ISPUB.com / IJN/21/2/54934
  • Author/Editor Login
  • Registration
  • Facebook
  • Google Plus

ISPUB.com

Internet
Scientific
Publications

  • Home
  • Journals
  • Latest Articles
  • Disclaimers
  • Article Submissions
  • Contact
  • Help
  • The Internet Journal of Neurology
  • Volume 21
  • Number 2

Original Article

Role of Alberta Stroke Program Early CT-scan (ASPECT) Score On Acute Ischemic Stroke

L Amalia

Keywords

aspects, ct scan, ischemic stroke

Citation

L Amalia. Role of Alberta Stroke Program Early CT-scan (ASPECT) Score On Acute Ischemic Stroke. The Internet Journal of Neurology. 2020 Volume 21 Number 2.

DOI: 10.5580/IJN.54934

Abstract

The Alberta Stroke Early Computed Tomography Score (ASPECTS) program was developed as a systematic, easy-to-do and reliable method of assessing the extent of ischemic lesions on CT scans without contrast in patients with acute ischemic stroke in the media cerebral arteries. ASPECTS is calculated by looking at the number and extent of ischemic lesions found in the cerebral artery vascular territories, namely the basal ganglia and most brain hemispheres. CT-scan assessment using this ASPECTS has good interpretation in common among neurologists, radiology trainees and neuroradiology specialist. ASPECTS can be used to determine the severity of stroke indirectly based on the area of ​​ischemic lesions found on CT-scan images.

 

Introduction

Computed-tomography scanning (CT-scan) is one of the brain imaging modalities for establishing a diagnosis of ischemic stroke and bleeding stroke, so that it can be a reference for subsequent stroke management. CT scans are easy to do and can be found all over Indonesia, making CT scans as a mainstay diagnostic tool in diagnosing a stroke. The ability of CT-scan to get rid of bleeding lesions quickly allows thrombolysis to be done in acute ischemic stroke3,4,  but in diagnosing a hyperacute ischemic stroke (stroke with onset of less than 3 hours), CT-scan can only find hypodensity in the brain parenchyma in 31-53% of cases.5,6 The extent of ischemic lesions is important to know because extensive ischemic lesions are at risk of bleeding after thrombolysis.3,4

The Alberta Stroke Early Computed Tomography Score (ASPECTS) program was developed as a systematic, easy-to-do and reliable method of assessing the extent of ischemic lesions on CT scans without contrast in patients with acute ischemic stroke in the media cerebral arteries. ASPECTS is calculated by looking at the number and extent of ischemic lesions found in the cerebral artery vascular territories, namely the basal ganglia and most brain hemispheres.5,7,8 CT-scan assessment using this ASPECTS has good interpretation in common among neurologists, radiology trainees and neuroradiology specialist.9

ASPECTS can be used to determine the severity of stroke indirectly based on the area of ​​ischemic lesions found on CT-scan images.7

Alberta Stroke Early CT-scan Program (ASPECTS)

Barber et al proposed the Alberta Stroke Early CT-scan Program (ASPECT) in 2000 as a method to replace the rules of one-third of the MCA area for assessing early ischemic changes. ASPECTS is a simple, reliable and systematic method for assessing ischemic initial changes in CT-scan images without contrast. ASPECTS is devoted to assessing the area of ​​ischemic lesions in the area of ​​the media cerebral artery.7,34,38

ASPECT scores consist of 10 points, each of which represents the anatomical area of ​​the brain. 4 points for subcortical structures, namely caudate nucleus (C), lentiform (L,) internal capsule (IC), and insular ribbon (I), and 6 points for cortical structure in the territory of the media cerebral artery. Cortical points (M1-M6) are divided into 2 areas, namely the ganglion area and the supraganglion area. The boundary of these two areas is the head of the caudate nucleus. All ischemic lesions that are as high or below the head of the caudate nucleus are counted as ganglion areas, and above the head of the caudate nucleus are counted as supraganglion areas (Figure 1) .7,13,34,38

The initial ischemic change to ASPECTS is defined as follows:
(1). Parenchymal hypodensity, which is the loss of a firm boundary between the cortex and subcortex or lower brain parenchymal density relative to the same structure in the contralateral hemisphere,
(2). Focal swelling without parenchymal hypodensity on CT-scan images without contrast is not calculated in ASPECTS.9,38

