1
|
Rajivan R, Thayalasekaran S. Improving polyp detection at colonoscopy: Non-technological techniques. World J Gastrointest Endosc 2023; 15:354-367. [PMID: 37274557 PMCID: PMC10236979 DOI: 10.4253/wjge.v15.i5.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/03/2023] [Accepted: 04/12/2023] [Indexed: 05/16/2023] Open
Abstract
Colonoscopy and polypectomy remain the gold standard investigation for the detection and prevention of colorectal cancer. Halting the progression of colonic adenoma through adequate detection of pre-cancerous lesions interrupts the progression to carcinoma. The adenoma detection rate is a key performance indicator. Increasing adenoma detection rates are associated with reducing rates of interval colorectal cancer. Endoscopists with high baseline adenoma detection rate have a meticulous technique during colonoscopy withdrawal that improves their adenoma detection. This minireview article summarizes the evidence on the following simple operator techniques and their effects on the adenoma detection rate; minimum withdrawal times, dynamic patient position change and proximal colon retroflexion.
Collapse
Affiliation(s)
- Ragul Rajivan
- Buckingham Medical School, Milton Keynes MK18 1EG, United Kingdom
| | - Sreedhari Thayalasekaran
- Department of Gastroenterology, University Hospitals of Leicester, Leicester LE1 5WW, United Kingdom
| |
Collapse
|
2
|
Ren Y, Zhao M, Zhou D, Xing Q, Gong F, Tang W. Cost-effectiveness analysis of colonoscopy and fecal immunochemical testing for colorectal cancer screening in China. Front Public Health 2022; 10:952378. [PMID: 36033786 PMCID: PMC9412186 DOI: 10.3389/fpubh.2022.952378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/22/2022] [Indexed: 01/24/2023] Open
Abstract
Objective This study aimed to evaluate the cost-effectiveness of the colorectal cancer screening in China, and that when the screening was implemented in a specific region. Methods A 13-state Markov model was established to compare four screening protocols, including annual fecal immunochemical testing (FIT1), biennial fecal immunochemical testing (FIT2), electronic colonoscopy every 10 years (e-CSPY10), and electronic colonoscopy every 5 years (e-CSPY5), with no screening from the perspective of Chinese healthcare system. The model simulated the health states of a cohort of 100,000 average-risk individuals aging from 50 to 75. Additionally, scenarios including the implementation in a specific region, starting from 40, and incompletely successful treatment of cancer were also analyzed. Results Annual and biennial FIT could save 8.13USD (US Dollar) and 44.96USD per person, and increase 0.0705QALYs (Quality-Adjusted Life Years) and 0.2341 QALYs compared with no screening, respectively. Annual FIT could decrease costs by 36.81USD per person and increase 0.1637 QALYs in comparison to biennial FIT. The results showed that both annual and biennial FIT for screening were dominant over no screening, and annual FIT was dominant over biennial FIT. The ICER (Incremental Cost-Effectiveness Ratio) for e-CSPY10 were 1183.51USD/QALY and 536.66USD/QALY compared with FIT1 and FIT2. The ICER for e-CSPY5 were 1158.16USD/QALY and 770.85USD/QALY compared with FIT1 and FIT2. And the ICER for e-CSPY5 relative to e-CSPY10 was 358.71USD/QALY. All the ICER values were lower than the economic threshold of 2021 Chinese GDP (Gross Domestic Product) per capita in 2021(12554.42USD). Conclusions It is worthwhile to popularize CRC screening in mainland China, as FIT always saving costs and colonoscopy is cost-effective. Regions with high income can take electronic colonoscopy every 10 years, or even every 5 years into consideration when determining the specific strategies.
