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292 results on '"Fichtinger, Gabor"'

1. Testing of rapid evaporative mass spectrometry for histological tissue classification and molecular diagnostics in a multi-site study

Author

Kaufmann, Martin, Vaysse, Pierre-Maxence, Savage, Adele, Kooreman, Loes F. S., Janssen, Natasja, Varma, Sonal, Ren, Kevin Yi Mi, Merchant, Shaila, Engel, Cecil Jay, Olde Damink, Steven W. M., Smidt, Marjolein L., Shousha, Sami, Chauhan, Hemali, Karali, Evdoxia, Kazanc, Emine, Poulogiannis, George, Fichtinger, Gabor, Tauber, Boglárka, Leff, Daniel R., Pringle, Steven D., Rudan, John F., Heeren, Ron M. A., Porta Siegel, Tiffany, Takáts, Zoltán, and Balog, Júlia

Published
2024
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11. Surgical data science – from concepts toward clinical translation

Author

Maier-Hein, Lena, Eisenmann, Matthias, Sarikaya, Duygu, März, Keno, Collins, Toby, Malpani, Anand, Fallert, Johannes, Feussner, Hubertus, Giannarou, Stamatia, Mascagni, Pietro, Nakawala, Hirenkumar, Park, Adrian, Pugh, Carla, Stoyanov, Danail, Vedula, Swaroop S., Cleary, Kevin, Fichtinger, Gabor, Forestier, Germain, Gibaud, Bernard, Grantcharov, Teodor, Hashizume, Makoto, Heckmann-Nötzel, Doreen, Kenngott, Hannes G., Kikinis, Ron, Mündermann, Lars, Navab, Nassir, Onogur, Sinan, Roß, Tobias, Sznitman, Raphael, Taylor, Russell H., Tizabi, Minu D., Wagner, Martin, Hager, Gregory D., Neumuth, Thomas, Padoy, Nicolas, Collins, Justin, Gockel, Ines, Goedeke, Jan, Hashimoto, Daniel A., Joyeux, Luc, Lam, Kyle, Leff, Daniel R., Madani, Amin, Marcus, Hani J., Meireles, Ozanan, Seitel, Alexander, Teber, Dogu, Ückert, Frank, Müller-Stich, Beat P., Jannin, Pierre, and Speidel, Stefanie

Published
2022
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24. Molecular characterization of human peripheral nerves using desorption electrospray ionization mass spectrometry imaging.

Author

Tomalty, Diane, Giovannetti, Olivia, Velikonja, Leah, Munday, Jasica, Kaufmann, Martin, Iaboni, Natasha, Jamzad, Amoon, Rubino, Rachel, Fichtinger, Gabor, Mousavi, Parvin, Nicol, Christopher J. B., Rudan, John F., and Adams, Michael A.

Subjects
DESORPTION ionization mass spectrometry, ELECTROSPRAY ionization mass spectrometry, PERIPHERAL nervous system, MASS spectrometry, NEUROANATOMY, NERVE tissue
Abstract

Desorption electrospray ionization mass spectrometry imaging (DESI‐MSI) is a molecular imaging method that can be used to elucidate the small‐molecule composition of tissues and map their spatial information using two‐dimensional ion images. This technique has been used to investigate the molecular profiles of variety of tissues, including within the central nervous system, specifically the brain and spinal cord. To our knowledge, this technique has yet to be applied to tissues of the peripheral nervous system (PNS). Data generated from such analyses are expected to advance the characterization of these structures. The study aimed to: (i) establish whether DESI‐MSI can discriminate the molecular characteristics of peripheral nerves and distinguish them from surrounding tissues and (ii) assess whether different peripheral nerve subtypes are characterized by unique molecular profiles. Four different nerves for which are known to carry various nerve fiber types were harvested from a fresh cadaveric donor: mixed, motor and sensory (sciatic and femoral); cutaneous, sensory (sural); and autonomic (vagus). Tissue samples were harvested to include the nerve bundles in addition to surrounding connective tissue. Samples were flash‐frozen, embedded in optimal cutting temperature compound in cross‐section, and sectioned at 14 μm. Following DESI‐MSI analysis, identical tissue sections were stained with hematoxylin and eosin. In this proof‐of‐concept study, a combination of multivariate and univariate statistical methods was used to evaluate molecular differences between the nerve and adjacent tissue and between nerve subtypes. The acquired mass spectral profiles of the peripheral nerve samples presented trends in ion abundances that seemed to be characteristic of nerve tissue and spatially corresponded to the associated histology of the tissue sections. Principal component analysis (PCA) supported the separation of the samples into distinct nerve and adjacent tissue classes. This classification was further supported by the K‐means clustering analysis, which showed separation of the nerve and background ions. Differences in ion expression were confirmed using ANOVA which identified statistically significant differences in ion expression between the nerve subtypes. The PCA plot suggested some separation of the nerve subtypes into four classes which corresponded with the nerve types. This was supported by the K‐means clustering. Some overlap in classes was noted in these two clustering analyses. This study provides emerging evidence that DESI‐MSI is an effective tool for metabolomic profiling of peripheral nerves. Our results suggest that peripheral nerves have molecular profiles that are distinct from the surrounding connective tissues and that DESI‐MSI may be able to discriminate between nerve subtypes. DESI‐MSI of peripheral nerves may be a valuable technique that could be used to improve our understanding of peripheral nerve anatomy and physiology. The ability to utilize ambient mass spectrometry techniques in real time could also provide an unprecedented advantage for surgical decision making, including in nerve‐sparing procedures in the future. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Metabolically Active Zones Involving Fatty Acid Elongation Delineated by DESI-MSI Correlate with Pathological and Prognostic Features of Colorectal Cancer.

