Evidence map›Paper›PMID 32026157›Full record

Trial reportClinical and experimental medicine2020

Systemic treatment of the metastatic renal cell carcinoma: usefulness of the apparent diffusion coefficient of diffusion-weighted MRI in prediction of early therapeutic response.

Yulian Mytsyk, Serhiy Pasichnyk, Ihor Dutka, Ihor Dats, Dmytro Vorobets, Michał Skrzypczyk, Yerzhan Uteuliyev, Andrea Botikova, Katarina Gazdikova, Peter Kubatka and 2 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Clinical and experimental medicine, 2020. 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
0.9field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

12 authors at 8 institutions in 5 countries.

Yulian MytsykDepartment of Urology, Lviv National Medical University n.a. Danylo Halytsky, Pekarska Str. 69, Lviv, Ukraine.
Serhiy PasichnykDepartment of Urology, Lviv National Medical University n.a. Danylo Halytsky, Pekarska Str. 69, Lviv, Ukraine.
Ihor DutkaMedical center "Euroclinic", Lviv, Ukraine.
Ihor DatsDepartment of Radiology, Lviv National Medical University n.a. Danylo Halytsky, Lviv, Ukraine.
Dmytro VorobetsDepartment of Urology, Lviv National Medical University n.a. Danylo Halytsky, Pekarska Str. 69, Lviv, Ukraine.
Michał SkrzypczykDepartment of Urology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Yerzhan UteuliyevDepartment of Postgraduate Education and Research, Kazakhstan Medical University, Almaty, Kazakhstan.
Andrea BotikovaFaculty of Health and Social Work, Trnava University, Trnava, Slovakia.
Katarina GazdikovaDepartment of General Medicine, Faculty of Medicine, Slovak Medical University, Limbova 12, 8303, Bratislava, Slovakia.
Peter KubatkaDepartment of Medical Biology, Jessenius Faculty of Medicine in Martin, Comenius University, Martin, Slovakia.
Peter UrdzikDepartment of Gynaecology and Obstetrics, Faculty of Medicine, Pavol Jozef Safarik University and Louis Pasteur University Hospital, Tr. SNP 1, 04001, Kosice, Slovakia.
Peter KruzliakDepartment of Internal Medicine, Brothers of Mercy Hospital, Polni 553/3, 63900, Brno, Czech Republic. kruzliakpeter@gmail.com.ORCID http://orcid.org/0000-0002-7069-3784
Danylo Halytsky Lviv National Medical University · UAComenius University Bratislava · SKKazakhstan Medical University · KZPostgraduate School of Molecular Medicine · PLSlovak Medical University · SKUniversity Hospital Brno · CZUniversity of Pavol Jozef Šafárik · SKUniversity of Trnava · SK

Funding

Agentúra na Podporu Výskumu a Vývoja VEGA 1/0873/18
6 · The paper itself

Abstract

Accurate prediction of early treatment response to systemic therapy (ST) with tyrosine kinase inhibitors (TKI) in patients with metastatic renal cell carcinoma (mRCC) could help avoid ineffective and expensive treatment with serious side effects. Neither RECIST v.1.1 nor Choi criteria successfully discriminate between patients with mRCC who received ST having a short or long time to progression (TTP). There is no biomarker, which is able to predict early therapeutic response to TKIs application in patients with mRCC. The goal of our study was to investigate the potential of apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) of MRI in prediction of early therapeutic response to ST with pazopanib in patients with mRCC. The retrospective study enrolled 32 adult patients with conventional mRCC who received pazopanib (mean duration-7.5 ± 3.45). The mean duration of follow-up was 11.85 ± 4.34 months. In all patients as baseline examination and 1 month after treatment, 1.5T MRI including DWI sequence was performed followed by ADC measurement of the main renal lesion. For assessment of the therapeutic response, RECIST 1.1 is used. Partial response (PR), stable disease (SD) and progressive disease (PD) were observed in 12 (37.50%), 10 (31.25%) and 10 (31.25%) cases with mean TTP of 10.33 ± 2.06 months (95% confidence interval, CI = 9.05-11.61), 7.40 ± 2.50 months (95% CI = 5.61-9.19) and 4.20 ± 1.99 months (95% CI = 2.78-5.62) accordingly (p < 0.05). There was no difference in change of main lesions' longest size 1 month after ST in patients with PR, SD and PD. Comparison of mean ADC values before and 1 month after systemic treatment showed significant decrease by 19.11 ± 10.64% (95% CI = 12.35-25.87) and by 7.66 ± 6.72% (95% CI = 2.86-12.47) in subgroups with PR and SD, respectively (p < 0.05). There was shorter TTP in patients with mRCC if ADC of the main renal lesion 1 month after the ST increased from the baseline less than 1.73% compared to patients with ADC levels above this threshold: 5.29 ± 3.45 versus 9.50 ± 2.04 months accordingly (p < 0.001). Overall, our findings highlighted the use of ADC as a predictive biomarker for early therapeutic response assessment. Use of ADC will be effective and useful for reliable prediction of responders and non-responders to systemic treatment with pazopanib.

Indexed as

AgedAngiogenesis InhibitorsCarcinoma, Renal CellDiffusion Magnetic Resonance ImagingFemaleHealthy VolunteersHumansIndazolesKaplan-Meier EstimateKidneyKidney NeoplasmsMaleMiddle AgedPyrimidinesRetrospective StudiesROC CurveAngiogenesis InhibitorsIndazolespazopanibPyrimidinesSulfonamidesApparent diffusion coefficientDiffusion-weighted imagingEarly responseImaging biomarkerMRIPredictionProgressRenal cell carcinomaSystemic treatmentTargeted therapyTyrosine kinase inhibitor

Identifiers

PMID32026157
OpenAlexW3005284544

What OpenQuestion holds

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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.