Evaluation of Medicine and Health (EVALMEDHELSE) 2023-2024


Research and innovation related to the fields of radiology.

Research group's organization

The Radiology research group under assessment is not a singular consolidated entity but consists of individual researchers from the Departments of Radiology at Møre and Romsdal Hospital Trust (HRM). Collaboration occurs on specific projects, with researchers having extensive external networks nationally and internationally. Key points about the researchers include:

  • Four researchers are medical physicists, including two senior consultants with doctoral degrees, one resident physician with a PhD, and a senior consultant who is a PhD student and part-time Associate Professor.
  • Two medical physicists with PhDs, one of whom works part-time as a research scientist, are also part of the group.
  • A medical engineer pursuing a PhD is included in the team.
  • In 2023, funding was secured for a 20% research assistant at the Department of Radiology, Ålesund Hospital.
  • The group features two radiographers with Master’s degrees, one of whom has recently become a research assistant, both contributing significantly to planning MRI protocols for research studies.

Research group's strategy

Our mission is to foster and advance research within the Departments of Radiology and across HMR. Our goal is to encourage more colleagues to participate in research endeavors. Leveraging our qualifications, we now offer necessary supervision to colleagues interested in research. Funding from HMR, the Central Norway Regional Health Authority, and the Norwegian University of Science and Technology (NTNU) has been crucial in establishing our current research environment.

Our focus lies in conducting high-quality clinical research with international impact. By generating new knowledge, we contribute to enhancing patient care and strengthening clinical practices. We also aim to cultivate a research culture by sharing our findings with colleagues, patients and the broader community.

Aksnessæther BY, Lund J, Myklebust T, Klepp OH, Skovlund E, Roth Hoff S, Solberg A. Second cancers in radically treated Norwegian prostate cancer patients. Acta Oncol. 2019;58(6):838-44. https://doi.org/10.1080/0284186x.2019.1581377


Aksnessæther BY, Myklebust T, Solberg A, Klepp OH, Skovlund E, Hoff SR, et al. In Reply to Sari et al. Int J Radiat Oncol Biol Phys. 2020;107(2):388-9. https://doi.org/10.1016/j.ijrobp.2020.02.027


Aksnessæther BY, Myklebust T, Solberg A, Klepp OH, Skovlund E, Hoff SR, et al. Second Cancers in Patients With Locally Advanced Prostate Cancer Randomized to Lifelong Endocrine Treatment With or Without Radical Radiation Therapy: Long-Term Follow-up of the Scandinavian Prostate Cancer Group-7 Trial. Int J Radiat Oncol Biol Phys. 2020;106(4):706-14. https://doi.org/10.1016/j.ijrobp.2019.11.027


Aksnessæther BY, Solberg A, Klepp OH, Myklebust T, Skovlund E, Hoff SR, et al. Does Prophylactic Radiation Therapy to Avoid Gynecomastia in Patients With Prostate Cancer Increase the Risk of Breast Cancer? Int J Radiat Oncol Biol Phys. 2018;101(1):211-6. https://doi.org/10.1016/j.ijrobp.2018.01.096


Bakke KM, Grøvik E, Meltzer S, Negård A, Holmedal SH, Mikalsen LTG, et al. Comparison of Intravoxel incoherent motion imaging and multiecho dynamic contrast-based MRI in rectal cancer. J Magn Reson Imaging. 2019;50(4):1114-24. https://doi.org/10.1002/jmri.26740


Bakke KM, Meltzer S, Grøvik E, Negård A, Holmedal SH, Gjesdal KI, et al. Sex Differences and Tumor Blood Flow from Dynamic Susceptibility Contrast MRI Are Associated with Treatment Response after Chemoradiation and Long-term Survival in Rectal Cancer. Radiology. 2020;297(2):352-60. https://doi.org/10.1148/radiol.2020200287


Berntsen EM, Stensjøen AL, Langlo MS, Simonsen SQ, Christensen P, Moholdt VA, Solheim O. Volumetric segmentation of glioblastoma progression compared to bidimensional products and clinical radiological reports. Acta Neurochir (Wien). 2020;162(2):379-87. https://doi.org/10.1007/s00701-019-04110-0


