Evidence map›Paper›PMID 42306268›Full record

ArticleJTCVS structural and endovascular2026

Evaluation of neo-innominate connection in bilateral bidirectional Glenn patients using computational flow modeling.

Vikas Kannojiya, Neha Zacharia, Gianna Dafflisio, Akshita Sahni, Nicole St Clair, Rahul H Rathod, Peter E Hammer, David M Hoganson, Pedro J Del Nido, Sitaram Emani and 1 more

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Article in JTCVS structural and endovascular, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

11 authors.

Vikas KannojiyaDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Neha ZachariaDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Gianna DafflisioDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Akshita SahniDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Nicole St ClairDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Rahul H RathodDepartment of Cardiology, Boston Children's Hospital, Boston, Mass.
Peter E HammerDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
David M HogansonDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Pedro J Del NidoDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Sitaram EmaniDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.
Vijay GovindarajanDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Mass.

Funding

A Novel computational approach to optimize Fontan and improve surgical predictabilityR01HL161507 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Vijay Govindarajan · 2022 to 2026
$3.0M
NHLBI NIH HHS R01 HL161507
6 · The paper itself

Abstract

Objective: Patients with single ventricles undergoing bilateral bidirectional Glenn procedures present unique hemodynamic challenges due to distinct flow collisions compared with patients undergoing the unilateral Fontan. Flow-related changes in such patients may result in greater variation in power loss and hepatic flow differential (%) to branch pulmonary arteries that may result in pulmonary arteriovenous malformations and other Fontan-associated complications. This study aimed to analyze power loss and hepatic flow differential (%), along with its associated hemodynamics in patients undergoing the bilateral bidirectional Glenn under different physiological states and to evaluate the impact of a virtual neo-innominate vein connection on blood flow dynamics. Methods: Thirty patients who underwent the bilateral bidirectional Glenn were retrospectively analyzed, and patient-specific 3-dimensional models created using magnetic resonance imaging data were created. Computational fluid dynamic simulations were performed at rest and exercise states. In patients with significantly unbalanced hepatic flow differential (hepatic flow differential to the left pulmonary artery outside a 35% to 65% range), a virtual (neo-innominate) connection was introduced to assess its impact on overall hemodynamics. Results: Nineteen patients exhibited significantly unbalanced hepatic flow differential with median hepatic flow differential to the left pulmonary artery 24%, which improved to 32% after virtual neo-innominate connection, indicating considerable improvement in several patients, although the overall change was not statistically significant ( Conclusions: Our study showed that hemodynamics in patients undergoing the bilateral bidirectional Glenn are highly sensitive to anatomy and flow. A neo-innominate surgical modification can restore balanced hepatic flow differential (%) in select patients without a statistically significant increase in power loss but should be implemented selectively based on patient-specific anatomy and flow.

Indexed as

bilateral bidirectional GlennFontan circulationhepatic flow differentialneo-innominate connection virtual surgerypatient-specific modeling

Identifiers

PMID42306268
PMCPMC13244733

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