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Morgagni P, Bencivenga M, Carneiro F, Cascinu S, Derks S, Di Bartolomeo M, Donohoe C, Eveno C, Gisbertz S, Grimminger P, Gockel I, Grabsch H, Kassab P, Langer R, Lonardi S, Maltoni M, Markar S, Moehler M, Marrelli D, Mazzei MA, Melisi D, Milandri C, Moenig PS, Mostert B, Mura G, Polkowski W, Reynolds J, Saragoni L, Van Berge Henegouwen MI, Van Hillegersberg R, Vieth M, Verlato G, Torroni L, Wijnhoven B, Tiberio GAM, Yang HK, Roviello F, de Manzoni G. International consensus on the management of metastatic gastric cancer: step by step in the foggy landscape : Bertinoro Workshop, November 2022. Gastric Cancer 2024; 27:649-671. [PMID: 38634954 PMCID: PMC11193703 DOI: 10.1007/s10120-024-01479-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/05/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Many gastric cancer patients in Western countries are diagnosed as metastatic with a median overall survival of less than twelve months using standard chemotherapy. Innovative treatments, like targeted therapy or immunotherapy, have recently proved to ameliorate prognosis, but a general agreement on managing oligometastatic disease has yet to be achieved. An international multi-disciplinary workshop was held in Bertinoro, Italy, in November 2022 to verify whether achieving a consensus on at least some topics was possible. METHODS A two-round Delphi process was carried out, where participants were asked to answer 32 multiple-choice questions about CT, laparoscopic staging and biomarkers, systemic treatment for different localization, role and indication of palliative care. Consensus was established with at least a 67% agreement. RESULTS The assembly agreed to define oligometastases as a "dynamic" disease which either regresses or remains stable in response to systemic treatment. In addition, the definition of oligometastases was restricted to the following sites: para-aortic nodal stations, liver, lung, and peritoneum, excluding bones. In detail, the following conditions should be considered as oligometastases: involvement of para-aortic stations, in particular 16a2 or 16b1; up to three technically resectable liver metastases; three unilateral or two bilateral lung metastases; peritoneal carcinomatosis with PCI ≤ 6. No consensus was achieved on how to classify positive cytology, which was considered as oligometastatic by 55% of participants only if converted to negative after chemotherapy. CONCLUSION As assessed at the time of diagnosis, surgical treatment of oligometastases should aim at R0 curativity on the entire disease volume, including both the primary tumor and its metastases. Conversion surgery was defined as surgery on the residual volume of disease, which was initially not resectable for technical and/or oncological reasons but nevertheless responded to first-line treatment.
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Affiliation(s)
- Paolo Morgagni
- Department of General Surgery, Morgagni-Pierantoni Hospital, Forlì, Italy
| | - Maria Bencivenga
- General and Upper GI Surgery, Department of Surgery, University Hospital Verona, University of Verona, Verona, Italy.
| | - Fatima Carneiro
- Department of Pathology, Centro Hospitalar de São João, Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
| | - Stefano Cascinu
- Department of Medical Oncology, Comprehensive Cancer Center, Università Vita-Salute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Sarah Derks
- Department of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maria Di Bartolomeo
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Claire Donohoe
- Medicinal Chemistry, Trinity Translational Medicine Institute, Trinity Centre for Health Sciences, Trinity College Dublin, The University of Dublin, St. James's Hospital, Dublin 8, Ireland
| | - Clarisse Eveno
- Department of Digestive and Oncologic Surgery, Claude Huriez University Hospital, Centre Hospitalier Universitaire (CHU) Lille, Université de Lille, Lille, France
| | - Suzanne Gisbertz
- Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Peter Grimminger
- Department of General, Visceral and Transplant Surgery, University Medical Center, University of Mainz, Mainz, Germany
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Heike Grabsch
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
| | - Paulo Kassab
- Gastric Surgery Division, BP Gastric Surgery Department, Santa Casa Medical School, São Paulo, Brazil
| | - Rupert Langer
- Institute of Pathology and Microbiology, Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria
| | - Sara Lonardi
- Istituto Oncologico Veneto IOV-IRCCS, Padua, Italy
| | - Marco Maltoni
- Unit of Palliative Care, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Forlì-Cesena, Italy
| | - Sheraz Markar
- Surgical Interventional Trials Unit, University of Oxford, Oxford, UK
| | - Markus Moehler
- Department of Medicine, Johannes-Gutenberg University Clinic, Mainz, Germany
| | - Daniele Marrelli
- Unit of General Surgery and Surgical Oncology, Department of Medicine Surgery and Neurosciences, University of Siena, 53100, Siena, Italy
| | - Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100, Siena, Italy
| | - Davide Melisi
- Medical Oncology at the Department of Medicine, University of Verona, Verona, Italy
| | - Carlo Milandri
- Department of Oncology, San Donato Hospital, 52100, Arezzo, Italy
| | | | - Bianca Mostert
- Department of Medical Oncology, Erasmus MC Cancer Institute, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Gianni Mura
- Department of Surgery, San Donato Hospital, Arezzo, Italy
| | - Wojciech Polkowski
- Department of Surgical Oncology, Medical University of Lublin, Radziwiłłowska 13 St, 20-080, Lublin, Poland
| | | | - Luca Saragoni
- Pathology Unit, Santa Maria delle Croci Ravenna Hospital, Ravenna, Italy
| | - Mark I Van Berge Henegouwen
- Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth, Bayreuth, Germany
| | - Giuseppe Verlato
- Department of Diagnostics and Public Health, Section of Epidemiology and Medical Statistics, University of Verona, Verona, Italy
| | - Lorena Torroni
- Department of Diagnostics and Public Health, Section of Epidemiology and Medical Statistics, University of Verona, Verona, Italy
| | - Bas Wijnhoven
- Department of Surgery, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands
| | | | - Han-Kwang Yang
- Surgical Department, SNUH National Cancer Center, Seoul, Korea
| | - Franco Roviello
- Unit of General Surgery and Surgical Oncology, Department of Medicine Surgery and Neurosciences, University of Siena, 53100, Siena, Italy
| | - Giovanni de Manzoni
- General and Upper GI Surgery, Department of Surgery, University Hospital Verona, University of Verona, Verona, Italy
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Deng J, Zhang W, Xu M, Zhou J. Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy. Abdom Radiol (NY) 2023; 48:3661-3676. [PMID: 37787962 DOI: 10.1007/s00261-023-04046-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 10/04/2023]
Abstract
Effective neoadjuvant chemotherapy (NAC) can improve the survival of patients with locally progressive gastric cancer, but chemotherapeutics do not always exhibit good efficacy in all patients. Therefore, accurate preoperative evaluation of the effect of neoadjuvant therapy and the appropriate selection of surgery time to minimize toxicity and complications while prolonging patient survival are key issues that need to be addressed. This paper reviews the role of three imaging methods, morphological, functional, radiomics, and artificial intelligence (AI)-based imaging, in evaluating NAC pathological reactions for gastric cancer. In addition, the advantages and disadvantages of each method and the future application prospects are discussed.
