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Younis F, Rösch T, Beyna T, Ebigbo A, Faiss S, May A, Pech O, Dautel P, Anders M, Clauditz T, Zimmermann-Fraedrich K, Sehner S, Schachschal G. Expert assessment of infiltration depth and recommendation of endoscopic resection technique in early Barrett cancer. United European Gastroenterol J 2024. [PMID: 38873843 DOI: 10.1002/ueg2.12604] [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] [Received: 03/09/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Early Barrett cancer can be curatively treated by endoscopic resection. The choice of the resection technique, however-endoscopic mucosal resection (EMR) or submucosal dissection (ESD)-largely depends on the assumed infiltration depth as judged by the endoscopist. However, the accuracy of endoscopic diagnosis of the degree of cancer infiltration is not known. METHODS Three to four high-quality images (both in overview and close-up) from 202 of early Barrett esophagus cancer cases (82% men, mean age 66.9 years) were selected from our endoscopy database (73.3% stage T1a and 26.7% in stage T1b). Images were shown to 9 Barrett esophagus experts, with patients' clinical data (age, sex, Barrett esophagus length) and biopsy results. The experts were asked to predict infiltration depth (T1b vs. T1a), and to suggest the appropriate endoscopic resection technique (EMR or ESD, or surgery). Interobserver variability (kappa values) was also determined for these parameters. RESULTS Overall positive (PPV) and negative predictive values (NPV) to diagnose T1b versus T1a infiltration were 40.7% (95% CI: 36.7, 44.8) and 79.8% (95% CI: 77.5, 81.9), respectively; kappa value was 0.41. Paris classification (kappa 0.51) and suggested treatment also varied between experts. In a post hoc analysis, only the correlation between lesions classified as invisible or flat according to the Paris classification (IIB; 25% of all cases) and the suggested resection technique was better: In this subgroup, EMR was recommended in >80% of cases, with a high complete (basal R0) resection rate (mean of 88.1%). CONCLUSIONS Precise endoscopic distinction between mucosal and submucosal involvement of Barrett esophagus cancer by experts as a basis for choosing the resection technique has limited predictive values and high interobserver variability. It seems that mainly invisible/flat lesions may result in good resection outcomes when treated by EMR, but this stratification strategy has to be assessed in further studies.
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Affiliation(s)
- Fadi Younis
- Department of Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Gastroenterology and Hepatology, Tel Aviv Sourasky Medical Center, and Tel-Aviv University, Tel Aviv, Israel
| | - Thomas Rösch
- Department of Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Torsten Beyna
- Department of Internal Medicine and Gastroenterology, Evangelisches Krankenhaus, Düsseldorf, Germany
| | - Alanna Ebigbo
- Department of Gastroenterology, Klinikum Augsburg, Augsburg, Germany
| | - Siegbert Faiss
- Department of Gastroenterology, Sana Klinikum Lichtenberg, Berlin, Germany
| | - Andrea May
- Department of Gastroenterology, Hepatology, Oncology and Pneumology, Asklepios Paulinen Hospital, Wiesbaden, Germany
| | - Oliver Pech
- Department of Gastroenterology and Hepatology, Krankenhaus Barmherzige Brüder, Regensburg, Germany
| | - Philip Dautel
- Department of Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Mario Anders
- Department of Gastroenterology and Interdisciplinary Endoscopy, Vivantes Auguste Viktoria Hospital, Berlin, Germany
| | - Till Clauditz
- Institute of Pathology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | | | - Susanne Sehner
- Department of Medical Biometry and Epidemiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Guido Schachschal
- Department of Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf, Hamburg, Germany
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2
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Gounella R, Granado TC, Hideo Ando Junior O, Luporini DL, Gazziro M, Carmo JP. Endoscope Capsules: The Present Situation and Future Outlooks. Bioengineering (Basel) 2023; 10:1347. [PMID: 38135938 PMCID: PMC10741108 DOI: 10.3390/bioengineering10121347] [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: 09/05/2023] [Revised: 11/04/2023] [Accepted: 11/20/2023] [Indexed: 12/24/2023] Open
Abstract
This paper presents new perspectives on photonic technologies for capsule endoscopy. It first presents a review of conventional endoscopy (upper endoscopy and colonoscopy), followed by capsule endoscopy (CE), as well as their techniques, advantages, and drawbacks. The technologies for CEs presented in this paper include integration with the existing endoscopic systems that are commercially available. Such technologies include narrow-band imaging (NBI), photodynamic therapy (PDT), confocal laser endomicroscopy (CLE), optical coherence tomography (OCT), and spectroscopy in order to improve the performance of the gastrointestinal (GI) tract examination. In the context of NBI, two optical filters were designed and fabricated for integration into endoscopic capsules, allowing for the visualization of light centered at the 415 nm and 540 nm wavelengths. These optical filters are based on the principle of Fabry-Perot and were made of thin films of titanium dioxide (TiO2) and silicon dioxide (SiO2). Moreover, strategies and solutions for the adaptation of ECs for PDT are also discussed.
