Article
Radiology, Nuclear Medicine & Medical Imaging
Laura Rozenblum, Timothee Zaragori, Suzanne Tran, Andrea Morales-Martinez, Luc Taillandier, Marie Blonski, Fabien Rech, Damien Galanaud, Aurelie Kas, Antoine Verger
Summary: This study assesses the diagnostic value of static and dynamic [F-18]FDOPA PET acquisitions in distinguishing between high-grade glioma recurrence and treatment-related changes. The results show that TBRmean parameter of [F-18]FDOPA PET has good diagnostic ability in the overall population, while curve slope is significantly different only in IDH-mutant HGGs. MTV and curve slope were identified as independent predictors of progression-free survival and overall survival.
EUROPEAN RADIOLOGY
(2023)
Article
Immunology
Tiina Vesterinen, Jenni Saila, Sami Blom, Mirkka Pennanen, Helena Leijon, Johanna Arola
Summary: A deep learning-based Ki-67 PI algorithm (KAI) was developed to objectively calculate the Ki-67 proliferation index in neuroendocrine tumors (NETs). The algorithm yields results similar to human observers and can assist in the assessment of Ki-67 PI in NETs.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuping Yin, Jiachen Liu, Runlu Sun, Xuming Liu, Zhangchi Zhou, Hong Zhang, Dan Li
Summary: This study explores the association between the Ki-67 index and FDG-avidity in HCC tumors using 18F-FDG PET/CT. The findings reveal a positive correlation between FDG-avidity and Ki-67 index, and suggest that when the Ki-67 index exceeds 17.5%, 18F-FDG PET/CT can serve as a useful indicator for HCC.
ABDOMINAL RADIOLOGY
(2023)
Article
Medicine, General & Internal
Talat Zehra, Mahin Shams, Rabia Ali, Asad Jafri, Amna Khurshid, Humaira Erum, Hanna Naqvi, Jamshid Abdul-Ghafar
Summary: This study evaluates the performance of the open-source deep learning platform DeepLIIF in quantifying Ki-67 expression in neuroendocrine tumors and compares it with manual assessments. The results show that DeepLIIF achieves high accuracy and reduces analysis time, making it valuable for clinical practice. This study highlights the potential of open-source deep learning platforms in enhancing diagnostic accuracy and patient care in the field of neuroendocrine oncology.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2023)
Article
Pediatrics
Hsin-Ju Lee, Chun-Chun Gau, Wan-Fang Lee, Wen- Lee, Jing-Long Huang, Shih-Hsiang Chen, Ho-Yu Yeh, Chi-Jou Liang, Shih-Hang Fu
Summary: This study aimed to investigate whether non-radioactive assays can be used to quantitatively detect lymphocyte proliferation, establishing normal ranges of mitogen-stimulated lymphocyte proliferation for comparison and diagnosis references.
FRONTIERS IN PEDIATRICS
(2022)
Article
Clinical Neurology
Omaditya Khanna, Anahita Fathi Kazerooni, Sherjeel Arif, Aria Mahtabfar, Arbaz A. Momin, Carrie E. Andrews, Karim Hafazalla, Michael P. Baldassari, Lohit Velagapudi, Jose A. Garcia, Chiharu Sako, Christopher J. Farrell, James J. Evans, Kevin D. Judy, David W. Andrews, Adam E. Flanders, Wenyin Shi, Christos Davatzikos
Summary: In this study, the authors identified multiparametric MRI radiomic signatures of meningiomas using Ki-67 as a prognostic marker of clinical outcomes. They developed a machine learning algorithm to stratify meningiomas based on Ki-67 indices and found that the Ki-67 proliferation index can serve as a surrogate marker of increased meningioma aggressiveness independent of WHO grade. Machine learning using radiomic feature analysis may be used for the preoperative prediction of meningioma Ki-67, providing enhanced analytical insights to help improve diagnostic classification and guide patient-specific treatment strategies.
