Publications by authors named "Margarita Gamundi-Cuesta"

Background: This study investigates the effectiveness of a three-dimensional reconstruction mathematical model (3D-IPR) for preoperative planning in locally advanced colon cancer (LACC) with threatened surgical margins. The objective was to evaluate the utility of a 3D-IPR surgical planner tool in cases of LACC with threatened surgical margins. Additionally, the study aims to compare the diagnostic accuracy of the 3D-IPR model against conventional CT scans in determining the infiltration of neighboring structures.

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  • The study focuses on improving outcomes for locally advanced colon cancer (LACC) surgery by using 3D Image Processing and Reconstruction (3D-IPR) to enhance diagnostic accuracy and enable complete R0 surgical resections.
  • It involves a comparative, observational approach where participants are adults undergoing LACC surgery, assessed via CT scans and colonoscopy, with strict exclusion criteria for certain conditions.
  • The primary goal is to evaluate how effectively 3D-IPR can determine tumor infiltration compared to standard CT scans, with various secondary objectives related to surgical strategy and patient outcomes, while monitoring for any potential harm from the imaging processes.
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  • - The study focuses on determining how the time between completing neoadjuvant therapy (NAT) and undergoing total mesorectal excision (TME) affects outcomes in patients with extraperitoneal locally advanced rectal cancer (LARC), hypothesizing that longer intervals might increase pathologic complete response (pCR) rates without raising surgical risks.
  • - Researchers analyzed data from 1,506 LARC patients across six centers, categorizing them into groups based on whether the interval between NAT and surgery was short (≤8 weeks), intermediate (>8 and ≤12 weeks), or long (>12 weeks), with a median follow-up of 33 months.
  • - Results showed that the overall pCR rate was 17.
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Ahead of Print article withdrawn by publisher. An 80-year-old woman presented necrotizing fasciitis on the right flank, requiring debridement. Tomography reported ascending colon neoplasm fistulized to the skin.

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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.

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Mathematical algorithms 3D-reconstruction techniques and artificial intelligence are a current line of innovation in colorectal surgical oncology. The objective of this study is to show the initial experience of a 3D image processing and reconstruction system to perform complete mesocolic excision and D3-lymphadenectomy in colon cancer. It is applied to a splenic flexure neoplasm and in a right colon cancer with suspected retroperitoneal infiltration.

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Introduction: We distributed a survey in order to determine the current indications for the use of colonic stents to treat colonic obstruction in Spain and its compliance with international guidelines.

Methods: Descriptive study of a survey distributed by the Spanish Association of Surgeons (Asociación Española de Cirujanos), the Catalan Society of Surgery (Societat Catalana de Cirurgia) and the Spanish Society of Digestive Endoscopy (Sociedad Española de Endoscopia Digestiva).

Results: 340 valid responses were received: 25% from gastrointestinal specialists, and 75% from general surgeons.

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