1
|
Bang C, Bernard G, Le WT, Lalonde A, Kadoury S, Bahig H. Artificial intelligence to predict outcomes of head and neck radiotherapy. Clin Transl Radiat Oncol 2023; 39:100590. [PMID: 36935854 PMCID: PMC10014342 DOI: 10.1016/j.ctro.2023.100590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 02/01/2023] Open
Abstract
Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary widely across patients. Advancements in radiotherapy delivery techniques, along with the increased quality and frequency of image guidance, offer a unique opportunity to individualize radiotherapy based on imaging biomarkers, with the aim of improving radiation efficacy while reducing its toxicity. Various artificial intelligence models integrating clinical data and radiomics have shown encouraging results for toxicity and cancer control outcomes prediction in head and neck cancer radiotherapy. Clinical implementation of these models could lead to individualized risk-based therapeutic decision making, but the reliability of the current studies is limited. Understanding, validating and expanding these models to larger multi-institutional data sets and testing them in the context of clinical trials is needed to ensure safe clinical implementation. This review summarizes the current state of the art of machine learning models for prediction of head and neck cancer radiotherapy outcomes.
Collapse
Key Words
- ADASYN, adaptive synthetic sampling
- AI, artificial intelligence
- ANN, artificial neural network
- AUC, Area Under the ROC Curve
- Artificial intelligence
- BMI, body mass index
- C-Index, concordance index
- CART, Classification and Regression Tree
- CBCT, cone-beam computed tomography
- CIFE, conditional informax feature extraction
- CNN, convolutional neural network
- CRT, chemoradiation
- CT, computed tomography
- Cancer outcomes
- DL, deep learning
- DM, distant metastasis
- DSC, Dice Similarity Coefficient
- DSS, clinical decision support systems
- DT, Decision Tree
- DVH, Dose-volume histogram
- GANs, Generative Adversarial Networks
- GB, Gradient boosting
- GPU, graphical process units
- HNC, head and neck cancer
- HPV, human papillomavirus
- HR, hazard ratio
- Head and neck cancer
- IAMB, incremental association Markov blanket
- IBDM, image based data mining
- IBMs, image biomarkers
- IMRT, intensity-modulated RT
- KNN, k nearest neighbor
- LLR, Local linear forest
- LR, logistic regression
- LRR, loco-regional recurrence
- MIFS, mutual information based feature selection
- ML, machine learning
- MRI, Magnetic resonance imaging
- MRMR, Minimum redundancy feature selection
- Machine learning
- N-MLTR, Neural Multi-Task Logistic Regression
- NPC, nasopharynx
- NTCP, Normal Tissue Complication Probability
- OPC, oropharyngeal cancer
- ORN, osteoradionecrosis
- OS, overall survival
- PCA, Principal component analysis
- PET, Positron emission tomography
- PG, parotid glands
- PLR, Positive likelihood ratio
- PM, pharyngeal mucosa
- PTV, Planning target volumes
- PreSANet, deep preprocessor module and self-attention
- Predictive modeling
- QUANTEC, Quantitative Analyses of Normal Tissue Effects in the Clinic
- RF, random forest
- RFC, random forest classifier
- RFS, recurrence free survival
- RLR, Rigid logistic regression
- RRF, Regularized random forest
- RSF, random survival forest
- RT, radiotherapy
- RTLI, radiation-induced temporal lobe injury
- Radiomic
- SDM, shared decision making
- SMG, submandibular glands
- SMOTE, synthetic minority over-sampling technique
- STIC, sticky saliva
- SVC, support vector classifier
- SVM, support vector machine
- XGBoost, extreme gradient boosting
Collapse
Affiliation(s)
- Chulmin Bang
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Corresponding author at: Centre Hospitalier de l'Université de Montréal, 3840 Rue Saint-Urbain, Montréal, QC H2W 1T8, Canada.
| | - Galaad Bernard
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
| | - William T. Le
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Polytechnique Montréal, Montreal, QC, Canada
| | - Arthur Lalonde
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Université de Montréal, Montreal, QC, Canada
| | - Samuel Kadoury
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Polytechnique Montréal, Montreal, QC, Canada
| | - Houda Bahig
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
| |
Collapse
|
2
|
Mahmoudi S, Koch V, Santos DPD, Ackermann J, Grünewald LD, Weitkamp I, Yel I, Martin SS, Albrecht MH, Scholtz JE, Vogl TJ, Bernatz S. Imaging biomarkers to stratify lymph node metastases in abdominal CT - Is radiomics superior to dual-energy material decomposition? Eur J Radiol Open 2022; 10:100459. [PMID: 36561422 PMCID: PMC9763741 DOI: 10.1016/j.ejro.2022.100459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/16/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose To assess the potential of radiomic features in comparison to dual-energy CT (DECT) material decomposition to objectively stratify abdominal lymph node metastases. Materials and methods In this retrospective study, we included 81 patients (m, 57; median age, 65 (interquartile range, 58.7-73.3) years) with either lymph node metastases (n = 36) or benign lymph nodes (n = 45) who underwent contrast-enhanced abdominal DECT between 06/2015-07/2019. All malignant lymph nodes were classified as unequivocal according to RECIST criteria and confirmed by histopathology, PET-CT or follow-up imaging. Three investigators segmented lymph nodes to extract DECT and radiomics features. Intra-class correlation analysis was applied to stratify a robust feature subset with further feature reduction by Pearson correlation analysis and LASSO. Independent training and testing datasets were applied on four different machine learning models. We calculated the performance metrics and permutation-based feature importance values to increase interpretability of the models. DeLong test was used to compare the top performing models. Results Distance matrices and t-SNE plots revealed clearer clusters using a combination of DECT and radiomic features compared to DECT features only. Feature reduction by LASSO excluded all DECT features of the combined feature cohort. The top performing radiomic features model (AUC = 1.000; F1 = 1.000; precision = 1.000; Random Forest) was significantly superior to the top performing DECT features model (AUC = 0.942; F1 = 0.762; precision = 0.800; Stochastic Gradient Boosting) (DeLong < 0.001). Conclusion Imaging biomarkers have the potential to stratify unequivocal lymph node metastases. Radiomics models were superior to DECT material decomposition and may serve as a support tool to facilitate stratification of abdominal lymph node metastases.
Collapse
Key Words
- ADB, AdaBoost
- AUC, Area under the curve
- Abdominal imaging
- CT, Computed tomography
- CTDI, Computed tomography dose index
- DECT, Dual-energy computed tomography
- DICOM, Digital Imaging and Communications in Medicine
- DLP, Dose-length product
- Dual-energy computed tomography
- GLCM, Gray Level Co-occurrence Matrix
- GLDM, Gray Level Dependence Matrix
- GLRLM, Gray Level Run Length Matrix
- GLSZM, Gray Level Size Zone Matrix
- HU, Hounsfield Units
- ICC, Intra-class correlation coefficient
- ID%, Normalized iodine uptake
- ID, Iodine density
- LR, Logistic Regression
- Lymph node metastasis
- Machine Learning
- NGTDM, Neighboring Gray Tone Difference Matrix
- Oncology
- PET, Positron emission tomography
- RF, Random Forest
- ROC, Receiver operating characteristics
- ROI, Region of interest
- Radiomics
- SGB, Stochastic Gradient Boosting
- VOI, Volume of interest
- mGy, Milligray
Collapse
Affiliation(s)
- Scherwin Mahmoudi
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,Corresponding author.
| | - Vitali Koch
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Daniel Pinto Dos Santos
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Kerpener Str. 62, 50937 Cologne, Germany
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Leon D. Grünewald
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Inga Weitkamp
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Ibrahim Yel
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Simon S. Martin
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Moritz H. Albrecht
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Jan-Erik Scholtz
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Thomas J. Vogl
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Simon Bernatz
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| |
Collapse
|
3
|
Yamaoka K, Uotsu N, Hoshino E. Relationship between psychosocial stress-induced prefrontal cortex activity and gut microbiota in healthy Participants-A functional near-infrared spectroscopy study. Neurobiol Stress 2022; 20:100479. [PMID: 36039149 PMCID: PMC9418982 DOI: 10.1016/j.ynstr.2022.100479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 07/14/2022] [Accepted: 08/03/2022] [Indexed: 11/29/2022] Open
Abstract
Brain and gut microbes communicate in a bidirectional manner with each affecting a person's response to psychosocial stress. Although human studies demonstrated that the intake of probiotics can alter stress-related behavior in both patients and healthy participants, the association between stress-related brain functions and the gut microbiota has mostly been investigated in patients with depression. However, the response to psychosocial stress differs, even among healthy individuals, and elucidating the natural state of the gut microbiota would broaden the understanding of responses to psychosocial stress. We investigated the relationship between psychosocial stress response in the prefrontal cortex and the abundance of gut microbes in healthy male participants. The participants were exposed to psychosocial stress during a task while brain activation data were recorded using functional near-infrared spectroscopy. The heart rate and subjective stress were recorded, and fecal samples were collected. The stressful condition was accompanied by high subjective stress, high heart rate, and higher prefrontal activation in the right pre-motor cortex/supplementary motor area, right dorsolateral prefrontal cortex, right frontal pole, and right inferior prefrontal gyrus. The psychosocial stress response in the prefrontal cortex was also associated with changes in the gut microbiota abundance. The abundance of Alistipes, Clostridium IV, Clostridium XI, Faecalibacterium, and Blautia in healthy participants who had high psychosocial stress resembled that noted in patients with depression. These results suggest that the gut microbiota differs, among healthy participants, depending on the psychosocial stress response. We believe that this study is the first to report a direct relationship between brain function and the gut microbiota in healthy participants, and our findings would shed a new light on this field in the near future. Brain and gut microbe communication affects the response to psychosocial stress. Gut microbiota related to psychosocial stress in healthy individuals is unknown. Stress-induced brain activation was observed in the right prefrontal cortex. Brain activity was associated with gut microbiota related to depression. Gut microbiota differs depending on the response to psychosocial stress.
