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Interventional AI-Human Collaboration for Steatotic Liver Disease Screening

2026年5月23日 更新者:Yu Shi、Shengjing Hospital

AI-Driven Opportunistic Screening and Risk-Adapted Management of Steatotic Liver Disease

Steatotic liver disease (SLD) is one of the most prevalent chronic liver diseases worldwide, affecting nearly 30% of the global population and projected to exceed 55% by 2040. Timely identification and management of intermediate- and high-risk SLD patients are essential, yet early detection remains challenging because current diagnostic modalities, such as biopsy, ultrasonography, and serum indices, are invasive, insensitive, operator-dependent, or difficult to scale. In contrast, non-contrast CT is widely available in routine care and offers substantial potential for opportunistic SLD screening, although this value has not been fully utilized. Our previously developed MAOSS model accurately identifies intermediate- and high-risk individuals, with MAOSS score≥1.6 combined with Fibro Score ≥1.7, demonstrating high sensitivity and specificity in our large-scale retrospective study. However, despite these promising retrospective findings, the model has not undergone prospective interventional validation, and it remains unclear whether an AI-guided workflow can truly enhance clinical risk stratification, diagnostic yield, and downstream management in real-world SLD populations. Therefore, a prospective intervention study is needed to determine whether MAOSS-guided identification and recall of at-risk individuals can meaningfully improve fibrosis detection and optimize clinical care pathways for SLD.

調査の概要

詳細な説明

The AIG-SLD Screening Project is a single-arm, open-label, prospective interventional study designed to evaluate the effectiveness of a MAOSS-guided identification and AI-human collaboration recall strategy for detecting individuals at intermediate or high risk of steatotic liver disease (SLD) and for assessing intervention outcomes. The trail will prospectively and consecutively enroll around 8000 eligible adults aged ≥18 years who undergo routine chest or abdominal non-contrast CT (NCCT) with adequate hepatic coverage .

The AI system i.e. MAOSS will be embedded within the standard clinical workflow to evaluate the real-world performance and the impact of AIG-SLD screening. All eligible NCCT scans will be evaluated through two parallel streams:

  1. Standard of Care (SoC) workflow: Radiologists perform independent assessments, first-line radiologists review followed by a senior radiologist finalizing the report.
  2. AIG workflow: The MAOSS system simultaneously analyzes the identical imaging data in real-time.

The system screens patients with clinically suspected SLD by flagging those with a MAOSS score ≥1.6 and a FIBRO Score ≥1.7 for recall. These algorithmic flags will be compared against radiologists' determinations of clinically significant SLD. Management pathways are defined as follows: (1) Concordant cases: If the Standard of Care (SoC) and the AIG pathway agree (both recommending recall or both recommending no recall), the agreed-upon decision will be executed. (2) Discordant cases: If the SoC and AIG pathways disagree, patients will be recalled for primary hepatology care to ensure safety.

Primary hepatology care begins with the collection of questionnaires regarding medical history, lifestyle, alcohol consumption, and metabolic risks (Type 2 Diabetes Mellitus, obesity, metabolic syndrome, significant alcohol consumption, or viral hepatitis) followed by further serum laboratory tests and Transient Elastography (e.g., FibroScan). Recalled patients will be managed according to the MAOSS pathway starting with FIB-4 stratification (<1.3, 1.3-2.67, >2.67), followed by FAST stratification (<0.35, ≥0.35) as needed. Intermediate-to-high-risk patients will proceed to escalated care involving MRE, MRI-PDFF, or liver biopsy. Management is then determined by MRE-derived Liver Stiffness Measurement (LSM): patients with LSM < 3.5 kPa will receive lifestyle interventions and annual reassessment; those with LSM 3.5-5.0 kPa (F2-F3) will receive pharmacological or therapeutic interventions; and those with LSM ≥ 5.0 kPa (F4) will undergo cirrhosis-based management. Patients in the latter two groups will be reassessed every six months to monitor changes in steatosis and fibrosis.

研究の種類

介入

入学 (推定)

7969

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Liaoning
      • Shenyang、Liaoning、中国、110004
        • Shengjing Hospital of China Medical University

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

説明

Inclusion Criteria:

  • Adults aged ≥18 years undergoing routine non-contrast or contrast-enhanced chest or abdominal CT examination.
  • CT images with adequate hepatic coverage and sufficient image quality for MAOSS analysis.
  • Willing to undergo the recall evaluation and either: having a FIB-4 result within the past 1 month, or willing to complete blood testing (ALT, AST, platelet count) required for FIB-4 calculation and undergo FibroScan or MRE assessment.
  • Willing to participate in the study and able to provide written informed consent at the time of recall.