NEUROSURGICAL FOCUS
(2023)
Article
Oncology
Cai-Wei Yang, Xi-Jiao Liu, Lian Zhao, Feng Che, Yuan Yin, Hui-Jiao Chen, Bo Zhang, Min Wu, Bin Song
Summary: Preoperative CT features can be used to predict GISTs with a high Ki-67 proliferation index. Imaging features such as wall thickness, necrosis, and HYOM were significant predictors for GISTs with high Ki-67 PI.
ANNALS OF TRANSLATIONAL MEDICINE
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Anna Goujon, Gabriel Pop, Julien Hissier, Benjamin Moreau, Xavier Palard-Novello
Summary: A 53-year-old man with chronic kidney failure underwent F-18-FDOPA PET/CT scan for a mass located on the right spermatic cord. Previous pathological analysis of CT-guided biopsies suggested paraganglioma or metastatic lesion of pheochromocytoma. Serum normetanephrine and serum metanephrine values were elevated, but could be explained by the chronic kidney failure. PET/CT images showed intense F-18-FDOPA uptake of the mass without any other pathological findings, suggesting the diagnosis of paraganglioma. Pathological examination of surgical specimen confirmed the diagnosis of paraganglioma of the spermatic cord, which is exceptional.
CLINICAL NUCLEAR MEDICINE
(2023)
Article
Cell Biology
Rosa Patruno, Giuseppe Passantino, Carmelo Laface, Antonella Tinelli, Alfredo Zito, Roberta Ruggieri, Francesco Luposella, Pietro Gadaleta, Mariarita Laforgia, Luca Lacitignola, Michele Ammendola, Girolamo Ranieri, Nicola Zizzo
Summary: The study focused on the correlation among microvascular density (MVD), endothelial area (EA), and Ki-67 proliferative index in tissue samples from cats affected by post-injection fibrosarcomas, aiming to demonstrate that cats may be a useful animal model for studying human diseases.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Betty Salgues, Elsa Kaphan, Elicia Molines, Gilles Brun, Eric Guedj
Summary: The study presented a 42-year-old female patient with primary central nervous system lymphoma (PCNSL) and strong uptake on F-18-FDOPA PET, similar to previous findings with C-11-MET PET. Therefore, PCNSL should be considered as a possible differential neoplastic diagnosis in cases of F-18-FDOPA uptake.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jacques Darcourt, David Chardin, Veronique Bourg, Jocelyn Gal, Renaud Schiappa, Marie Blonski, Pierre-Malick Koulibaly, Fabien Almairac, Lydiane Mondot, Florence Le Jeune, Laurent Collombier, Aurelie Kas, Luc Taillandier, Antoine Verger
Summary: The diagnostic value of [F-18]FDOPA PET in patients with suspected recurrent gliomas is significant. A multicentre study found that [F-18]FDOPA PET can change the management for more than 20% of patients and increase the confidence level of multidisciplinary board decisions.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiao-Shan Chen, Ying-Chan Shan, San-Yuan Dong, Wen-Tao Wang, Yu-Tao Yang, Li-Heng Liu, Zhi-Han Xu, Meng-Su Zeng, Sheng-Xiang Rao
Summary: This study aimed to evaluate the predictive value of preoperative CT features for Ki-67LI in gastric GISTs. Significant differences were found in various morphologic and quantitative features between high-level and low-level Ki-67LI groups. Multivariate logistic regression analysis identified lobulated/irregular shape and high necrosis volume ratio as independent factors associated with high-level Ki-67LI.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Clinical Neurology
Yuki Shinya, Hirotaka Hasegawa, Masahiro Shin, Mariko Kawashima, Motoyuki Umekawa, Atsuto Katano, Masako Ikemura, Tetsuo Ushiku, Kenta Ohara, Atsushi Okano, Yu Teranishi, Satoru Miyawaki, Nobuhito Saito
Summary: This study aimed to identify the predictive factors for tumor progression after stereotactic radiosurgery (SRS) in patients with World Health Organization (WHO) grade I skull base meningioma (SBM), with a focus on the Ki-67 labeling index (LI).
Article
Medicine, General & Internal
Guangda Xu, Chengxue Li, Yanguo Wang, Jinan Ma, Junchen Zhang
Summary: This study found that preoperative inflammatory markers NLR, PLR, PNI, and postoperative Ki-67 expression are significantly correlated with the pathological grade of glioma, which may aid in predicting the prognosis of glioma more accurately.
