Educational anatomical study for transanal total mesorectal excision in cadaveric surgical training

Educational anatomical study for transanal total mesorectal excision in cadaveric surgical training | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Educational anatomical study for transanal total mesorectal excision in cadaveric surgical training Tetsuo Ishizaki, Kenta Kasahara, Junichi Mazaki, Ryutaro Udo, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4190566/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background This study reported on cadaveric surgical training (CST) focusing on the anatomical knowledge necessary for transanal total mesorectal excision (TaTME) and educational perspective on our experiences. Methods Anatomical findings were collected from three cadaveric surgical training were conducted with 6 male cadavers from 2018 to 2020. All steps of the TaTME process were timed. Specimens were transanally or transabdominally extracted. The trainer rated the total mesorectal excision (TME) quality as complete, near complete, or incomplete. Results The number of trainees were 6 surgeons. Their number of years since graduation was 9 (6–19), their experience with conventional TME on live patients was 46 cases (27–202), and their experience with TaTME on live patients was 0 case (0–4). Their set up of the transanal platform was 14 min (7–21), time to resect the anococcygeal ligament was 17 min (6–29), time to resect the retrourethral muscle was 23 min (9–41), time to spare fourth pelvic splanchnic nerves was 11 min (4–28), and total completion of the TaTME was 84 min (59–122). The grade of TME was incomplete in 1 case (11.1%), nearly complete in 1 case (11.1%), and complete in 7 cases (77.8%). Conclusion In this study, the anatomical structures necessary for TaTME was identified. We believe that CST for TaTME is a promising educational method for overcoming and performing the characteristic anatomical challenges safely. Low rectal cancer transanal total mesorectal excision cadaveric surgical training Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Surgical outcomes for rectal cancer have improved since total mesorectal excision (TME) [1] was proposed as the standard surgical procedure. Subsequently, the introduction of laparoscopic surgery for rectal cancer [2,3] has brought about an innovative evolution. However, there remained challenges. In cases of low rectal cancer, which require precise surgical skills in the narrow space of the deep pelvis, it may be difficult to perform conventional TME via the anterior approach through the abdomen, even in laparoscopic procedures. One possible solution, transanal TME (TaTME), was first described in a clinical report in 2010 [4] and is gaining popularity as an advanced surgery for low rectal cancer. The purpose of TaTME is to achieve complete TME and improve treatment outcomes by securing the circumferential resection margin (CRM) via a transanal approach for patients who are obese or have a narrow pelvis that makes conventional TME difficult [5]. In addition, it has advantages over conventional TME, including maintaining the distal margin and reducing operation time [6]. The downside of TaTME is that, unlike TME, it is performed from the opposite direction of the standard anterior approach, bottom to up. It thus becomes difficult to recognize anatomy, and laparoscopic surgeons can be led astray. Therefore, the laparoscopic surgeon who performs TaTME must have advanced surgical skills and knowledge of deep pelvic anatomy specific to TaTME to avoid urethral injury and accurately accomplish TaTME [7]. To safely introduce the TaTME procedure in clinical practice, we consider it important to establish an educational process that combines training models and hands-on training that are useful for laparoscopic surgeons [8]. In the dry lab, a simulator can be used to learn how to manipulate forceps in a limited pelvic space, as would be present in TaTME. There are also no ethical hurdles to overcome, and box training can be completed at the student’s pace and even in their home. However, there is a certain lack of realism because there is no actual separation or dissection of tissue [9]. In an animal model, tissues can be separated and dissected using surgical forceps and devices used in the operating room. Since faulty surgical skills and dissection layer selection can cause bleeding, the reproduction here of an environment close to actual surgical conditions contributes to improving surgical technique [10]. However, the fascia and nerve tissue structures differ from actual human pelvic anatomy. Cadaveric surgical training (CST) uses accurate pelvic anatomy to identify structures such as the proper rectal fascia and neuro-vascular bundle, which are indicators in real-life clinical practice. It is the best surgical training model because it allows surgical operations to be performed on the same dissection layer as in actual surgery [10]. It also shortens the learning curve for TaTME and is the best training model [7,11]. As Asian people often have a relatively low body mass index, many cases of low rectal cancer can be treated with conventional TME via the anterior approach. Therefore, since ultra-low rectal cancer is