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Sadeghian, Maryam

0000-0003-3663-6011

Mayo Clinic

Mayo Clinic

Citations 3

Improved Visualization of Middle Ear Prostheses using Photon-Counting Detector CT: A Cadaver Study
Sadeghian, Maryam, Benson, John C. , Lane, John I. , Treb, Kevin , Khandalavala, Karl R. , Babajanian, Eric E. , Bruesewitz, Michael R. , Swicklik, Joseph R., Ou, Fang‐Shu , McCollough, Cynthia H, Carlson, Matthew L, Leng, Shuai, Ou, Fang-Shu , Sadeghian, Maryam , Farnsworth, Paul J. , McCollough, Cynthia H. , Carlson, Matthew L. , Leng, Shuai

Radiology Advances | September 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/radadv/umag041 Get It

Abstract Background Evaluation of middle ear prostheses requires high-resolution imaging to assess position and structural integrity. Purpose To assess the diagnostic performance of photon-counting-detector (PCD)-CT for middle ear prosthesis imaging in cadaveric specimens. Materials and Methods Nine different middle ear prostheses were implanted in five fresh-frozen whole-head specimens, both in correct anatomic position and displaced to mimic malposition. Specimens were scanned on PCD-CT (NAEOTOM Alpha, Siemens) and energy-integrating-detector (EID)-CT (SOMATOM Force, Siemens), reconstructed at 0.2mm and 0.4mm, respectively. Eighteen cases (9 prostheses, 2 positions) per scanner were evaluated by two neuroradiologists (36 readings), blinded to scanner and position, who scored prosthesis position, reader confidence, and overall image quality. Agreement with the reference standard and between readers was compared. Results PCD-CT showed higher diagnostic confidence compared with EID-CT, while accuracy and inter-reader agreement did not demonstrate significant differences between scanners. Correct readings, PCD-CT versus EID-CT: lateral contact, 31/36 (86.1%; 95% CI: 58.3%-94.4%) vs. 29/36 (80.6%; 55.6%-91.7%), p = 0.500; medial contact, 30/36 (83.3%; 55.6%-94.4%) vs. 26/36 (72.2%; 50.0%-83.3%), p = 0.250. PCD-CT identified all cases of complete contact loss (score 3), while EID-CT missed one reading per contact. Inter-reader agreement may be higher with PCD-CT vs EID-CT (lateral: κw: 0.804 [0.578-0.941] vs. 0.571 [0.302-0.778], p = 0.250; medial: 0.684 [0.191-0.934] vs. 0.481 [0.024-0.835], p = 0.250). Reader confidence was significantly higher with PCD-CT; mean paired differences for Readers 1 and 2 were 9.4 (1.8-17.1; Holm-adjusted p = 0.019) and 23.1 points (13.4-32.7; p < 0.001) for lateral contact, and 16.4 (10.0-22.8; p < 0.001) and 17.8 points (6.8-28.8; p = 0.007) for medial contact. Readers preferred PCD-CT image quality in 16/18 (88.9%; 65.3%-98.6%) and 17/18 cases (94.4%; 72.7%-99.9%), respectively. Conclusion PCD-CT was associated with significantly higher reader confidence and preferred image quality, without significant differences in diagnostic accuracy or inter-reader agreement. These findings suggest PCD-CT is a promising modality for postoperative middle ear evaluations that warrants further investigations.
Model-based motion simulation framework for deep learning-assisted motion correction in dynamic wrist CT
Zhao, Kristin D. , Treb, Kevin , Gu, Chunming , Davis, Aeden K , Huang, Shengbing, Treb, Kevin , Trentadue, Taylor P , Sadeghian, Maryam , Baffour, Francis , Trentadue, Taylor P , Leng, Shuai , Gong, Hao , Gu, Chunming , Thoreson, Andrew R. , Lachman, Nirusha , Baffour, Francis, Trentadue, Taylor P. , Kakar, Sanjeev , McCollough, Cynthia H, Leng, Shuai , Gong, Hao

Physics in Medicine & Biology | September 11, 2026 | Volume: 71 | Issue: 18 | Pages: 185014

