Sepideh Abdi

All Publications

• Participant metabolic state impacts glioma PET imaging: Translational insights from [18F]DASA-10 and FDG Abdi, S., Moses, A., Malek, R., Cheung, P., Landry, M., Recht, L., Beinat, C. OXFORD UNIV PRESS INC. 2025: v440

  View details for DOI 10.1093/neuonc/noaf201.1739

  View details for Web of Science ID 001613245000032

• 2-Methylglutamate Prolongs Survival in a Mouse Model of Glioblastoma Moses, A., Kendirli, M., Abdi, S., Cheung, P., Perna, A., Montine, T., Recht, L., Beinat, C. OXFORD UNIV PRESS INC. 2025: v433

  View details for DOI 10.1093/neuonc/noaf201.1714

  View details for Web of Science ID 001613221000043

• Comparison of the Diagnostic Utility of Computed Tomography Angiography Head With and Without 3-Dimensional Volume-Rendered Images for Aneurysm Detection in Subarachnoid Hemorrhage Patients Versus Digital Subtraction Angiography. Neurosurgery Chang, Y. M., Abdi, S., Purohit, S., Ramirez-Velandia, F., Brook, A., Ogilvy, C. S., Bhadelia, R. A. 2026; 98 (4): 866-872

  Abstract

  Generating computed tomography (CT) angiography (CTA) 3-dimensional (3D) volume-rendered (3DVR) images can be time consuming without specialized technical staff or artificial intelligence solutions. However, their role in aneurysm detection in patients with subarachnoid hemorrhage is not known. Our aim was to assess the diagnostic utility of 64-detector row CTA with 3DVR (CTA+3DVR) vs without 3DVR (CTA-3DVR) in intracranial aneurysm detection.A retrospective analysis of patients presenting with spontaneous subarachnoid hemorrhage (regardless of location) who underwent 64-detector row CTA and subsequent digital subtraction angiography (DSA) between 2013 and 2020 was performed. DSA was the reference standard. Almost all DSAs were performed with 3D rotational angiography. Two neuroradiologists blinded to the DSA results separately reviewed CTA source and maximum intensity projection images without 3DVR images (CTA-3DVR) and then immediately followed by the 3DVR images (CTA + 3DVR). Disagreements were resolved by consensus review. Aneurysm size was measured on DSA.In total, 200 patients were included in the study. 140 aneurysms in 114 patients were detected on DSA. CTA-3DVR detected 135 of 140 aneurysms (96.4%), and CTA+3DVR detected 136 of 140 aneurysms (97.1%). All missed aneurysms measured 2-4 mm. Three of four missed aneurysms were associated with multiple aneurysms, and 1 was a singly occurring, 2-mm M3 segment aneurysm. The 1 additional aneurysm detected by CTA + 3DVR was a 3-mm left A3 segment aneurysm. No false positives occurred with or without 3DVR.CTA+3DVR detected 1 additional distal A3 aneurysm vs CTA-VR. 3DVR does not seem to substantially improve the detection of aneurysms but may be useful in the emergent setting for aneurysm morphology characterization.

  View details for DOI 10.1227/neu.0000000000003708

  View details for PubMedID 40874770

• Diagnostic Utility of 3D Volume Rendered Images in CTA Head Scans for Aneurysm Detection in Subarachnoid Hemorrhage Patients Purohit, S., Chang, Y., Velandia, F., Abdi, S., Brook, A., Bhadelia, R., Ogilvy, C. S. LIPPINCOTT WILLIAMS & WILKINS. 2026: 203-204

  View details for DOI 10.1227/neu.0000000000003964_1093

  View details for Web of Science ID 001716270700003

• IRANCANSURV: A comprehensive analysis of childhood cancer survival in Iran. International journal of cancer Saeedi, E., Nemati, S., Lotfi, F., Domingues, A., Abdi, S., Pirnejad, H., Cheraghi, M., Rezaeianzadeh, A., Dolatkhah, R., Niami, N., Bazarafshan, A., Golpazir, A., Yaghoobi-Ashrafi, M., Alvand, S., Ravankhah, Z., Mohebbi, E., Nahvijou, A., Zendehdel, K. 2026; 158 (4): 866-872

