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Kotelevets SM. Criteria for assessing the diagnostic significance of modern methods of imaging gastrointestinal diseases in practical gastroenterology. Artif Intell Med Imaging 2024; 5:97356. [DOI: 10.35711/aimi.v5.i1.97356] [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: 05/28/2024] [Revised: 08/29/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024] Open
Abstract
Imaging methods are frequently used to diagnose gastrointestinal diseases and play a crucial role in verifying clinical diagnoses among all diagnostic algorithms. However, these methods have limitations, challenges, benefits, and advantages. Addressing these limitations requires the application of objective criteria to assess the effectiveness of each diagnostic method. The diagnostic process is dynamic and requires a consistent algorithm, progressing from clinical subjective data, such as patient history (anamnesis), and objective findings to diagnostics ex juvantibus. Caution must be exercised when interpreting diagnostic results, and there is an urgent need for better diagnostic tests. In the absence of such tests, preliminary criteria and a diagnosis ex juvantibus must be relied upon. Diagnostic imaging methods are critical stages in the diagnostic workflow, with sensitivity, specificity, and accuracy serving as the primary criteria for evaluating clinical, laboratory, and instrumental symptoms. A comprehensive evaluation of all available diagnostic data guarantees an accurate diagnosis. The “gold standard” for diagnosis is typically established through either the results of a pathological autopsy or a lifetime diagnosis resulting from a thorough examination using all diagnostic methods.
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Affiliation(s)
- Sergey M Kotelevets
- Department of Therapy, Medical Institute, North Caucasus State Academy, Cherkessk 369000, Russia
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2
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Liu J, Sun R, Cai K, Xu Y, Yuan W. A nomogram combining neutrophil to lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict distant metastasis in gastric cancer. Sci Rep 2024; 14:15391. [PMID: 38965325 PMCID: PMC11224267 DOI: 10.1038/s41598-024-65307-7] [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: 03/12/2024] [Accepted: 06/19/2024] [Indexed: 07/06/2024] Open
Abstract
In this study, We aim to explore the association between the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), lymphocyte to monocyte ratio (LMR) and prognostic nutritional index (PNI) and distant metastasis of gastric cancer and develop an efficient nomogram for screening patients with distant metastasis. A total of 1281 inpatients with gastric cancer were enrolled and divided into the training and validation set.Univariate, Lasso regression and Multivariate Logistic Regression Analysis was used to identify the risk factors of distant metastasis. The independent predictive factors were then enrolled in the nomogram model. The nomogram's predictive perform and clinical practicality was evaluated by receiver operating characteristics (ROC) curves, calibration curves and decision curve analysis. Multivariate Logistic Regression Analysis identified D-dimer, CA199, CA125, NLR and PNI as independent predictive factors. The area under the curve of our nomogram based on these factors was 0.838 in the training cohort and 0.811 in the validation cohort. The calibration plots and decision curves demonstrated the nomogram's good predictive performance and clinical practicality in both training and validation cohort. Therefore,our nomogram could be an important tool for clinicians in screening gastric cancer patients with distant metastasis.
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Affiliation(s)
- Jiawei Liu
- Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
| | - Ruizheng Sun
- Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
- The Hunan Provincial Key Lab of Precision Diagnosis and Treatment for Gastrointestinal Tumor, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
| | - Kaimei Cai
- The Hunan Provincial Key Lab of Precision Diagnosis and Treatment for Gastrointestinal Tumor, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
| | - Yi Xu
- The Hunan Provincial Key Lab of Precision Diagnosis and Treatment for Gastrointestinal Tumor, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China
| | - Weijie Yuan
- Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China.
- The Hunan Provincial Key Lab of Precision Diagnosis and Treatment for Gastrointestinal Tumor, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University (CSU), Changsha, Hunan, China.