10.1088/1361-6560/aea684 Get It

Abstract Objective. Four-dimensional CT (4DCT) enables visualization of dynamic wrist joint pathology but may be compromised by motion artifacts. Deep learning (DL)-assisted motion correction has the potential to enhance wrist 4DCT quality, but model development is hindered by scarce training data. To address this, we developed a model-based motion simulation framework that generated realistic 4DCT data with paired static ground truth images to demonstrate wrist motion correction using a physics-informed DL model trained with simulated data. Approach. Wrist motion was simulated by synchronizing rotational and translational movements of carpal bones and connective tissues. Elastic deformation guided by analytically-derived motion vector fields was applied to static wrist scans at neutral positions to create artifact-free images at multiple angular positions. Virtual motion-corrupted 4DCT images were produced via forward projection and reconstruction with synchronized gantry and wrist motion. Experimental data from 4DCT cadaver scans were collected to validate simulation quality. Low-intensity region score (LIRS), positivity, and entropy were used to assess simulated motion artifacts. A physics-informed motion correction network was adapted exclusively using simulated training data and subsequently deployed on simulated, real cadaveric, and in vivo 4DCT scans. LIRS and structural similarity index (SSIM) were used to evaluate motion correction quality. Wilcoxon signed-rank tests were conducted ( α = 0.05). Results. The simulation method created realistic motion artifacts compared to real scan reference ( p > 0.05). Motion artifacts were effectively mitigated across testing cases demonstrating generalizability. In simulated scans, LIRS improved from 0.55 ± 0.12–0.75 ± 0.04 and SSIM from 0.87 ± 0.08–0.95 ± 0.03 at bone regions (each p < 0.01). In experimental cadaveric scans, LIRS improved from 0.05 ± 0.01–0.31 ± 0.17 in marker regions and from 0.58 ± 0.19–0.77 ± 0.14 in bone regions (each p < 0.01). Significance. Our simulation method facilitates training DL-assisted motion correction algorithms by providing high-quality training data, effectively supporting 4DCT image quality enhancement.
Abstract We044: MATURITY OF HUMAN INDUCED PLURIPOTENT STEM CELL-DERIVED CARDIOMYOCYTES PROMOTED BY BRACHYURY PRIMING
Kargaran, Parisa K, Garmany, Ramin , Stutzman, Marissa Joy, Sadeghian, Maryam, Ackerman, Michael J. , Behfar, Atta, Terzic, Andre, Garmany, Armin , Sadeghian, Maryam , Behfar, Atta , Terzic, André

Circulation Research | October 9, 2024 | Volume: 135 | Issue: Suppl_1 | Pages: AWe044-AWe044

10.1161/res.135.suppl_1.we044 Get It

Introduction: Cardiac differentiation protocols enable derivation of cardiomyocytes (CM). from human induced pluripotent stem cell (iPS). However, limited tools are available to ensure enhanced iPS-CM maturation without the need for prolonged and complex culture. Research Question: This study assessed whether the mesodermal and cardiopoiesis inductor, Brachyury (T), complements standard cardiac differentiation and augments structural and functional maturation of iPS-CM. Aims: The impact of T mRNA introduction prior to initiation of cardiac differentiation was characterized on: i) cardiac transcription factor expression; ii) structural and functional hallmarks of maturity; and iii) cardiotoxicity. Methods: RT-qPCR was employed to monitor the expression of cardiac-specific transcription factors. Transmission electron microscopy enabled the assessment of cellular ultrastructure. Seahorse measurements were used to determine basal respiration. Fluo4 staining was used to measure calcium transients with external field stimulation. Cardiotoxicity was measured as the impact of doxorubicin on calcium handling and cell survival. Results: Transfection with T prompted early and sustained upregulation of the cardiac transcription factors Nkx2.5 (10-fold; FDR<0.001) and MEF2C (7.2-fold; FDR<0.001). Mitochondrial area was increased with T transfection (P<0.001) and T-transfected iPS-CM exhibited greater basal respiration (FDR<0.05), greater calcium handling resilience in response to field stimulation, and a more mature transient morphology. Following doxorubicin exposure T transfected iPS-CM exhibited a greater compromise in calcium handling (FDR<0.001), and exaggerated cell death. Conclusion: Induction of human iPS with T prior to initiation of cardiac differentiation enhanced signatures of structural and functional maturity, and provided more robust readouts of drug toxicity.