Anthropometry, sex, and age at diagnosis affect pulmonary blood volume quantification from computed tomography pulmonary angiography in pulmonary hypertension assessment - Scorecard - MDSpire

Anthropometry, sex, and age at diagnosis affect pulmonary blood volume quantification from computed tomography pulmonary angiography in pulmonary hypertension assessment

  • By

  • Ghani, Hakim

  • Thillai, Muhunthan

  • Walsh, Simon

  • Bussell, Elliott

  • Graves, Martin

  • Pepke-Zaba, Joanna

  • April 27, 2026

  • 0 min

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Clinical Scorecard: Impact of Anthropometric Factors, Gender, and Age at Diagnosis on Pulmonary Blood Volume Measurement via Computed Tomography Pulmonary Angiography in Evaluating Pulmonary Hypertension

At a Glance

CategoryDetail
ConditionPulmonary Hypertension
Key MechanismsInfluence of anthropometrics, sex, and age on pulmonary blood volume (PBV) measurements.
Target PopulationPatients diagnosed with pulmonary hypertension, including various subtypes.
Care SettingSecondary analysis from the Cambridge PH Registry using computed tomography pulmonary angiography (CTPA).

Key Highlights

  • 376 patients analyzed with a median age of 60 years and 57% female.
  • Pulmonary artery volume correlates with height, weight, BMI, and BSA.
  • Older age at diagnosis linked to larger pulmonary artery volumes, especially in heavier patients.
  • PBV normalization to anthropometrics reduces sex-related differences.
  • Increased pulmonary artery volume associated with higher pulmonary vascular resistance (PVR).

Guideline-Based Recommendations

Diagnosis

  • Utilize AI-derived PBV measurements in conjunction with traditional diagnostic methods.

Management

  • Consider anthropometric factors when interpreting PBV for pulmonary hypertension management.

Monitoring & Follow-up

  • Regular assessment of pulmonary artery and vein volumes in relation to patient demographics.

Risks

  • Higher pulmonary artery volume and lower pulmonary vein volume may indicate increased PVR.

Patient & Prescribing Data

Patients with pulmonary hypertension, including subtypes such as pulmonary arterial hypertension and chronic thromboembolic PH.

Incorporating anthropometric data can enhance predictive models for PVR and cardiac output.

Clinical Best Practices

  • Account for anthropometric factors in pulmonary blood volume assessments.
  • Use AI-derived metrics to improve clinical decision-making in pulmonary hypertension.
  • Monitor changes in PBV over time to assess treatment efficacy.

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