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3
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Mirshahvalad SA, Seyedinia SS, Huemer F, Schweighofer-Zwink G, Koch O, Hitzl W, Weiss L, Emannuel K, Greil R, Pirich C, Beheshti M. Prognostic value of [ 18F]FDG PET/CT on treatment response and progression-free survival of gastroesophageal cancer patients undergoing perioperative FLOT chemotherapy. Eur J Radiol 2023; 163:110843. [PMID: 37119707 DOI: 10.1016/j.ejrad.2023.110843] [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: 11/25/2022] [Revised: 03/17/2023] [Accepted: 04/17/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE To evaluate the prognostic role of [18F]FDG PET/CT metabolic parameters in gastric cancer (GC) and gastroesophageal adenocarcinoma (GEJAC) patients receiving neoadjuvant chemotherapy. METHOD In this retrospective study, 31 patients with biopsy-proven GC or GEJAC were included between August 2016 and March 2020. [18F]FDG PET/CT was performed before the neoadjuvant chemotherapy. Primary tumours' semi-quantitative metabolic parameters were extracted. All patients received a perioperative FLOT regimen thereafter. Post-chemotherapy [18F]FDG PET/CT was performed in most patients (17/31). All patients underwent surgical resection. Histopathology response to treatment and progression-free survival (PFS) were evaluated. Two-sided p-values < 0.05 were considered statistically significant. RESULTS Thirty-one patients (mean age = 62 ± 8), including 21 GC and 10 GEJAC patients, were evaluated. 20/31(65%) patients were histopathology responders to neoadjuvant chemotherapy, including twelve complete and eight partial responders. During the median follow-up of 42.0 months, nine patients experienced recurrence. The median PFS was 60(95% CI:32.9-87.1) months. Pre-neoadjuvant chemotherapy SULpeak was significantly correlated with pathological response to treatment (p-value = 0.03;odds ratio = 16.75). In survival analysis, SUVmax (p-value = 0.01;hazard ratio[HR] = 1.55), SUVmean (p-value = 0.04;HR = 2.73), SULpeak (p-value < 0.001;HR = 1.91) and SULmean (p-value = 0.04;HR = 4.22) in the post-neoadjuvant chemotherapy pre-operative [18F]FDG PET/CT showed significant correlation with PFS. Additionally, aspects of staging were significantly correlated with PFS (p-value = 0.01;HR = 2.21). CONCLUSIONS Pre-neoadjuvant chemotherapy [18F]FDG PET/CT parameters, especially SULpeak, could predict the pathological response to treatment in GC and GEJAC patients. Additionally, in survival analysis, post-chemotherapy metabolic parameters significantly correlated with PFS. Thus, performing [18F]FDG PET/CT before chemotherapy may help to identify patients at risk for inadequate response to perioperative FLOT and, after chemotherapy, may predict clinical outcomes.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria; Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Seyedeh Sara Seyedinia
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Florian Huemer
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Gregor Schweighofer-Zwink
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Oliver Koch
- Department of Surgery, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Wolfgang Hitzl
- Biostatistics and Publication of Clinical Trial Studies, Research and Innovation Management (RIM), Paracelsus Medical University, 5020 Salzburg, Austria; Department of Ophthalmology and Optometry, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria; Research Program Experimental Ophthalmology and Glaucoma Research, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Lukas Weiss
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Klaus Emannuel
- Department of Surgery, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Richard Greil
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology, and Rheumatology, Oncologic Center, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Christian Pirich
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging & Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
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Zhang ST, Wang SY, Zhang J, Dong D, Mu W, Xia XE, Fu FF, Lu YN, Wang S, Tang ZC, Li P, Qu JR, Wang MY, Tian J, Liu JH. Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study. Heliyon 2023; 9:e14030. [PMID: 36923854 PMCID: PMC10009687 DOI: 10.1016/j.heliyon.2023.e14030] [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: 12/21/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 03/06/2023] Open
Abstract
Background This study aimed to develop an artificial intelligence-based computer-aided diagnosis system (AI-CAD) emulating the diagnostic logic of radiologists for lymph node metastasis (LNM) in esophageal squamous cell carcinoma (ESCC) patients, which contributed to clinical treatment decision-making. Methods A total of 689 ESCC patients with PET/CT images were enrolled from three hospitals and divided into a training cohort and two external validation cohorts. 452 CT images from three publicly available datasets were also included for pretraining the model. Anatomic information from CT images was first obtained automatically using a U-Net-based multi-organ segmentation model, and metabolic information from PET images was subsequently extracted using a gradient-based approach. AI-CAD was developed in the training cohort and externally validated in two validation cohorts. Results The AI-CAD achieved an accuracy of 0.744 for predicting pathological LNM in the external cohort and a good agreement with a human expert in two external validation cohorts (kappa = 0.674 and 0.587, p < 0.001). With the aid of AI-CAD, the human expert's diagnostic performance for LNM was significantly improved (accuracy [95% confidence interval]: 0.712 [0.669-0.758] vs. 0.833 [0.797-0.865], specificity [95% confidence interval]: 0.697 [0.636-0.753] vs. 0.891 [0.851-0.928]; p < 0.001) among patients underwent lymphadenectomy in the external validation cohorts. Conclusions The AI-CAD could aid in preoperative diagnosis of LNM in ESCC patients and thereby support clinical treatment decision-making.