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Affiliation(s)
- Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Wenjuan Zhang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Min Xu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China.
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China.
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China.
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China.
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Wei C, He Y, Luo M, Chen G, Nie R, Chen X, Zhou Z, Chen Y. The role of computed tomography features in assessing response to neoadjuvant chemotherapy in locally advanced gastric cancer. BMC Cancer 2023; 23:1157. [PMID: 38012547 PMCID: PMC10683194 DOI: 10.1186/s12885-023-11619-2] [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: 04/25/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023] Open
Abstract
OBJECTIVE To compare the computed tomography (CT) images of patients with locally advanced gastric cancer (GC) before and after neoadjuvant chemotherapy (NAC) in order to identify CT features that could predict pathological response to NAC. METHODS We included patients with locally advanced GC who underwent gastrectomy after NAC from September 2016 to September 2021. We retrieved and collected the patients' clinicopathological characteristics and CT images before and after NAC. We analyzed CT features that could differentiate responders from non-responders and established a logistic regression equation based on these features. RESULTS We included 97 patients (69 [71.1%] men; median [range] age, 60 [26-75] years) in this study, including 66 (68.0%) responders and 31 (32.0%) non-responders. No clinicopathological variable prior to treatment was significantly associated with pathological response. Out of 16 features, three features (ratio of tumor thickness reduction, ratio of reduction of primary tumor attenuation in arterial phase, and ratio of reduction of largest lymph node attenuation in venous phase) on logistic regression analysis were used to establish a regression equation that demonstrated good discrimination performance in predicting pathological response (area under receiver operating characteristic curve 0.955; 95% CI, 0.911-0.998). CONCLUSION Logistic regression equation based on three CT features can help predict the pathological response of patients with locally advanced GC to NAC.
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Affiliation(s)
- Chengzhi Wei
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Yun He
- Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Ma Luo
- Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Guoming Chen
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Runcong Nie
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Xiaojiang Chen
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China
| | - Zhiwei Zhou
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
| | - Yongming Chen
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
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Monti M, Prochowski Iamurri A, Bianchini D, Gallio C, Esposito L, Montanari D, Ruscelli S, Molinari C, Foca F, Passardi A, Vittimberga G, Morgagni P, Frassineti GL. Association between Pre-Treatment Biological Indicators and Compliance to Neoadjuvant/Perioperative Chemotherapy in Operable Gastric Cancer. Nutrients 2023; 15:3604. [PMID: 37630794 PMCID: PMC10458231 DOI: 10.3390/nu15163604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND AND AIMS Perioperative treatment is currently the gold standard approach in Europe for locally advanced gastric cancer (GC). Unfortunately, the phenomenon of patients dropping out of treatment has been frequently observed. The primary aims of this study were to verify if routine blood parameters, inflammatory response markers, sarcopenia, and the depletion of adipose tissues were associated with compliance to neoadjuvant/perioperative chemotherapy. METHODS AND STUDY DESIGN Blood samples were considered before the first and second cycles of chemotherapy. Sarcopenia and adipose indices were calculated with a CT scan before starting chemotherapy and before surgery. Odds ratios (OR) from univariable and multivariable models were calculated with a 95% confidence interval (95% CI). RESULTS A total of 84 patients with locally advanced GC were identified between September 2010 and January 2021. Forty-four patients (52.4%) did not complete the treatment according to the number of cycles planned/performed. Eight patients (9.5%) decided to suspend chemotherapy, seven patients (8.3%) discontinued because of clinical decisions, fourteen patients (16.7%) discontinued because of toxicity and fifteen patients (17.9%) discontinued for miscellaneous causes. Seventy-nine (94%) out of eighty-four patients underwent gastrectomy, with four patients having surgical complications, which led to a suspension of treatment. Sarcopenia was present in 38 patients (50.7%) before chemotherapy began, while it was present in 47 patients (60%) at the CT scan before the gastrectomy. At the univariable analysis, patients with basal platelet to lymphocyte ratio (PLR) ≥ 152 (p = 0.017) and a second value of PLR ≥ 131 (p = 0.007) were more frequently associated with an interruption of chemotherapy. Patients with increased PLR (p = 0.034) compared to the cut-off were associated with an interruption of chemotherapy, while patients with increased monocytes between the first and second cycles were associated with a lower risk of treatment interruption (p = 0.006); patients who underwent 5-fluorouracil plus cisplatin or oxaliplatin had a higher risk of interruption (p = 0.016) compared to patients who underwent a 5-fluorouracil plus leucovorin, oxaliplatin and docetaxel (FLOT) regimen. The multivariable analysis showed a higher risk of interruption for patients who had higher values of PLR compared to the identified cut-off both at pretreatment and second-cycle evaluation (OR: 5.03; 95% CI: 1.34-18.89; p = 0.017) as well as for patients who had a lower PLR than the identified cut-off at pretreatment evaluation and had a higher PLR value than the cut-off at the second cycle (OR: 4.64; 95% CI: 1.02-21.02; p = 0.047). Becker regression was neither affected by a decrease of sarcopenia ≥ 5% (p = 0.867) nor by incomplete compliance with chemotherapy (p = 0.281). CONCLUSIONS Changes in PLR values which tend to increase more than the cut-off seem to be an immediate indicator of incomplete compliance with neoadjuvant/perioperative treatment. Fat loss and sarcopenia do not appear to be related to compliance. More information is needed to reduce the causes of interruption.