often an indicator for TaTME, rather than having the distal rectum transection be at the level of the dentate line as it often is in the West [7], it is often shifted towards the anus to be a distal rectum transection at the level of the inter-sphincteric groove. Consequently, the anatomical structures the laparoscopic surgeon should consider are slightly different. Although there have been previous reports on the usefulness of CST for TaTME [7,12], there are no reports on CST focusing on the dissection required for TaTME from an educational perspective. In this paper, we will report on our experiences with CST at Tokyo Medical University Hospital from the perspective of a laparoscopic surgeon, with an emphasis on the anatomical knowledge necessary for TaTME. Materials And Methods Setting This study was approved by the Tokyo Medical University Ethics Committee (approval no. 3839). All cadavers were supplied by Toju-kai (Tokyo Medical University Body Donation Society). We provided explanations to and obtained written consent from the living patients and families enrolled in Toju-kai. Between 2018 and 2020, three CSTs were conducted with 6 male cadavers. All cadavers were embalmed with saturated salt solution technology [13]. A trainer with experience in over 30 cases of TaTME was invited from an external organization. The trainees were required to have extensive experience with in vivo conventional TME and be certified via the Endoscopic Surgical Skill Qualification System [14]. Before CST, the trainer gave a presentation in the lecture room on pelvic dissection and TaTME techniques. Next, they moved to the training room to practice CST. The GelPOINT Path transanal access platform (Applied Medical, Rancho Santa Margarita, CA, USA) was used for access via the anus (Fig. 1). TaTME Surgical Process Procedural steps were timed and video-recorded during the operation and included. 1. TaTEM platform insertion and Purse-string occlusion of the rectum. 2. Distal rectum transection at the level of the inter-sphincteric groove line. 3. Resection of the anococcygeal ligament at the dorsal side of the rectum (Fig. 2). 4. Resection of the rectourethral muscle at the ventral side of the rectum (Fig. 3). 5. Fourth pelvic splanchnic nerves were spared (Fig. 4). 6. TaTME was completed. All steps of the process were timed. Specimens were transanally or transabdominally extracted. The trainer rated the TME quality [15] as complete, near complete, or incomplete. Results All results are expressed as median values and range. The number of trainees were 6 surgeons. Their number of years since graduation was 9 (6–19), their experience with conventional TME on live patients was 46 cases (27–202), and their experience with TaTME on live patients was 0 cases (0–4) (Table 1). Their set up of the transanal platform was 14 min (7–21), time to resect the anococcygeal ligament was 17 min (6–29), time to resect the retrourethral muscle was 23 min (9–41), time to spare fourth pelvic splanchnic nerves was 11 min (4–28), and total completion of the TaTME was 84 min (59–122). The grade of TME was incomplete in 1 case (16.7%), nearly complete in 1 case (16.7%), and complete in 4 cases (66.6%) (Table 2). Discussion In this study, we identified the anatomical structures necessary for TaTME. Laparoscopic surgeons with a certain level of clinical experience and surgical skill but little experience in TaTME became trainees. They received guidance in their training from an experienced trainer and achieved high TME quality. This could be attributed to the accuracy of the educational trainer’s lecture on anatomy before CST and the fact that each trainee performed TaTME with an understanding of the necessary landmark anatomical structures. Here, we will discuss the necessary anatomical landmarks used to perform TaTME safely. Anococcygeal ligament : the anococcygeal ligament, composed of abundant elastic fibers and smooth muscles, is an indicator during dissection on the dorsal side of the rectum. One vital step to ensuring a smooth surgical procedure is, after peeling off the tissue at the dorsal side of the rectum at 5 and 7 o’clock, where the tissue is relatively thin, identifying the anococcygeal ligament at 6 o’clock. The anococcygeal ligament is divided into two layers based on the arrangement of adhesion [16]. The ventral layer is found from the presacral fascia to the conjoint longitudinal layer of the anal canal. The dorsal layer is found extending between the coccyx and external anal sphincter. During TaTME, the anococcygeal ligament is dissected starting from the anus so that the avascular plane with loose connective tissue that exists between the mesorectal fascia and the parietal pelvic fascia, also called the “holy plane” [17], can be recognized. Accurately recognizing this dissection layer is the first critical step in completing TaTME. In CST, one should recognize these anatomical structures, be aware of “where am I making a dissection right now,” and avoid actions that undermine the curability of the disease, such as cutting in through the tumor. Rectourethral muscle: the rectourethral muscle is the most important indicator on the ventral side of the rectum. The ventral side of the rectum is not easily visible