Jukka Kemppainen

Deep learning for automatic detection of prostatectomy in CT images of prostate cancer patients

Oona Rainio, Anjie Li, Ahti Vehmanen, Maria K. Jaakkola et autres

Extracting anatomic reference from computed tomography (CT) images is a crucial step in fully automated image analysis solutions for CT and hybrid imaging of prostate cancer. Several deep learning-based applications can be used to perform segmentation of different anatomical structures in CT, …

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Fully intravenous split-dose administration of the oncolytic adenovirus TILT-123 in advanced solid tumors

Elise Jirovec, Katriina J. Jalkanen, Dafne C.A. Quixabeira, James H.A. Clubb et autres

TILT-123 (Ad5/3-E2F-d24-hTNFα-IRES-hIL2, igrelimogene litadenorepvec) is a chimeric oncolytic adenovirus engineered to selectively replicate in tumor cells and express tumor necrosis factor (TNF) and interleukin-2 (IL-2). While oncolytic viruses are commonly administered intratumorally, this approach often restricts practical applicability. Intravenous delivery is less …

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Fully automated segmentation of [18F]FDG- and PSMA-PET/CT images via data-centric Deep-Learning.

Manuel Pires, Sebastian Gutschmayer, Enrica Bergalla, Stephane Chauvie et autres

at, it, de, au, fr, us, fi (code pays fourni par la source)

Fully automated segmentation of [18F]FDG- and PSMA-PET/CT images via data-centric Deep-Learning.

Manuel Pires, Sebastian Gutschmayer, Enrica Bergalla, Stephane Chauvie et autres

at, it, de, au, fr, us, fi (code pays fourni par la source)

Comparison of diagnostic performance of [18F]FDG LAFOV and SAFOV PET/CT in Giant Cell Arteritis

Laura Ryyppö, Marko Seppänen, Sari Lastunen, Eliisa Löyttyniemi et autres

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Measuring the oncological value of exercise and statins (MOVES): Changing the tumour microenvironment with exercise and statins — an exploratory pilot trial

Teemu Murtola, Annastiina Hakulinen, Heidi Penttinen, Arja Jukkola et autres

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A Dual-Attention Hybrid Model for Head and Neck Lesion Segmentation from PET Images

SeyedEhsan Roshan, Maria K. Jaakkola, Oona Rainio, Seyed MohammadReza Hosseini et autres

ir, fi, au (code pays fourni par la source)

Predictors of long-term survival for patients with pancreatic neuroendocrine neoplasm in FinPanNET: nationwide biobank study with histopathological re-evaluation

Susanna Majala, Tuomas Kaprio, Tiina Vesterinen, Saila P. Kauhanen et autres

Pancreatic neuroendocrine tumours (panNETs) comprise a heterogeneous tumour group with unresolved optimal treatment. Surgery is recommended for symptomatic or >2 cm asymptomatic tumours1, due to the risk of major complications. Surveillance is considered safe for small non-functional panNETs (NF-panNETs)2, although there is …

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Deep learning‐based 3D classification of head and neck cancer PET/MRI: Radiologist comparison and Grad‐CAM interpretability

Joonas Liedes, Jussi Hirvonen, Oona Rainio, Sarita Murtojärvi et autres

PURPOSE: To develop and evaluate a three-dimensional convolutional neural network for automated classification of PET/MRI images in head and neck cancer (HNC) patients, assessing its performance against radiologist interpretation and its potential as a diagnostic aid. METHODS: F-FDG PET/MRI were used to …

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Prospective comparison of 18F-PSMA-1007 PET/CT and MRI with histopathology as the reference standard for intraprostatic tumour detection and T-staging of high-risk prostate cancer

Aino Kivikallio, Simona Malaspina, Irena Saarinen, Marko Seppänen et autres

PURPOSE: F-PSMA-1007 PET/CT and whole-body MRI (WBMRI) with DWI to detect prostate cancer (PCa) lesions and assess their local stage. Additionally, to evaluate the correlation between PSMA uptake on PET/CT and PSMA expression as assessed by immunohistochemistry. METHODS: F-PSMA-1007 PET/CT and WBMRI …

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Figure 2 from Safety, Efficacy, and Biological Data of T-Cell–Enabling Oncolytic Adenovirus TILT-123 in Advanced Solid Cancers from the TUNIMO Monotherapy Phase I Trial

Santeri Artturi Pakola, Katriina Johanna Peltola, James H.A. Clubb, Elise Jirovec et autres

A, Response evaluation in all injected lesions, evaluated by CT. B, Response evaluation in all injected lesions, evaluated by PET. C, Response evaluation in allimaged non-injected lesions, evaluated by CT. D, Response evaluation in all imaged non-injected lesions, evaluated by PET. Best …

Supplementary Data 1 from Safety, Efficacy, and Biological Data of T-Cell–Enabling Oncolytic Adenovirus TILT-123 in Advanced Solid Cancers from the TUNIMO Monotherapy Phase I Trial

Santeri Artturi Pakola, Katriina Johanna Peltola, James H.A. Clubb, Elise Jirovec et autres

Supplementary Table S1-S5, Supplementary Figure S1-S6