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Affiliation(s)
- Manlio Monti
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Andrea Prochowski Iamurri
- Radiology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - David Bianchini
- Medical Physics Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Chiara Gallio
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Luca Esposito
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Daniela Montanari
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Silvia Ruscelli
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Chiara Molinari
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Flavia Foca
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Alessandro Passardi
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Giovanni Vittimberga
- General and Oncologic Surgery, “Morgagni-Pierantoni” Hospital, 47121 Forlì, Italy
| | - Paolo Morgagni
- General and Oncologic Surgery, “Morgagni-Pierantoni” Hospital, 47121 Forlì, Italy
| | - Giovanni Luca Frassineti
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
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Sandø AD, Fougner R, Røyset ES, Dai HY, Grønbech JE, Bringeland EA. Response Evaluation after Neoadjuvant Chemotherapy for Resectable Gastric Cancer. Cancers (Basel) 2023; 15:cancers15082318. [PMID: 37190246 DOI: 10.3390/cancers15082318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/22/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND The method of response evaluation following neoadjuvant chemotherapy (NAC) in resectable gastric cancer has been widely debated. An essential prerequisite is the ability to stratify patients into subsets of different long-term survival rates based on the response mode. Histopathological measures of regression have their limitations, and interest resides in CT-based methods that can be used in everyday settings. METHODS We conducted a population-based study (2007-2016) on 171 consecutive patients with gastric adenocarcinoma who were receiving NAC. Two methods of response evaluation were investigated: a strict radiological procedure using RECIST (downsizing), and a composite radiological/pathological procedure comparing the initial radiological TNM stage to the pathological ypTNM stage (downstaging). Clinicopathological variables that could predict the response were searched for, and correlations between the response mode and long-term survival rates were assessed. RESULTS RECIST failed to identify half of the patients progressing to metastatic disease, and it was unable to assign patients to subsets with different long-term survival rates based on the response mode. However, the TNM stage response mode did achieve this objective. Following re-staging, 48% (78/164) were downstaged, 15% (25/164) had an unchanged stage, and 37% (61/164) were upstaged. A total of 9% (15/164) showed a histopathological complete response. The 5-year overall survival rate was 65.3% (95% CI 54.7-75.9%) for TNM downstaged cases, 40.0% (95% CI 20.8-59.2%) for stable disease, and 14.8% (95% CI 6.0-23.6%) for patients with TNM progression, p < 0.001. In a multivariable ordinal regression model, the Lauren classification and tumor site were the only significant determinants of the response mode. CONCLUSIONS Downsizing, as a method for evaluating the response to NAC in gastric cancer, is discouraged. TNM re-staging by comparing the baseline radiological CT stage to the pathological stage following NAC is suggested as a useful method that may be used in everyday situations.
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Affiliation(s)
- Alina Desiree Sandø
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7034 Trondheim, Norway
| | - Reidun Fougner
- Department of Radiology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Elin Synnøve Røyset
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7034 Trondheim, Norway
- Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Hong Yan Dai
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7034 Trondheim, Norway
- Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Jon Erik Grønbech
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7034 Trondheim, Norway
| | - Erling Audun Bringeland
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, 7034 Trondheim, Norway
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Mazzei MA, Bagnacci G, Perrella A, Di Meglio N, Piccioni SA, Bloise F, Marrelli D, Milandri C, Mura G. Some Concerns from a Radiological Point of View. Comment on Huang et al. Outcomes of Conversion Surgery for Metastatic Gastric Cancer Compared with In-Front Surgery Plus Palliative Chemotherapy or In-Front Surgery Alone. J. Pers. Med. 2022, 12, 555. J Pers Med 2022; 12:jpm12071061. [PMID: 35887558 PMCID: PMC9316308 DOI: 10.3390/jpm12071061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 06/23/2022] [Indexed: 01/23/2023] Open
Abstract
We read, with great interest, the article by Huang Ruo-Yi and colleagues entitled “Outcomes of Conversion Surgery for Metastatic Gastric Cancer Compared with In-Front Surgery Plus Palliative Chemotherapy or In-Front Surgery Alone”, published on 1 April 2022 [...]
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Affiliation(s)
- Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.A.M.); (N.D.M.)
| | - Giulio Bagnacci
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.A.M.); (N.D.M.)
- Correspondence: (G.B.); (A.P.)
| | - Armando Perrella
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.A.M.); (N.D.M.)
