Evidence map›Paper›PMID 37133518›Full record

ArticleEuropean radiology2023

Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas.

Felix N Harder, Eva Jung, Kilian Weiss, Markus M Graf, Omar Kamal, Sean McTavish, Anh T Van, Ihsan E Demir, Helmut Friess, Veit Phillip and 6 more

Open access · hybridAbstract read
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Imaging of the Liver and Pancreas: The Added Value of MRI.Diagnostics (Basel, Switzerland) · 2024
    Review
  4. Article
  5. 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

16 authors at 4 institutions in 3 countries.

Felix N HarderInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany. Felix.Harder@tum.de.
Eva JungInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Kilian WeissPhilips GmbH Market DACH, Röntgenstrasse 22, 22335, Hamburg, Germany.
Markus M GrafInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Omar KamalInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Sean McTavishInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Anh T VanInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Ihsan E DemirDepartment of Surgery, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Helmut FriessDepartment of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
Veit PhillipDepartment of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
Roland M SchmidDepartment of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
Fabian K LohöferInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Georgios A KaissisInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Marcus R MakowskiInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Dimitrios C KarampinosInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Rickmer F BrarenInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany. rbraren@tum.de.
Technical University of Munich · DEKlinikum rechts der Isar · DEImperial College London · GBPhilips (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the effect of high-b-value computed diffusion-weighted imaging (cDWI) on solid lesion detection and classification in pancreatic intraductal papillary mucinous neoplasm (IPMN), using endoscopic ultrasound (EUS) and histopathology as a standard of reference.

methodsEighty-two patients with known or suspected IPMN were retrospectively enrolled. Computed high-b-value images at b = 1000 s/mm

resultsHigh-b-value cDWI at b = 1000 s/mm

conclusionsHigh-b-value cDWI may improve the detection and classification of solid lesions in IPMN. Combining high-resolution imaging and high-b-value cDWI may further increase diagnostic precision. CLINICAL RELEVANCE STATEMENT: This study shows the potential of computed high-resolution high-sensitivity diffusion-weighted magnetic resonance imaging for solid lesion detection in pancreatic intraductal papillary mucinous neoplasia (IPMN). The technique may enable early cancer detection in patients under surveillance. KEY POINTS: • Computed high-b-value diffusion-weighted imaging (cDWI) may improve the detection and classification of intraductal papillary mucinous neoplasms (IPMN) of the pancreas. • cDWI calculated from high-resolution imaging increases diagnostic precision compared to cDWI calculated from conventional-resolution imaging. • cDWI has the potential to strengthen the role of MRI for screening and surveillance of IPMN, particularly in view of the rising incidence of IPMNs combined with now more conservative therapeutic approaches.

Indexed as

Pancreatic Intraductal NeoplasmsPancreatic NeoplasmsDiffusion Magnetic Resonance ImagingHumansPancreasRetrospective StudiesSignal-To-Noise RatioDiffusion magnetic resonance imaging, PancreasPancreatic neoplasms, Pancreatic cysts

Identifiers

PMID37133518
PMCPMC10511579
OpenAlexW4367834306

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.