Evidence map›Paper›PMID 32948911›Full record

ArticleAbdominal radiology (New York)2020

Semi-automatic evaluation of baseline whole-body tumor burden as an imaging biomarker of

Qiong Zou, Ju Jiao, Min-Hong Zou, Ming-Zhao Li, Ting Yang, Lei Xu, Yong Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Head-to-head comparison betweenJournal of translational medicine · 2026
    Article
  4. Japanese journal of radiology · 2026
    Article
  5. Article
  6. A machine learning model incorporatingQuantitative imaging in medicine and surgery · 2025
    Article
  7. Article
  8. Multiple myeloma with diffuse uptake onQuantitative imaging in medicine and surgery · 2023
    Article
  9. The prognostic value ofFrontiers in oncology · 2023
    Article
  10. Review
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

7 authors at 1 institution in 1 country.

Qiong Zou *Department of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Ju Jiao *Department of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Min-Hong ZouDepartment of Medical Ultrasonics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China.
Ming-Zhao LiDepartment of Urology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China.
Ting YangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Lei XuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Yong ZhangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China. zy5040123@163.com.ORCID http://orcid.org/0000-0003-4041-6070
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe prognostic value of baseline tumor burden of prostate cancer was rarely studied. We aimed to evaluate the whole-body tumor burden of

methodsSimilar to metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of

resultsFifty-nine newly diagnosed prostate cancer patients were retrospectively analyzed. Semi-automatic quantification of whole-body tumor burden had excellent intra-observer and inter-observer consistency [all intra-class correlation coefficient (ICC) > 0.990]. wbPSMA-TV and wbTL-PSMA were 32.6 (range 1.0-3968.2) cm

conclusionsAs imaging biomarkers, wbPSMA-TV and wbTL-PSMA correlated with clinical characteristics significantly. High wbTL-PSMA or Gleason score was associated with shorter PFS of newly diagnosed prostate cancer independently.

Indexed as

Positron Emission Tomography Computed TomographyProstatic NeoplasmsBiomarkersEdetic AcidGallium IsotopesGallium RadioisotopesHumansMaleOligopeptidesReproducibility of ResultsRetrospective StudiesTumor BurdenBiomarkersEdetic Acidgallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesOligopeptidesMetabolic tumor parametersPET/CTProstate cancerProstate specific membrane antigen (PSMA)Tumor burden

Identifiers

PMID32948911
OpenAlexW3087009286

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.