- Correspondence: (G.B.); (A.P.)
| | - Nunzia Di Meglio
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.A.M.); (N.D.M.)
| | - Stefania Angela Piccioni
- Unit of General Surgery and Surgical Oncology, Department of Medicine Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; (S.A.P.); (D.M.)
| | - Francesco Bloise
- Department of Oncology, San Donato Hospital, 52100 Arezzo, Italy; (F.B.); (C.M.)
| | - Daniele Marrelli
- Unit of General Surgery and Surgical Oncology, Department of Medicine Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; (S.A.P.); (D.M.)
| | - Carlo Milandri
- Department of Oncology, San Donato Hospital, 52100 Arezzo, Italy; (F.B.); (C.M.)
| | - Gianni Mura
- Department of Surgery, San Donato Hospital, 52100 Arezzo, Italy;
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Solaini L, Bencivenga M, D'ignazio A, Milone M, Marino E, De Pascale S, Rosa F, Sacco M, Romario UF, Graziosi L, De Palma G, Marrelli D, Morgagni P, Ercolani G. Which gastric cancer patients could benefit from staging laparoscopy? A GIRCG multicenter cohort study. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2022; 48:1778-1784. [PMID: 35101316 DOI: 10.1016/j.ejso.2022.01.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/29/2021] [Accepted: 01/19/2022] [Indexed: 02/07/2023]
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8
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Mazzei MA, Bagnacci G, Gentili F, Capitoni I, Mura G, Marrelli D, Petrioli R, Brunese L, Cappabianca S, Catarci M, Degiuli M, De Manzoni G, De Prizio M, Donini A, Romario UF, Funicelli L, Laghi A, Minetti G, Morgagni P, Petrella E, Pittiani F, Rausei S, Romanini L, Rosati R, Ianora AAS, Tiberio GAM, Volterrani L, Roviello F, Grassi R. Structured and shared CT radiological report of gastric cancer: a consensus proposal by the Italian Research Group for Gastric Cancer (GIRCG) and the Italian Society of Medical and Interventional Radiology (SIRM). Eur Radiol 2022; 32:938-949. [PMID: 34383148 PMCID: PMC8359760 DOI: 10.1007/s00330-021-08205-0] [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: 04/26/2021] [Revised: 06/15/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Written radiological report remains the most important means of communication between radiologist and referring medical/surgical doctor, even though CT reports are frequently just descriptive, unclear, and unstructured. The Italian Society of Medical and Interventional Radiology (SIRM) and the Italian Research Group for Gastric Cancer (GIRCG) promoted a critical shared discussion between 10 skilled radiologists and 10 surgical oncologists, by means of multi-round consensus-building Delphi survey, to develop a structured reporting template for CT of GC patients. METHODS Twenty-four items were organized according to the broad categories of a structured report as suggested by the European Society of Radiology (clinical referral, technique, findings, conclusion, and advice) and grouped into three "CT report sections" depending on the diagnostic phase of the radiological assessment for the oncologic patient (staging, restaging, and follow-up). RESULTS In the final round, 23 out of 24 items obtained agreement ( ≥ 8) and consensus ( ≤ 2) and 19 out 24 items obtained a good stability (p > 0.05). CONCLUSIONS The structured report obtained, shared by surgical and medical oncologists and radiologists, allows an appropriate, clearer, and focused CT report essential to high-quality patient care in GC, avoiding the exclusion of key radiological information useful for multidisciplinary decision-making. KEY POINTS • Imaging represents the cornerstone for tailored treatment in GC patients. • CT-structured radiology report in GC patients is useful for multidisciplinary decision making.
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Affiliation(s)
- Maria Antonietta Mazzei
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy ,SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy
| | - Giulio Bagnacci
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy ,SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy
| | - Francesco Gentili
- SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy ,Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Iacopo Capitoni
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Gianni Mura
- Department of Surgery, Division of General Surgery, Arezzo Hospital, Arezzo, Italy
| | - Daniele Marrelli
- Department of Medicine, Surgery and Neuroscience, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy
| | - Roberto Petrioli
- Department of Oncology, Unit of Medical Oncology, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Luca Brunese
- Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy ,SIRM, Italian College of Oncology, Italian Society of Medical and Interventional Radiology, Milan, Italy
| | - Salvatore Cappabianca
- SIRM, Italian College of Oncology, Italian Society of Medical and Interventional Radiology, Milan, Italy ,Division of Radiology, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Marco Catarci
- FACS; UOC Chirurgia Generale; Ospedale Sandro Pertini – ASL Roma 2, Roma, Italy
| | - Maurizio Degiuli
- Surgical Oncology and Digestive Surgery Unit, Department of Oncology, University of Turin; San Luigi University Hospital, Orbassano, Italy
| | | | - Marco De Prizio
- Department of Surgery, Division of General Surgery, Arezzo Hospital, Arezzo, Italy
| | - Annibale Donini
- Department of Surgery and Biomedical Sciences, University of Perugia, Perugia, Italy
| | | | - Luigi Funicelli
- SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy ,SIRM, Italian College of Oncology, Italian Society of Medical and Interventional Radiology, Milan, Italy ,Digestive Surgery, IEO European Institute of Oncology – IRCCS, Milan, Italy
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome – Sant’Andrea University Hospital, Rome, Italy ,SIRM, Italian College of Gastroenterology, Italian Society of Medical and Interventional Radiology, Milan, Italy
| | - Giuseppe Minetti
- SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy ,Radiology Department, Ospedale Policlinico San Martino, IRCCS per L’Oncologia e le Neuroscienze, Genoa, Italy
| | - Paolo Morgagni
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, Forlì, Italy
| | - Enrico Petrella
- Radiology Unit, Morgagni-Pierantoni Hospital, AUSL Romagna, Forlì, Italy
| | - Frida Pittiani
- SIRM, Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, Milan, Italy ,Department of Radiology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Stefano Rausei
- Department of Surgery, ASST Valle Olona, Gallarate, Varese, Italy
| | | | - Riccardo Rosati