when using the conventional anterior approach, but TaTME allows for reproducible surgery with a good field of view. A solid understanding of the anatomy of the ventral side of the rectum results in TaTME becoming the most advantageous approach. According to Kitaguchi et al. [18], when the longitudinal muscle is separated at 1 and 11 o’clock, a sparse, so-called “sweet space” posterior to the prostate can be easily reached. This space can be safely reached in TaTME and should be identified first on the ventral side of the rectum. When this space is dissected, thick, smooth muscle tissue connecting the rectal wall and urethra can be recognized at 0 o’clock. This is the rectourethral muscle. The rectourethral muscle has a thickness of approximately 5–10 mm, and the laparoscopic surgeon needs to determine the appropriate line of dissection to ensure the CRM in cases of anterior side located advanced rectal cancer. The space between the prostate and the rectal wall can be recognized by dissecting the rectourethral muscle. In nearly half of the cases, the cavernous nerve involved in erections runs through it, which may also be related to erectile dysfunction. The greatest advantage of CST is the ability to experience the actual surgical dissection used in TaTME before implementing it in clinical practice. Fourth pelvic splanchnic nerves and neuro-vascular bundle: the landmarks of lateral dissection are the fourth pelvic splanchnic nerves and neuro-vascular bundle. The fourth pelvic splanchnic nerves run in a ventral direction from near the pisiform muscle’s anterior border. It is located a few centimeters toward the cranial side from the upper border of the anal canal, and care should be taken to avoid damaging it. If dissection is performed lateral to the fourth pelvic splanchnic nerves, care should be taken to avoid bleeding from the internal iliac vein. The fourth pelvic splanchnic nerves travel to the neuro-vascular bundle via the pelvic nerve plexus. This is an anatomical structure that is recognizable in CST. Preserving these ensures the preservation of postoperative sexual and urinary functions [19]. With the line of dissection set inside the fourth pelvic splanchnic nerves and neuro-vascular bundle, nerve-guided surgery retains the correct separation layer in TaTME and improves TME quality. In 2017, the TaTME registry collaborative [20] reported the results of 720 cases with an R0 rate of 97.3% and a histological CRM positive rate of 2.4%, indicating very good oncological short-term outcomes. However, the dissection layer was misidentified in 7.8% of cases, and urethral injury was observed in 0.7%, and the issue that TaTME requires a different anatomical awareness than conventional TME remains. McLemore et al. [21] indicate six key elements that should be highlighted as pathways for introducing TaTME training. (1) Expertise in TME for rectal cancer; (2) expertise in minimally invasive (laparoscopic and/or robotic) TME from the abdominal approach; (3) expertise in transanal endoscopic surgery; (4) experience in inter-sphincteric dissection for very low rectal invasive neoplasms; (5) practice in TaTME techniques in human cadaver models; and (6) IRB approved data collection with publication of outcomes and/or participation in a clinical registry. This study contributes to success in pathways (3) and (5) by revealing the landmark anatomical structure of TaTME through CST, which will lead to the safe implementation of TaTME and improvements in TME quality comparing to previously report [7]. In Japan, costs and ethical considerations make it difficult to perform CST, and it is difficult to meet the needs of a wide range of surgeons who want to become proficient in TaTME quickly. Against this backdrop, we verified the detailed surgical anatomy required for TaTME using the previous CST we did have. Although it is still in its infancy and needs time to be formalized, we believe that CST for TaTME is a promising educational method for overcoming and performing the characteristic anatomical challenges safely. This descriptive study had several limitations. There are a small number of registered cadavers and trainees. The trainees’ skills and experience levels with conventional TME are not consistent. We have not been able to evaluate the clinical impact of this CST. Furthermore, its usefulness for conventional TME is also unclear. Two randomized controlled trials, COLOR III [22] and GRECCAR [23], comparing TaTME and conventional TME, are currently underway, the results of which are eagerly awaited. Conclusion TaTME is an innovative and realizable surgical procedure. However, educational CST with a trainer and trainee is important because of the complex anatomical knowledge required. Through CST, we identified the anatomical landmarks necessary to perform TaTME safely. Declarations The Authors have no conflicts of interest to declare regarding this study. Authors’ Contributions Study conception and design: T.I., K.K.; Data acquisition: T.I., Y.H., K.I., J.M.; Data interpretation: T.I., R.U., T.T.; Drafting the manuscript: T.I.; Supervision of the manuscript: Y.N.. All authors reviewed the manuscript. Funding This study has not received specific funding from any funding agency, public, for-profit or non-profit. Acknowledgments This project was made possible by the continuous work of the steering groups of the Department of Anatomy, Tokyo Medical University and the Toju-kai (Tokyo Medical University Body Donation Society). A special thanks to Editage (https://www.editage.jp) for English language editing. References Heald RJ, Husband EM, Ryall RD (1982) The mesorectum in rectal cancer surgery–the clue to pelvic recurrence? 