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2. A consensus protocol for functional connectivity analysis in the rat brain

Author

Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline, Golden, Carla E. M., Guo, Chao C. G., Henckens, Marloes J. A. G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung-Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., López -Castro, Alejandra, López-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M. P., Nava-Gomez, Laura J., Nonaka, Hiroi, Ortiz, Juan J., Paasonen, Jaakko, Peeters, Lore M., Pereira, Mickaël, Perez, Pablo D., Pompilus, Marjory, Prior, Malcolm, Rakhmatullin, Rustam, Reimann, Henning M., Reinwald, Jonathan, Del Rio, Rodrigo Triana, Rivera-Olvera, Alejandro, Ruiz-Pérez, Daniel, Russo, Gabriele, Rutten, Tobias J., Ryoke, Rie, Sack, Markus, Salvan, Piergiorgio, Sanganahalli, Basavaraju G., Schroeter, Aileen, Seewoo, Bhedita J., Selingue, Erwan, Seuwen, Aline, Shi, Bowen, Sirmpilatze, Nikoloz, Smith, Joanna A. B., Smith, Corrie, Sobczak, Filip, Stenroos, Petteri J., Straathof, Milou, Strobelt, Sandra, Sumiyoshi, Akira, Takahashi, Kengo, Torres-García, Maria E., Tudela, Raul, van den Berg, Monica, van der Marel, Kajo, van Hout, Aran T. B., Vertullo, Roberta, Vidal, Benjamin, Vrooman, Roël M., Wang, Victora X., Wank, Isabel, Watson, David J. G., Yin, Ting, Zhang, Yongzhi, Zurbruegg, Stefan, Achard, Sophie, Alcauter, Sarael, Auer, Dorothee P., Barbier, Emmanuel L., Baudewig, Jürgen, Beckmann, Christian F., Beckmann, Nicolau, Becq, Guillaume J. P. C., Blezer, Erwin L. A., Bolbos, Radu, Boretius, Susann, Bouvard, Sandrine, Budinger, Eike, Buxbaum, Joseph D., Cash, Diana, Chapman, Victoria, Chuang, Kai-Hsiang, Ciobanu, Luisa, Coolen, Bram F., Dalley, Jeffrey W., Dhenain, Marc, Dijkhuizen, Rick M., Esteban, Oscar, Faber, Cornelius, Febo, Marcelo, Feindel, Kirk W., Forloni, Gianluigi, Fouquet, Jérémie, Garza-Villarreal, Eduardo A., Gass, Natalia, Glennon, Jeffrey C., Gozzi, Alessandro, Gröhn, Olli, Harkin, Andrew, Heerschap, Arend, Helluy, Xavier, Herfert, Kristina, Heuser, Arnd, Homberg, Judith R., Houwing, Danielle J., Hyder, Fahmeed, Ielacqua, Giovanna Diletta, Jelescu, Ileana O., Johansen-Berg, Heidi, Kaneko, Gen, Kawashima, Ryuta, Keilholz, Shella D., Keliris, Georgios A., Kelly, Clare, Kerskens, Christian, Khokhar, Jibran Y., Kind, Peter C., Langlois, Jean-Baptiste, Lerch, Jason P., López-Hidalgo, Monica A., Manahan-Vaughan, Denise, Marchand, Fabien, Mars, Rogier B., Marsella, Gerardo, Micotti, Edoardo, Muñoz-Moreno, Emma, Near, Jamie, Niendorf, Thoralf, Otte, Willem M., Pais-Roldán, Patricia, Pan, Wen-Ju, Prado-Alcalá, Roberto A., Quirarte, Gina L., Rodger, Jennifer, Rosenow, Tim, Sampaio-Baptista, Cassandra, Sartorius, Alexander, Sawiak, Stephen J., Scheenen, Tom W. J., Shemesh, Noam, Shih, Yen-Yu Ian, Shmuel, Amir, Soria, Guadalupe, Stoop, Ron, Thompson, Garth J., Till, Sally M., Todd, Nick, Van Der Linden, Annemie, van der Toorn, Annette, van Tilborg, Geralda A. F., Vanhove, Christian, Veltien, Andor, Verhoye, Marleen, Wachsmuth, Lydia, Weber-Fahr, Wolfgang, Wenk, Patricia, Yu, Xin, Zerbi, Valerio, Zhang, Nanyin, Zhang, Baogui B., Zimmer, Luc, Devenyi, Gabriel A., Chakravarty, M. Mallar, and Hess, Andreas

Published
2023
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3. Quantitative model for $^{13}$C tracing applied to citrate production and secretion of prostate epithelial tissue

Author

van Heijster, Frits H. A., Breukels, Vincent, and Heerschap, Arend

Subjects
Quantitative Biology - Molecular Networks
Abstract

Healthy human prostate epithelial cells have the unique ability to produce and secrete large amounts of citrate into the lumen of the prostate. Citrate is a Krebs cycle metabolite produced in the condensation reaction between acetyl-CoA and oxaloacetate in the mitochondria of the cell. With the application of $^{13}$C enriched substrates, such as $^{13}$C glucose or pyruvate, to prostate cells or tissues, it is possible to identify the contributions of different metabolic pathways to this production and secretion of citrate. In this work we present a quantitative model describing the mitochondrial production and the secretion of citrate by prostatic epithelial cells employing the $^{13}$C labeling pattern of secreted citrate as readout. We derived equations for the secretion fraction of citrate and the contribution of pyruvate dehydrogenase complex (PDC) versus the anaplerotic pyruvate carboxylase (PC) pathways in supplying the Krebs cycle with carbons from pyruvate for the production of citrate. These measures are independent of initial $^{13}$C-enrichment of the administered supplements and of $^{13}$C J-coupling patterns, making this method robust also if SNR is low. We propose use of these equations to distinguish between citrate metabolism in healthy and diseased prostate tissue, in particular upon malignant transformation., Comment: 35 pages, 13 figures, 2 tables