Collapse
Key Words
- ANOVA, Analysis of variance
- BD, Bipolar disorder
- BMI, Body mass index
- CH, Channel
- CRH, Corticotropin-releasing hormone
- DNA, Deoxynucleic acid
- Depression
- FP, Frontal pole
- Functional near-infrared spectroscopy
- GABA, Gamma Amino Butyric Acid
- Gut microbiome
- HPA-axis, Hypothalamic-pituitary-adrenal axis
- IFG, Inferior prefrontal gyrus
- MDD, Major depressive disorder
- MIST, Montreal Imaging Stress Task
- PANAS, Positive and Negative Affect Schedule
- PET, Positron emission tomography
- PFC, Prefrontal cortex
- PMC/SMA, Pre-motor cortex/supplementary motor area
- POMS2, Profile of Mood States 2 short version
- Prefrontal cortex
- Psychosocial stress
- SSES, State Self-Esteem Scale
- STAI, State-Trait Anxiety Inventory
- VAS, Visual analog scale
- bpm, Beat per minute
- deoxy-Hb, Deoxygenated hemoglobin
- dlPFC, Dorsolateral prefrontal cortex
- fMRI, Functional magnetic resonance imaging
- fNIRS, Functional near-infrared spectroscopy
- oxy-Hb, Oxygenated hemoglobin
Collapse
Affiliation(s)
- Kao Yamaoka
- FANCL Corporation Research Institute, 12-13 Kamishinano, Totsuka-ku, Yokohama, Kanagawa, 244-0806, Japan
| | - Nobuo Uotsu
- FANCL Corporation Research Institute, 12-13 Kamishinano, Totsuka-ku, Yokohama, Kanagawa, 244-0806, Japan
| | - Eiichi Hoshino
- Keio University Global Research Institute (KGRI), 2-15-45 Mita, Minato-ku, Tokyo, 108-8345, Japan
| |
Collapse
|
4
|
Igbo BT, Linge A, Frosch S, Suckert T, Stolz-Kieslich L, Löck S, Kumaravadivel MS, Welsch T, Weitz J, Sommer U, Aust D, Troost EGC. Immunohistochemical analyses of paraffin-embedded sections after primary surgery or trimodality treatment in esophageal carcinoma. Clin Transl Radiat Oncol 2022; 36:106-12. [PMID: 35993091 DOI: 10.1016/j.ctro.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/01/2022] [Accepted: 08/01/2022] [Indexed: 11/22/2022] Open
Abstract
Changes in the tumor microenvironment of esophageal cancers, both in squamous cell carcinoma and adenocarcinoma, were found when comparing tumor resection specimen having undergone neoadjuvant radiochemotherapy followed by resection or resection only. Selected markers of the tumor microenvironment, i.e., Ki67, p53, CXCR4 and PD1 were found to be downregulated in hypoxic regions compared to normoxic regions. These findings will be correlated with microscopic tumor extension measurements in a subsequent, prospectively included cohort of esophageal cancer patients.
Background The microscopic tumor extension before, during or after radiochemotherapy (RCHT) and its correlation with the tumor microenvironment (TME) are presently unknown. This information is, however, crucial in the era of image-guided, adaptive high-precision photon or particle therapy. Materials and methods In this pilot study, we analyzed formalin-fixed paraffin-embedded (FFPE) tumor resection specimen from patients with histologically confirmed squamous cell carcinoma (SCC; n = 10) or adenocarcinoma (A; n = 10) of the esophagus, having undergone neoadjuvant radiochemotherapy followed by resection (NRCHT + R) or resection (R)]. FFPE tissue sections were analyzed by immunohistochemistry regarding tumor hypoxia (HIF-1α), proliferation (Ki67), immune status (PD1), cancer cell stemness (CXCR4), and p53 mutation status. Marker expression in HIF-1α subvolumes was part of a sub-analysis. Statistical analyses were performed using one-sided Mann-Whitney tests and Bland-Altman analysis. Results In both SCC and AC patients, the overall percentages of positive tumor cells among the five TME markers, namely HIF-1α, Ki67, p53, CXCR4 and PD1 after NRCHT were lower than in the R cohort. However, only PD1 in SCC and Ki67 in AC showed significant association (Ki67: p = 0.03, PD1: p = 0.02). In the sub-analysis of hypoxic subvolumes among the AC patients, the percentage of positive tumor cells within hypoxic regions were statistically significantly lower in the NRCHT than in the R cohort across all the markers except for PD1. Conclusion In this pilot study, we showed changes in the TME induced by NRCHT in both SCC and AC. These findings will be correlated with microscopic tumor extension measurements in a subsequent cohort of patients.
Collapse
Key Words
- 5-FU, 5-Fluorouracil
- AC, Adenocarcinoma
- AUC, Area under curve
- BSA, Body surface area
- CT, Computed tomography
- CTV, Clinical target volume
- CXCR4, Chemokine receptor type 4
- Esophageal cancer
- FDG, [18F]-fluorodeoxyglucose
- FFPE, Formalin-fixed paraffin-embedded
- GTV, Gross tumor volume
- HIF-1α, Hypoxia-inducible factor 1-alpha
- HNSCC, Head and neck squamous cell carcinoma
- IgG, Immunoglobulin
- Ki67, Tumor proliferation nuclear protein
- MRI, Magnetic resonance imaging
- Microscopic tumor extension
- NRCHT +R, Neoadjuvant radiochemotherapy followed by resection
- PD1, Programmed death 1 receptor
- PET, Positron emission tomography
- PTV, Planning target volume
- R, Resection
- RCHT, Radiochemotherapy
- Radiochemotherapy
- SCC, Squamous cell carcinoma
- TME, Tumor microenvironment
- Tumor microenvironment
- UKD, University Hospital Carl Gustav Carus Dresden
- Whole slide image analysis
- p53, Tumor suppressor protein
Collapse
|
5
|
De Stefano P, Seeck M, Rossetti AO. Critical care EEG standardized nomenclature in clinical practice: Strengths, limitations, and outlook on the example of prognostication after cardiac arrest. Clin Neurophysiol Pract 2021; 6:149-54. [PMID: 35112033 DOI: 10.1016/j.cnp.2021.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 01/08/2021] [Accepted: 03/03/2021] [Indexed: 11/21/2022] Open
Abstract
Optimal use of the ACNS nomenclature implies integration of clinical information. Knowledge of pathophysiological mechanisms of EEG patterns may help interpretation. Standardized therapeutic procedures for critical care patients are needed.
We discuss the achievements of the ACNS critical care EEG nomenclature proposed in 2013 and, from a clinical angle, outline some limitations regarding translation into treatment implications. While the recently proposed updated 2021 version of the nomenclature will probable improve some uncertainty areas, a refined understanding of the mechanisms at the origin of the EEG patterns, and a multimodal integration of the nomenclature to the clinical context may help improving the rationale supporting therapeutic procedures. We illustrate these aspects on prognostication after cardiac arrest.
Collapse
Key Words
- ACNS, American Clinical Neurophysiology Society
- American Clinical Neurophysiology Society (ACNS) Standardized Terminology
- BIRD, Brief potentially ictal rhythmic discharge
- BS, Burst suppression
- Burst suppression
- CA, Cardiac arrest
- Cardiac arrest (CA)
- DWI, diffusion-weighted MRI
- ESI, electric source imaging
- GPD
- GPD, generalized periodic discharge
- GRDA, generalized rhythmic delta activity
- ICU, Intensive care unit
- ICU-EEG, intensive care unit-electroencephalography
- IIC, Ictal-Interictal Continuum
- Ictal-Interictal Continuum
- LPD, Lateralized periodic discharge
- MEG, Magneto-electroencephalography
- NCSE, Non-Convulsive Status Epilepticus
- NSE, Serum neuron-specific enolase
- PET, Positron emission tomography
- Prognostication assessment
- SE, Status epilepticus
- SPECT, Single Photon Emission Computed Tomography
- SSEP, Somatosensory evoked potentials
- WLST, Withdraw of life sustaining treatment
- fMRI, functional MRI
Collapse
|
6
|
Kobe A, Zgraggen J, Messmer F, Puippe G, Sartoretti T, Alkadhi H, Pfammatter T, Mannil M. Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study. Eur J Radiol Open 2021; 8:100375. [PMID: 34485629 PMCID: PMC8408624 DOI: 10.1016/j.ejro.2021.100375] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 11/18/2022] Open
Abstract
Purpose To investigate the potential of texture analysis and machine learning to predict treatment response to transarterial radioembolization (TARE) on pre-interventional cone-beam computed tomography (CBCT) images in patients with liver metastases. Materials and Methods In this IRB-approved retrospective single-center study 36 patients with a total of 104 liver metastases (56 % male, mean age 61.1 ± 13 years) underwent CBCT prior to TARE and follow-up imaging 6 months after therapy. Treatment response was evaluated according to RECIST version 1.1 and dichotomized into disease control (partial response/stable disease) versus disease progression (progressive disease). After target lesion segmentation, 104 radiomics features corresponding to seven different feature classes were extracted with the pyRadiomics package. After dimension reduction machine learning classifications were performed on a custom artificial neural network (ANN). Ten-fold cross validation on a previously unseen test data set was performed. Results The average administered cumulative activity from TARE was 1.6 Gbq (± 0.5 Gbq). At a mean follow-up of 5.9 ± 0.8 months disease control was achieved in 82 % of metastases. After dimension reduction, 15 of 104 (15 %) texture analysis features remained for further analysis. On a previously unseen set of liver metastases the Multilayer Perceptron ANN yielded a sensitivity of 94.2 %, specificity of 67.7 % and an area-under-the receiver operating characteristics curve of 0.85. Conclusion Our study indicates that texture analysis-based machine learning may has potential to predict treatment response to TARE using pre-treatment CBCT images of patients with liver metastases with high accuracy.
