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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. â¢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. â¢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. â¢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: â¢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. â¢Outcome Parameters: These include loco-regional and distant recurrence rates, peritoneal carcinomatosis, disease-free and overall survival, and mortality due to oncologic progression. â¢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).
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Neoplasias do Colo , Imageamento Tridimensional , Humanos , Neoplasias do Colo/cirurgia , Neoplasias do Colo/patologia , Neoplasias do Colo/diagnóstico por imagem , Estudos Prospectivos , Tomografia Computadorizada por Raios X/métodos , Ensaios Clínicos Controlados não Aleatórios como Assunto , Colectomia/métodos , Estudos Observacionais como Assunto , Estadiamento de NeoplasiasRESUMO
Background: Simultaneous liver resection and peritoneal cytoreduction with hyperthermic intraperitoneal chemotherapy (HIPEC) remains controversial today. The aim of the study was to analyze the postoperative outcomes and survival of patients with advanced metastatic colon cancer (peritoneal and/or liver metastases). Methods: Retrospective observational study from a prospective maintained data base. Patients who underwent a simultaneous peritoneal cytoreduction and liver resection plus HIPEC were studied. Postoperative outcomes and overall and disease free survival were analyzed. Univariate and multivariate analyses were performed. Results: From January 2010 to October 2022, 22 patients operated with peritoneal and liver metastasis (LR+) were compared with 87 patients operated with peritoneal metastasis alone (LR-). LR+ group presented higher serious morbidity (36.4 vs. 14.9%; p: 0.034). Postoperative mortality did not reach statistical difference. Median overall and disease free survival was similar. Peritoneal carcinomatosis index was the only predictive factor of survival. Conclusions: Simultaneous peritoneal and liver resection is associated with increased postoperative morbidity and hospital stay, but with similar postoperative mortality and OS and disease free survival. These results reflect the evolution of these patients, considered inoperable until recently, and justify the trend to incorporate this surgical strategy within a multimodal therapeutic plan in highly selected patients.
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AIM: The aim of this study is to demonstrate the added value of three-dimensional (3D) reconstruction models and artificial intelligence for preoperative planning in complex perianal Crohn's disease. MRI is the gold standard for diagnosis of complex perianal fistulas and abscess due to its high sensitivity, but it lacks high specificity values. This creates the need for better diagnostic models such as 3D image processing and reconstruction (3D-IPR) with artificial intelligence (AI) algorithms. METHOD: This is a prospective study evaluating the utility of 3D reconstruction models from MRI in four patients with perineal Crohn's disease (pCD). RESULTS: Four pCD patients had 3D reconstruction models made from pelvic MRI. This provided a more visual representation of perianal disease and made possible location of the internal fistula orifice, seton placement in fistula tracts and abscess drainage. CONCLUSION: Three-dimensional reconstruction in CD-associated complex perianal fistulas can facilitate disease interpretation, anatomy and surgical strategy, potentially improving preoperative planning as well as intraoperative assistance. This could probably result in better surgical outcomes to control perianal sepsis and reduce the number of surgical procedures required in these patients.