Article
Radiology, Nuclear Medicine & Medical Imaging
Laura Harper, Curtis Simmons, Mark Nathan, Gita Thanarajasingam, Hidong Kim, Jason Young
Summary: The study established normal testicular SUV ranges among adult men in North America, showing significant differences in SUV values across age groups and a negative correlation between blood glucose level and testicular SUVmean.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kim Ben Tikva Kagan, Dmitri Guz, Shira Buchrits, Ronit Gurion, Iuliana Vaxman, Miriam Priss, David Groshar, Onofrio A. Catalano, Adi Sherban, Pia Raanani, Anat Gafter-Gvili, Hanna Bernstine
Summary: In this retrospective cohort study, prediction models for FDG uptake and SUVmax in MZL patients were presented, aiming to help clinicians choose suitable patients for FDG-PET/CT staging and monitoring of the disease.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Songye Li, Mika Naganawa, Richard Pracitto, Soheila Najafzadeh, Daniel Holden, Shannan Henry, David Matuskey, Paul R. Emery, Zhengxin Cai, Jim Ropchan, Nabeel Nabulsi, Richard E. Carson, Yiyun Huang
Summary: The study demonstrated that [F-18]SynVesT-1 has excellent imaging and binding properties in humans, with fast and high brain uptake, appropriate tissue kinetics, high levels of specific binding, and excellent test-retest reproducibility. Therefore, [F-18]SynVesT-1 is proven to be a favorable radiotracer for SV2A imaging and quantification in humans.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Multidisciplinary Sciences
Paulina Cegla, Frank Hofheinz, Ewa Burchardt, Rafal Czepczynski, Anna Kubiak, Joerg van den Hoff, Pavel Nikulin, Agnieszka Bos-Liedke, Andrzej Roszak, Witold Cholewinski
Summary: The study aimed to assess the prognostic value of asphericity (ASP) and standardized uptake ratio (SUR) in cervical cancer patients. A retrospective analysis was conducted on 508 previously untreated cervical cancer patients. The study showed that ASP and metabolic tumor volume (MTV) were prognostic factors for all investigated endpoints, while SUR and maximum standardized uptake value (SUVmax) were not. The alternative parameter ASP has the potential to improve the prognostic value of [F-18]FDG PET/CT for event-free survival and locoregional control in radically treated cervical cancer patients.
SCIENTIFIC REPORTS
(2023)
Article
Oncology
Akira Watanabe, Norifumi Harimoto, Kenichiro Araki, Norio Kubo, Takamichi Igarashi, Mariko Tsukagoshi, Norihiro Ishii, Keitaro Hirai, Hiroshi Tanaka, Yasushi Mochida, Norimichi Kogure, Tetsuya Higuchi, Ken Shirabe
Summary: This study found that FDG-PET has value in predicting tumor invasion in ampullary cancer, with SUVmax showing significant correlation with tumor invasion and lymph node metastasis. This suggests that FDG-PET can be a useful tool in preoperative staging and treatment strategy.
JOURNAL OF SURGICAL ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Annan Zhang, Xiangxi Meng, Yuan Yao, Xin Zhou, Yan Zhang, Nan Li
Summary: This study compared the application of [Ga-68]Ga-DOTA-FAPI-04 and [F-18]FDG PET/CT in fibro-blastic tumors. The results showed that [Ga-68]Ga-DOTA-FAPI-04 outperformed [F-18]FDG PET/CT in displaying the primary, recurrent and metastatic lesions.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Biology
Eric Desjardins, Joachim Kurtz, Nina Kranke, Ana Lindeza, S. Helene Richter
Summary: Discussions on reproducibility in the life sciences are raising doubts about the credibility of experimental outcomes. Experimental evolution, often excluded from these discussions, also faces issues with reproducibility due to contingencies affecting the evolutionary process. While standardization is commonly seen as a solution for internal validity in experimental studies, it may reduce external validity and reproducibility. Alternative approaches, such as systematic heterogenization of experimental factors, are proposed as promising solutions, drawing insights from animal research and ecology.