- Endocrine Unit, Department of Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Amato Antonio Stabile Ianora
- Interdisciplinary Department of Medicine, Section of Radiology and Radiation Oncology, University of Bari, Bari, Italy
| | - Guido A. M. Tiberio
- Surgical Unit, Department of Experimental and Clinical Sciences, University of Brescia, Brescia, Italy
| | - Luca Volterrani
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy ,SIRM, Italian College of Oncology, Italian Society of Medical and Interventional Radiology, Milan, Italy
| | - Franco Roviello
- Department of Medicine, Surgery and Neuroscience, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy
| | - Roberto Grassi
- Division of Radiology, University of Campania Luigi Vanvitelli, Naples, Italy ,SIRM Foundation, Italian Society of Medical and Interventional Radiology, Milan, Italy
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9
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Li N, Wang X, Tang Y, Zhao D, Chi Y, Yang L, Jiang L, Jiang J, Shi J, Liu W, Ren H, Fang H, Tang Y, Chen B, Lu N, Jing H, Qi S, Wang S, Liu Y, Song Y, Li Y, Jin J. Down-staging depth score could be a survival predictor for locally advanced gastric cancer patients after preoperative chemoradiotherapy. Chin J Cancer Res 2021; 33:447-456. [PMID: 34584370 PMCID: PMC8435822 DOI: 10.21147/j.issn.1000-9604.2021.04.02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 06/22/2021] [Indexed: 01/17/2023] Open
Abstract
Objective The predictive effect of preoperative chemoradiotherapy (CRT) is low and difficult in guiding individualized treatment. We examined a surrogate endpoint for long-term outcomes in locally advanced gastric cancer patients after preoperative CRT. Methods From April 2012 to April 2019, 95 patients with locally advanced gastric cancer who received preoperative concurrent CRT and who were enrolled in three prospective studies were included. All patients were stage T3/4N+. Local control, distant metastasis-free survival (DMFS), disease-free survival (DFS) and overall survival (OS) were evaluated. Clinicopathological factors related to long-term prognosis were analyzed using univariate and multivariate analyses. The down-staging depth score (DDS), which is a novel method of evaluating CRT response, was used to predict long-term outcomes. Results The median follow-up period for survivors was 30 months. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve predicted by the DDS was 0.728, which was better than the pathological complete response (pCR), histological response and ypN0. Decision curve analysis further affirmed that DDS had the largest net benefit. The DDS cut-off value was 4. pCR and ypN0 were associated with OS (P=0.026 and 0.049). Surgery and DDS are correlated with DMFS, DFS and OS (surgery: P=0.001, <0.001 and <0.001, respectively; and DDS: P=0.009, 0.013 and 0.032, respectively). Multivariate analysis showed that DDS was an independent prognostic factor of DFS (P=0.021). Conclusions DDS is a simple, short-term indicator that was a better surrogate endpoint than pCR, histological response and ypN0 for DFS.
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Affiliation(s)
- Ning Li
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Xin Wang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Yuan Tang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Dongbin Zhao
- Department of Abdominal Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yihebali Chi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Liming Jiang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jun Jiang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jinming Shi
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Wenyang Liu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Hua Ren
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Hui Fang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Yu Tang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Bo Chen
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Ningning Lu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Hao Jing
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Shunan Qi
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Shulian Wang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Yueping Liu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Yongwen Song
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Yexiong Li
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
| | - Jing Jin
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
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10
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Sandø AD, Fougner R, Grønbech JE, Bringeland EA. The value of restaging CT following neoadjuvant chemotherapy for resectable gastric cancer. A population-based study. World J Surg Oncol 2021; 19:212. [PMID: 34256790 PMCID: PMC8278640 DOI: 10.1186/s12957-021-02313-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 06/22/2021] [Indexed: 12/15/2022] Open
Abstract
Background Response evaluation following neoadjuvant chemotherapy (NAC) in gastric cancer is debated. The aim of this study was to investigate the value of UICC-downstaging as mode of response evaluation following a MAGIC-style regimen of NAC. Methods Retrospective, population-based study on consecutive patients with resectable gastric adenocarcinoma receiving NAC from 2007 to 2016. CT-scan was obtained at diagnosis (rTNM) and repeated following NAC (yrTNM) to evaluate response in terms of downstaging. Further, yrTNM stage was crosstabulated to pathologic stage (ypTNM) to depict correlation between radiologic and pathologic assessment. Results Of 171 patients receiving NAC, 169 were available for response evaluation. For TNM-stages, 43% responded, 50% had stable disease and 7% progressed at CT. Crosstabulating yrTNM stage to ypTNM stage, 24% had concordant stages, with CT overstaging 38% and understaging 38% of the tumours, Cohen kappa ƙ = 0,06 (95%CI 0.004–0.12). Similar patterns of discordance were found for T-stages and N-stages separately. For M-category, restaging CT detected 12 patients with carcinomatosis, with an additional 14 diagnosed with carcinomatosis only at operation. No patient developed parenchymal or extra abdominal metastases, and none developed locally non-resectable tumour during delivery of NAC. Restaging CT with response evaluation was not able to stratify patients into groups of different long-term survival rates based on response mode. Conclusions Routine CT-scan following NAC is of limited value. Accuracy of CT staging compared to final pathologic stage is poor, and radiologic downstaging as measure of response evaluation is unreliable and unable to discriminate long-term survival rates based on response mode.
