ArticleEJNMMI research2017
Optimal MRI sequences for
Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pooled it
- PET/MRI in prostate cancer: a systematic review and meta-analysis.European journal of nuclear medicine and molecular imaging · 2021Pooled it
- Imaging for Metastasis in Prostate Cancer: A Review of the Literature.Frontiers in oncology · 2020Pooled it
- Metaanalysis ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Pooled it
- Assessment of 68Ga-PSMA-11 PET Accuracy in Localizing Recurrent Prostate Cancer: A Prospective Single-Arm Clinical Trial.JAMA oncology · 2019Trial
- Added Value of Whole-Body Diffusion-Weighted Imaging in Patients Undergoing Prostate-Specific Membrane Antigen Positron Emission Tomography.Journal of clinical medicine · 2025Article
- The Diagnostic Performance ofIranian journal of public health · 2024Review
- PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023Review
- International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023Article
- Article
- Article
- Summary of the First ISMRM-SNMMI Workshop on PET/MRI: Applications and Limitations.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Article
- Management of Metastatic Hormone-Sensitive Prostate Cancer (mHSPC): an Evolving Treatment Paradigm.Current treatment options in oncology · 2019Review
- PEG-coated and Gd-loaded fluorescent silica nanoparticles for targeted prostate cancer magnetic resonance imaging and fluorescence imaging.International journal of nanomedicine · 2019Article
- Does Extended PET Acquisition in PET/MRI Rectal Cancer Staging Improve Results?AJR. American journal of roentgenology · 2018Article
- Imaging Prostate Cancer With Prostate-Specific Membrane Antigen PET/CT and PET/MRI: Current and Future Applications.AJR. American journal of roentgenology · 2018Review
- Fluorodeoxyglucose positron-emission tomography-magnetic resonance hybrid imaging: An emerging tool for staging of cancer of the uterine cervix.World journal of nuclear medicineArticle
- Positron emission tomography in prostate cancer: An update on state of the art.Indian journal of urology : IJU : journal of the Urological Society of IndiaReview
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPET/MRI can be used for the detection of disease in biochemical recurrence (BCR) patients imaged with
resultsPSMA-positive foci were detected in 89.1% (49/55) of patients evaluated. Small FOV T2 performed best for lymph nodes and detected correlates for all PSMA-avid lymph nodes. DCE imaging performed the best for suspected prostate bed recurrence, detecting correlates for 87.5% (14/16) of PSMA-positive prostate bed foci. The 8-min PET acquisition performed better than the 3-min acquisition for lymph nodes smaller than 1 cm, detecting 100% (57/57) of lymph nodes less than 1 cm, compared to 78.9% (45/57) for the 3-min acquisition.
conclusionPSMA PET/MRI performed well for the detection of sites of suspected recurrent disease in patients with BCR. Of the MRI sequences obtained for localization, small FOV T2 images detected the greatest proportion of PSMA-positive abdominopelvic lymph nodes and DCE imaging detected the greatest proportion of PSMA-positive prostate bed foci. The 8-min PET acquisition was superior to the 3 min acquisition for detection of small lymph nodes.
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Registered trials
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.