Article
Radiology, Nuclear Medicine & Medical Imaging
Haiqun Xing, Haiyan Ding, Bo Hou, Zhixin Hao, Ya Hu, Wenjia Zhu, Sayuan Liang, Feng Feng, Fang Li, Yupei Zhao, Li Huo
Summary: This study compared the performance of F-18-FDG PET/MRI and PET/CT in the clinical evaluation of pancreatic neoplasms. The results showed that both PET/MRI and PET/CT had comparable overall performance in identifying pancreatic neoplasms. However, PET/MRI showed better performance for patients with suspected pancreatic neoplasms but no visible FDG uptake on PET/CT.
MOLECULAR IMAGING AND BIOLOGY
(2022)
Article
Oncology
Kjersti Skipar, Tord Hompland, Kjersti Vassmo Lund, Ayca Londalen, Eirik Malinen, Gunnar B. Kristensen, Kristina Lindemann, Esten S. Nakken, Kjersti Bruheim, Heidi Lyng
Summary: This study investigated the potential of a multimodal combination of imaging parameters for classifying patients with locally advanced cervical cancer (LACC). The results showed that the multimodal combination of MR and FDG-PET/CT images improved the classification of LACC patients compared to single modality images and clinical factors. The hypoxic fraction (HF) was identified as an important multimodal biomarker that increased the accuracy of identifying high-risk patients.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Amelia J. Averitt, Patrick B. Ryan, Chunhua Weng, Adler Perotte
Summary: Evidence-Based Medicine encourages clinicians to seek reputable evidence, with randomized controlled trials considered the least biased. However, RCTs often face issues with poor generalizability, hindering the translation of clinical research into practice. Factors contributing to this lack of generalizability have not been fully summarized.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Neurosciences
Heidi Ala-Salomaki, Jan Kujala, Mia Liljestrom, Riitta Salmelin
Summary: The study aimed to identify source-localized evoked activity and cortical oscillations with high test-retest reliability in healthy individuals during a delayed picture naming paradigm, demonstrating the applicability of MEG measurements in clinical assessments and language production research.
Article
Radiology, Nuclear Medicine & Medical Imaging
Filiz Celebi, Aysegul Gormez, Ahmet Serkan Ilgun, Yaman Tokat, Numan Cem Balci
Summary: The study found that SUVmax was an independent risk factor for predicting HCC MVI, and 18F-FDG PET/MRI is a useful noninvasive imaging tool.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Biology
Ruben Hack, Anton S. Becker, Beata Bode-Lesniewska, G. Ulrich Exner, Daniel A. Mueller, Daniela A. Ferraro, Geoffrey Warnock, Irene A. Burger, Christian Britschgi
Summary: This study aimed to investigate whether volume-based PET metrics (tumor volume and total lesions glycolysis) are superior to SUVmax and other metrics in predicting survival of patients with soft tissue and bone sarcomas. The results showed that different sarcoma types were associated with different PET/CT metrics, with SUVmax remaining the best prognostic factor in soft tissue sarcomas, while tumor volume may be more suitable for evaluating bone sarcomas.
Article
Chemistry, Multidisciplinary
Kyeongbong Lee, GyuChang Lee
Summary: The aim of this study was to investigate the test-retest reproducibility and smallest real differences in the dynamic balance tests of chronic stroke survivors. The results showed high reliability and small measurement error for the tests, indicating that they can be useful tools for clinicians to assess changes in dynamic balance over time in the rehabilitation of chronic stroke survivors.
APPLIED SCIENCES-BASEL
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yao Liu, Mei-jia Gao, Jie Zhou, Fan Du, Liang Chen, Zhong-ke Huang, Ji-bo Hu, Cen Lou
Summary: The BPL reconstruction algorithm significantly increased SUVmax, SUVmean, and SBR while decreasing MTV of tumor lesions, especially in small or relatively hypometabolic lesions. The differences between BPL and OSEM + TOF were higher compared to those between BPL and OSEM + TOF + PSF. Significant correlations were found between parameter variations and the size and degree of [F-18]FDG uptake in the lesions.