Figure 1

ASPECTS is calculated by subtracting one point from a total of 10 initial points if evidence of initial ischemic change is found. A score of 10 on the ASPECT represents a normal CT-scan result marked by a picture of an intact brain parenchyma in the area of ​​vascularity of the cerebral artery media, and a score of 0 depicts global ischemia in all areas of the media of cerebral arteries. To be able to see all areas of ASPECTS, axial pieces of the entire brain are needed with a thickness of 4-5 mm, and the initial ischemic sign changes must be seen on 2 sequential CT-scan pieces to ensure that the lesions are ischemic lesions, not artifacts. Accuracy is needed in comparing the right and left hemispheres, especially if the patient is not well positioned when a CT scan is performed. Tilted head, motion artifacts and bone artifacts are common causes of false-negative assessment in ASPECTS. The ASPECTS assessment form as shown in Figure 2.8,34,38

Figure 2

Two cases for example the use of ASPECTS in ischemic stroke patients with blockages in the M1 and M2 segments are as follows:
(1). Figure 3A shows hypodensity in the cerebral artery branch of the "dot sign" media in the right Sylvii fissure (white arrow). Figure 3B shows the parenchymal hypodensity in the ASPECTS M2 and M3 (white triangle) territories so that the ASPECTS value on this CT scan is 8.34

Figure 3

 (2)  The second example is the case of a 44-year-old woman with complaints of left hemiparesis. Head CT scan without initial contrast shows hypodensity in the right lentiform nucleus and right caudate nucleus, internal capsule and insula (ASPECTS L, C, CI and I territories), so the ASPECTS value in this patient is 6 (Figure 4A). Figure 4B is a follow-up CT scan of the same patient, and shows an ischemic lesion in the same place.

Figure 4


The advantage of ASPECTS over its predecessor method, the one-third rule, is that ASPECTS has better inter-observer similarities between experienced neurologists, radiologists and neuroradiologists. The use of ASPECTS is only limited to ischemic strokes that occur in the area of ​​the media cerebral arteries, but even so, ischemic strokes are twice as common in the area of ​​the media as other cerebral arteries.9,38,39

The role of ASPECTS in acute ischemic stroke

1. ASPECTS helps in making clinical decisions
The results of the National Institute of Neurological Disorders and Stroke (NINDS) rT-PA Stroke Study mention that CT-scan imaging is used as a screening tool to rule out intracranial hemorrhage before administration of recombinant tissue plasminogen activator (rt-PA) and in that study the extent of initial ischemic change does not affect patient eligibility.3,40
The European Cooperative Acute Stroke Study (ECASS-1) is the first to emphasize the importance of assessing early ischemic changes in the CT picture of acute ischemic stroke as an external predictor of intravenous thrombolysis therapy, where extensive ischemic lesions have a high risk for post-therapy bleeding. thrombolysis. The ECASS study at that time introduced a one-third rule, as a crude screening tool prior to thrombolysis therapy. One-third rule states that patients with ischemic lesions that cover more than one-third of the area of ​​cerebral artery media are at high risk of bleeding after thrombolysis therapy. The use of this one-third rule of MCA area proved difficult to apply even by experienced neurologists or radiologists and had a similar perception among poor observers, and therefore a systematic method of assessing the extent of initial ischemic change in acute stroke is needed.7,8,34,38

a.The ability of ASPECTS to predict patient responses to intravenous thrombolysis therapy using recombinant tissue plasminogen activator (rt-PA) was investigated by Demchuk et al in 2005, by applying ASPECTS to the initial CT scan of the NINDS rtPA Stroke Study subject. Demchuk et al mentioned that patients with high ASPECTS (8-10) had greater benefits from thrombolysis therapy (19.5% risk benefit and number-needed-to-treat (NNT) = 5) and also had a lower risk of mortality. Patients with an ASPECT score of 3-7 will also benefit from thrombolysis therapy (13.3% risk benefit and NNT = 8) and also with a low risk of mortality. Only patients with ASPECTS 0-2 did not benefit from thrombolysis therapy, but only 2.6% of the NINDS rtPA Stroke Study subjects had ASPECT 0-2 so that this group had limited clinical relevance. The ability of ASPECTS to predict post-thrombolysis outcomes has a sensitivity of 78% and specificity of 96%.38,41