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Key Words
- 18F-FDG PET/CT, 18-fluorine-fluorodeoxyglucose positron-emission tomography/computed tomography
- AI, Artificial intelligence
- AI-CAD, Artificial intelligence-based computer-aided diagnosis
- Artificial intelligence
- CI, Confidence interval
- CT, Computed tomography
- ESCC, Esophageal squamous cell carcinoma
- Esophageal squamous cell carcinoma
- LNM, Lymph node metastasis
- Lymph node metastasis
- OS, Overall survival
- PET/CT
- PFS, Progression-free survival
- SD, Standard deviation
- SLR, Ratio of the SUV value to liver uptake
- SUV, Standardized uptake value
- cN, Clinical N stage
- nCRT, Neoadjuvant chemoradiotherapy
- pN, Pathological N stage
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Affiliation(s)
- Shuai-Tong Zhang
- School of Medical Technology, Beijing Institute of Technology, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.,CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
| | - Si-Yun Wang
- Department of PET Center, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jie Zhang
- Department of Radiology, Zhuhai City People's Hospital/Zhuhai Hospital Affiliated to Jinan University, Zhuhai, Guangdong, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Wei Mu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
| | - Xue-Er Xia
- Department of Gastrointestinal Surgery, General Surgery Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Fang-Fang Fu
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Ya-Nan Lu
- Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Shuo Wang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
| | - Zhen-Chao Tang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
| | - Peng Li
- Department of PET Center, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jin-Rong Qu
- Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Mei-Yun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Jie Tian
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.,CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
| | - Jian-Hua Liu
- Department of Oncology, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, Guangdong, China
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5
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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: 94] [Impact Index Per Article: 94.0] [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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Kepenekian V, Bhatt A, Péron J, Alyami M, Benzerdjeb N, Bakrin N, Falandry C, Passot G, Rousset P, Glehen O. Advances in the management of peritoneal malignancies. Nat Rev Clin Oncol 2022; 19:698-718. [PMID: 36071285 DOI: 10.1038/s41571-022-00675-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2022] [Indexed: 11/09/2022]
Abstract
Peritoneal surface malignancies (PSMs) are usually associated with a poor prognosis. Nonetheless, in line with advances in the management of most abdominopelvic metastatic diseases, considerable progress has been made over the past decade. An improved understanding of disease biology has led to the more accurate prediction of neoplasia aggressiveness and the treatment response and has been reflected in the proposal of new classification systems. Achieving complete cytoreductive surgery remains the cornerstone of curative-intent treatment of PSMs. Alongside centralization in expert centres, enabling the delivery of multimodal and multidisciplinary strategies, preoperative management is a crucial step in order to select patients who are most likely to benefit from surgery. Depending on the specific PSM, the role of intraperitoneal chemotherapy and of perioperative systemic chemotherapy, in particular, in the neoadjuvant setting, is established in certain scenarios but questioned in several others, although more prospective data are required. In this Review, we describe advances in all aspects of the management of PSMs including disease biology, assessment and improvement of disease resectability, perioperative management, systemic therapy and pre-emptive management, and we speculate on future research directions.
