Evidence map›Paper›PMID 41332576›Full record

ArticlebioRxiv : the preprint server for biology2025

Label-Free Hemodynamic Mapping via Ultrafast Power Doppler-Enhanced Photoacoustic Imaging reveals early therapy-induced functional changes in the tumor.

Deeksha M Sankepalle, Lucy Wei, Ronak Shethia, Pieter Kruzinga, Srivalleesha Mallidi

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 authors.

Deeksha M SankepalleDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Lucy WeiDepartment of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Ronak ShethiaDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Pieter KruzingaDepartment of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Srivalleesha MallidiDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.ORCID 0000-0003-1547-1764

Funding

Image-guided oxygen enhanced photodynamic therapy with multi-functional nanodroplets to improve head and neck cancer treatment outcomesR01CA266701 · NCI · TUFTS UNIVERSITY MEDFORD · PI Srivalleesha Mallidi · 2022 to 2026
$1.7M
Ultrasound and Photoacoustic Imaging (USPAI) SystemS10OD026844 · OD · TUFTS UNIVERSITY MEDFORD · PI MALLIDI, SRIVALLEESHA · 2020 to 2020
$600k
NCI NIH HHS R01 CA266701NIH HHS S10 OD026844
6 · The paper itself

Abstract

Real-time, non-invasive imaging of tumor vascular function is critical for assessing treatment response and informing therapeutic decisions. In this study, we present a dual-modality imaging approach that integrates Ultrafast power Doppler ultrasound (UPD) with multispectral photoacoustic (PA) imaging to quantify spatiotemporal changes in tumor oxygenation and perfusion following photodynamic therapy (PDT). Our results demonstrate that PDT induces dose- and time-dependent spatial heterogenic alterations in both oxygenation and perfusion. To better interpret the spatial interplay between tumor oxygenation and vascular perfusion, we developed a Vascular Function Index (VFI), which classifies tumor subregions into four functional quadrants based on perfusion and oxygenation status at every voxel within the 3D tumor region. This framework revealed dynamic, time-dependent changes in tumor hypoxia and perfusion, with high-dose treatment groups showing a progressive increase in hypoxic and non-perfused regions, underscoring the spatiotemporal nature of PDT-induced vascular response.

Identifiers

PMID41332576
PMCPMC12667761

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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.