Exclusion Criteria:

  • Known malignant liver tumors (e.g., HCC, cholangiocarcinoma) or a history of liver transplantation or major hepatic resection.
  • Known cirrhosis based on noninvasive fibrosis assessment tests, liver biopsy or complications of decompensated disease, or with a documented history of cirrhosis identified by clinical notes will be excluded.
  • Biliary obstruction, acute cholangitis, or other conditions that may interfere with interpretation of liver biochemistry or fibrosis risk assessment.
  • CT images with severe artifacts or incomplete liver coverage preventing reliable MAOSS analysis.
  • Severe acute systemic illness (e.g., sepsis, shock, acute heart failure), or pregnancy or breastfeeding.
  • Unwilling or unable to complete recall procedures, including required blood tests, FibroScan, or MRE when indicated, or unable to comply with study follow-up.
  • Severe comorbidity with an expected survival of less than 1 year (e.g., terminal malignancy).

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ふるい分け
  • 割り当て:なし
  • 介入モデル:単一グループの割り当て
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
実験的:AI-human collaboration for SLD screening
In the prospective analysis phase, all eligible NCCT scans will be evaluated through two parallel streams: 1. Standard of Care (SoC) workflow: Radiologists perform independent assessments as per standard clinical procedures (e.g., first-line radiologists' reviews followed by senior radiologist finalizing the report). 2. AIG workflow: The MAOSS system simultaneously analyzes the identical imaging data in real-time.
The system screens patients with clinically suspected SLD by flagging those with a MAOSS score ≥1.6 and a FIBRO Score ≥1.7 for recall. These algorithmic flags will be compared against radiologists' determinations of clinically significant SLD. Management pathways are defined as follows: (1) Concordant cases: If the Standard of Care (SoC) and the AIG pathway agree (both recommending recall or both recommending no recall), the agreed-upon decision will be executed. (2) Discordant cases: If the SoC and AIG pathways disagree, patients will be recalled for primary hepatology care to ensure safety and avoid potential missed diagnosis.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Effective referral yield for escalated hepatology care
時間枠:6 months
Effective referral yield: the proportion of patients referred for escalated hepatology care confirmed with clinically significant (or above) fibrosis by MRE/liver biposy. A non-inferiority test (and estimates of the associated absolute and relative differences) will be performed for effective referral yield between SoC and AIG workflow.
6 months

二次結果の測定

結果測定
メジャーの説明
時間枠
Real-World Screening Specificity
時間枠:Duration of the study (12 months)
A critical safety endpoint is to determine if AIG-SLD care pathway maintains a high specificity to prevent false referral, thereby avoiding unnecessary interventions.
Duration of the study (12 months)
Real-World Screening Sensitivity
時間枠:Duration of the study (12 months)
A critical efficacy endpoint is to determine if AIG-SLD care pathway is sufficiently sensitive to identify patients who actually need interventions.
Duration of the study (12 months)
Real-World Screening Negative predictive value
時間枠:Duration of the study (12 months)
This evaluates the AIG-SLD care pathway's ability to correctly exclude low-risk patients who actually do not need interventions.
Duration of the study (12 months)
Intervention Success (Fibrosis Reversion)
時間枠:Duration of the study (12 months)
The proportion of patients referred for escalated care achieves fibrosis stage reversion.
Duration of the study (12 months)
Intervention Success (Steatosis Reversion)
時間枠:Duration of the study (12 months)
The proportion of patients referred for escalated care achieves steatosis stage Reversion.
Duration of the study (12 months)
Quantitative Liver Stiffness Trends
時間枠:Duration of the study (12 months)
The overall longitudinal changes in Liver Stiffness Measurement (LSM) values for all patients referred to escalated care.
Duration of the study (12 months)
Quantitative Liver Steatosis Trends
時間枠:Duration of the study (12 months)
The overall longitudinal changes in Liver Fat Content (CAP/PDFF) values for all patients referred to escalated care.
Duration of the study (12 months)
Intervention Patient Adherence
時間枠:Duration of the study (12 months)
The overall intervention adherence rate for all patients referred to escalated care.
Duration of the study (12 months)

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研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2026年2月24日

一次修了 (推定)

2026年8月30日

研究の完了 (推定)

2027年2月24日

試験登録日

最初に提出

2026年5月23日

QC基準を満たした最初の提出物

2026年5月23日

最初の投稿 (実際)

2026年5月29日

学習記録の更新

投稿された最後の更新 (実際)

2026年5月29日

QC基準を満たした最後の更新が送信されました

2026年5月23日

最終確認日

2026年5月1日

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