Published
2019

6. Methodological consensus on clinical proton MRS of the brain: Review and recommendations.

Author

Wilson, Martin, Andronesi, Ovidiu, Barker, Peter B, Bartha, Robert, Bizzi, Alberto, Bolan, Patrick J, Brindle, Kevin M, Choi, In-Young, Cudalbu, Cristina, Dydak, Ulrike, Emir, Uzay E, Gonzalez, Ramon G, Gruber, Stephan, Gruetter, Rolf, Gupta, Rakesh K, Heerschap, Arend, Henning, Anke, Hetherington, Hoby P, Huppi, Petra S, Hurd, Ralph E, Kantarci, Kejal, Kauppinen, Risto A, Klomp, Dennis WJ, Kreis, Roland, Kruiskamp, Marijn J, Leach, Martin O, Lin, Alexander P, Luijten, Peter R, Marjańska, Małgorzata, Maudsley, Andrew A, Meyerhoff, Dieter J, Mountford, Carolyn E, Mullins, Paul G, Murdoch, James B, Nelson, Sarah J, Noeske, Ralph, Öz, Gülin, Pan, Julie W, Peet, Andrew C, Poptani, Harish, Posse, Stefan, Ratai, Eva-Maria, Salibi, Nouha, Scheenen, Tom WJ, Smith, Ian CP, Soher, Brian J, Tkáč, Ivan, Vigneron, Daniel B, and Howe, Franklyn A

Subjects
Brain, Humans, Protons, Magnetic Resonance Imaging, Consensus, MRS, brain, consensus, metabolites, semi-LASER, shimming, Biomedical Imaging, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Biomedical Engineering, Nuclear Medicine & Medical Imaging
Abstract

Proton MRS (1 H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS capabilities, routine use is largely restricted to specialized centers with good access to MR research support. Widespread adoption has been slow for several reasons, and technical challenges toward obtaining reliable good-quality results have been identified as a contributing factor. Considerable progress has been made by the research community to address many of these challenges, and in this paper a consensus is presented on deficiencies in widely available MRS methodology and validated improvements that are currently in routine use at several clinical research institutions. In particular, the localization error for the PRESS localization sequence was found to be unacceptably high at 3 T, and use of the semi-adiabatic localization by adiabatic selective refocusing sequence is a recommended solution. Incorporation of simulated metabolite basis sets into analysis routines is recommended for reliably capturing the full spectral detail available from short TE acquisitions. In addition, the importance of achieving a highly homogenous static magnetic field (B0 ) in the acquisition region is emphasized, and the limitations of current methods and hardware are discussed. Most recommendations require only software improvements, greatly enhancing the capabilities of clinical MRS on existing hardware. Implementation of these recommendations should strengthen current clinical applications and advance progress toward developing and validating new MRS biomarkers for clinical use.

Published
2019

9. Diffusion‐weighted MR spectroscopy of the prostate.

Author

Stamatelatou, Angeliki, Rizzo, Rudy, Simsek, Kadir, van Asten, Jack J A, Heerschap, Arend, Scheenen, Tom, and Kreis, Roland

Subjects
PROTON magnetic resonance spectroscopy, PROSTATE, SPECTROMETRY, STROMAL cells, DIFFUSION coefficients, PROTEIN binding
Abstract

Purpose: Prostate tissue has a complex microstructure, mainly composed of epithelial and stromal cells, and of extracellular (acinar‐luminal) spaces. Diffusion‐weighted MR spectroscopy (DW‐MRS) is ideally suited to explore complex microstructure in vivo with metabolites selectively distributed in different subspaces. To date, this technique has been applied to brain and muscle. This study presents the development and pioneering utilization of 1H‐DW‐MRS in the prostate, accompanied by in vitro studies to support interpretations of in vivo findings. Methods: Nine healthy volunteers underwent a prostate MR examination (mean age, 56 years; range, 31–66). Metabolic complexation was studied in vitro using solutions with major compounds found in prostatic fluid of the lumen. DW‐MRS was performed at 3 T with a non–water‐suppressed single‐voxel sequence with metabolite‐cycling to concurrently measure metabolite and water signals. The water signal was used in postprocessing as a reference in a motion‐compensation scheme. The spectra were fitted simultaneously in the spectral and diffusion‐weighting dimensions. Apparent diffusion coefficients (ADCs) were derived by fitting signal decays that were assumed to be mono‐exponential for metabolites and biexponential for water. Results: DW‐MRS of the prostate revealed relatively low ADCs for Cho and Cr compounds, aligning with their intracellular location and higher ADCs for citrate and spermine supporting their luminal origin. In vitro assessments of the ADCs of citrate and spermine demonstrated their complex formation and protein binding. Tissue concentrations of MRS‐detectable metabolites were as expected for the voxel location. Conclusions: This work successfully demonstrates the feasibility of 1H‐DW‐MRS of the prostate and its potential for providing valuable microstructural information. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Clinical proton MR spectroscopy in central nervous system disorders.

