Sökning: onr:"swepub:oai:research.chalmers.se:f7d80947-387f-4417-97dd-149639cce10a" >
Convolutional neura...
Convolutional neural network based quantification of choline uptake in PET/CT studies is associated with overall survival in patients with prostate cancer
-
- Kaboteh, Reza (författare)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
-
- Polymeri, Eirini (författare)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
-
- Sadik, May, 1970 (författare)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
-
visa fler...
-
- Enqvist, Olof, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
-
Ulén, Johannes (författare)
-
- Ohlsson, Mattias (författare)
- Lunds universitet,Lund University
-
- Trägårdh, Elin (författare)
- Lunds universitet,Lund University
-
Poulsen, Mads (författare)
-
Simonsen, Jane Angel (författare)
-
Høilund-Carlsen, Poul Flemming (författare)
-
- Johnsson, Åse (författare)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
-
- Edenbrandt, Lars, 1957 (författare)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
-
visa färre...
-
(creator_code:org_t)
- 2017
- 2017
- Engelska.
-
Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - 1619-7070 .- 1619-7089. ; 44:supplement 2
- Relaterad länk:
-
https://research.cha...
Abstract
Ämnesord
Stäng
- Aim : To develop a convolutional neural network (CNN) based automated method for quantification of 18F-choline uptake in the prostate gland in PET/CT studies and to study the association between this measure, clinical data and overall survival in patients with prostate cancer. Methods : A CNN was trained to segment the prostate gland in CT images using manual segmentations performed by a radiologist in a group of 100 patients, who had undergone 18F-FDG PET/CT. After the training process, the CNN automatically segmented the prostate gland in the CT images and SUV values in the corresponding PET images were automatically analyzed in a separate validation group consisting of 45 patients with biopsy-proven hormone-naïve prostate cancer. All patients had undergone an 18F-choline PET/CT as part of a previous research project. Voxels localized in the prostate gland and having a SUV >2.65 were defined as abnormal, as proposed by Reske S et al. (2006). Automated calculation of the following five PET measurements was performed: maximal SUV within the prostate gland - SUVmax; average SUV for voxels with SUV >2.65 - SUVmean; volume of voxels with SUV >2.65 - VOL; fraction of VOL related to the whole volume of the prostate gland - FRAC; product SUVmean x FRAC defined as Total Lesion Uptake - TLU. The association between the automated PET measurements, age, PSA, Gleason score and overall survival (OS) was evaluated using a univariate Cox proportional hazards regression model. Kaplan-Meier analysis was used to estimate the survival difference (log-rank test). Results : TLU and FRAC were significantly associated with OS in the Cox analysis while the other three PET measurements; age, PSA and Gleason score were not. Kaplan-Meier analysis showed that patients with SUVmax <5.3, SUVmean <3.5 and TLU <1 showed significantly longer survival times than patients with values higher than these thresholds. No significant differences were found when patients were stratified based on the other two PET measurements, PSA or Gleason score. Conclusion : Measurements reflecting 18F-choline PET uptake in the prostate gland obtained using a completely automated method were significantly associated with OS in patients with hormone-naïve prostate cancer. This type of objective quantification of PET/CT studies could be of value also for other PET tracers and other cancers in the future.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Kaboteh, Reza
-
Polymeri, Eirini
-
Sadik, May, 1970
-
Enqvist, Olof, 1 ...
-
Ulén, Johannes
-
Ohlsson, Mattias
-
visa fler...
-
Trägårdh, Elin
-
Poulsen, Mads
-
Simonsen, Jane A ...
-
Høilund-Carlsen, ...
-
Johnsson, Åse
-
Edenbrandt, Lars ...
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Radiologi och bi ...
-
- TEKNIK OCH TEKNOLOGIER
-
TEKNIK OCH TEKNO ...
-
och Medicinteknik
-
och Medicinsk bildbe ...
- Artiklar i publikationen
-
European Journal ...
- Av lärosätet
-
Chalmers tekniska högskola