
doi: 10.1007/bf00253757
pmid: 6309525
We have developed a computer method which by automatically locating the border of the gallbladder in each image and subtracting a varying location-dependent background corresponding to the gallbladder border overcomes the difficulties associated with quantitating gallbladder contraction. These difficulties are attributable to significant and changing background activity, imprecise manual delineation of the gallbladder, and the changing position and shape of the gallbladder. Validation studies using a gallbladder phantom showed the method to be very accurate. No significant difference (P greater than 0.05) was observed between the expected and calculated ejection fractions. Ten patient studies were analyzed, with a resulting range of gallbladder ejection fractions of 22-79%. Excellent reproducibility was obtained with an average intraobserver coefficient of variation of 3.5%, and no statistically significant difference in interobserver measurements (P greater than 0.05). The regression line for interobserver measurements had a slope of 0.96 +/- 0.08, an intercept of 1.6 +/- 4.0%, and a correlation coefficient of 0.99. From these preliminary results we conclude that this method offers a reliable means of quantitating gallbladder contraction.
Models, Anatomic, Computers, Imino Acids, Gallbladder, Technetium, Organotechnetium Compounds, Technetium Tc 99m Disofenin, Models, Biological, Peptide Fragments, Sincalide, Humans, Cholecystokinin, Radionuclide Imaging
Models, Anatomic, Computers, Imino Acids, Gallbladder, Technetium, Organotechnetium Compounds, Technetium Tc 99m Disofenin, Models, Biological, Peptide Fragments, Sincalide, Humans, Cholecystokinin, Radionuclide Imaging
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