  Abstract

  We aimed to assess the 5-year survival probability of childhood cancer in Iran, utilizing data from eight population-based cancer registries across the country. The study employed data from 1809 childhood cancer patients aged 0-14 years, diagnosed between 2014 and 2016. Patients underwent active and passive follow-up procedures, and cases with uncertain vital status were excluded. We used the relative survival method to estimate age-standardized net survival probability for childhood cancer in Iran. The 5-year net survival for leukemia was 67.85% (95% confidence interval [CI] = 64.57, 70.90), while for central nervous system (CNS) cancers, it was 48.63% (95% CI = 43.21, 53.82). An analysis of regional disparities revealed a significant discrepancy of 14.56% in the 5-year survival of childhood leukemia, from 56.96 % in West Azerbaijan to 71.52% in Fars province. The geographical disparity in the 5-year survival of childhood CNS cancer became more pronounced, with a staggering 57.33% difference ranging from 73.50% in Khuzestan to 16.17% in Isfahan provinces. The study highlights low childhood cancer survival rates in Iran and calls for a robust surveillance system, public awareness campaigns, implementing national clinical practice guidelines, and financial support from government and NGOs to improve patient outcomes.

  View details for DOI 10.1002/ijc.70100

  View details for PubMedID 40888340

• A Systematic Review of the Mechanistic Effects of Ginsenosides on Enhancing Radiotherapy and Providing Radioprotection. Anti-cancer agents in medicinal chemistry Abdi, S., Heidari-Soureshjani, S., Rostamian, S., Raeisi, E. 2026

  Abstract

  Radiotherapy (RT) is a standard cancer treatment that may be associated with problems such as ineffectiveness and side effects. This study investigated ginsenosides' radiosensitizing and radioprotective properties and their metabolites during RT.This study searched databases including PubMed/MEDLINE, Scopus, Embase, and Cochrane Library for articles before January 28, 2025. After specifying the inclusion and exclusion criteria, relevant articles were imported into EndNote software and screened. Then, the data were recorded in tables and analyzed.After the screening process, 28 articles were included. Ginsenosides exhibited radioprotective effects in normal tissues by reducing oxidative stress, preserving mitochondrial integrity, enhancing DNA repair, modulating inflammatory pathways, and supporting hematopoiesis. Key compounds such as Rg1, Rg3, and Rh2 promoted tissue regeneration and protected against radiation-induced organ damage. In tumour cells, ginsenosides enhance radiosensitivity by increasing reactive oxygen species (ROS), disrupting mitochondrial function, inducing DNA damage and cell cycle arrest, and promoting apoptosis. They also inhibited tumour progression via nuclear factor kappa B (NF-κB) suppression and immune activation, reducing angiogenesis and metastasis. These dual actions suggest their potential to improve radiotherapy outcomes.Ginsenosides revealed dual roles as radioprotective and radiosensitizing agents, highlighting their potential in improving RT outcomes. However, the limited clinical data and lack of ginseng extract studies indicate the need for future clinical studies to establish optimal dosing, safety, and relevance for humans.The findings of both in vivo and in vitro studies indicated that ginsenosides enhance RT and provide protective effects against the harmful impacts of ionizing radiation.

  View details for DOI 10.2174/0118715206394677250930145253

  View details for PubMedID 41487004

• CT-Based Radiomics and Deep Learning for Preoperative Thyroid Nodule Classification: A Systematic Review, Meta-analysis, and Radiologist Comparison. Academic radiology Broomand Lomer, N., Ahmadzadeh, A. M., Ashoobi, M. A., Abdi, S., Ghasemi, A., Gholamrezanezhad, A. 2026; 33 (1): 98-116

  Abstract

  Computed tomography (CT) can evaluate thyroid cancer invasion into adjacent structures and is useful in identifying incidental thyroid nodules. Computer-aided diagnostic approaches may provide valuable clinical advantages in this domain. Here, we aim to evaluate the diagnostic performance of radiomics and deep-learning methods using CT imaging for preoperative nodule classification.A comprehensive search of PubMed, Embase, Scopus, and Web of Science was conducted from inception to June 2, 2025. Study quality was assessed using QUADAS-2 and METRICS. A bivariate meta-analysis estimated pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and area under the curve (AUC). Two supplementary analyses compared AI model performance with radiologists and assessed diagnostic utility across CT imaging phases (plain, venous, arterial). Subgroup and sensitivity analyses explored sources of heterogeneity. Publication bias was evaluated using Deek's funnel plot.The meta-analysis included 12 radiomics studies (sensitivity: 0.85, specificity: 0.83, PLR: 4.60, NLR: 0.19, DOR: 30.29, AUC: 0.894) and five deep-learning studies (sensitivity: 0.87, specificity: 0.93, PLR: 14.04, NLR: 0.15, DOR: 95.76, AUC: 0.911). Radiomics models showed low heterogeneity, while deep-learning models showed substantial heterogeneity, potentially due to differences in validation, segmentation, METRICS quality, and reference standards. Overall, these models outperformed radiologists, and models using plain CT images outperformed those based on arterial or venous phases.Radiomics and deep-learning models have demonstrated promising performance in classifying thyroid nodules and may improve radiologists' accuracy in indeterminate cases, while reducing unnecessary biopsies.

  View details for DOI 10.1016/j.acra.2025.09.045

  View details for PubMedID 41107124

• Accuracy of CT-Based Radiomics Models for Preoperative Grading of Clear Cell Renal Cell Carcinoma: A Systematic Review and Meta-analysis. Academic radiology Lomer, N. B., Abdi, S., Ashoobi, M. A., Ahmadzadeh, A. M., Ghasemi, A., Torigian, D. A. 2025; 32 (11): 6664-6676

  Abstract

  High-grade clear cell renal cell carcinoma (ccRCC) is linked to aggressive behavior, higher metastatic potential, and poor overall prognosis. This study aims to assess the diagnostic performance of CT-based radiomics models for preoperative differentiation of high-grade from low-grade ccRCC.A comprehensive systematic search was conducted across PubMed, Scopus, and Embase. Study quality was evaluated using the QUADAS-2 and METRICS tools. Pooled estimates of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated using a bivariate random-effects model. Separate comparative analyses were performed based on tumor grading system, imaging phase, and model type. Subgroup analysis was performed to identify potential sources of heterogeneity. Sensitivity analysis was conducted to identify potential outliers. Publication bias was assessed using Deek's funnel plot asymmetry test.A total of 49 studies, encompassing 11,125 patients and 11,922 lesions, were included in the review. Of these, 27 studies were eligible for meta-analysis. The pooled performance of the radiomics model demonstrated a sensitivity of 0.79, specificity of 0.85, PLR of 4.6, NLR of 0.30, DOR of 19.21, and AUC of 0.88. Pooled sensitivity exhibited substantial heterogeneity (I²=51.4%), while heterogeneity for other estimates was minimal. Studies using WHO/ISUP tumor grading system showed higher pooled sensitivity compared to those using Fuhrman grading system (Sensitivity: 0.81 vs 0.71, p=0.03, AUC: 0.88 vs. 0.82, p<0.001). Combined models performed comparably to radiomics-only models (AUC: 0.87 vs. 0.85, p=0.1). Nephrographic phase (AUC: 0.67) showed inferior performance compared to corticomedullary phase (AUC: 0.82) and non-contrast images (AUC: 0.83). No considerable publication bias was observed (p=0.73).CT-based radiomics models have demonstrated promise as non-invasive tools for grading ccRCC and may serve as valuable adjuncts in clinical practice.

  View details for DOI 10.1016/j.acra.2025.05.049

  View details for PubMedID 40527677

• Socioeconomic disparities impacting breast cancer care and survival in Iran. Scientific reports Rajabpour, M. V., Nemati, S., Seyyedsalehi, M. S., Nahvijou, A., Abdi, S., Garousi, M., Omranipour, R., Abdollahi, A., Aghili, M., Motlagh, A., Javanmad, S. H., Zendehdel, K. 2025; 15 (1): 36776