Author

Oz, Gülin, Alger, Jeffry R, Barker, Peter B, Bartha, Robert, Bizzi, Alberto, Boesch, Chris, Bolan, Patrick J, Brindle, Kevin M, Cudalbu, Cristina, Dinçer, Alp, Dydak, Ulrike, Emir, Uzay E, Frahm, Jens, González, Ramón Gilberto, Gruber, Stephan, Gruetter, Rolf, Gupta, Rakesh K, Heerschap, Arend, Henning, Anke, Hetherington, Hoby P, Howe, Franklyn A, Hüppi, Petra S, Hurd, Ralph E, Kantarci, Kantarci, Klomp, Dennis WJ, Kreis, Roland, Kruiskamp, Marijn J, Leach, Martin O, Lin, Alexander P, Luijten, Peter R, Marjańska, Malgorzata, Maudsley, Andrew A, Meyerhoff, Dieter J, Mountford, Carolyn E, Nelson, Sarah J, Pamir, M Necmettin, Pan, Jullie W, Peet, Andrew C, Poptani, Harish, Posse, Stefan, Pouwels, Petra JW, Ratai, Eva-Maria, Ross, Brian D, Scheenen, Tom W, Schuster, Christian, Smith, Ian CP, Soher, Brian J, Tkáč, Ivan, Vigneron, Daniel B, Kauppinen, Risto A, and MRS Consensus Group

Subjects
MRS Consensus Group, Humans, Central Nervous System Diseases, Magnetic Resonance Spectroscopy, Biomarkers, Brain Disorders, Neurodegenerative, Neurosciences, Clinical Research, Biomedical Imaging, Neurological, Good Health and Well Being, Medical and Health Sciences, Nuclear Medicine & Medical Imaging
Abstract

A large body of published work shows that proton (hydrogen 1 [(1)H]) magnetic resonance (MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality. Herein, the authors present a summary of brain disorders in which MR spectroscopy has an impact on patient management, together with a critical consideration of common data acquisition and processing procedures. The article documents the impact of (1)H MR spectroscopy in the clinical evaluation of disorders of the central nervous system. The clinical usefulness of (1)H MR spectroscopy has been established for brain neoplasms, neonatal and pediatric disorders (hypoxia-ischemia, inherited metabolic diseases, and traumatic brain injury), demyelinating disorders, and infectious brain lesions. The growing list of disorders for which (1)H MR spectroscopy may contribute to patient management extends to neurodegenerative diseases, epilepsy, and stroke. To facilitate expanded clinical acceptance and standardization of MR spectroscopy methodology, guidelines are provided for data acquisition and analysis, quality assessment, and interpretation. Finally, the authors offer recommendations to expedite the use of robust MR spectroscopy methodology in the clinical setting, including incorporation of technical advances on clinical units.

Published
2014

14. A multivariate curve resolution analysis of multicenter proton spectroscopic imaging of the prostate for cancer localization and assessment of aggressiveness.

Author

Stamatelatou, Angeliki, Bertinetto, Carlo Giuseppe, Jansen, Jeroen J., Postma, Geert, Selnæs, Kirsten Margrete, Bathen, Tone F., Heerschap, Arend, Scheenen, Tom W. J., Attenberger, Ulrike I., Baltzer, Pascal A. T., Fütterer, Jurgen J., Haider, Masoom A., Helbich, Thomas H., Kiefer, Berthold, Maas, Marnix C., Macura, Katarzyna J., Margolis, Daniel J. A., Padhani, Anwar R., Polanec, Stephen H., and Praet, Marleen

Subjects
SPECTROSCOPIC imaging, PROSTATE cancer, SINGULAR value decomposition, RECEIVER operating characteristic curves, BENIGN tumors, PROTONS
Abstract

In this study, we investigated the potential of the multivariate curve resolution alternating least squares (MCR‐ALS) algorithm for analyzing three‐dimensional (3D) 1H‐MRSI data of the prostate in prostate cancer (PCa) patients. MCR‐ALS generates relative intensities of components representing spectral profiles derived from a large training set of patients, providing an interpretable model. Our objectives were to classify magnetic resonance (MR) spectra, differentiating tumor lesions from benign tissue, and to assess PCa aggressiveness. We included multicenter 3D 1H‐MRSI data from 106 PCa patients across eight centers. The patient cohort was divided into a training set (N = 63) and an independent test set (N = 43). Singular value decomposition determined that MR spectra were optimally represented by five components. The profiles of these components were extracted from the training set by MCR‐ALS and assigned to specific tissue types. Using these components, MCR‐ALS was applied to the test set for a quantitative analysis to discriminate tumor lesions from benign tissue and to assess tumor aggressiveness. Relative intensity maps of the components were reconstructed and compared with histopathology reports. The quantitative analysis demonstrated a significant separation between tumor and benign voxels (t‐test, p < 0.001). This result was achieved including voxels with low‐quality MR spectra. A receiver operating characteristic analysis of the relative intensity of the tumor component revealed that low‐ and high‐risk tumor lesions could be distinguished with an area under the curve of 0.88. Maps of this component properly identified the extent of tumor lesions. Our study demonstrated that MCR‐ALS analysis of 1H‐MRSI of the prostate can reliably identify tumor lesions and assess their aggressiveness. It handled multicenter data with minimal preprocessing and without using prior knowledge or quality control. These findings indicate that MCR‐ALS can serve as an automated tool to assess the presence, extent, and aggressiveness of tumor lesions in the prostate, enhancing diagnostic capabilities and treatment planning of PCa patients. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Perinatal exposure to the immune-suppressant di-n-octyltin dichloride affects brain development in rats.

