2023
Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning
Hossain S, Hossain S, Avesta A, Nene A, Maresca R, Aneja S. Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e393. DOI: 10.1016/j.ijrobp.2023.06.1517.Peer-Reviewed Original ResearchBiochemical-free survivalSeminal vesicle invasionHigh-risk phenotypeExtraprostatic extensionProstate cancerHigh riskRadical prostatectomyProstate MRILower riskImaging biomarkersNon-invasive imaging biomarkersPost-treatment PSAUnderwent radical prostatectomyIntermediate-risk patientsDiscriminatory abilityLog-rank testAggressive prostate cancerProstate cancer patientsProstate cancer phenotypePersonalization of treatmentMATERIAL/METHODSGood discriminatory abilityMedian followTreatment escalationFree survival
2022
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
Kotanidis CP, Xie C, Alexander D, Rodrigues JCL, Burnham K, Mentzer A, O’Connor D, Knight J, Siddique M, Lockstone H, Thomas S, Kotronias R, Oikonomou EK, Badi I, Lyasheva M, Shirodaria C, Lumley SF, Constantinides B, Sanderson N, Rodger G, Chau KK, Lodge A, Tsakok M, Gleeson F, Adlam D, Rao P, Indrajeet D, Deshpande A, Bajaj A, Hudson BJ, Srivastava V, Farid S, Krasopoulos G, Sayeed R, Ho LP, Neubauer S, Newby DE, Channon KM, Deanfield J, Antoniades C, Consortium C, Ahern D, Ai Z, Ainsworth M, Allan C, Allcock A, Angus B, Ansari M, Arancibia-Cárcamo C, Aschenbrenner D, Attar M, Baillie J, Barnes E, Bashford-Rogers R, Bashyal A, Beer S, Berridge G, Beveridge A, Bibi S, Bicanic T, Blackwell L, Bowness P, Brent A, Brown A, Broxholme J, Buck D, Burnham K, Byrne H, Camara S, Ferreira I, Charles P, Chen W, Chen Y, Chong A, Clutterbuck E, Coles M, Conlon C, Cornall R, Cribbs A, Curion F, Davenport E, Davidson N, Davis S, Dendrou C, Dequaire J, Dib L, Docker J, Dold C, Dong T, Downes D, Drakesmith H, Dunachie S, Duncan D, Eijsbouts C, Esnouf R, Espinosa A, Etherington R, Fairfax B, Fairhead R, Fang H, Fassih S, Felle S, Mendoza M, Ferreira R, Fischer R, Foord T, Forrow A, Frater J, Fries A, Sanchez V, Garner L, Geeves C, Georgiou D, Godfrey L, Golubchik T, Vazquez M, Green A, Harper H, Harrington H, Heilig R, Hester S, Hill J, Hinds C, Hird C, Ho L, Hoekzema R, Hollis B, Hughes J, Hutton P, Jackson-Wood M, Jainarayanan A, James-Bott A, Jansen K, Jeffery K, Jones E, Jostins L, Kerr G, Kim D, Klenerman P, Knight J, Kumar V, Sharma P, Kurupati P, Kwok A, Lee A, Linder A, Lockett T, Lonie L, Lopopolo M, Lukoseviciute M, Luo J, Marinou S, Marsden B, Martinez J, Matthews P, Mazurczyk M, McGowan S, McKechnie S, Mead A, Mentzer A, Mi Y, Monaco C, Montadon R, Napolitani G, Nassiri I, Novak A, O'Brien D, O'Connor D, O'Donnell D, Ogg G, Overend L, Park I, Pavord I, Peng Y, Penkava F, Pinho M, Perez E, Pollard A, Powrie F, Psaila B, Quan T, Repapi E, Revale S, Silva-Reyes L, Richard J, Rich-Griffin C, Ritter T, Rollier C, Rowland M, Ruehle F, Salio M, Sansom S, Peres R, Delgado A, Sauka-Spengler T, Schwessinger R, Scozzafava G, Screaton G, Seigal A, Semple M, Sergeant M, Karali C, Sims D, Skelly D, Slawinski H, Sobrinodiaz A, Sousos N, Stafford L, Stockdale L, Strickland M, Sumray O, Sun B, Taylor C, Taylor S, Taylor A, Thongjuea S, Thraves H, Todd J, Tomic A, Tong O, Trebes A, Trzupek D, Tucci F, Turtle L, Udalova I, Uhlig H, van Grinsven E, Vendrell I, Verheul M, Voda A, Wang G, Wang L, Wang D, Watkinson P, Watson R, Weinberger M, Whalley J, Witty L, Wray K, Xue L, Yeung H, Yin Z, Young R, Youngs J, Zhang P, Zurke Y, investigators O, Banning A, Antonopoulos A, Bajaj A, Kelion A, Deshpande A, Kardos A, Hudson B, Koo B, Shirodaria C, Xie C, Kotanidis C, Mahon C, Berry C, Adlam D, Newby D, Connolly D, Scaletta D, Alexander D, Nicol E, McAlindon E, Oikonomou E, Pugliese F, Pontone G, Benedetti G, He G, West H, Kondo H, Benedek I, Das I, Deanfield J, Graby J, Greenwood J, Rodrigues J, Ge J, Channon K, Fabritz L, Fan L, Kingham L, Guglielmo M, Lyasheva M, Schmitt M, Beer M, Anderson M, Desai M, Marwan M, Takahashi N, Mehta N, Dai N, Screaton N, Sabharwal N, Maurovich-Horvat P, Rao P, Kotronias R, Kharbanda R, Preston R, Wood R, Blankstein R, Rajani R, Mirsadraee S, Munir S, Thomas S, Neubauer S, Klömpken S, Petersen S, Achenbach S, Anthony S, Mak S, Mittal T, Benedek T, Sharma V, Lin W. Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19. The Lancet Digital Health 2022, 4: e705-e716. PMID: 36038496, PMCID: PMC9417284, DOI: 10.1016/s2589-7500(22)00132-7.Peer-Reviewed Original ResearchConceptsInternal mammary arteryVascular inflammationSARS-CoV-2 variantsPrognostic valueHospital mortalityMammary arteryCT angiogramDexamethasone treatmentCOVID-19Angiography scansHuman internal mammary arteryB.1.1.7 SARS-CoV-2 variantNon-invasive imaging biomarkersBlood transcriptional modulesCytokine-driven inflammationDysregulation of coagulationAdverse clinical outcomesLong-term complicationsBritish Heart FoundationPulmonary CT angiographyNational Health Service TrustPlatelet aggregation pathwaysHealth Service TrustCT angiography scansUK National Health Service Trusts
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