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4190566","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":285562760,"identity":"cdf89063-1c45-4cd5-9313-54f801fd7259","order_by":0,"name":"Tetsuo Ishizaki","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3ElEQVRIiWNgGAWjYDACCQaGwz8MJHj4GRjYYGIJhLQwHmaosJGTbCBBC/NhhjNpxgYHEFrwA4PbzQ8OF7YdTtx8I/nZgw8VDPJAFz57gFfLnWMGh2cCtWy7kWZuOOMMg+HMBoZ0A3xazG7kMBzgBWtJMJPmbWNIALowTYIoLZtnpH8jXsthHpD3JXKItMUe6JeDM4CBLHHmTZnkjDMShjObCfhFcnbz4w8fQFHZnr5N4kOFjTw/e0/aA3xaEEAgAUQCncTMk0acDgb+AzAW+zEitYyCUTAKRsEIAQAEZk6alCeZAwAAAABJRU5ErkJggg==","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":true,"prefix":"","firstName":"Tetsuo","middleName":"","lastName":"Ishizaki","suffix":""},{"id":285562762,"identity":"5fad0e02-9676-465e-b892-da4a63024933","order_by":1,"name":"Kenta Kasahara","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Kenta","middleName":"","lastName":"Kasahara","suffix":""},{"id":285562764,"identity":"06268e6c-50c5-45a8-8342-1020ae6640ce","order_by":2,"name":"Junichi Mazaki","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Junichi","middleName":"","lastName":"Mazaki","suffix":""},{"id":285562765,"identity":"4c209141-53e4-4404-b572-a30572888726","order_by":3,"name":"Ryutaro Udo","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Ryutaro","middleName":"","lastName":"Udo","suffix":""},{"id":285562766,"identity":"2ce6618d-a896-47b1-b91f-8dfd0bcad821","order_by":4,"name":"Tomoya Tago","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Tomoya","middleName":"","lastName":"Tago","suffix":""},{"id":285562767,"identity":"2765f5d5-4258-46d9-9d87-f579ebeb8f08","order_by":5,"name":"Kenichi Iwasaki","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Kenichi","middleName":"","lastName":"Iwasaki","suffix":""},{"id":285562768,"identity":"bdf51d0d-8518-4aec-9bfd-9f51de60911a","order_by":6,"name":"Yutaka Hayashi","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yutaka","middleName":"","lastName":"Hayashi","suffix":""},{"id":285562769,"identity":"afab7f82-1645-4a02-84a8-a977a60ff421","order_by":7,"name":"Yuichi Nagakawa","email":"","orcid":"","institution":"Tokyo Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yuichi","middleName":"","lastName":"Nagakawa","suffix":""}],"badges":[],"createdAt":"2024-03-30 04:44:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4190566/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4190566/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":54116011,"identity":"687f5cca-4f19-4eb0-bd66-4a2af9adfd1a","added_by":"auto","created_at":"2024-04-04 19:37:52","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":403113,"visible":true,"origin":"","legend":"\u003cp\u003eThe GelPOINT Path transanal access platform (Applied Medical, Rancho Santa Margarita, CA, USA) was used for access via the anus.\u003c/p\u003e","description":"","filename":"Figure11.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4190566/v1/e3132900c1ed50ae66d48195.jpg"},{"id":54115156,"identity":"b8159c2c-0a06-4321-9ff8-bdf4343ea1a9","added_by":"auto","created_at":"2024-04-04 19:29:52","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":398951,"visible":true,"origin":"","legend":"\u003cp\u003eResection of the anococcygeal ligament at the dorsal side of the rectum. After peeling off the tissue at the dorsal side of the rectum at 5 and 7 o’clock, where the tissue is relatively thin, identifying the anococcygeal ligament at 6 o’clock.\u003c/p\u003e","description":"","filename":"Figure12.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4190566/v1/fd385add8c2b757d6d64fd1b.jpg"},{"id":54116012,"identity":"9e7a7e89-b8a7-404a-bb9e-2fb637fb7470","added_by":"auto","created_at":"2024-04-04 19:37:52","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":459514,"visible":true,"origin":"","legend":"\u003cp\u003eThe rectourethral muscle, which is a thick smooth muscle tissue connecting the rectal wall and urethra, can be recognized at 0 o’clock.\u003c/p\u003e","description":"","filename":"Figure13.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4190566/v1/00b4b7cfc58cdcf45dd268b5.jpg"},{"id":54115157,"identity":"c63221d7-13e2-456a-8050-2592fb88ae2e","added_by":"auto","created_at":"2024-04-04 19:29:52","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":448579,"visible":true,"origin":"","legend":"\u003cp\u003eFourth pelvic splanchnic nerves and neuro-vascular bundle is\u003cstrong\u003e \u003c/strong\u003ethe landmarks of lateral dissection are the fourth pelvic splanchnic nerves and neuro-vascular bundle.\u003c/p\u003e","description":"","filename":"Figure14.