gastric carcinoma metastasis occurs via hematogenous, lymphatic, or peritoneal seeding. We describe FDG PET/CT findings of Schnitzler metastasis to the rectum in a 39-year-old woman who had radical gastrectomy for signet ring gastric adenocarcinoma 2 years prior. FDG PET/CT demonstrated increased homogeneous round activity in the inner layer of rectal wall. Occult metastases of gastric carcinoma tend to be difficult to treat and have a poor prognosis. However, in some cases, FDG PET/CT might be beneficial for early detection and diagnosis of Schnitzler metastasis.
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Affiliation(s)
- Shu Wang
- From the Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China
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A population-based study on treatment and outcomes in patients with gastric adenocarcinoma diagnosed with distant interval metastases. Eur J Surg Oncol 2022; 48:1964-1971. [DOI: 10.1016/j.ejso.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 02/06/2022] [Accepted: 03/04/2022] [Indexed: 12/20/2022] Open
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Hao W, Li Y, Du B, Li X. Discordant Metabolic Response on 18F-FDG PET/CT in Synchronous Primary Gastric Lymphoma and Gastric Adenocarcinoma. Clin Nucl Med 2022; 47:133-136. [PMID: 35006108 PMCID: PMC8746905 DOI: 10.1097/rlu.0000000000004006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/08/2021] [Indexed: 12/03/2022]
Abstract
ABSTRACT An 84-year-old man presented with dysphagia for 20 days. The biopsies of the multiple lesions through gastroscopy revealed gastric diffuse large B-cell lymphoma and gastric adenocarcinoma. Staging 18F-FDG PET/CT showed multiple hypermetabolic lesions in the stomach, abdomen, and pelvis. After 4 courses of chemotherapy, except for the lesion of biopsy-proven gastric adenocarcinoma, other hypermetabolic lesions in stomach and other sites returned to normal on posttherapy 18F-FDG PET/CT. This case indicated that 18F-FDG PET/CT can track differential treatment response of synchronous gastric tumors and guide subsequent therapy.
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Accuracy of Endoscopic Ultrasonography for Gastric Cancer Staging. CURRENT HEALTH SCIENCES JOURNAL 2022; 48:88-94. [PMID: 35911933 PMCID: PMC9289590 DOI: 10.12865/chsj.48.01.13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 01/12/2022] [Indexed: 12/13/2022]
Abstract
Gastric cancer remains a health problem, with treatment indications varying with the TNM stage. We aimed in this study to highlight the role of EUS in GC patients and also to calculate the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of EUS for T and N staging in our group of patients with this disease. In this study, we included 41 GC patients, and individual values for every T stage accuracy, sensitivity, specificity, PPV, NPV, correct staging, understaging, and overstaging were calculated. EUS overall accuracy for T staging was 58.53%, with the highest sensitivity reached for the T4 stage, 95.83%. For N+vs. N-staging, EUS accuracy was 68.29%, with a sensitivity of 75% and a specificity of 44.44%. The positive and negative predicted values for the presence or absence of nodal disease were 82.75%, respectively 33.33%. In conclusion, this study confirmed the importance of EUS for the assessment of GC T and N stage and highlighted the role of this tool in the detection of liver micrometastasis unrevealed by other imaging techniques like abdominal ultrasound or MSCT.
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Seko-Nitta A, Nagatani Y, Murakami Y, Watanabe Y, Nitta N, Murata K, Takemura S, Murata S. 18F-fluorodeoxyglucose uptake in advanced gastric cancer correlates with histopathological subtypes and volume of tumor stroma. Eur J Radiol 2021; 145:110048. [PMID: 34814038 DOI: 10.1016/j.ejrad.2021.110048] [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: 06/28/2021] [Revised: 08/22/2021] [Accepted: 11/15/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE The aim of this study was to investigate the correlation between preoperative 18F-fluorodeoxyglucose (FDG) uptake and histological subtypes, amount of tumor stroma in advanced gastric cancer (GC), and clinical outcomes. METHODS We evaluated 56 patients (male/female, 42:14; mean age, 69 years) with advanced GC who underwent surgical resection at our institution and positron emission tomography-computed tomography with 18F-FDG prior to surgery. We used the maximum standardized uptake value (SUVmax) of the tumor and the tumor-to-liver ratio (TLR) of the SUVmax for the analysis. The SUVmax and TLR correlated with histological subtypes, immunohistochemistry (IHC) for CD34, and recurrence-free survival (RFS). Tumor stroma in GC was evaluated by CD34 expression. GCs were classified according to the Lauren and World Health Organization (WHO) classifications. RESULTS The average FDG uptakes (SUVmax) were 4.17% and 14.04% in diffuse and intestinal type GCs, respectively, according to the Lauren classification, and 4.17%, 13.87%, 7.70%, 9.71%, and 19.45% in the poorly cohesive, tubular, mucinous, and papillary adenocarcinomas, respectively, according to the WHO classification. The FDG uptake in diffuse type was significantly lower than that in the intestinal type (p = 0.000). The SUVmax and TLR of the CD34(+) group (mean SUVmax, 5.50; TLR, 1.56) were significantly lower than those of the CD34(-) group (mean SUVmax, 14.09; TLR, 4.09). RFS was not associated with TLR or CD34 expression. CONCLUSION GC, which has abundant tumor stroma characterized by high CD34 expression on IHC, shows low FDG uptake.