b.ASPECTS can also predict the incidence of bleeding after thrombolysis therapy. The original study from ASPECTS found a 14-fold increased risk of bleeding in subjects with ASPECTS <7 compared to subjects with ASPECTS> 7, with a sensitivity of 90% and specificity of 62%. A second study by the NINDS-stroke trial found that patients with ASPECTS> 7 and 3-7 had almost the same risk of post-thrombolysis bleeding, 4.5% and 5%. Patients with extensive infarction (ASPECTS 0-2) have an increased risk of bleeding up to 20% .7,34

c.The role of ASPECTS in determining clinical decisions varies based on the time of stroke onset. ASPECTS is not used as a filter in the administration of intravenous thrombolysis therapy in patients with onset of stroke infarction under 3 hours, but patients with ASPECT 0-3 may not benefit from thrombolysis therapy and have a high risk of post-thrombolysis bleeding. Patients with ASPECTS 0-3 are likely to get worse due to extensive cerebral infarction so that they can be used as a basis for offering early hemicraniectomy.7,34,38
 

2.ASPECTS as Predictors of Ischemic Stroke Clinical Outcomes
                  ASPECTS can be used to predict the prognosis of a stroke infarction, and this has been proven in the Canadian Alteplase for Stroke Effectiveness Study (CASES) in Canada with 936 stroke patients. The CASES study states that ASPECTS on the initial CT scan is a good predictor of functional outcomes from stroke infarction, whereas low ASPECTS indicates a low likelihood of patients to have good functional outcomes. Further analysis shows that with ASPECTS 6-10, around 50% of patients can live functionally independent, and patients with ASPECTS 0-3, the probability of independent living is very low.4,38
                  ASPECTS can also be applied to predict the prognosis of intra-arterial thrombolysis therapy using pro-urokinase. Hill et al. Re-evaluated CT scans of the study subjects Prourokinase Acute Cerebral Infarct Tial-II (PROACT-II) and mentioned that patients who received intra-arterial thrombolysis therapy who had ASPECTS> 7 had better clinical outcomes compared to patients with ASPECT <7.38,42
                  The onset of stroke infarction does not affect the reliability of ASPECTS as has been investigated by Huisa et al in 2010, which compared the ability of ASPECT to predict outcome of stroke infarction based on modified Rankin Scale (mRS) in patients with stroke onset under 4 hours and unknown stroke onset, with the example of a patient who is known to have a stroke when he wakes up. Huisa said that there were no significant differences from ASPECTS in the two groups when correlated with mRS. The application of ASPECTS in patients with onset of stroke for more than 6 hours has also been investigated by Goyal et al in 2011, showing that stroke patients with ASPECTS> 7 have good outcomes, although thrombectomy is done at 6 hours more than stroke onset.43,44
 

Conclusion

ASPECTS is a simple, reliable and systematic method for assessing ischemic initial changes in CT-scan images without contrast. ASPECTS is devoted to assessing the extent of ischemic lesions in the area of ​​the cerebral artery media. ASPECTS on the initial CT scan is a good predictor of functional outcome from stroke infarction, where a low ASPECTS indicates a low likelihood of patients to have good functional outcomes.