Digernes I, Grøvik E, Nilsen LB, Saxhaug C, Geier O, Reitan E, et al. Brain metastases with poor vascular function are susceptible to pseudoprogression after stereotactic radiation surgery. Adv Radiat Oncol. 2018;3(4):559-67. https://doi.org/10.1016/j.adro.2018.05.005


Digernes I, Nilsen LB, Grøvik E, Bjørnerud A, Løvland G, Vik-Mo E, et al. Noise dependency in vascular parameters from combined gradient-echo and spin-echo DSC MRI. Phys Med Biol. 2020;65(22):225020. https://doi.org/10.1088/1361-6560/abb71a


Dybvik JA, Fasmer KE, Ytre-Hauge S, Husby JHA, Salvesen Ø O, Stefansson IM, et al. MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. Insights Imaging. 2022;13(1):1. https://doi.org/10.1186/s13244-021-01133-z


Esmaeili M, Stensjøen AL, Berntsen EM, Solheim O, Reinertsen I. The Direction of Tumour Growth in Glioblastoma Patients. Sci Rep. 2018;8(1):1199. https://doi.org/10.1038/s41598-018-19420-z


Fasmer KE, Bjørnerud A, Ytre-Hauge S, Grüner R, Tangen IL, Werner HM, et al. Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer. Acta Radiol. 2018;59(8):1010-7. https://doi.org/10.1177/0284185117740932


Fasmer KE, Gulati A, Dybvik JA, Ytre-Hauge S, Salvesen Ø, Trovik J, et al. Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer. Eur Radiol. 2020;30(5):2443-53. https://doi.org/10.1007/s00330-019-06622-w


Grøvik E, Hoff SR. Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist". J Magn Reson Imaging. 2022;56(4):1077-8. https://doi.org/10.1002/jmri.28183


Grøvik E, Yi D, Iv M, Tong E, Nilsen LB, Latysheva A, et al. Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. NPJ Digit Med. 2021;4(1):33. https://doi.org/10.1038/s41746-021-00398-4


Grøvik E, Yi D, Iv M, Tong E, Rubin D, Zaharchuk G. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI. J Magn Reson Imaging. 2020;51(1):175-82. https://doi.org/10.1002/jmri.26766


Hjerkind KV, Ellingjord-Dale M, Johansson ALV, Aase HS, Hoff SR, Hofvind S, et al. Volumetric Mammographic Density, Age-Related Decline, and Breast Cancer Risk Factors in a National Breast Cancer Screening Program. Cancer Epidemiol Biomarkers Prev. 2018;27(9):1065-74. https://doi.org/10.1158/1055-9965.Epi-18-0151


Hoff SR, Myklebust T, Lee CI, Hofvind S. Influence of Mammography Volume on Radiologists' Performance: Results from BreastScreen Norway. Radiology. 2019;292(2):289-96. https://doi.org/10.1148/radiol.2019182684


Hovda T, Hoff SR, Larsen M, Romundstad L, Sahlberg KK, Hofvind S. True and Missed Interval Cancer in Organized Mammographic Screening: A Retrospective Review Study of Diagnostic and Prior Screening Mammograms. Acad Radiol. 2022;29 Suppl 1:S180-s91. https://doi.org/10.1016/j.acra.2021.03.022


Hovda T, Tsuruda K, Hoff SR, Sahlberg KK, Hofvind S. Radiological review of prior screening mammograms of screen-detected breast cancer. Eur Radiol. 2021;31(4):2568-79. https://doi.org/10.1007/s00330-020-07130-y


Jacob H, Dybvik JA, Ytre-Hauge S, Fasmer KE, Hoivik EA, Trovik J, et al. An MRI-Based Radiomic Prognostic Index Predicts Poor Outcome and Specific Genetic Alterations in Endometrial Cancer. J Clin Med. 2021;10(3). https://doi.org/10.3390/jcm10030538


Klungsøyr JA, Vagstad T, Ferle M, Drogset JO, Hoff SR, Dalen AF, et al. The novel arthroscopic subscapular quadriceps tendon-bone sling procedure provides increased stability in shoulder cadavers with severe glenoid bone loss. Knee Surg Sports Traumatol Arthrosc. 2021;29(1):170-80. https://doi.org/10.1007/s00167-020-05900-1