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Affiliation(s)
- Ayumi Seko-Nitta
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan.
| | - Yukihiro Nagatani
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan
| | - Yoko Murakami
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan
| | - Norihisa Nitta
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan; Department of Radiology, Kyoto Okamoto Memorial Hospital, Kumiyama-cho, Sayama, Kuze, Kyoto 613-0034, Japan
| | - Kiyoshi Murata
- Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan; Department of Radiology, Rakusai Newtown Hospital, 3-6 Higashi-Shinbayashi-cho, Oe, Nishikyo-ku, Kyoto 610-1142, Japan
| | - Shizuki Takemura
- Department of Pathology, Kusatsu General Hospital, 1660 Yabase-cho, Kusatsu, Shiga 525-0066, Japan
| | - Satoshi Murata
- Department of Surgery, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga 520-2192, Japan
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Liu Q, Li J, Xin B, Sun Y, Feng D, Fulham MJ, Wang X, Song S. 18F-FDG PET/CT Radiomics for Preoperative Prediction of Lymph Node Metastases and Nodal Staging in Gastric Cancer. Front Oncol 2021; 11:723345. [PMID: 34589429 PMCID: PMC8474469 DOI: 10.3389/fonc.2021.723345] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/19/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES The accurate assessment of lymph node metastases (LNMs) and the preoperative nodal (N) stage are critical for the precise treatment of patients with gastric cancer (GC). The diagnostic performance, however, of current imaging procedures used for this assessment is sub-optimal. Our aim was to investigate the value of preoperative 18F-FDG PET/CT radiomic features to predict LNMs and the N stage. METHODS We retrospectively collected clinical and 18F-FDG PET/CT imaging data of 185 patients with GC who underwent total or partial radical gastrectomy. Patients were allocated to training and validation sets using the stratified method at a fixed ratio (8:2). There were 2,100 radiomic features extracted from the 18F-FDG PET/CT scans. After selecting radiomic features by the random forest, relevancy-based, and sequential forward selection methods, the BalancedBagging ensemble classifier was established for the preoperative prediction of LNMs, and the OneVsRest classifier for the N stage. The performance of the models was primarily evaluated by the AUC and accuracy, and validated by the independent validation methods. Analysis of the feature importance and the correlation were also conducted. We also compared the predictive performance of our radiomic models to that with the contrast-enhanced CT (CECT) and 18F-FDG PET/CT. RESULTS There were 185 patients-127 men, 58 women, with the median age of 62, and an age range of 22-86 years. One CT feature and one PET feature were selected to predict LNMs and achieved the best performance (AUC: 82.2%, accuracy: 85.2%). This radiomic model also detected some LNMs that were missed in CECT (19.6%) and 18F-FDG PET/CT (35.7%). For predicting the N stage, four CT features and one PET feature were selected (AUC: 73.7%, accuracy: 62.3%). Of note, a proportion of patients in the validation set whose LNMs were incorrectly staged by CECT (57.4%) and 18F-FDG PET/CT (55%) were diagnosed correctly by our radiomic model. CONCLUSION We developed and validated two machine learning models based on the preoperative 18F-FDG PET/CT images that have a predictive value for LNMs and the N stage in GC. These predictive models show a promise to offer a potentially useful adjunct to current staging approaches for patients with GC.