Collapse
Key Words
- 90Y-microspheres, Yttrium-90-microspheres
- 99mTc-MAA, 99mtechnetium labelled macroaggregated albumin
- ANN, Artificial neural network
- CBCT, Cone-beam Computed Tomography
- CR, Complete response
- CT, Computed tomography
- Cone-Beam CT
- DICOM, Digital Imaging and Communications in Medicine
- GLCM, Gray-level co-occurrence matrix
- GLDM, Gray-level dependence matrix
- GLRLM, Gray-level run length matrix
- GLSZM, Gray-level size zone matrix
- ICC, Intraclass-correlation coefficient
- MR, Magnetic resonance
- Machine learning
- NGTDM, Neighboring gray tone difference matrix
- PD, Progressive disease
- PET, Positron emission tomography
- PR, Partial response
- Radiomics
- SD, Stable disease
- TACE, Transarterial chemoembolization
- TARE, Transarterial radioembolization
- Transarterial radioembolization
Collapse
Affiliation(s)
- Adrian Kobe
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Corresponding author at: Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, CH-8091, Zurich, Switzerland.
| | - Juliana Zgraggen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Florian Messmer
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Gilbert Puippe
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Sartoretti
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Pfammatter
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Manoj Mannil
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Clinic of Radiology, University Hospital Münster, University of Münster, Münster, Germany
| |
Collapse
|
7
|
Ashraf M, Goh WA, Tan EMX, Nadarajah R. Co-existent abdominoperitoneal tuberculosis with endometrial cancer: A diagnostic and surgical challenge. Gynecol Oncol Rep 2021; 37:100848. [PMID: 34466649 PMCID: PMC8384765 DOI: 10.1016/j.gore.2021.100848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/08/2021] [Accepted: 08/10/2021] [Indexed: 11/30/2022] Open
Abstract
The presence of abdominoperitoneal tuberculosis (APTB) complicates the diagnosis, staging and management of endometrial cancer. Lymph node involvement in APTB may mimic metastatic lymphadenopathy in patients with endometrial cancer. To our knowledge, there have only been 2 previous case reports on this topic. We will describe 3 cases of endometrial cancer co-existing with APTB. The 1st case is a 57-year-old female who underwent elective total laparoscopic hysterectomy with bilateral salpingo-oophorectomy (TLHBSO) and bilateral pelvic lymph node dissection (PLND). The final diagnosis is Stage 3C1 endometrial endometroid carcinoma with mucinous differentiation. The 2nd case is a 70-year-old female with who underwent total abdominal hysterectomy with bilateral salpingo-oophorectomy (TAHBSO) and PLND. The final diagnosis is a Stage 1A endometrioid adenocarcinoma. The 3rd case is a 63-year-old female who underwent TAHBSO and PLND and the final diagnosis was a mixed high-grade serous (90%) and endometrioid (10%) carcinoma of the endometrium. In these cases, the importance of surgical staging is emphasised to accurately stage endometrial cancer. Moreover, thorough peri-operative optimisations by a multi-disciplinary team are essential to improve the outcomes of surgery.
Collapse
Key Words
- (MRI) pelvis, Magnetic resonance imaging
- Abdomino-pelvic tuberculosis
- CT, Computer tomography
- Endometrial cancer
- PALND, Para-aortic lymph node dissection
- PCR, Polymerase chain reaction
- PET, Positron emission tomography
- PLND, Pelvic lymph node dissection
- RHEZ, Rifampicin, isoniazid, ethambutol and pyrazinamide
- TAHBSO, Total abdominal hysterectomy with bilateral salpingo-oophorectomy
- TAP, thorax, abdomen and pelvis
- TB, Tuberculosis
- TLHBSO, Total laparoscopic hysterectomy with bilateral salpingo-oophorectomy
- Tuberculosis
- US, Ultrasound
Collapse
Affiliation(s)
- M Ashraf
- Department of Obstetrics and Gynaecology, SingHealth, Singapore
| | - W A Goh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - E M X Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - R Nadarajah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| |
Collapse
|
8
|
Fatima K, Dasgupta A, DiCenzo D, Kolios C, Quiaoit K, Saifuddin M, Sandhu M, Bhardwaj D, Karam I, Poon I, Husain Z, Sannachi L, Czarnota GJ. Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma. Clin Transl Radiat Oncol 2021; 28:62-70. [PMID: 33778174 PMCID: PMC7985224 DOI: 10.1016/j.ctro.2021.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/23/2021] [Accepted: 03/07/2021] [Indexed: 12/24/2022] Open
Abstract
PURPOSE This study investigated the use of quantitative ultrasound (QUS) obtained during radical radiotherapy (RT) as a radiomics biomarker for predicting recurrence in patients with node-positive head-neck squamous cell carcinoma (HNSCC). METHODS Fifty-one patients with HNSCC were treated with RT (70 Gy/33 fractions) (±concurrent chemotherapy) were included. QUS Data acquisition involved scanning an index neck node with a clinical ultrasound device. Radiofrequency data were collected before starting RT, and after weeks 1, and 4. From this data, 31 spectral and related-texture features were determined for each time and delta (difference) features were computed. Patients were categorized into two groups based on clinical outcomes (recurrence or non-recurrence). Three machine learning classifiers were used for the development of a radiomics model. Features were selected using a forward sequential selection method and validated using leave-one-out cross-validation. RESULTS The median follow up for the entire group was 38 months (range 7-64 months). The disease sites involved neck masses in patients with oropharynx (39), larynx (5), carcinoma unknown primary (5), and hypopharynx carcinoma (2). Concurrent chemotherapy and cetuximab were used in 41 and 1 patient(s), respectively. Recurrence was seen in 17 patients. At week 1 of RT, the support vector machine classifier resulted in the best performance, with accuracy and area under the curve (AUC) of 80% and 0.75, respectively. The accuracy and AUC improved to 82% and 0.81, respectively, at week 4 of treatment. CONCLUSION QUS Delta-radiomics can predict higher risk of recurrence with reasonable accuracy in HNSCC.Clinical trial registration: clinicaltrials.gov.in identifier NCT03908684.
Collapse
Key Words
- AAC, Average acoustic concentration
- ACE, Attenuation co-efficient estimate
- ASD, Average scatterer diameter
- AUC, Area under the curve
- Acc, Accuracy
- CON, Contrast
- COR, Correlation
- CR, Complete responders
- CT, Computed tomography
- Delta-radiomics
- EBV, Epstein-Barr virus
- ENE, Energy
- FDG-PET, 18F-fluorodeoxyglucose positron emission tomography
- FLD, Fisher’s linear discriminant
- FN, False negative
- FP, False positive
- GLCM, Grey level co-occurrence matrix
- HN, Head and neck
- HNSCC, Head and neck squamous cell carcinoma
- HOM, Homogeneity
- HPV, Human papillomavirus
- Head and neck malignancy
- IGRT, Image-guided radiation therapy
- IMRT, Intensity-modulated radiation therapy
- MBF, Mid-band fit
- MRI, Magnetic resonance imaging
- Machine learning
- NR, Non-recurrence
- PET, Positron emission tomography
- PR, Partial responders
- QUS, Quantitative ultrasound
- Quantitative ultrasound
- R, Recurrence
- RF, Radiofrequency
- RFS, Recurrence-free survival
- ROI, Region of interest
- RT, Radiotherapy
- Radiomics
- Radiotherapy squamous cell carcinoma
- Recurrence
- SAS, Spacing among scatterers
- SI, Spectral intercept
- SP, Specificity
- SS, Spectral slope
- SVM, Support vector machine
- Sn, Sensitivity
- TN, True negative
- TP, True positive
- US, Ultrasound
- kNN, k nearest neighbors
Collapse
Affiliation(s)
- Kashuf Fatima
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Archya Dasgupta
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Daniel DiCenzo
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | | | - Karina Quiaoit
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | | | - Michael Sandhu
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Divya Bhardwaj
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Irene Karam
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Ian Poon
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | | | - Gregory J. Czarnota
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| |
Collapse
|
9
|
Ding YD, Yang R, Yan CG, Chen X, Bai TJ, Bo QJ, Chen GM, Chen NX, Chen TL, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Hou ZH, Hu L, Kuang L, Li F, Li T, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Tang Y, Wang CY, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zhang AX, Zhang H, Zhang KR, Zhang L, Zhang ZJ, Zhou RB, Zhou YT, Zhu JJ, Zou CJ, Si TM, Zang YF, Zhao JP, Guo WB. Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project. J Affect Disord 2021; 284:217-228. [PMID: 33609956 DOI: 10.1016/j.jad.2021.02.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/18/2021] [Accepted: 02/07/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Functional specialization is a feature of human brain for understanding the pathophysiology of major depressive disorder (MDD). The degree of human specialization refers to within and cross hemispheric interactions. However, most previous studies only focused on interhemispheric connectivity in MDD, and the results varied across studies. Hence, brain functional connectivity asymmetry in MDD should be further studied. METHODS Resting-state fMRI data of 753 patients with MDD and 451 healthy controls were provided by REST-meta-MDD Project. Twenty-five project contributors preprocessed their data locally with the Data Processing Assistant State fMRI software and shared final indices. The parameter of asymmetry (PAS), a novel voxel-based whole-brain quantitative measure that reflects inter- and intrahemispheric asymmetry, was reported. We also examined the effects of age, sex and clinical variables (including symptom severity, illness duration and three depressive phenotypes). RESULTS Compared with healthy controls, patients with MDD showed increased PAS scores (decreased hemispheric specialization) in most of the areas of default mode network, control network, attention network and some regions in the cerebellum and visual cortex. Demographic characteristics and clinical variables have significant effects on these abnormalities. LIMITATIONS Although a large sample size could improve statistical power, future independent efforts are needed to confirm our results. CONCLUSIONS Our results highlight the idea that many brain networks contribute to broad clinical pathophysiology of MDD, and indicate that a lateralized, efficient and economical brain information processing system is disrupted in MDD. These findings may help comprehensively clarify the pathophysiology of MDD in a new hemispheric specialization perspective.