BMC MEDICAL IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Bethany L. Niell, Mahmoud Abdalah, Olya Stringfield, Natarajan Raghunand, Dana Ataya, Robert Gillies, Yoganand Balagurunathan
Summary: The use of quantitative BPE measures may outperform radiologist-assigned category in predicting breast cancer risk, especially at specific enhancement ratio thresholds like BPE%. Further research on risk prediction models incorporating quantitative measures is warranted.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2021)
Article
Oncology
Arig Ibrahim-Hashim, Kimberly Luddy, Dominique Abrahams, Pedro Enriquez-Navas, Sultan Damgaci, Jiqiang Yao, Tingan Chen, Marilyn M. Bui, Robert J. Gillies, Cliona O'Farrelly, Christina L. Richards, Joel S. Brown, Robert A. Gatenby
Summary: The progression of cancer is influenced by evolutionary dynamics in both the tumor population and its host. Host species can evolve defense strategies, both immunologic and non-immunologic, against tumors over generations. However, cancer cell plasticity allows for effective counter strategies against host defenses.
BRITISH JOURNAL OF CANCER
(2021)
Article
Immunology
K. Gupta, Shivabalan, V Kumar, S. Vyas, R. M. Pandey, N. R. Jagannathan, S. Sinha
Summary: This study conducted in a tertiary care center in India found a high prevalence of cognitive impairment in ART naive patients with HIV, with a particular impact on simple motor skills and memory. However, there was no significant difference in brain metabolites concentration between patients with cognitive impairment and those without cognitive impairment. Further longitudinal studies are needed to understand the underlying pathophysiological mechanisms.
CURRENT HIV RESEARCH
(2021)
Article
Biophysics
Dharmesh Singh, Virendra Kumar, Chandan J. Das, Anup Singh, Amit Mehndiratta
Summary: By combining texture features and machine learning methods with DWI and ADC, the proposed framework can effectively differentiate between different grades of PCa, leading to improved diagnostic performance.
NMR IN BIOMEDICINE
(2021)
Review
Oncology
Robert J. Gillies
Summary: Evidence suggests that cells at the tumor stromal interface express higher levels of proteins related to glycolytic metabolism, leading to acid production which is associated with increased metastatic potential. The molecular machinery responsible for acid export is being studied, and neutralizing the acidity may prevent local invasion and metastasis.
CLINICAL & EXPERIMENTAL METASTASIS
(2022)
Article
Critical Care Medicine
Michael N. Kammer, Dhairya A. Lakhani, Aneri B. Balar, Sanja L. Antic, Amanda K. Kussrow, Rebekah L. Webster, Shayan Mahapatra, Udaykamal Barad, Chirayu Shah, Thomas Atwater, Brenda Diergaarde, Jun Qian, Alexander Kaizer, Melissa New, Erin Hirsch, William J. Feser, Jolene Strong, Matthew Rioth, York E. Miller, Yoganand Balagurunathan, Dianna J. Rowe, Sherif Helmey, Sheau-Chiann Chen, Joseph Bauza, Stephen A. Deppen, Kim Sandler, Fabien Maldonado, Avrum Spira, Ehab Billatos, Matthew B. Schabath, Robert J. Gillies, David O. Wilson, Ronald C. Walker, Bennett Landman, Heidi Chen, Eric L. Grogan, Anna E. Baron, Darryl J. Bornhop, Pierre P. Massion
Summary: Combining clinical, blood, and image biomarkers improves the noninvasive diagnosis of patients with IPNs, potentially reducing unnecessary invasive procedures and shortening the time to diagnosis.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2021)
Article
Oncology
Asmaa El-Kenawi, William Dominguez-Viqueira, Min Liu, Shivanshu Awasthi, Julieta Abraham-Miranda, Aysenur Keske, KayLee K. Steiner, Leenil Noel, Amparo N. Serna, Jasreman Dhillon, Robert J. Gillies, Xiaoqing Yu, John M. Koomen, Kosj Yamoah, Robert A. Gatenby, Brian Ruffell
Summary: The study shows that tumor-associated macrophages play a crucial role in CRPC by regulating cholesterol metabolism to impact androgen biosynthesis.
