The Comparative Anal/sis of Isotope Clearance Curves in Normal and Ischemic Brain BY J. ESMOND REES, M.R.C.P., J. W. D. BULL, F.R.C.P., G. H. DU BOULAY, F.F.R., JOHN MARSHALL, F.R.C.P., R. W. ROSS RUSSELL, F.R.C.P., AND LINDSAY SYMON, F.R.C.S. Abstract: Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 The Comparative Analysis of Isotope Clearance Curves in Normal and Ischemic Brain • The regional cerebral blood flow has been measured by intracarotid 183 Xenon in ten normal subjects, ten with miscellaneous cerebral ischemic lesions, eight with transient ischemic attacks and seven with completed strokes. The data have been examined by the stochastic and two-compartmental methods of analysis and by reference to the slope of the initial two minutes of the clearance curves. In normal unanesthetized normocapnic subjects the correlation between the results obtained by each of these methods is high. In ischemic lesions the correlation is less god. All three methods, however, are liable to miss, or to misrepresent the significance of, disturbances which can be demonstrated when the proportion and rate of perfusion of gray and white matter are separately estimated. ADDITIONAL KEY WORDS transient ischemic attacks • An essential characteristic of a stroke is the focal nature of the underlying ischemia. For this reason, methods which measure blood flow through the entire cerebral hemisphere, though contributing much to our knowledge of the general hemodynamic changes encountered in vascular disease, do not permit the study of focal disturbances within the hemisphere. The introduction of methods of measuring regional flow in animals by the use of "^Krypton 1 ' 2 and later in man by means of intracarotid 133 Xenon and multiple external detectors8 and the ability to distinguish between flow through gray and white matter by two-compartmental analysis of the isotope clearance curves4 were, therefore, significant advances in the study of the hemodynamic changes which accompany strokes. The isotope clearance curves obtained From the Institute of Neurology, National Hospitals for Nervous Diseases, Queen Square, London, WC1N 3BG, England. This work was supported by a grant from the National Fund for Research into Crippling Diseases. 444 cerebral blood flow strokes when the brain is monitored by highly collimated external detectors after the injection of m X e n o n into the internal carotid artery can be analyzed in a number of ways. If the aim of studying focal disturbances of flow in patients with strokes is to be attained, it is essential that the indications for and limitations of the various methods of curve analysis should be clearly understood. It was to facilitate this understanding that the present study was undertaken. The methods of curve analysis employed in the study were: (1) The stochastic method or "height-over-area" ( H / A ) method as it is frequently called. (2) Two-compartmental analysis to give flow through gray (Fg) and flow through white (Fw) matter and the proportion of gray and white matter beneath a detector (Wg:Ww). This makes it possible to estimate a mean flow which takes into account the proportion of gray and white matter— weighted mean flow ( F ) . (3) Flow initial (F[init]) determined by the slope of the first two minutes of the clearance curve. Stroke, Vol. 2, Sepf«mb«r-Ocfober 1971 ANALYSIS OF ISOTOPE CLEARANCE CURVES The Stochastic Method The mathematical derivation of the stochastic method has been previously elucidated.5"7 The equation CBF = -r— x X brain, where H Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 is the height of the clearance curve and A the area underlying it, involves the use of a X value for whole brain. The solubility coefficient for 1S8Xenon in brain has been established8"10; at a hemoglobin concentration of 15 gm/100 ml blood it is 1.5 in gray matter and 0.8 in white matter. A homogenate of whole brain gave a solubility coefficient of 1.08, indicating the proportion of gray to white matter in whole brain