  Abstract

  Breast cancer is the most common cancer among women. However, individuals with a lower socioeconomic status (SES) tend to experience poorer prognosis. We aimed to study disparities in diagnosis, treatment, quality of care, and survival by SES in Iran. Data from breast cancer patients at the Cancer Institute of Iran between 2014 and 2016, registered in the clinical breast cancer registry of Iran (CBCR-IR), were used. Clinical data were obtained from CBCR-IR, while follow-up data and information on SES, including 10 household assets and education level, were gathered through telephone interviews. The primary outcome was survival, determined through active follow-up. Additionally, we studied delays in treatment and the quality of care based on European Society of Breast Cancer Specialists (EUSOMA) standards. A Cox proportional hazard model was used to investigate the association between SES and survival in women with breast cancer. The inequality in breast cancer survival was analyzed using the Blinder-Oaxaca decomposition model. The 5-year overall survival rates were 87.7% (95% CI: 83.9-90.7) for low SES patients, 90.2% (95% CI: 86.7-92.8) for mid SES, and 92.1% (95% CI: 89.0-94.3) for high SES patients (log-rank test P-value = 0.077). A 3.3% gap in breast cancer mortality was observed between high and low SES patients (95% CI: 1.3-5.5), with the model explaining 2.2% of this difference. Differences in delay in treatment and stage at diagnosis accounted for 0.5% (95% CI: 0.2-0.7) and 1.8% (95% CI: 1.2-2.3) of the disparity. Breast cancer mortality is higher in low SES patients, primarily due to late diagnosis and delays in treatment initiation.

  View details for DOI 10.1038/s41598-025-20638-x

  View details for PubMedID 41120525

  View details for PubMedCentralID PMC12540666

• Imaging of Premalignant Conditions of Bone and Soft Tissue. Radiographics : a review publication of the Radiological Society of North America, Inc Abdi, S., Al-Ibraheemi, A., Komarraju, A., Cutts, J., Deshmukh, S., Smith, S. E., Wu, J. S. 2025; 45 (8): e240172

  Abstract

  Several bone and soft-tissue conditions can transform into malignancy. This carcinogenesis can occur in benign bone and soft-tissue tumors, as well as in tissue injured by radiation, infection, or trauma. These conditions include common tumors and diseases such as osteochondroma, enchondroma, osteomyelitis, and osteonecrosis; however, other entities are more rare. Because many of these conditions are assessed at surveillance imaging, changes in the size and shape of the lesion and the development of aggressive features are often first identified by the radiologist. It is important to be knowledgeable of these conditions and their characteristic imaging appearances so that cases of malignant transformation can be identified early and appropriate treatment can be initiated. The authors outline the key imaging features and clinical considerations that can indicate a premalignant state, providing a rationale for more aggressive monitoring and/or intervention. This review underscores the necessity of advanced imaging modalities for enhancing diagnostic accuracy, which is paramount for improving patient prognoses and reducing the morbidity associated with premalignant bone and soft-tissue conditions. ©RSNA, 2025 Supplemental material is available for this article.

  View details for DOI 10.1148/rg.240172

  View details for PubMedID 40674247

• The relationship of myocardial and liver T2* values with cardiac function and laboratory findings in transfusion-dependent thalassemia major patients: A retrospective cardiac MRI study. Journal of cardiovascular and thoracic research Abdi, S., Taheri, N., Zahedi Haghighi, F., Khaki, M., Najafi, H., Hemmati Komasi, M. M., Hassani, B. 2023; 15 (2): 86-92

  Abstract

  Cardiac complications are the leading cause of death in thalassemia patients. It is assumed that progressive iron accumulation results in myocyte damage. Myocardial T2* measurement by cardiac MRI quantifies iron overload. We aimed to study the association between left and right ventricular (LV and RV) function and iron deposition estimation by cardiac MRI T2* in a sample of Iranian patients.Cardiac MRI exams of 118 transfusion-dependent thalassemia major patients were evaluated retrospectively. Biventricular function and volume and myocardial and liver T2* values were measured. The demographic and lab data were registered. Poisson and chi-square regression analyses investigated the correlation between the T2* value and ventricular dysfunction.The study participants' mean (SD) age was 32.7y (9.02), and 47.46% were female. Forty-nine cases (41.52%) revealed at least uni-ventricular dysfunction. LV dysfunction was noted in 20 cases, whereas 47 patients revealed RV dysfunction. The risk of LV dysfunction was 5.3-fold higher in patients with cardiac T2* value less than 10msec (RR=5.3, 95% CI=1.6, 17.1, P<0.05). No association was found between age, liver T2* value, serum ferritin level, and chelation therapy with the risk of LV and RV dysfunction.Cardiac MRI T2* measure is a good indicator of LV dysfunction. Moreover, MRI parameters, especially RV functional measures, may have a substantial role in patient management. Therefore, cardiac MRI should be included in beta-thalassemia patients' management strategies.

  View details for DOI 10.34172/jcvtr.2023.31592

  View details for PubMedID 37654812

  View details for PubMedCentralID PMC10466462