Evidence map›Paper›PMID 31493211›Full record

ArticleEuropean radiology2020

Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer.

Si Gao, Siyao Du, Zaiming Lu, Jun Xin, Song Gao, Hongzan Sun

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Precision matters: the value of PET/CT and PET/MRI in the clinical management of cervical cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. The use of PET/MRI in radiotherapy.Insights into imaging · 2024
    Review
  13. Article
  14. Predictive value of clinical andScientific reports · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Si GaoDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Siyao DuDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Zaiming LuDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Jun XinDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Song GaoDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Hongzan SunDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China. sunhongzan@126.com.ORCID http://orcid.org/0000-0002-4724-5828
China Medical University · CNLiaoning Provincial People's Hospital · CN

Funding

LIAONING Science & Technology Project 2017225012National Natural Science Foundation of China 81401438
6 · The paper itself

Abstract

objectivesTo assess the value of

methodsFifty-one patients with LACC underwent pelvic PET/MR scans with an IVIM sequence at two time-points (pretreatment [pre] and midtreatment [mid]). Pre- and mid-PET parameters (SUV

resultsThirty-two patients were classified into the good response (GR) group with TESR ≥ 50%, and 19 patients were categorized into the poor response (PR) group with TESR < 50%. Δ%D (p = 0.013) and Δ%F (p = 0.006) are independently related to TESR with superior combined diagnostic ability (AUC = 0.901). Pre-TLG, Δ%D, and suspicious lymph node metastasis (SLNM) were selected for the construction of the combined prediction model. The model for identifying the patients with high risk of tumor recurrence reached a moderate predictive ability and good stability with c-index of 0.764 (95% CI, 0.672-0.855).

conclusionThe combined prediction model based on pretreatment PET metabolic parameter (pre-TLG), IVIM-D percentage changes, and LNs status provides great potential to identify the LACC patients with high risk of recurrence at early stage of CCRT. KEY POINTS: • PET/MR plus IVIM offers various complementary information for LACC. • IVIM-D and IVIM-F percentage changes are independently related to tumor early shrinkage rates. • The combined prediction model can help identify the LACC patients with high risk of tumor recurrence.

Indexed as

AdultAgedChemoradiotherapyFemaleFluorodeoxyglucose F18HumansLymphatic MetastasisMiddle AgedMultiparametric Magnetic Resonance ImagingNeoplasm Recurrence, LocalPelvisPositron-Emission TomographyTreatment OutcomeUterine Cervical NeoplasmsFluorodeoxyglucose F18Cervical cancerConcurrent chemoradiotherapyDiffusion magnetic resonance imagingPositron emission tomography

Identifiers

PMID31493211
OpenAlexW2972052085

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.