Prospective observational non-randomized trial protocol for surgical planner 3D image processing & reconstruction for locally advanced colon cancer
Introduction Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstr...
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| Vydané v: | BMC surgery Ročník 24; číslo 1; s. 292 - 7 |
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| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
BioMed Central
07.10.2024
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 1471-2482, 1471-2482 |
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| Abstract | Introduction
Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery.
Methods
Single-center, prospective, observational, comparative, non-randomized study.
•
Participants
: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors.
•
Interventions
: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2.
•
Objective
: The primary goal is to evaluate 3D-IPR’s utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants.
•
Outcome
: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard.
Results
•
Recruitment and Number Analyzed
: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures.
•
Outcome Parameters:
These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression.
•
Harms
: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans.
Discussion
If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC.
Trial registration
Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). |
|---|---|
| AbstractList | Introduction
Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery.
Methods
Single-center, prospective, observational, comparative, non-randomized study.
•
Participants
: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors.
•
Interventions
: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2.
•
Objective
: The primary goal is to evaluate 3D-IPR’s utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants.
•
Outcome
: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard.
Results
•
Recruitment and Number Analyzed
: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures.
•
Outcome Parameters:
These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression.
•
Harms
: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans.
Discussion
If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC.
Trial registration
Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). Abstract Introduction Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery. Methods Single-center, prospective, observational, comparative, non-randomized study. •Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors. •Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2. •Objective: The primary goal is to evaluate 3D-IPR’s utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants. • Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard. Results •Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. •Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. •Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans. Discussion If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC. Trial registration Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery. Single-center, prospective, observational, comparative, non-randomized study. *Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC. Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery.INTRODUCTIONColon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery.Single-center, prospective, observational, comparative, non-randomized study. •Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors. •Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2. •Objective: The primary goal is to evaluate 3D-IPR's utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants. • Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard.METHODSSingle-center, prospective, observational, comparative, non-randomized study. •Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors. •Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2. •Objective: The primary goal is to evaluate 3D-IPR's utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants. • Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard.•Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. •Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. •Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans.RESULTS•Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. •Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. •Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans.If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC.DISCUSSIONIf successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC.Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023).TRIAL REGISTRATIONTrial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). IntroductionColon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery.MethodsSingle-center, prospective, observational, comparative, non-randomized study.•Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors.•Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2.•Objective: The primary goal is to evaluate 3D-IPR’s utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants.• Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard.Results•Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures.•Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression.•Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans.DiscussionIf successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC.Trial registrationTrial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). Introduction Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery. Methods Single-center, prospective, observational, comparative, non-randomized study. *Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors. *Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2. *Objective: The primary goal is to evaluate 3D-IPR's utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants. * Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard. Results *Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. *Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. *Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans. Discussion If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC. Trial registration Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). Keywords: Innovation, Colon neoplasm, 3D Reconstruction, Colorectal surgery Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision (CME) is common, but some cases require extended resections. This study investigates the use of 3D Image Processing and Reconstruction (3D-IPR) to improve diagnostic accuracy in locally advanced colon cancer (LACC) with suspected infiltration and achieve R0 surgery. Single-center, prospective, observational, comparative, non-randomized study. •Participants: Patients aged > 18 years undergoing LACC surgery, as indicated by CT scans, confirmed via colonoscopy. Exclusion criteria include neoadjuvant therapy, suspected carcinomatosis on CT, and unresectable tumors. •Interventions: 3D-IPR models are used for surgical planning, providing detailed tumor and surrounding structure metrics. Surgical procedures are guided by CT scans and intraoperative findings, categorized by surgical margins as R0, R1, or R2. •Objective: The primary goal is to evaluate 3D-IPR's utility in achieving R0 resection in LACC with suspected infiltration. Secondary objectives include assessing preoperative surgical strategy, comparing CT reports, detecting adenopathy, and identifying vascularization and anatomical variants. • Outcome: The main outcome is the diagnostic accuracy of 3D-IPR in determining tumor infiltration of neighboring structures compared to conventional CT scans, using definitive pathological reports as the gold standard. •Recruitment and Number Analyzed: The study aims to recruit about 20 patients annually over two years, focusing on preoperative 3D-IPR analysis and subsequent surgical procedures. •Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. •Harms: No additional risks from CT scans, as they are mandatory for staging colon tumors. 3D-IPR is derived from these CT scans. If successful, this study could provide an objective tool for precise tumor extension delimitation, aiding decision-making for radiologists, surgeons, and multidisciplinary teams. Enhanced staging through 3D-IPR may influence therapeutic strategies, reduce postsurgical complications, and improve the quality of life of patients with LACC. Trial is registered at ISRCTN registry as ISRCTN81005215. Protocol version I (Date 29/06/2023). |
| ArticleNumber | 292 |
| Audience | Academic |
| Author | González-Argenté, Francisco Xavier Gamundí-Cuesta, Margarita Ochogavía-Seguí, Aina Pellino, Gianluca Torres-Marí, Noemi Jerí-McFarlane, Sebastián García-Granero, Álvaro Rodríguez-Velázquez, Miguel |
| Author_xml | – sequence: 1 givenname: Sebastián surname: Jerí-McFarlane fullname: Jerí-McFarlane, Sebastián organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of Islas Baleares – sequence: 2 givenname: Álvaro surname: García-Granero fullname: García-Granero, Álvaro email: alvarogggf@hotmail.com organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of Islas Baleares – sequence: 3 givenname: Gianluca surname: Pellino fullname: Pellino, Gianluca organization: Department of Advanced Medical and Surgical Sciences, Università Degli Studi Della Campania “Luigi Vanvitelli”, General & Digestive Surgery, Colorectal Unit, Vall D´Hebron University Hospital – sequence: 4 givenname: Noemi surname: Torres-Marí fullname: Torres-Marí, Noemi organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases – sequence: 5 givenname: Aina surname: Ochogavía-Seguí fullname: Ochogavía-Seguí, Aina organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases – sequence: 6 givenname: Miguel surname: Rodríguez-Velázquez fullname: Rodríguez-Velázquez, Miguel organization: Innovation and Technology Department, Cella Medical Solutions – sequence: 7 givenname: Margarita surname: Gamundí-Cuesta fullname: Gamundí-Cuesta, Margarita organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases – sequence: 8 givenname: Francisco Xavier surname: González-Argenté fullname: González-Argenté, Francisco Xavier organization: Colorectal Unit, General & Digestive Surgery Department, Hospital Universitario Son Espases, University of Islas Baleares |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39375653$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
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| Keywords | Colon neoplasm Innovation 3D Reconstruction Colorectal surgery |
