Hannu Aronen
M.D., M.Sc. (Eng), Ph.D.
Medical Imaging; Magnetic Resonance Imaging
Degrees and competences
- Licentiate of Medicine, University of Helsinki 18 Jan 1983
- M.Sc. (Diplomi-insinööri) Helsinki University of Technology, Department
- of Technical Physics 29 Nov 1988
- Doctor of Medical Sciences, University of Helsinki 8 Jun 1990
- Specialist in Radiology 26 Mar 1991
- Subspecialist in Medical Administration 3 Dec 2002
- Docent in Radiology, University of Helsinki 28 Dec 1995
- Docent in Functional Medical Imaging, Helsinki Univ. of Technology 1 Mar 1998
Current Tasks
- Professor and Chair of Radiology, University of Turku, Finland 1 Apr 2006
- Chief Radiologist (Ylilääkäri), Turku University Hospital 1 Jan 2009
Previous tasks
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In the mid-1980s I began to study
magnetic resonance flow phenomena using an experimental flow phantom. With the
help of a Fogarty grant from the NIH, I began MRI perfusion and diffusion work
under the supervision of Professors Bruce Rosen and Thomas Brady and in
collaboration with the late Associate Professor John Belliveau at the Harvard
Medical School-Massachusetts General Hospital NMR Center. We made two important scientific findings: high cerebral blood volume evaluated by MRI CBV imaging is strongly associated with the grade of human
gliomas (Aronen et al. Radiology 1994) and high cerebral blood volume is
associated with high glucose uptake evaluated by means of PET FDG studies,
indicating an association of capillary density and energy metabolism in human
gliomas (Aronen et al. Clinical Cancer Research 2000).
I continued my collaboration with the MGH NMR Center,particularly with Associate Professor Belliveau until he passed February 14, 2014. Upon returning to Finland in 1993 I immediately started my own research group, beginning in Helsinki, then in 1997 in Kuopio
and since 2007 also in Turku. We demonstrated the usefulness of magnetization transfer and spin locking
techniques in the characterization of head and neck tumors (Radiology
1996;200:369-375). We also evaluated MR imaging in the diagnosis of pelvic
inflammatory disease (Radiology 1999;210:209-216) and MR imaging of Achilles
tendon problems (AJR 1999;173:323-328, AJR 2000;175:251-260). We were able to
demonstrate the usefulness of combined perfusion and diffusion MR imaging in
acute (Stroke 1999;30:1583-1590 and Radiology 2000;217:886-894) and hyperacute
(Stroke 2005;36:44-49) stroke patients. We have addressed the potential of
perfusion MRI studies in the evaluation of coronary artery disease patients
(Circulation 1997;96:2859-2867) and myocardial viability (Radiology
2000;217:729-736). One important direction of our research has been the
comparison and combination of MEG and fMRI studies (Hum Brain Map 1999;8:13-27,
Radiology 2006;241:213-22). My research group has contributed to the
methodological development and evaluation of susceptibility contrast perfusion
(Mag Reson Med 2002;47:973-981) together with Professor Leif Østergaard (Århus University
Hospital). We have
developed and evaluated effective fMRI analysis methods based on contextual
clustering (IEEE T Med Imaging 2001;20:403-414 and NeuroImage 2001;13:459-471)
and permutation (NeuroImage 2006;32:654-664).
Together with Professor Synnöve
Carlson we have imaged the primarily frontoparietal network active during the
visuospatial (Cerebral Cortex 1998;8:743-752) and audiospatial (Cerebral Cortex
2000;10:889-898) working memory tasks. During the years 2002-2007 my
research group “Functional Brain Imaging Unit” was one of the six groups
forming the Helsinki Brain Research Centre, a Centre of Excellence funded by
the Academy of Finland and headed by Professor Risto
Näätänen.
