Evidence map›Paper›PMID 33825510›Full record

ArticleRadiology2021

Five-Minute Five-Sequence Knee MRI Using Combined Simultaneous Multislice and Parallel Imaging Acceleration: Comparison with 10-Minute Parallel Imaging Knee MRI.

Filippo Del Grande, Ali Rashidi, Rodrigo Luna, Marco Delcogliano, Steven E Stern, Danoob Dalili, Jan Fritz

Abstract read
PubMed Publisher
In one paragraph

Article in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 73 citations in OpenAlex.

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  5. HIMAC: HISTOGRAM-DRIVEN AND MASK-AWARE CONSISTENCY MODELS FOR MRI RECONSTRUCTION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026
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  8. Thin-slice 2D MR Imaging of the Shoulder Joint Using Denoising Deep Learning Reconstruction Provides Higher Image Quality Than 3D MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 4 countries.

Filippo Del GrandeFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).
Ali RashidiFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0001-5820-6990
Rodrigo LunaFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0002-8463-9279
Marco DelcoglianoFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0003-0220-0711
Steven E SternFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0003-4048-5121
Danoob DaliliFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0001-6872-2040
Jan FritzFrom the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (F.D.G., A.R., R.L., D.D.); Department of Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland (F.D.G.), Department of Orthopedic Surgery, Ospedale Regionale di Lugano, Lugano, Ticino, Switzerland (M.D.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Nuffield Orthopedic Center, Oxford University Hospitals NHS Foundation Trust, Oxford, England (D.D.); and Department of Radiology, Grossman School of Medicine, New York University, 660 1st Ave, 3rd Floor, Room 313, New York, NY 10016 (J.F.).ORCID 0000-0003-4456-3043
Johns Hopkins University · USBond University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Rapid knee MRI using combined simultaneous multislice (SMS) technique and parallel imaging (PI) acceleration can add value through reduced acquisition time but requires validation of clinical efficacy. Purpose To evaluate the performance of clinical fourfold SMS-PI-accelerated, 5-minute, five-sequence, multicontrast knee MRI protocols compared with standard twofold PI-accelerated, 10-minute knee MRI protocols. Materials and Methods Adults with painful knee conditions were prospectively enrolled from April 2018 to October 2019. Participants underwent fourfold SMS-PI-accelerated, 5-minute, turbo spin-echo (TSE) knee MRI and standard-of-care twofold PI-accelerated, 10-minute, TSE knee MRI at either 1.5 T or 3.0 T. Three radiologists independently evaluated the knee MRI studies for meniscal, tendinous, ligamentous, and osseocartilaginous injuries. Statistical analyses included k-based intermethod agreements and diagnostic performance testing.

Indexed as

AdultFemaleHumansImage EnhancementKnee InjuriesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesTime Factors

Identifiers

PMID33825510
OpenAlexW3150917953

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.