Evidence map›Paper›PMID 27896628›Full record

ArticleMolecular imaging and biology2017

Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI.

Kyle M Jones, Edward A Randtke, Eriko S Yoshimaru, Christine M Howison, Pavani Chalasani, Robert R Klein, Setsuko K Chambers, Phillip H Kuo, Mark D Pagel

Open access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 101 citations in OpenAlex.

  1. Review
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  7. Interactions Between Active Matters and Endogenous Fields.Advanced materials (Deerfield Beach, Fla.) · 2025
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5 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Kyle M JonesBiomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Edward A RandtkeDepartment of Medical Imaging, University of Arizona, 1515 N. Campbell Ave., Tucson, AZ, 85724-5024, USA.
Eriko S YoshimaruUniversity of Arizona Cancer Center, Tucson, AZ, USA.
Christine M HowisonDepartment of Medical Imaging, University of Arizona, 1515 N. Campbell Ave., Tucson, AZ, 85724-5024, USA.
Pavani ChalasaniDivision of Hematology-Oncology, University of Arizona, Tucson, AZ, USA.
Robert R KleinDepartment of Pathology, University of Arizona, Tucson, AZ, USA.
Setsuko K ChambersUniversity of Arizona Cancer Center, Tucson, AZ, USA.
Phillip H KuoBiomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Mark D PagelBiomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA. mpagel@u.arizona.edu.
University of Arizona · USUniversity of Arizona Cancer Center

Funding

Cardiovascular Biomedical Engineering Training GrantT32HL007955 · NHLBI · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2001 to 2020
$5.1M
Early phase clinical trial for imaging tumor acidosis in breast cancer patients using acidoCEST MRIR01CA197029 · NCI · UNIVERSITY OF ARIZONA · PI CARDENAS-RODRIGUEZ, JULIO · 2015 to 2016
$701k
NCI NIH HHS R01 CA197029NHLBI NIH HHS T32 HL007955
6 · The paper itself

Abstract

purposeWe optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis. PROCEDURES: A CEST-FISP MRI protocol was used to image a flank SKOV3 tumor model. Bloch fitting modified to include the direct estimation of pH was developed to generate parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high-grade invasive ductal carcinoma, and a patient with metastatic ovarian cancer. The acidoCEST MRI results of the patient with metastatic ovarian cancer were compared with DCE MRI and histopathology.

resultsThe pHe maps of a flank model showed pHe measurements between 6.4 and 7.4, which matched with the expected tumor pHe range from past acidoCEST MRI studies in flank tumors. In the patient with metastatic ovarian cancer, the average pHe value of three adjacent tumors was 6.58, and the most reliable pHe measurements were obtained from the right posterior tumor, which favorably compared with DCE MRI and histopathological results. The average pHe of the kidney showed an average pHe of 6.73 units. The patient with high-grade invasive ductal carcinoma failed to accumulate sufficient agent to generate pHe measurements.

conclusionsOptimized acidoCEST MRI generated pHe measurements in a flank tumor model and could be translated to the clinic to assess a patient with metastatic ovarian cancer.

Indexed as

Magnetic Resonance ImagingTranslational Research, BiomedicalAcidosisAnimalsCarcinoma, Ovarian EpithelialCell Line, TumorComputer SimulationDisease Models, AnimalHumansMiceNeoplasm MetastasisNeoplasms, Glandular and EpithelialOvarian NeoplasmsBloch fittingCancerCEST MRIpHRespiration gating

Identifiers

PMID27896628
PMCPMC6010170
OpenAlexW2557656272

What OpenQuestion holds

Textmetadata
LicenceTDM
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.