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Affiliation(s)
- Rodrigo Gounella
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
| | - Talita Conte Granado
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
| | - Oswaldo Hideo Ando Junior
- Academic Unit of Cabo de Santo Agostinho (UACSA), Federal Rural University of Pernambuco (UFRPE), Cabo de Santo Agostinho 54518-430, Brazil;
| | - Daniel Luís Luporini
- Clinica Endoscopia São Carlos, Rua Paulino Botelho de Abreu Sampaio, 958, Centro, São Carlos 13561-060, Brazil;
| | - Mario Gazziro
- Information Engineering Group, Department of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, Brazil;
| | - João Paulo Carmo
- Group of Metamaterials Microwaves and Optics (GMeta), Department of Electrical Engineering (SEL), University of São Paulo (USP), Avenida Trabalhador São-Carlense, Nr. 400, Parque Industrial Arnold Schimidt, São Carlos 13566-590, Brazil; (T.C.G.); (J.P.C.)
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Zammarchi I, Santacroce G, Iacucci M. Next-Generation Endoscopy in Inflammatory Bowel Disease. Diagnostics (Basel) 2023; 13:2547. [PMID: 37568910 PMCID: PMC10417286 DOI: 10.3390/diagnostics13152547] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 08/13/2023] Open
Abstract
Endoscopic healing is recognized as a primary treatment goal in Inflammatory Bowel Disease (IBD). However, endoscopic remission may not reflect histological remission, which is crucial to achieving favorable long-term outcomes. The development of new advanced techniques has revolutionized the field of IBD assessment and management. These tools can accurately assess vascular and mucosal features, drawing endoscopy closer to histology. Moreover, they can enhance the detection and characterization of IBD-related dysplasia. Given the persistent challenge of interobserver variability, a more standardized approach to endoscopy is warranted, and the integration of artificial intelligence (AI) holds promise for addressing this limitation. Additionally, although molecular endoscopy is still in its infancy, it is a promising tool to forecast response to therapy. This review provides an overview of advanced endoscopic techniques, including dye-based and dye-less chromoendoscopy, and in vivo histological examinations with probe-based confocal laser endomicroscopy and endocytoscopy. The remarkable contribution of these tools to IBD management, especially when integrated with AI, is discussed. Specific attention is given to their role in improving disease assessment, detection, and characterization of IBD-associated lesions, and predicting disease-related outcomes.
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Affiliation(s)
| | | | - Marietta Iacucci
- APC Microbiome Ireland, College of Medicine and Health, University College Cork, T12 R229 Cork, Ireland; (I.Z.); (G.S.)