to be 60:40. The application of the stochastic method to the calculation of regional cerebral blood flow (rCBF) assumes that this gray:white ratio holds for all areas. Anatomical dissection of blocks of cerebral tissue as would be monitored by well-collimated external detectors has shown that the proportion of gray matter varies from 7 8 % in the anterior temporal region to 34% in the posterior frontal region.11 The application of the stochastic method to rCBF calculation, therefore, involves a considerable and perhaps generally unjustifiable assumption. Two-Compartmental Analysis Calculation of F giving due weight to the proportion of gray and white matter in the region in question can be achieved by twocompartmental analysis of the clearance curves. This involves the assumption that the curves can be satisfactorily resolved into two exponentials, one representing flow through fast-clearing tissue, believed to be gray matter (Fg), and the other through slow-clearing tissue, believed to be white matter ( F w ) . 1 2 3 8 The limitations of the analysis of exponential curves representing biological data have been studied.14 It is clear that rCBF clearance curves represent a large number of transit times, but that these can be satisfactorily resolved into two exponentials in the vast majority of cases.3' •*• 15~17 Weighted F, therefore, might seem to offer a more accurate measure of the rCBF than can be achieved by the stochastic method. It is important to bear in mind, however, that as Fg is about 80 ml/100 gm/min and Fw about 20 ml/lOOgm/min, F is much more influenced by change in Fg than Stroke, Vol. 2, September-October J977 in Fw and that an appreciable change in the latter might well be concealed. Flow Initial The third method of curve analysis (F[init]) has been developed largely in response to the need for the rapid estimation of rCBF during functional studies.18 Flow is determined from the slope of the initial two minutes of the clearance curve. The equation is D F(initial) = — x X gray X 2.3 X 100 where D is the decade fall of the logarithmic curve during the first two minutes of clearance. The use of X gray is based on the assumption that the early part of the curve is dominated by clearance of gray matter. Again it takes no account of the varying proportions of gray matter beneath detectors overlying different regions of the brain. Although more than two minutes has to be allowed for the clearance of the isotope from the brain before a further injection can be given, the F(init) has the advantage that it permits the measurement of the rCBF during hyperventilation or the inhalation of CO 2 . F(init) has been shown to correlate poorly with Fg, but highly (r = 0.87) with F. 1 1 Thus, each of these three methods of curve analysis has its indications and limitations. The purpose of the present study was to define these more closely by applying all three to data derived from "normal" and ischemic brain and to compare the results. Methods The data subjected to analysis were obtained from ten "normal" subjects and 25 patients with focal ischemic lesions. The "normal" group comprised ten patients suspected of having a cerebral lesion requiring angiography but found after full investigation to be normal; they formed the basis of a previous report.11 The ischemic group comprised ten patients with miscellaneous ischemic cerebral lesions, eight patients with transient ischemic attacks (TIAs) (focal neurological deficits lasting less than 24 hours) and seven patients with completed strokes (focal neurological deficits lasting more than 24 hours) believed on clinical and angiographical grounds to be due to infarction. All were examined immediately prior to angiography. In these patients, 5 to 8 mCi of 1S3Xenon were injected by a Cordis injector triggered by the 445 REES, BULL, DU BOULAY, MARSHALL, RUSSELL, SYMON 5 6 7 IO 8 11 12 approximation this was first compared with F. The results for 14 of the 16 detectors labeled as in figure 1 are given in table 