A5037910067- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Ultrasound in Clinical Applications
- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Cardiac Imaging and Diagnostics
- Atomic and Subatomic Physics Research
- Pleural and Pulmonary Diseases
- Radiology practices and education
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Pulmonary Hypertension Research and Treatments
- Systemic Sclerosis and Related Diseases
- Digital Radiography and Breast Imaging
- MRI in cancer diagnosis
- Eosinophilic Esophagitis
- Cardiac tumors and thrombi
- Biological Research and Disease Studies
- COVID-19 Clinical Research Studies
- Case Reports on Hematomas
- Occupational and environmental lung diseases
- IL-33, ST2, and ILC Pathways
Ramathibodi Hospital
2017-2024
Mahidol University
2017-2024
Massachusetts General Hospital
2018-2024
Harvard University
2018-2021
Background Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest radiographs, DL algorithms found success in the evaluation abnormalities such as lung nodules, pulmonary tuberculosis, cystic fibrosis, pneumoconiosis, location peripherally inserted central catheters. Chest radiography represents most commonly performed radiological test a multitude non-emergent emergent clinical indications. This...
Semiautomatic Segmentation and Radiomics for Dual-Energy CT: A Pilot Study to Differentiate Benign Malignant Hepatic LesionsFatemeh Homayounieh1, Ramandeep Singh1, Chayanin Nitiwarangkul1,2, Felix Lades3, Bernhard Schmidt3, Martin Sedlmair3, Sanjay Saini1 Mannudeep K. Kalra1Audio Available | Share
Background: Lung cancer screening (LCS) with low-dose computed tomography (LDCT) helps early lung detection, commonly presenting as small pulmonary nodules. Artificial intelligence (AI)-based vessel suppression (AI-VS) and automatic detection (AI-AD) algorithm can improve of subsolid nodules (SSNs) on LDCT. We assessed the impact AI-VS AI-AD in classification SSNs [ground-glass (GGNs) part-solid (PSNs)], LDCT performed for LCS.
Abstract Background EGFR inhibitor and immunotherapy have been approved for adjuvant treatment in resectable non-small cell lung cancer (NSCLC). Limited reports of molecular clinical characteristics as prognostic factors NSCLC published. Methods Medical records patients with stage I–III diagnosed during 2015–2020 were reviewed. Real time-PCR (RT-PCR) was performed mutations ( EGFRm ). Immunohistochemistry staining conducted ALK PD-L1 expression. Categorical variables compared using...
Abstract Background Accurate diagnosis of idiopathic pulmonary fibrosis (IPF) is essential to inform prognosis and treatment. In 2018, the ATS/ERS/JRS/ALAT Fleischner Society released new diagnostic guidelines for usual interstitial pneumonitis (UIP)/IPF, adding Probable UIP as a CT category based on prior studies demonstrating this had relatively high positive predictive value (PPV) histopathologic UIP/Probable UIP. This study applies 2018 determine test characteristics categories in...
To ascertain: (i) if elderly patients with fixed airflow obstruction (FAO) due to asthma and chronic obstructive pulmonary disease (COPD) have distinct airway morphologic physiologic changes; (ii) the correlation between morphology of proximal/peripheral airways respiratory impedance.Twenty-five cases FAO 22 COPD were enrolled. High-resolution computed tomography was used measure wall area (WA) lumen (LA) proximal at apical segmental bronchus right upper lobe (RB1) adjusted by body surface...
Due to the rapid spread of COVID-19 during third wave infection in Thailand, number confirmed cases has increased exponentially since April 2021. As a result, country’s healthcare facilities and personnel are overwhelmed. Hence, many new intervention strategies have been designed implemented. In such resource-constrained condition, multiple alternate care sites, as converted hotels (the so-called hospitels) mobile field medical units, established for quarantine taking having no or mild...
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We assessed if non-breath-hold (NBH) fast scanning protocol can provide respiratory motion-free images for interpretation of chest computed tomography (CT).In our 2-phase project, we first collected baseline data on frequency motion artifacts breath-hold CT in 826 adult patients. The second phase included 62 patients (mean age 66 ± 15 years; 21 females, 41 males) who underwent an NBH either single-source (n = 32) or dual-source 30) multidetector-row scanners. Clinical indications CT, reason...
To assess and compare detectability of pneumothorax on unprocessed baseline, single-energy, bone-subtracted, enhanced frontal chest radiographs (chest X-ray, CXR).Our retrospective institutional review board-approved study included 202 patients (mean age 53 ± 24 years; 132 men, 70 women) who underwent CXR had trace, moderate, large, or tension pneumothorax. All (except those with pneumothorax) concurrent computed tomography (CT). Two radiologists reviewed the CT for baseline (ground truth)....
In Thailand, the rapid and constant rise in number of confirmed COVID-19 cases, together with increasing patients requiring respiratory other medical life support during third wave COVID-19, has drastically overwhelmed existing country’s healthcare facilities, physicians, workers. Hence, early identification vulnerable at risk pneumonia is crucial for timely management treatment by antivirals or corticosteroids to prevent them from developing severe pneumonia. A prompt chest X-ray report...
Abstract Background In the precision medicine era, leveraging advanced technology, including deep learning, has potential to enhance diagnostic accuracy across various diseases. However, chest radiography (CXR), pivotal for heart failure (HF) diagnosis, currently limited precision. Methods Through a retrospective cohort study encompassing 144 participants from RAMA dataset at Ramathibodi Hospital (spanning January 1, 2010, December 31, 2019), 240 HF CXR images were scrutinized and annotated...
The rising issues in practice related with thoracic diagnostic imaging both private and public sectors were presented to a panel consisting of radiologist experts from all parts Thailand meeting held on 20 October 2023 by the Royal College Radiologists (RCRT) collaboration Foundation Orphan Rare Lung Disease (FORLD) at Asoke Conference Room fourth floor Eastin Grand Hotel, Phaya Thai, Bangkok. grouped into 3 agendas: post implementation review National HRCT Protocol, safety effectiveness...
The purpose of this study was to describe Thoracic magnetic resonance (MR) acquisition time (AT) variability, associations, and technologist insights as its causes at a large quaternary institution, by MR protocol imaging site.A retrospective review our 2017 QI database 1.5 T ATs for adults 19 years above the main hospital outpatient (OPT) satellites performed all 5 protocols. Summary statistics were calculated ATs. Multivariable linear regression adjusted age, sex, body mass index,...
Although pulmonary tumor embolism (PTE) is a well-recognized end-stage form of metastases at postmortem examination, the entity rarely first clinical sign prostate cancer. Diagnosis this condition in patients who have no previous history malignancy challenge. Herein, we reported 79-year-old man presented with progressive, unexplained dyspnea on exertion. Microscopic PTE coinciding lymphangitic carcinomatosis were readily recognized based presence multifocal dilatation and beading peripheral...
of discussions and brainstorming session on imaging guidelines recommendations
of discussions and brainstorming session on imaging guidelines recommendations