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4
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Hussein M, González‐Bueno Puyal J, Lines D, Sehgal V, Toth D, Ahmad OF, Kader R, Everson M, Lipman G, Fernandez‐Sordo JO, Ragunath K, Esteban JM, Bisschops R, Banks M, Haefner M, Mountney P, Stoyanov D, Lovat LB, Haidry R. A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks. United European Gastroenterol J 2022; 10:528-537. [PMID: 35521666 PMCID: PMC9278593 DOI: 10.1002/ueg2.12233] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 03/31/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND AIMS Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection. We have developed convolutional neural networks (CNNs) to identify areas of dysplasia and where to target biopsy. METHODS 119 Videos were collected in high-definition white light and optical chromoendoscopy with i-scan (Pentax Hoya, Japan) imaging in patients with dysplastic and non-dysplastic BE (NDBE). We trained an indirectly supervised CNN to classify images as dysplastic/non-dysplastic using whole video annotations to minimise selection bias and maximise accuracy. The CNN was trained using 148,936 video frames (31 dysplastic patients, 31 NDBE, two normal esophagus), validated on 25,161 images from 11 patient videos and tested on 264 iscan-1 images from 28 dysplastic and 16 NDBE patients which included expert delineations. To localise targeted biopsies/delineations, a second directly supervised CNN was generated based on expert delineations of 94 dysplastic images from 30 patients. This was tested on 86 i-scan one images from 28 dysplastic patients. FINDINGS The indirectly supervised CNN achieved a per image sensitivity in the test set of 91%, specificity 79%, area under receiver operator curve of 93% to detect dysplasia. Per-lesion sensitivity was 100%. Mean assessment speed was 48 frames per second (fps). 97% of targeted biopsy predictions matched expert and histological assessment at 56 fps. The artificial intelligence system performed better than six endoscopists. INTERPRETATION Our CNNs classify and localise dysplastic Barrett's Esophagus potentially supporting endoscopists during surveillance.
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Affiliation(s)
- Mohamed Hussein
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Juana González‐Bueno Puyal
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Odin VisionLondonUK
| | | | - Vinay Sehgal
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | | | - Omer F. Ahmad
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Rawen Kader
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
| | - Martin Everson
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
| | - Gideon Lipman
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
| | | | - Krish Ragunath
- NIHR Nottingham Digestive Diseases Biomedical Research CentreNottinghamUK
| | | | | | - Matthew Banks
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | | | | | - Danail Stoyanov
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
| | - Laurence B. Lovat
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Rehan Haidry
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
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5
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Spadaccini M, Vespa E, Chandrasekar VT, Desai M, Patel HK, Maselli R, Fugazza A, Carrara S, Anderloni A, Franchellucci G, De Marco A, Hassan C, Bhandari P, Sharma P, Repici A. Advanced imaging and artificial intelligence for Barrett's esophagus: What we should and soon will do. World J Gastroenterol 2022; 28:1113-1122. [PMID: 35431503 PMCID: PMC8985480 DOI: 10.3748/wjg.v28.i11.1113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/12/2021] [Accepted: 02/13/2022] [Indexed: 02/06/2023] Open
Abstract
Barrett’s esophagus (BE) is a well-established risk factor for esophageal adenocarcinoma. It is recommended that patients have regular endoscopic surveillance, with the ultimate goal of detecting early-stage neoplastic lesions before they can progress to invasive carcinoma. Detection of both dysplasia or early adenocarcinoma permits curative endoscopic treatments, and with this aim, thorough endoscopic assessment is crucial and improves outcomes. The burden of missed neoplasia in BE is still far from being negligible, likely due to inappropriate endoscopic surveillance. Over the last two decades, advanced imaging techniques, moving from traditional dye-spray chromoendoscopy to more practical virtual chromoendoscopy technologies, have been introduced with the aim to enhance neoplasia detection in BE. As witnessed in other fields, artificial intelligence (AI) has revolutionized the field of diagnostic endoscopy and is set to cover a pivotal role in BE as well. The aim of this commentary is to comprehensively summarize present evidence, recent research advances, and future perspectives regarding advanced imaging technology and AI in BE; the combination of computer-aided diagnosis to a widespread adoption of advanced imaging technologies is eagerly awaited. It will also provide a useful step-by-step approach for performing high-quality endoscopy in BE, in order to increase the diagnostic yield of endoscopy in clinical practice.
