Evidence map›Paper›PMID 41973160›Full record

SynthesisLa Radiologia medica2026

Imaging-based 3D-printed anatomical models for preoperative planning in hepatopancreatobiliary surgery: a single-center pilot study, cost analysis, and systematic review.

Pasquale Avella, Maria Chiara Brunese, Salvatore Spiezia, Giustiniano Inglese, Paolo Bianco, Francesco Stanzione, Giulia Varriano, Salvatore Cappabianca, Fulvio Calise, Aldo Rocca and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in La Radiologia medica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Pasquale Avella *Hepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Caserta, Italy. avella.p@libero.it.
Maria Chiara Brunese *Department of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100, Campobasso, Italy.
Salvatore SpieziaHepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Caserta, Italy. salvatorespiezia00@gmail.com.
Giustiniano IngleseDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100, Campobasso, Italy.
Paolo BiancoHepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Caserta, Italy.
Francesco StanzioneGeneral Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Italy.
Giulia VarrianoDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100, Campobasso, Italy.
Salvatore CappabiancaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138, Caserta, Italy.
Fulvio CaliseHepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Caserta, Italy.
Aldo Rocca *Hepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, 81030, Castel Volturno, Caserta, Italy.
Luca Brunese *Department of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100, Campobasso, Italy.

Funding

Università degli Studi del Molise National Plan for NRRP Complementary Investments D3 4 Health: Digital Driven DiagnosticsUniversità degli Studi del Molise prognosticsUniversità degli Studi del Molise therapeutics for sustainable Health care.
6 · The paper itself

Abstract

Patient-specific three-dimensional (3D)-printed models are increasingly used to optimize preoperative planning in complex hepatopancreatobiliary (HPB) surgery. This single-center study evaluated their anatomical accuracy, clinical utility, cost efficiency, and educational value for surgical planning and training. Three patients with complex HPB lesions (pancreatic head adenocarcinoma, ampullary carcinoma, and giant hepatic hemangioma) were selected based on lesion size (> 3 cm) and suspected vascular or biliary involvement. Imaging data were segmented to produce multicolored 3D-printed models, which were used for preoperative simulation and surgical team training. An educational study was also conducted: 56 medical students were randomized to traditional learning (control) or to learning with a 3D-printed model (experimental) before completing an anatomy quiz. In parallel, a systematic review of the literature up to October 8, 2025, was conducted to evaluate the current evidence on the impact and applications of 3D printing in HPB surgery. All patient-specific 3D-printed models reproduced each patient's anatomy, including tumors and their spatial relationships to vasculature and bile ducts. Model production required ~ 33 h on average, and material cost was ~ €55 per model. Students exposed to 3D-printed models scored higher on anatomy quizzes, indicating significantly better 3D spatial understanding than controls (p < 0.001). The systematic review identified 14 studies (2014-2024; 218 patients), confirming that 3D printing improves anatomical understanding, surgical planning, and education while remaining cost-effective. Patient-specific 3D-printed models enhance surgeons' understanding of complex anatomy, enable personalized operative planning, and advance surgical education in HPB surgery, offering a cost-effective, high-fidelity tool with promising clinical and educational impact.

Indexed as

Digestive System Surgical ProceduresModels, AnatomicPreoperative CarePrinting, Three-DimensionalCost-Benefit AnalysisCosts and Cost AnalysisHumansPilot Projects3D printingAnatomical modelHepatopancreatobiliary surgeryMedical educationPreoperative planningSurgical simulation

Identifiers

PMID41973160
PMCPMC13368967

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.