Funding Information: Conflicts of interest and sources of funding: N.S. serves on the Scientific Advisory Board of Bruker Biospin. No other potential conflicts of interest are reported from remaining authors. Champalimaud Foundation funded this work; R.V.S.'s work was supported by H2020-MSCA-IF-2018, ref: 844776; A.I.'s work received the support of a fellowship from \u201CLa Caixa\u201D Foundation (ID 100010434...
Publisher Copyright: © The Author(s) 2025.; Purpose: This study aims to determine the feasibility, image quality, intra-subject repeatability and inter-reader variability of Diffusion tensor (DTI) and Diffusion kurtosis imaging (DKI) for pancreatic imaging using different protocols and report normative values in healthy individuals. Methods: Single-institution prospective study performed on healthy volunteers i...
ProCAncer-I Consortium, Rodrigues, N. M., Almeida, J. G. D., Verde, A. S. C., Gaivão, A. M., Bireiro, C., Santiago, I., Ip, J., Belião, S., Matos, C., Vanneschi, L., Tsiknakis, M., Marias, K., Regge, D., Silva, S., & Papanikolaou, N. (2025). Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector. Scientific Reports, 15, 1-15. Article 15211. https://doi.o...
Publisher Copyright: © 2023, The Author(s).; Objectives: To determine the role of diffusion-weighted imaging (DWI) for predicting response to neoadjuvant therapy (NAT) in pancreatic cancer. Materials and methods: MEDLINE, EMBASE, and Cochrane Library databases were searched for studies evaluating the performance of apparent diffusion coefficient (ADC) to assess response to NAT. Data extracted included ADC pre- ...
ProCAncer-I Consortium, Rodrigues, N. M., de Almeida, J. G., Castro Verde, A. S., Gaivão, A. M., Bilreiro, C., Santiago, I., Ip, J., Belião, S., Moreno, R., Matos, C., Vanneschi, L., Tsiknakis, M., Marias, K., Regge, D., Silva, S., & Papanikolaou, N. (2024). Corrigendum to “Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data” [Com...
Funding Information: This work did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Publisher Copyright: © 2024; Background: Pancreatic ductal adenocarcinoma (PDAC) is a common and lethal cancer. From diagnosis to disease staging, response to neoadjuvant therapy assessment and patient surveillance after resection, imaging plays a central role, guiding th...
Rodrigues, N. M., Almeida, J. G. D., Verde, A. S. C., Gaivão, A. M., Bilreiro, C., Santiago, I., Ip, J., Belião, S., Moreno, R., Matos, C., Vanneschi, L., Tsiknakis, M., Marias, K., Regge, D., Silva, S., & Papanikolaou, N. (2024). Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. Computers in Biology and Medicine, 171, 1-22. Ar...
Rodrigues, N. M., Almeida, J. G. D., Rodrigues, A., Vanneschi, L., Matos, C., Lisitskaya, M., Uysal, A., Silva, S., & Papanikolaou, N. (2024). Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction. JCO Clinical Cancer Informatics, 8, Article e2300180. https://doi.org/10.1200/CCI.23.00180 --- Supported in part by FCT, Portugal, through funding of the LASIGE Research Unit (U...
Funding Information: We are grateful to all staff composing the?Imaging Department, the Colorectal Cancer Unit, and The Pathology Department of the Champalimaud Foundation. We would also like to thank Nuno Lou??o from Philips Healthcare (R) for the outstanding technical support. Publisher Copyright: © 2021, The Author(s).; In the past nearly 20 years, organ-sparing when no apparent viable tumour is present afte...
BACKGROUND: Whole-body diffusion weighted imaging (WB-DWI) has proven value to detect multiple myeloma (MM) lesions. However, the large volume of imaging data and the presence of numerous lesions makes the reading process challenging. The aim of the current study was to develop a semi-automatic lesion segmentation algorithm for WB-DWI images in MM patients and to evaluate this smart-algorithm (SA) performance b...