Kvisten M, Mikkelsen VE, Stensjøen AL, Solheim O, Van Der Want J, Torp SH. Microglia and macrophages in human glioblastomas: A morphological and immunohistochemical study. Mol Clin Oncol. 2019;11(1):31-6. https://doi.org/10.3892/mco.2019.1856


Larsen M, Aglen CF, Hoff SR, Lund-Hanssen H, Hofvind S. Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations. Eur Radiol. 2022;32(12):8238-46. https://doi.org/10.1007/s00330-022-08909-x


Larsen M, Aglen CF, Lee CI, Hoff SR, Lund-Hanssen H, Lång K, et al. Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program. Radiology. 2022;303(3):502-11. https://doi.org/10.1148/radiol.212381


Ma Z, Niu B, Phan TA, Stensjøen AL, Ene C, Woodiwiss T, et al. Stochastic growth pattern of untreated human glioblastomas predicts the survival time for patients. Sci Rep. 2020;10(1):6642. https://doi.org/10.1038/s41598-020-63394-w


Mikkelsen VE, Dai HY, Stensjøen AL, Berntsen EM, Salvesen Ø, Solheim O, Torp SH. MGMT Promoter Methylation Status Is Not Related to Histological or Radiological Features in IDH Wild-type Glioblastomas. J Neuropathol Exp Neurol. 2020;79(8):855-62. https://doi.org/10.1093/jnen/nlaa060


Mikkelsen VE, Stensjøen AL, Berntsen EM, Nordrum IS, Salvesen Ø, Solheim O, Torp SH. Histopathologic Features in Relation to Pretreatment Tumor Growth in Patients with Glioblastoma. World Neurosurg. 2018;109:e50-e8. https://doi.org/10.1016/j.wneu.2017.09.102


Mikkelsen VE, Stensjøen AL, Granli US, Berntsen EM, Salvesen Ø, Solheim O, Torp SH. Angiogenesis and radiological tumor growth in patients with glioblastoma. BMC Cancer. 2018;18(1):862. https://doi.org/10.1186/s12885-018-4768-9


Moe HK, Follestad T, Andelic N, Håberg AK, Flusund AH, Kvistad KA, et al. Traumatic axonal injury on clinical MRI: association with the Glasgow Coma Scale score at scene of injury or at admission and prolonged posttraumatic amnesia. J Neurosurg. 2020:1-12. https://doi.org/10.3171/2020.6.Jns20112


Moe HK, Vik A, Flusund AH, Stenberg J, Skandsen T, Moen KG. Letter to the editor: Grading of traumatic axonal injury on clinical MRI and functional outcome. Acta Neurochir (Wien). 2021;163(5):1443-4. https://doi.org/10.1007/s00701-021-04759-6


Nilsen LB, Digernes I, Grøvik E, Saxhaug C, Latysheva A, Geier O, et al. Responses in the diffusivity and vascular function of the irradiated normal brain are seen up until 18 months following SRS of brain metastases. Neurooncol Adv. 2020;2(1):vdaa028. https://doi.org/10.1093/noajnl/vdaa028


Ottesen JA, Yi D, Tong E, Iv M, Latysheva A, Saxhaug C, et al. 2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Front Neuroinform. 2022;16:1056068. https://doi.org/10.3389/fninf.2022.1056068


Stensjøen AL, Berntsen EM, Jakola AS, Solheim O. When did the glioblastoma start growing, and how much time can be gained from surgical resection? A model based on the pattern of glioblastoma growth in vivo. Clin Neurol Neurosurg. 2018;170:38-42. https://doi.org/10.1016/j.clineuro.2018.04.028


Stensjøen AL, Hommerstad A, Halvorsen S, Arheden H, Engblom H, Erlinge D, et al. Worst lead ST deviation and resolution of ST elevation at one hour for prediction of myocardial salvage, infarct size, and microvascular obstruction in patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention. Ann Noninvasive Electrocardiol. 2020;25(6):e12784. https://doi.org/10.1111/anec.12784


Tsuruda KM, Hofvind S, Akslen LA, Hoff SR, Veierød MB. Terminal digit preference: a source of measurement error in breast cancer diameter reporting. Acta Oncol. 2020;59(3):260-7. https://doi.org/10.1080/0284186x.2019.1669817