1. Detectors 1 and 14 were excluded, the former because in a number of cases it was not adjacent to the skull and the latter because it was moved from a position immediately posterior to detector 16 to its position on figure 1 during the series. It can be seen that a high degree of correlation, ranging from 0.99 in areas 10 and 11 to 0.85 in area 12, existed between the two methods of analysis for all regions. Ranking the areas according to their correlation coefficients did not reveal any relationship to the closeness with which the Wg:Ww proportion in the area approached the 60:40 assumed in the H/A method. H/A15 flow in every region was lower than the corresponding value for F so that the mean flow for the entire hemisphere by H/A15 was 49.4 ml/100 gm/min, which is less than the 53.7 for F but the difference is not significant. As many authors employing the H/A method have used ten-minute clearance curves despite the fact that these have been shown to overestimate consistently the CBF,19 comparison was next made between F and H/A10 (table 1). This was again high in all areas, ranging from 0.99 in area 11 to 0.84 in area 12. The mean flow for the hemisphere (52.7 ml/100 gm/min) was somewhat higher by 9 13 14 FIGURE 1 Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 Enumeration of detector sites. R wave of the electrocardiogram via a catheter introduced into the internal carotid artery to the level of the first cervical vertebra, isotope clearance being monitored by 16 external detectors placed against the lateral side of the skull. Their position was recorded radiographically and related to the clinoparietal line on the skull radiograph so that topographical localization could be achieved. Full details of the method are given in a previous report.11 Results Theoretically, the H/A method requires that the clearance curve be recorded to infinity, but as a 15-minute curve gives a reasonable TABLE 1 Correlation* Between F and H/ A*, Ar m a 2 3 4 5 6 7 8 9 10 11 12 13 15 16 Mean 446 % Wg 65 50 62 52 40 46 42 63 55 74 53 52 74 65 •? H/A u H/Alt and H'mit) in Ten "Normal" r H/A* Cases r F(lnlt) r H/A,i and Fflnlt) 0.94 0.77 0.96 0.96 0.89 0.93 0.88 0.84 0.97 0.93 0.92 0.87 0.90 0.87 62.5 55.1 51.4 56.7 52.8 45.4 48.7 53.6 50.9 62.5 60.0 49.9 53.0 49.5 56.5 49.9 47.0 53.8 46.2 38.5 41.9 50.7 45.5 60.8 56.4 45.1 51.2 46.2 0.93 0.97 0.96 0.96 0.97 0.97 .9 0.98 0.99 0.99 0.85 0.95 0.96 0.94 60.1 52.6 50.6 57.5 49.6 41.3 44.7 54 3 49.1 63.1 59.6 48.3 54.3 49.2 0.95 0.97 0.98 0.96 0.95 0.93 0.95 0.98 0.98 0.99 0.84 0.95 0.95 0.94 76.3 64.5 61.2 71.6 68.5 53.5 62.4 65.3 66.1 68.2 78.2 63.9 60.9 55.0 0.85 0.83 0.96 0.97 0.87 0.95 0.81 0.96 0.96 0.95 0.87 0.90 0.95 0.90 53.7 49.4 — 527 — 65.0 — Strok; Vol. 2, SepfemW-Ocfob.r J977 ANALYSIS OF ISOTOPE CLEARANCE CURVES Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 FIGURE 2 Pattern of rCBF as revealed by: (a) Fg, (b) Fw, (c) ~F, (d) H/A10 than by H/A15, so that it approximated closely to the value obtained by F. It seems, therefore, that in normal brain the use of a A. of 1.08 in the calculation of rCBF on the assumption that the Wg:Ww proportion is 60:40 in all areas does not introduce an appreciable error. CORRELATION BETWEEN F AND F(INIT) Correlations between F and F(init) were calculated for the 14 areas as before (table 1) and ranged from 0.97 in area 5 to 0.81 in area 8, which is only minimally less good than the correlation between F and H/A15. The flow as calculated by F(init) was higher in each region than the value obtained by F, giving a mean flow for the whole hemisphere of 65.0 as against 53.7, but again the difference does not reach the level of significance. Finally, correlations between H/A15 and F(init) were calculated and ranged from 0.97 in area 10 to 0.77 in area 3, which is Strok; Vol. 2, Sep»«mber-Octob»r 1971 H/A15. marginally less close than the correlations between F and H/A15 and F and F(init). REGIONAL PATTERNS OF BLOOD FLOW It has been shown previously that blood flow through the