Evidence map›Paper›PMID 30421016›Full record

Observational studyEuropean radiology2019

Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy.

Catarina Dinis Fernandes, Ghazaleh Ghobadi, Henk G van der Poel, Jeroen de Jong, Stijn W T P J Heijmink, Ivo Schoots, Iris Walraven, Petra J van Houdt, Milena Smolic, Floris J Pos and 1 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in European radiology, 2019. 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 18% 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, 16 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Catarina Dinis FernandesDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-3967-5836
Ghazaleh GhobadiDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Henk G van der PoelDepartment of Urology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jeroen de JongDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Stijn W T P J HeijminkDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Ivo SchootsDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Iris WalravenDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Petra J van HoudtDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Milena SmolicDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Floris J PosDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Uulke A van der HeideDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. u.vd.heide@nki.nl.
The Netherlands Cancer Institute · NL

Funding

KWF Kankerbestrijding NKI 2013-5937
6 · The paper itself

Abstract

objectivesDiagnosis of radio-recurrent prostate cancer using multi-parametric MRI (mp-MRI) can be challenging due to the presence of radiation effects. We aim to characterize imaging of prostate tissue after radiation therapy (RT), using histopathology as ground truth, and to investigate the visibility of tumor lesions on mp-MRI.

methodsTumor delineated histopathology slides from salvage radical prostatectomy patients, primarily treated with RT, were registered to MRI. Median T2-weighted, ADC, K

resultsNineteen of the 21 included patients had tumor in the available histopathology slides. Recurrence was predominantly multifocal with large tumor foci seen after external beam radiotherapy, whereas these were small and sparse after low-dose-rate brachytherapy. MRI-based delineations missed small foci and slightly underestimated tumor extent. The combination of T2-weighted, ADC, K

conclusionsUsing high-resolution histopathology delineations, the real tumor extent and size were found to be underestimated on MRI. mp-MRI obtained the best performance in identifying tumor voxels. Appropriate margins around the visible tumor-suspected region should be included when designing focal salvage strategies. Recurrent tumor delineation guidelines are warranted. KEY POINTS: • Compared to the use of individual sequences, multi-parametric MRI obtained the best performance in distinguishing recurrent tumor from benign voxels. • Delineations based on mp-MRI miss smaller foci and slightly underestimate tumor volume of local recurrent prostate cancer. • Focal salvage strategies should include appropriate margins around the visible tumor.

Indexed as

AgedHistological TechniquesHumansMagnetic Resonance ImagingMaleMargins of ExcisionMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalProstatectomyProstatic NeoplasmsRetrospective StudiesSalvage TherapySeminal VesiclesTumor BurdenLocal neoplasm recurrenceMagnetic resonance imagingPathologyProstate CancerRadiotherapy

Identifiers

PMID30421016
PMCPMC6610274
OpenAlexW2900769039

What OpenQuestion holds

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LicenceCC BY
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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.