A recent focus of my research has
been the MR imaging of prostate cancer. A part of the project is being carried
out in collaboration with the Turku PET Centre (J Nucl Med 2010;51:1676-83, Eur
J Radiol. 2012 Nov;81(11):2966-72, Acta
Oncol 2016;55:59-67). We
performed more than 800 research prostate MRI scans since 2010. We have
finalized two prospective registered clinical trials in Turku. (JMRI 2015;41:1116-1124, JMRI 2017;46:1089-1095)
and published 17 original articles on the subject. In our studies a short MRI
protocol consisting of T2-weighted and diffusion weighted imaging was shown to
be a very accurate tool for the detection and characterization of clinically
significant prostate cancer. Utilizing our preliminary version of algorithms
based on machine learning we have been able to develop semiautomatic methods
for the analysis of prostate cancer MRI data sets.
- Prospective comparison of 18F-PSMA-1007 PET/CT and MRI with histopathology as the reference standard for intraprostatic tumour detection and T-staging of high-risk prostate cancer (2025)
- European Journal of Nuclear Medicine and Molecular Imaging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Differences in Gut Microbiota Profiles and Microbiota Steroid Hormone Biosynthesis in Men with and Without Prostate Cancer (2024)
- European Urology Open Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Long‐Term Risk of Clinically Significant Prostate Cancer in Biopsy‐Negative Patients With Baseline Biparametric Prostate MRI (2024)
- Journal of Magnetic Resonance Imaging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Relaxation Along a Fictitious Field, continuous wave T1rho, adiabatic T1rho and adiabatic T2rho imaging of human gliomas at 3T: A feasibility study (2024)
- PLoS ONE
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Diagnosis of prostate cancer with magnetic resonance imaging in men treated with 5-alpha-reductase inhibitors (2023)
- World Journal of Urology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Discrepancies between Radiology Specialists and Residents in Fracture Detection from Musculoskeletal Radiographs (2023)
- Diagnostics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prostate cancer detection and segmentation on MRI using non-local mask R-CNN with histopathological ground truth (2023)
- Medical Physics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs (2022)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2022)
- Journal of Magnetic Resonance Imaging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Individualised non-contrast MRI-based risk estimation and shared decision-making in men with a suspicion of prostate cancer: protocol for multicentre randomised controlled trial (multi-IMPROD V.2.0) (2022)
- BMJ Open
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging–detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score (2022)
- European Urology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator (2022)
- European Urology Open Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Accurate Prostate Cancer Detection and Segmentation Using Non-Local Mask R-CNN With Histopathological Ground Truth (2021)
- International Journal of Radiation Oncology - Biology - Physics
(O2 Muu julkaisu ) - A Prospective Comparison of 18F-prostate-specific Membrane Antigen-1007 Positron Emission Tomography Computed Tomography, Whole-body 1.5 T Magnetic Resonance Imaging with Diffusion-weighted Imaging, and Single-photon Emission Computed Tomography/Computed Tomography with Traditional Imaging in Primary Distant Metastasis Staging of Prostate Cancer (PROSTAGE) (2021)
- European Urology Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD). (2021)
- European Urology Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study (2021)
- npj Precision Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Docetaxel chemotherapy response in PC3 prostate cancer mouse model detected by rotating frame relaxations and water diffusion (2021)
- NMR in Biomedicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - How to read biparametric MRI in men with a clinical suspicious of prostate cancer: Pictorial review for beginners with public access to imaging, clinical and histopathological database (2021)
- Acta Radiologica Open
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Negative Predictive Value of Biparametric Prostate Magnetic Resonance Imaging in Excluding Significant Prostate Cancer: A Pooled Data Analysis Based on Clinical Data from Four Prospective, Registered Studies (2021)
- European Urology Focus
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prospective comparison of 18F-PSMA-1007 PET/CT, whole-body MRI and CT in primary nodal staging of unfavourable intermediate- and high-risk prostate cancer (2021)
- European Journal of Nuclear Medicine and Molecular Imaging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )