Evidence map›Paper›PMID 34261044›Full record

ArticlePhysics in medicine and biology2021

CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment.

Phuong Vincent, Matthew E Maeder, Brady Hunt, Bryan Linn, Tiffany Mangels-Dick, Tayyaba Hasan, Kenneth K Wang, Brian W Pogue

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 20 citations in OpenAlex.

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  13. Critical PDT theory II: Current concepts and indications.Photodiagnosis and photodynamic therapy · 2022
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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

8 authors at 4 institutions in 1 country.

Phuong VincentThayer School of Engineering, Dartmouth College, Hanover NH 03755, United States of America.ORCID 0000-0002-2266-4508
Matthew E MaederDartmouth-Hitchcock Department of Radiology, Lebanon NH 03756, United States of America.
Brady HuntThayer School of Engineering, Dartmouth College, Hanover NH 03755, United States of America.
Bryan LinnDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, United States of America.
Tiffany Mangels-DickDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, United States of America.
Tayyaba HasanWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston MA 02114, United States of America.
Kenneth K WangDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, United States of America.
Brian W PogueThayer School of Engineering, Dartmouth College, Hanover NH 03755, United States of America.
Dartmouth College · USMayo Clinic in Arizona · USDartmouth–Hitchcock Medical Center · USHarvard University · US

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Bryan Quilty Spring · 2001 to 2026
$27.9M
NCI NIH HHS P01 CA084203
6 · The paper itself

Abstract

Photodynamic therapy (PDT) offers localized focal ablation in unresectable pancreatic tumors while tissues surrounding the treatment volume experience a lower light dose, termed photodynamic priming (PDP). While PDP does not cause tissue damage, it has been demonstrated to promote vascular permeability, improve drug delivery, alleviate tumor cell density, and reduce desmoplasia and the resultant internal pressure in pre-clinical evaluation. Preclinical data supports PDP as a neoadjuvant therapy beneficial to subsequent chemotherapy or immunotherapy, yet it is challenging to quantify PDP effects in clinical treatment without additional imaging and testing. This study investigated the potential of radiomic analysis using CT scans acquired before and after PDT to identify areas experiencing PDT-induced necrosis as well as quantify PDP effects in the surrounding tissues. A total of 235 CT tumor slices from seven patients undergoing PDT for pancreatic tumors were examined. Radiomic features assessed included intensity metrics (CT number in Hounsfield Units) and texture analysis using several gray-level co-occurrence matrix (GLCM) parameters. Pre-treatment scans of tumor areas that resulted in PDT-induced necrosis showed statistically significant differences in intensity and texture-based features that could be used to predict the regions that did respond (paired t-test, response versus no response,

Indexed as

AdenocarcinomaPancreatic NeoplasmsHumansNeoadjuvant TherapyRetrospective StudiesROC CurveTomography, X-Ray ComputedCT texture analysispancreatic cancerphotodynamic therapyradiomics

Identifiers

PMID34261044
PMCPMC10322215
OpenAlexW3180934265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.