Table · dataset · 2026
Data Sheet 1_Three-dimensional virtual reconstruction combined with the S.T.O.N.E. score improves outcomes of PCNL: a multicenter study.docx
Listed in HKU DataHub and figshare and Loughborough Research Repository — shown once because both records carry DOI 10.3389/fsurg.2026.1880578
Objective<p>To evaluate the impact of three-dimensional visualization virtual reconstruction (3D-VR) combined with the S.T.O.N.E. score on the efficacy of percutaneous nephrolithotomy (PCNL).</p>Methods<p>A prospective cohort study enrolled patients with kidney stones from six centers between July 2022 and July 2025.
Description
Participants were divided into a conventional ultrasound-guided control group and a 3D-VR group based on the surgical strategy selected by patients after informed consent.
The latter group was further subdivided into a Simple 3D-VR group and a 3D-VR-Template group. Each group was further categorized into low-to-moderate risk (S.T.O.N.E. score ≤ 9) and high-risk (S.T.O.N.E. score > 9) subgroups. Perioperative indicators were compared, and the relationship between scores and stone-free rates was analyzed using logistic regression.
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Stratified multivariable logistic regression analyses were performed to compare 3D-VR techniques against the conventional ultrasound-guided control group across risk-based subgroups (P < 0.05).</p>Results<p>No baseline differences were observed among the three groups. Compared with the conventional ultrasound-guided control group, the Simple 3D-VR group alone demonstrated reduced intraoperative blood loss, shorter nephroscopic access establishment time, and shorter hospital stay (P < 0.05).
The 3D-VR-Template group showed further reductions in these indicators and a significantly higher stone-free rate (P < 0.05). No statistically significant differences existed between the two 3D technology groups. S.T.O.N.E. score > 9 was an independent risk factor for low stone-free rate (OR = 2.31, 95%CI: 1.12–4.76, P = 0.02).
Stratified analysis revealed that while the Simple 3D-VR technique doubled stone-free rate in low-to-moderate risk patients (OR = 2.07, 95%CI: 1.04–4.03, P = 0.039), the 3D-VR-Template technology provided a superior fourfold advantage (OR = 4.15, 95%CI: 1.07–6.14, P = 0.040) specifically in high-risk cases.</p>Conclusion<p>Combining 3D-VR with S.T.O.N.E. scoring may optimize PCNL surgical planning, reduce intraoperative bleeding and shorten hospital stay, and may improve stone-free rate especially in patients with high-risk complex stones.
Further well-designed controlled studies are warranted to confirm its clinical value.</p>
Links
Where it is published
- DOI doi.org/10.3389/fsurg.2026.1880578 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Surgery · Surgery · Surgery
- Inferred from text
- Longitudinal study 65%
Related
Provenance · 3 source records, 33 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34009797 | 11 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34009797 | 10 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34009797 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:field:320226 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Surgery'] |
| concepts[field].anzsrc:field:320226 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Surgery'] |
| concepts[field].anzsrc:field:320226 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Surgery'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · datahub hku hk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |