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Hu YS, Wu CA, Lin DC, Lin PW, Lee HJ, Lin LY, Lin CJ. Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals. Cancer Imaging 2024; 24:22. [PMID: 38326850 PMCID: PMC10848416 DOI: 10.1186/s40644-024-00665-z] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 01/20/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Whole-body magnetic resonance imaging (WB-MRI) has emerged as a valuable tool for cancer detection. This study evaluated the prevalence rates of cancer in asymptomatic individuals undergoing WB-MRI according to the Oncologically Relevant Findings Reporting and Data System (ONCO-RADS) classifications in order to assess the reliability of the classification method. METHODS We retrospectively enrolled 2064 asymptomatic individuals who participated in a WB-MRI cancer screening program between 2017 and 2022. WB-MRI was acquired on a 3-T system with a standard protocol, including regional multisequence and gadolinium-based contrast agent-enhanced oncologic MRI. Results of further examinations, including additional imaging and histopathology examinations, performed at our institute were used to validate the WB-MRI findings. Two radiologists blinded to the clinical outcome classified the WB-MRI findings according to the ONCO-RADS categories as follows: 1 (normal), 2 (benign finding highly likely), 3 (benign finding likely), 4 (malignant finding likely), and 5 (malignant finding highly likely). Firth logistic regression analysis was performed to determine the associations between participant characteristics and findings of ONCO-RADS category ≥ 4. RESULTS Of the 2064 participants with median age of 55 years, 1120 (54.3%) were men, 43 (2.1%) had findings of ONCO-RADS category ≥ 4, and 24 (1.2%) had confirmed cancer. The cancer prevalence rates were 0.1%, 5.4%, 42.9%, and 75% for ONCO-RADS categories 2, 3, 4, and 5, respectively. In the multivariable model, older age (OR: 1.035, p = 0.029) and history of hypertension (OR: 2.051, p = 0.026), hepatitis B carrier (OR: 2.584, p = 0.013), or prior surgery (OR: 3.787, p < 0.001) were independently associated with the findings for ONCO-RADS category ≥ 4. CONCLUSIONS The ONCO-RADS categories for cancer risk stratification were validated and found to be positively correlated with cancer risk. The application of ONCO-RADS facilitates risk-based management after WB-MRI for cancer screening.
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Affiliation(s)
- Yong-Sin Hu
- Department of Radiology, Taipei Hospital, Ministry of Health and Welfare, New Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chia-An Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Radiology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Dao-Chen Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Endocrine and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Po-Wei Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Han-Jui Lee
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Lo-Yi Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chung-Jung Lin
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
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Sun H, Wu Y, Sung L, Lin X, Tsai F, Lin Y, Tam K, Wang F, Chang S. Use of consecutive transcutaneous oxygen measurement when assessing the need for revascularization and association with the outcomes of ischemic diabetic ulcers. Int Wound J 2024; 21:e14635. [PMID: 38272805 PMCID: PMC10789651 DOI: 10.1111/iwj.14635] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/17/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
This study compared the ankle-brachial index (ABI) with transcutaneous oxygen pressure (TcPO2 ) in assessing peripheral vascular disease (PVD) prevalence in 100 diabetic foot ulcer (DFU) patients. Patients were categorized into vascular or nonvascular reconstruction groups and underwent both ABI and TcPO2 measurements four times over 6 months. Predictive validity for PVD diagnosis was analysed using the area under the receiver-operating characteristic curve (AUC). The study found TcPO2 to be a superior predictor of PVD than ABI. Among the DFU patients, 51 with abnormal TcPO2 values underwent vascular reconstruction. Only TcPO2 values showed significant pretreatment differences between the groups and increased post-reconstruction. These values declined over a 6-month follow-up, whereas ABI values rose. For those with end-stage renal disease (ESRD), TcPO2 values saw a sharp decrease within 3 months. Pre-reconstruction TcPO2 was notably lower in amputation patients versus limb salvage surgery patients. In conclusion, TcPO2 is more effective than ABI for evaluating ischemic limb perfusion and revascularization necessity. It should be prioritized as the primary follow-up tool, especially for ESRD patients.
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Affiliation(s)
- Hao‐Yi Sun
- School of Medicine, College of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Yi‐Chun Wu
- Division of Plastic Surgery, Integrated Burn & Wound Care Center, Department of SurgeryShuang‐Ho HospitalNew Taipei CityTaiwan
- Department of Biomedical EngineeringNational Yang Ming Chiao Tung UniversityTaipeiTaiwan
| | - Li‐Chin Sung
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of MedicineTaipei Medical UniversityTaipeiTaiwan
- Division of Cardiology, Department of Internal Medicine, Shuang‐Ho HospitalTaipei Medical UniversityNew Taipei CityTaiwan
- Taipei Heart InstituteTaipei Medical UniversityTaipeiTaiwan
- TMU Research Center of Urology and Kidney (TMU‐RCUK)Taipei Medical UniversityTaipeiTaiwan
| | - Xin‐Yi Lin
- Division of Plastic Surgery, Integrated Burn & Wound Care Center, Department of SurgeryShuang‐Ho HospitalNew Taipei CityTaiwan
| | - Feng‐Chou Tsai
- Division of Plastic Surgery, Integrated Burn & Wound Care Center, Department of SurgeryShuang‐Ho HospitalNew Taipei CityTaiwan
- Department of Surgery, School of Medicine, College of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Yen‐Kuang Lin
- Graduate Institute of Athletics and Coaching ScienceNational Taiwan Sport UniversityTaoyuanTaiwan
| | - Ka‐Wai Tam
- Division of General Surgery, Department of Surgery, Shuang‐Ho HospitalTaipei Medical UniversityNew Taipei CityTaiwan
- Division of General Surgery, Department of Surgery, School of Medicine, College of MedicineTaipei Medical UniversityTaipeiTaiwan
- Cochrane TaiwanTaipei Medical UniversityTaipeiTaiwan
| | - Fu‐Yu Wang
- Cabrini HospitalMelbourneVictoriaAustralia
| | - Shun‐Cheng Chang
- Division of Plastic Surgery, Integrated Burn & Wound Care Center, Department of SurgeryShuang‐Ho HospitalNew Taipei CityTaiwan
- Department of Surgery, School of Medicine, College of MedicineTaipei Medical UniversityTaipeiTaiwan
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Tsai CY, Wu SM, Kuan YC, Lin YT, Hsu CR, Hsu WH, Liu YS, Majumdar A, Stettler M, Yang CM, Lee KY, Wu D, Lee HC, Wu CJ, Kang JH, Liu WT. Associations between risk of Alzheimer's disease and obstructive sleep apnea, intermittent hypoxia, and arousal responses: A pilot study. Front Neurol 2022; 13:1038735. [PMID: 36530623 PMCID: PMC9747943 DOI: 10.3389/fneur.2022.1038735] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/04/2022] [Indexed: 01/30/2024] Open
Abstract
OBJECTIVES Obstructive sleep apnea (OSA) may increase the risk of Alzheimer's disease (AD). However, potential associations among sleep-disordered breathing, hypoxia, and OSA-induced arousal responses should be investigated. This study determined differences in sleep parameters and investigated the relationship between such parameters and the risk of AD. METHODS Patients with suspected OSA were recruited and underwent in-lab polysomnography (PSG). Subsequently, blood samples were collected from participants. Patients' plasma levels of total tau (T-Tau) and amyloid beta-peptide 42 (Aβ42) were measured using an ultrasensitive immunomagnetic reduction assay. Next, the participants were categorized into low- and high-risk groups on the basis of the computed product (Aβ42 × T-Tau, the cutoff for AD risk). PSG parameters were analyzed and compared. RESULTS We included 36 patients in this study, of whom 18 and 18 were assigned to the low- and high-risk groups, respectively. The average apnea-hypopnea index (AHI), apnea, hypopnea index [during rapid eye movement (REM) and non-REM (NREM) sleep], and oxygen desaturation index (≥3%, ODI-3%) values of the high-risk group were significantly higher than those of the low-risk group. Similarly, the mean arousal index and respiratory arousal index (R-ArI) of the high-risk group were significantly higher than those of the low-risk group. Sleep-disordered breathing indices, oxygen desaturation, and arousal responses were significantly associated with an increased risk of AD. Positive associations were observed among the AHI, ODI-3%, R-ArI, and computed product. CONCLUSIONS Recurrent sleep-disordered breathing, intermittent hypoxia, and arousal responses, including those occurring during the NREM stage, were associated with AD risk. However, a longitudinal study should be conducted to investigate the causal relationships among these factors.
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Affiliation(s)
- Cheng-Yu Tsai
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Sheng-Ming Wu
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yi-Chun Kuan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yin-Tzu Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Chia-Rung Hsu
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wen-Hua Hsu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yi-Shin Liu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Arnab Majumdar
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Marc Stettler
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Chien-Ming Yang
- Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Dean Wu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Hsin-Chien Lee
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan
| | - Cheng-Jung Wu
- Department of Otolaryngology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Jiunn-Horng Kang
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan
- Graduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Wen-Te Liu
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
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