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4190566/v1/9bb518f65a503272eb64bc4d.jpg"},{"id":57969645,"identity":"64ea2313-6231-4f2b-a8b7-68b7d0af9a5e","added_by":"auto","created_at":"2024-06-08 08:46:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2161615,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4190566/v1/60fe141a-8b68-40f5-94cd-7574bc93000d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Educational anatomical study for transanal total mesorectal excision in cadaveric surgical training","fulltext":[{"header":"Introduction","content":"\u003cp\u003eSurgical outcomes for rectal cancer have improved since total mesorectal excision (TME) [1] was proposed as the standard surgical procedure. Subsequently, the introduction of laparoscopic surgery for rectal cancer [2,3] has brought about an innovative evolution. However, there remained challenges. In cases of low rectal cancer, which require precise surgical skills in the narrow space of the deep pelvis, it may be difficult to perform conventional TME via the anterior approach through the abdomen, even in laparoscopic procedures. One possible solution, transanal TME (TaTME), was first described in a clinical report in 2010 [4] and is gaining popularity as an advanced surgery for low rectal cancer. The purpose of TaTME is to achieve complete TME and improve treatment outcomes by securing the circumferential resection margin (CRM) via a transanal approach for patients who are obese or have a narrow pelvis that makes conventional TME difficult [5]. In addition, it has advantages over conventional TME, including maintaining the distal margin and reducing operation time [6]. The downside of TaTME is that, unlike TME, it is performed from the opposite direction of the standard anterior approach, bottom to up. It thus becomes difficult to recognize anatomy, and laparoscopic surgeons can be led astray. Therefore, the laparoscopic surgeon who performs TaTME must have advanced surgical skills and knowledge of deep pelvic anatomy specific to TaTME to avoid urethral injury and accurately accomplish TaTME [7].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo safely introduce the TaTME procedure in clinical practice, we consider it important to establish an educational process that combines training models and hands-on training that are useful for laparoscopic surgeons [8]. In the dry lab, a simulator can be used to learn how to manipulate forceps in a limited pelvic space, as would be present in TaTME. There are also no ethical hurdles to overcome, and box training can be completed at the student\u0026rsquo;s pace and even in their home. However, there is a certain lack of realism because there is no actual separation or dissection of tissue [9]. In an animal model, tissues can be separated and dissected using surgical forceps and devices used in the operating room. Since faulty surgical skills and dissection layer selection can cause bleeding, the reproduction here of an environment close to actual surgical conditions contributes to improving surgical technique [10]. However, the fascia and nerve tissue structures differ from actual human pelvic anatomy. Cadaveric surgical training (CST) uses accurate pelvic anatomy to identify structures such as the proper rectal fascia and neuro-vascular bundle, which are indicators in real-life clinical practice. It is the best surgical training model because it allows surgical operations to be performed on the same dissection layer as in actual surgery [10]. It also shortens the learning curve for TaTME and is the best training model [7,11].\u003c/p\u003e\n\u003cp\u003eAs Asian people often have a relatively low body mass index, many cases of low rectal cancer can be treated with conventional TME via the anterior approach. Therefore, since ultra-low rectal cancer is often an indicator for TaTME, rather than having the distal rectum transection be at the level of the dentate line as it often is in the West [7], it is often shifted towards the anus to be a distal rectum transection at the level of the inter-sphincteric groove. Consequently, the anatomical structures the laparoscopic surgeon should consider are slightly different. Although there have been previous reports on the usefulness of CST for TaTME [7,12], there are no reports on CST focusing on the dissection required for TaTME from an educational perspective. In this paper, we will report on our experiences with CST at Tokyo Medical University Hospital from the perspective of a laparoscopic surgeon, with an emphasis on the anatomical knowledge necessary for TaTME.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003e\u003cstrong\u003eSetting\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Tokyo Medical University Ethics Committee (approval no. 3839). All cadavers were supplied by Toju-kai (Tokyo Medical University Body Donation Society). We provided explanations to and obtained written consent from the living patients and families enrolled in Toju-kai. Between 2018 and 2020, three CSTs were conducted with 6 male cadavers. All cadavers were embalmed with saturated salt solution technology [13]. A trainer with experience in over 30 cases of TaTME was invited from an external organization. The trainees were required to have extensive experience with in vivo conventional TME and be certified via the Endoscopic Surgical Skill Qualification System [14]. Before CST, the trainer gave a presentation in the lecture room on pelvic dissection and TaTME techniques. Next, they moved to the training room to practice CST. The GelPOINT Path transanal access platform (Applied Medical, Rancho Santa Margarita, CA, USA) was used for access via the anus (Fig. 1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTaTME Surgical Process\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eProcedural steps were timed and video-recorded during the operation and included.