Collapse
Key Words
- DLPFC, Dorsolateral prefrontal cortex
- DMN, Default mode network
- DPARSF, Data Processing Assistant for Resting-State fMRI
- DSM, Diagnosic and Statistical Manual of Mental Disorders
- EEG, Electroencephalographic
- FC, Functional connectivity
- FDR, False discovery rate
- FEDN, First-episode, drug-naive
- FEF, Frontal eye fields
- HAMD, Hamilton Depression Rating Scale
- HC, Healthy control
- IFG, Inferior frontal gyrus
- IPL, Inferior parietal lobule
- IPS/SPL, Intraparietal sulcus/superior parietal lobule
- LMM, Linear mixed model
- MDD, Major depressive disorder
- MFG, Middle frontal gyrus
- MTG, Middle temporal gyrus
- Major depressive disorder
- PAS, Parameter of asymmetry
- PCC, Posterior cingulate cortex
- PET, Positron emission tomography
- ROIs, Regions of interest
- STS, Superior temporal sulcus
- VMHC, Voxel-mirrored homotopic connectivity
- fMRI Abbreviations ACC, Anterior cingulate gyrus
- fMRI, Functional magnetic resonance imaging
- hemispheric asymmetry
- parameter of asymmetry
- rTMS, repetitive transcranial magnetic stimulation
- rs-fMRI, Resting-state fMRI
Collapse
Affiliation(s)
- Yu-Dan Ding
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | | | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ning-Xuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Tao-Lin Chen
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Chang Cheng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Xi-Long Cui
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Zheng-Hua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhe-Ning Liu
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yi-Cheng Long
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang 311121, China
| | - Yu-Shu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yanqing Tang
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xiang Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | | | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiu-Feng Xu
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Jia-Shu Yao
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Shu-Qiao Yao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Ai-Xia Zhang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030006, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 311121, China
| | - Jing-Ping Zhao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Wen-Bin Guo
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China.
| |
Collapse
|
10
|
|
11
|
Walls GM, Oughton JB, Chalmers AJ, Brown S, Collinson F, Forster MD, Franks KN, Gilbert A, Hanna GG, Hannaway N, Harrow S, Haswell T, Hiley CT, Hinsley S, Krebs M, Murden G, Phillip R, Ryan AJ, Salem A, Sebag-Montefoire D, Shaw P, Twelves CJ, Walker K, Young RJ, Faivre-Finn C, Greystoke A. CONCORDE: A phase I platform study of novel agents in combination with conventional radiotherapy in non-small-cell lung cancer. Clin Transl Radiat Oncol 2020; 25:61-66. [PMID: 33072895 PMCID: PMC7548952 DOI: 10.1016/j.ctro.2020.09.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 09/15/2020] [Accepted: 09/15/2020] [Indexed: 12/18/2022] Open
Abstract
Lung cancer is the leading cause of cancer mortality worldwide and most patients are unsuitable for 'gold standard' treatment, which is concurrent chemoradiotherapy. CONCORDE is a platform study seeking to establish the toxicity profiles of multiple novel radiosensitisers targeting DNA repair proteins in patients treated with sequential chemoradiotherapy. Time-to-event continual reassessment will facilitate efficient dose-finding.
Collapse
Key Words
- ATM, Ataxia telangiectasia mutated
- ATR, Ataxia telangiectasia and Rad3 related
- CRT, Chemoradiotherapy
- CT, Computed tomography
- CTCAE, Common terminology criteria for adverse events
- CTRad, Clinical and Translational Radiotherapy Research Working Group
- Continual reassessment method
- DDRi, DNA damage response inhibitor
- DLT, Dose limiting toxicity
- DNA damage repair inhibitor
- DNA, Deoxyribonucleic acid
- DNA-PK, DNA-dependent protein kinase
- ECOG, Eastern Cooperative Oncology Group
- EORTC, European Organisation for Research and Treatment of Cancer
- ICRU, International Commission on Radiation Units and Measurements
- IMPs, Investigational medicinal products
- LA, Locally advanced
- MRC, Medical Research Council
- NCRI, National Cancer Research Institute
- NSCLC, Non-small cell lung cancer
- Non-small cell lung cancer
- PARP, Poly (ADP-ribose) polymerase
- PET, Positron emission tomography
- PFS, Progression free survival
- PROMs, Patient-reported outcome measures
- Platform trial
- RECIST, Response evaluation criteria in solid tumours
- RP2D, Recommended phase II dose
- RT, Radiotherapy
- SACT, Systemic anti-cancer therapy
- SRC, Safety review committee
- Sequential chemoradiotherapy
- TNM, Tumour node metastasis
- TiTE-CRM, Time to event continual reassessment method
- cfDNA, Cell-free DNA
Collapse
Affiliation(s)
- Gerard M. Walls
- Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, Northern Ireland, UK
| | - Jamie B. Oughton
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | | | - Sarah Brown
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | - Fiona Collinson
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | | | - Kevin N. Franks
- St James’ Institute of Oncology, University of Leeds, England, UK
| | | | - Gerard G. Hanna
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Australia
| | | | - Stephen Harrow
- The Beatson West of Scotland Cancer Centre, Glasgow, Scotland, UK
| | | | | | - Samantha Hinsley
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
- Institute of Cancer Sciences, University of Glasgow, Scotland, UK
| | - Matthew Krebs
- Faculty of Biology, Medicine and Health, University of Manchester, England, UK
| | - Geraldine Murden
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | - Rachel Phillip
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | - Anderson J. Ryan
- Oxford Institute for Radiation Oncology, University of Oxford, Oxford, England, UK
| | - Ahmed Salem
- The Christie NHS Foundation Trust/University of Manchester, Manchester, England, UK
| | | | - Paul Shaw
- Velindre University NHS Trust, Cardiff, Wales, UK
| | - Chris J. Twelves
- St James’ Institute of Oncology, University of Leeds, England, UK
| | - Katrina Walker
- Leeds Institute of Clinical Trials Research, University of Leeds, England, UK
| | - Robin J. Young
- Academic Unit of Clinical Oncology, Weston Park Hospital, Sheffield, England, UK
| | - Corinne Faivre-Finn
- Oxford Institute for Radiation Oncology, University of Oxford, Oxford, England, UK
| | | |
Collapse
|
12
|
Chang CW, Chien CC, Juan YS, Chueh KS. Primary renal angiosarcoma mimicking urothelial carcinoma - A case report and literature reviews. Urol Case Rep 2020; 34:101407. [PMID: 33145170 PMCID: PMC7596193 DOI: 10.1016/j.eucr.2020.101407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/08/2020] [Indexed: 01/01/2023] Open
Abstract
Angiosarcoma (AS) is a rare aggressive tumor originating from endothelial cells. We reported a 66-year-old female with primary renal angiosarcoma (PRA) who presented as urothelial carcinoma with hematuria and dysuria. Based on ureterorenoscopic tumor biopsy, the initial diagnosis suggested low-grade non-invasive urothelial carcinoma. However, the specimen retrieved from nephroureterectomy confirmed the diagnosis of primary renal angiosarcoma. Primary renal angiosarcoma could uncommonly present as urothelial carcinoma in renal pelvis. Surgical resection remains to be the most effective therapy but there is no consensus about adjuvant therapies. The overall prognosis of primary renal angiosarcoma is dismal. Primary renal angiosarcoma is a rare disease that could mimic urothelial carcinoma. Surgical resection is considered to be main treatment. The effectiveness osf adjuvant therapies remain to be clarified.
