Evidence map›Paper›PMID 40989872›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2025

Tailored-Surgery for Locally Advanced Rectal Cancer Based on 3D Mathematical Reconstruction Surgical Planner: Prospective Multicenter Study.

Álvaro García-Granero, Sebastián Jeri-McFarlane, Gianluca Pellino, Aina Ochogavía-Seguí, Jorge Sancho-Muriel, Marco Antonio Martínez-Ortega, Isabel Amengual-Antich, Blas Flor-Lorente, Francisco Giner-Segura, Nuria Gomez-Romeu and 3 more

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Álvaro García-GraneroFrom the Colorectal Unit, General and Digestive Surgery Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Sebastián Jeri-McFarlaneFrom the Colorectal Unit, General and Digestive Surgery Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Gianluca PellinoDepartment of Advanced Medical and Surgical Sciences, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Aina Ochogavía-SeguíFrom the Colorectal Unit, General and Digestive Surgery Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Jorge Sancho-MurielColorectal Unit, General and Digestive Surgery Department, Hospital Universitari y Politècnic La Fe, Valencia, Spain.
Marco Antonio Martínez-OrtegaPathology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Isabel Amengual-AntichPathology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Blas Flor-LorenteColorectal Unit, General and Digestive Surgery Department, Hospital Universitari y Politècnic La Fe, Valencia, Spain.
Francisco Giner-SeguraPathology Department, Hospital Universitari y Politècnic La Fe, Valencia, Spain.
Nuria Gomez-RomeuColorectal Unit, General and Digestive Surgery Department, Hospital Universitari Dr. Josep Trueta, Girona, Spain.
Ramon Farrés-CollColorectal Unit, General and Digestive Surgery Department, Hospital Universitari Dr. Josep Trueta, Girona, Spain.
Margarita Gamundí-CuestaFrom the Colorectal Unit, General and Digestive Surgery Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Francisco Xavier Gonzalez-ArgentéFrom the Colorectal Unit, General and Digestive Surgery Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the feasibility of a 3D image processing and reconstruction system (3D-IPR) based on pelvic magnetic resonance imaging (MRI) for surgical planning of locally advanced rectal cancer (LARC) and recurrent pelvic rectal cancer (PRCR). Background: Achieving R0 resection is critical for prognosis in LARC and PRCR, but 2D imaging often limits precise surgical planning in complex pelvic anatomy. 3D reconstruction may enhance visualization and decision-making. Methods: In this prospective feasibility multicenter study, 37 patients with LARC or PRCR and threatened circumferential resection margins on MRI underwent surgical planning using 3D-IPR. This tool provides information on tumor localization, infiltration volume, and precise spatial relationships with adjacent structures. Outcomes included surgeon satisfaction, changes in surgical approach, and perioperative results. Results: A total of 56.7% of cases were primary rectal cancer and 43.2% were recurrent cancer. Satisfaction percentage of 3D-IPR to select the best surgical route was 100%. Minimally invasive techniques were employed in 40% of the surgeries. In 37.8% of cases, it was considered that the 3D-IPR changed the decision on the surgical attitude with respect to the neighboring organ with suspicion of infiltration. R0 resection was achieved in 75.7% of cases, with no perioperative mortality and a severe complication rate of 27%. Conclusions: A surgical planner based on 3D reconstruction using mathematical algorithms from pelvic MRI is feasible for performing tailored surgery for locally advanced rectal cancers and pelvic recurrence. Further research will show if this new tool reduces the morbidity and mortality rates, increasing the probability of R0 surgery, and increasing survival.

Indexed as

3D reconstructionartificial intelligencepelvic recurrencerectal neoplasmsurgical planning

Identifiers

PMID40989872
PMCPMC12453327

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.