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Related Concept Videos

Difference from Background: Limit of Detection01:05

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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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The partial pressure of a gas is a measure of the thermodynamic activity of the gas's molecules. The pressure that a gas would create if it occupied the total volume available is called the gas's partial pressure. If two or more gases are mixed together in a container, the molecules move randomly and collide with each other, causing them to reach thermal equilibrium. When the gases have the same temperature, their molecules have the same average kinetic energy. Thus, each gas obeys the...
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In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
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The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
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Margin of Error01:27

Margin of Error

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Porosity and Absorption of Aggregate01:20

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Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
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Related Experiment Video

Updated: Mar 15, 2026

Blue-hazard-free Candlelight OLED
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[A not so poorly-defined opacity].

E Bravos1, S Bayle-Bleuez1, A Wahart2

  • 1Service de pneumologie et oncologie thoracique, CHU de St-Étienne, 42100 St-Étienne, France.

Revue Des Maladies Respiratoires
|September 18, 2016
PubMed
Summary
This summary is machine-generated.

Managing lung cancer in patients with pulmonary hypertension requires adapting diagnostic and treatment strategies. This case highlights the importance of tailored approaches for chest physicians when neoplasia coexists with severe pulmonary hypertension.

Keywords:
Cancer bronchopulmonaireHypertension pulmonaireLung cancerMaladie veino-occlusivePulmonary hypertensionVeno-occlusive disease

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Area of Science:

  • Pulmonology
  • Oncology
  • Cardiology

Background:

  • Pulmonary hypertension (PH), particularly pulmonary veno-occlusive disease (PVOD), presents unique challenges in patient management.
  • Co-existing lung cancer in PH patients necessitates modified diagnostic and therapeutic protocols.
  • Conventional approaches may be contraindicated or require significant adaptation in the presence of severe PH.

Observation:

  • A 60-year-old male patient with known PH consistent with PVOD developed a suspicious parenchymal opacity.
  • The diagnostic workup for suspected lung cancer was initiated.
  • The presence of severe PH influenced the selection of imaging, biopsy, and treatment modalities.

Findings:

  • Diagnostic procedures, such as certain imaging techniques and invasive biopsies, were carefully considered due to PH risks.
  • Therapeutic options, including surgical and chemotherapeutic interventions, were modified to account for the patient's cardiovascular status.
  • Successful management involved a multidisciplinary approach integrating pulmonology, oncology, and cardiology expertise.

Implications:

  • Chest physicians must be prepared to adapt standard lung cancer diagnostic and treatment algorithms for patients with severe pulmonary hypertension.
  • Early recognition and tailored management can improve outcomes for PH patients with co-existing lung cancer.
  • This case underscores the need for specialized protocols for managing complex comorbidities in thoracic oncology.