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Affiliation(s)
- Alina Desiree Sandø
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7006, Trondheim, Norway. .,Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Reidun Fougner
- Department of Radiology St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Jon Erik Grønbech
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7006, Trondheim, Norway.,Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erling Audun Bringeland
- Department of Gastrointestinal Surgery, St. Olavs Hospital, Trondheim University Hospital, 7006, Trondheim, Norway.,Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
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11
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Mazzei MA, Di Giacomo L, Bagnacci G, Nardone V, Gentili F, Lucii G, Tini P, Marrelli D, Morgagni P, Mura G, Baiocchi GL, Pittiani F, Volterrani L, Roviello F. Delta-radiomics and response to neoadjuvant treatment in locally advanced gastric cancer-a multicenter study of GIRCG (Italian Research Group for Gastric Cancer). Quant Imaging Med Surg 2021; 11:2376-2387. [PMID: 34079708 DOI: 10.21037/qims-20-683] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background To predict response to neoadjuvant chemotherapy (NAC) of gastric cancer (GC), prior to surgery, would be pivotal to customize patient treatment. The aim of this study is to investigate the reliability of computed tomography (CT) texture analysis (TA) in predicting the histo-pathological response to NAC in patients with resectable locally advanced gastric cancer (AGC). Methods Seventy (40 male, mean age 63.3 years) patients with resectable locally AGC, treated with NAC and radical surgery, were included in this retrospective study from 5 centers of the Italian Research Group for Gastric Cancer (GIRCG). Population was divided into two groups: 29 patients from one center (internal cohort for model development and internal validation) and 41 from other four centers (external cohort for independent external validation). Gross tumor volume (GTV) was segmented on each pre- and post-NAC multidetector CT (MDCT) image by using a dedicated software (RayStation), and 14 TA parameters were then extrapolated. Correlation between TA parameters and complete pathological response (tumor regression grade, TRG1), was initially investigated for the internal cohort. The univariate significant variables were tested on the external cohort and multivariate logistic analysis was performed. Results In multivariate logistic regression the only significant TA variable was delta gray-level co-occurrence matrix (GLCM) contrast (P=0.001, Nagelkerke R2: 0.546 for the internal cohort and P=0.014, Nagelkerke R2: 0.435 for the external cohort). Receiver operating characteristic (ROC) curves, generated from the logistic regression of all the patients, showed an area under the curve (AUC) of 0.763. Conclusions Post-NAC GLCM contrast and dissimilarity and delta GLCM contrast TA parameters seem to be reliable for identifying patients with locally AGC responder to NAC.
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Affiliation(s)
- Maria Antonietta Mazzei
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Letizia Di Giacomo
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Giulio Bagnacci
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | | | - Francesco Gentili
- Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
| | - Gabriele Lucii
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Paolo Tini
- Unit of Radiation Oncology, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Daniele Marrelli
- Department of Medical, Surgical and Neuro Sciences, Unit of Surgical Oncology, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Paolo Morgagni
- Department of General Surgery, Morgagni-Pierantoni Hospital, Forlì, Italy
| | - Gianni Mura
- Department of Surgery, San Donato Hospital, Arezzo, Italy
| | - Gian Luca Baiocchi
- Department of Clinical and Experimental Studies, Surgical Clinic, University of Brescia, Brescia, Italy
| | - Frida Pittiani
- Department of Radiology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Luca Volterrani
- Department of Medical, Surgical and Neuro Sciences, University of Siena and Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Franco Roviello
- Department of Medical, Surgical and Neuro Sciences, Unit of Surgical Oncology, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
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12
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Kim JY, Kim TJ, Lee DK, Min YW, Lee H, Min BH, Lee JH, An JY, Choi MG, Sohn TS, Bae JM, Kim HS, Ahn JH, Kim JJ. A preoperative risk prediction model for high malignancy potential gastrointestinal stromal tumors of the stomach. Surg Endosc 2021; 36:2129-2137. [PMID: 33999252 DOI: 10.1007/s00464-021-08501-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 04/03/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Gastric gastrointestinal stromal tumors (GISTs) exhibit various degrees of aggression and malignant potential. However, no systematic preoperative evaluation strategy to predict the malignancy potential of gastric GISTs has yet been developed. This study aimed to develop a reliable and easy-to-use preoperative risk-scoring model for predicting high malignancy potential (HMP) gastric GISTs. METHODS The data of 542 patients with pathologically confirmed gastric GISTs who underwent resection were reviewed. Multivariate logistic regression analysis was used to identify significant predictors of HMP. The risk-scoring system (RSS) was based on the predictive factors for HMP, and its performance was validated using a split-sample approach. RESULTS A total of 239 of 542 (44.1%) surgically resected gastric GISTs had HMP. Multivariate analysis demonstrated that tumor size, location, and surface changes were independent risk factors for HMP. Based on the accordant regression coefficients, the presence of surface ulceration was assigned 1 point. Tumor sizes of 4-6 cm and > 6 cm were assigned 2 and 5 points, respectively. Two points were assigned to cardia or fundus locations. A score of 3 points was the optimal cut-off value for HMP prediction. HMP were found in 19.8% and 82.7% of the low and high-risk groups of the RSS, respectively. The area under the receiver-operating characteristic curve for predicting HMP was 0.81 (95% confidence interval (CI) 0.75-0.86). Discrimination was good after validation (0.75, 95% CI 0.69-0.81). CONCLUSION This simple RSS could be useful for predicting the malignancy potential of gastric GISTs and may aid preoperative clinical decision making to ensure optimal treatment.
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Affiliation(s)
- Jun Young Kim
- Department of Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Tae Jun Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Dong Kyu Lee
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Yang Won Min
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Hyuk Lee
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Byung-Hoon Min
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Jun Haeng Lee
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Ji Yeong An
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Min Gew Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Tae Sung Sohn
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Moon Bae
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hye Seung Kim
- Statistics and Data Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joong Hyun Ahn
- Statistics and Data Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae J Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
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13
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Xu JJ, Taudorf M, Ulriksen PS, Achiam MP, Resch TA, Nielsen MB, Lönn LB, Hansen KL. Gastrointestinal Applications of Iodine Quantification Using Dual-Energy CT: A Systematic Review. Diagnostics (Basel) 2020; 10:diagnostics10100814. [PMID: 33066281 PMCID: PMC7602017 DOI: 10.3390/diagnostics10100814] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/04/2020] [Accepted: 10/07/2020] [Indexed: 12/15/2022] Open
Abstract
Dual-energy computed tomography (DECT) can estimate tissue vascularity and perfusion via iodine quantification. The aim of this systematic review was to outline current and emerging clinical applications of iodine quantification within the gastrointestinal tract using DECT. The search was conducted with three databases: EMBASE, Pubmed and The Cochrane Library. This identified 449 studies after duplicate removal. From a total of 570 selected studies, 30 studies were enrolled for the systematic review. The studies were categorized into four main topics: gastric tumors (12 studies), colorectal tumors (8 studies), Crohn’s disease (4 studies) and miscellaneous applications (6 studies). Findings included a significant difference in iodine concentration (IC) measurements in perigastric fat between T1–3 vs. T4 stage gastric cancer, poorly and well differentiated gastric and colorectal cancer, responders vs. non-responders following chemo- or chemoradiotherapy treatment among cancer patients, and a positive correlation between IC and Crohn’s disease activity. In conclusion, iodine quantification with DECT may be used preoperatively in cancer imaging as well as for monitoring treatment response. Future studies are warranted to evaluate the capabilities and limitations of DECT in splanchnic flow.
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Affiliation(s)
- Jack Junchi Xu
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.B.N.); (L.B.L.); (K.L.H.)
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
- Correspondence:
| | - Mikkel Taudorf
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
| | - Peter Sommer Ulriksen
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
| | - Michael Patrick Achiam
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
- Department of Vascular Surgery, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark
| | - Timothy Andrew Resch
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Michael Bachmann Nielsen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.B.N.); (L.B.L.); (K.L.H.)
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
| | - Lars Birger Lönn
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.B.N.); (L.B.L.); (K.L.H.)
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
| | - Kristoffer Lindskov Hansen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.B.N.); (L.B.L.); (K.L.H.)
- Department of Surgical Gastroenterology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (M.T.); (P.S.U.); (M.P.A.); (T.A.R.)
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Gastrointestinal stromal tumors (GIST): a proposal of a "CT-based predictive model of Miettinen index" in predicting the risk of malignancy. Abdom Radiol (NY) 2020; 45:2989-2996. [PMID: 31506758 DOI: 10.1007/s00261-019-02209-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE To identify the predictors of malignancy on CT for the evaluation of gastrointestinal stromal tumors (GIST) by correlating CT findings with the mitotic index in order to propose a "CT-based predictive model of Miettinen index." METHODS One radiologist and one resident in radiology with 14- and 4-year experience in oncological field reviewed the CT findings of 42 patients by consensus, with respect to lesion site, size, contour, tumor growth pattern, enhancing pattern, degree of enhancement of tumor, percentage of tumor necrosis, mesenteric fat infiltration, ulceration, calcification, regional lymphadenopathy, direct invasion to adjacent organs, and distant metastasis. All parameters were correlated with the mitotic index evaluated at histopathological analysis following surgery. Normality of variables was evaluated using Shapiro-Wilk test. Pearson's correlation test was used to assess the interaction between variables. The diagnostic accuracy percentage of tumor necrosis was measured by receiver operating characteristic (ROC) analysis for detecting whether the number of mitosis per 50 high-power fields was > 5. RESULTS A significant statistical correlation was found between percentage of tumor necrosis and the mitotic index (p < 0.005), dimension, and location of the tumor. CONCLUSION CT could be an accurate technique in the prediction of malignancy of GIST in a CT risk assessment system, based on the location of the tumor, its size, and the percentage of tumor necrosis.
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STAMBPL1 knockdown has antitumour effects on gastric cancer biological activities. Oncol Lett 2019; 18:4421-4428. [PMID: 31611951 PMCID: PMC6781489 DOI: 10.3892/ol.2019.10789] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 05/22/2019] [Indexed: 12/11/2022] Open
Abstract
The present study aimed to investigate the effects and mechanisms of STAM binding protein-like 1 (STAMBPL1) knockdown in the suppression of gastric cancer activities. Pathological data and STAMBPL1 protein expression were analysed in 36 patients with gastric cancer, including 24 stage I-II and 12 stage III-IV patients, by haematoxylin and eosin staining and immunohistochemistry. In vitro cell experiments were performed to measure AGS cell proliferation, apoptosis, invasion and migration by MTT, Celigo cell count, flow cytometry, Transwell and wound healing assays following STAMBPL1 knockdown. The relative protein expression levels were evaluated by western blotting. When compared with the adjacent normal tissues, STAMBPL1 protein expression in the gastric cancer tissues with increasing stages was significantly upregulated (P<0.01 or P<0.001). STAMBPL1 gene expression was not identified to be significantly different between AGS and MGC80-3 gastric cancer cells (P>0.05). Following STAMBPL1 knockdown by short hairpin RNA (sh)STAMBPL1, cell proliferation was significantly suppressed, the cell apoptosis rate was significantly upregulated, and the numbers of invasive AGS cells and the AGS wound healing rate were significantly decreased (P<0.01 and P<0.001, respectively), compared with those in the shControl group. Additionally, STAMBPL1 and NF-κB protein expression levels were significantly downregulated in the shSTAMBPL1 group (P<0.001, respectively). STAMBPL1 may be oncogenic in gastric cancer, and STAMBPL1 knockdown may suppress gastric cancer development.