Article
Neurosciences
Yanxiao Li, Yee Ling Ng, Manish D. Paranjpe, Qi Ge, Fengyun Gu, Panlong Li, Shaozhen Yan, Jie Lu, Xiuying Wang, Yun Zhou
Summary: This study aimed to improve the statistical power in detecting changes in brain glucose metabolism, amyloid, and tau deposition in Alzheimer's disease studies by using a reference tissue-based quantification approach. The results showed that the tracer-specific reference tissue improved the detection of PET SUVR changes, which is beneficial for early diagnosis, disease progression monitoring, and therapeutic response in Alzheimer's disease.
HUMAN BRAIN MAPPING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Philippe Brunner, Ann-Catherine Jorg, Katharina Glatz, Lukas Bubendorf, Piotr Radojewski, Maria Umlauft, Nicolas Marincek, Petar-Marko Spanjol, Thomas Krause, Rebecca A. Dumont, Helmut R. Maecke, Jan Mueller-Brand, Matthias Briel, Anja Schmitt, Aurel Perren, Martin A. Walter
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Maria Umlauft, Piotr Radojewski, Petar-Marko Spanjol, Rebecca Dumont, Nicolas Marincek, Attila Kollar, Philippe Brunner, Jan Beyersmann, Jan Mueller-Brand, Helmut R. Maecke, Markus Laimer, Martin A. Walter
JOURNAL OF NUCLEAR MEDICINE
(2017)
Article
Pediatrics
Stefan Schandelmaier, Yuki Tomonaga, Dirk Bassler, Joerg J. Meerpohl, Erik von Elm, John J. You, Anette Bluemle, Francois Lamontagne, Ramon Saccilotto, Alain Amstutz, Theresa Bengough, Mihaela Stegert, Kelechi K. Olu, Kari A. O. Tikkinen, Ignacio Neumann, Alonso Carrasco-Labra, Markus Faulhaber, Sohail M. Mulla, Dominik Mertz, Elie A. Akl, Xin Sun, Jason W. Busse, Ignacio Ferreira-Gonzalez, Alain Nordmann, Viktoria Gloy, Heike Raatz, Lorenzo Moja, Rachel Rosenthal, Shanil Ebrahim, Per O. Vandvik, Bradley C. Johnston, Martin A. Walter, Bernard Burnand, Matthias Schwenkglenks, Lars G. Hemkens, Gordon Guyatt, Heiner C. Bucher, Benjamin Kasenda, Matthias Briel
JOURNAL OF PEDIATRICS
(2017)
Article
Oncology
Birke Bausch, Francesca Schiavi, Ying Ni, Jenny Welander, Attila Patocs, Joanne Ngeow, Ulrich Wellner, Angelica Malinoc, Elisa Taschin, Giovanni Barbon, Virginia Lanza, Peter Soederkvist, Adam Stenman, Catharina Larsson, Fredrika Svahn, Jin-Lian Chen, Jessica Marquard, Merav Fraenkel, Martin A. Walter, Mariola Peczkowska, Aleksander Prejbisz, Barbara Jarzab, Kornelia Hasse-Lazar, Stephan Petersenn, Lars C. Moeller, Almuth Meyer, Nicole Reisch, Arnold Trupka, Christoph Brase, Matthias Galiano, Simon F. Preuss, Pingling Kwok, Nikoletta Lendvai, Gani Berisha, Ozer Makay, Carsten C. Boedeker, Georges Weryha, Karoly Racz, Andrzej Januszewicz, Martin K. Walz, Oliver Gimm, Giuseppe Opocher, Charis Eng, Hartmut P. H. Neumann
Review
Radiology, Nuclear Medicine & Medical Imaging