hemisphere is not homogeneous but follows a consistent regional pattern.11 Fg is significantly higher at the 0.1% level than mean flow for the hemisphere in areas 2 and 6 (fig. 2) and significantly lower at the same level of significance in areas 15 and 16. Fw is significantly higher in areas 11 and 12 and lower in areas 5 and 10 (p < 0.001). When these patterns were combined in a weighted mean flow, significantly high flow at the 0.1% level in areas 2, 11 and 12 and significantly low flow in area 16 remained; the high Fg in area 6, the low Fg in area 15 and the low Fw in areas 5 and 10 were lost and significantly low flow in areas 7 and 8 not present in either Fg or Fw emerged. Similar patterns were also found for F(init). 11 447 REES, BULL, DU BOULAY, MARSHALL, RUSSELL, SYMON TABLE 2 Correlations Between F, H/Au and F(init) in Ten Cases with Ischemic Lesions Arma Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 1 2 3 4 5 6 7 8 9 10 11 12 13 15 16 % _ Wg T 40 55 65 52 59 63 52 50 74 74 62 53 65 46 42 ' H/A,, 36.0 36.5 33.8 31.6 26.2 31.4 30.3 27.2 34.9 30.3 36.4 29.7 25.5 27.9 25.5 36.0 36.5 35.1 31.5 28.8 29.9 27.1 28.0 32.8 29.3 36.9 33.3 26.0 24.8 24.0 r F(lnlt) r H/Au anri F(Intt) 0.94 0.96 0.89 0.86 0.89 0.98 077 0.67 0.93 0.98 0.87 0.85 0.95 0.89 0.83 38.8 41.4 39.6 37.0 33.4 38.5 31.7 32.1 34.1 38.0 42.0 36.5 30.2 28.2 27.9 0.77 0.92 0.56 0.57 0.55 0.95 075 0.63 075 0.87 0.80 0.50 0.83 0.84 077 0.90 0.97 0.67 0.87 0.89 0.96 0.98 0.82 0.92 0.89 0.94 071 0.84 0.82 0.97 TABLE 3 Areas Showing Abnormal rCBF by Different Methods of Curve Analysis in Patients with TIAs Cat* no. 1 2 3 4 5 6 7 8 Total * I i I 1 1 I 1 1 Fw Wg 7 — 7 7 — — 15 — — 1,15 — Fg F(lntt) H/A u — 12 3 — — 3 — — 3 — — 3 — 10 16 — 11 — — — 10 1,5 12 3 1 6 3 — 10 — — — — — — 11 2 2 significant increase, | significant decrease at 1 in 1,000 level. The regional pattern of flow as calculated by H/A15 was determined in the present study. There was high flow (p < 0.001) in areas 2, 11 and 12 and lowflowin areas 7 and 8. Comparison with F shows the same regional 448 pattern of distribution except that the low flow in area 16 was lost. The same result was obtained with H/A 10. In general, therefore, in "normal" subjects who were normocapnic H/A15 or H/A10 Strokm, Vol. 2, Stptamber-Octobmr 1971 ANALYSIS OF ISOTOPE CLEARANCE CURVES provided a satisfactory method of determining rCBF which compared well with the more complicated estimation of weighted mean flow. The varying proportions of gray and white matter present in different regions of the hemisphere did not appreciably influence the accuracy of the results. CORRELATION BETWEEN H/A15 and 7 IN ABNORMAL CASES Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 Attention was next turned to the problem of whether the assumption of a gray: white proportion of 60:40 adversely affected the analysis of data from patients with focal cerebral ischemia. Data from ten patients with miscellaneous ischemic cerebral lesions in whom two-compartmental analysis had shown disturbance of the normal Wg:Ww ratio due to infarction of gray or white matter were examined. Correlations between rCBF for 15 areas (detector 1 was included in this series) as determined by H/A15 and F were calculated, the results being given in table 2. They ranged from 0.98 in areas 6 and 10 to 0.67 in area 8. Correlation between F and F(init) ranged from 0.95 in area 6 to 0.5 in area 12, which is much less satisfactory. This is probably due to the use of the fixed X gray in the calculation of F(init), clearly inappropriate if any large infarct of gray matter is present. COMPARISON OF FG, FW AND WG WITH H/A15, F and F(INIT) In order to examine further the relationship between the different methods of clearance curve analysis, comparison of these methods was made in individual cases in a series of eight patients who had experienced TIAs. Abnormalities of flow and of gray:white ratio may persist as long as 90 days after a TIA. 20 The data from eight patients of this type were analyzed by the various methods (table 3 ) . All patients had shown some abnormality on twocompartmental analysis, three having disturbance of Fg, one of Fw, and six of Wg. F revealed only three of these abnormalities, F(init) two when Fg was predominantly involved and H/A15 two. The reasons for these discrepancies can best be illustrated by reference to individual cases. Case 5 showed a low Fg and an increased Wg in area 3, indicating nonperfu- TABLE 4 Areas Showing Distvrbance of rCBF by Different Methods of Curve Analysis in Patients with Completed Strokes Cote no. l 2 3 4 5 6 7 Total I ! 