{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T23:47:49Z","timestamp":1740181669253,"version":"3.37.3"},"reference-count":28,"publisher":"IOP Publishing","issue":"3","license":[{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"vor","delay-in-days":58,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"tdm","delay-in-days":58,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000289","name":"Cancer Research UK","doi-asserted-by":"crossref","award":["27744"],"award-info":[{"award-number":["27744"]}],"id":[{"id":"10.13039\/501100000289","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["R01EB018992"],"award-info":[{"award-number":["R01EB018992"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Prog. Biomed. Eng."],"published-print":{"date-parts":[[2024,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>An understanding of the biological environment, and in particular the physical morphology, is crucial for those developing medical devices and software applications. It not only informs appropriate design inputs, but provides the opportunity to evaluate outputs via virtual or synthetic models before investing in costly clinical investigations. The large bowel is a pertinent example, having a major demand for effective technological solutions to clinical unmet needs. Despite numerous efforts in this area, there remains a paucity of accurate and reliable data in literature. This work reviews what is available, including both processed datasets and raw medical images, before providing a comprehensive quantitative description of the environment for biomedical engineers in this and related regions of the body. Computed tomography images from 75 patients, and a blend of different mathematical and computational methods, are used to calculate and define several crucial metrics, including: a typical adult size (abdominal girth) and abdominal shape, location (or depth) of the bowel inside the abdomen, large bowel length, lumen diameter, flexure number and characteristics, volume and anatomical tortuosity. These metrics are reviewed and defined by both gender and body posture, as well as\u2014wherever possible\u2014being spilt into the various anatomical regions of the large bowel. The resulting data can be used to describe a realistic \u2018average\u2019 adult large bowel environment and so drive both design specifications and high fidelity test environments.<\/jats:p>","DOI":"10.1088\/2516-1091\/ad6dbf","type":"journal-article","created":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T22:58:05Z","timestamp":1723244285000},"page":"032003","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The adult large bowel: describing environment morphology for effective biomedical device development"],"prefix":"10.1088","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9981-5936","authenticated-orcid":true,"given":"Joseph C","family":"Norton","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4450-8127","authenticated-orcid":true,"given":"James W","family":"Martin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Conchubhair","family":"Winters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Scaglioni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8654-7290","authenticated-orcid":true,"given":"Keith L","family":"Obstein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Venkataraman","family":"Subramanian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2280-5438","authenticated-orcid":true,"given":"Pietro","family":"Valdastri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"prgbad6dbfbib1","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1053\/j.gastro.2021.10.017","article-title":"Burden and cost of gastrointestinal, liver, and pancreatic diseases in the United States: update 2021","volume":"162","author":"Peery","year":"2022","journal-title":"Gastroenterology"},{"key":"prgbad6dbfbib2","doi-asserted-by":"publisher","first-page":"48","DOI":"10.5217\/ir.2018.16.1.48","article-title":"Quality is the key for emerging issues of population-based colonoscopy screening","volume":"16","author":"Yoon","year":"2018","journal-title":"Intest. Res."},{"key":"prgbad6dbfbib3","doi-asserted-by":"publisher","first-page":"1648","DOI":"10.3390\/jcm9061648","article-title":"Frontiers of robotic colonoscopy: a comprehensive review of robotic colonoscopes and technologies","volume":"9","author":"Ciuti","year":"2020","journal-title":"J. Clin. Med."},{"key":"prgbad6dbfbib4","doi-asserted-by":"publisher","first-page":"1957","DOI":"10.1109\/TBME.2020.3043388","article-title":"Enabling autonomous colonoscopy intervention using a robotic endoscope platform","volume":"68","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"prgbad6dbfbib5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-47320-3","article-title":"A soft pneumatic inchworm double balloon (SPID) for colonoscopy","volume":"9","author":"Manfredi","year":"2019","journal-title":"Sci. Rep."},{"key":"prgbad6dbfbib6","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1038\/s42256-020-00231-9","article-title":"Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation","volume":"2","author":"Martin","year":"2020","journal-title":"Nat. Mach. Intell."},{"key":"prgbad6dbfbib7","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.gie.2020.06.059","article-title":"Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis","volume":"93","author":"Hassan","year":"2021","journal-title":"Gastrointest. Endosc."},{"key":"prgbad6dbfbib8","doi-asserted-by":"publisher","first-page":"5606","DOI":"10.3748\/wjg.v26.i37.5606","article-title":"Artificial intelligence technologies for the detection of colorectal lesions: the future is now","volume":"26","author":"Attardo","year":"2020","journal-title":"World J. Gastroenterol."},{"key":"prgbad6dbfbib9","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2023.1212525","article-title":"Self-supervised monocular depth estimation for high field of view colonoscopy cameras","volume":"10","author":"Mathew","year":"2023","journal-title":"Front. Robot. AI"},{"key":"prgbad6dbfbib10","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02564-7)","article-title":"EndoMapper dataset of complete calibrated endoscopy procedures","author":"Azagra","year":"2022"},{"key":"prgbad6dbfbib11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102100","article-title":"RNNSLAM: reconstructing the 3D colon to visualize missing regions during a colonoscopy","volume":"72","author":"Ma","year":"2021","journal-title":"Med. Image Anal."