Author

de Groot, Didima M. G., Linders, Louisa, Kayser, Reinier, Nederlof, Rianne, de Esch, Celine, Slieker, Roderick C., Kuper, C. Frieke, Wolterbeek, Andre, de Groot, V. Jeroen, Veltien, Andor, Heerschap, Arend, van Waarde, Aren, Dierckx, Rudi A. J. O, and de Vries, Erik F. J.

Subjects
NEURAL development, EMBRYOLOGY, POSITRON emission tomography, STARTLE reaction, SPECIFIC gravity
Abstract

Disruption of the immune system during embryonic brain development by environmental chemicals was proposed as a possible cause of neurodevelopmental disorders. We previously found adverse effects of di-n-octyltin dichloride (DOTC) on maternal and developing immune systems of rats in an extended one-generation reproductive toxicity study according to the OECD 443 test guideline. We hypothesize that the DOTC-induced changes in the immune system can affect neurodevelopment. Therefore, we used in-vivo MRI and PET imaging and genomics, in addition to behavioral testing and neuropathology as proposed in OECD test guideline 443, to investigate the effect of DOTC on structural and functional brain development. Male rats were exposed to DOTC (0, 3, 10, or 30 mg/kg of diet) from 2 weeks prior to mating of the F0-generation until sacrifice of F1-animals. The brains of rats, exposed to DOTC showed a transiently enlarged volume of specific brain regions (MRI), altered specific gravity, and transient hyper-metabolism ([18F]FDG PET). The alterations in brain development concurred with hyper-responsiveness in auditory startle response and slight hyperactivity in young adult animals. Genomics identified altered transcription of key regulators involved in neurodevelopment and neural function (e.g. Nrgrn, Shank3, Igf1r, Cck, Apba2, Foxp2); and regulators involved in cell size, cell proliferation, and organ development, especially immune system development and functioning (e.g. LOC679869, Itga11, Arhgap5, Cd47, Dlg1, Gas6, Cml5, Mef2c). The results suggest the involvement of immunotoxicity in the impairment of the nervous system by DOTC and support the hypothesis of a close connection between the immune and nervous systems in brain development. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Perinatal exposure to the immune-suppressant di-n-octyltin dichloride affects brain development in rats

Author

de Groot, Didima M. G., primary, Linders, Louisa, additional, Kayser, Reinier, additional, Nederlof, Rianne, additional, de Esch, Celine, additional, Slieker, Roderick C., additional, Kuper, C. Frieke, additional, Wolterbeek, Andre, additional, de Groot, V. Jeroen, additional, Veltien, Andor, additional, Heerschap, Arend, additional, van Waarde, Aren, additional, Dierckx, Rudi A. J. O, additional, and de Vries, Erik F. J., additional

Published
2023
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18. Cognitive behavioural therapy with optional graded exercise therapy in patients with severe fatigue with myotonic dystrophy type 1: a multicentre, single-blind, randomised trial

Author

Kierkegaard, Marie, Okkersen, Kees, Jimenez-Moreno, Cecilia, Wenninger, Stephan, Daidj, Ferroudja, Glennon, Jeffrey, Cumming, Sarah, Littleford, Roberta, Monckton, Darren, Lochmüller, Hanns, Catt, Michael, Faber, Catharina, Hapca, Adrian, Donnan, Peter, Gorman, Gráinne, Bassez, Guillaume, Schoser, Benedikt, Knoop, Hans, Treweek, Shaun, van Engelen, Baziel, Maas, Daphne, Nikolaus, Stephanie, Cornelissen, Yvonne, van Nimwegen, Marlies, Klerks, Ellen, Bouman, Sacha, Heskamp, Linda, Heerschap, Arend, Rahmadi, Ridho, Groot, Perry, Heskes, Tom, Kapusta, Katarzyna, Abghari, Shaghayegh, Aschrafi, Armaz, Poelmans, Geert, Raaphorst, Joost, Trenell, Michael, van Laar, Sandra, Wood, Libby, Cassidy, Sophie, Newman, Jane, Charman, Sarah, Steffaneti, Renae, Taylor, Louise, Brownrigg, Allan, Day, Sharon, Atalaya, Antonio, Hogarth, Fiona, Schüller, Angela, Stahl, Kristina, Künzel, Heike, Wolf, Martin, Jelinek, Anna, Lignier, Baptiste, Couppey, Florence, Delmas, Stéphanie, Deux, Jean-François, Hankiewicz, Karolina, Dogan, Celine, Minier, Lisa, Chevalier, Pascale, Hamadouche, Amira, Adam, Berit, Hannah, Michael, McKenzie, Emma, Rauchhaus, Petra, Van Hees, Vincent, Catt, Sharon, Schwalber, Ameli, Merkies, Ingemar, Dittrich, Juliane, Monckton, Darren G, Faber, Catharina G, Donnan, Peter T, and van Engelen, Baziel G M

