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Article ; Online: The Evolution of AI in Predicting Response to Minimally Invasive Image-guided Therapies.

Nezami, Nariman / Mirza-Aghazadeh-Attari, Mohammad

Radiology. Imaging cancer

2024 Volume 6, Issue 1, Page(s) e249004

MeSH term(s)	Minimally Invasive Surgical Procedures ; Tomography, X-Ray Computed
Language	English
Publishing date	2024-01-26
Publishing country	United States
Document type	Journal Article
ISSN	2638-616X
ISSN (online)	2638-616X
DOI	10.1148/rycan.249004
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Article: Radiomics Features in Predicting Human Papillomavirus Status in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review, Quality Appraisal, and Meta-Analysis.

Ansari, Golnoosh / Mirza-Aghazadeh-Attari, Mohammad / Mosier, Kristine M / Fakhry, Carole / Yousem, David M

Diagnostics (Basel, Switzerland)

2024 Volume 14, Issue 7

Abstract: We sought to determine the diagnostic accuracy of radiomics features in predicting HPV status in oropharyngeal squamous cell carcinoma (SCC) compared to routine paraclinical measures used in clinical practice. Twenty-six articles were included in the ... ...

Abstract	We sought to determine the diagnostic accuracy of radiomics features in predicting HPV status in oropharyngeal squamous cell carcinoma (SCC) compared to routine paraclinical measures used in clinical practice. Twenty-six articles were included in the systematic review, and thirteen were used for the meta-analysis. The overall sensitivity of the included studies was 0.78, the overall specificity was 0.76, and the overall area under the ROC curve was 0.84. The diagnostic odds ratio (DOR) equaled 12 (8, 17). Subgroup analysis showed no significant difference between radiomics features extracted from CT or MR images. Overall, the studies were of low quality in regard to radiomics quality score, although most had a low risk of bias based on the QUADAS-2 tool. Radiomics features showed good overall sensitivity and specificity in determining HPV status in OPSCC, though the low quality of the included studies poses problems for generalizability.
Language	English
Publishing date	2024-03-29
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics14070737
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Article ; Online: Radiomics Features Extracted From Pre- and Postprocedural Imaging in Early Prediction of Treatment Response in Patients Undergoing Transarterial Radioembolization of Hepatic Lesions: A Systematic Review, Meta-Analysis, and Quality Appraisal Study.

Mirza-Aghazadeh-Attari, Mohammad / Srinivas, Tara / Kamireddy, Arun / Kim, Alan / Weiss, Clifford R

Journal of the American College of Radiology : JACR

2024 Volume 21, Issue 5, Page(s) 740–751

Abstract: Introduction: Transarterial radioembolization (TARE) is one of the most promising therapeutic options for hepatic masses. Radiomics features, which are quantitative numeric features extracted from medical images, are considered to have potential in ... ...

Abstract	Introduction: Transarterial radioembolization (TARE) is one of the most promising therapeutic options for hepatic masses. Radiomics features, which are quantitative numeric features extracted from medical images, are considered to have potential in predicting treatment response in TARE. This article aims to provide meta-analytic evidence and critically appraise the methodology of radiomics studies published in this regard. Methods: A systematic search was performed on PubMed, Scopus, Embase, and Web of Science. All relevant articles were retrieved, and the characteristics of the studies were extracted. The Radiomics Quality Score and Checklist for Evaluation of Radiomics Research were used to assess the methodologic quality of the studies. Pooled sensitivity, specificity, and area under the receiver operating characteristic curve in predicting objective response were determined. Results: The systematic review included 15 studies. The average Radiomics Quality Score of these studies was 11.4 ± 2.1, and the average Checklist for Evaluation of Radiomics Research score was 33± 6.7. There was a notable correlation (correlation coefficient = 0.73) between the two metrics. Adherence to quality measures differed considerably among the studies and even within different components of the same studies. The pooled sensitivity and specificity of the radiomics models in predicting complete or partial response were 83.5% (95% confidence interval 76%-88.9%) and 86.7% (95% confidence interval 78%-92%), respectively. Conclusion: Radiomics models show great potential in predicting treatment response in TARE of hepatic lesions. However, the heterogeneity seen between the methodologic quality of studies may limit the generalizability of the results. Future initiatives should aim to develop radiomics signatures using multiple external datasets and adhere to quality measures in radiomics methodology.
MeSH term(s)	Humans ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/radiotherapy ; Embolization, Therapeutic/methods ; Treatment Outcome ; Radiopharmaceuticals ; Sensitivity and Specificity ; Predictive Value of Tests ; Radiomics
Chemical Substances	Radiopharmaceuticals
Language	English
Publishing date	2024-01-12
Publishing country	United States
Document type	Journal Article ; Systematic Review ; Meta-Analysis ; Review
ZDB-ID	2274861-1
ISSN	1558-349X ; 1546-1440
ISSN (online)	1558-349X
ISSN	1546-1440
DOI	10.1016/j.jacr.2023.12.029
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Article: Nanotechnology-based advances in the efficient delivery of melatonin.

Mirza-Aghazadeh-Attari, Mohammad / Mihanfar, Ainaz / Yousefi, Bahman / Majidinia, Maryam

Cancer cell international

2022 Volume 22, Issue 1, Page(s) 43

Abstract: N-[2-(5-methoxy-1H-indol-3-yl) ethyl] or simply melatonin is a biogenic amine produced by pineal gland and recently recognized various other organs. Because of a broad range of biological function melatonin is considered as a therapeutic agent with high ... ...