},{"key":"prgbad6dbfbib12","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1515\/cdbme-2021-2085","article-title":"Partial 3D-reconstruction of the colon from monoscopic colonoscopy videos using shape-from-motion and deep learning","volume":"7","author":"Walluscheck","year":"2021","journal-title":"Curr. Dir. Biomed. Eng."},{"key":"prgbad6dbfbib13","doi-asserted-by":"publisher","first-page":"36945","DOI":"10.1109\/ACCESS.2023.3266087","article-title":"Physical simulator for colonoscopy: a modular design approach and validation","volume":"11","author":"Finocchiaro","year":"2023","journal-title":"IEEE Access"},{"key":"prgbad6dbfbib14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102058","article-title":"EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos","volume":"71","author":"Ozyoruk","year":"2021","journal-title":"Med. Image Anal."},{"key":"prgbad6dbfbib15","doi-asserted-by":"publisher","DOI":"10.1088\/2516-1091\/abab4c","article-title":"Fundamentals of the gut for capsule engineers","volume":"2","author":"Barducci","year":"2020","journal-title":"Prog. Biomed. Eng."},{"key":"prgbad6dbfbib16","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.medengphy.2015.11.018","article-title":"Quantitative assessment of colorectal morphology: implications for robotic colonoscopy","volume":"38","author":"Alazmani","year":"2016","journal-title":"Med. Eng. Phys."},{"key":"prgbad6dbfbib17","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1055\/s-0029-1214899","article-title":"Colorectal anatomy in adults at computed tomography colonography: normal distribution and the effect of age, sex, and body mass index","volume":"41","author":"Khashab","year":"2009","journal-title":"Endoscopy"},{"key":"prgbad6dbfbib18","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1080\/01691864.2018.1451776","article-title":"The role of computed tomography data in the design of a robotic magnetically-guided endoscopic platform","volume":"32","author":"Zhang","year":"2018","journal-title":"Adv. Robot."},{"key":"prgbad6dbfbib19","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.jss.2012.03.054","article-title":"Three-dimensional determination of variability in colon anatomy: applications for numerical modeling of the intestine","volume":"178","author":"Bourgouin","year":"2012","journal-title":"J. Surg. Res."},{"key":"prgbad6dbfbib20","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1259\/bjr\/91937173","article-title":"Quantitative assessment of colonic movement between prone and supine patient positions during CT colonography","volume":"82","author":"Punwani","year":"2009","journal-title":"Brit. J. Radiol."},{"key":"prgbad6dbfbib21","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1111\/nmo.12243","article-title":"Fasting and postprandial volumes of the undisturbed colon: normal values and changes in diarrhea-predominant irritable bowel syndrome measured using serial MRI","volume":"26","author":"Pritchard","year":"2014","journal-title":"Neurogastroenterol. Motil."},{"key":"prgbad6dbfbib22","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/s11604-021-01204-7","article-title":"Bowel habits and gender correlate with colon length measured by CT colonography","volume":"40","author":"Utano","year":"2022","journal-title":"Jpn. J. Radiol."},{"author":"Laframboise","doi-asserted-by":"crossref","article-title":"Analyzing the curvature of the colon in different patient positions","key":"prgbad6dbfbib23","DOI":"10.1117\/12.2512455"},{"key":"prgbad6dbfbib24","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/s00261-015-0578-6","article-title":"Impact of hysterectomy on three-dimensional rectosigmoid morphology and endoscopy performance: a pilot study","volume":"41","author":"Weber","year":"2016","journal-title":"Abdom. Radiol."},{"key":"prgbad6dbfbib25","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.dld.2009.04.022","article-title":"Colon anatomy based on CT colonography and fluoroscopy: impact on looping, straightening and ancillary manoeuvres in colonoscopy","volume":"42","author":"Eickhoff","year":"2010","journal-title":"Dig. Liver Dis."},{"key":"prgbad6dbfbib26","doi-asserted-by":"publisher","first-page":"774","DOI":"10.2214\/AJR.07.2048","article-title":"Anatomic factors predictive of incomplete colonoscopy based on findings at CT colonography","volume":"189","author":"Hanson","year":"2007","journal-title":"Am. J. Roentgenol."},{"key":"prgbad6dbfbib27","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1007\/s10278-013-9622-7","article-title":"The cancer imaging archive (TCIA): maintaining and operating a public information repository","volume":"26","author":"Clark","year":"2013","journal-title":"J. Digit. Imaging"},{"key":"prgbad6dbfbib28","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D slicer as an image computing platform for the quantitative imaging network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn. Reson. Imaging"}],"container-title":["Progress in Biomedical Engineering"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T11:45:54Z","timestamp":1724845554000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/2516-1091\/ad6dbf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,1]]},"references-count":28,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,8,28]]},"published-print":{"date-parts":[[2024,7,1]]}},"URL":"https:\/\/doi.org\/10.1088\/2516-1091\/ad6dbf","relation":{},"ISSN":["2516-1091"],"issn-type":[{"type":"electronic","value":"2516-1091"}],"subject":[],"published":{"date-parts":[[2024,7,1]]},"assertion":[{"value":"The adult large bowel: describing environment morphology for effective biomedical device development","name":"article_title","label":"Article Title"},{"value":"Progress in Biomedical Engineering","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2024 The Author(s). Published by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2024-01-29","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-08-09","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-08-28","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}