Riemer H. J. A. Slart, Andor W. J. M. Glaudemans, Panithaya Chareonthaitawee, Giorgio Treglia, Florent L. Besson, Thorsten A. Bley, Daniel Blockmans, Ronald Boellaard, Jan Buceriu, Jose Manuel Carril, Wengen Chen, Maria C. Cid, Bhaskar Dagupta, Sharmila Dorbala, Olivier Gheysens, Fabien Hyafil, Shaifali Jain, Thorsten Klink, Conny J. van der Laken, Francisco Lomena, Michela Massollo, Sergio Prieto-Gonzalez, Raashid Luqmani, Anne Roivainen, Carlo Salvarani, Antti Saraste, Michael Schirmer, Hein J. Verberne, Annibale Versari, Alexandre E. Voskuyl, Martin A. Walter, Dario Camellino, Elisabeth Brouwer, Marco A. Cimmino, Aiden Abidov, Denis Agostini, Rob S. Beanlands, Roberto C. Delgado-Bolton, Andrew J. Einstein, Alessia Gimelli, Edward J. Miller, Roberto Sciagra, Alberto Signore
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Oussama ElMokh, Vincent Taelman, Piotr Radojewski, Matthias A. Roelli, Amandine Stoss, Rebecca A. Dumont, Matthias S. Dettmer, Wayne A. Phillips, Martin A. Walter, Roch-Philippe Charles
JOURNAL OF NUCLEAR MEDICINE
(2019)
Article
Oncology
Esben Andreas Carlsen, Nicola Fazio, Dan Granberg, Simona Grozinsky-Glasberg, Hojjat Ahmadzadehfar, Chiara Maria Grana, Wouter T. Zandee, Jaroslaw Cwikla, Martin A. Walter, Peter Sandor Oturai, Anja Rinke, Andrew Weaver, Andrea Frilling, Sara Gritti, Anne Kirstine Arveschoug, Amichay Meirovitz, Ulrich Knigge, Halfdan Sorbye
ENDOCRINE-RELATED CANCER
(2019)
Review
Oncology
Reto M. Kaderli, Marko Spanjol, Attila Kollar, Lukas Butikofer, Viktoria Gloy, Rebecca A. Dumont, Christian A. Seiler, Emanuel R. Christ, Piotr Radojewski, Matthias Briel, Martin A. Walter
Article
Surgery
Dominik A. Jakob, Philipp Riss, Christian Scheuba, Michael Hermann, Corina Kim-Fuchs, Christian A. Seiler, Martin A. Walter, Reto M. Kaderli
WORLD JOURNAL OF SURGERY
(2019)
Review
Surgery
Olivier Rager, Piotr Radojewski, Rebecca A. Dumont, Giorgio Treglia, Luca Giovanella, Martin A. Walter
Article
Radiology, Nuclear Medicine & Medical Imaging
O. Maas, F. Forrer, M. Maas, C. M. Panje, J. Blautzik, M. Bruhlmeier, I. Engel-Bicik, L. Giovanella, A. Haldemann, M. E. Kamel, S. Kneifel, C. Rottenburger, N. Schaefer, M. A. Walter, S. Weidner, P. M. Putora
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2020)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
O. C. Maas, M. Maas, P. M. Putora, C. M. Panje, J. Blautzik, M. Bruhlmeier, I. Engel-Bizik, L. Giovanella, A. Haldemann, M. E. Kamel, S. Kneifel, C. Rottenburger, N. Schafer, M. A. Walter, S. Weidner, F. Forrer
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2019)
Meeting Abstract
Surgery
R. Kaderli, M. Spanjol, A. Kollar, L. Butikofer, V. Gloy, C. A. Seiler, E. R. Christ, P. Radojewski, M. Briel, M. A. Walter
BRITISH JOURNAL OF SURGERY
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
C. Boy, T. Poeppel, J. Kotzerke, B. J. Krause, H. Amthauer, R. P. Baum, I. Buchmann, S. Ezziddin, D. Fuehrer, M. Gabriel, T. Kuwert, H. Lahner, T. Lauenstein, H. R. Maecke, J. Nagarajah, F. Roesch, K. Scheidhauer, M. Schmidt, M. A. Walter, A. Bockisch
NUKLEARMEDIZIN-NUCLEAR MEDICINE
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Olivier Rager, Stephanie A. Lee-Felker, Claire Tabouret-Viaud, Ely R. Felker, Antoine Poncet, Gael Amzalag, Valentina Garibotto, Habib Zaidi, Martin A. Walter
AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2018)