Evidence map›Paper›PMID 33492444›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2021

Prediction of treatment response in patients with locally advanced cervical cancer using midtreatment PET/MRI during concurrent chemoradiotherapy.

Radovan Vojtíšek, Jan Baxa, Petra Kovářová, Amira Almortaza, Petr Hošek, Emília Sukovská, Radek Tupý, Jiří Ferda, Jindřich Fínek

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. 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
  3. Article
  4. Article
  5. The use of PET/MRI in radiotherapy.Insights into imaging · 2024
    Review
  6. Review
  7. Treatment outcomes of MRI-guided adaptive brachytherapy in patients with locally advanced cervical cancer: institutional experiences.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Radovan VojtíšekDepartment of Oncology and Radiotherapy, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic. vojtisekr@fnplzen.cz.ORCID http://orcid.org/0000-0001-7318-7927
Jan BaxaDepartment of Imaging Methods, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Petra KovářováDepartment of Oncology and Radiotherapy, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Amira AlmortazaDepartment of Imaging Methods, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Petr HošekBiomedical Center, Faculty of Medicine in Pilsen, Charles University, alej Svobody 76, 32300, Pilsen, Czech Republic.
Emília SukovskáDepartment of Oncology and Radiotherapy, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Radek TupýDepartment of Imaging Methods, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Jiří FerdaDepartment of Imaging Methods, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Jindřich FínekDepartment of Oncology and Radiotherapy, Charles University in Prague, Faculty of Medicine and University Hospital in Pilsen, alej Svobody 80, 30460, Pilsen, Czech Republic.
Charles University · CZ

Funding

Lékařská Fakulta v Plzni, Univerzita Karlova CZ.02.1.01/0.0/0.0/17_048/0007280)
6 · The paper itself

Abstract

purposeWe aimed to find metabolic, functional or morphological characteristics of the tumor predicting failure to achieve complete metabolic remission (CMR) by the midtreatment PET/MRI (positron emission tomography/magnetic resonance imaging) in cervical cancer patients.

methodsWe evaluated 66 patients treated between August 2015 and November 2019 who underwent pretreatment staging, subsequent midtreatment evaluation, and definitive restaging 3 months after completing the whole treatment, all using PET/MRI. The pretreatment parameters (pre-SUVmax, pre-SUVmean, pre-MTV, pre-MTV‑S, pre-TLG, pre-TLG‑S [SUV: standard uptake value, MTV: metabolic tumor volume, TLG: total lesion glycolysis]), and the midtreatment parameters at week 5 during chemoradiotherapy (mid-SUVmax, mid-SUVmean, mid-MTV, mid-MTV‑S, mid-TLG and mid-TLG-S) were recorded. The value of ADC (apparent diffusion coefficient) was also measured. Furthermore, we recorded absolute and relative changes in all parameters-∆ and ∆%. We divided the whole group of patients into "responders" (CMR) and "non-responders" (non-CMR), and compared them on the basis of the parameters from pre-PET/MRI and mid-PET/MRI.

resultsA statistically significant difference in the evaluated parameters between responders and non-responders was found for the following parameters: mid-MTV, mid-TLG, mid-TLG‑S, mid-MTV‑S, mid-tumor size, and ∆%SUVmax. According to the ROC (receiver operating characteristic) analysis, mid-MTV‑S showed the best albeit moderate discrimination ability for the prediction of non-CMR. Significant mutual correlations of all variables, in particular between mid-MTV‑S and mid-TLG‑S and between mid-MTV and mid-TLG, were found (all p < 0.05).

conclusionOur study confirmed that when using the midtreatment PET/MRI we are able to identify metabolic parameters having the discrimination ability for the prediction of non-CMR. In particular mid-MTV‑S, mid-MTV, mid-tumor size, mid-TLG‑S, mid-TLG and ∆%SUVmax.

Indexed as

ChemoradiotherapyMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAdultAgedAntineoplastic Agents, AlkylatingArea Under CurveBrachytherapyCarcinoma, Squamous CellCisplatinFemaleHumansImage Processing, Computer-AssistedLymphatic IrradiationLymphatic MetastasisAntineoplastic Agents, AlkylatingCisplatinCervical cancerMagnetic resonance imagingPositron emission tomographyTreatment responseUterovaginal brachytherapy

Identifiers

PMID33492444
OpenAlexW3121255310

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.