Human fetal lung morphometry at autopsy with new modeling to quantitate structural maturity.

Pediatr Pulmonol

Department of Anatomical Pathology, S.A. Pathology, Women's and Children's Hospital, Adelaide, South Australia.

Published: June 2017

Objectives: To demonstrate a simplified morphometric procedure, including a new model for acinar structural maturity, applicable to autopsy fetal lung and present reference values for these parameters.

Study Design: Cases with autopsy consent for research were studied. To simplify analysis only critical morphometric parameters were measured to allow calculation of gas-exchange surface area.

Subject Selection: A total of 58 fetuses, 16-40 weeks were included. Subjects were rejected with any condition predisposing to pulmonary hypo/hyperplasia, significant maceration, or if lung weight/bodyweight or microscopy identified pulmonary hypoplasia or lung growth disorders.

Methodology: Lungs were inflation fixed, weights and volumes determined, sampled, then returned to the body. Volume densities (V ) of parenchyma/non-parenchyma and air-space/gas-exchange tissue, gas-exchange surface density (S ), and total surface area (SA) were determined. The number, mean radius, and septal thickness of modeled airspace-spheres were calculated. Equations were generated for each parameter function of gestation and bodyweight.

Results: From 16 to 40-week weights and volumes increased as power functions from ∼4 g/mL to ∼90 g/mL. Parenchyma/non-parenchyma changed little-75:25 (16 weeks) to 71:29 (term). Parenchyma was 10% airspace:90% tissue early and 50:50 by term. Gas-exchange S increased from 175 to 450 cm /cm and total SA increased from 0.059 to 4.793 m . There were 3.31 × 10 airspace-spheres, 12 µ radius, septal thickness 30 µ at 16 weeks, increasing to 56.92 × 10 , 26 µ radius, septal thickness 13 µ by term.

Conclusions: Morphometry can feasibly be performed at autopsy, providing more informative quantitative data on lung structural development than current methods utilized. This reference data set compares well with published data.

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http://dx.doi.org/10.1002/ppul.23675DOI Listing

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