References

1. Alfa AY. Penatalaksanaan Stroke Fase Akut. In: Basuki A, Dian S, editors. Neurology in Daily Practice. 1 ed. Bandung: Bagian/UPF Ilmu Penyakit Saraf Fakultas Kedokteran UNPAD/RS. Hasan Sadikin; 2010. p. 67-84.
2. Aikawa M, Libby P. The vulnerable atherosclerotic plaque. Cardiovascular Pathology. 2004;13(3):125-38.
3. Hacke W, Donnan G, Fieschi C, Kaste M, von Kummer R, Broderick JP, et al. Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials. Lancet (London, England). 2004;363(9411):768-74.
4. Hill MD, Buchan AM. Thrombolysis for acute ischemic stroke: results of the Canadian Alteplase for Stroke Effectiveness Study. Canadian Medical Association Journal. 2005;172(10):1307-12.
5. González RG, Schwamm LH. Imaging acute ischemic stroke. In: Masdeu JC, González RG, editors. Handbook of Clinical Neurology. 135: Elsevier; 2016. p. 293-315.
6. Lövblad K-O, Altrichter S, Mendes Pereira V, Vargas M, Marcos Gonzalez A, Haller S, et al. Imaging of acute stroke: CT and/or MRI. J Neuroradiol. 2015;42(1):55-64.
7. Schröder J, Thomalla G. A Critical Review of Alberta Stroke Program Early CT Score for Evaluation of Acute Stroke Imaging. Frontiers in Neurology. 2016;7:245.
8. Pexman JHW, Barber PA, Hill MD, Sevick RJ, Demchuk AM, Hudon ME, et al. Use of the Alberta Stroke Program Early CT Score (ASPECTS) for Assessing CT Scans in Patients with Acute Stroke. AJNR Am J Neuroradiology. 2001;22(September 2001):1534–42.
9. Barber PA, Demchuk AM, Zhang J, Buchan AM. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. The Lancet. 2000;355(9216):1670-4.
10. Misbach J. Stroke, Aspek Diagnostik, Patofisiologi, Manajemen. PERDOSSI KSS, editor. Jakarta: Balai Penerbit FKUI; 2011.
11. Lyden P. Using the National Institutes of Health Stroke Scale. 2017;48(2):513-9.
12. Lichtman JH, Leifheit-Limson EC, Jones SB, Watanabe E, Bernheim SM, Phipps MS, et al. Predictors of Hospital Readmission after Stroke: A Systematic Review. Stroke; a journal of cerebral circulation. 2010;41(11):2525-33.
13. Ropper AH, Samuels MA, Klein J. Adams and Victor's Principles of Neurology 10th Edition. 10th ed. New York: McGraw-Hill Education; 2014.
14. Tortora GJ, Derrickson BH. Principles of Anatomy and Physiology. 12th ed. Hoboken: John Wiley & Sons, Inc; 2008.
15. Osborn AG, Hedlund GL, Salzman KL. Osborn's Brain: Imaging, Pathology, and Anatomy. 2nd ed. Philadelphia: Elsevier; 2017.
16. Jacobson S, Marcus EM, Pugsley S. Neuroanatomy for the Neuroscientist. 3rd ed. Cham, Switzerland: Springer International Publishing; 2017.
17. Conditions NCCfC, London RCoPo. Stroke: National Clinical Guideline for Diagnosis and Initial Management of Acute Stroke and Transient Ischaemic Attack (TIA). London: Royal College of Physicians; 2008.
18. Boehme AK, Esenwa C, Elkind MSV. Stroke Risk Factors, Genetics, and Prevention. 2017;120(3):472-95.
19. Misbach J, Ali W. Stroke in Indonesia: A first large prospective hospital-based study of acute stroke in 28 hospitals in Indonesia. Journal of Clinical Neuroscience. 2000;8(3):245-9.
20. Riset Kesehatan Dasar RISKESDAS 2013. In: RI BPdPKKK, editor. Jakarta2013.
21. Caplan LR. Caplan's Stroke A Clinical Approach. 4th ed. Philadelphia, PA: Saunders Elsevier; 2009.
22. del Zoppo GJ. Vascular Hemostasis and Brain Embolism. In: Caplan LR, Manning WJ, editors. Brain Embolism. New York: Informa Healthcare Inc.; 2006. p. 243-58.
23. Campbell BCV, Purushotham A, Christensen S, Desmond PM, Nagakane Y, Parsons MW, et al. The infarct core is well represented by the acute diffusion lesion: sustained reversal is infrequent. Journal of Cerebral Blood Flow & Metabolism. 2012;32(1):50-6.
