Evidence map›Paper›PMID 38049843›Full record

ArticleRadiation oncology (London, England)2023

Retrospective analysis of the

Ye Yang, Yu-Qin Pan, Min Wang, Song Gu, Wei Bao

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. A radiogenomics study onBMC cancer · 2025
    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

5 authors at 1 institution in 1 country.

Ye YangObstetrics and Gynecology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, 200080, 8615921055641, P.R. China.ORCID http://orcid.org/0000-0002-4180-2822
Yu-Qin PanSurgical Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Min Wang *General Surgery Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China. wangmin0501@hotmail.com.
Song Gu *Trauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 650 Xin Songjiang Road, Songjiang, Shanghai, 201620, P.R. China. Songgu2022@163.com.ORCID http://orcid.org/0000-0001-7012-0524
Wei Bao *Obstetrics and Gynecology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, 200080, 8615921055641, P.R. China. forever_chipper@163.com.
Shanghai Jiao Tong University · CN

Funding

Natural Science Foundation Shanghai Project 23ZR1451600
6 · The paper itself

Abstract

purposeThe study retrospectively analyzed the accuracy and predictive ability of preoperative integrated whole-body MATERIALS AND

methodsA total of 205 patients with endometrial cancer who underwent preoperative PET/CT at Shanghai General Hospital from January 2018 to December 2021 were retrospectively evaluated and last follow-up was June 2023. Our study evaluated the ability and optimal cutoff values of three metabolic and volumetric parameters-standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG)-to predict deep myometrial invasion (DMI), endocervical stroma invasion (ESI) and lymph node metastases (LNM) in endometrial cancer. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PET/CT were used to assess the diagnostic performance for the prediction.

resultsOur study demonstrated a significant relationship between SUVmax (11.29, 17.38, 9.47), SUVmean (5.20, 6.12, 4.49), MTV (38.15, 36.28, 33.79 ml), and TLG (199.30, 225.10, 156.40 g) on PET/CT and histologically confirmed DMI, ESI and LNM in endometrial carcinoma (EC), with sensitivity, specificity, accuracy, PPV, and NPV of 100%/100%/100%, 96.53%/98.89%/87.14%, 97.56%/99.02%/91.22%, 92.42%/92.85%/78.31%, and 100%/100%/100%, respectively. Our study showed a risk model based on optimal cutoff values for MTV and TLG of 19.6 ml/126.3 g, 20.54 ml/84.80 g and 24 ml/49.83 g to preoperatively predict DMI, ESI, and LNM, respectively, in endometrial carcinoma. The 4-year OS (HR) for Stage IA, IB, II, III and IV according to 2009 FIGO was 98.00% (0.22), 95.20% (0.04), 83.90% (0.18), 90.50% (0.09) and 60% (0.51). Accordingly, estimated 4-year DFS (HR) for the stage IA-III was 98% (0.02), 95.20% (0.05), 76.90% (0.27) and 76.30% (0.35), all the patients in stage IV occurred recurrence and progression.

conclusionThe present study showed patients with MTV > = 19.6 ml of MI and PET- positive LN with MTV cutoff > = 24 ml tended to predict poor OS and PFS in endometrial carcinoma. The cutoff of MTV and TLG in PET/CT assessment could be an independent prognostic factors to predict aggressive forms of EC.

Indexed as

Endometrial NeoplasmsPositron Emission Tomography Computed TomographyChinaFemaleFluorodeoxyglucose F18GlycolysisHumansLymphatic MetastasisPrognosisRadiopharmaceuticalsRetrospective StudiesRisk FactorsTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTDeep myometrial invasion (DMI)Endocervical stroma invasion (ESI)Endometrial cancerLymph node metastases (LNM)Metabolic Tumor volume (MTV)Standardized uptake value (SUV)Total lesion glycolysis (TLG)

Identifiers

PMID38049843
PMCPMC10696876
OpenAlexW4389305735

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.