Article
Radiology, Nuclear Medicine & Medical Imaging
Archana Vadiraj Malagi, Arjunlokesh Netaji, Virendra Kumar, Esha Baidya Kayal, Kedar Khare, Chandan Jyoti Das, Fernando Calamante, Amit Mehndiratta
Summary: Implementing an advanced spatial penalty-based reconstruction at 1.5 T can provide a suitable alternative to the traditional IVIM-DKI model at 3 T for clinical characterization of prostate cancer and benign prostatic hyperplasia. The novel model with TV spatial penalty function showed lower estimation errors and improved detection of prostate lesions compared to the traditional model. Parameters estimated using the novel model at 1.5 T demonstrated high diagnostic performance in cancer lesion detection.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mylathal Sivasamy Naveen Kumar, Gaurav Gupta, Virendra Kumar, Naranamangalam R. Jagannathan, Sanjeev Sinha, Sujeeth Mewar, Pradeep Kumar
Summary: This study used NMR spectroscopy to analyze the metabolic profiles of serum samples from patients with sepsis, and discovered differences between non-survivors and survivors. The findings suggest that the metabolic alterations at day zero may predict the survival of patients with sepsis.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Multidisciplinary Sciences
Poonam Singh, Pradeep Kumar, Veena Pande, Virendra Kumar, Ramesh C. Dhiman
Summary: In this study, the vector response to temperature and insecticide exposure was investigated using untargeted NMR metabolomics. The results revealed changes in various metabolites and pathways. Furthermore, the study showed that the effects of temperature and insecticide exposure were reversed when they were combined, posing a threat to the control of vector-borne diseases.
SCIENTIFIC REPORTS
(2022)
Article
Oncology
Wei Mu, Matthew B. Schabath, Robert J. Gillies
Summary: Radiomics provides an opportunity to uncover image-based biomarkers by converting and analyzing medical images into high-dimensional mineable data. However, the lack of a generally accepted analytic and reporting standard makes interstudy comparisons challenging. Comparing and combining results from multiple studies is essential for clinical application.
Article
Oncology
Audrey R. Freischel, Jamie K. Teer, Kimberly Luddy, Jessica Cunningham, Yael Artzy-Randrup, Tamir Epstein, Kenneth Y. Tsai, Anders Berglund, John L. Cleveland, Robert J. Gillies, Joel S. Brown, Robert A. Gatenby
Summary: Evolution plays a crucial role in the initiation and progression of cancer. In addition to driver mutations, natural selection conserves genes that are necessary for optimal cancer cell fitness. By studying subtypes of lung adenocarcinoma, we identified highly mutated and highly conserved genes, which have common utility in adapting to similar tissue environments and are critical for optimal fitness. Targeting tumor-specific conserved genes may represent an effective treatment strategy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Michal R. Tomaszewski, Shuxuan Fan, Alberto Garcia, Jin Qi, Youngchul Kim, Robert A. Gatenby, Matthew B. Schabath, William D. Tap, Denise K. Reinke, Rikesh J. Makanji, Damon R. Reed, Robert J. Gillies
Summary: This study presents a novel clinical-radiomic approach for patient enrichment in clinical trials. The results show that by using an appropriate model for selective patient inclusion, the SARC021 trial could have achieved its primary survival objective for patients with metastatic soft-tissue sarcoma.
Proceedings Paper
Engineering, Biomedical
Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Summary: Radiomics is utilized for predicting the malignancy of lung nodules, and training CNN with texture images can improve classification accuracy, termed as Deep Radiomics.
MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS
(2021)
Article
Computer Science, Information Systems
Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Anamika Gupta, Naveen Kumar
Summary: Through the deep learning framework Triphasic DeepBRCA, classification of breast cancer subtypes based on gene expression data was achieved, identifying 54 most variant genes, with over 30 genes significantly linked to prognostic outcomes.
