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Biparametric MRI in prostate cancer during active surveillance: is it safe?
Published in:
European Radiology, 2024, v. 34, n. 10, p. 6217, doi. 10.1007/s00330-024-10770-z
By:
- Caglic, Iztok;
- Sushentsev, Nikita;
- Syer, Tom;
- Lee, Kang-Lung;
- Barrett, Tristan
Publication type:
Article
Expect the unexpected: investigating discordant prostate MRI and biopsy results.
Published in:
European Radiology, 2024, v. 34, n. 7, p. 4810, doi. 10.1007/s00330-024-10702-x
By:
- Stanzione, Arnaldo;
- Lee, Kang-Lung;
- Sanmugalingam, Nimalan;
- Rajendran, Ishwariya;
- Sushentsev, Nikita;
- Caglič, Iztok;
- Barrett, Tristan
Publication type:
Article
Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance.
Published in:
European Radiology, 2023, v. 33, n. 6, p. 3792, doi. 10.1007/s00330-023-09438-x
By:
- Sushentsev, Nikita;
- Rundo, Leonardo;
- Abrego, Luis;
- Li, Zonglun;
- Nazarenko, Tatiana;
- Warren, Anne Y.;
- Gnanapragasam, Vincent J.;
- Sala, Evis;
- Zaikin, Alexey;
- Barrett, Tristan;
- Blyuss, Oleg
Publication type:
Article
The potential of hyperpolarised 13C-MRI to target glycolytic tumour core in prostate cancer.
Published in:
European Radiology, 2022, v. 32, n. 10, p. 7155, doi. 10.1007/s00330-022-08929-7
By:
- Sushentsev, Nikita;
- McLean, Mary A.;
- Warren, Anne Y.;
- Brodie, Cara;
- Jones, Julia;
- Gallagher, Ferdia A.;
- Barrett, Tristan
Publication type:
Article
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.
Published in:
European Radiology, 2022, v. 32, n. 1, p. 680, doi. 10.1007/s00330-021-08151-x
By:
- Sushentsev, Nikita;
- Rundo, Leonardo;
- Blyuss, Oleg;
- Nazarenko, Tatiana;
- Suvorov, Aleksandr;
- Gnanapragasam, Vincent J;
- Sala, Evis;
- Barrett, Tristan
Publication type:
Article
MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences.
Published in:
European Radiology, 2021, v. 31, n. 7, p. 4908, doi. 10.1007/s00330-020-07545-7
By:
- Bura, Vlad;
- Caglic, Iztok;
- Snoj, Ziga;
- Sushentsev, Nikita;
- Berghe, Alexandra S.;
- Priest, Andrew N.;
- Barrett, Tristan
Publication type:
Article
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance.
Published in:
European Radiology, 2021, v. 31, n. 5, p. 2696, doi. 10.1007/s00330-020-07336-0
By:
- Caglic, Iztok;
- Sushentsev, Nikita;
- Gnanapragasam, Vincent J.;
- Sala, Evis;
- Shaida, Nadeem;
- Koo, Brendan C.;
- Kozlov, Vasily;
- Warren, Anne Y.;
- Kastner, Christof;
- Barrett, Tristan
Publication type:
Article
Complete resolution of a giant multilocular prostatic cystadenoma following androgen deprivation therapy: an illustrative case report.
Published in:
Oxford Medical Case Reports, 2021, v. 2021, n. 7, p. 1, doi. 10.1093/omcr/omab053
By:
- Sushentsev, Nikita;
- Rimmer, Yvonne;
- Barrett, Tristan
Publication type:
Article
Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.
Published in:
Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28069-2
By:
- Sushentsev, Nikita;
- McLean, Mary A.;
- Warren, Anne Y.;
- Benjamin, Arnold J. V.;
- Brodie, Cara;
- Frary, Amy;
- Gill, Andrew B.;
- Jones, Julia;
- Kaggie, Joshua D.;
- Lamb, Benjamin W.;
- Locke, Matthew J.;
- Miller, Jodi L.;
- Mills, Ian G.;
- Priest, Andrew N.;
- Robb, Fraser J. L.;
- Shah, Nimish;
- Schulte, Rolf F.;
- Graves, Martin J.;
- Gnanapragasam, Vincent J.;
- Brindle, Kevin M.
Publication type:
Article
Author Correction: Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.
Published in:
2022
By:
- Sushentsev, Nikita;
- McLean, Mary A.;
- Warren, Anne Y.;
- Benjamin, Arnold J. V.;
- Brodie, Cara;
- Frary, Amy;
- Gill, Andrew B.;
- Jones, Julia;
- Kaggie, Joshua D.;
- Lamb, Benjamin W.;
- Locke, Matthew J.;
- Miller, Jodi L.;
- Mills, Ian G.;
- Priest, Andrew N.;
- Robb, Fraser J. L.;
- Shah, Nimish;
- Schulte, Rolf F.;
- Graves, Martin J.;
- Gnanapragasam, Vincent J.;
- Brindle, Kevin M.
Publication type:
Correction Notice
Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.
Published in:
Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28069-2
By:
- Sushentsev, Nikita;
- McLean, Mary A.;
- Warren, Anne Y.;
- Benjamin, Arnold J. V.;
- Brodie, Cara;
- Frary, Amy;
- Gill, Andrew B.;
- Jones, Julia;
- Kaggie, Joshua D.;
- Lamb, Benjamin W.;
- Locke, Matthew J.;
- Miller, Jodi L.;
- Mills, Ian G.;
- Priest, Andrew N.;
- Robb, Fraser J. L.;
- Shah, Nimish;
- Schulte, Rolf F.;
- Graves, Martin J.;
- Gnanapragasam, Vincent J.;
- Brindle, Kevin M.
Publication type:
Article
Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.
Published in:
Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28979-1
By:
- Sushentsev, Nikita;
