Evidence map›Paper›PMID 42395523›Full record

ArticlebioRxiv : the preprint server for biology2026

3D Passive Cavitation Mapping (3D-PCM) with a Large-aperture Planar Array.

Chaorui Qiu, Daiwei Li, Haoming Huo, Arpit Mishra, Chenhang Li, Kaiping Yin, Nanchao Wang, Junqin Chen, Rui Yao, Ezra J Margolin and 4 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Chaorui QiuDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0001-9276-2018
Daiwei LiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708 USA.ORCID 0000-0002-0423-6390
Haoming HuoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708 USA.ORCID 0009-0002-0958-210X
Arpit MishraDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0001-5207-937X
Chenhang LiDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0001-5982-7908
Kaiping YinDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0009-0000-2436-9572
Nanchao WangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708 USA.ORCID 0000-0002-5037-4145
Junqin ChenDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0003-2653-1814
Rui YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708 USA.
Ezra J MargolinDepartment of Urology, School of Medicine, Duke University, Durham, NC 27708 USA.
Michael LipkinDepartment of Urology, School of Medicine, Duke University, Durham, NC 27708 USA.ORCID 0000-0001-7226-7706
Pei ZhongDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0002-2368-6151
Xiaoyue NiDepartment of Mechanical Engineering and Materials, Duke University, Durham, NC 27708 USA.ORCID 0000-0002-1822-1122
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708 USA.ORCID 0000-0002-2381-706X

Funding

INNOVATIONS IN SHOCK WAVE LITHOTRIPSY TECHNOLOGYR01DK052985 · NIDDK · DUKE UNIVERSITY · PI ZHONG, PEI · 1997 to 2025
$6.1M
DART.3-Revolutionizing Neuropsychiatric Treatment through Noninvasive, Programmable Cell-Type-Specific NeuropharmacologyR01MH135932 · NIMH · DUKE UNIVERSITY · PI Michael R Tadross · 2024 to 2026
$4.4M
High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
3D real-time super-resolution cavitation mapping in laser lithotripsy of urinary stone diseaseR01DK139109 · NIDDK · DUKE UNIVERSITY · PI Michael E Lipkin, Junjie Yao · 2024 to 2026
$1.8M
Real-Time, Longitudinal, Functional Brain Imaging via 4D Smart Epidermal Photoacoustic TomographyR01EB037095 · NIBIB · DUKE UNIVERSITY · PI Xiaoyue Ni · 2026 to 2026
$801k
NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R01 EB037095NIDDK NIH HHS R01 DK052985NIDDK NIH HHS R01 DK139109NIMH NIH HHS R01 MH135932NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Urinary stone disease is a common urological condition with increasing incidence, particularly in developed countries. Laser lithotripsy (LL) has become a preferred minimally invasive treatment due to its high precision and low tissue damage. Recent studies suggest that cavitation plays a critical role in stone damage during LL, and three-dimensional passive cavitation mapping (3D-PCM) has emerged as a promising tool for detecting these events. However, clinical translation of 3D-PCM remains challenging due to limitations in imaging depth, field of view (FOV), and procedural compatibility. Here, we present a large-FOV dual-modality imaging system (3D-PCM and B-mode ultrasound) based on a large-aperture planar ultrasound array. Through array optimization and model-based reconstruction, our system achieves an expanded FOV of ~40 × 40 mm

Indexed as

2D planar array3D passive cavitation mapping (3D-PCM)Laser lithotripsy (LL)Urinary stone disease

Identifiers

PMID42395523
PMCPMC13321054

What OpenQuestion holds

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Registered trials

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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.