Collapse
Affiliation(s)
- Yinan Ren
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, China
| | - Mingye Zhao
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, China
| | - Dachuang Zhou
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, China
| | - Qian Xing
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, China
| | - Fangfang Gong
- Department of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China
| | - Wenxi Tang
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, China
| |
Collapse
|
3
|
Chang A, Munjit P, Sriprayoon T, Pongpaibul A, Prachayakul V. Comparison of blue laser imaging and narrow band imaging for the differentiation of diminutive colorectal polyps: A randomized controlled trial. Surg Endosc 2022; 36:5743-5752. [PMID: 35182217 DOI: 10.1007/s00464-022-09079-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 01/25/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND To compare the diagnostic efficacy of blue laser imaging (BLI)- bright and narrow band imaging (NBI) modes of image enhanced endoscopy (IEE) in differentiating neoplastic and non-neoplastic lesions of diminutive colorectal polyps. METHODS We conducted a prospective randomized controlled trial from September 2015 to July 2016. The participants were randomly assigned (1:1) for colonoscopy with polyp classification under NBI or BLI-bright mode without magnification. Histopathologic diagnosis was used as the gold standard. RESULTS Three hundred and twenty-four diminutive polyps in 164 patients were included for analysis (BLI: 162 polyps in 73 patients, NBI: 162 polyps in 91 patients). These polyps were located at colon proximal to sigmoid (61.1 and 58.0%) and rectosigmoid colon (38.9 and 42.0%) in the BLI and NBI groups, respectively. Most polyps (71.9%) were adenomatous with one malignant polyp (0.3%). BLI achieved 86.4% accuracy, 98.3% sensitivity, 55.6% specificity, 85.2% positive predictive value (PPV), and 92.6% negative predictive value (NPV), similar to NBI which exhibited 90.1% accuracy, 99.1% sensitivity, 67.4% specificity, 88.5% PPV, and 96.9% NPV in the diagnosis of adenomatous polyps. Based on the location of the polyp, both modes of IEE provided ≥ 95% NPV for diagnosis of adenomatous polyps at the rectosigmoid colon. CONCLUSIONS BLI-bright and NBI modes of IEE have similar accuracy in differentiation between neoplastic and non-neoplastic lesions of diminutive polyps. Both modes provided ≥ 90% NPV which allows for the adaptation of the American Society of Gastrointestinal Endoscopy "diagnose-and-leave" recommended strategy for diminutive polyps at the rectosigmoid colon.
Collapse
Affiliation(s)
- Arunchai Chang
- Division of Gastroenterology, Department of Medicine, Hatyai Hospital, Songkhla, Thailand
| | - Parnwad Munjit
- Siriraj Gastrointestinal Endoscopy Center, Division of Gastroenterology, Department of Internal Medicine, Siriraj Hospital, Faculty of Medicine, Mahidol University, Bangkok, Thailand
| | - Tassanee Sriprayoon
- Siriraj Gastrointestinal Endoscopy Center, Division of Gastroenterology, Department of Internal Medicine, Siriraj Hospital, Faculty of Medicine, Mahidol University, Bangkok, Thailand
| | - Ananya Pongpaibul
- Department of Pathology, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Varayu Prachayakul
- Siriraj Gastrointestinal Endoscopy Center, Division of Gastroenterology, Department of Internal Medicine, Siriraj Hospital, Faculty of Medicine, Mahidol University, Bangkok, Thailand.
| |
Collapse
|
4
|
Waterhouse DJ, Fitzpatrick CRM, Pogue BW, O'Connor JPB, Bohndiek SE. A roadmap for the clinical implementation of optical-imaging biomarkers. Nat Biomed Eng 2019; 3:339-353. [PMID: 31036890 DOI: 10.1038/s41551-019-0392-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 03/17/2019] [Indexed: 02/07/2023]
Abstract
Clinical workflows for the non-invasive detection and characterization of disease states could benefit from optical-imaging biomarkers. In this Perspective, we discuss opportunities and challenges towards the clinical implementation of optical-imaging biomarkers for the early detection of cancer by analysing two case studies: the assessment of skin lesions in primary care, and the surveillance of patients with Barrett's oesophagus in specialist care. We stress the importance of technical and biological validations and clinical-utility assessments, and the need to address implementation bottlenecks. In addition, we define a translational roadmap for the widespread clinical implementation of optical-imaging technologies.
Collapse
Affiliation(s)
- Dale J Waterhouse
- Department of Physics, University of Cambridge, Cambridge, UK
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Catherine R M Fitzpatrick
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Engineering, University of Cambridge, Cambridge, UK
| | | | | | - Sarah E Bohndiek
- Department of Physics, University of Cambridge, Cambridge, UK.