24. Endres M, Dirnagl U, Moskowitz MA. The ischemic cascade and mediators of ischemic injury. Handbook of Clinical Neurology. 92: Elsevier; 2008. p. 31-41.
25. Xing C, Arai K, Lo EH, Hommel M. Pathophysiologic cascades in ischemic stroke. International journal of stroke : official journal of the International Stroke Society. 2012;7(5):378-85.
26. Deb P, Sharma S, Hassan KM. Pathophysiologic mechanisms of acute ischemic stroke: An overview with emphasis on therapeutic significance beyond thrombolysis. Pathophysiology. 2010;17(3):197-218.
27. Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993;24(1):35-41.
28. Adams HP, Biller J. Classification of Subtypes of Ischemic Stroke. History of the Trial of Org 10 172 in Acute Stroke Treatment Classification. 2015;46(5):e114-e7.
29. Hart RG, Diener H-C, Coutts SB, Easton JD, Granger CB, O'Donnell MJ, et al. Embolic strokes of undetermined source: the case for a new clinical construct. The Lancet Neurology. 2014;13(4):429-38.
30. Hopyan J, Ciarallo A, Dowlatshahi D, Howard P, John V, Yeung R, et al. Certainty of Stroke Diagnosis: Incremental Benefit with CT Perfusion over Noncontrast CT and CT Angiography. Radiology. 2010;255(1):142-53.
31. Norrving B. Oxford Textbook of Stroke and Cerebrovascular Disease. 1 ed. Kennard C, editor. New York: Oxford University Press; 2014.
32. Latchaw RE, Alberts MJ, Lev MH, Connors JJ, Harbaugh RE, Higashida RT, et al. Recommendations for Imaging of Acute Ischemic Stroke. A Scientific Statement From the American Heart Association. 2009;40(11):3646-78.
33. González RG. Current State of Acute Stroke Imaging. Stroke. 2013;44(11):3260-4.
34. González RG, Copen WA, Schaefer PW, Lev MH, Pomerantz SR, Rapalino O, et al. The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach. Journal of NeuroInterventional Surgery. 2013;5(suppl 1):i7-i12.
35. Mair G, Wardlaw JM. Imaging of acute stroke prior to treatment: current practice and evolving techniques. The British Journal of Radiology. 2014;87(1040):20140216.
36. Menon BK, Puetz V, Kochar P, Demchuk AM. ASPECTS and Other Neuroimaging Scores in the Triage and Prediction of Outcome in Acute Stroke Patients. Neuroimaging Clinics of North America. 2011;21(2):407-23.
37. González RG, Hirsch JA, Lev MH, Schaefer PW, Schwamm LH. Acute Ischemic Stroke: Imaging and Intervention. NewYork: Springer Berlin Heidelberg; 2010.
38. Koo CK, Teasdale E, Muir KW. What Constitutes a True Hyperdense Middle Cerebral Artery Sign? Cerebrovascular Diseases. 2000;10(6):419-23.
39. Mair G, Boyd EV, Chappell FM, von Kummer R, Lindley RI, Sandercock P, et al. Sensitivity and Specificity of the Hyperdense Artery Sign for Arterial Obstruction in Acute Ischemic Stroke. Stroke. 2015;46(1):102-7.
40. Puetz V, Dzialowski I, Hill MD, Demchuk AM. The Alberta Stroke Program Early CT Score in Clinical Practice: What have We Learned? International Journal of Stroke. 2009;4(5):354-64.
41. Ng YS, Stein J, Ning M, Black-Schaffer RM. Comparison of Clinical Characteristics and Functional Outcomes of Ischemic Stroke in Different Vascular Territories. Stroke. 2007;38(8):2309-14.
42. Disorders TNIoN, Group Sr-PSS. Tissue Plasminogen Activator for Acute Ischemic Stroke. New England Journal of Medicine. 1995;333(24):1581-8.
43. Demchuk AM, Hill MD, Barber PA, Silver B, Patel SC, Levine SR. Importance of Early Ischemic Computed Tomography Changes Using ASPECTS in NINDS rtPA Stroke Study. Stroke. 2005;36(10):2110-5.
