Publications by authors named "Saeed Mohammadzadeh"

Purpose: To compare the impact of the various needle gauges employed in ultrasound-guided fine-needle aspiration (FNA) on the adequacy rate of specimens obtained from thyroid nodules.

Methods: A systematic review and meta-analysis were performed employing PubMed, Web of Science, Embase, and Cochrane Library databases on December 22, 2024. Studies published post-2010 that compared various needle gauges in thyroid FNA with histopathological confirmation were included.

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Background And Purpose: papillary thyroid carcinoma (PTC) as the most common thyroid tumor, tends to invade adjacent organs, especially lymphatic system. This study aimed to evaluate the discrimination performance of ultrasound elastography (USE) in assessing PTC nodule for determination of cervical lymph node metastasis (CLNM).

Methods: The protocol was pre-registered at ( https://osf.

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Purpose: This study evaluates the diagnostic performance of quantitative diffusion-weighted imaging (DWI), including both conventional and intravoxel incoherent motion (IVIM)-derived parameters, in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC).

Method: A systematic review and meta-analysis were conducted following a pre-registered protocol ( https://osf.io/9yhrg ).

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Objective: To investigate the potential of 3'-deoxy-3'-[18F]fluorothymidine positron emission tomography computed tomography ([18F]FLT PET/CT) in predicting locally advanced breast cancer response to neoadjuvant chemotherapy (NAC), focusing on the role of tumor to background parenchymal ratio (TBR) of the standardized uptake value (SUV) ratios.

Methods: This retrospective analysis utilized prospectively collected data from the multicenter ACRIN 6688 observational trial. It used a dataset of 90 patients from 17 centers with confirmed breast cancer who planned to receive NAC followed by surgery as part of their treatment.

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Background And Purpose: Cervical cancer is the fourth most common cancer and the fourth leading cause of cancer death among women worldwide. Appropriate treatment can reduce mortality rate and improve prognosis, where the choice of appropriate treatment option is closely related to the preoperative staging. In this study, we compared full protocol MRI (including contrast-enhanced images) and modified protocol (including only T2-weighted sequence and DWI + ADC map images) in preoperative cervical cancer staging based on the 2018 Federation of Gynecology and Obstetrics (FIGO) classification system.

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Purpose: Our purpose is to assess the inter-rater agreement between digital mammography (DM) and contrast-enhanced spectral mammography (CESM) in evaluating the Breast Imaging Reporting and Data System (BI-RADS) grading.

Approach: This retrospective study included 326 patients recruited between January 2019 and February 2021. The study protocol was pre-registered on the Open Science Framework platform.

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Objectives: To evaluate the reproducibilities of Response Evaluation Criteria in Solid Tumors (RECIST) and modified RECIST (mRECIST) for hepatocellular carcinoma (HCC) patients treated with transarterial chemoembolization (TACE) using contrast-enhanced computed tomography (CT).

Methods: This retrospective study included 105 consecutive patients with confirmed HCC recruited from November 2002 to June 2012. The study protocol has been pre-registered at ( https://osf.

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This study aimed to develop and internally validate a prognostic prediction model based on MRI, pathological, and clinical findings to predict breast cancer recurrence and death. A retrospective study prediction model was developed using data from 922 breast cancer patients recruited in Duke University Hospital from January 2000 to March 2014. Cox and binary logistic regressions were implemented for hazard score and 2-, 3-, 5-, and 8-year survivals and recurrences.

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Purpose: To assess the performance of Kaiser score (KS) in detecting and characterizing breast cancer on magnetic resonance imaging (MRI).

Methods: The protocol was pre-registered at (https://osf.io/83c6j/).

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Purpose: To evaluate the staging performance of positron emission tomography/magnetic resonance imaging (PET/MRI) for confirmed esophageal cancer based on the TNM classification system as well as compare it to other alternative modalities (e.g., endoscopic ultrasonography (EUS), computed tomography (CT), MRI, and PET/CT) in a full head-to-head manner.

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Purpose: To evaluate and compare lung nodules' image quality and radiation dose exposure using photon-counting computed tomography (PC-CT) and conventional energy-integrating detector computed tomography (EID-CT).

Methods: Protocol pre-registration was performed a priori at (https://osf.io/krj5y/).

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Background: Gallbladder malignancies, especially gallbladder cancer, are aggressive lesions with a poor prognosis, and correct differentiation from benign lesions is crucial for improved outcomes. Recently, diffusion-weighted imaging (DWI) has demonstrated potential for this aim to evaluate suspicious lesions detected by initial imaging (e.g.

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Purpose: To evaluate the diagnostic value of ultrasound elastography (USE) for characterizing hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC).

Methods: The protocol was pre-registered a priori at ( https://osf.io/namvk/ ).

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Purpose: Primary hepatocellular carcinoma (HCC) represents a substantial global health challenge. Early diagnosis of HCC is crucial for improved patient outcomes. The aim of this study was to assess qualitative and quantitative diagnostic performance of PET/CT using C-acetate and [18F]-fluorodeoxyglucose (FDG) in detection of primary HCC and to determine if C-acetate added to [18F]-FDG alleviates the low sensitivity rate mentioned in guidelines.

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Pleural effusion is a very common clinical finding. Quantifying pleural effusion volume and its response to treatment over time has become increasingly important for clinicians, which is currently performed via computed tomography (CT) or drainage. To determine and compare ultrasonography (US), CT, and drainage agreements in pleural effusion volumetry.

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The aim of this study was to quantify the diagnostic value of dual-tracer PET/computed tomography (CT) with 11 C-acetate and fluorodeoxyglucose (FDG) in per-lesion and per-patient and its effect on clinical decision-making for choosing the most appropriate management. The study protocol is registered a priori at https://osf.io/rvm75/ .

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Modeling biological soft tissue is complex in part due to material heterogeneity. Microstructural patterns, which play a major role in defining the mechanical behavior of these tissues, are both challenging to characterize and difficult to simulate. Recently, machine learning (ML)-based methods to predict the mechanical behavior of heterogeneous materials have made it possible to more thoroughly explore the massive input parameter space associated with heterogeneous blocks of material.

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