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Objective: To test the predictive accuracy and reporting reproducibility of digital chest radiographs under low-resource conditions.
Methods: One hundred thirty four tachypneic children who presented to two Indian hospitals were enrolled. Based on review of 16 variables recorded in the Emergency Room (ER) by a senior pediatrician, children were given one of the four clinical diagnoses: pneumonia, wheezy disease, mixed and non-respiratory. Every child also had a digital CXR. It was interpreted by ER physician, pediatrician and two independent radiologists. All used the same standardized interpretation system (one or more of: normal, minor patches, major patches, hyperinflation, lobar change, pleural effusion).
Results: The 10 % of CXRs showing pleural effusions reliably predicted pneumonia and disease severity. For all other CXR findings, the correlation between CXR interpretation and clinical diagnosis was moderate to poor. Apart from pleural effusions, inter-observer agreements between interpretations made by ER physician, pediatrician and radiologist were also poor (kappa <0.4).
Conclusions: With the exception of pleural effusions, CXR findings, interpreted by a radiologist, had moderate to poor power to predict respiratory diagnosis or disease severity defined by a pediatrician. Value of CXRs was further reduced by poor inter-observer agreement. When investigating tachypneic children under low-resource conditions, CXRs should be used with a clear understanding of their limitations.
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http://dx.doi.org/10.1007/s12098-016-2057-7 | DOI Listing |
J Magn Reson Imaging
September 2025
Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, Texas, USA.
Background: Cerebrovascular reactivity reflects changes in cerebral blood flow in response to an acute stimulus and is reflective of the brain's ability to match blood flow to demand. Functional MRI with a breath-hold task can be used to elicit this vasoactive response, but data validity hinges on subject compliance. Determining breath-hold compliance often requires external monitoring equipment.
View Article and Find Full Text PDFCurr Opin Neurol
October 2025
Neuromuscular Diseases Unit, Department of Neurology, IR SANT PAU, Hospital de la Santa Creu i Sant Pau, CIBERER, Barcelona, Spain.
Purpose Of Review: Autoimmune nodopathies (AN) are a recognized distinct group of immune-mediated peripheral neuropathies with unique immunopathological features and therapeutic implications. This review synthesizes recent advances in their pathogenesis, diagnosis, and management, which have refined their clinical classification and informed targeted treatment strategies.
Recent Findings: AN are characterized by autoantibodies targeting surface proteins in the nodal-paranodal area (anti-contactin-1, anti-contactin-associated protein 1, anti-neurofascin-155, anti-pan-neurofascin), predominantly of IgG4 subclass.
J Pathol Transl Med
September 2025
Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
Background: Prostate cancer is one of the most common malignancies in males worldwide. Serum prostate-specific antigen is a frequently employed biomarker in the diagnosis and risk stratification of prostate cancer; however, it is known for its low predictive accuracy for disease progression. New prognostic biomarkers are needed to distinguish aggressive prostate cancer from low-risk disease.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFDermatitis
September 2025
From the Department of Dermatology, Venereology and Leprology, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Contact dermatitis (CD), which includes both allergic CD and irritant CD, is a common inflammatory condition that can pose significant diagnostic challenges. Although patch testing is the gold standard for identifying causative allergens for allergic contact dermatitis (ACD), it is time-consuming, subjective, and requires expert interpretation. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning, have shown promise in improving the accuracy, efficiency, and accessibility of CD diagnosis and management.
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