Evidence map›Paper›PMID 39223332›Full record

ArticleCommunications engineering2024

Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography.

Xihan Ma, Mousa Moradi, Xiaoyu Ma, Qinggong Tang, Moshe Levi, Yu Chen, Haichong K Zhang

Abstract read
In one paragraph

Article in Communications engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Label-free viability assessment ofBiomedical optics express · 2026
    Article
  5. Article
  6. Article
  7. Mobile Robotic Optical Coherence Tomography System for Ophthalmic Imaging in Clinical Environments.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2025
    Article
  8. Article
  9. Review
  10. New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.Translational vision science & technology · 2025
    Review
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xihan MaDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.ORCID http://orcid.org/0000-0003-1007-0910
Mousa MoradiDepartment of Biomedical Engineering, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0002-0020-7365
Xiaoyu MaDepartment of Biomedical Engineering, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0009-0005-7754-3278
Qinggong TangThe Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA.ORCID http://orcid.org/0000-0001-9499-5384
Moshe LeviDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA.
Yu ChenDepartment of Biomedical Engineering, University of Massachusetts, Amherst, MA, USA. yuchen@fjnu.edu.cn.ORCID http://orcid.org/0000-0003-3892-7664
Haichong K ZhangDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, USA. hzhang10@wpi.edu.ORCID http://orcid.org/0000-0002-1314-8456

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI PAUL G SPICER · 2013 to 2026
$68.2M
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
TUMOR RESISTANCE MECHANISMS TO ANTI-VEGF THERAPY IN PROSTATE CANCER (Sukyung Woo)P20GM103639 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FUNG, KAR-MING · 2012 to 2022
$21.3M
Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian CancerP20GM135009 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Javier Antonio Jo · 2022 to 2026
$13.6M
Autoimmune Drivers and Protectors Team Science (ADAPTS)U01AI176244 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI JUDITH A JAMES, Jeffrey C Rathmell · 2023 to 2026
$5.1M
Mentoring Translational Cancer Research in OklahomaP30GM154635 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Rajagopal Ramesh · 2024 to 2026
$4.3M
Automatic Wide-Field Optical Coherence Tomography for Assessment of Transplant Kidney ViabilityR01DK133717 · NIDDK · UNIVERSITY OF MASSACHUSETTS AMHERST · PI POTTER, STEVEN, TANG, QINGGONG · 2022 to 2025
$2.5M
Robotic Lung Ultrasound for Triage of COVID-19 Patients in a Resource-Limited EnvironmentDP5OD028162 · OD · WORCESTER POLYTECHNIC INSTITUTE · PI ZHANG, HAICHONG · 2019 to 2023
$2.3M
NCATS NIH HHS UL1 TR001453NIDDK NIH HHS R01 DK133717NIGMS NIH HHS P20 GM103639NIGMS NIH HHS P20 GM135009NIGMS NIH HHS P30 GM154635NIGMS NIH HHS U54 GM104938NIH HHS DP5 OD028162U.S. Department of Health & Human Services | National Institutes of Health (NIH) DK133717U.S. Department of Health & Human Services | National Institutes of Health (NIH) OD028162U.S. Department of Health & Human Services | National Institutes of Health (NIH) P20GM103639U.S. Department of Health & Human Services | National Institutes of Health (NIH) UL1TR001453
6 · The paper itself

Abstract

Optical coherence tomography (OCT) can be used to image microstructures of human kidneys. However, current OCT probes exhibit inadequate field-of-view, leading to potentially biased kidney assessment. Here we present a robotic OCT system where the probe is integrated to a robot manipulator, enabling wider area (covers an area of 106.39 mm by 37.70 mm) spatially-resolved imaging. Our system comprehensively scans the kidney surface at the optimal altitude with preoperative path planning and OCT image-based feedback control scheme. It further parameterizes and visualizes microstructures of large area. We verified the system positioning accuracy on a phantom as 0.0762 ± 0.0727 mm and showed the clinical feasibility by scanning ex vivo kidneys. The parameterization reveals vasculatures beneath the kidney surface. Quantification on the proximal convoluted tubule of a human kidney yields clinical-relevant information. The system promises to assess kidney viability for transplantation after collecting a vast amount of whole-organ parameterization and patient outcomes data.

Identifiers

PMID39223332
PMCPMC11368928

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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.