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Gentili F, Pelini V, Lucii G, Luzzi L, Mazzei FG, Fausto A, Volterrani L, Mazzei MA. Update in diagnostic imaging of the thymus and anterior mediastinal masses. Gland Surg 2019; 8:S188-S207. [PMID: 31559186 DOI: 10.21037/gs.2019.05.06] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Anterior mediastinal masses include a wide spectrum of malignant and benign pathologies with a large percentage represented by thymic lesions. Distinguishing these masses on diagnostic imaging is fundamental to guide the proper management for each patient. This review illustrates possibilities and limits of different imaging modalities to diagnose a lesion of the anterior mediastinum with particular attention to thymic disease.
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Affiliation(s)
- Francesco Gentili
- Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Veronica Pelini
- Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Gabriele Lucii
- Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Luca Luzzi
- Thoracic Surgery Unit, Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | | | - Alfonso Fausto
- Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Luca Volterrani
- Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Maria Antonietta Mazzei
- Department of Medicine, Surgery and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy
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He YL, Zhang B. Clinical significance of expression of CBX2 in gastric cancer. Shijie Huaren Xiaohua Zazhi 2019; 27:872-877. [DOI: 10.11569/wcjd.v27.i14.872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The incidence of gastric cancer (GC) is high in recent years and it is very urgent to explore new targets for the diagnosis and treatment of GC.
AIM To investigate the expression and clinical significance of chromobox homolog 2 (CBX2) in GC cells and tissues.
METHODS The expression levels of CBX2 mRNA and protein in GC cells, normal gastric mucosal epithelial cells, GC tissues, and their adjacent normal tissues were detected by real-time fluorescent quantitative PCR and Western blot, respectively. The expression of CBX2 in 66 cases of GC and matched paracancerous tissues was detected by immunohistochemistry. The relationship between the expression of CBX2 and the clinicopathological features and prognosis of GC patients was analyzed.
RESULTS The expression of CBX2 mRNA in GC cells was higher than that in normal gastric mucosal epithelial cells (P < 0.05). The expression of CBX2 mRNA and protein in GC tissues was higher than that in adjacent tissues (P < 0.05). The positive expression rate of CBX2 in GC tissues was 40.9% (27/66), and it was 12.1% (8/66) in normal tissues adjacent to cancer. CBX2 was positively expressed in GC tissues. The expression rate was higher than that of adjacent tissues (P < 0.05). The expression of CBX2 protein was correlated with tumor metastasis (P < 0.05).
CONCLUSION CBX2 is overexpressed in GC cells and tissues, and it has a certain degree of connection with the prognosis and outcome of patients with GC.
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Affiliation(s)
- Yi-Lan He
- Department of Oncology, Third People's Hospital of Yuhang District, Hangzhou 311115, Zhejiang Province, China
| | - Bo Zhang
- Department of Oncology, Integrated Traditional Chinese and Western Medicine, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China
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T and N Staging of Gastric Cancer Using Dual-Source Computed Tomography. Gastroenterol Res Pract 2019; 2018:5015202. [PMID: 30622560 PMCID: PMC6304930 DOI: 10.1155/2018/5015202] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 09/12/2018] [Accepted: 09/24/2018] [Indexed: 02/06/2023] Open
Abstract
Aim This study is aimed at comparing gastric cancer T and N staging between virtual monochromatic energy images and fusion images generated by dual-source computed tomography (DSCT) dual-energy mode data acquisition prospectively while measuring the iodine concentration of gastric cancer and lymph nodes at different T and N stages from iodine map retrospectively. Methods A total of 71 patients (50 males and 21 females; mean age: 59 ± 11 years) confirmed with gastric cancer by endoscopic biopsy with no neoadjuvant chemotherapy were enrolled for the CT examination before surgeries. The preoperative T and N staging results were compared between groups with pathological results as the gold standard. The iodine concentrations of the gastric lesions and LNs were measured on the iodine-based material decomposition images. All iodine concentration values were normalized against those in the abdominal aorta and defined as normalized iodine concentration (nIC) values. The short axis length of LNs and nIC values were statistically analyzed. Results Group A was better than group B for T3 and T4 staging. No statistically significant difference in the overall accuracies for N staging was found between groups. For the late arterial and delayed phases, T3 and T4 nIC values of the extraserosal adipose tissue showed statistically significant differences. The nIC values between N0 and Nm (N1-N3) showed statistically significant differences in the portal phase only. Conclusions T3 and T4 nIC values of the extraserosal adipose tissue showed statistically significant differences. Hence, dual-source CT may be helpful in the differential diagnosis between T3 and T4.
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Mazzei MA, Nardone V, Di Giacomo L, Bagnacci G, Gentili F, Tini P, Marrelli D, Volterrani L. The role of delta radiomics in gastric cancer. Quant Imaging Med Surg 2018; 8:719-721. [PMID: 30211038 DOI: 10.21037/qims.2018.07.08] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Maria Antonietta Mazzei
- Department of Medicine, Surgery and Neuroscience, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy
| | - Valerio Nardone
- Unit of Radiation Oncology, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Letizia Di Giacomo
- Department of Medicine, Surgery and Neuroscience, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy
| | - Giulio Bagnacci
- Department of Medicine, Surgery and Neuroscience, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy
| | - Francesco Gentili
- Department of Medicine, Surgery and Neuroscience, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy
| | - Paolo Tini
- Unit of Radiation Oncology, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Daniele Marrelli
- Department of Medicine, Surgery and Neuroscience, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy
| | - Luca Volterrani
- Department of Medicine, Surgery and Neuroscience, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy
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