Published
2018
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25. Author Correction: A consensus protocol for functional connectivity analysis in the rat brain

Author

Grandjean, Joanes, primary, Desrosiers-Gregoire, Gabriel, additional, Anckaerts, Cynthia, additional, Angeles-Valdez, Diego, additional, Ayad, Fadi, additional, Barrière, David A., additional, Blockx, Ines, additional, Bortel, Aleksandra, additional, Broadwater, Margaret, additional, Cardoso, Beatriz M., additional, Célestine, Marina, additional, Chavez-Negrete, Jorge E., additional, Choi, Sangcheon, additional, Christiaen, Emma, additional, Clavijo, Perrin, additional, Colon-Perez, Luis, additional, Cramer, Samuel, additional, Daniele, Tolomeo, additional, Dempsey, Elaine, additional, Diao, Yujian, additional, Doelemeyer, Arno, additional, Dopfel, David, additional, Dvořáková, Lenka, additional, Falfán-Melgoza, Claudia, additional, Fernandes, Francisca F., additional, Fowler, Caitlin F., additional, Fuentes-Ibañez, Antonio, additional, Garin, Clément M., additional, Gelderman, Eveline, additional, Golden, Carla E. M., additional, Guo, Chao C. G., additional, Henckens, Marloes J. A. G., additional, Hennessy, Lauren A., additional, Herman, Peter, additional, Hofwijks, Nita, additional, Horien, Corey, additional, Ionescu, Tudor M., additional, Jones, Jolyon, additional, Kaesser, Johannes, additional, Kim, Eugene, additional, Lambers, Henriette, additional, Lazari, Alberto, additional, Lee, Sung-Ho, additional, Lillywhite, Amanda, additional, Liu, Yikang, additional, Liu, Yanyan Y., additional, López -Castro, Alejandra, additional, López-Gil, Xavier, additional, Ma, Zilu, additional, MacNicol, Eilidh, additional, Madularu, Dan, additional, Mandino, Francesca, additional, Marciano, Sabina, additional, McAuslan, Matthew J., additional, McCunn, Patrick, additional, McIntosh, Alison, additional, Meng, Xianzong, additional, Meyer-Baese, Lisa, additional, Missault, Stephan, additional, Moro, Federico, additional, Naessens, Daphne M. P., additional, Nava-Gomez, Laura J., additional, Nonaka, Hiroi, additional, Ortiz, Juan J., additional, Paasonen, Jaakko, additional, Peeters, Lore M., additional, Pereira, Mickaël, additional, Perez, Pablo D., additional, Pompilus, Marjory, additional, Prior, Malcolm, additional, Rakhmatullin, Rustam, additional, Reimann, Henning M., additional, Reinwald, Jonathan, additional, Del Rio, Rodrigo Triana, additional, Rivera-Olvera, Alejandro, additional, Ruiz-Pérez, Daniel, additional, Russo, Gabriele, additional, Rutten, Tobias J., additional, Ryoke, Rie, additional, Sack, Markus, additional, Salvan, Piergiorgio, additional, Sanganahalli, Basavaraju G., additional, Schroeter, Aileen, additional, Seewoo, Bhedita J., additional, Selingue, Erwan, additional, Seuwen, Aline, additional, Shi, Bowen, additional, Sirmpilatze, Nikoloz, additional, Smith, Joanna A. B., additional, Smith, Corrie, additional, Sobczak, Filip, additional, Stenroos, Petteri J., additional, Straathof, Milou, additional, Strobelt, Sandra, additional, Sumiyoshi, Akira, additional, Takahashi, Kengo, additional, Torres-García, Maria E., additional, Tudela, Raul, additional, van den Berg, Monica, additional, van der Marel, Kajo, additional, van Hout, Aran T. B., additional, Vertullo, Roberta, additional, Vidal, Benjamin, additional, Vrooman, Roël M., additional, Wang, Victora X., additional, Wank, Isabel, additional, Watson, David J. G., additional, Yin, Ting, additional, Zhang, Yongzhi, additional, Zurbruegg, Stefan, additional, Achard, Sophie, additional, Alcauter, Sarael, additional, Auer, Dorothee P., additional, Barbier, Emmanuel L., additional, Baudewig, Jürgen, additional, Beckmann, Christian F., additional, Beckmann, Nicolau, additional, Becq, Guillaume J. P. C., additional, Blezer, Erwin L. A., additional, Bolbos, Radu, additional, Boretius, Susann, additional, Bouvard, Sandrine, additional, Budinger, Eike, additional, Buxbaum, Joseph D., additional, Cash, Diana, additional, Chapman, Victoria, additional, Chuang, Kai-Hsiang, additional, Ciobanu, Luisa, additional, Coolen, Bram F., additional, Dalley, Jeffrey W., additional, Dhenain, Marc, additional, Dijkhuizen, Rick M., additional, Esteban, Oscar, additional, Faber, Cornelius, additional, Febo, Marcelo, additional, Feindel, Kirk W., additional, Forloni, Gianluigi, additional, Fouquet, Jérémie, additional, Garza-Villarreal, Eduardo A., additional, Gass, Natalia, additional, Glennon, Jeffrey C., additional, Gozzi, Alessandro, additional, Gröhn, Olli, additional, Harkin, Andrew, additional, Heerschap, Arend, additional, Helluy, Xavier, additional, Herfert, Kristina, additional, Heuser, Arnd, additional, Homberg, Judith R., additional, Houwing, Danielle J., additional, Hyder, Fahmeed, additional, Ielacqua, Giovanna Diletta, additional, Jelescu, Ileana O., additional, Johansen-Berg, Heidi, additional, Kaneko, Gen, additional, Kawashima, Ryuta, additional, Keilholz, Shella D., additional, Keliris, Georgios A., additional, Kelly, Clare, additional, Kerskens, Christian, additional, Khokhar, Jibran Y., additional, Kind, Peter C., additional, Langlois, Jean-Baptiste, additional, Lerch, Jason P., additional, López-Hidalgo, Monica A., additional, Manahan-Vaughan, Denise, additional, Marchand, Fabien, additional, Mars, Rogier B., additional, Marsella, Gerardo, additional, Micotti, Edoardo, additional, Muñoz-Moreno, Emma, additional, Near, Jamie, additional, Niendorf, Thoralf, additional, Otte, Willem M., additional, Pais-Roldán, Patricia, additional, Pan, Wen-Ju, additional, Prado-Alcalá, Roberto A., additional, Quirarte, Gina L., additional, Rodger, Jennifer, additional, Rosenow, Tim, additional, Sampaio-Baptista, Cassandra, additional, Sartorius, Alexander, additional, Sawiak, Stephen J., additional, Scheenen, Tom W. J., additional, Shemesh, Noam, additional, Shih, Yen-Yu Ian, additional, Shmuel, Amir, additional, Soria, Guadalupe, additional, Stoop, Ron, additional, Thompson, Garth J., additional, Till, Sally M., additional, Todd, Nick, additional, Van Der Linden, Annemie, additional, van der Toorn, Annette, additional, van Tilborg, Geralda A. F., additional, Vanhove, Christian, additional, Veltien, Andor, additional, Verhoye, Marleen, additional, Wachsmuth, Lydia, additional, Weber-Fahr, Wolfgang, additional, Wenk, Patricia, additional, Yu, Xin, additional, Zerbi, Valerio, additional, Zhang, Nanyin, additional, Zhang, Baogui B., additional, Zimmer, Luc, additional, Devenyi, Gabriel A., additional, Chakravarty, M. Mallar, additional, and Hess, Andreas, additional