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Affiliation(s)
- Vahan Kepenekian
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Aditi Bhatt
- Department of Surgical Oncology, Zydus hospital, Ahmedabad, Gujarat, India
| | - Julien Péron
- Medical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique-Santé, UCBL1, Lyon, France
| | - Mohammad Alyami
- Department of General Surgery and Surgical Oncology, Oncology Center, King Khalid Hospital, Najran, Saudi Arabia
| | - Nazim Benzerdjeb
- CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.,Department of Pathology, Institut de Pathologie Multisite, Hospices Civils de Lyon, UCBL1, Lyon, France
| | - Naoual Bakrin
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Claire Falandry
- Department of Onco-Geriatry, Hôpital Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Guillaume Passot
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Pascal Rousset
- CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.,Department of Radiology, Hôpital Lyon Sud, Hospices Civils de Lyon, UCBL1, Lyon, France
| | - Olivier Glehen
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France. .,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.
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7
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Jayaprakasam VS, Paroder V, Schöder H. Variants and Pitfalls in PET/CT Imaging of Gastrointestinal Cancers. Semin Nucl Med 2021; 51:485-501. [PMID: 33965198 PMCID: PMC8338802 DOI: 10.1053/j.semnuclmed.2021.04.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
In the past two decades, PET/CT has become an essential modality in oncology increasingly used in the management of gastrointestinal (GI) cancers. Most PET/CT tracers used in clinical practice show some degree of GI uptake. This uptake is quite variable and knowledge of common patterns of biodistribution of various radiotracers is helpful in clinical practice. 18F-Fluoro-Deoxy-Glucose (FDG) is the most commonly used radiotracer and has quite a variable uptake within the bowel. 68Ga-Prostate specific membrane antigen (PSMA) shows intense uptake within the proximal small bowel loops. 11C-methyl-L-methionine (MET) shows high accumulation within the bowels, which makes it difficult to assess bowel or pelvic diseases. One must also be aware of technical artifacts causing difficulties in interpretations, such as high attenuation oral contrast material within the bowel lumen or misregistration artifact due to patient movements. It is imperative to know the common variants and benign diseases that can mimic malignant pathologies. Intense FDG uptake within the esophagus and stomach may be a normal variant or may be associated with benign conditions such as esophagitis, reflux disease, or gastritis. Metformin can cause diffuse intense uptake throughout the bowel loops. Intense physiologic uptake can also be seen within the anal canal. Segmental bowel uptake can be seen in inflammatory bowel disease, radiation, or medication induced enteritis/colitis or infection. Diagnosis of appendicitis or diverticular disease requires CT correlation, as normal appendix or diverticulum can show intense uptake. Certain malignant pathologies are known to have only low FDG uptake, such as early-stage esophageal adenocarcinoma, mucinous tumors, indolent lymphomas, and multicystic mesotheliomas. Response assessment, particularly in the neoadjuvant setting, can be limited by post-treatment inflammatory changes. Post-operative complications such as abscess or fistula formation can also show intense uptake and may obscure underlying malignant pathology. In the absence of clinical suspicion or rising tumor marker, the role of FDG PET/CT in routine surveillance of patients with GI malignancy is not clear.
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Affiliation(s)
- Vetri Sudar Jayaprakasam
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Viktoriya Paroder
- Body Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Heiko Schöder
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
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Gastric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology. World J Surg Oncol 2021; 19:245. [PMID: 34404403 PMCID: PMC8371873 DOI: 10.1186/s12957-021-02351-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/27/2021] [Indexed: 12/16/2022] Open
Abstract
Background The optimal treatment in patients with gastric cancer and peritoneal disease remains controversial. Some guidelines indicate palliative treatment only, while others consider surgical treatment in case of positive lavage cytology (CY+) or limited peritoneal disease. Here, we analyzed the role of peritoneal disease in patients with gastric cancer, and the prognostic relevance of response to neoadjuvant therapy. Methods In this retrospective cohort analysis, we analyzed patients with adenocarcinoma of the stomach or esophago-gastric junction from a single center operated between 2011 and 2019. According to histology and lavage cytology, patients were classified into four risk groups: (A) no peritoneal disease, (B) CY+ who converted to negative lavage cytology (CY−) after neoadjuvant chemotherapy, (C) CY+ without conversion after chemotherapy, and (D) patients with visible peritoneal metastasis. Results Overall, n = 172 patients were included. At initial presentation, n = 125 (73%) had no peritoneal disease, and about a third of patients (n = 47, 27%) had microscopic or macroscopic peritoneal disease. Among them, n = 14 (8%) were CY+ without visible peritoneal metastasis, n = 9 converted to CY− after chemotherapy, and in n = 5 no conversion was observed. Median overall survival was not reached in patients who had initially no peritoneal disease and in patients who converted after chemotherapy, resulting in 3-year survival rates of 65% and 53%. In contrast, median overall survival was reduced to 13 months (95% CI 8.7–16.7) in patients without conversion and was 16 months (95% CI 12–20.5) in patients with peritoneal metastasis without difference between the two groups (p = .364). The conversion rate from CY+ to CY− was significantly higher after neoadjuvant treatment with FLOT (5-fluorouracil plus leucovorin, oxaliplatin, and docetaxel) compared to ECF (epirubicin, cisplatin, and 5-fluorouracil) (p = 0.027). Conclusion Conversion of CY+ to CY− after neoadjuvant chemotherapy with FLOT is a significant prognostic factor for a better overall survival. Surgical treatment in well-selected patients should therefore be considered. However, peritoneal recurrence remains frequent despite conversion, urging for a better local control.
