ArticleJournal of surgical oncology2021
Acceptability of 3D-printed breast models and their impact on the decisional conflict of breast cancer patients: A feasibility study.
Article in Journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Three-dimensional printing-guided surgical localization in breast-conserving surgery: A systematic review of oncologic and aesthetic outcomes.Langenbeck's archives of surgery · 2026Pooled it
- Article
- The psychological impact of using 3D printing and imaging technology for patient education: a scoping review.3D printing in medicine · 2026Review
- 3D Bioprinting in Cancer Modeling and Biomedicine: From Print Categories to Biological Applications.ACS omega · 2024Review
- Multimodality Imaging for 3D Printing and Surgical Rehearsal in Complex Spine Surgery.Radiographics : a review publication of the Radiological Society of North America, Inc · 2024Article
- Satisfaction survey on a preoperative explanation method using three-dimensional breast imaging for breast cancer patients considering breast-conserving surgery.Surgery today · 2023Article
- Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: breast conditions.3D printing in medicine · 2023Article
- 3D printed model for triple negative inflammatory breast cancer.3D printing in medicine · 2022Article
- 3D-Printed Replica and Porcine Explants for Pre-Clinical Optimization of Endoscopic Tumor Treatment by Magnetic Targeting.Cancers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo evaluate the acceptability and impact of 3D-printed breast models (3D-BMs) on treatment-related decisional conflict (DC) of breast cancer patients.
methodsPatients with breast cancer were accrued in a prospective institutional review board-approved trial. All patients underwent contrast-enhanced breast magnetic resonance imaging (MRI). A personalized 3D-BM was derived from MRI. DC was evaluated pre- and post-3D-BM review. 3D-BM acceptability was assessed post-3D-BM review.
resultsDC surveys before and after 3D-BM review and 3D-BM acceptability surveys were completed by 25 patients. 3D-BM were generated in two patients with bilateral breast cancer. The mean patient age was 48.8 years (28-72). The tumor stage was Tis (7), 1 (8), 2 (8), and 3 (4). The nodal staging was 0 (19), 1 (7), and 3 (1). Tumors were unifocal (15), multifocal (8), or multicentric (4). Patients underwent mastectomy (13) and segmental mastectomy (14) with (20) or without (7) oncoplastic intervention. Neoadjuvant therapy was given to seven patients. Patients rated the acceptability of the 3D-BM as good/excellent in understanding their condition (24/24), understanding disease size (25/25), 3D-BM detail (22/25), understanding their surgical options (24/25), encouraging to ask questions (23/25), 3D-BM size (24/25), and impartial to surgical options (17/24). There was a significant reduction in the overall DC post-3D-BM review, indicating patients became more assured of their treatment choice (p = 0.002). Reduction post-3D-BM review was also observed in the uncertainty (p = 0.012), feeling informed about options (p = 0.005), clarity about values (p = 0.032), and effective (p = 0.002) Decisional Conflict Scale subscales.
conclusions3D-BMs are an acceptable tool to decrease DC in breast cancer patients.
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What OpenQuestion holds
Registered trials
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.