1 i 1 1 1 'g Fw 5 17 12 F «lnh) H/An 2,6,10 8,12,13 13 5 8,13 13 11 12 12 12 3,10,14 16 7 10 9 16 4 7 = — 3 10,11 4,9,15 67,10,11,12 12 — — — 10 5 — — — 4 3 10 Prerolandic hypovascular area — Normal 7 7 11 5 6 — 7 MCO prerolandic branch 11 7 — MCO parietal branch MCO prerolandic branch — 11 MCO* distal to striate vessels — 7 10 Angiogram 4 Normal *MCO = Middle cerebral occlusion. | significant increase at 1 in 1,000 level. 4. significant decrease Stroke, Vol. 2, S»pf«mbor-Oc(ofaer 197/ 449 REES, BULL, DU BOULAY, MARSHALL, RUSSELL, SYMON Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 sion predominantly of white matter. F(init) failed to pick this up because, though Fg was low, this was obscured by the increase in the proportion of Wg. In case 3 there was a significant increase in Fw in areas 1 and 15, neither of which was reflected in F or H/A15 because Fw contributes so small a proportion to the flow in an area. A reduced Fw in area 12, significant only at the 1 in 100 level, hence not appearing in the table, appeared in F as significant at the 1 in 1,000 level, as the proportion of white matter in that area is higher than elsewhere; the same feature appeared in case 8. A series of seven patients with completed strokes was also examined in the same way (table 4). The persisting clinical deficit due to more severe ischemia was reflected in the fact that of the seven cases, five showed abnormalities in F(init), six in H/A15, and four in F. Again F(init) reflects most closely changes in Fg, but may on occasion be misleading as in case 7. Here there was no significant alteration in Fg in any area, but F(init) showed an increase in area 7 due to increased Wg from loss of white matter. Discussion Each method of analyzing cerebral isotope clearance curves involves assumptions due to the facts that the proportion of gray and white matter is different in different regions of the brain and that these tissues have different solubility coefficients for 138Xenon and different rates of flow. Methods of analysis which assume only one compartment as do H/A and F(init) and choose an average k or the A of one compartment must introduce a degree of error. The present study has shown that in normal brain the results given by these methods do not differ significantly from those given by F. H/A15 gives a slightly, but not significantly, lower estimate of flow than does F; H/A10 is virtually the same as F. F(init) on the other hand gives a higher estimate than does F, but again this does not reach the level of significance. In pathological circumstances the accord of the various methods of curve analysis was not so high, though here again the lowest correlation coefficient for a region was 0.5. It seems, therefore, that if two-compartmental analysis were being carried out merely to provide a weighted mean flow, it would not 450 be worth the extra work involved. But if ischemic lesions are to be studied, twocompartmental analysis is essential, not to provide a weighted mean flow, but to reveal the flow disturbances occurring separately in gray and white matter and the altered proportions of these tissues in an area due to nonperfusion. The present study has shown that methods of curve analysis which do not distinguish between Fg and Fw frequently miss significant areas of disturbance of flow; more serious is the fact that they may on occasion give misleading information, as when a loss