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Diagnostics
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Innovations in Diagnostic and Interventional Cardiology: Bridging Imaging, Physiology, and...
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Innovations in Diagnostic and Interventional Cardiology: Bridging Imaging, Physiology, and Therapy

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 469

Special Issue Editors

Dr. Samit Shah

E-Mail Website
Guest Editor
Yale School of Medicine, Yale-New Haven Hospital, New Haven, CT 06510, USA
Interests: coronary artery disease; cardiovascular physiology; microvascular angina
Dr. Natalija Odanovic

E-Mail Website
Guest Editor Assistant
Yale School of Medicine, Yale-New Haven Hospital, New Haven, CT 06510, USA
Interests: cardiovascular disease; interventional cardiology; internal medicine

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this upcoming Special Issue of Diagnostics, entitled “Innovations in Diagnostic and Interventional Cardiology: Bridging Imaging, Physiology, and Therapy”. As technology continues to evolve, the integration of diagnostic imaging and physiologic assessments into interventional procedures is becoming increasingly important for precision medicine, improving outcomes, and minimizing patient risk.

This Special Issue aims to explore the dynamic interplay between diagnostic cardiology and interventional techniques, highlighting the use of innovations in imaging and physiologic assessment to guide and optimize therapeutic procedures. We seek to provide a platform for the dissemination of original research articles spanning various diagnostic modalities (EKG, echocardiography, nuclear imaging, cardiac CT and MRI, IVUS, OCT, angiography-derived FFR and IMR, etc.) used to guide and optimize interventional and structural procedures. Articles focused on imaging-derived physiology, such as CT-FFR, angiography-derived FFRs, OCT, and IVUS-based functional assessments, as well as imaging modalities for the assessment of microvascular function, are particularly welcome to be submitted to this Special Issue. We also welcome the submission of comprehensive review articles that demonstrate the use of diagnostic tools for informing clinical decision-making and procedural strategies in interventional cardiology.

We look forward to receiving your contributions.

Dr. Samit Shah
Guest Editor

Dr. Natalija Odanovic
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • EKG
  • CCTA
  • MRI
  • SPECT
  • PET
  • Echo
  • OCT
  • IVUS
  • QFR
  • angioIMR

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Published Papers (1 paper)

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Research

14 pages, 1465 KB  
Article
“Vox Populi” Fractional Flow Reserve (vpFFR)—Leveraging Wisdom of the Crowd for the Assessment of Hemodynamic Severity of Intermediate Coronary Lesions
by Natalija Odanovic, Vojko Misevic, Aleksa Obradovic, Vanja Bojic, Kosta Krupnikovic, Aleksandar Mandic, Matija Furtula, Dusan Borzanovic, Nikola Lazarevic, Stefan Zivkovic, Ivan Ilic, Milan Dobric and Samit M. Shah
Diagnostics 2026, 16(2), 269; https://doi.org/10.3390/diagnostics16020269 - 14 Jan 2026
Viewed by 311
Abstract
Background/Objectives: Diagnostic performance of angiography-derived physiological measures has been benchmarked against two-dimensional (2D) and three-dimensional (3D) quantitative coronary angiography (QCA), which are known for their poor correlation with hemodynamic lesion severity. Relying on the statistical concept of the wisdom of the crowd, we [...] Read more.
Background/Objectives: Diagnostic performance of angiography-derived physiological measures has been benchmarked against two-dimensional (2D) and three-dimensional (3D) quantitative coronary angiography (QCA), which are known for their poor correlation with hemodynamic lesion severity. Relying on the statistical concept of the wisdom of the crowd, we devised a human-performance reference for FFR surrogates, called vox populi FFR (vpFFR), and examined the comparative diagnostic performance of vpFFR, as well as 2D- and 3D-QCA, using invasively measured FFR as the gold standard. Methods: Analyses were performed in a single-center, prospective registry of consecutive FFR procedures. We calculated vpFFR as a mean of five independent, blinded predictions of the invasively measured FFR. Pearson’s correlation coefficient and receiver operating characteristic (ROC) curve analyses were used for diagnostic performance comparisons. Results: In 116 patients (156 vessels), Pearson’s correlation coefficients for vpFFR, 2D-, and 3D-QCA with invasively measured FFR are 0.56, −0.26, and −0.01, respectively (p < 0.001, p = 0.001 and p = 0.918). vpFFR has a sensitivity of 56%, specificity of 84%, positive predictive value of 67%, and negative predictive value of 76%. It correctly classified hemodynamic severity of lesions in 73% of vessels compared to 65% and 51% for 2D- and 3D-QCA, respectively. vpFFR has a larger area under the ROC curve than 2D- and 3D-QCA for predicting positive FFR (0.78, 0.63, and 0.45, respectively, p < 0.001). Conclusions: vpFFR, a mean value of five predictions of invasively measured FFR, has moderate diagnostic performance, superior to 2D- and 3D-QCA using FFR as the gold standard, and can be used as a human-performance reference for existing and emerging angiography-derived physiological measures. Full article
(This article belongs to the Special Issue Innovations in Diagnostic and Interventional Cardiology: Bridging Imaging, Physiology, and Therapy)
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