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Research ArticleAdult Brain

Thin-Section MR Imaging for Carotid Cavernous Fistula

D. Kim, Y.J. Choi, Y. Song, S.R. Chung, J.H. Baek and J.H. Lee
American Journal of Neuroradiology September 2020, 41 (9) 1599-1605; DOI: https://doi.org/10.3174/ajnr.A6757
D. Kim
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
bDepartment of Radiology, Busan Paik Hospital (D.K.), Inje University College of Medicine, 75, Bokji-ro, Busanjin-gu, Busan, 47392, Republic of Korea
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Y.J. Choi
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
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Y. Song
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
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S.R. Chung
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
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J.H. Baek
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
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J.H. Lee
aDepartment of Radiology and Research Institute of Radiology, Asan Medical Center (D.K., Y.J.C., Y.S., S.R.C., J.H.B., J.H.L.), University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
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  • FIG 1.
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    FIG 1.

    Flow diagram of the case selection procedure and case numbers in each subgroup.

  • FIG 2.
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    FIG 2.

    A CCF case with abnormal contour of the cavernous sinus. Coronal T2-weighted image of a patient with diplopia, confirmed to be left sixth cranial nerve palsy on neurologic examination. Note the abnormal contour bulging of the left cavernous sinus (arrow). An internal signal void was also noted on both T2-weighted (arrow) and T1-weighted imaging (not shown). The patient was confirmed as having a direct CCF on digital subtraction angiography.

  • FIG 3.
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    FIG 3.

    A CCF case with internal signal void of the cavernous sinuses. Coronal T1-weighted image of a patient with diplopia, confirmed to be right third cranial nerve palsy on neurologic examination. Note the internal signal void in both cavernous sinuses visible on T1-weighted image (arrows). The patient was confirmed to have an indirect CCF on digital subtraction angiography.

  • FIG 4.
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    FIG 4.

    A CCF case with prominent venous drainage flow in the anterior and lateral venous structures. Axial contrast-enhanced T1-weighted image of a patient with right ocular pain and conjunctival injection. Note the enlarged right superior ophthalmic vein (anterior; arrow) and right sphenoparietal sinus (lateral; arrowhead). The patient was confirmed as having an indirect CCF on digital subtraction angiography.

  • FIG 5.
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    FIG 5.

    A CCF case with prominent venous drainage flow in the posterior venous structure. Axial contrast-enhanced T1-weighted image of a patient with diplopia, confirmed to be right sixth cranial nerve palsy on neurologic examination. Note the enlarged right inferior petrosal sinus (posterior) with an internal signal void (arrow) indicating increased flow rate. The patient was confirmed as having an indirect CCF on digital subtraction angiography.

  • FIG 6.
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    FIG 6.

    A CCF case with high signal change and orbital soft tissue thickening. Coronal T2-weighted image of a patient with periorbital swelling, conjunctival injection, ocular pain, and diplopia. Fat stranding and swelling of extraocular muscles (arrow) are noted. Prominent venous drainage flow in the superior ophthalmic vein is also noted (arrowhead). The patient was confirmed as having an indirect CCF on digital subtraction angiography.

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    Table 1:

    Clinical characteristics of the study patients

    All Patients(n = 98)CCF Positive Patients (n = 38)CCF Negative Patients (n = 60)
    Sex, n
        Male/Female32/6611/2721/39
    Age, years
        Mean (range)54.6 (20–85)66.0 (24–85)51.4 (20–81)
    Symptoms, n (%)
        Diplopia54 (55.1)20 (52.6)34 (56.7)
        Eyeball pain27 (27.6)14 (36.8)13 (21.7)
        Facial pain2 (2.0)1 (2.6)1 (1.7)
        Ptosis30 (30.6)8 (21.1)22 (36.7)
        Proptosis14 (14.3)9 (23.7)5 (8.3)
        Periorbital swelling19 (19.4)16 (42.1)3 (5)
        Conjunctival injection23 (23.5)16 (42.1)7 (11.7)
        Visual disturbance18 (18.4)7 (18.4)11 (18.3)
        Headache40 (40.8)14 (36.8)26 (43.3)
        Dizziness13 (13.3)5 (13.2)8 (13.3)
    Neurologic signs, n (%)Laterality
            Right30 (30.6)8 (21.1)22 (36.7)
            Left22 (22.4)6 (15.8)16 (26.7)
        3rd cranial neve palsy26 (26.5)4 (10.5)22 (36.7)
        4th cranial nerve palsy5 (5.1)2 (5.3)3 (5)
        6th cranial nerve palsy22 (22.4)8 (21.1)14 (23.3)
    Trauma history, n (%)5 (5.1)3 (7.9)2 (3.3)
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    Table 2:

    Logistic regression of thin-section MR imaging predictors for CCF

    FeatureTotalCCF CasesUnivariable Logistic Regression
    OR (95% CI)P Value
    Abnormal contour of cavernous sinus57.1% (56/98)92.1% (35/38)21.7 (6.0–78.9)<.001
    Signal void of cavernous sinus73.5% (72/98)92.1% (35/38)15.3 (4.2–55.1)<.001
    Prominent venous drainage flowa52.0% (51/98)94.7% (36/38)54.0 (11.6–251.7)<.001
        Anterior36.7% (36/98)78.9% (30/38)33.8 (10.7–106.5)<.001
        Lateral22.4% (22/98)34.2% (13/38)3.0 (1.1–7.8).030
        Posterior23.5% (23/98)47.4% (18/38)9.9 (3.3–30.2)<.001
    Orbital/periorbital soft tissue swelling39.8% (39/98)84.2% (32/38)40.4 (12.5–130.8)<.001
    • ↵a Prominent venous drainage flow indicates the presence of prominent venous drainage flow in at least 1 of the anterior, lateral, and posterior prominent venous drainage flows.

    • View popup
    Table 3:

    Diagnostic performance of each thin-section MR imaging feature and combination of imaging features for CCFa

    AccuracySensitivitySpecificityPLRNLR
    Abnormal contour of cavernous sinus75.5% (65.8–83.6%)92.1% (78.6–98.3)65% (51.6–76.9)2.6 (1.8–3.8)0.1 (0.0–0.4)
    Signal void of cavernous sinus70.4% (60.7–78.5%)92.1% (79.2–97.3)56.7% (44.1–68.4)2.1 (1.6–2.9)0.1 (0.0–0.4)
    Any prominent venous drainage flow82.7% (74.0–88.9)94.7% (82.7–98.5)75% (62.8–84.2)3.8 (2.4–5.9)0.1 (0.0–0.3)
    Prominent anterior venous drainage flow85.7% (77.4–91.3)79.0% (63.7–88.9)90% (79.9–95.3)7.9 (3.6–7.2)0.2 (0.1–0.4)
    Prominent lateral venous drainage flow65.3% (55.0–74.6)34.2% (19.6–51.2)85% (73.4–92.9)2.3 (1.1–4.8)0.8 (0.6–1.0)
    Prominent posterior venous drainage flow74.5% (64.7–82.8)47.4% (31.0–64.2)91.7% (81.6–97.2)5.7 (2.3–14.0)0.6 (0.4–0.8)
    Orbital/periorbital soft tissue swelling86.7% (78.6–92.1)84.2% (69.6–92.6)88.3% (77.8–94.2)7.2 (3.6–14.7)0.2 (0.1–0.4)
    Combination 1 (any prominent venous drainage flow AND internal signal void of cavernous sinus)91.8% (84.7–95.8)89.5% (75.9–95.8)93.3% (84.1–97.4)13.4 (5.2–34.8)0.1 (0.0–0.3)
    Combination 2 (any prominent venous drainage flow AND orbital/periorbital soft tissue swelling)89.8% (82.2–94.4)79.0% (63.7–88.9)96.7% (88.6–99.1)23.7 (6.0–93.4)0.2 (0.1–0.4)
    Combination 3 (prominent anterior venous drainage flow OR orbital/periorbital soft tissue swelling)85.7% (77.4–91.3)92.1% (79.2–97.3)81.7% (70.1–89.4)5.0 (2.9–8.6)0.1 (0.0–0.3)
    • Note:—PLR indicates positive likelihood ratio; NLR, negative likelihood ratio.

    • ↵a Data in parentheses are 95% confidence intervals.

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D. Kim, Y.J. Choi, Y. Song, S.R. Chung, J.H. Baek, J.H. Lee
Thin-Section MR Imaging for Carotid Cavernous Fistula
American Journal of Neuroradiology Sep 2020, 41 (9) 1599-1605; DOI: 10.3174/ajnr.A6757

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Thin-Section MR Imaging for Carotid Cavernous Fistula
D. Kim, Y.J. Choi, Y. Song, S.R. Chung, J.H. Baek, J.H. Lee
American Journal of Neuroradiology Sep 2020, 41 (9) 1599-1605; DOI: 10.3174/ajnr.A6757
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