Collapse
Affiliation(s)
- Che-Wei Chang
- Department of Urology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan.,Department of Urology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chu-Chun Chien
- Department of Pathology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Yung-Shun Juan
- Department of Urology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.,Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kuang-Shun Chueh
- Department of Urology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| |
Collapse
|
13
|
Zhao D, Zhang F, Wang B, Liu B, Li L, Kim SY, Goodman SB, Hernigou P, Cui Q, Lineaweaver WC, Xu J, Drescher WR, Qin L. Guidelines for clinical diagnosis and treatment of osteonecrosis of the femoral head in adults (2019 version). J Orthop Translat 2020; 21:100-110. [PMID: 32309135 PMCID: PMC7152793 DOI: 10.1016/j.jot.2019.12.004] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 11/29/2019] [Accepted: 12/05/2019] [Indexed: 12/26/2022] Open
Abstract
Osteonecrosis of the femoral head (ONFH) is a common and refractory disease in orthopaedic clinics. The number of patients with ONFH is increasing worldwide every year. There are an estimated 8.12 million patients with nontraumatic osteonecrosis in China alone. Treatment of nontraumatic osteonecrosis has always been a clinical challenge for orthopaedic surgeons. To further standardize diagnosis and treatment of ONFH, these guidelines provide not only basic diagnosis, treatment, and evaluation systems for ONFH but also expert advice and standards in many aspects, including epidemiology, aetiology, diagnostic criteria, pathological staging, prevention and treatment options, and postoperative rehabilitation. The aetiological factors of ONFH can currently be divided into two major categories: traumatic and nontraumatic; however, the specific pathological mechanism of ONFH is not completely clear. Currently, the staging system of ONFH formulated by the Association Research Circulation Osseous is widely used in clinical practice. Based on the changes in the intraosseous blood supply at different stages, the corresponding nonsurgical and surgical treatments are recommended, and when there are risk factors for possible ONFH, certain preventive measures to avoid the occurrence of osteonecrosis are recommended. These guidelines provide brief classification criteria and treatment regimen for osteonecrosis. Specification of the aetiology, treatment plan based on comprehensive consideration of the different stages of osteonecrosis, hip function, age, and occupation of the patients are important steps in diagnosis and developing treatment strategies. TRANSLATIONAL POTENTIAL OF THIS ARTICLE New advances in the epidemiology, etiology, pathophysiology, imaging, diagnosis and treatment of ONFH have been renewed in this revision. This guideline can be used for reference by orthopedic professionals and researchers, and for standardized diagnosis and treatment management under the clinical guidance, which is conducive to the prevention, treatment and further research of ONFH, improving the diagnosis and treatment level, making patients' symptoms under good control, and improving their quality of life.
Collapse
Key Words
- ARCO, Association Research Circulation Osseous
- BMES, Bone marrow oedema syndrome
- CT, Computed tomography
- DSA, Digital subtraction angiography
- Diagnosis
- Guideline
- MRI, Magnetic resonance imaging
- ONFH, Osteonecrosis of the femoral head
- Osteonecrosis of the femoral head (ONFH)
- PET, Positron emission tomography
- RHS, Reconstruction Hip Scores
- SPECT, Single-photon emission computed tomography
- T1WI, T1-weighted images
- Treatment
Collapse
Affiliation(s)
- Dewei Zhao
- Department of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, PR China
| | - Feng Zhang
- JMS Burn and Reconstructive Center, Jackson, MS, USA
| | - Benjie Wang
- Department of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, PR China
| | - Baoyi Liu
- Department of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, PR China
| | - Lu Li
- Department of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, PR China
| | - Shin-Yoon Kim
- Department of Orthopaedic Surgery, Kyungpook National University Hospital, Daegu, South Korea
| | - Stuart B. Goodman
- Department of Orthopaedic Surgery and (by Courtesy) Bioengineering, Stanford University Medical Center Outpatient Center, Redwood City, CA, 94063, USA
| | - Philippe Hernigou
- Department of Orthopaedic Surgery, University Paris East (UPEC), Hôpital Henri Mondor, Creteil, France
| | - Quanjun Cui
- Department of Orthopaedic Surgery, University of Virginia School of Medicine, Virginia, 22903, USA
| | | | - Jiake Xu
- School of Pathology and Laboratory Medicine, The University of Western Australia, Perth, Western Australia, 6009, Australia
| | - Wolf R. Drescher
- Department of Orthopaedic Surgery of the Lower Limb and Arthroplasty, Rummelsberg Hospital, D-90592, Schwarzenbruck, Germany
| | - Ling Qin
- Musculoskeletal Research Laboratory, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, PR China
| |
Collapse
|
14
|
Vale F, Pinto Junior VL, Casella MI, Poças J. Community-acquired Escherichia coli meningitis and spondylodiscitis in an adult patient with discoid lupus erythematosus. IDCases 2019; 17:e00573. [PMID: 31338297 PMCID: PMC6624638 DOI: 10.1016/j.idcr.2019.e00573] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 06/08/2019] [Accepted: 06/08/2019] [Indexed: 11/30/2022] Open
Abstract
Acute bacterial meningitis has a high impact on adult mortality worldwide. Community-acquired Escherichia coli meningitis (CA-ECM) is a rare and poorly described condition and the available knowledge is based on low evidence research, mainly from case reports. We describe a case of CA-ECM in Portugal in an adult patient with discoid lupus erythematosus under immunomodulatory therapy. A 73-year-old woman was admitted to the emergency department with fever and altered mental status over 48 h. Cerebrospinal fluid analysis showed 185 leukocytes/μL, including 85% neutrophils, hypoglycorrhachia (less than 5 mg/dL) and elevated protein of 423 mg/dL with positive culture for Escherichia coli. She was treated with ceftriaxone. Imaging studies also demonstrated spondylodiscitis and arthritis. She responded well to antimicrobial therapy and completed the treatment as an outpatient.
Collapse
Key Words
- CA-ECM, Community-acquired Escherichia coli meningitis
- CRP, C-reactive protein
- CSF, Cerebrospinal fluid
- CT, Computed tomography
- Discoid lupus erythematosus
- E. coli, Escherichia coli
- ESR, Erythrocyte sedimentation rate
- Escherichia coli
- GCS, Glasgow coma scale
- HIV, Human immunodeficiency virus
- MRI, Magnetic resonance imaging
- Meningitis
- PCR, Polymerase chain reaction
- PET, Positron emission tomography
- RT-PCR, Reverse transcription polymerase chain reaction
- STIR, Short-TI inversion recovery
- SUVmax, Maximum standardized uptake value
- Spondylodiscitis
- WBC, White blood cell
Collapse
Affiliation(s)
- Francisco Vale
- Infectious Diseases Department, São Bernardo Hospital, Setúbal, Portugal
| | | | | | - José Poças
- Infectious Diseases Department, São Bernardo Hospital, Setúbal, Portugal
| |
Collapse
|
15
|
Shibahara D, Furugen M, Kasashima S, Kaneku K, Yamashiro T, Arakaki W, Ariga T, Atsumi E, Aoyama H, Matsumoto H, Maehara H, Fujita J. Radiation-induced sarcoma in a 10-year survivor with stage IV EGFR-mutated lung adenocarcinoma. Respir Med Case Rep 2019; 28:100889. [PMID: 31304084 PMCID: PMC6604042 DOI: 10.1016/j.rmcr.2019.100889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 06/16/2019] [Accepted: 06/17/2019] [Indexed: 12/05/2022] Open
Abstract
A 70-year-old Japanese man with stage IV EGFR-mutated lung adenocarcinoma complained of right mild back pain. The patient had been heavily treated with several cytotoxic or molecular targeted agents for 10 years and received a palliative radiation therapy of 2nd sacral vertebra 5 years ago. Computed tomography showed the abnormal lesion in right iliopsoas muscle. A pathological examination confirmed undifferentiated pleomorphic sarcoma, consistent with the diagnosis of radiation-induced sarcoma (RIS). Since RIS is a rare late-onset complication of radiation therapy, to our knowledge, this is the first report of RIS that was associated with advanced lung cancer and detected after palliative radiation therapy. The careful long-term follow-up is thus necessary even after palliative radiation therapy and we have to be aware of the existence of RIS.
Collapse
Affiliation(s)
- Daisuke Shibahara
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Makoto Furugen
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Shiho Kasashima
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Kozue Kaneku
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Tomoko Yamashiro
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Wakako Arakaki
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Takuro Ariga
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Eriko Atsumi
- Department of Pathology and Oncology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan.,Department of Pathology, National Hospital Organization, Okinawa National Hospital, 3-20-14, Ganeko, Ginowan, Okinawa, 901-2214, Japan
| | - Hajime Aoyama
- Department of Pathology and Oncology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Hirofumi Matsumoto
- Department of Pathology and Oncology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Hiroki Maehara
- Hyperbaric Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0125, Japan
| | - Jiro Fujita
- Department of Infectious Disease, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| |
Collapse
|
16
|
Kirsch V, Boegle R, Keeser D, Kierig E, Ertl-Wagner B, Brandt T, Dieterich M. Beyond binary parcellation of the vestibular cortex - A dataset. Data Brief 2019; 23:103666. [PMID: 30788394 PMCID: PMC6369267 DOI: 10.1016/j.dib.2019.01.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 01/01/2019] [Accepted: 01/07/2019] [Indexed: 10/27/2022] Open
Abstract
The data-set presented in this data article is supplementary to the original publication, doi:10.1016/j.neuroimage.2018.05.018 (Kirsch et al., 2018). Named article describes handedness-dependent organizational patterns of functional subunits within the human vestibular cortical network that were revealed by functional magnetic resonance imaging (fMRI) connectivity parcellation. 60 healthy volunteers (30 left-handed and 30 right-handed) were examined on a 3T MR scanner using resting state fMRI. The multisensory (non-binary) nature of the human (vestibular) cortex was addressed by using masked binary and non-binary variations of independent component analysis (ICA). The data have been made publicly available via github (https://github.com/RainerBoegle/BeyondBinaryParcellationData).
