Sensors, Vol. 20, Pages 3183: Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI
Sensors, Vol. 20, Pages 3183: Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI Sensors doi: 10.3390/s20113183 Authors: Zia Khan Norashikin Yahya Khaled Alsaih Syed Saad Azhar Ali Fabrice Meriaudeau In this paper, we present an evaluation of four encoder–decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed for the segmentation of road scene, biomedical, and natural images. Segmentation of prostate in T2W MRI images is an important step in the automatic diagnosis of prostate cancer to enable better lesion detection and staging of prostate cancer. Therefore, many research efforts have been conducted to improve the segmentation of the prostate gland in MRI images. The main challenges of prostate gland segmentation are blurry prostate boundary and variability in prostate anatomical structure. In this work, we investigated the performance of encoder–decoder CNNs for segmentation of prostate gland in T2W MRI. Image pre-processing techniques including image resizing, center-cropping and intensity normalization are applied to address the issues of inter-patient and inter-scanner variability as well as the issue of dominating background pixels over prostate pixels. In addition, to enrich the network with more data, to increase data variation, and to improve its accuracy, patch...
This article presents the contribution of the latest advances in these two imaging techniques of prostate cancer and their future developments. PMID: 32620459 [PubMed - as supplied by publisher]
ConclusionWB-MRI was mainly performed at 1.5T unit, with lymphoma, myeloma and prostate cancer having been the most common indications. The extreme variability in the choice of imaging protocols and use of contrast agents demonstrates the need of a standardization of WB-MRI application in clinical practice.
Conclusion: The radiomics model based on mpMRI could different EPE and non-EPE lesions with satisfactory diagnostic performance, and this model might assist in predicting EPE before prostatectomy.
AbstractProspective evidence for the clinical role and efficacy of prostate specific membrane antigen (PSMA) positron emission tomography (PET)/magnetic resonance imaging (MRI) combining MRI characterization and localization of lesions with PET avidity in comparison to conventional imaging is limited. In a prospective clinical trial, we aimed to evaluate the diagnostic yield and therapeutic impact of PSMA PET/MRI in men with biochemical recurrence (BCR) following curative therapy. A single-centre, prospective clinical trial at the Princess Alexandra Hospital recruited 30 patients with BCR. Patients underwent PSMA PET/MRI a...
ConclusionsIntegrated [68Ga]PSMA-11 PET/MRI provides a similarly high diagnostic performance for localization of recurrent PC as PET/CT. For the detection of local recurrences [68Ga]PSMA-11 PET/MRI is superior compared with [68Ga]PSMA-11 PET/CT.
Conclusions: 68Ga-PSMA PET/MRI has favorable sensitivity and specificity profiles in diagnoses of patients with primary PCa. In addition, it also has high diagnostic accuracy in PCa with BCR. And the detection rates have positive correlation with PSA levels.
Conclusions: Preliminary analysis demonstrates DCFPyL PSMA PET/MR can assess response to neoadjuvant chemohormal therapy in men with high-risk primary PCa. PET SUVmax was correlated with PSA and early PSA recurrence. Further analyses to explore correlation of PSMA PET with histopathological response, clinical outcomes and tumor microenvironment studies are ongoing.
Cancers, Vol. 12, Pages 1248: Multi-Modal PET and MR Imaging in the Hen’s Egg Test-Chorioallantoic Membrane (HET-CAM) Model for Initial in Vivo Testing of Target-Specific Radioligands Cancers doi: 10.3390/cancers12051248 Authors: Gordon Winter Andrea B. F. Koch Jessica Löffler Mika Lindén Christoph Solbach Alireza Abaei Hao Li Gerhard Glatting Ambros J. Beer Volker Rasche The validation of novel target-specific radioligands requires animal experiments mostly using mice with xenografts. A pre-selection based on a simpler in vivo model would allow to reduce the number of animal exp...
AbstractBackground and objectiveThe optimal management of prostate cancer (PC) recurrences after definitive or postoperative radiotherapy (RT) is still controversial. The aim of the present retrospective study was to report the preliminary clinical results and toxicity of a mono-institutional series of patients re-irradiated with linac-based SBRT in recurrent prostate cancer.MethodsInclusion criteria were previous definitive or adjuvant/salvage RT, evidence of biochemical recurrence and radiological detection of local relapse (Magnetic Resonance Imaging or PSMA/choline-Positron Emission Tomography), and IPSS
Conclusion: We have shown that there are quantitative imaging features that are reproducible across sequential prostate mpMRI acquisition at a preset level of filters. We also found that a habitat approach improves feature repeatability in ADC. A validated set of reproducible image features in mpMRI will allow us to develop clinically useful disease risk stratification, enabling the possibility of using imaging as a surrogate to invasive biopsies.