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Affiliation(s)
- Qiufang Liu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiaru Li
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Bowen Xin
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Yuyun Sun
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Dagan Feng
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Michael J. Fulham
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
- Department of Molecular Imaging, Royal Prince Alfred Hospital, The University of Sydney, Sydney, NSW, Australia
| | - Xiuying Wang
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Shaoli Song
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Zhang Z, Zheng B, Chen W, Xiong H, Jiang C. Accuracy of 18F-FDG PET/CT and CECT for primary staging and diagnosis of recurrent gastric cancer: A meta-analysis. Exp Ther Med 2021; 21:164. [PMID: 33456531 PMCID: PMC7792481 DOI: 10.3892/etm.2020.9595] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023] Open
Abstract
Contrast-enhanced computed tomography (CECT) is commonly used for staging and diagnosing recurrent gastric cancer. Recently, 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/CT gained popularity as a diagnostic tool owing to advantages including dual functional and anatomical imaging, which may facilitate early diagnosis. The diagnostic performance of 18F-FDG PET/CT and CECT has been assessed in several studies but with variable results. Therefore, the present meta-analysis aimed to evaluate the accuracy of 18F-FDG PET/CT and CECT for primary TNM staging and the diagnosis of recurrent gastric cancers. A systematic search of the PubMed Central, Medline, Scopus, Cochrane and Embase databases from inception until January 2020 was performed. The Quality Assessment of Diagnostic Accuracy Study-2 tool was used to determine the quality of the selected studies. Pooled estimates of sensitivity and specificity were calculated. A total of 58 studies comprising 9,997 patients were included. Most studies had a low risk of bias. The sensitivity and specificity for nodal staging of gastric cancer were 49% (95% CI, 37-61%) and 92% (95% CI, 86-96%) for 18F-FDG PET/CT, respectively, and 67% (95% CI, 57-76%) and 86% (95% CI, 81-89%) for CECT, respectively. For metastasis staging, the sensitivity and specificity were 56% (95% CI, 40-71%) and 97% (95% CI, 87-99%) for 18F-FDG PET/CT, respectively, and 59% (95% CI, 41-75%) and 96% (95% CI, 83-99%) for CECT, respectively. For diagnosing cancer recurrence, the pooled sensitivity and specificity were 81% (95% CI, 72-88%) and 83% (95% CI, 74-89%) for 18F-FDG PET/CT, respectively, and 59% (95% CI, 41-75%) and 96% (95% CI, 83-99%) for CECT, respectively. Both 18F-FDG PET/CT and CECT were deemed highly useful for diagnosing recurrent gastric cancer due to their high sensitivities and specificities. However, these techniques cannot be used to exclude or confirm the presence of lymph node metastases or recurrent gastric cancer tumors, but can be used for the confirmation of distal metastasis.
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Affiliation(s)
- Zhicheng Zhang
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Bo Zheng
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Wei Chen
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Hui Xiong
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Caiming Jiang
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
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Endoscopic Ultrasound vs. Computed Tomography for Gastric Cancer Staging: A Network Meta-Analysis. Diagnostics (Basel) 2021; 11:diagnostics11010134. [PMID: 33467164 PMCID: PMC7829791 DOI: 10.3390/diagnostics11010134] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/14/2021] [Accepted: 01/14/2021] [Indexed: 12/19/2022] Open
Abstract
Gastric cancer preoperative staging is of outmost importance to assure proper management of the disease. Providing a relevant clinical stage relies on different imaging methods such as computed tomography (CT) or endoscopic ultrasound (EUS). We aimed to perform a network meta-analysis for gastric cancer clinical stage diagnostic tests, thus comparing the diagnostic accuracy of EUS vs. multidetector CT (MDCT) and EUS vs. EUS + MDCT. We plotted study estimates of pooled sensitivity and specificity on forest plots and summary receiver operating characteristic space to explore between-study variation in the performance of EUS, MDCT and EUS + MDCT for T1–T4, N0–N3, M0–M1 when data were available. Exploratory analyses were undertaken in RevMan 5. We included twelve studies with 2047 patients. Our results suggest that EUS was superior to MDCT in preoperative T1 and N staging. MDCT is more specific for the M stage but no significant difference in sensitivity was obtained. When comparing EUS vs. EUS + MDCT for T1 both sensitivity and specificity were not relevant. No significant differences were observed in T2–T4 stages. Even though EUS helped differentiate between the presence of invaded nodules, N stages should be carefully assessed by both methods since there is not sufficient data.