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK.
| |
Collapse
|
5
|
Wimmer G, Gadermayr M, Wolkersdörfer G, Kwitt R, Tamaki T, Tischendorf J, Häfner M, Yoshida S, Tanaka S, Merhof D, Uhl A. Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging. World J Gastroenterol 2019; 25:1197-1209. [PMID: 30886503 PMCID: PMC6421240 DOI: 10.3748/wjg.v25.i10.1197] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 02/13/2019] [Accepted: 02/15/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND It was shown in previous studies that high definition endoscopy, high magnification endoscopy and image enhancement technologies, such as chromoendoscopy and digital chromoendoscopy [narrow-band imaging (NBI), i-Scan] facilitate the detection and classification of colonic polyps during endoscopic sessions. However, there are no comprehensive studies so far that analyze which endoscopic imaging modalities facilitate the automated classification of colonic polyps. In this work, we investigate the impact of endoscopic imaging modalities on the results of computer-assisted diagnosis systems for colonic polyp staging. AIM To assess which endoscopic imaging modalities are best suited for the computer-assisted staging of colonic polyps. METHODS In our experiments, we apply twelve state-of-the-art feature extraction methods for the classification of colonic polyps to five endoscopic image databases of colonic lesions. For this purpose, we employ a specifically designed experimental setup to avoid biases in the outcomes caused by differing numbers of images per image database. The image databases were obtained using different imaging modalities. Two databases were obtained by high-definition endoscopy in combination with i-Scan technology (one with chromoendoscopy and one without chromoendoscopy). Three databases were obtained by high-magnification endoscopy (two databases using narrow band imaging and one using chromoendoscopy). The lesions are categorized into non-neoplastic and neoplastic according to the histological diagnosis. RESULTS Generally, it is feature-dependent which imaging modalities achieve high results and which do not. For the high-definition image databases, we achieved overall classification rates of up to 79.2% with chromoendoscopy and 88.9% without chromoendoscopy. In the case of the database obtained by high-magnification chromoendoscopy, the classification rates were up to 81.4%. For the combination of high-magnification endoscopy with NBI, results of up to 97.4% for one database and up to 84% for the other were achieved. Non-neoplastic lesions were classified more accurately in general than non-neoplastic lesions. It was shown that the image recording conditions highly affect the performance of automated diagnosis systems and partly contribute to a stronger effect on the staging results than the used imaging modality. CONCLUSION Chromoendoscopy has a negative impact on the results of the methods. NBI is better suited than chromoendoscopy. High-definition and high-magnification endoscopy are equally suited.
Collapse
Affiliation(s)
- Georg Wimmer
- Department of Computer Sciences, University of Salzburg, Salzburg 5020, Austria
| | - Michael Gadermayr
- Interdisciplinary Imaging and Vision Institute Aachen, RWTH Aachen, Aachen 52074, Germany
| | - Gernot Wolkersdörfer
- Department of Internal Medicine I, Paracelsus Medical University/Salzburger Landeskliniken (SALK), Salzburg 5020, Austria
| | - Roland Kwitt
- Department of Computer Sciences, University of Salzburg, Salzburg 5020, Austria
| | - Toru Tamaki
- Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Hiroshima 7398527, Japan
| | - Jens Tischendorf
- Internal Medicine and Gastroenterology, University Hospital Aachen, Würselen 52146, Germany
| | - Michael Häfner
- Department of Gastroenterologie and Hepatologie, Krankenhaus St. Elisabeth, Wien 1080, Austria
| | - Shigeto Yoshida
- Department of Endoscopy and Medicine, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima 7348551, Japan
| | - Shinji Tanaka
- Department of Endoscopy, Hiroshima University Hospital, Hiroshima 7348551, Japan
| | - Dorit Merhof
- Interdisciplinary Imaging and Vision Institute Aachen, RWTH Aachen, Aachen 52074, Germany
| | - Andreas Uhl
- Department of Computer Sciences, University of Salzburg, Salzburg 5020, Austria
| |
Collapse
|