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Affiliation(s)
- Marco Spadaccini
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
| | - Edoardo Vespa
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
| | | | - Madhav Desai
- Department of Gastroenterology and Hepatology, Kansas City VA Medical Center, Kansas City, MO 66045, United States
| | - Harsh K Patel
- Department of Internal Medicine, Ochsner Clinic Foundation, New Orleans, LA 70124, United States
| | - Roberta Maselli
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
| | - Alessandro Fugazza
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
| | - Silvia Carrara
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
| | - Andrea Anderloni
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
| | - Gianluca Franchellucci
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
| | - Alessandro De Marco
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
| | - Cesare Hassan
- Endoscopy Unit, Nuovo Regina Margherita Hospital, Roma 00153, Italy
| | - Pradeep Bhandari
- Department of Gastroenterology, Portsmouth Hospitals University NHS Trust, Portsmouth PO6 3LY, United Kingdom
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth PO6 3LY, United Kingdom
| | - Prateek Sharma
- Department of Gastroenterology and Hepatology, Kansas City VA Medical Center, Kansas City, MO 66045, United States
| | - Alessandro Repici
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano 20089, Italy
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6
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Wang Y, Lu C. Identification of Barrett's neoplasia: Beyond Seattle protocol. ADVANCES IN DIGESTIVE MEDICINE 2022. [DOI: 10.1002/aid2.13320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Yen‐Po Wang
- Institute of Brain Science, Faculty of Medicine National Yang Ming Chiao Tung University School of Medicine Taipei Taiwan
- Endoscopy Center for Diagnosis and Treatment Taipei Veterans General Hospital Taipei Taiwan
| | - Ching‐Liang Lu
- Institute of Brain Science, Faculty of Medicine National Yang Ming Chiao Tung University School of Medicine Taipei Taiwan
- Endoscopy Center for Diagnosis and Treatment Taipei Veterans General Hospital Taipei Taiwan
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7
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Hamade N, Sharma P. 'Artificial intelligence in Barrett's Esophagus'. Ther Adv Gastrointest Endosc 2021; 14:26317745211049964. [PMID: 34671724 PMCID: PMC8521738 DOI: 10.1177/26317745211049964] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 09/07/2021] [Indexed: 12/26/2022] Open
Abstract
Despite advances in endoscopic imaging modalities, there are still significant miss rates of dysplasia and cancer in Barrett's esophagus. Artificial intelligence (AI) is a promising tool that may potentially be a useful adjunct to the endoscopist in detecting subtle dysplasia and cancer. Studies have shown AI systems have a sensitivity of more than 90% and specificity of more than 80% in detecting Barrett's related dysplasia and cancer. Beyond visual detection and diagnosis, AI may also prove to be useful in quality control, streamlining clinical work, documentation, and lessening the administrative load on physicians. Research in this area is advancing at a rapid rate, and as the field expands, regulations and guidelines will need to be put into place to better regulate the growth and use of AI. This review provides an overview of the present and future role of AI in Barrett's esophagus.
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Affiliation(s)
- Nour Hamade
- Department of Gastroenterology and Hepatology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Prateek Sharma
- Division of Gastroenterology and Hepatology, Veteran Affairs Medical Center, 4801 E. Linwood Boulevard, Kansas City, MO 6412, USA
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8
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Kim SH, Hong SJ. Current Status of Image-Enhanced Endoscopy for Early Identification of Esophageal Neoplasms. Clin Endosc 2021; 54:464-476. [PMID: 34304482 PMCID: PMC8357583 DOI: 10.5946/ce.2021.186] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/14/2021] [Indexed: 12/14/2022] Open
Abstract
Advanced esophageal cancer is known to have a poor prognosis. The early detection of esophageal neoplasms, including esophageal dysplasia and early esophageal cancer, is highly important for the accurate treatment of the disease. However, esophageal dysplasia and early esophageal cancer are usually subtle and can be easily missed. In addition to the early detection, proper pretreatment evaluation of the depth of invasion of esophageal cancer is very important for curative treatment. The progression of non-invasive diagnosis via image-enhanced endoscopy techniques has been shown to aid the early detection and estimate the depth of invasion of early esophageal cancer and, as a result, may provide additional opportunities for curative treatment. Here, we review the advancement of image-enhanced endoscopy-related technologies and their role in the early identification of esophageal neoplasms.