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A Nomogram Based on Clinicopathologic Features and Preoperative Hematology Parameters to Predict Occult Peritoneal Metastasis of Gastric Cancer: A Single-Center Retrospective Study. DISEASE MARKERS 2020; 2020:1418978. [PMID: 33376558 PMCID: PMC7746455 DOI: 10.1155/2020/1418978] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/22/2020] [Accepted: 11/22/2020] [Indexed: 01/19/2023]
Abstract
Background In patients with gastric cancer (GC), peritoneal metastasis is an indication of the end stage and often indicates a poor outcome. The diagnosis of peritoneal metastasis, especially occult peritoneal metastasis (OPM), remains a challenge for surgeons. This study was designed to explore the relationship between OPM and clinicopathological characteristics and preoperative hematological parameters in patients with GC and to develop a nomogram to predict the probability of OPM before surgery. Methods A total of 672 patients with GC from our center were included, including 583 OPM-negative and 89 OPM-positive patients. These patients were divided into training and validation groups based on when they received treatment. OPM was diagnosed during surgery in patients without any signs of metastasis through imaging examination. Predictive factors were screened by least absolute shrinkage and selection operator logistic regression of all 18 characteristics. The nomogram of OPM was constructed based on these filtered variables. The discriminative and calibration performance of the model were simultaneously evaluated. Results A total of six variables, including tumor size, degree of differentiation, depth of invasion, Glasgow prognosis score, and plasma levels of CA125 and fibrinogen, were selected for integration into the final predictive nomogram. The area under curve (AUC) of the nomogram with six factors was 0.906 (95% confidence interval (CI): 0.872-0.941) and 0.889 (95% CI: 0.795-0.984) in the training and validation groups, respectively. Calibration plots of the nomogram in the two sets revealed a good consistency between predicted and actual probabilities. Decision curve analysis showed that the nomogram had a positive net benefit among all threshold probabilities between 0% and 82%. This nomogram was superior to models incorporating only clinicopathologic or hematologic features. Conclusion Both clinicopathological and preoperative hematological parameters are significantly associated with OPM. The nomogram constructed with six factors could be used to calculate the probability of OPM and identify the high-risk population in GC. This may be helpful for early detection of OPM in patients with GC.
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Diagnostic performance of imaging for the detection of peritoneal metastases: a meta-analysis. Eur Radiol 2020; 30:3101-3112. [DOI: 10.1007/s00330-019-06524-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/27/2019] [Accepted: 10/17/2019] [Indexed: 02/06/2023]
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Assessment of Response to Neoadjuvant Chemoradiotherapy by 18F-FDG PET/CT in Patients With Locally Advanced Esophagogastric Junction Adenocarcinoma. Clin Nucl Med 2019; 45:38-43. [DOI: 10.1097/rlu.0000000000002840] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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15
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Abstract
Small bowel metastasis is rare. Most patients are diagnosed after presenting serious complications. The primary tumors generally arise from breast, lung, and melanoma, but rarely from the stomach. Here we present a case of a gastric cancer patient with asymptomatic small bowel metastasis diagnosed at staging using F-FDG PET/CT. The bowel lesion could not be found on the full-dose CT component of PET/CT. Previous staging contrast CT also made a missed diagnosis. This case reminds us that PET/CT can be used to detect unsuspected metastasis. It may be suitable for routine initial staging, especially on a patient with poor prognosis.
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Mönig S, van Hootegem S, Chevallay M, Wijnhoven BPL. The role of surgery in advanced disease for esophageal and junctional cancer. Best Pract Res Clin Gastroenterol 2018; 36-37:91-96. [PMID: 30551863 DOI: 10.1016/j.bpg.2018.11.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 11/19/2018] [Indexed: 01/31/2023]
Abstract
The incidence of esophageal and junctional cancer has been increasing in western industrialized nations in the past 30 years. At the time of diagnosis, approximately 50% of patients with esophageal and junctional cancers have distant metastases and are considered incurable. In the recent ESMO guidelines and the German S3 guidelines, surgical therapy for metastatic disease is not recommended. In spite of these recommendations, the treatment of limited metastatic (oligo-metastastic) esophagogastric cancer is currently undergoing a shift towards a more aggressive therapy. Selected patients with oligo-metastatic disease may be considered for surgical resection of the primary tumor and the metastases after chemo(radio)therapy and careful evaluation in an interdisciplinary tumor board. We discuss in this review the literature and some guidelines for extended surgical approaches is laid out. In the future, randomized prospective studies like the German RENAISSANCE/FLOT5 trial and the French SURGIGAST trial will feed us with more evidence if multimodal therapy including surgery for limited metastatic disease is indicated.
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Affiliation(s)
- Stefan Mönig
- Visceral Surgery Department, Geneva University Hospital, Geneva, Switzerland
| | - Sander van Hootegem
- Department of Surgery, Erasmus MC - University Medical Center Rotterdam, PO BOX 2040, 3000, CA, Rotterdam, the Netherlands
| | - Mickael Chevallay
- Visceral Surgery Department, Geneva University Hospital, Geneva, Switzerland
| | - Bas P L Wijnhoven
- Department of Surgery, Erasmus MC - University Medical Center Rotterdam, PO BOX 2040, 3000, CA, Rotterdam, the Netherlands.