Published
2023
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26. Supplementary Table 1 from Targeting of 111In-Labeled Dendritic Cell Human Vaccines Improved by Reducing Number of Cells

Author

Aarntzen, Erik H.J.G., primary, Srinivas, Mangala, primary, Bonetto, Fernando, primary, Cruz, Luis J., primary, Verdijk, Pauline, primary, Schreibelt, Gerty, primary, van de Rakt, Mandy, primary, Lesterhuis, W. Joost, primary, van Riel, Maichel, primary, Punt, Cornelius J.A., primary, Adema, Gosse J., primary, Heerschap, Arend, primary, Figdor, Carl G., primary, Oyen, Wim J., primary, and de Vries, I. Jolanda M., primary

Published
2023
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29. Glucose versus fructose metabolism in the liver measured with deuterium metabolic imaging

Author

Highfield Research Group, Cancer, Circulatory Health, Hendriks, Arjan D., Veltien, Andor, Voogt, Ingmar J., Heerschap, Arend, Scheenen, Tom W.J., Prompers, Jeanine J., Highfield Research Group, Cancer, Circulatory Health, Hendriks, Arjan D., Veltien, Andor, Voogt, Ingmar J., Heerschap, Arend, Scheenen, Tom W.J., and Prompers, Jeanine J.

Published
2023

30. Author Correction: A consensus protocol for functional connectivity analysis in the rat brain (Nature Neuroscience, (2023), 26, 4, (673-681), 10.1038/s41593-023-01286-8)