Collapse
Key Words
- A1, Primary auditory cortex
- ACC, Anterior cingulate cortex
- BA, Brodmann areal
- C, Common cluster
- CSF, Cerebrospinal fluid
- IC, Independent component
- ICA, Independent component analysis
- IPL, Inferior parietal lobule
- L, Left
- L-I, Laterality-index
- LH, Left-handed
- M/STG, Middle and superior temporal gyrus
- M1, Primary motor cortex
- MR, Magnetic resonance
- MRI, Magnetic resonance imaging
- MST, Medial superior temporal area
- MSTd, Dorsal medial superior temporal area
- MT, Middle temporal area
- OP, Operculum
- OP2, Operculum 2
- P, Parcel
- P-P, Parcel to parcel correlation
- P-RSN, Parcel to resting state network correlation
- PET, Positron emission tomography
- PIVC, Parieto-insular vestibular cortex
- R, Right
- RH, Right-handed
- ROI, Region of interest
- RSN, Resting-state network
- S1, Primary somatosensory cortex
- SD, Standard deviation
- SMA, Supplementary motor area
- STG, Superior temporal gyrus
- SVV, Subjective visual vertical
- TP, Temporo-parietal
- U, Unique voxel
- V1–5, Primary, secondary and tertiary visual cortices
- VOG, Video-oculography
- VOR, Vestibular-ocular reflex
- VPS, Visual posterior sylvian area
- fCBP, Functional connectivity based parcellation
Collapse
Affiliation(s)
- V Kirsch
- Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.,Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany
| | - R Boegle
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany
| | - D Keeser
- Department of Radiology, Ludwig-Maximilians Universität, Munich, Germany.,Department of Psychiatry, Ludwig-Maximilians Universität, Munich, Germany
| | - E Kierig
- Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany
| | - B Ertl-Wagner
- German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.,Department of Radiology, Ludwig-Maximilians Universität, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - T Brandt
- German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.,Clinical Neuroscience, Ludwig-Maximilians Universität, Munich, Germany
| | - M Dieterich
- Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.,Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| |
Collapse
|
17
|
Yam KMK, Leung WKA, Zhu XL, Fung LWE. Drug resistant epilepsy with mesial temporal sclerosis as possible late neurological complication in two AML survivors after stem cell transplantation. Epilepsy Behav Case Rep 2018; 10:71-77. [PMID: 30073146 PMCID: PMC6068318 DOI: 10.1016/j.ebcr.2018.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 04/21/2018] [Accepted: 05/15/2018] [Indexed: 10/24/2022]
Abstract
•Mesial temporal sclerosis (MTS) is a potential late complication of hematological malignancies.•Seizures are usually drug resistant with MTS yet seizure freedom may be achieved by surgery.•Early evaluation for epilepsy surgery is warranted for drug resistant seizures due to AML.
Collapse
Key Words
- ALL, Acute lymphoblastic leukaemia
- AML, Acute myeloid leukaemia
- CNS, Central nervous system
- EEG, Electroencephalogram
- FIAS, Focal impaired awareness seizure
- IPI, Initial precipitant injury
- MRI, Magnetic resonance imaging
- MTS, Mesial temporal sclerosis
- PET, Positron emission tomography
- PRES, Posterior reversible encephalopathy syndrome
- SCT, Stem cell transplantation
Collapse
Affiliation(s)
- Kwan-Ming Karen Yam
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Wing-Kwan Alex Leung
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Xian-Lun Zhu
- Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, Hong Kong
| | - Lai-Wah Eva Fung
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| |
Collapse
|
18
|
Stark AJ, Smith CT, Petersen KJ, Trujillo P, van Wouwe NC, Donahue MJ, Kessler RM, Deutch AY, Zald DH, Claassen DO. [ 18F]fallypride characterization of striatal and extrastriatal D 2/3 receptors in Parkinson's disease. Neuroimage Clin 2018; 18:433-442. [PMID: 29541577 PMCID: PMC5849871 DOI: 10.1016/j.nicl.2018.02.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 01/15/2018] [Accepted: 02/07/2018] [Indexed: 12/11/2022]
Abstract
Parkinson's disease (PD) is characterized by widespread degeneration of monoaminergic (especially dopaminergic) networks, manifesting with a number of both motor and non-motor symptoms. Regional alterations to dopamine D2/3 receptors in PD patients are documented in striatal and some extrastriatal areas, and medications that target D2/3 receptors can improve motor and non-motor symptoms. However, data regarding the combined pattern of D2/3 receptor binding in both striatal and extrastriatal regions in PD are limited. We studied 35 PD patients off-medication and 31 age- and sex-matched healthy controls (HCs) using PET imaging with [18F]fallypride, a high affinity D2/3 receptor ligand, to measure striatal and extrastriatal D2/3 nondisplaceable binding potential (BPND). PD patients completed PET imaging in the off medication state, and motor severity was concurrently assessed. Voxel-wise evaluation between groups revealed significant BPND reductions in PD patients in striatal and several extrastriatal regions, including the locus coeruleus and mesotemporal cortex. A region-of-interest (ROI) based approach quantified differences in dopamine D2/3 receptors, where reduced BPND was noted in the globus pallidus, caudate, amygdala, hippocampus, ventral midbrain, and thalamus of PD patients relative to HC subjects. Motor severity positively correlated with D2/3 receptor density in the putamen and globus pallidus. These findings support the hypothesis that abnormal D2/3 expression occurs in regions related to both the motor and non-motor symptoms of PD, including areas richly invested with noradrenergic neurons.
Collapse
Affiliation(s)
- Adam J Stark
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | | | - Kalen J Petersen
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Paula Trujillo
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Nelleke C van Wouwe
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Manus J Donahue
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States; Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert M Kessler
- Radiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Ariel Y Deutch
- Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Pharmacology, Vanderbilt University, Nashville, TN, United States
| | - David H Zald
- Psychology, Vanderbilt University, Nashville, TN, United States; Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Daniel O Claassen
- Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.
| |
Collapse
|
19
|
Abravan A, Eide HA, Knudtsen IS, Løndalen AM, Helland Å, Malinen E. Assessment of pulmonary 18F-FDG-PET uptake and cytokine profiles in non-small cell lung cancer patients treated with radiotherapy and erlotinib. Clin Transl Radiat Oncol 2017; 4:57-63. [PMID: 29594209 PMCID: PMC5833916 DOI: 10.1016/j.ctro.2017.04.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 03/31/2017] [Accepted: 04/01/2017] [Indexed: 12/17/2022] Open
Abstract
Purpose To investigate effects of radiotherapy (RT) and erlotinib on pulmonary glucose uptake using 2-deoxy-2-(18F)fluoro-D-glucose (18F-FDG) positron emission tomography (PET) during and after treatment of non-small cell lung cancer (NSCLC) and to identify associations between serum cytokine levels and lung glucose uptake. Material and methods Twenty-seven patients with advanced NSCLC, receiving RT alone or concomitant RT and erlotinib therapy, were examined by 18F-FDG PET before, during, and after treatment. A total of 57 18F-FDG PET scans were analyzed. Pulmonary 18F-FDG uptake and radiotherapy dose mapping were used to acquire dose-response curves for each patient, where subsequent linear regression gave a glucose uptake level in the un-irradiated parts of the lungs (SUV0) and a response slope (ΔSUV). Serum cytokine levels at corresponding time points were assessed using a multiplex bioassay. Correlations between the most robust cytokines and lung 18F-FDG dose response parameters were further investigated. Results From the dose response analysis, SUV0 at post-therapy was significantly higher (P < 0.001) than at mid- and pre-therapy (45% and 58%, respectively) for the group receiving RT + erlotinib. Also, SUV0 at post-therapy was higher for patients receiving RT + erlotinib compared to RT alone (42%; P < 0.001). No differences in ΔSUV were seen with treatments or time. SUV0 was positively associated (r = 0.47, P = 0.01) with serum levels of the chemokine C-C motif ligand 21 (CCL21) for patients receiving RT + erlotinib. Conclusions Concomitant RT and erlotinib causes an elevation in pulmonary 18F-FDG uptake post treatment compared to RT alone. Pulmonary glucose uptake is associated with an upregulation of a chemokine (CCL21) involved in inflammatory reactions.
