Kjersti Vassmo Lund

  • Radiologist; MD
  • +47 22 78 12 04

Research interests/projects: DCE-MRI of cervical carcinoma

 

Publications 2020

Gaustad JV, Hauge A, Wegner CS, Simonsen TG, Lund KV, Hansem LMK, Rofstad EK (2020)
DCE-MRI of Tumor Hypoxia and Hypoxia-Associated Aggressiveness
Cancers (Basel), 12 (7)
DOI 10.3390/cancers12071979, PubMed 32698525

Hillestad T, Hompland T, Fjeldbo CS, Skingen VE, Salberg UB, Aarnes EK, Nilsen A, Lund KV, Evensen TS, Kristensen GB, Stokke T, Lyng H (2020)
MRI Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer
Cancer Res, 80 (18), 3993-4003
DOI 10.1158/0008-5472.CAN-20-0950, PubMed 32606004

Lund KV, Simonsen TG, Kristensen GB, Rofstad EK (2020)
DCE-MRI of locally-advanced carcinoma of the uterine cervix: Tofts analysis versus non-model-based analyses
Radiat Oncol, 15 (1), 79
DOI 10.1186/s13014-020-01526-2, PubMed 32293487

Publications 2019

Eriksson AG, Fallaas Dahl G, Nesbakken AJ, Lund KV, Amant F (2019)
Endometrial cancer during pregnancy: management strategies
Int J Gynecol Cancer, 29 (7), 1221-1224
DOI 10.1136/ijgc-2019-000756, PubMed 31434687

Lund KV, Simonsen TG, Kristensen GB, Rofstad EK (2019)
Pharmacokinetic analysis of DCE-MRI data of locally advanced cervical carcinoma with the Brix model
Acta Oncol, 58 (6), 828-837
DOI 10.1080/0284186X.2019.1580386, PubMed 30810443

Publications 2018

Simonsen TG, Lund KV, Hompland T, Kristensen GB, Rofstad EK (2018)
DCE-MRI-Derived Measures of Tumor Hypoxia and Interstitial Fluid Pressure Predict Outcomes in Cervical Carcinoma
Int J Radiat Oncol Biol Phys, 102 (4), 1193-1201
DOI 10.1016/j.ijrobp.2018.04.035, PubMed 29859790

Publications 2017

Lund KV, Simonsen TG, Kristensen GB, Rofstad EK (2017)
Pretreatment late-phase DCE-MRI predicts outcome in locally advanced cervix cancer
Acta Oncol, 56 (5), 675-681
DOI 10.1080/0284186X.2017.1294762, PubMed 28447564

Torheim T, Malinen E, Hole KH, Lund KV, Indahl UG, Lyng H, Kvaal K, Futsaether CM (2017)
Autodelineation of cervical cancers using multiparametric magnetic resonance imaging and machine learning
Acta Oncol, 56 (6), 806-812
DOI 10.1080/0284186X.2017.1285499, PubMed 28464746

Publications 2015

Lund KV, Simonsen TG, Hompland T, Kristensen GB, Rofstad EK (2015)
Short-term pretreatment DCE-MRI in prediction of outcome in locally advanced cervical cancer
Radiother Oncol, 115 (3), 379-85
DOI 10.1016/j.radonc.2015.05.001, PubMed 25998804

Publications 2014

Hagtvedt T, Seierstad T, Lund KV, Løndalen AM, Bogsrud TV, Smith HJ, Geier OM, Holte H, Aaløkken TM (2014)
Diffusion-weighted MRI compared to FDG PET/CT for assessment of early treatment response in lymphoma
Acta Radiol, 56 (2), 152-8
DOI 10.1177/0284185114526087, PubMed 24585944

Hompland T, Lund KV, Ellingsen C, Kristensen GB, Rofstad EK (2014)
Peritumoral interstitial fluid flow velocity predicts survival in cervical carcinoma
Radiother Oncol, 113 (1), 132-8
DOI 10.1016/j.radonc.2014.09.011, PubMed 25443501

Publications 2013

Andersen EK, Hole KH, Lund KV, Sundfør K, Kristensen GB, Lyng H, Malinen E (2013)
Pharmacokinetic parameters derived from dynamic contrast enhanced MRI of cervical cancers predict chemoradiotherapy outcome
Radiother Oncol, 107 (1), 117-22
DOI 10.1016/j.radonc.2012.11.007, PubMed 23333024

Publications 2011

Andersen EK, Hole KH, Lund KV, Sundfør K, Kristensen GB, Lyng H, Malinen E (2011)
Dynamic contrast-enhanced MRI of cervical cancers: temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance
Int J Radiat Oncol Biol Phys, 82 (3), e485-92
DOI 10.1016/j.ijrobp.2011.05.050, PubMed 22014954

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