Sökning: onr:"swepub:oai:DiVA.org:hh-41541" >
Deep learning-based...
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Polymeri, EriniGothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology,Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Sahlgrenska University Hospital
(författare)
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
- Artikel/kapitelEngelska2020
Förlag, utgivningsår, omfång ...
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2019-12-20
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Chichester :Blackwell Publishing,2020
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:hh-41541
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https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41541URI
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https://doi.org/10.1111/cpf.12611DOI
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https://research.chalmers.se/publication/515024URI
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https://gup.ub.gu.se/publication/288815URI
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https://lup.lub.lu.se/record/cd7fb81c-2cd4-46bd-911a-751a270139afURI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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Aim: To validate a deep-learning (DL) algorithm for automated quantification of prostate cancer on positron emission tomography/computed tomography (PET/CT) and explore the potential of PET/CT measurements as prognostic biomarkers. Material and methods: Training of the DL-algorithm regarding prostate volume was performed on manually segmented CT images in 100 patients. Validation of the DL-algorithm was carried out in 45 patients with biopsy-proven hormone-naïve prostate cancer. The automated measurements of prostate volume were compared with manual measurements made independently by two observers. PET/CT measurements of tumour burden based on volume and SUV of abnormal voxels were calculated automatically. Voxels in the co-registered 18F-choline PET images above a standardized uptake value (SUV) of 2·65, and corresponding to the prostate as defined by the automated segmentation in the CT images, were defined as abnormal. Validation of abnormal voxels was performed by manual segmentation of radiotracer uptake. Agreement between algorithm and observers regarding prostate volume was analysed by Sørensen-Dice index (SDI). Associations between automatically based PET/CT biomarkers and age, prostate-specific antigen (PSA), Gleason score as well as overall survival were evaluated by a univariate Cox regression model. Results: The SDI between the automated and the manual volume segmentations was 0·78 and 0·79, respectively. Automated PET/CT measures reflecting total lesion uptake and the relation between volume of abnormal voxels and total prostate volume were significantly associated with overall survival (P = 0·02), whereas age, PSA, and Gleason score were not. Conclusion: Automated PET/CT biomarkers showed good agreement to manual measurements and were significantly associated with overall survival. © 2019 The Authors. Clinical Physiology and Functional Imaging published by John Wiley & Sons Ltd on behalf of Scandinavian Society of Clinical Physiology and Nuclear Medicine
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Sadik, M.Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
(författare)
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Kaboteh, R.Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
(författare)
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Borrelli, P.Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
(författare)
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Enqvist, Olof,1981Chalmers University of Technology(Swepub:cth)enolof
(författare)
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Ulén, JohannesEigenvision AB, Malmö, Sweden(Swepub:lu)math-jsu
(författare)
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Ohlsson, Mattias,1967-Halmstad University,Lund University,Lunds universitet,Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab),Högskolan i Halmstad (HH),Halmstad University (HH)(Swepub:lu)thep-moh
(författare)
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Trägårdh, ElinLund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Nuclear medicine, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments(Swepub:lu)klin-etr
(författare)
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Poulsen, M. H.Department of Urology, Odense University Hospital, Odense, Denmark
(författare)
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Simonsen, J. A.Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
(författare)
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Hoilund-Carlsen, P. F.Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
(författare)
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Johnsson, Åse (Allansdotter),1966Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiologi,Institute of Clinical Sciences, Department of Radiology,Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Sahlgrenska University Hospital(Swepub:gu)xjohna
(författare)
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Edenbrandt, Lars,1957Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrenska Academy(Swepub:lu)klfy-led
(författare)
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Göteborgs universitetInstitutionen för kliniska vetenskaper, Avdelningen för radiologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Clinical Physiology and Functional ImagingChichester : Blackwell Publishing40:2, s. 106-1131475-09611475-097X
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Polymeri, Erini
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Sadik, M.
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Kaboteh, R.
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Borrelli, P.
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Enqvist, Olof, 1 ...
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Ulén, Johannes
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visa fler...
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Ohlsson, Mattias ...
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Trägårdh, Elin
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Poulsen, M. H.
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Simonsen, J. A.
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Hoilund-Carlsen, ...
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Johnsson, Åse (A ...
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Edenbrandt, Lars ...
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