\u003c/p\u003e\n\u003cp\u003e1. TaTEM platform insertion and Purse-string occlusion of the rectum.\u003c/p\u003e\n\u003cp\u003e2. Distal rectum transection at the level of the inter-sphincteric groove line.\u003c/p\u003e\n\u003cp\u003e3. Resection of the anococcygeal ligament at the dorsal side of the rectum (Fig. 2).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e4. Resection of the rectourethral muscle at the ventral side of the rectum (Fig. 3).\u003c/p\u003e\n\u003cp\u003e5. Fourth pelvic splanchnic nerves were spared (Fig. 4).\u003c/p\u003e\n\u003cp\u003e6. TaTME was completed.\u003c/p\u003e\n\u003cp\u003eAll steps of the process were timed. Specimens were transanally or transabdominally extracted. The trainer rated the TME quality [15] as complete, near complete, or incomplete.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eAll results are expressed as median values and range. The number of trainees were 6 surgeons. Their number of years since graduation was 9 (6\u0026ndash;19), their experience with conventional TME on live patients was 46 cases (27\u0026ndash;202), and their experience with TaTME on live patients was 0 cases (0\u0026ndash;4) (Table 1). Their set up of the transanal platform was 14 min (7\u0026ndash;21), time to resect the anococcygeal ligament was 17 min (6\u0026ndash;29), time to resect the retrourethral muscle was 23 min (9\u0026ndash;41), time to spare fourth pelvic splanchnic nerves was 11 min (4\u0026ndash;28), and total completion of the TaTME was 84 min (59\u0026ndash;122). The grade of TME was incomplete in 1 case (16.7%), nearly complete in 1 case (16.7%), and complete in 4 cases (66.6%) (Table 2).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this study, we identified the anatomical structures necessary for TaTME. Laparoscopic surgeons with a certain level of clinical experience and surgical skill but little experience in TaTME became trainees. They received guidance in their training from an experienced trainer and achieved high TME quality. This could be attributed to the accuracy of the educational trainer\u0026rsquo;s lecture on anatomy before CST and the fact that each trainee performed TaTME with an understanding of the necessary landmark anatomical structures. Here, we will discuss the necessary anatomical landmarks used to perform TaTME safely.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnococcygeal ligament\u003c/strong\u003e: the anococcygeal ligament, composed of abundant elastic fibers and smooth muscles, is an indicator during dissection on the dorsal side of the rectum. One vital step to ensuring a smooth surgical procedure is, after peeling off the tissue at the dorsal side of the rectum at 5 and 7 o\u0026rsquo;clock, where the tissue is relatively thin, identifying the anococcygeal ligament at 6 o\u0026rsquo;clock. The anococcygeal ligament is divided into two layers based on the arrangement of adhesion [16]. The ventral layer is found from the presacral fascia to the conjoint longitudinal layer of the anal canal. The dorsal layer is found extending between the coccyx and external anal sphincter. During TaTME, the anococcygeal ligament is dissected starting from the anus so that the avascular plane with loose connective tissue that exists between the mesorectal fascia and the parietal pelvic fascia, also called the \u0026ldquo;holy plane\u0026rdquo; [17], can be recognized. Accurately recognizing this dissection layer is the first critical step in completing TaTME. In CST, one should recognize these anatomical structures, be aware of \u0026ldquo;where am I making a dissection right now,\u0026rdquo; and avoid actions that undermine the curability of the disease, such as cutting in through the tumor.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRectourethral muscle:\u0026nbsp;\u003c/strong\u003ethe rectourethral muscle is the most important indicator on the ventral side of the rectum. The ventral side of the rectum is not easily visible when using the conventional anterior approach, but TaTME allows for reproducible surgery with a good field of view. A solid understanding of the anatomy of the ventral side of the rectum results in TaTME becoming the most advantageous approach. According to Kitaguchi et al. [18], when the longitudinal muscle is separated at 1 and 11 o\u0026rsquo;clock, a sparse, so-called \u0026ldquo;sweet space\u0026rdquo; posterior to the prostate can be easily reached. This space can be safely reached in TaTME and should be identified first on the ventral side of the rectum. When this space is dissected, thick, smooth muscle tissue connecting the rectal wall and urethra can be recognized at 0 o\u0026rsquo;clock. This is the rectourethral muscle. The rectourethral muscle has a thickness of approximately 5\u0026ndash;10 mm, and the laparoscopic surgeon needs to determine the appropriate line of dissection to ensure the CRM in cases of anterior side located advanced rectal cancer. The space between the prostate and the rectal wall can be recognized by dissecting the rectourethral muscle. In nearly half of the cases, the cavernous nerve involved in erections runs through it, which may also be related to erectile dysfunction. The greatest advantage of CST is the ability to experience the actual surgical dissection used in TaTME before implementing it in clinical practice.