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Orita E, Becker D, Mueller M, Hefti M, Schuler MJ, Bautista Borrego L, Dutkowski P, Zeimpekis K, Treyer V, Kaufmann PA, Eshmuminov D, Clavien PA, Huellner MW. FDG-PET/CT: novel method for viability assessment of livers perfused ex vivo. Nucl Med Commun 2021; 42:826-832. [PMID: 33741853 DOI: 10.1097/mnm.0000000000001399] [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: 11/26/2022]
Abstract
PURPOSE Ex vivo liver machine perfusion is a promising option to rescue marginal liver grafts mitigating the donated organ shortage. Recently, a novel liver perfusion machine that can keep injured liver grafts alive for 1 week ex vivo was developed and reported in Nature Biotechnology. However, liver viability assessment ex vivo is an unsolved issue and the value of 18F-fluorodeoxyglucose (FDG)-PET/CT for such purpose was explored. MATERIALS AND METHODS Discarded two human and six porcine liver grafts underwent FDG-PET/CT for viability assessment after 1 week of ex vivo perfusion. PET parameters [standardized uptake value (SUV)max, SUVmean, SUVpeak and total lesion glycolysis] were compared between hepatic lobes and between porcine and human livers. The prevalence of FDG-negative organ parts was recorded. The estimated effective radiation dose for PET/CT was calculated. RESULTS All organs were viable with essentially homogeneous FDG uptake. Of note, viability was preserved in contact areas disclosing the absence of pressure necrosis. Four porcine and two human organs had small superficial FDG-negative areas confirmed as biopsy sites. Total lesion glycolysis was significantly higher in the right hepatic lobe (P = 0.012), while there was no significant difference of SUVmax, SUVmean and SUVpeak between hepatic lobes. There was no significant difference in FDG uptake parameters between porcine and human organs. The estimated effective radiation dose was 1.99 ± 1.67 mSv per organ. CONCLUSION This study demonstrates the feasibility of FDG-PET/CT for viability assessment of ex vivo perfused liver grafts after 1 week.
