Evidence map›Paper›PMID 36651956›Full record

ArticleEuropean radiology2023

Accuracy and reproducibility of a cone beam CT-based virtual parenchymal perfusion algorithm in the prediction of SPECT/CT anatomical and volumetric results during the planification of radioembolization for HCC.

Haytham Derbel, Mahdi Krichen, Julia Chalaye, Laetitia Saccenti, William Van der Sterren, Anne-Hilde Muris, Lionel Lerman, Athena Galletto, Youssef Zaarour, Alain Luciani and 2 more

Abstract read
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In one paragraph

Article in European radiology, 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
0.5field-weighted citation impact, top 40% 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, 6 citations in OpenAlex.

  1. Article
  2. Observational
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 5 institutions in 2 countries.

Haytham Derbel *Department of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France. haytham.derbel@aphp.fr.ORCID http://orcid.org/0000-0002-1714-0742
Mahdi Krichen *Department of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Julia ChalayeDepartment of Nuclear Medicine, Henri Mondor University Hospital, Assistance Publique, Créteil, France.
Laetitia SaccentiDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
William Van der SterrenClinical Science & Medical Affairs Department, Image Guided Therapy Systems (IGT-S), Philips Healthcare, Best, The Netherlands.
Anne-Hilde MurisClinical Science & Medical Affairs Department, Image Guided Therapy Systems (IGT-S), Philips Healthcare, Best, The Netherlands.
Lionel LermanDepartment of Nuclear Medicine, Henri Mondor University Hospital, Assistance Publique, Créteil, France.
Athena GallettoDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Youssef ZaarourDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Alain LucianiDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Hicham KobeiterDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Vania TacherDepartment of Radiology, Henri Mondor University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France.
Inserm · FRAssistance Publique – Hôpitaux de Paris · FRHôpitaux Universitaires Henri-Mondor · FRPhilips (Netherlands) · NLUniversité Paris-Est Créteil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate anatomical and volumetric predictability of a cone beam computed tomography (CBCT)-based virtual parenchymal perfusion (VPP) software for the single-photon-emission computed tomography (SPECT)/CT imaging results during the work-up for transarterial radioembolization (TARE) procedure in patients with hepatocellular carcinoma (HCC).

methodsVPP was evaluated retrospectively on CBCT data of patients treated by TARE for HCC.

resultsFifty-two CBCTs were performed in 33 included patients. Semi-quantitative evaluation showed a good concordance between actual

conclusionCBCT-based VPP software is accurate and reliable to predict KEY POINTS: • Virtual parenchymal perfusion (VPP) software is accurate and reliable in the prediction of

Indexed as

Carcinoma, HepatocellularEmbolization, TherapeuticLiver NeoplasmsAlgorithmsCone-Beam Computed TomographyHumansMicrospheresPerfusionReproducibility of ResultsRetrospective StudiesSoftwareTechnetium Tc 99m Aggregated AlbuminTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedYttrium RadioisotopesTechnetium Tc 99m Aggregated AlbuminYttrium RadioisotopesCone-beam computed tomographyHepatocellular carcinomaPerfusionSingle-photon emission computed tomographySoftware

Identifiers

PMID36651956
OpenAlexW4317212882

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.