- McLean, Mary A.;
- Warren, Anne Y.;
- Benjamin, Arnold J. V.;
- Brodie, Cara;
- Frary, Amy;
- Gill, Andrew B.;
- Jones, Julia;
- Kaggie, Joshua D.;
- Lamb, Benjamin W.;
- Locke, Matthew J.;
- Miller, Jodi L.;
- Mills, Ian G.;
- Priest, Andrew N.;
- Robb, Fraser J. L.;
- Shah, Nimish;
- Schulte, Rolf S.;
- Graves, Martin J.;
- Gnanapragasam, Vincent J.;
- Brindle, Kevin M.
Publication type:
Article
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.
Published in:
Insights into Imaging, 2022, v. 13, n. 1, p. 1, doi. 10.1186/s13244-022-01199-3
By:
- Sushentsev, Nikita;
- Moreira Da Silva, Nadia;
- Yeung, Michael;
- Barrett, Tristan;
- Sala, Evis;
- Roberts, Michael;
- Rundo, Leonardo
Publication type:
Article
Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study.
Published in:
PLoS ONE, 2021, v. 16, n. 1, p. 1, doi. 10.1371/journal.pone.0245970
By:
- Sushentsev, Nikita;
- Kaggie, Joshua D.;
- Slough, Rhys A.;
- Carmo, Bruno;
- Barrett, Tristan
Publication type:
Article
Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia.
Published in:
2020
By:
- Nekliudov, Nikita A;
- Blyuss, Oleg;
- Cheung, Ka Yan;
- Petrou, Loukia;
- Genuneit, Jon;
- Sushentsev, Nikita;
- Levadnaya, Anna;
- Comberiati, Pasquale;
- Warner, John O;
- Tudor-Williams, Gareth;
- Teufel, Martin;
- Greenhawt, Matthew;
- DunnGalvin, Audrey;
- Munblit, Daniel;
- Greenhawt, Matt;
- Dunn Galvin, Audrey
Publication type:
journal article
MRI assessment of seminal vesicle involvement by prostate cancer using T2 signal intensity and volume.
Published in:
Abdominal Radiology, 2024, v. 49, n. 7, p. 2534, doi. 10.1007/s00261-024-04349-x
By:
- Zawaideh, Jeries P.;
- Caglic, Iztok;
- Sushentsev, Nikita;
- Priest, Andrew N.;
- Warren, Anne Y.;
- Carmisciano, Luca;
- Barrett, Tristan
Publication type:
Article
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.
Published in:
Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-92341-6
By:
- Sushentsev, Nikita;
- Rundo, Leonardo;
- Blyuss, Oleg;
- Gnanapragasam, Vincent J.;
- Sala, Evis;
- Barrett, Tristan
Publication type:
Article
The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer.
Published in:
Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-77331-4
By:
- Sushentsev, Nikita;
- Kaggie, Joshua D.;
- Buonincontri, Guido;
- Schulte, Rolf F.;
- Graves, Martin J.;
- Gnanapragasam, Vincent J.;
- Barrett, Tristan
Publication type:
Article
How and when should radiologists report T‐staging on MRI in patients with prostate cancer?
Published in:
BJU International, 2022, v. 130, n. 4, p. 434, doi. 10.1111/bju.15824
By:
- Sushentsev, Nikita;
- Barrett, Tristan;
- Warren, Anne Y.;
- Gnanapragasam, Vincent J.
Publication type:
Article
Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.
Published in:
Insights into Imaging, 2024, v. 15, n. 1, p. 1, doi. 10.1186/s13244-023-01594-4
By:
- Sushentsev, Nikita;
- Barrett, Tristan;
- Rundo, Leonardo
Publication type:
Article

Found: 20

Biparametric MRI in prostate cancer during active surveillance: is it safe?

Expect the unexpected: investigating discordant prostate MRI and biopsy results.

Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance.

The potential of hyperpolarised <sup>13</sup>C-MRI to target glycolytic tumour core in prostate cancer.

Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.

MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences.

MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance.

Complete resolution of a giant multilocular prostatic cystadenoma following androgen deprivation therapy: an illustrative case report.

Hyperpolarised <sup>13</sup>C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.

Author Correction: Hyperpolarised <sup>13</sup>C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.

Hyperpolarised <sup>13</sup>C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.

Hyperpolarised <sup>13</sup>C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.

Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.

Reproducibility of magnetic resonance fingerprinting-based T<sub>1</sub> mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study.

Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia.

MRI assessment of seminal vesicle involvement by prostate cancer using T2 signal intensity and volume.

MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.

The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T<sub>1</sub> relaxometry in patients with prostate cancer.

How and when should radiologists report T‐staging on MRI in patients with prostate cancer?

Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.