Author

In Vivo NMR ISI, Trialbureau Beeld, Brain, Circulatory Health, Stroke, Hubrecht Institute with UMC, Projectafdeling KIND, Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline, Golden, Carla E.M., Guo, Chao C.G., Henckens, Marloes J.A.G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., López -Castro, Alejandra, López-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M.P., Nava-Gomez, Laura J., Nonaka, Hiroi, Ortiz, Juan J., Paasonen, Jaakko, Peeters, Lore M., Pereira, Mickaël, Perez, Pablo D., Pompilus, Marjory, Prior, Malcolm, Rakhmatullin, Rustam, Reimann, Henning M., Reinwald, Jonathan, Del Rio, Rodrigo Triana, Rivera-Olvera, Alejandro, Ruiz-Pérez, Daniel, Russo, Gabriele, Rutten, Tobias J., Ryoke, Rie, Sack, Markus, Salvan, Piergiorgio, Sanganahalli, Basavaraju G., Schroeter, Aileen, Seewoo, Bhedita J., Selingue, Erwan, Seuwen, Aline, Shi, Bowen, Sirmpilatze, Nikoloz, Smith, Joanna A.B., Smith, Corrie, Sobczak, Filip, Stenroos, Petteri J., Straathof, Milou, Strobelt, Sandra, Sumiyoshi, Akira, Takahashi, Kengo, Torres-García, Maria E., Tudela, Raul, van den Berg, Monica, van der Marel, Kajo, van Hout, Aran T.B., Vertullo, Roberta, Vidal, Benjamin, Vrooman, Roël M., Wang, Victora X., Wank, Isabel, Watson, David J.G., Yin, Ting, Zhang, Yongzhi, Zurbruegg, Stefan, Achard, Sophie, Alcauter, Sarael, Auer, Dorothee P., Barbier, Emmanuel L., Baudewig, Jürgen, Beckmann, Christian F., Beckmann, Nicolau, Becq, Guillaume J.P.C., Blezer, Erwin L.A., Bolbos, Radu, Boretius, Susann, Bouvard, Sandrine, Budinger, Eike, Buxbaum, Joseph D., Cash, Diana, Chapman, Victoria, Chuang, Kai Hsiang, Ciobanu, Luisa, Coolen, Bram F., Dalley, Jeffrey W., Dhenain, Marc, Dijkhuizen, Rick M., Esteban, Oscar, Faber, Cornelius, Febo, Marcelo, Feindel, Kirk W., Forloni, Gianluigi, Fouquet, Jérémie, Garza-Villarreal, Eduardo A., Gass, Natalia, Glennon, Jeffrey C., Gozzi, Alessandro, Gröhn, Olli, Harkin, Andrew, Heerschap, Arend, Helluy, Xavier, Herfert, Kristina, Heuser, Arnd, Homberg, Judith R., Houwing, Danielle J., Hyder, Fahmeed, Ielacqua, Giovanna Diletta, Jelescu, Ileana O., Johansen-Berg, Heidi, Kaneko, Gen, Kawashima, Ryuta, Keilholz, Shella D., Keliris, Georgios A., Kelly, Clare, Kerskens, Christian, Khokhar, Jibran Y., Kind, Peter C., Langlois, Jean Baptiste, Lerch, Jason P., López-Hidalgo, Monica A., Manahan-Vaughan, Denise, Marchand, Fabien, Mars, Rogier B., Marsella, Gerardo, Micotti, Edoardo, Muñoz-Moreno, Emma, Near, Jamie, Niendorf, Thoralf, Otte, Willem M., Pais-Roldán, Patricia, Pan, Wen Ju, Prado-Alcalá, Roberto A., Quirarte, Gina L., Rodger, Jennifer, Rosenow, Tim, Sampaio-Baptista, Cassandra, Sartorius, Alexander, Sawiak, Stephen J., Scheenen, Tom W.J., Shemesh, Noam, Shih, Yen Yu Ian, Shmuel, Amir, Soria, Guadalupe, Stoop, Ron, Thompson, Garth J., Till, Sally M., Todd, Nick, Van Der Linden, Annemie, van der Toorn, Annette, van Tilborg, Geralda A.F., Vanhove, Christian, Veltien, Andor, Verhoye, Marleen, Wachsmuth, Lydia, Weber-Fahr, Wolfgang, Wenk, Patricia, Yu, Xin, Zerbi, Valerio, Zhang, Nanyin, Zhang, Baogui B., Zimmer, Luc, Devenyi, Gabriel A., Chakravarty, M. Mallar, Hess, Andreas, In Vivo NMR ISI, Trialbureau Beeld, Brain, Circulatory Health, Stroke, Hubrecht Institute with UMC, Projectafdeling KIND, Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline, Golden, Carla E.M., Guo, Chao C.G., Henckens, Marloes J.A.G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., López -Castro, Alejandra, López-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M.P., Nava-Gomez, Laura J., Nonaka, Hiroi, Ortiz, Juan J., Paasonen, Jaakko, Peeters, Lore M., Pereira, Mickaël, Perez, Pablo D., Pompilus, Marjory, Prior, Malcolm, Rakhmatullin, Rustam, Reimann, Henning M., Reinwald, Jonathan, Del Rio, Rodrigo Triana, Rivera-Olvera, Alejandro, Ruiz-Pérez, Daniel, Russo, Gabriele, Rutten, Tobias J., Ryoke, Rie, Sack, Markus, Salvan, Piergiorgio, Sanganahalli, Basavaraju G., Schroeter, Aileen, Seewoo, Bhedita J., Selingue, Erwan, Seuwen, Aline, Shi, Bowen, Sirmpilatze, Nikoloz, Smith, Joanna A.B., Smith, Corrie, Sobczak, Filip, Stenroos, Petteri J., Straathof, Milou, Strobelt, Sandra, Sumiyoshi, Akira, Takahashi, Kengo, Torres-García, Maria E., Tudela, Raul, van den Berg, Monica, van der Marel, Kajo, van Hout, Aran T.B., Vertullo, Roberta, Vidal, Benjamin, Vrooman, Roël M., Wang, Victora X., Wank, Isabel, Watson, David J.G., Yin, Ting, Zhang, Yongzhi, Zurbruegg, Stefan, Achard, Sophie, Alcauter, Sarael, Auer, Dorothee P., Barbier, Emmanuel L., Baudewig, Jürgen, Beckmann, Christian F., Beckmann, Nicolau, Becq, Guillaume J.P.C., Blezer, Erwin L.A., Bolbos, Radu, Boretius, Susann, Bouvard, Sandrine, Budinger, Eike, Buxbaum, Joseph D., Cash, Diana, Chapman, Victoria, Chuang, Kai Hsiang, Ciobanu, Luisa, Coolen, Bram F., Dalley, Jeffrey W., Dhenain, Marc, Dijkhuizen, Rick M., Esteban, Oscar, Faber, Cornelius, Febo, Marcelo, Feindel, Kirk W., Forloni, Gianluigi, Fouquet, Jérémie, Garza-Villarreal, Eduardo A., Gass, Natalia, Glennon, Jeffrey C., Gozzi, Alessandro, Gröhn, Olli, Harkin, Andrew, Heerschap, Arend, Helluy, Xavier, Herfert, Kristina, Heuser, Arnd, Homberg, Judith R., Houwing, Danielle J., Hyder, Fahmeed, Ielacqua, Giovanna Diletta, Jelescu, Ileana O., Johansen-Berg, Heidi, Kaneko, Gen, Kawashima, Ryuta, Keilholz, Shella D., Keliris, Georgios A., Kelly, Clare, Kerskens, Christian, Khokhar, Jibran Y., Kind, Peter C., Langlois, Jean Baptiste, Lerch, Jason P., López-Hidalgo, Monica A., Manahan-Vaughan, Denise, Marchand, Fabien, Mars, Rogier B., Marsella, Gerardo, Micotti, Edoardo, Muñoz-Moreno, Emma, Near, Jamie, Niendorf, Thoralf, Otte, Willem M., Pais-Roldán, Patricia, Pan, Wen Ju, Prado-Alcalá, Roberto A., Quirarte, Gina L., Rodger, Jennifer, Rosenow, Tim, Sampaio-Baptista, Cassandra, Sartorius, Alexander, Sawiak, Stephen J., Scheenen, Tom W.J., Shemesh, Noam, Shih, Yen Yu Ian, Shmuel, Amir, Soria, Guadalupe, Stoop, Ron, Thompson, Garth J., Till, Sally M., Todd, Nick, Van Der Linden, Annemie, van der Toorn, Annette, van Tilborg, Geralda A.F., Vanhove, Christian, Veltien, Andor, Verhoye, Marleen, Wachsmuth, Lydia, Weber-Fahr, Wolfgang, Wenk, Patricia, Yu, Xin, Zerbi, Valerio, Zhang, Nanyin, Zhang, Baogui B., Zimmer, Luc, Devenyi, Gabriel A., Chakravarty, M. Mallar, and Hess, Andreas

