Evidence map›Paper›PMID 31052289›Full record

ArticleCancers2019

Early Changes in CT Perfusion Parameters: Primary Renal Carcinoma Versus Metastases After Treatment with Targeted Therapy.

Alice C Fan, Vandana Sundaram, Aya Kino, Heiko Schmiedeskamp, Thomas J Metzner, Aya Kamaya

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
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

6 authors at 2 institutions in 1 country.

Alice C FanDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Vandana SundaramQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94304, USA.
Aya KinoDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Heiko SchmiedeskampSiemens Medical Solutions USA, Inc., Malvern, PA 19355, USA.
Thomas J MetznerDepartment of Urology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Aya KamayaStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford University · USSiemens Healthcare (United States) · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Conquer Cancer Foundation CDANCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

Computed tomography (CT) perfusion is a novel imaging method to determine tumor perfusion using a low-dose CT technique to measure iodine concentration at multiple time points. We determined if early changes in perfusion differ between primary renal tumors and metastatic tumor sites in patients with renal cell carcinoma (RCC) receiving targeted anti-angiogenic therapy. A total of 10 patients with advanced RCC underwent a CT perfusion scan at treatment baseline and at one week after initiating treatment. Perfusion measurements included blood volume (BV), blood flow (BF), and flow extraction product (FEP) in a total of 13 lesions (six primary RCC tumors, seven RCC metastases). Changes between baseline and week 1 were compared between tumor locations: primary kidney tumors vs metastases. Metastatic lesions had a greater decrease in BF (average BF difference ± standard deviation (SD): -75.0 mL/100 mL/min ± 81) compared to primary kidney masses (-25.5 mL/100 mL/min ± 35). Metastatic tumors had a wider variation of change in BF, BV and FEP measures compared to primary renal tumors. Tumor diameters showed little change after one week, but early perfusion changes are evident, especially in metastatic lesions compared to primary lesions. Future studies are needed to determine if these changes can predict which patients are benefiting from targeted therapy.

Indexed as

biomarkerCT perfusionmetastasesrenal cell carcinomatargeted therapytherapeutic response

Identifiers

PMID31052289
PMCPMC6562747
OpenAlexW2943268552

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.