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Anthracosilicosis mimicking extensive nodal metastasis from early gastric cancer: A case report. Int J Surg Case Rep 2018; 51:252-256. [PMID: 30219658 PMCID: PMC6139993 DOI: 10.1016/j.ijscr.2018.08.055] [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: 08/14/2018] [Accepted: 08/27/2018] [Indexed: 12/03/2022] Open
Abstract
Anthracosilicosis can mimic extensive node metastasis from gastric cancer. The PET-CT scan is not specific enough to detect metastatic lymph nodes precisely. Surgical exploration should be considered when the result of imaging studies is doubtful.
Introduction Lymph node metastasis is one of the most important prognostic factors in gastric cancer and precise assessment of nodal status facilitates optimal therapeutic decisions. Many diagnostic modalities including endoscopic ultrasound (EUS), computed tomography (CT), and sometimes, positron emission tomography (PET) have been utilized to improve diagnostic accuracy in detecting metastatic lymph nodes; however, their accuracy remains unsatisfactory. Presentation of case We report a case of a 73-year old male patient who was erroneously diagnosed with stage IV gastric cancer due to the distant nodal metastasis from early gastric cancer lesion during the initial staging process. However, surgical exploration revealed an anthracosilicosis-associated lymphadenopathy that mimicked extensive distant nodal metastasis in the preoperative CT and PET-CT scans. The patient was finally diagnosed with stage I gastric cancer confined to the mucosa without nodal metastasis. Discussion We report a rare case of gastric cancer concurrent extensive nodal involvement of anthracosilicosis mimicking metastatic nodal disease in the imaging studies. This case implies that PET-CT scan for clinical staging is not specific enough to clearly delineate malignant lesions, causing a diagnostic dilemma. Conclusion When the characteristics of the primary tumor is poorly correlated to the findings of imaging studies, surgical exploration can be a viable option for a definitive diagnosis before making a hasty decision based only upon the diagnostic imaging results.
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Ma CL, Li XD, Sun XR, Zhao DB, Yuan YP, Yu YH. Using 18F-fluorodeoxyglucose positron emission tomography/computed tomography to estimate the length of gross tumor and involvement of lymph nodes in esophagogastric junction carcinoma. J Cancer Res Ther 2018; 14:896-901. [PMID: 29970673 DOI: 10.4103/jcrt.jcrt_1049_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Objective To determine the optimal approach for estimating the length of gross tumor and involvement of the lymph nodes with 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in esophagogastric junction carcinoma (EGJC). The result was verified with pathologic examination. Materials and Methods Twenty patients with diagnosed and untreated EGJC were enrolled. The length of the gross tumor was measured using different approaches with PET/CT: Standardized uptake value (SUV) 1.5-5.5 in intervals of 1.0 and 10%-50% of maximum SUV (SUVmax) on 18F-FDG PET/CT in intervals of 10%. The results were expressed as L1.0-L5.0, and L10%-L50%, respectively. The pathological length of gross tumor (Lpath) was calculated based on the shrinkage ratio of primary tumor. The measurable lymph nodes were measured on PET/CT preoperatively, labeled during operation, and examined for pathology. Results Lpath was 6.87 ± 2.25 cm, L30% and L2.5 were 6.61 ± 1.76 cm and 7.56 ± 1.89 cm, respectively. L30% was closer to Lpath than other % SUVmax, L2.5 was closer to Lpath than other absolute SUV thresholds. The diagnostic performance of 18F-FDG PET/CT for lymph nodes was best at the cutoff SUV of 2.7, providing sensitivity of 70% and a specificity of 83.7% for detecting lymph node metastases. Conclusions The tumor length with 30% SUVmax as the threshold was closest to the actual pathological length of EGJC. The diagnostic efficiency of 18F-FDG PET/CT was best at the cutoff SUVmax of 2.7 for detecting lymph node metastases in EGJC.
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Affiliation(s)
- Chi-Luan Ma
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences; Department of Radiation Oncology ward 2, Shandong Cancer Hospital Affiliated to Shandong University, 440 Ji Yan Road; Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Xiao-Dong Li
- Department of Radiation Oncology ward 2, Shandong Cancer Hospital Affiliated to Shandong University, 440 Ji Yan Road, Jinan, China
| | - Xiao-Rong Sun
- Department of Nuclear Medicine, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Dong-Bo Zhao
- Department of Thoracic Surgery, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Yin-Ping Yuan
- Department of Pathology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Yong-Hua Yu
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences; Department of Radiation Oncology ward 2, Shandong Cancer Hospital Affiliated to Shandong University, 440 Ji Yan Road; Shandong Cancer Hospital and Institute, Jinan, Shandong, China
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