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Affiliation(s)
- Erika Orita
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich
| | - Dustin Becker
- Wyss Zurich, ETH Zurich and University of Zurich
- Transport Processes and Reactions Laboratory, Department of Mechanical and Process Engineering, ETH Zurich
| | - Matteo Mueller
- Wyss Zurich, ETH Zurich and University of Zurich
- Department of Surgery & Transplantation, Swiss Hepato-Pancreato-Biliary (HPB) Center, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Max Hefti
- Wyss Zurich, ETH Zurich and University of Zurich
- Transport Processes and Reactions Laboratory, Department of Mechanical and Process Engineering, ETH Zurich
| | - Martin J Schuler
- Wyss Zurich, ETH Zurich and University of Zurich
- Transport Processes and Reactions Laboratory, Department of Mechanical and Process Engineering, ETH Zurich
| | - Lucia Bautista Borrego
- Wyss Zurich, ETH Zurich and University of Zurich
- Department of Surgery & Transplantation, Swiss Hepato-Pancreato-Biliary (HPB) Center, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp Dutkowski
- Wyss Zurich, ETH Zurich and University of Zurich
- Department of Surgery & Transplantation, Swiss Hepato-Pancreato-Biliary (HPB) Center, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | | | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich
| | - Dilmurodjon Eshmuminov
- Wyss Zurich, ETH Zurich and University of Zurich
- Department of Surgery & Transplantation, Swiss Hepato-Pancreato-Biliary (HPB) Center, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Pierre-Alain Clavien
- Department of Surgery & Transplantation, Swiss Hepato-Pancreato-Biliary (HPB) Center, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Martin W Huellner
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich
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Fornaro L, Spallanzani A, de Vita F, D’Ugo D, Falcone A, Lorenzon L, Tirino G, Cascinu S. Beyond the Guidelines: The Grey Zones of the Management of Gastric Cancer. Consensus Statements from the Gastric Cancer Italian Network (GAIN). Cancers (Basel) 2021; 13:1304. [PMID: 33804024 PMCID: PMC8001719 DOI: 10.3390/cancers13061304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/19/2021] [Accepted: 03/11/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Management of gastric and gastroesophageal junction (GEJ) adenocarcinoma remains challenging, because of the heterogeneity in tumor biology within the upper gastrointestinal tract. Daily clinical practice is full of grey areas regarding the complexity of diagnostic, staging, and therapeutic procedures. The aim of this paper is to provide a guide for clinicians facing challenging situations in routine practice, taking a multidisciplinary consensus approach based on available literature. METHODS The GAIN (GAstric cancer Italian Network) group was established with the aims of reviewing literature evidence, discussing key issues in prevention, diagnosis, and management of gastric and GEJ adenocarcinoma, and offering a summary of statements. A Delphi consensus method was used to obtain opinions from the expert panel of specialists. RESULTS Forty-nine clinical questions were identified in six areas of interest: role of multidisciplinary team; risk factors; diagnosis; management of early gastric cancer and multimodal approach to localized gastric cancer; treatment of elderly patients with locally advanced resectable disease; and treatment of locally advanced and metastatic cancer. CONCLUSIONS The statements presented may guide clinicians in practical management of this disease.
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Affiliation(s)
- Lorenzo Fornaro
- Department of Translational Medicine, Division of Medical Oncology, AOU Pisana, 56126 Pisa, Italy;
| | - Andrea Spallanzani
- Department of Oncology and Hematology, University Hospital of Modena, 41125 Modena, Italy;
| | - Ferdinando de Vita
- Department of Precision Medicine, Division of Medical Oncology, School of Medicine, University of Campania ‘Luigi Vanvitelli’, 81100 Caserta, Italy; (F.d.V.); (G.T.)
| | - Domenico D’Ugo
- General Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Catholic University, 00168 Rome, Italy; (D.D.); (L.L.)
| | - Alfredo Falcone
- Department of Translational Medicine, Division of Medical Oncology, University of Pisa, 56126 Pisa, Italy;
| | - Laura Lorenzon
- General Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Catholic University, 00168 Rome, Italy; (D.D.); (L.L.)
| | - Giuseppe Tirino
- Department of Precision Medicine, Division of Medical Oncology, School of Medicine, University of Campania ‘Luigi Vanvitelli’, 81100 Caserta, Italy; (F.d.V.); (G.T.)
| | - Stefano Cascinu
- Medical Oncology, Università Vita-Salute San Raffaele, 20132 Milan, Italy
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11
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Ju M, Wang SC, Syed S, Agrawal D, Porembka MR. Multidisciplinary Teams Improve Gastric Cancer Treatment Efficiency at a Large Safety Net Hospital. Ann Surg Oncol 2019; 27:645-650. [PMID: 31677108 DOI: 10.1245/s10434-019-08037-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Gastric cancer treatment initiation is a complex process. Inefficiencies in care coordination can lead to significant delays, which are often more prominent at safety net hospitals. Multidisciplinary teams (MDTs) have been proposed as an effective solution. METHODS A retrospective review of sequential gastric cancer patients receiving treatment at Parkland Hospital (Dallas, TX) between 2013 and 2015 was performed before (n = 50) and after (n = 50) creation of a MDT and standardized care pathways. Patients undergoing urgent resection were excluded. Time to treatment (TTT) from initial endoscopy to initiation of chemotherapy was evaluated. The number of diagnostic tests performed and treatment variability also were compared. RESULTS Groups were similar in terms of age, sex, stage distribution, tumor location, and type of presentation (outpatient vs. emergency room). Post-intervention, TTT decreased from 84.1 ± 12.3 to 32.5 ± 15.2 days (p < 0.02). This decrease was primarily related to parallel performance of subspecialty evaluations, staging studies, and procedures. MDT review reduced the number of unnecessary staging tests performed, leading to a decrease in the average number of studies from 3.8 per patient to 2.2 (p < 0.05). Use of diagnostic laparoscopy in patients with clinically locally advanced disease increased from 18 to 94% (p < 0.05). CONCLUSIONS Creation of a gastric cancer MDT and uniform care pathways at a large safety net hospital expedited initiation of treatment, reduced unnecessary tests, and promoted consistent patient management.
