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CVFs in SIH: EID vs. PCD CTM

11 juni 2026 bijgewerkt door: Duke University

CSF-Venous Fistula Detection in Spontaneous Intracranial Hypotension: Comparative Diagnostic Yields of Energy Integrating Detector Versus Photon Counting Detector CT Myelography

The purpose of this research study is to compare two types of Computed Tomography Myelography (CTM) scans, one on the photon counting detector scanner (called PCD-CTM) and the other on the energy integrating detector scanner (called EID-CTM); both of which doctors usually use to diagnose abnormal connections between the cerebrospinal fluid and the venous system, or CSF-venous fistulas. This study will help to see if the newer PCD-CTM scan can find more spinal fluid leaks [CSF-venous fistulas (CVF)] than the scan that is normally used (EID-CTM).

Studie Overzicht

Gedetailleerde beschrijving

Spontaneous intracranial hypotension (SIH) is a debilitating condition caused by a spinal CSF leak. One subtype of spinal CSF leak, the CSF-venous fistula (CVF), is a pathologic connection between the CSF-containing nerve root sleeve and an adjacent paraspinal vein. Identifying and localizing the CVF that causes SIH is a critical prerequisite to curative treatment. Visualizing CVFs requires high-quality myelography. Despite improvements in myelographic techniques, CVF identification remains challenging because they are diminutive structures and depend on identifying small volumes of contrast in a paraspinal vein, the "hyperdense paraspinal vein sign."

Compared with EID CT myelography (EID-CTM), PCD-CTM enables much higher spatial resolution and a greater contrast-to-noise ratio, carrying with it the promise of improved detection rates for CVF. Previous publications report early encouraging findings on the benefits of PCD-CTM for CVF detection; however, all prior work has been based on retrospective data. Importantly, these retrospective studies have been biased toward reduced PCD-CTM CVF detection, since only the patients with CVFs that are not definitely identified on EID-CTM undergo PCD-CTM (thus, more challenging cases are completed on the PCD CT). No studies have prospectively demonstrated the additional benefit of PCD-CTM over EID-CTM. Furthermore, no studies have prospectively reported the yield of any type of myelography for CVF detection. Based on the study team's knowledge of these imaging modalities and the imaging appearance of CVFs, PCD-CTM may have a benefit in detecting CVFs that can be missed on EID-CTM, which has been suggested in retrospective studies.

This is a prospective randomized clinical trial designed to assess the diagnostic yield of two different CT scanner types for detecting CSF-venous fistulas (CVFs) during CT myelography. The primary study aim is to compare PCD-CTM to traditional EID-CTM, which is currently the most commonly used technique for CVF detection. Patients meeting inclusion/exclusion criteria will be identified at the Duke CSF Leak Clinic. After informed consent, enrolled participants will be randomized (1:1 allocation) to either PCD-CTM or EID-CTM. CTM technique for both arms will be performed in a standardized manner as part of routine standard of care, as previously published. There will be no additional imaging outside of the current standard of care.

The only intervention in this study is randomization into either of the two imaging arms.

CTM images will be reviewed by the radiologist performing the procedure as part of routine standard of care as well as one additional neuroradiologist. The presence or absence of a CVF will be classified according to the Duke CVF Confidence Score (DCCS). Disagreements will be adjudicated by a third neuroradiologist.

Studietype

Ingrijpend

Inschrijving (Geschat)

200

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Contact Back-up

Studie Locaties

    • North Carolina
      • Durham, North Carolina, Verenigde Staten, 27710
        • Werving
        • Duke University Medical Center

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Beschrijving

Inclusion Criteria:

  1. Adult patient,
  2. Confirmed diagnosis of SIH using International Classification of Headache Disorders criteria (third edition), and
  3. Brain MRI demonstrating at least one positive imaging finding for SIH (e.g., dural enhancement, venous sinus distention, brain sagging, pituitary engorgement, spontaneous subdural fluid collections).

Exclusion Criteria:

  1. Prior treatment of a CVF,
  2. Inability to undergo both exams (EID-CTM and PCD-CTM) if needed for diagnosis,
  3. Spine MRI demonstrating extradural CSF (confirming CSF leak type other than CVF), and
  4. inability to provide informed consent.

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Diagnostisch
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Enkel

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: Photon counting detector CT myelography (PCD-CTM)
Randomization (1:1) to either photon counting detector CT myelography (PCD- CTM) or energy integrating detector CT myelography (EID-CTM)
Ander: Energy integrating detector CT myelography (EID-CTM)
Randomization (1:1) to either photon counting detector CT myelography (PCD- CTM) or energy integrating detector CT myelography (EID-CTM)

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Diagnostic Yield of CTM for CVF Detection Using DCCS
Tijdsspanne: Initial interpretation by radiologist performing procedure: within 4 weeks of completion of CTM. Secondary interpretation by additional neuroradiologist and adjudication by third (when needed): completion of study (approximately 3 years)
Diagnostic yield will be calculated in both arms as the fraction of patients in whom at least one definite CVF (DCCS 3) is identified. CTM images from both arms will be reviewed by the radiologist performing the procedure as part of routine standard of care, as well as one additional neuroradiologist. The presence or absence of a CVF will be classified according to the Duke CVF Confidence Score (DCCS). Disagreements will be adjudicated by a third neuroradiologist.
Initial interpretation by radiologist performing procedure: within 4 weeks of completion of CTM. Secondary interpretation by additional neuroradiologist and adjudication by third (when needed): completion of study (approximately 3 years)

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

Medewerkers

Onderzoekers

  • Hoofdonderzoeker: Timothy J Amrhein, MD, Duke University

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

21 mei 2026

Primaire voltooiing (Geschat)

1 juni 2028

Studie voltooiing (Geschat)

1 augustus 2028

Studieregistratiedata

Eerst ingediend

6 mei 2026

Eerst ingediend dat voldeed aan de QC-criteria

6 mei 2026

Eerst geplaatst (Werkelijk)

13 mei 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

15 juni 2026

Laatste update ingediend die voldeed aan QC-criteria

11 juni 2026

Laatst geverifieerd

1 mei 2026

Meer informatie

Termen gerelateerd aan deze studie

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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