Quantitative radiocardiographic evaluation of cardiac dynamics in man at rest and during exercise

Kuikka, Jyrki T.; Timisjärvi, J.; Tuominen, M.

doi:10.3109/00365517909106127

Cited by 20 publications

(39 citation statements)

References 24 publications

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“…First pass radionuclide cardiography has been used for direct measurement of right-to-left ventricular or right ventricular-to-left atrial CPTT at rest and during exercise in normal, healthy subjects (Giuntini et al 1963;Rerych et al 1978Rerych et al , 1980Kuikka et al 1979;Behr et al 1981;Hannan et al 1981;Iskandrian et al 1981Iskandrian et al , 1982MacNee et al 1989;Markewitz & Hemmer, 1991;Hopkins et al 1996;Capderou et al 1997;Kuikka, 2000;Zavorsky et al 2002b). Mean CPTT and the distribution of CPTT are usually derived from measurements over a 30 s period, using first pass radionuclide cardiography.…”

Section: Methods To Directly Calculate Whole Lung Pulmonary Transit Tmentioning

confidence: 99%

“…The studies available show that the relative dispersion of CPTT is about 0.51 at rest (ÿ = 3.8 ± 0.6 l m 2 min _1 ) (Kuikka et al 1979;Kuikka, 2000), which diminishes by ~31 % to 0.37 during moderate exercise (ÿ = 9.1 ± 1.4 l m 2 min _1 ) (Kuikka et al 1979;Kuikka, 2000) and only slightly diminishes further during severe exercise (RD = 0.29 ± 0.07; ÿ = 15.8 ± 2.0 l m 2 min _1 ) (Zavorsky et al 2002a,b). However, the relative dispersion of pulmonary capillary transit times is slightly different to that of CPTT.…”

Section: Figurementioning

confidence: 99%

“…Relationship between mean pulmonary transit time (CPTT; filled circles), cardiopulmonary blood volume index (CPBVI; open circles) and cardiac index (CI) in 88 different healthy individual humans (76 males, 12 females) under various exercise intensities (184 data points) (Rerych et al 1978;Kuikka et al 1979;Hopkins, 1992;Hopkins et al 1996;Capderou et al 1997;Zavorsky et al 2002b). Mean age 31 years; mean body surface area 1.91 m 2 .…”

Section: Figurementioning

confidence: 99%

“…As such, in order to verify that the power function described in eqn (3) is not valid to explain the relationships between transit time, flow and cardiopulmonary blood volume during exercise, the coefficient b in eqn (3) was calculated from the studies that had either individual or grouped data on CPTT and CI at rest and exercise (Table 1) (Rerych et al 1978(Rerych et al , 1980Kuikka et al 1979;Behr et al 1981;Iskandrian et al 1982;Hopkins et al 1996). The mean coefficient b was obtained from each study and a weighted mean for coefficient b was calculated.…”

Section: Figurementioning

confidence: 99%

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Red Cell Pulmonary Transit Times Through the Healthy Human Lung

Zavorsky

Walley

Russell

2003

Experimental Physiology

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It has previously been postulated that rapid red cell capillary transit through the human lung plays a role in the mechanism of diffusion limitation in some endurance athletes. Methodological limitations currently prevent researchers from directly measuring pulmonary capillary transit times in humans during exercise; however, first pass radionuclide cardiography allows direct measurement of red blood cell (RBC) transit times through the whole lung at various exercise intensities. We examined the relationship between mean whole lung red cell pulmonary transit times (cardiopulmonary transit times or CPTT) and different levels of flow in 88 healthy humans (76 males, 12 females) from several studies (mean age 31 years). The pooled data suggest that the relationship between CPTT and cardiac index (CI), beginning at rest and progressing through to maximum exercise demonstrates that CPTT reaches its minimum value when CI is about 8.1 l m2 min−1 (2.5‐3 times the CI value at rest), and does not significantly change with further increases in CI. Cardiopulmonary blood volume (CPBV) index also does not change significantly until CI reaches 2.5 to 3 times the CI value at rest and then increases roughly linearly after that point. Consequently, the systematic increase in CPBV index with increasing pulmonary blood flow between 8.1 and 20 l m2 min−1 displays an adaptive response of the cardiopulmonary system by augmenting CPBV (and perhaps pulmonary capillary blood volume through distension and recruitment) to offset the reduction in CPTT, as no significant difference in mean CPTT is observed between these levels of flow (P > 0.05). Therefore, these data demonstrate that CPBV does not reach maximum capacity during strenuous or maximum exercise. This does not support the principle of quarter‐power allometric scaling for flow when explaining modifications during exercise. Therefore, we speculate that the observed relationships between CPTT, CBPV index and flow may prevent mean CPTT (and perhaps mean pulmonary capillary transit times) from decreasing below the threshold time required for oxygenation.

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Section: Methods To Directly Calculate Whole Lung Pulmonary Transit Tmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

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Red Cell Pulmonary Transit Times Through the Healthy Human Lung

Zavorsky

Walley

Russell

2003

Experimental Physiology

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“…Pulmonary blood¯ow (PBF), transit time (PTT) and volume (PBV) in man at rest and during exercise can be non-invasively estimated by using the ®rst-pass radiocardiography (Kuikka et al, 1979). The estimates are based on measured tracer bolus¯ow through the cardiopulmonary system (Zierler, 1962;Bassingthwaighte, 1970).…”

Section: Introductionmentioning

confidence: 99%

A fractal approach for evaluation of pulmonary circulation in man at rest and during exercise

Kuikka

Länsimies

1999

Clinical Physiology

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Changes in pulmonary circulation caused by muscular exercise and body position are usual in daily life. By using first-pass radiocardiography and fractal analysis, pulmonary circulation in man was evaluated at rest and during muscular exercise. At rest, pulmonary circulation was heterogeneous as described by the relative dispersion (which is the coefficient of variation, i.e. the standard deviation of the pulmonary transit times divided by the mean transit time; RD = 0.51 +/- 0.06) and fractal in nature. During exercise, pulmonary circulation became more homogeneous (RD = 0.35 +/- 0.04; P < 0.001). The calculated fractal dimension decreases from 1.09 at rest to 1.06 during exercise. The model identifies a cubic-law response for circulation heterogeneity and a quarter-power law for resistance during muscular exercise.

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Quantitation

Royal¹,

McNeil²

1998

Clinical Nuclear Medicine

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Quantitative radiocardiographic evaluation of cardiac dynamics in man at rest and during exercise

Cited by 20 publications

References 24 publications

Red Cell Pulmonary Transit Times Through the Healthy Human Lung

Red Cell Pulmonary Transit Times Through the Healthy Human Lung

A fractal approach for evaluation of pulmonary circulation in man at rest and during exercise

Quantitation

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