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFourth pelvic splanchnic nerves and neuro-vascular bundle:\u0026nbsp;\u003c/strong\u003ethe landmarks of lateral dissection are the fourth pelvic splanchnic nerves and neuro-vascular bundle. The fourth pelvic splanchnic nerves run in a ventral direction from near the pisiform muscle\u0026rsquo;s anterior border. It is located a few centimeters toward the cranial side from the upper border of the anal canal, and care should be taken to avoid damaging it. If dissection is performed lateral to the fourth pelvic splanchnic nerves, care should be taken to avoid bleeding from the internal iliac vein. The fourth pelvic splanchnic nerves travel to the neuro-vascular bundle via the pelvic nerve plexus. This is an anatomical structure that is recognizable in CST. Preserving these ensures the preservation of postoperative sexual and urinary functions [19]. With the line of dissection set inside the fourth pelvic splanchnic nerves and neuro-vascular bundle, nerve-guided surgery retains the correct separation layer in TaTME and improves TME quality.\u003c/p\u003e\n\u003cp\u003eIn 2017, the TaTME registry collaborative [20] reported the results of 720 cases with an R0 rate of 97.3% and a histological CRM positive rate of 2.4%, indicating very good oncological short-term outcomes. However, the dissection layer was misidentified in 7.8% of cases, and urethral injury was observed in 0.7%, and the issue that TaTME requires a different anatomical awareness than conventional TME remains. McLemore et al. [21] indicate six key elements that should be highlighted as pathways for introducing TaTME training. (1) Expertise in TME for rectal cancer; (2) expertise in minimally invasive (laparoscopic and/or robotic) TME from the abdominal approach; (3) expertise in transanal endoscopic surgery; (4) experience in inter-sphincteric dissection for very low rectal invasive neoplasms; (5) practice in TaTME techniques in human cadaver models; and (6) IRB approved data collection with publication of outcomes and/or participation in a clinical registry. This study contributes to success in pathways (3) and (5) by revealing the landmark anatomical structure of TaTME through CST, which will lead to the safe implementation of TaTME and improvements in TME quality comparing to previously report [7]. In Japan, costs and ethical considerations make it difficult to perform CST, and it is difficult to meet the needs of a wide range of surgeons who want to become proficient in TaTME quickly. Against this backdrop, we verified the detailed surgical anatomy required for TaTME using the previous CST we did have. Although it is still in its infancy and needs time to be formalized, we believe that CST for TaTME is a promising educational method for overcoming and performing the characteristic anatomical challenges safely.\u003c/p\u003e\n\u003cp\u003eThis descriptive study had several limitations. There are a small number of registered cadavers and trainees. The trainees\u0026rsquo; skills and experience levels with conventional TME are not consistent. We have not been able to evaluate the clinical impact of this CST. Furthermore, its usefulness for conventional TME is also unclear. Two randomized controlled trials, COLOR III [22] and GRECCAR [23], comparing TaTME and conventional TME, are currently underway, the results of which are eagerly awaited.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eTaTME is an innovative and realizable surgical procedure. However, educational CST with a trainer and trainee is important because of the complex anatomical knowledge required. Through CST, we identified the anatomical landmarks necessary to perform TaTME safely.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eThe Authors have no conflicts of interest to declare regarding this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStudy conception and design: T.I., K.K.; Data acquisition: T.I., Y.H., K.I., J.M.; Data interpretation: T.I., R.U., T.T.; Drafting the manuscript: T.I.; Supervision of the manuscript: Y.N..\u0026nbsp;All authors reviewed the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study has not received specific funding from any funding agency, public, for-profit or non-profit.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis project was made possible by the continuous work of the steering groups of the Department of Anatomy, Tokyo Medical University and the Toju-kai (Tokyo Medical University Body Donation Society). A special thanks to Editage (https://www.editage.jp) for English language editing.