Collapse
Key Words
- 18F-FDG
- 18F-FDG, 2-deoxy-2-(18F)fluoro-D-glucose
- CCL, Chemokine (CC motif) ligand
- CT, Computed tomography
- EGFR, Epidermal growth factor receptor
- EORTC QLQ-C30, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30
- EORTC QLQ-LC13, EORTC QLQ Lung Cancer 13
- Erlotinib
- GTV, Gross tumor volume
- HU, Hounsfield Unit
- IL, Interleukin
- Lung cancer
- MMP, Matrix metalloproteinase
- NSCLC, Non-small cell lung cancer
- PET, Positron emission tomography
- Positron emission tomography
- RILT, Radiation induced lung toxicity
- RT, Radiotherapy
- SUV, Standard uptake value
- Standardized uptake value
- Thoracic radiotherapy
Collapse
Affiliation(s)
- Azadeh Abravan
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway.,Department of Physics, University of Oslo, Oslo, Norway
| | - Hanne Astrid Eide
- Department of Oncology, Oslo University Hospital, Oslo, Norway.,Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Ingerid Skjei Knudtsen
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway.,Department of Physics, University of Oslo, Oslo, Norway
| | | | - Åslaug Helland
- Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Eirik Malinen
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway.,Department of Physics, University of Oslo, Oslo, Norway
| |
Collapse
|
20
|
Daerr S, Brendel M, Zach C, Mille E, Schilling D, Zacherl MJ, Bürger K, Danek A, Pogarell O, Schildan A, Patt M, Barthel H, Sabri O, Bartenstein P, Rominger A. Evaluation of early-phase [ 18F]-florbetaben PET acquisition in clinical routine cases. Neuroimage Clin 2016; 14:77-86. [PMID: 28138429 PMCID: PMC5257027 DOI: 10.1016/j.nicl.2016.10.005] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 09/29/2016] [Accepted: 10/06/2016] [Indexed: 11/24/2022]
Abstract
Objectives In recent years several [18F]-labelled amyloid PET tracers have been developed and have obtained clinical approval. There is accumulating evidence that early (post injection) acquisitions with these tracers are equally informative as conventional blood flow and metabolism studies for diagnosis of Alzheimer's disease, but there have been few side-by-side studies. Therefore, we investigated the performance of early acquisitions of [18F]-florbetaben (FBB) PET compared to [18F]-fluorodeoxyglucose (FDG) PET in a clinical setting. Methods All subjects were recruited with clinical suspicion of dementia due to neurodegenerative disease. FDG PET was undertaken by conventional methods, and amyloid PET was performed with FBB, with early recordings for the initial 10 min (early-phase FBB), and late recordings at 90–110 min p.i. (late-phase FBB). Regional SUVR with cerebellar and global mean normalization were calculated for early-phase FBB and FDG PET. Pearson correlation coefficients between FDG and early-phase FBB were calculated for predefined cortical brain regions. Furthermore, a visual interpretation of disease pattern using 3-dimensional stereotactic surface projections (3D-SSP) was performed, with assessment of intra-reader agreement. Results Among a total of 33 patients (mean age 67.5 ± 11.0 years) included in the study, 18 were visually rated amyloid-positive, and 15 amyloid-negative based on late-phase FBB scans. Correlation coefficients for early-phase FBB vs. FDG scans displayed excellent agreement in all target brain regions for global mean normalization. Cerebellar normalization gave strong, but significantly lower correlations. 3D representations of early-phase FBB visually resembled the corresponding FDG PET images, irrespective of the amyloid-status of the late FBB scans. Conclusions Early-phase FBB acquisitions correlate on a relative quantitative and visual level with FDG PET scans, irrespective of the amyloid plaque density assessed in late FBB imaging. Thus, early-phase FBB uptake depicts a metabolism-like image, suggesting it as a valid surrogate marker for synaptic dysfunction, which could ultimately circumvent the need for additional FDG PET investigation in diagnosis of dementia. Early-phase [18F]-florbetaben uptake depicts a metabolism-like image Strong relative quantitative and visual correlations of early-phase [18F]-florbetaben uptake with FDG images A two-phase [18F]-florbetaben protocol might give combined neurodegeneration and amyloid pathology biomarker information Early-phase [18F]-florbetaben PET could ultimately circumvent the need for an additional FDG-PET in the dementia work-up.
Collapse
Key Words
- 3D-SSP, 3-dimensional stereotactic surface projections
- AD, Alzheimer's disease
- Alzheimer's disease
- CBF, cerebral blood flow
- CBL, cerebellum
- CN, cognitively normal
- FBB, [18F]florbetaben
- FDG Pet
- FDG, [18F]-fluorodeoxyglucose
- FTLD, frontotemporal lobar degeneration
- GLM, global mean
- L, left
- MCI, mild cognitive impairment
- MNI, Montreal Neurological Institute
- Metabolism
- PCC, posterior cingulate cortex
- PET, Positron emission tomography
- Perfusion
- R, right
- SPECT, single photon emission computed tomography
- SUVR, standardized uptake value ratio
- VOI, volume of interest
- [18F]-florbetaben PET
- p.i., post injection
- ß-amyloid
Collapse
Affiliation(s)
- Sonja Daerr
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | - Matthias Brendel
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | - Christian Zach
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | - Erik Mille
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | - Dorothee Schilling
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | | | - Katharina Bürger
- ISD, Ludwig-Maximilians-Universität München, München, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Adrian Danek
- Dept. of Neurology, Ludwig-Maximilians-Universität München, München, Germany
| | - Oliver Pogarell
- Dept. of Psychiatry, Ludwig-Maximilians-Universität München, München, Germany
| | - Andreas Schildan
- Dept. of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Marianne Patt
- Dept. of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Henryk Barthel
- Dept. of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Dept. of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Peter Bartenstein
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany; SyNergy, Ludwig-Maximilians-Universität München, München, Germany
| | - Axel Rominger
- Dept. of Nuclear Medicine, Ludwig-Maximilians-Universität München, München, Germany; SyNergy, Ludwig-Maximilians-Universität München, München, Germany
| |
Collapse
|
21
|
Benjamin MM, Hayes K, Field ME, Scheinman MM, Hoffmayer KS. Bidirectional ventricular tachycardia in cardiac sarcoidosis. J Arrhythm 2016; 33:69-72. [PMID: 28217233 PMCID: PMC5300862 DOI: 10.1016/j.joa.2016.05.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 04/29/2016] [Accepted: 05/06/2016] [Indexed: 11/17/2022] Open
Abstract
A 73-year-old man with history of pulmonary sarcoidosis was found to have runs of non-sustained bidirectional ventricular tachycardia (BVT) with two different QRS morphologies on a Holter monitor. Cardiac magnetic resonance delayed gadolinium imaging revealed a region of patchy mid-myocardial enhancement within the left ventricular basal inferolateral myocardium. An 18-fluorodeoxyglucose positron emission tomography (FDG-PET) showed increased uptake in the same area, consistent with active sarcoid, with no septal involvement. Follow-up FDG-PET one year later showed disease progression with new septal involvement. Cardiac sarcoidosis, characterized by myocardial inflammation and interstitial fibrosis that can lead to conduction system disturbance and macro re-entrant arrhythmias, should be considered in differential diagnosis of BVT. BVT may indicate septal involvement with sarcoidosis before the lesions are large enough to be detected radiologically.
Collapse
Affiliation(s)
- Mina M. Benjamin
- Department of Internal Medicine (Division of Cardiology), University of Wisconsin Hospital and Clinics, 600 Highland Ave, Madison, WI 53713, United States
- Corresponding author. Tel.: +1 608 263 3041; fax: +1 608 263 1534.
| | - Kevin Hayes
- Department of Internal Medicine (Division of Cardiology), University of Wisconsin Hospital and Clinics, 600 Highland Ave, Madison, WI 53713, United States
| | - Michael E. Field
- Department of Internal Medicine (Division of Cardiology), University of Wisconsin Hospital and Clinics, 600 Highland Ave, Madison, WI 53713, United States
| | - Melvin M. Scheinman
- Department of Internal Medicine (Division of Cardiology), University of California in San Francisco, 500 Parnassus Avenue, San Francisco, CA 94143, United States
| | - Kurt S. Hoffmayer
- Department of Internal Medicine (Division of Cardiology), University of Wisconsin Hospital and Clinics, 600 Highland Ave, Madison, WI 53713, United States
| |
Collapse
|
22
|
Vazquez MV, Selvendran S, Cheluvappa R, McKay MJ. Peritoneal mesothelioma metastasis to the tongue - Comparison with 8 pleural mesothelioma reports with tongue metastases. Ann Med Surg (Lond) 2016; 5:101-5. [PMID: 26900461 DOI: 10.1016/j.amsu.2015.12.059] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2015] [Revised: 12/22/2015] [Accepted: 12/22/2015] [Indexed: 12/18/2022] Open
Abstract
Purpose Malignant mesothelioma (MM) rarely arises from the peritoneum. We describe the 1st such case which metastasised to the head and neck region (tongue). Methods We briefly surveyed the American Surveillance Epidemiology and End Results (SEER) database, and the British Cancer Research UK database for the latest trends in MM incidence. We did a systematic Pubmed search for other MM reports with tongue metastases. Results and presentation of case American and British data show that MM incidence in men has stabilised in the last 10 years, earlier than previously predicted. The tongue is an unusual site for MM spread, with ours being only the 9th such case described. Our summary of published cases of MM metastasising to the tongue brings out our patient to be the least in age(35 years), and the only one to have peritoneal MM as the primary. Seven of the 9 cases were male. Only 2 had a recorded history of exposure to asbestos. All 9 patients had the epithelioid subtype of MM. Surgery was done as the exclusive reported intervention in 4 out of the 9 patients. Only 2 cases received radiotherapy, amongst whom, only our patient responded. Conclusions Metastasis of MM to the tongue is rare and usually in the uncommon context of MM with multiple sites of extra-thoracic or extra-abdominal spread. We have described a unique clinical manifestation of a rare subtype of mesothelioma. Moreover, we have tabulated and summarised details (including responses to surgery or/and radiotherapy) regarding all reported cases of mesotheliomas with tongue metastasis. MM incidence in “Western” men has stabilised in the last 10 years. Our case of MM with tongue metastasis was unfortunately very young, in fact the least aged amongst all reported cases. Our case is the only recorded one with peritoneal MM metastasising to the tongue. Our case probably presents an unusual pattern of mesothelioma metastatic progression, specifically from the abdomen to the chest, and from there, to the oral cavity. All reports of MM with tongue metastases concisely tabulated and compared.