Willumsen JS, Flusund AH, Blomkvist GEG. When intracranial pressure is low. Tidsskr Nor Laegeforen. 2021;141(2021-17). https://doi.org/10.4045/tidsskr.21.0447


Yi D, Grøvik E, Tong E, Iv M, Emblem KE, Nilsen LB, et al. MRI pulse sequence integration for deep-learning-based brain metastases segmentation. Med Phys. 2021;48(10):6020-35. https://doi.org/10.1002/mp.15136


Ytre-Hauge S, Dybvik JA, Lundervold A, Salvesen Ø O, Krakstad C, Fasmer KE, et al. Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. J Magn Reson Imaging. 2018;48(6):1637-47. https://doi.org/10.1002/jmri.26184


Ytre-Hauge S, Esmaeili M, Sjøbakk TE, Grüner R, Woie K, Werner HM, et al. In vivo MR spectroscopy predicts high tumor grade in endometrial cancer. Acta Radiol. 2018;59(4):497-505. https://doi.org/10.1177/0284185117733297

"IMAGINE - Improved Diagnostics of Breast Cancer Using Artificial Intelligence", Møre and Romsdal Hospital Trust. The objective of this project is to develop AI methods that can automatically detect breast cancer in MRI images with high accuracy. No website. PI Endre Grøvik, PhD student Sam Narimani.

"Advantages and Disadvantages of Artificial Intelligence in BreastScreen Norway", Cancer Registry of Norway. Through retrospective studies we investigate advantages and disadvantages of using artificial intelligence in the assessment of screening mammograms in Norway. PI Solveig Hofvind, Cancer Registry of Norwya. Project member Solveit Roth Hoff. Website: https://www.kreftregisteret.no/en/Research/Projects/can-artificial-intelligence-increase-accuracy-and-effectivness-in-breast-cancer-screening/

"Patients with Traumatic Brain Injury: Mapping of Tramatic Axonal Injuries in Clinicl Neuroimaging Modlities and Their Importance in Predicting Long-Term Outcome", NTNU. The aim is to increase the knowledge of the important injury type Traumatic Axial Injury (TAI) in patients with cerebral injury, by exploring CT and MRI feature, developing a new scoring system for MRI findings in these patients, and to device a method to differentiate beween age-related white matter lesions and TAI lesions. PI Kent Gøran Moen, NTNU, PhD student Anne-Mari Flusund-Holte.

"Cardiac Magnetic Resonance Imaging for Detecting Early Cardiovascular Toxicity after Breast Cancer Treatment: A prospective study" (a substudy of the COBRA study, which is a collaboration between HMR, NTNU and St. Olavs Hospital), Møre and Romsdal Hospital Trust. The objective is to explore findings at cardiac magnetic resonance imaging (CMR) during the first year after radiation therapy with deep inspiration breath-hold (DIBH RT) ± trastuzumab/anthracycline for primarily operated left sided breast cancer. The findings from this study will add knowledge regarding the potential role of CMR in the early phase after modern breast cancer treatment.Currently only a Norwegian website exists:  https://www.stolav.no/kliniske-studier/hjerte-karsykdommer-etter-pustestyrt-stralebehandling 
Project members: Solveig Roth Hoff, Anne Line Stensjøen.This project is a substudy of “Acute and Long-term Cardiovascular Toxicity After Modern Radiotherapy for Breast Cancer”, with English information available on https://www.clinicaltrials.gov/study/NCT02541435 

"Advanced Imaging Biomarker in Endometrial Cancer", University of Bergen. Objectives: To identify and evaluate new imaging markers that may aid in the preoperative risk stratification and tailoring of treatment in endometrial cancer. PhD student Sigmund Ytre-Hauge. UiB omslag ENGLISH


NB! The Cristin links redirect to the Norwegian version of the page. In order to read the information in English, click "English" in the upper right corner of the Cristin page.

Members with a doctorate degree

Solveig Kristin Roth Hoff (Cristin, NTNU)

Endre Grøvik (Cristin , NTNU)

Sigmund Ytre-Hauge (Cristin)

Anne Line Stensjøen (Cristin)

PhD candidates

Anne-Mari Holte Flusund (Cristin, NTNU)

Sam Narimani (Cristin)

Sist oppdatert 05.02.2024