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Affiliation(s)
- Shin Hee Kim
- Digestive Disease Center and Research Institute, Department of Internal Medicine, Department of Biostatistics, Soonchunghyang University School of Medicine, Bucheon, Korea
| | - Su Jin Hong
- Digestive Disease Center and Research Institute, Department of Internal Medicine, Department of Biostatistics, Soonchunghyang University School of Medicine, Bucheon, Korea
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9
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Sehgal V, Ragunath K, Haidry R. Measuring Quality in Barrett's Esophagus: Time to Embrace Quality Indicators. Gastrointest Endosc Clin N Am 2021; 31:219-236. [PMID: 33213797 DOI: 10.1016/j.giec.2020.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Endoscopic eradication therapy is a safe and effective therapy that has revolutionized the management of patients with Barrett's esophagus (BE)-related neoplasia. Despite this, there remains significant heterogeneity in clinical practice with consequent variation in patient outcomes. The aim of this article was to align consensus statements based on the best available evidence and expert opinion from the United States and United Kingdom to develop robust and measurable quality indicators that help to ensure patients with BE-related neoplasia receive the highest possible quality of care uniformly.
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Affiliation(s)
- Vinay Sehgal
- Department of Gastroenterology and Endoscopy, University College London Hospitals NHS Foundation Trust, Ground Floor West, 250 Euston Road, London NW1 2PG, UK.
| | - Krish Ragunath
- Department of Gastroenterology, Curtin University Medical School, Royal Perth Hospital, Victoria Square, Perth, Western Australia 6000, Australia
| | - Rehan Haidry
- Department of Gastroenterology and Endoscopy, University College London Hospitals NHS Foundation Trust, Ground Floor West, 250 Euston Road, London NW1 2PG, UK
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10
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Hussein M, González-Bueno Puyal J, Mountney P, Lovat LB, Haidry R. Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey. World J Gastroenterol 2020; 26:5784-5796. [PMID: 33132634 PMCID: PMC7579761 DOI: 10.3748/wjg.v26.i38.5784] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/12/2020] [Accepted: 09/12/2020] [Indexed: 02/06/2023] Open
Abstract
The past decade has seen significant advances in endoscopic imaging and optical enhancements to aid early diagnosis. There is still a treatment gap due to the underdiagnosis of lesions of the oesophagus. Computer aided diagnosis may play an important role in the coming years in providing an adjunct to endoscopists in the early detection and diagnosis of early oesophageal cancers, therefore curative endoscopic therapy can be offered. Research in this area of artificial intelligence is expanding and the future looks promising. In this review article we will review current advances in artificial intelligence in the oesophagus and future directions for development.
