Evidence map›Paper›PMID 37656041›Full record

ArticleRadiology. Imaging cancer2023

RECIST 1.1 Target Lesion Categorical Response in Metastatic Renal Cell Carcinoma: A Comparison of Conventional versus Volumetric Assessment.

Amanda J Gong, Kathleen Ruchalski, Hyun J Kim, Michael Douek, Antonio Gutierrez, Maitraya Patel, Victor Sai, Heidi Coy, Bianca Villegas, Steven Raman and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Imaging cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Amanda J GongFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0003-3078-606X
Kathleen RuchalskiFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0001-7988-8484
Hyun J KimFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0003-1225-3489
Michael DouekFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0002-0806-5277
Antonio GutierrezFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0002-0813-4025
Maitraya PatelFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0003-3329-3615
Victor SaiFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).
Heidi CoyFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).
Bianca VillegasFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).
Steven RamanFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).ORCID 0000-0003-0499-1676
Jonathan GoldinFrom the David Geffen School of Medicine, University of California, Los Angeles, Calif (A.J.G., K.R., H.J.K., M.D., A.G., M.P., V.S., H.C., S.R., J.G.); Department of Radiological Sciences, UCLA, Los Angeles, Calif (K.R., H.J.K., M.D., A.G., M.P., V.S., S.R., J.G.); and UCLA Center for Computer Vision and Imaging Biomarkers, 924 Westwood Blvd, Ste 615, Los Angeles, CA 90024 (A.J.G., H.J.K., H.C., B.V., J.G.).
Oklahoma State University Center for Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To investigate Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1) approximations of target lesion tumor burden by comparing categorical treatment response according to conventional RECIST versus actual tumor volume measurements of RECIST target lesions. Materials and Methods This is a retrospective cohort study of individuals with metastatic renal cell carcinoma enrolled in a clinical trial (from 2003 to 2017) and includes individuals who underwent baseline and at least one follow-up chest, abdominal, and pelvic CT study and with at least one target lesion. Target lesion volume was assessed by

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansResponse Evaluation Criteria in Solid TumorsRetrospective StudiesTomography, X-Ray ComputedKidneyMetastasesOncologyOutcomes AnalysisTumor ResponseUrinaryVolume Analysis

Identifiers

PMID37656041
PMCPMC10546365
OpenAlexW4386347950

What OpenQuestion holds

Textmetadata
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.