of white matter is represented as an increase in F because of the greater proportion of tissue clearing at the fast rate. F(init) remains valuable as a means of assessing change in flow following the alteration of Pac0o or blood pressure, but does not provide an accurate assessment of the nature of the flow disturbance. The stochastic method, despite its sound mathematical basis, has even less to recommend its use in the assessment of cerebral ischemia. Two-compartmental analysis detects abnormalities in cases of cerebral ischemia more readily than do the other methods of analysis. The pathological basis of these abnormalities—vascular or parenchymatous damage, structural or functional change— has yet to be determined by extensive clinicopathological studies. Preliminary work suggests that the disturbances revealed by twocompartmental analysis are meaningful in pathological terms.21 In light of the experience gained by this study, two-compartmental analysis of clearance curves is clearly essential for a proper understanding of the pathophysiology of ischemic cerebral disease. References 1. 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J Neurol Neurosurg Psychiat 3 2 : 367-378, 1969 Nilsson NJ: Observations on the clearance rate of beta radiation from 8s Krypton dissolved in saline and injected in microliter amounts into the grey and white matter of the brain. Acta Neurol Scand (Suppl 14) 53-57, 1965 Espagno J, Lazorthes Y: Measurement of regional cerebral blood flow in man by local Vol. 2, September-Otfcber 1971 14. 15. 16. 17. 18. 19. 20. 21. injections of 188 Xenon. Acta Neurol Scand (Suppl 14) 58-62, 1965 Glass H I , De Garreta A C : The quantitative limitations of exponential curve fitting. Phys Med Biol 16: 119-130, 1971 Wollman H, Alexander SC, Cohen PJ, et a l : Two-compartment analysis of the blood flow in the human brain. Acta Neurol Scand (Suppl 14) 79-82, 1965 Veall N, Mallett BL: The two-compartment model using issXenon inhalation and external counting. Acta Neurol Scand (Suppl 14) 8384, 1965 Reivich M, Slater R, Sano N: Further studies on exponential models of cerebral clearance curves. In Brock M, Fieschi C, Ingvar DH, et al (eds) : Cerebral Blood Flow, Clinical and Experimental Results. Springer-Verlag, Berlin, p 8-10, 1969 HpSedt-Rasmussen K, Skinh0j E, Paulson O, et al: Regional cerebral blood flow in acute apoplexy. Arch Neurol (Chicago) 17: 271-281, 1967 Lassen NA, Klee A : Cerebral blood flow determined by saturation and desaturation with Krypton-85: An evaluation of the validity of the inert gas method of Kety and Schmidt. Circulation Research 16: 26-32, 1965 Rees JE, Du Boulay GH, Bull JWD, et a l : Regional cerebral blood flow in transient ischaemlc attacks. Lancet 2 : 1210-1213, 1970 Marshall J, Rees JE, Symon L: Correlation between regional cerebral blood flow and anatomico-pathological data. In Bax M (ed) : Cerebral Anoxia. Spastics International Medical Publications/Heinemann Medical Ltd, 1971 451 The Comparative Analysis of Isotope Clearance Curves in Normal and Ischemic Brain J. ESMOND REES, J. W. D. BULL, G. H. DU BOULAY, JOHN MARSHALL, R. W. ROSS RUSSELL and LINDSAY SYMON Stroke. 1971;2:444-451 doi: 10.1161/01.STR.2.5.444 Downloaded from http://stroke.ahajournals.org/ by guest on June 14, 2017 Stroke is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Copyright © 1971 American Heart Association, Inc. All rights reserved. Print ISSN: 0039-2499. Online ISSN: 1524-4628 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://stroke.ahajournals.org/content/2/5/444 Permissions: Requests for permissions to reproduce figures, tables, or portions of articles originally published in Stroke can be obtained via RightsLink, a service of the Copyright Clearance Center, not the Editorial Office. Once the online version of the published article for which permission is being requested is located, click Request Permissions in the middle column of the Web page under Services. 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