| Language | English |
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| PublicationTitle | BMC surgery |
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| References | FD Elibol (2558_CR10) 2016; 22 A Garcia-Granero (2558_CR16) 2020; 24 A Garcia-Granero (2558_CR15) 2020; 22 F Dinç (2558_CR9) 2016 G Pellino (2558_CR19) 2018; 22 A Garcia-Granero (2558_CR17) 2018; 22 T Yamanashi (2558_CR7) 2018; 48 Z Balciscueta (2558_CR3) 2021; 47 W Hohenberger (2558_CR18) 2009; 11 JA Luzon (2558_CR20) 2019; 33 J Maupoey Ibáñez (2558_CR11) 2019; 21 MK Kamel (2558_CR14) 2023; 66 AE Feinberg (2558_CR5) 2017; 60 D Hojo (2558_CR21) 2019; 23 2558_CR22 2558_CR6 2558_CR4 A Arjona-Sanchez (2558_CR12) 2022; 1 VP Bastiaenen (2558_CR13) 2021; 47 W Chan (2558_CR23) 2013; 158 2558_CR2 PJ Shukla (2558_CR8) 2015; 58 A Garcia-Granero (2558_CR1) 2020; 63 |
| References_xml | – volume: 63 start-page: 450 issue: 4 year: 2020 ident: 2558_CR1 publication-title: Dis Colon Rectum doi: 10.1097/DCR.0000000000001589 – volume: 24 start-page: 605 issue: 6 year: 2020 ident: 2558_CR16 publication-title: Tech Coloproctol doi: 10.1007/s10151-020-02170-4 – volume: 58 start-page: 25 issue: 1 year: 2015 ident: 2558_CR8 publication-title: Dis Colon Rectum doi: 10.1097/DCR.0000000000000220 – volume: 48 start-page: 534 issue: 5 year: 2018 ident: 2558_CR7 publication-title: Surg Today doi: 10.1007/s00595-017-1621-8 – volume-title: The role of multidetector CT in local staging and evaluation of retroperitoneal surgical margin involvement in colon cancer year: 2016 ident: 2558_CR9 – volume: 47 start-page: 2405 issue: 9 year: 2021 ident: 2558_CR13 publication-title: Eur J Surg Oncol doi: 10.1016/j.ejso.2021.05.009 – volume: 22 start-page: 2340 issue: 12 year: 2020 ident: 2558_CR15 publication-title: Color Dis doi: 10.1111/codi.15281 – volume: 23 start-page: 793 issue: 8 year: 2019 ident: 2558_CR21 publication-title: Tech Coloproctol doi: 10.1007/s10151-019-02060-4 – ident: 2558_CR22 doi: 10.1111/codi.15881 – volume: 60 start-page: 116 issue: 1 year: 2017 ident: 2558_CR5 publication-title: Dis Colon Rectum doi: 10.1097/DCR.0000000000000641 – volume: 33 start-page: 567 issue: 2 year: 2019 ident: 2558_CR20 publication-title: Surg Endosc doi: 10.1007/s00464-018-6332-8 – volume: 66 start-page: 1435 issue: 11 year: 2023 ident: 2558_CR14 publication-title: Dis Colon Rectum – ident: 2558_CR4 doi: 10.1111/ases.13171 – ident: 2558_CR2 doi: 10.1016/j.ciresp.2022.10.023 – volume: 21 start-page: 1151 issue: 10 year: 2019 ident: 2558_CR11 publication-title: Colorectal Dis doi: 10.1111/codi.14724 – volume: 11 start-page: 354 issue: 4 year: 2009 ident: 2558_CR18 publication-title: Colorectal Dis doi: 10.1111/j.1463-1318.2008.01735.x – volume: 158 start-page: 200 issue: 3 year: 2013 ident: 2558_CR23 publication-title: Ann Intern Med doi: 10.7326/0003-4819-158-3-201302050-00583 – volume: 22 start-page: 5 issue: 1 year: 2016 ident: 2558_CR10 publication-title: Diagn Interv Radiol doi: 10.5152/dir.2015.15089 – ident: 2558_CR6 doi: 10.1007/s00464-017-5544-7 – volume: 47 start-page: 1541 issue: 7 year: 2021 ident: 2558_CR3 publication-title: Eur J Surg Oncol doi: 10.1016/j.ejso.2021.02.020 – volume: 1 start-page: S680 issue: 33 year: 2022 ident: 2558_CR12 publication-title: Ann Oncol doi: 10.1016/j.annonc.2022.07.452 – volume: 22 start-page: 129 issue: 2 year: 2018 ident: 2558_CR17 publication-title: Tech Coloproctol doi: 10.1007/s10151-018-1746-9 – volume: 22 start-page: 709 issue: 9 year: 2018 ident: 2558_CR19 publication-title: Tech Coloproctol doi: 10.1007/s10151-018-1854-6 |
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Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete... Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete mesocolic excision... Introduction Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete... IntroductionColon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with complete... Abstract Introduction Colon cancer presents significant surgical challenges that necessitate the development of precise strategies. Standardization with... |
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| SubjectTerms | 3D Reconstruction Accuracy Adjuvant treatment Algorithms Cancer Chemotherapy Clinical trials Colectomy - methods Colon cancer Colon neoplasm Colonic Neoplasms - diagnostic imaging Colonic Neoplasms - pathology Colonic Neoplasms - surgery Colonoscopy Colorectal cancer Colorectal surgery Comparative analysis Computed tomography Contraindications CT imaging Decision making Gastric cancer Gastrointestinal diseases Health aspects Humans Image processing Image reconstruction Imaging, Three-Dimensional Infiltration Innovation Internal Medicine Medical imaging Medicine Medicine & Public Health Metastases Mortality Neoplasm Staging Non-Randomized Controlled Trials as Topic Observational Studies as Topic Oncology, Experimental Pathology Prospective Studies Quality of life Reconstructive surgery Study Protocol Surgery Surgical techniques Tomography, X-Ray Computed - methods Tumors Vascularization Veins & arteries |
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| Title | Prospective observational non-randomized trial protocol for surgical planner 3D image processing & reconstruction for locally advanced colon cancer |
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