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Interexpert agreement between neuroradiologists in the diagnosis of middle cerebral artery stroke by computed tomography

https://doi.org/10.24835/1607-0763-1315

Abstract

Background. To evaluate the diagnostic accuracy of radiologists with a wide range of experience and training in emergency neuroradiology and other specialty hospitals, as well as the level of inter-experts’ agreement regarding CT signs of ischemic stroke.

Material and methods. Our study included a retrospective cohort of 100 patients who underwent NCCT, CT angiography (mCTA) and CT perfusion in St. Petersburg clinical hospital. Fifty patients had confirmed middle cerebral artery ischemic stroke. The study also randomly included fifty patients in whom this diagnosis was excluded, including on the basis of dynamic follow-up as part of further clinical evaluation and follow-up CT scan of the brain. All 100 CT were reviewed by 21 radiologists who independently assessed each study for CT evidence of ischemic stroke. Statistical analysis included the Kappa-Fleiss coefficient ( ) calculation of agreement for each sign of ischemic stroke, specificity, sensitivity, and accuracy of detection of these changes.

Results. The staff radiologist’s mean experience in emergency neuroradiology affects both diagnostic performance and consistency for detection of most CT features of ischemic stroke. At the same time, experience does not affect the diagnostic efficiency of radiologists with no experience in stroke assessment. The most highly specific and reproducible sign of ischemic stroke was the hyperdense middle cerebral artery sign, and the most ambiguous diagnostic sign was the gyral effacement. At the same time, all radiologists, regardless of length of service record and experience in emergency neuroradiology, are prone to over-diagnosis.

Conclusion. Further search for tools and solutions is needed to level out interexpert variability regarding assessment of ischemic CT signs, since this problem has high clinical importance.

About the Authors

P. L. Andropova
St. Petersburg State University; St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation

Polina L. Andropova – radiologist of the X-ray department

7-9, Universitetskaya Embankment, St. Petersburg 199034; 
14, Vavilovykh str., St. Petersburg 195257



P. V. Gavrilov
Saint-Petersburg State Research Institute of Phthisiopulmonology
Russian Federation

Pavel V. Gavrilov – Cand. of Sci. (Med.), leading Researcher, Head of the Department of Radiology 

2-4, Ligovsky prospect, St. Petersburg 191036



I. P. Kazantseva
St. Petersburg City Hospital for the war veterans
Russian Federation

Inga P. Kazantseva – radiologist of the CT department 

21-2, Narodnaya str., St. Petersburg 193079



O. M. Domienko
St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation

Olga M. Domienko – Head of the X-ray department 

14, Vavilovykh str., St. Petersburg 195257



A. N. Narkevich
Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky
Russian Federation

Artem N. Narkevich – Doct. of Sci. (Med.), Associate Professor, Dean of the Faculty of Medicine, Head of the Laboratory of Medical Cybernetics and Management in Healthcare, Head of the Department of Medical Cybernetics and Informatics 

1, Partizan Zheleznyak str., Krasnoyarsk 660022



P. A. Kolesnikova
Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences
Russian Federation

Polina A. Kolesnikova – postgraduate (PhD) student 

4, Kosygina str., Moscow 119334



E. K. Grebenkina
St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation

Elizaveta K. Grebenkina – neurologist of the Regional Vascular Center

14, Vavilovykh str., St. Petersburg 195257



N. V. Tarasov
St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation

Nikolay V. Tarasov – anesthesiologist-resuscitator 

14, Vavilovykh str., St. Petersburg 195257



T. V. Sergeeva
St. Petersburg State University; St. Petersburg City Hospital of the Holy Martyr Elizabeth; St. Petersburg State Pediatric Medical University
Russian Federation

Tatyana V. Sergeeva – Cand. of Sci. (Med.), Deputy Chief Physician for neurology, Head, Regional Vascular Center of the St. Petersburg City Hospital of the Holy Martyr Elizabeth, Associate Professor of the Department of Medical Rehabilitation and Sports Medicine of the St. Petersburg State Pediatric Medical University, Assistant Professor of the Department of Neurosurgery and Neurology of Saint Petersburg State University