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eHeald RJ, Husband EM, Ryall RD (1982) The mesorectum in rectal cancer surgery\u0026ndash;the clue to pelvic recurrence? Br J Surg 69:613\u0026ndash;616\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBraga M, Frasson M, Vignali A, Zuliani W, Capretti G, Di Carlo V (2007) Laparoscopic resection in rectal cancer patients: outcome and cost-benefit analysis. Dis Colon Rectum 50:464\u0026ndash;471\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKang SB, Park JW, Jeong SY, Nam BH, Choi HS, Kim DW, Lim SB, Lee TG, Kim DY, Kim JS, Chang HJ, Lee HS, Kim SY, Jung KH, Hong YS, Kim JH, Sohn DK, Kim DH, Oh JH (2010) Open versus laparoscopic surgery for mid or low rectal cancer after neoadjuvant chemoradiotherapy (COREAN trial): short-term outcomes of an open-label randomised controlled trial. 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J Anus Rectum Colon 7:225\u0026ndash;231\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePatel VR, Samavedi S, Bates AS, Kumar A, Coelho R, Rocco B, Palmer K (2015) Dehydrated human amnion/chorion membrane allograft nerve wrap around the prostatic neurovascular bundle accelerates early return to continence and potency following robot-assisted radical prostatectomy: propensity score\u0026ndash;matched analysis. Eur Urol 67:977\u0026ndash;980\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePenna M, Hompes R, Arnold S, Wynn G, Austin R, Warusavitarne J, Moran B, Hanna GB, Mortensen NJ, Tekkis PP (2017) Transanal Total Mesorectal Excision: International Registry Results of the First 720 Cases. Ann Surg 266:111\u0026ndash;117\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcLemore EC, Harnsberger CR, Broderick RC (2016) Transanal total mesorectal excision (taTME) for rectal cancer: a training pathway. Surg Endosc 30:4130\u0026ndash;4135\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDeijen CL, Velthuis S, Tsai A, Mavroveli S, de Lange-de Klerk ES, Sietses C, Tuynman JB, Lacy AM, Hanna GB, Bonjer HJ (2016) COLOR III: a multicentre randomised clinical trial comparing transanal TME versus laparoscopic TME for mid and low rectal cancer. Surg Endosc 30:3210\u0026ndash;3215\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLelong B, de Chaisemartin C, Meillat H, Cournier S, Boher JM, Genre D, Karoui M, Tuech JJ, Delpero JR; French Research Group of Rectal Cancer Surgery (GRECCAR) (2017) A multicentre randomised controlled trial to evaluate the efficacy, morbidity and functional outcome of endoscopic transanal proctectomy versus laparoscopic proctectomy for low-lying rectal cancer (ETAP-GRECCAR 11 TRIAL): rationale and design. BMC Cancer 17:253\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\n\u003cp\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Low rectal cancer, transanal total mesorectal excision, cadaveric surgical training","lastPublishedDoi":"10.21203/rs.3.rs-4190566/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4190566/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThis study reported on cadaveric surgical training (CST) focusing on the anatomical knowledge necessary for transanal total mesorectal excision (TaTME) and educational perspective on our experiences.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eAnatomical findings were collected from three cadaveric surgical training were conducted with 6 male cadavers from 2018 to 2020. All steps of the TaTME process were timed. Specimens were transanally or transabdominally extracted. The trainer rated the total mesorectal excision (TME) quality as complete, near complete, or incomplete.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe number of trainees were 6 surgeons. Their number of years since graduation was 9 (6\u0026ndash;19), their experience with conventional TME on live patients was 46 cases (27\u0026ndash;202), and their experience with TaTME on live patients was 0 case (0\u0026ndash;4). Their set up of the transanal platform was 14 min (7\u0026ndash;21), time to resect the anococcygeal ligament was 17 min (6\u0026ndash;29), time to resect the retrourethral muscle was 23 min (9\u0026ndash;41), time to spare fourth pelvic splanchnic nerves was 11 min (4\u0026ndash;28), and total completion of the TaTME was 84 min (59\u0026ndash;122). The grade of TME was incomplete in 1 case (11.1%), nearly complete in 1 case (11.1%), and complete in 7 cases (77.8%).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eIn this study, the anatomical structures necessary for TaTME was identified. We believe that CST for TaTME is a promising educational method for overcoming and performing the characteristic anatomical challenges safely.\u003c/p\u003e","manuscriptTitle":"Educational anatomical study for transanal total mesorectal excision in cadaveric surgical training","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-04 19:29:47","doi":"10.21203/rs.3.rs-4190566/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"95990a21-4ecd-483e-ab7c-6d4ab7350a85","owner":[],"postedDate":"April 4th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-06-08T08:38:27+00:00","versionOfRecord":[],"versionCreatedAt":"2024-04-04 19:29:47","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4190566","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4190566","identity":"rs-4190566","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}