Conference Abstracts/Presentations at the 2023 Annual SNMMI Meeting

Over 40 abstracts by our Qurit lab and our collaborators (9 oral talks, 24 scientific posters, and 9 educational posters) were accepted to the Annual Meeting of the Society of Nuclear Medicine & Molecular Imaging (SNMMI) held in Chicago in June 24-27, 2023. Eagerly looking forward to the meeting:

Oral:

• X. Hou, N. Colpo, I. Blouse, J. Brosch-Lenz, W. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, A. Rahmim, F. Benard, C. Uribe
  Impact of blood kinetics fittings and simplification methods on bone marrow dosimetry for 177Lu-PSMA-617: Early experience from the Canadian Cancer Trials Group PR21 trial (NCT 04663997)
• X. Hou, N. Colpo, I. Blouse, J. Brosch-Lenz, W. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, A. Rahmim, F. Benard, C. Uribe
  Comparison of blood-based, image-based, and whole-body skeleton-based bone marrow dosimetry in 177Lu-PSMA-617 Radiopharmaceutical Therapies
• F. Yousefirizi, I. Klyuzhin, K. Girum, C. Uribe, I. Buvat, A. Rahmim
  Federated testing of AI techniques: Towards sharing of implementations, not just code
• J. Brosch-Lenz, N. Colpo, I. Blouse, X. Hou, W.R. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, F. Benard, A. Rahmim, C. Uribe
  Can we use pre-therapy PSMA PET/CT as a predictor for Lutetium-177-PSMA-617 therapy? Early experience from the Canadian Cancer Trials Group PR21 trial (NCT 04663997)
• N. Zakariaei, A. Fele-Paranj,  H. Abdollahi, A. Rahmim
  Using the cluster gauss newton algorithm to estimate theranostic pharmacokinetic model parameters
• R. Fedrigo, L. Polson, C. Li, P. Segars, S. Harsini, J. Brosch-Lenz, A. Rahmim, C. Uribe
  Development of theranostic digital twins framework to perform quantitative image analysis of radiopharmaceutical distributions
• H. Koniar, L. Wharton, A. Ingham, A. P. Morales Oliver, C. Rodriguez-Rodriguez, P. Kunz, V. Radchenko, H. Yang, A. Rahmim, C. Uribe, P. Schaffer
  Dosimetry considerations for preclinical Ac-226 radiopharmaceutical development as a novel theranostic isotope
• M. Amin Abazari, M. Soltani, F. Moradi Kashkooli, A. Rahmim
  Effect of heterogeneous capillary networks in solid tumors on standardized 18F-FMISO uptake values: A novel spatiotemporal mode
• K. Thielemans, M. J. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, A. L. Kesner, E. K. Leung, P. Markiewicz, S. Prevrhal, A. Rahmim B. Saboury, J. Stairs, R. G. Wells
  The PET raw data standardization initiative

Scientific Posters:

• A. Rahmim, H. Abdollahi, A. Fele-Paranj, K-N. Lee, B. Saboury, C. Uribe
  Towards non-tracer kinetic modeling: Our past returning through the future
• X. Hou, J. Brosch-Lenz, B. Saboury, A. Rahmim, F. Benard, C. Uribe
  The impact of the microscopic distributions of red and yellow marrow within the skeletal spongiosa structure on bone marrow dosimetry: A Monte-Carlo simulation stud
• F. Yousefirizi, S. Harsini, C. Holloway, P. Tonseth, A. Alexander, B. Saboury, C. Uribe, A. Rahmim
  Pretreatment 18F-FDG PET/CT radiomics predict recurrence in patients treated with radiotherapy for cervical cancer
• A. Toosi, S. Harsini, F. Benard, C. Uribe, A. Rahmim
  Advanced deep learning-based lesion detection on rotational 2D maximum intensity projection (MIP) images coupled with reverse mapping to the 3D PET domain
• M. R. Salmanpour, M. Hosseinzadeh, S. M. Rezaeijo, S. Ashrafinia, A. Rahmim
  ViSERA: Visualized & standardized environment for radiomics analysis
• M. R. Salmanpour, M. Hosseinzadeh, N. Sanati, A. Fathi Jouzdani, A. Gorji, A. Mahboubi, M. Maghsudi, S. M. Rezaeijo, S. Moore, B. Leung, C. Uribe, C. Ho, A. Rahmim
  Tensor deep versus Radiomics features: lung cancer outcome prediction using hybrid machine learning systems
• M. R. Salmanpour, M. Iranpour, M. Hosseinzadeh, S. M. Rezaeijo, A. Rahmim
  Prediction of TNM stage in head and neck cancer using tensor deep vs. Radiomics features
• S. Ahamed, Y. Xu, I. Shiri, J. H. O, F. Yousefirizi, C. F. Uribe, W. B. Weeks, R. Dodhia, J. L. Ferres, F. Bénard, A. Rahmim
  A study of classification neural networks trained on axial, coronal and sagittal PET/CT slices and their weighted ensembles
• S. Ahamed, Y. Xu, W. B. Weeks, R. Dodhia, J. L. Ferres, A. Rahmim
  Towards enhanced lesion segmentation using a 3D neural network trained on multi-resolution cropped patches of lymphoma PET images
• L. Polson, R. Fedrigo, C. Li, A. Rahmim, C. Uribe
  A novel tomographic reconstruction software developed using PyTorch
• R. Fedrigo, C. Coope, J. K. Cheng, C. English, L. Polson, V. Sossi, A. Rahmim, J. Sunderland, F. Benard, C. Uribe
  Towards harmonized 18F-PSMA PET imaging: Design and early results from a multi-center, multi-vendor phantom study
• K. N. Lee,  A. Rahmim, C. Uribe
  Novel kinetic micro-parameter estimation from dynamic whole-body PET images
• A. Fele-Paranj, C. Uribe, H. Abdollahi, E. Mollaheydar, N. Zakariaei, M. S. Rahim Siddiqui, B. Saboury, A. Rahmim
  In silico investigation of the effect of multi-bolus injections in absorbed doses to organs and tumors in radiopharmaceutical therapies
• M. Obaid, A. Rahmim, W. P. Segars, J. Brosch-Lenz, C. Uribe
  Computing S-values for bone-marrow dose estimation in rodents
• S. M. Rezaeijo, A. Mahboubisarighieh, S. Jafarpoor Nesheli, H. Shaverdi, M. Hosseinzadeh, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
  Use of deep image-to-image translations to assess complementarity of imaging modalities: application to PET and CT images in head and neck cancer
• S. Kalayinia, G. Hajianfar, T. Talebi, S. Samanian, M. Hosseinzadeh, M. Maleki, A. Rahmim, M. R. Salmanpour
  Prediction of Parkinson’s disease pathogenic variants via semi-supervised hybrid machine learning systems, clinical information and Radiomics features
• A. Gorji , A. Fathi Jouzdani, N. Sanati, M. Hosseinzadeh, A. Mahboubisarighieh, S. M. Rezaeijo,  M. Maghsudi, S. Moore, B. Leung, C. Uribe, C. Ho, A. Rahmim, M. R. Salmanpour
  PET-CT fusion based outcome prediction in lung cancer using deep and handcrafted Radiomics features and machine learning
• R. D. Schaetzen, Y. Farag, G. Chaussé, A. Rahmim, F. Yousefirizi, C. Uribe
  A fully automated method for prostate segmentation in PSMA PET/CT scans
• A. Golzaryan, M. Soltani, F. Moradi Kashkooli, C. Uribe, A. Rahmim
  In silico study quantifying the effects of reducing salivary gland blood flow on tumor to organ-at-risk absorbed dose ratios
• M. Amin Abazari, F. Eydi, M. Soltani, F. Moradi Kashkooli, A. Rahmim
  Spatiotemporal model to determine key transport mechanisms of the 18F-FMISO PET radiopharmaceutical within solid tumors
• A. Piranfar, M. Soltani, F. Moradi Kashkooli, W. Zhan, A. Bhandari, A. Rahmim
  177Lu-PSMA-617 transport in solid tumors via a 3D image-based spatio-temporal model
• Y. Salimi, Z. Mansouri, A. Akhavan, I. Shiri, E. P. Andrade Teixeira, X. Hou, J-M. Beauregard, A. Rahmim, H. Zaidi
  Automatic axial range selection on the CT localizer to remove unused SPECT/CT slices: Application to serial imaging in radiopharmaceutical therapy
• M. S. Azimi, A. Kamali-Asl, M. Ay, F. Khorshidi, M. Sadat Hosseini, Y. Moafpourian, H. Arabi, A. Rahmim, H. Zaidi
  Evaluation of deep-learning based partial volume correction of PET images not utilizing anatomical information
• M. S. Azimi, A. Kamali-Asl, M. Ay, F. Khorshidi, M. Sadat Hosseini, H. Arabi, A. Rahmim, H. Zaidi
  Reproducibility of radiomics features in partial volume correction of PET images

Educational Posters:

• J. Brosch-Lenz, B. Saboury, A. Rahmim, C. Uribe
  Why we should move beyond the 23 Gray limit for kidney absorbed dose
• H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
  It is the matter of time: highlighting the difference between biological effect of continuous versus fractionated radiation to improve optimization of radiopharmaceutical therapy
• H. Abdollahi, C. Uribe, A. Rahmim, B. Saboury
  Radiobiology of alpha and beta particles in radiopharmaceutical therapy: what to unlearn from external beam radiotherapy
• H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
  Linear quadratic model in radiopharmaceutical therapies: Need for revisiting concepts and new models
• E. Mollaheydar, C. Uribe, M. Soltani, B. Saboury, A. Rahmim
  Bridging mathematics to cancer from a multiscale perspective: A primer for nuclear medicine practitioners
• T. Yusufaly, E. Roncali, L. Strigari, J. Brosch-Lenz, G. El Fakhri, P. Heidari, A. Jha, Q. Li, H. McMeekin, M. Morris, P. Scott, H. Zaidi, A. Rahmim, B. Saboury, C. Uribe
  Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 1: Clinical overview and motivating examples
• E. Roncali, T. Yusufaly, C. Uribe, A. Jha, L. Strigari, J. Brosch-Lenz, G. El Fakhri, H. McMeekin, H. Zaidi, A. Rahmim, B. Saboury
  Multiscale bio-dosimetry for dose-response modeling in radiopharmaceutical therapy (RPT), Part 2: Concepts, methods and computational tools
• C. Uribe, E. Roncali, L. Strigari, J. Brosch-Lenz, A. Rahmim, B. Saboury, T. Yusufaly
  Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 3: Considerations at different temporal scales
• L. Strigari, E. Roncali, T. Yusufaly, J. Brosch-Lenz, G. El Fakhri, P. Heidari, A. Jha, Q. Li, H. McMeekin, M. Morris, P. Scott, H. Zaidi, C. Uribe, A. Rahmim, B. Saboury
  Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 4: digital twins for optimized RPT and their ethical and regulatory dimensions