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Affiliation(s)
- Michelle Ju
- Division of Surgical Oncology, Department of Surgery, Parkland Health and Hospital System, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sam C Wang
- Division of Surgical Oncology, Department of Surgery, Parkland Health and Hospital System, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Samira Syed
- Division of Hematology/Oncology, Department of Internal Medicine, Parkland Health and Hospital System, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Deepak Agrawal
- Division of Digestive and Liver Disease, Department of Internal Medicine, Parkland Health and Hospital System, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Matthew R Porembka
- Division of Surgical Oncology, Department of Surgery, Parkland Health and Hospital System, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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12
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Lutz MP, Zalcberg JR, Ducreux M, Adenis A, Allum W, Aust D, Carneiro F, Grabsch HI, Laurent-Puig P, Lordick F, Möhler M, Mönig S, Obermannova R, Piessen G, Riddell A, Röcken C, Roviello F, Schneider PM, Seewald S, Smyth E, van Cutsem E, Verheij M, Wagner AD, Otto F. The 4th St. Gallen EORTC Gastrointestinal Cancer Conference: Controversial issues in the multimodal primary treatment of gastric, junctional and oesophageal adenocarcinoma. Eur J Cancer 2019; 112:1-8. [PMID: 30878666 DOI: 10.1016/j.ejca.2019.01.106] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 01/14/2019] [Indexed: 02/06/2023]
Abstract
Multimodal primary treatment of localised adenocarcinoma of the stomach, the oesophagus and the oesophagogastric junction (AEG) was reviewed by a multidisciplinary expert panel in a moderated consensus session. Here, we report the key points of the discussion and the resulting recommendations. The exact definition of the tumour location and extent by white light endoscopy in conjunction with computed tomography scans is the backbone for any treatment decision. Their value is limited with respect to the infiltration depth, lymph node involvement and peritoneal involvement. Additional endoscopic ultrasound was recommended mainly for tumours of the lower oesophagogastric junction (i.e. AEG type II and III according to Siewert) and in early cancers before endoscopic resection. Laparoscopy to diagnose peritoneal involvement was thought to be necessary before the start of neoadjuvant treatment in all gastric cancers and in AEG type II and III. In general, perioperative multimodal treatment was suggested for all locally advanced oesophageal tumours and for gastric cancers with a clinical stage above T1N0. There was consensus that the combination of fluorouracil, folinic acid, oxaliplatin and docetaxel is now a new standard chemotherapy (CTx) regimen for fit patients. In contrast, the optimal choice of perioperative CTx versus neoadjuvant radiochemotherapy (neoRCTx), especially for AEG, was identified as an open question. Expert treatment recommendations depend on the tumour location, biology, the risk of incomplete (R1) resection, response to treatment, local or systemic recurrence risks, the predicted perioperative morbidity and patients' comorbidities. In summary, any treatment decision requires an interdisciplinary discussion in a comprehensive multidisciplinary setting.