Published
2023

41. Response Monitoring with [18F]FLT PET and Diffusion-Weighted MRI After Cytotoxic 5-FU Treatment in an Experimental Rat Model for Colorectal Liver Metastases

Author

Heskamp, Sandra, Heijmen, Linda, Gerrits, Danny, Molkenboer-Kuenen, Janneke D. M., ter Voert, Edwin G. W., Heinzmann, Kathrin, Honess, Davina J., Smith, Donna-Michelle, Griffiths, John R., Doblas, Sabrina, Sinkus, Ralph, Laverman, Peter, Oyen, Wim J. G., Heerschap, Arend, and Boerman, Otto C.

Published
2017
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47. Absolute choline tissue concentration mapping for prostate cancer localization and characterization using 3D 1 H MRSI without water-signal suppression

Author

Tayari, Nassim, Wright, Alan J, Heerschap, Arend, Wright, Alan J [0000-0002-4577-5681], Heerschap, Arend [0000-0001-9930-4562], and Apollo - University of Cambridge Repository

Subjects
Male, water signal, Magnetic Resonance Spectroscopy, choline, 1H MR spectroscopic imaging, absolute quantification, Prostate, Humans, Prostatic Neoplasms, Water, prostate cancer
Abstract

PURPOSE: Until now, 1 H MRSI of the prostate has been performed with suppression of the large water signal to avoid distortions of metabolite signals. However, this signal can be used for absolute quantification and spectral corrections. We investigated the feasibility of water-unsuppressed MRSI in patients with prostate cancer for water signal-mediated spectral quality improvement and determination of absolute tissue levels of choline. METHODS: Eight prostate cancer patients scheduled for radical prostatectomy underwent multi-parametric MRI at 3 T, including 3D water-unsuppressed semi-LASER MRSI. A postprocessing algorithm was developed to remove the water signal and its artifacts and use the extracted water signal as intravoxel reference for phase and frequency correction of metabolite signals and for absolute metabolite quantification. RESULTS: Water-unsuppressed MRSI with dedicated postprocessing produced water signal and artifact-free MR spectra throughout the prostate. In all patients, the absolute choline tissue concentration was significantly higher in tumorous than in benign tissue areas (mean ± SD: 7.2 ± 1.4 vs 3.8 ± 0.7 mM), facilitating tumor localization by choline mapping. Tumor tissue levels of choline correlated better with the commonly used (choline + spermine + creatine)/citrate ratio (r = 0.78 ± 0.1) than that of citrate (r = 0.21 ± 0.06). The highest maximum choline concentrations occurred in high-risk cancer foci. CONCLUSION: This report presents the first successful water-unsuppressed MRSI of the whole prostate. The water signal enabled amelioration of spectral quality and absolute metabolite quantification. In this way, choline tissue levels were identified as tumor biomarker. Choline mapping may serve as a tool in prostate cancer localization and risk scoring in multi-parametric MRI for diagnosis and biopsy procedures.

Published
2022

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