7-9, Universitetskaya Embankment, St. Petersburg 199034; 
14, Vavilovykh str., St. Petersburg 195257; 
2, Litovskaya str., St. Petersburg 194100



T. N. Trofimova
St. Petersburg State University
Russian Federation

Tat′yana N. Trofimova – Corresponding Member of the Russian Academy of Sciences, Doct. of Sci. (Med.), Professor, Chief Freelance Specialist in Radiology and Instrumental Diagnostics of the Northwestern Federal District of the Russian Federation and the Committee for Health

7-9, Universitetskaya Embankment, St. Petersburg 199



References

1. Clinical guidelines. Ischemic stroke and transient ischemic attack in adults. 2021 (In Russian)

2. Akbarzadeh M.A., Sanaie S., Kuchaki Rafsanjani M., Hosseini M.-S. Role of imaging in early diagnosis of acute ischemic stroke: a literature review. Egypt J. Neurol. Psychiat. Neurosurg. 2021; 57: 175. https://doi.org/10.1186/s41983-021-00432-y

3. Gács G., Fox A.J., Barnett H.J. et al. CT visualization of intracranial arterial thromboembolism. Stroke. 1983; 14 (5): 756–762. https://doi.org/10.1161/01.str.14.5.756

4. Barber P.A., Demchuk A.M., Hudon M.E. et al. Hyperdense sylvian fissure MCA “dot” sign: A CT marker of acute ischemia. Stroke. 2001; 32 (1): 84–88. https://doi.org/10.1161/01.str.32.1.84

5. Leary M.C., Kidwell C.S., Villablanca J.P. et al. Validation of computed tomographic middle cerebral artery “dot” sign: an angiographic correlation study. Stroke. 2003; 34 (11): 2636–4260. https://doi.org/10.1161/01.STR.0000092123.00938.83

6. Koo C.K., Teasdale E., Muir K.W. What constitutes a true hyperdense middle cerebral artery sign? Cerebrovasc. Dis. 2000; 10 (6): 419–423. https://doi.org/10.1159/000016101

7. Hsu K.C., Kao H.W., Chen S.J. Backward somersault as a cause of childhood stroke: a case report of isolated middle cerebral artery dissection in an adolescent boy. Am. J. Emerg. Med. 2008; 26 (4): 519.e3–5. https://doi.org/10.1016/j.ajem.2007.08.028

8. Jha B., Kothari M. Pearls & oy-sters: hyperdense or pseudohyperdense MCA sign: a Damocles sword? Neurology. 2009; 72 (23): e116–117. https://doi.org/10.1212/WNL.0b013e3181a92b3b

9. Simard J.M., Kent T.A., Chen M. et al. Brain oedema in focal ischaemia: molecular pathophysiology and theoretical implications. Lancet Neurol. 2007; 6 (3): 258–268. https://doi.org/10.1016/S1474-4422(07)70055-8

10. Ho M.L., Rojas R., Eisenberg R.L. Cerebral edema. Am. J. Roentgenol. 2012; 199 (3): W258–273. https://doi.org/10.2214/AJR.11.8081

11. Mainali .S, Wahba M., Elijovich L. Detection of Early Ischemic Changes in Noncontrast CT Head Improved with “Stroke Windows”. ISRN Neurosci. 2014; 2014: 654980. https://doi.org/10.1155/2014/654980

12. Govind A.S., Sukumar S., Dkhar W. Grading of cerebral infarction using CT-Hounsfield unit to report the Hounsfield unit in acute, Subacute and chronic stroke. Int. J. Curr. Res. 2015; 7 (7): 17874–17878.