44. Hill MD, Rowley HA, Adler F, Eliasziw M, Furlan A, Higashida RT, et al. Selection of Acute Ischemic Stroke Patients for Intra-Arterial Thrombolysis With Pro-Urokinase by Using ASPECTS. Stroke. 2003;34(8):1925-31.
45. Goyal M, Menon BK, Coutts SB, Hill MD, Demchuk AM. Effect of Baseline CT Scan Appearance and Time to Recanalization on Clinical Outcomes in Endovascular Thrombectomy of Acute Ischemic Strokes. Stroke. 2011;42(1):93-7.
46. Huisa BN, Raman R, Ernstrom K, Tafreshi G, Stemer A, Meyer BC, et al. ASPECTS in patients with wake up Stroke. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 2010;19(6):475-9.
47. Lyden PD, Lu M, Levine SR, Brott TG, Broderick J. A Modified National Institutes of Health Stroke Scale for Use in Stroke Clinical Trials. Preliminary Reliability and Validity. 2001;32(6):1310-7.
48. Okubo PCMI, Fábio SRC, Domenis DR, Takayanagui OM. Using the National Institute of Health Stroke Scale to Predict Dysphagia in Acute Ischemic Stroke. Cerebrovascular Diseases. 2012;33(6):501-7.
49. Gray LJ, Ali M, Lyden PD, Bath PMW. Interconversion of the National Institutes of Health Stroke Scale and Scandinavian Stroke Scale in Acute Stroke. Journal of Stroke and Cerebrovascular Diseases. 2009;18(6):466-8.
50. Meschia JF, Bushnell C, Boden-Albala B, Braun LT, Bravata DM, Chaturvedi S, et al. Guidelines for the Primary Prevention of Stroke. A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association. 2014;45(12):3754-832.
51. Mansour OY, Megahed MM, Abd Elghany EHS. Acute ischemic stroke prognostication, comparison between Glasgow Coma Score, NIHS Scale and Full Outline of UnResponsiveness Score in intensive care unit. Alexandria Journal of Medicine. 2015;51(3):247-53.
52. Dahlan MS. Statistik untuk Kedokteran dan Kesehatan. 5 ed. Jakarta: Salemba Medika; 2010.
53. Sastroasmoro S. Dasar-dasar Metodologi Penelitian Klinis. 4 ed. Jakarta: Sagung Seto; 2011.
54. Riwidikdo H. Statistik Kesehatan. Yogyakarta: Mitra Cendikia Press; 2012.
55. Field A. Discovering Statistics Using IBM SPSS Statistics: SAGE Publications; 2013.
56. Kim BJ, Kim JS. Ischemic stroke subtype classification: an asian viewpoint. Journal of stroke. 2014;16(1):8-17.
57. Horie N, Tateishi Y, Morikawa M, Morofuji Y, Hayashi K, Izumo T, et al. Acute stroke with major intracranial vessel occlusion: Characteristics of cardioembolism and atherosclerosis-related in situ stenosis/occlusion. Journal of Clinical Neuroscience. 2016;32:24-9.
58. Arboix A, Alió J. Cardioembolic stroke: clinical features, specific cardiac disorders and prognosis. Current cardiology reviews. 2010;6(3):150-61.
59. Glymour MM, Berkman LF, Ertel KA, Fay ME, Glass TA, Furie KL. Lesion Characteristics, NIH Stroke Scale, and Functional Recovery After Stroke. American Journal of Physical Medicine & Rehabilitation. 2007;86(9):725-33.
60. Chung JW, Park SH, Kim N, Kim WJ, Park JH, Ko Y, et al. Trial of ORG 10172 in Acute Stroke Treatment (TOAST) Classification and Vascular Territory of Ischemic Stroke Lesions Diagnosed by Diffusion‐Weighted Imaging. 2014;3(4):e001119.
61. Heldner MR, Zubler C, Mattle HP, Schroth G, Weck A, Mono M-L, et al. National Institutes of Health Stroke Scale Score and Vessel Occlusion in 2152 Patients With Acute Ischemic Stroke. 2013;44(4):1153-7.

Author Information

Lisda Amalia
Cerebrovascular Subdivision, Neurology Department, Medical Faculty, Universitas Padjadjaran
Bandung, Indonesia
dr.lisda@gmail.com

Download PDF

Your free access to ISPUB is funded by the following advertisements:

 

BACK TO TOP
  • Facebook
  • Google Plus

© 2013 Internet Scientific Publications, LLC. All rights reserved.    UBM Medica Network Privacy Policy