Collapse
Key Words
- CT, Computerised tomography
- Gy, Gray
- HIPEC, Hyperthermic intraperitoneal chemotherapy
- MM, Malignant mesothelioma
- MRI, Magnetic resonance imaging
- Malignant mesothelioma
- PET, Positron emission tomography
- Peritoneal mesothelioma
- Pleural mesothelioma
- RX, Recipe (Treatment)
- Radiotherapy
- SEER, Surveillance epidemiology and end results
- Surgery
- Tongue metastasis
- cm, Centimetre (s)
- mm, millimetre
Collapse
|
23
|
Munekane M, Motomura S, Kamino S, Ueda M, Haba H, Yoshikawa Y, Yasui H, Hiromura M, Enomoto S. Visualization of biodistribution of Zn complex with antidiabetic activity using semiconductor Compton camera GREI. Biochem Biophys Rep 2015; 5:211-215. [PMID: 28955826 PMCID: PMC5600336 DOI: 10.1016/j.bbrep.2015.12.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Revised: 11/24/2015] [Accepted: 12/07/2015] [Indexed: 01/18/2023] Open
Abstract
Various types of zinc (Zn) complexes have been developed as promising antidiabetic agents in recent years. However, the pharmacological action of Zn complex is not elucidated because the biodistribution of the complex in a living organism has not been studied. Nuclear medicine imaging is superior technology for the noninvasive analysis of the temporal distribution of drug candidates in living organisms. Gamma-ray emission imaging (GREI), which was developed by our laboratory as a novel molecular imaging modality, was adopted to visualize various γ-ray–emitting radionuclides that are not detected by conventional imaging techniques such as positron emission tomography and single-photon emission computed tomography. Therefore, we applied GREI to a biodistribution assay of Zn complexes. In the present study, 65Zn was produced in the natCu(p,n) reaction in an azimuthal varying field cyclotron for the GREI experiment. The distribution was then noninvasively visualized using GREI after the intravenous administration of a 65Zn-labeled di(1-oxy-2-pyridinethiolato)zinc [Zn(opt)2], ZnCl2, and di(l-histidinato)zinc. The GREI images were validated using conventional invasive assays. This novel study showed that GREI is a powerful tool for the biodistribution analysis of antidiabetic Zn complexes in a living organism. In addition, accumulation of 65Zn in the cardiac blood pool was observed for [Zn(opt)2], which exhibits potent antidiabetic activity. These results suggest that the slow elimination of Zn from the blood is correlated to the antidiabetic activity of [Zn(opt)2]. GREI was applied to the biodistribution analysis of Zn complexes. The characteristic accumulation of 65Zn for [Zn(opt)2] was successfully visualized. Long retention in the blood may be related in the antidiabetic effect of [Zn(opt)2].
Collapse
Affiliation(s)
- Masayuki Munekane
- Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.,Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo 102-0083, Japan
| | - Shinji Motomura
- Next-generation Imaging Team, RIKEN Center for Life Science Technologies, 6-7-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
| | - Shinichiro Kamino
- Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.,Next-generation Imaging Team, RIKEN Center for Life Science Technologies, 6-7-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
| | - Masashi Ueda
- Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan
| | - Hiromitsu Haba
- RIKEN Nishina Center for Accelerator-Based Science, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Yutaka Yoshikawa
- Department of Analytical and Bioinorganic Chemistry, Division of Analytical and Physical Chemistry, Kyoto Pharmaceutical University, 5 Nakauchi-cho, Misasagi, Yamashina-ku, Kyoto 607-8414, Japan
| | - Hiroyuki Yasui
- Department of Analytical and Bioinorganic Chemistry, Division of Analytical and Physical Chemistry, Kyoto Pharmaceutical University, 5 Nakauchi-cho, Misasagi, Yamashina-ku, Kyoto 607-8414, Japan
| | - Makoto Hiromura
- Next-generation Imaging Team, RIKEN Center for Life Science Technologies, 6-7-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
| | - Shuichi Enomoto
- Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 1-1-1 Tsushimanaka, Kita-ku, Okayama 700-8530, Japan.,Next-generation Imaging Team, RIKEN Center for Life Science Technologies, 6-7-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
| |
Collapse
|
24
|
Abstract
The use of FDG PET/CT in the assessment of oncologic disease is becoming increasingly widespread. The advent of PET/CT however presents some additional challenges; recent reports have emphasized the need to detect incidental findings which can confer additional health risks. We report a case of a pulmonary embolus with pulmonary infarct secondary to a metastatic right atrial mass on a background of squamous cell carcinoma of the neck that demonstrated findings on both the PET and CT portions of the examination. The significance of standardized uptake value (SUV) in the differential diagnosis of chest lesions is discussed. This report highlights the possible co-existence of non-metastatic, but potentially life threatening abnormalities that may be present on the CT portion of such studies.
Collapse
Key Words
- CT, Computed tomography
- CTPA, CT pulmonary angiography
- FDG, 2-deoxy-2-(F-18) fluoro-D-glucose
- FNA, Fine needle aspiration
- MBq, Mega Becquerel
- PE, Pulmonary embolism
- PET, Positron emission tomography
- PET/CT, Positron emission tomography/computed tomography
- RA, Right atrium
- SUV, Standardized uptake value
Collapse
|
25
|
Abstract
Overall health has been linked to socioeconomic status, with the gap between social strata increasing each year. Studying the impact of social position on health and biological functioning in nonhuman primates has allowed researchers to model the human condition while avoiding ethical complexities or other difficulties characteristic of human studies. Using female cynomolgus macaques (Macaca fascicularis), our lab has examined the link between social status and stress for 30 years. Female nonhuman primates are especially sensitive to social stressors which can deleteriously affect reproductive health, leading to harmful consequences to their overall health. Subordinates have lower progesterone concentrations during the luteal phase of menstrual cycle, which is indicative of absence or impairment of ovulation. Subordinate animals receive more aggression, less affiliative attention, and are more likely to exhibit depressive behaviors. They also express higher stress-related biomarkers such as increased heart rates and lower mean cortisol. While no differences in body weight between dominant and subordinate animals are observed, subordinates have lower bone density and more visceral fat than their dominant counterparts. The latter increases risk for developing inflammatory diseases. Differences are also observed in neurological and autonomic function. A growing body of data suggests that diet composition may amplify or diminish physiological stress responses which have deleterious effects on health. More experimental investigation of the health effects of diet pattern is needed to further elucidate these differences in an ongoing search to find realistic and long-term solutions to the declining health of individuals living across the ever widening socioeconomic spectrum.
Collapse
Key Words
- 5-HT, Serotonin
- ACTH, Adrenocorticotropic hormone
- ANS, Autonomic nervous system
- CAA, Coronary artery atherosclerosis
- CRH, Corticotropin-releasing hormone
- CSF, Cerebrospinal fluid
- HDL-C, High-density lipoprotein cholesterol
- HPA, Hypothalamic-pituitary-adrenal
- HR, Heart rate
- HVA, Homovanillic acid
- IGF-1, Insulin-like growth factor-1
- Mediterranean diet
- Nonhuman primates
- PET, Positron emission tomography
- Social status
- Social stress
- TPC, Total plasma cholesterol
- TPH, Tryptophan hydroxylase
- Western diet
Collapse
Affiliation(s)
- Carol A. Shively
- Department of Pathology/Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston–Salem, NC 27157-1040, USA
| | - Stephen M. Day
- Integrative Physiology & Pharmacology Graduate Program, Department of Pathology/Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston–Salem, NC 27157-1040, USA
| |
Collapse
|
26
|
Abstract
Hormonal and metabolic signals interact with neural circuits orchestrating behavior to guide food intake. Neuroimaging techniques such as functional magnetic resonance imaging (fMRI) enable the identification of where in the brain particular mental processes like desire, satiety and pleasure occur. Once these neural circuits are described it then becomes possible to determine how metabolic and hormonal signals can alter brain response to influence psychological states and decision-making processes to guide intake. Here, we provide an overview of the contributions of functional neuroimaging to the understanding of how subjective and neural responses to food and food cues interact with metabolic/hormonal factors.
Collapse
Affiliation(s)
| | - Dana M. Small
- The John B Pierce Laboratory, 290 Congress Avenue, New Haven, CT 06511, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| |
Collapse
|