13. Mokin M., Primiani CT., Ren Z. et al. Endovascular treatment of middle cerebral artery M2 occlusion strokes: Clinical and procedural predictors of outcomes. Neurosurgery. 2017; 81 (5): 795–802. https://doi.org/10.1093/neuros/nyx060

14. Butcher K.S., Lee S.B., Parsons M.W. et al. Differential prognosis of isolated cortical swelling and hypoattenuation on CT in acute stroke. Stroke. 2007; 38 (3): 941–947. https://doi.org/10.1161/01.STR.0000258099.69995.b6

15. Haussen D.C., Lima A., Frankel M. et al. Sulcal effacement with preserved gray-white junction: a sign of reversible ischemia. Stroke. 2015; 46 (6): 1704–1706. https://doi.org/10.1161/STROKEAHA.115.009304

16. Lev M.H., Farkas J., Gemmete J.J. et al. Acute stroke: improved nonenhanced CT detection--benefits of soft-copy interpretation by using variable window width and center level settings. Radiology. 1999; 213 (1): 150–155. https://doi.org/10.1148/radiology.213.1.r99oc10150

17. Kobkitsuksakul C., Tritanon O., Suraratdecha V. Inter-observer agreement between senior radiology resident, neuroradiology fellow, and experienced neuroradiologist in the rating of Alberta Stroke Program Early Computed Tomography Score (ASPECTS). Diagn. Interv. Radiol. 2018; 24 (2): 104–107. https://doi.org/10.5152/dir.2018.17336

18. Kumar R., Indrayan A. Receiver operating characteristic (ROC) curve for medical researchers. Indian Pediatr. 2011; 48 (4): 277–287. https://doi.org/10.1007/s13312-011-0055-4

19. Hallgren K.A. Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutor Quant. Methods Psychol. 2012; 8 (1): 23–34. https://doi.org/10.20982/tqmp.08.1.p023

20. Farzin B., Fahed R., Guilbert F. et al. Early CT changes in patients admitted for thrombectomy: Intrarater and interrater agreement. Neurology. 2016; 87 (3): 249–256. https://doi.org/10.1212/WNL.0000000000002860

21. Gupta A.C., Schaefer P.W., Chaudhry Z.A. et al. Inter-observer reliability of baseline noncontrast CT Alberta Stroke Program Early CT Score for intra-arterial stroke treatment selection. Am. J. Neuroradiol. 2012; 33 (6): 1046–1049. https://doi.org/10.3174/ajnr.A2942

22. Wardlaw J.M., Mielke O. Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment-systematic review. Radiology. 2005; 235 (2): 444–453. https://doi.org/10.1148/radiol.2352040262

23. Dippel D.W., Du Ry van Beest Holle M., van Kooten F. et al. The validity and reliability of signs of early infarction on CT in acute ischaemic stroke. Neuroradiology. 2000; 42 (9): 629–633. https://doi.org/10.1007/s002340000369

24. Grotta J.C., Chiu D., Lu M. et al. Agreement and variability in the interpretation of early CT changes in stroke patients qualifying for intravenous rtPA therapy. Stroke. 1999; 30 (8): 1528–1533. https://doi.org/10.1161/01.str.30.8.1528

25. Andropova P.L., Gavrilov P.V., Kazantseva I.P., Kochanova N.I., Narkevich A.N., Trofimova T.N. Interexpert Agreement Between Emergency Neuroradiologists with Different Levels of Experience in the Rating of ASPECTS. Radiology-Practice. 2022; 5: 10–25. https://doi.org/10.52560/2713-0118-2022-5-10-25 (In Russian)


Review

For citations:


Andropova P.L., Gavrilov P.V., Kazantseva I.P., Domienko O.M., Narkevich A.N., Kolesnikova P.A., Grebenkina E.K., Tarasov N.V., Sergeeva T.V., Trofimova T.N. Interexpert agreement between neuroradiologists in the diagnosis of middle cerebral artery stroke by computed tomography. Medical Visualization. 2023;27(4):159-169. (In Russ.) https://doi.org/10.24835/1607-0763-1315

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