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Background: Transthyretin cardiac amyloidosis (ATTRCA) is a prevalent disease, and it can be associated with heart failure (HF), left ventricle hypertrophy (LVH), atrial fibrillation (AF), and aortic stenosis (AS).

Aim: The study aims to detect the prevalence of ATTRCA in the symptomatic AS population.

Method: A single-center prospective study screening for ATTRCA in patients diagnosed with symptomatic severe AS undergoing aortic valve (AV) intervention.

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Comprehensive treatment strategy in a patient with systemic lupus erythematosus-related pulmonary artery hypertension: a case report.

Eur Heart J Case Rep

January 2025

Division of Cardiology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa Ward, Tokyo 142-8555, Japan.

Background: Although the prognosis in systemic lupus erythematosus (SLE) has dramatically improved, pulmonary artery hypertension (PAH) is one of the life-threatening comorbidities associated with SLE. The management of the comorbidity is occasionally challenging due to the lack of consensus regarding treatment options including immunosuppressive agents, selective pulmonary vasodilators, and cardiac rehabilitation.

Case Summary: A 28-year-old female who terminated prednisolone after remission of SLE by her own discretion 3 years ago developed dyspnoea on effort.

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Rationale: Patients with extensive small cell lung cancer (SCLC) generally have a dismal survival rate and are conventionally treated with chemotherapy. This study aimed to explore an alternative treatment approach by combining traditional Chinese medicine (TCM) with radiotherapy and chemotherapy.

Patient Concerns: A 68-year-old male was diagnosed with extensive-stage SCLC.

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Objective: Tafamidis has shown potential in slowing disease progression in patients with transthyretin amyloid cardiomyopathy (ATTR-CM). This study aimed to evaluate serial changes on [Tc]Tc-pyrophosphate (PYP) scintigraphy during tafamidis treatment for hereditary ATTR-CM.

Methods: We retrospectively analyzed a prospectively collected cohort of Ala97Ser (A97S) hereditary ATTR-CM patients treated with tafamidis (61 mg/day) and a control group comprising A97S hereditary ATTR-CM patients who had not received disease-modifying medications.

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Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.

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