Author

Kaufmann, Martin, Iaboni, Natasha, Jamzad, Amoon, Hurlbut, David, Ren, Kevin Yi Mi, Rudan, John F., Mousavi, Parvin, Fichtinger, Gabor, Varma, Sonal, Caycedo-Marulanda, Antonio, and Nicol, Christopher J. B.

Subjects
DESORPTION ionization mass spectrometry, ELECTROSPRAY ionization mass spectrometry, COLORECTAL cancer, FATTY acids, PROGNOSIS, LATENT structure analysis
Abstract

Colorectal cancer (CRC) is the second leading cause of cancer deaths. Despite recent advances, five-year survival rates remain largely unchanged. Desorption electrospray ionization mass spectrometry imaging (DESI) is an emerging nondestructive metabolomics-based method that retains the spatial orientation of small-molecule profiles on tissue sections, which may be validated by 'gold standard' histopathology. In this study, CRC samples were analyzed by DESI from 10 patients undergoing surgery at Kingston Health Sciences Center. The spatial correlation of the mass spectral profiles was compared with histopathological annotations and prognostic biomarkers. Fresh frozen sections of representative colorectal cross sections and simulated endoscopic biopsy samples containing tumour and non-neoplastic mucosa for each patient were generated and analyzed by DESI in a blinded fashion. Sections were then hematoxylin and eosin (H and E) stained, annotated by two independent pathologists, and analyzed. Using PCA/LDA-based models, DESI profiles of the cross sections and biopsies achieved 97% and 75% accuracies in identifying the presence of adenocarcinoma, using leave-one-patient-out cross validation. Among the m/z ratios exhibiting the greatest differential abundance in adenocarcinoma were a series of eight long-chain or very-long-chain fatty acids, consistent with molecular and targeted metabolomics indicators of de novo lipogenesis in CRC tissue. Sample stratification based on the presence of lympovascular invasion (LVI), a poor CRC prognostic indicator, revealed the abundance of oxidized phospholipids, suggestive of pro-apoptotic mechanisms, was increased in LVI-negative compared to LVI-positive patients. This study provides evidence of the potential clinical utility of spatially-resolved DESI profiles to enhance the information available to clinicians for CRC diagnosis and prognosis. [ABSTRACT FROM AUTHOR]

Published
2023
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50. The use of 3D digital anatomy model improves the communication with patients presenting with prostate disease: The first experience in Senegal.

Author

Diao, Babacar, Bagayogo, Ndèye Aissatou, Carreras, Nayra Pumar, Halle, Michael, Ruiz-Alzola, Juan, Ungi, Tamas, Fichtinger, Gabor, and Kikinis, Ron

Subjects
PROSTATE diseases, PROSTATE, COMMUNICATION models, INFORMED consent (Medical law), ANATOMY, DISEASE management
Abstract

Objectives: We hypothesized that the use of an interactive 3D digital anatomy model can improve the quality of communication with patients about prostate disease. Methods: A 3D digital anatomy model of the prostate was created from an MRI scan, according to McNeal's zonal anatomy classification. During urological consultation, the physician presented the digital model on a computer and used it to explain the disease and available management options. The experience of patients and physicians was recorded in questionnaires. Results: The main findings were as follows: 308 patients and 47 physicians participated in the study. In the patient group, 96.8% reported an improved level of understanding of prostate disease and 90.6% reported an improved ability to ask questions during consultation. Among the physicians, 91.5% reported improved communication skills and 100% reported an improved ability to obtain patient consent for subsequent treatment. At the same time, 76.6% of physicians noted that using the computer model lengthened the consultation. Conclusion: This exploratory study found that the use of a 3D digital anatomy model in urology consultations was received overwhelmingly favorably by both patients and physicians, and it was perceived to improve the quality of communication between patient and physician. A randomized study is needed to confirm the preliminary findings and further quantify the improvements in the quality of patient-physician communication. [ABSTRACT FROM AUTHOR]

Published
2022
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