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Affiliation(s)
| | - John R Zalcberg
- Department of Epidemiology and Preventive Medicine, School of Public Health, Monash University, The Alfred Centre, Melbourne, Australia
| | | | - Antoine Adenis
- Département d'Oncologie Médicale, Institut du Cancer de Montpellier, Montpellier, France
| | - William Allum
- Royal Marsden NHS Foundation Trust, London, United Kingdom; Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Daniela Aust
- Institut für Pathologie, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Fatima Carneiro
- Department of Pathology, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Heike I Grabsch
- Department of Pathology and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands; Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, UK
| | | | - Florian Lordick
- University Cancer Center Leipzig (UCCL) and Department of Hematology and Oncology, University Medicine Leipzig, Germany
| | - Markus Möhler
- Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Mainz, Germany
| | - Stefan Mönig
- Hôpitaux Universitaires de Genève, Service de Chirurgie Viscéral, Geneva, Switzerland
| | - Radka Obermannova
- Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Guillaume Piessen
- Université de Lille, Department of Digestive and Oncological Surgery, Claude Huriez University Hospital, 59000 Lille, France
| | - Angela Riddell
- Department of Diagnostic Radiology, The Royal Marsden, London, United Kingdom
| | - Christoph Röcken
- Department of Pathology, Christian-Albrechts-University, Kiel, Germany
| | - Franco Roviello
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Paul Magnus Schneider
- Centre for Visceral, Thoracic and Specialized Tumor Surgery, Klinik Hirslanden, Zurich, Switzerland
| | - Stefan Seewald
- Gastroenterology Centre, Klinik Hirslanden, Zurich, Switzerland
| | - Elizabeth Smyth
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | | | - Marcel Verheij
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Florian Otto
- Tumor- und Brustzentrum ZeTuP, St. Gallen, Switzerland
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13
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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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14
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Schneider PM, Eshmuminov D, Rordorf T, Vetter D, Veit-Haibach P, Weber A, Bauerfeind P, Samaras P, Lehmann K. 18FDG-PET-CT identifies histopathological non-responders after neoadjuvant chemotherapy in locally advanced gastric and cardia cancer: cohort study. BMC Cancer 2018; 18:548. [PMID: 29743108 PMCID: PMC5944162 DOI: 10.1186/s12885-018-4477-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 05/02/2018] [Indexed: 12/11/2022] Open
Abstract
Background Pathologic response to neoadjuvant chemotherapy (neoCTX) is a prognostic factor in many cancer types, and early prediction would help to modify treatment. In patients with gastric and esophagogastric junction (AEG) cancer, the accuracy of FDG PET-CT to predict early pathologic response after neoadjuvant chemotherapy (neoCTX) is currently not known. Methods From a consecutive cohort of 72 patients, 44 patients with resectable, locally-advanced gastric cancer or AEG Siewert type II and III received neoCTX after primary staging with endoscopic ultrasound, PET-CT and laparoscopy. Overall, 14 patients did not show FDG uptake, and the remaining 30 were restaged by PET-CT 14 days after the first cycle of neoCTX. Metabolic response was defined as decrease of tumor standardized uptake value (SUV) by ≥35%. Major pathologic regression was defined as less than 10% residual tumor cells. Results Metabolic response after neoCTX was detected in 20/30 (66.7%), and non-response in 10/30 (33.3%) patients. Among metabolic responders, n = 10 (50%) showed major and n = 10 (50%) minor pathologic regression. In non-responders, n = 9 (90%) had minor and 1 (10%) a major pathologic regression. This resulted in a sensitivity of 90.9%, specificity 47.3%, positive predictive value 50%, negative predictive value 90% and accuracy of 63.3%. Conclusion Response PET-CT after the first cycle of neoCTX does not accurately predict overall pathologic response. However, PET-CT reliably detects non-responders, and identifies patients who should either immediately proceed to resection or receive a modified multimodality therapy. Trial registration The trial was registered and approved by local ethics committee PB_2016–00769.
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Affiliation(s)
- Paul M Schneider
- Center for Visceral, Thoracic and specialized Tumor Surgery, Hirslanden Medical Center, Witellikerstrasse 40, CH-8032, Zurich, Switzerland.
| | - Dilmurodjon Eshmuminov
- Department of Visceral and Transplantation Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Tamara Rordorf
- Department of Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Diana Vetter
- Department of Visceral and Transplantation Surgery, University Hospital Zurich, Zurich, Switzerland
| | | | - Achim Weber
- Institute of Clinical Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Peter Bauerfeind
- Department of Gastroenterology, University Hospital Zurich, Zurich, Switzerland
| | | | - Kuno Lehmann
- Department of Visceral and Transplantation Surgery, University Hospital Zurich, Zurich, Switzerland
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