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Affiliation(s)
- Mohamed Hussein
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Division of Surgery and Interventional Sciences, University College London, London W1W 7TY, United Kingdom
| | - Juana González-Bueno Puyal
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London W1W 7TY, United Kingdom and Odin Vision, London W1W 7TS, United Kingdom
| | | | - Laurence B Lovat
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Division of Surgery and Interventional Sciences, University College London, London W1W 7TY, United Kingdom
| | - Rehan Haidry
- Department of GI Services, University College London Hospital, London NW1 2BU, United Kingdom
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11
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Dekker E, Houwen BBSL, Puig I, Bustamante-Balén M, Coron E, Dobru DE, Kuvaev R, Neumann H, Johnson G, Pimentel-Nunes P, Sanders DS, Dinis-Ribeiro M, Arvanitakis M, Ponchon T, East JE, Bisschops R. Curriculum for optical diagnosis training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2020; 52:899-923. [PMID: 32882737 DOI: 10.1055/a-1231-5123] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This manuscript represents an official Position Statement of the European Society of Gastrointestinal Endoscopy (ESGE) aiming to guide general gastroenterologists to develop and maintain skills in optical diagnosis during endoscopy. In general, this requires additional training beyond the core curriculum currently provided in each country. In this context, ESGE have developed a European core curriculum for optical diagnosis practice across Europe for high quality optical diagnosis training. 1: ESGE suggests that every endoscopist should have achieved general competence in upper and/or lower gastrointestinal (UGI/LGI) endoscopy before commencing training in optical diagnosis of the UGI/LGI tract, meaning personal experience of at least 300 UGI and/or 300 LGI endoscopies and meeting the ESGE quality measures for UGI/LGI endoscopy. ESGE suggests that every endoscopist should be able and competent to perform UGI/LGI endoscopy with high definition white light combined with virtual and/or dye-based chromoendoscopy before commencing training in optical diagnosis. 2: ESGE suggests competency in optical diagnosis can be learned by attending a validated optical diagnosis training course based on a validated classification, and self-learning with a minimum number of lesions. If no validated training course is available, optical diagnosis can only be learned by attending a non-validated onsite training course and self-learning with a minimum number of lesions. 3: ESGE suggests endoscopists are competent in optical diagnosis after meeting the pre-adoption and learning criteria, and meeting competence thresholds by assessing a minimum number of lesions prospectively during real-time endoscopy. ESGE suggests ongoing in vivo practice by endoscopists to maintain competence in optical diagnosis. If a competent endoscopist does not perform in vivo optical diagnosis on a regular basis, ESGE suggests repeating the learning and competence phases to maintain competence.Key areas of interest were optical diagnosis training in Barrett's esophagus, esophageal squamous cell carcinoma, early gastric cancer, diminutive colorectal lesions, early colorectal cancer, and neoplasia in inflammatory bowel disease. Condition-specific recommendations are provided in the main document.
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Affiliation(s)
- Evelien Dekker
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centre, location Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Britt B S L Houwen
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centre, location Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Ignasi Puig
- Digestive Diseases Department, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain.,Department of Medicine, Facultat de Ciències de la Salut, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Manresa, Spain
| | - Marco Bustamante-Balén
- Gastrointestinal Endoscopy Unit, Digestive Diseases Department, La Fe Polytechnic University Hospital, Valencia, Spain.,Gastrointestinal Endoscopy Research Group, La Fe Health Research Institute, Valencia, Spain
| | - Emmanuel Coron
- Institut des Maladies de l'Appareil Digestif (IMAD), CHU Nantes, Université Nantes, Nantes, France
| | - Daniela E Dobru
- Gastroenterology Department, County Hospital Mures, Targu Mures, Romania
| | - Roman Kuvaev
- Endoscopy Department, Yaroslavl Regional Cancer Hospital, Yaroslavl, Russian Federation.,Department of Gastroenterology, Faculty of Additional Professional Education, Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Helmut Neumann
- Department of Medicine I, University Medical Center Mainz, Mainz, Germany
| | - Gavin Johnson
- Department of Gastroenterology, University College London Hospitals, London, UK
| | - Pedro Pimentel-Nunes
- Gastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.,Center for Research in Health Technologies and Information Systems (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal.,Surgery and Physiology Department, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - David S Sanders
- Academic Unit of Gastroenterology, Royal Hallamshire Hospital, Sheffield, UK
| | - Mario Dinis-Ribeiro
- Gastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.,Center for Research in Health Technologies and Information Systems (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal
| | - Marianna Arvanitakis
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, Erasme University Hospital, Brussels, Belgium
| | - Thierry Ponchon
- Gastroenterology Division, Hôpital Edouard Herriot, Lyon, France
| | - James E East
- Translational Gastroenterology Unit, Nuffield Department of Medicine, Experimental Medicine Division, John Radcliffe Hospital, University of Oxford, Oxford, UK.,Oxford National Institute for Health Research Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Raf Bisschops
- Department of Gastroenterology and Hepatology, Catholic University of Leuven (KUL), TARGID, University Hospital Leuven, Leuven, Belgium
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