- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07582744
CVFs in SIH: EID vs. PCD CTM
CSF-Venous Fistula Detection in Spontaneous Intracranial Hypotension: Comparative Diagnostic Yields of Energy Integrating Detector Versus Photon Counting Detector CT Myelography
연구 개요
상태
정황
상세 설명
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.
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Primary Clinical Research Coordinator
- 전화번호: 919-684-7810
- 이메일: latonia.strader@duke.edu
연구 연락처 백업
- 이름: Clinical Research Specialist
- 전화번호: 919-684-3296
- 이메일: amy.cuddington@duke.edu
연구 장소
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North Carolina
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Durham, North Carolina, 미국, 27710
- 모병
- Duke University Medical Center
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참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:
- Adult patient,
- Confirmed diagnosis of SIH using International Classification of Headache Disorders criteria (third edition), and
- 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:
- Prior treatment of a CVF,
- Inability to undergo both exams (EID-CTM and PCD-CTM) if needed for diagnosis,
- Spine MRI demonstrating extradural CSF (confirming CSF leak type other than CVF), and
- inability to provide informed consent.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 특수 증상
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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실험적: Photon counting detector CT myelography (PCD-CTM)
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Randomization (1:1) to either photon counting detector CT myelography (PCD- CTM) or energy integrating detector CT myelography (EID-CTM)
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다른: Energy integrating detector CT myelography (EID-CTM)
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Randomization (1:1) to either photon counting detector CT myelography (PCD- CTM) or energy integrating detector CT myelography (EID-CTM)
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Diagnostic Yield of CTM for CVF Detection Using DCCS
기간: 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)
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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.
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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)
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- Pro00118497
개별 참가자 데이터(IPD) 계획
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