Abstract	N-[2-(5-methoxy-1H-indol-3-yl) ethyl] or simply melatonin is a biogenic amine produced by pineal gland and recently recognized various other organs. Because of a broad range of biological function melatonin is considered as a therapeutic agent with high efficacy in the treatment of multiple disorders, such as cancer, degenerative disorders and immune disease. However, since melatonin can affect receptors on the cellular membrane, in the nucleus and can act as an anti-oxidant molecule, some unwanted effects may be observed after administration. Therefore, the entrapment of melatonin in biocompatible, biodegradable and safe nano-delivery systems can prevent its degradation in circulation; decrease its toxicity with increased half-life, enhanced pharmacokinetic profile leading to improved patient compliance. Because of this, nanoparticles have been used to deliver melatonin in multiple studies, and the present article aims to cumulatively illustrate their findings.
Language	English
Publishing date	2022-01-29
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2091573-1
ISSN	1475-2867
ISSN	1475-2867
DOI	10.1186/s12935-022-02472-7
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Article ; Online: Utilization of texture features of volumetric ADC maps in differentiating between serous cystadenoma and intraductal papillary neoplasms.

Ansari, Golnoosh / Mirza-Aghazadeh-Attari, Mohammad / Afyouni, Shadi / Mohseni, Alireza / Shahbazian, Haneyeh / Kamel, Ihab R

Abdominal radiology (New York)

2024 Volume 49, Issue 4, Page(s) 1175–1184

Abstract: Introduction: The rising incidence of incidental detection of pancreatic cystic neoplasms has compelled radiologists to determine new diagnostic methods for the differentiation of various kinds of lesions. We aim to demonstrate the utility of texture ... ...

Abstract	Introduction: The rising incidence of incidental detection of pancreatic cystic neoplasms has compelled radiologists to determine new diagnostic methods for the differentiation of various kinds of lesions. We aim to demonstrate the utility of texture features extracted from ADC maps in differentiating intraductal papillary mucinous neoplasms (IPMN) from serous cystadenomas (SCA). Methods: This retrospective study was performed on 136 patients (IPMN = 87, SCA = 49) split into testing and training datasets. A total of 851 radiomics features were extracted from volumetric contours drawn by an expert radiologist on ADC maps of the lesions. LASSO regression analysis was used to determine the most predictive set of features and a radiomics score was developed based on their respective coefficients. A hyper-optimized support vector machine was then utilized to classify the lesions based on their radiomics score. Results: A total of four Wavelet features (LHL/GLCM/LCM2, HLL/GLCM/LCM2, /LLL/First Order/90percent, /LLL/GLCM/MCC) were selected from all of the features to be included in our classifier. The classifier was optimized by altering hyperparameters and the trained model was applied to the validation dataset. The model achieved a sensitivity of 92.8, specificity of 90%, and an AUC of 0.97 in the training data set, and a sensitivity of 83.3%, specificity of 66.7%, and AUC of 0.90 in the testing dataset. Conclusion: A support vector machine model trained and validated on volumetric texture features extracted from ADC maps showed the possible beneficence of these features in differentiating IPMNs from SCAs. These results are in line with previous regarding the role of ADC maps in classifying cystic lesions and offers new evidence regarding the role of texture features in differentiation of potentially neoplastic and benign lesions.
MeSH term(s)	Humans ; Pancreatic Intraductal Neoplasms ; Cystadenoma, Serous/diagnostic imaging ; Retrospective Studies ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/pathology ; Pancreas/pathology
Language	English
Publishing date	2024-02-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	2839786-1
ISSN	2366-0058 ; 2366-004X
ISSN (online)	2366-0058
ISSN	2366-004X
DOI	10.1007/s00261-024-04187-x
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Zs.A 1262: Show issues

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Article: Expanding spontaneous pneumothorax in COVID-19 pneumonia: Case report and review of literature.

Mohammadi, Afshin / Boroofeh, Behdad / Mohebbi, Alisa / Mirza-Aghazadeh-Attari, Mohammad

Journal of cardiovascular and thoracic research

2021 Volume 13, Issue 3, Page(s) 258–262

Abstract: Coronavirus disease 2019 has presented itself with a variety of clinical signs and symptoms. One of these has been the accordance of spontaneous pneumothorax which in instances has caused rapid deterioration of patients. Furthermore pneumothorax may ... ...

Abstract	Coronavirus disease 2019 has presented itself with a variety of clinical signs and symptoms. One of these has been the accordance of spontaneous pneumothorax which in instances has caused rapid deterioration of patients. Furthermore pneumothorax may happen secondary to intubation and the resulting complications. Not enough is discussed regarding cases with COVID-19 related pneumothorax and proper management of these patients. The present article reports an elderly patient with spontaneous pneumothorax secondary to COVID-19 and reviews the existing literature.
Language	English
Publishing date	2021-02-07
Publishing country	Iran
Document type	Case Reports
ZDB-ID	2654729-6
ISSN	2008-6830 ; 2008-5117
ISSN (online)	2008-6830
ISSN	2008-5117
DOI	10.34172/jcvtr.2021.16
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Article ; Online: An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies.

Abbasian Ardakani, Ali / Mohammadi, Afshin / Mirza-Aghazadeh-Attari, Mohammad / Acharya, U Rajendra

Computers in biology and medicine

2022 Volume 152, Page(s) 106438

Abstract: Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early detection of breast cancer has been shown to be associated with better overall clinical outcomes. Ultrasonography is a vital imaging modality in managing ... ...

Abstract	Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early detection of breast cancer has been shown to be associated with better overall clinical outcomes. Ultrasonography is a vital imaging modality in managing breast lesions. In addition, the development of computer-aided diagnosis (CAD) systems has further enhanced the importance of this imaging modality. Proper development of robust and reproducible CAD systems depends on the inclusion of different data from different populations and centers to considerate all variations in breast cancer pathology and minimize confounding factors. The current database contains ultrasound images and radiologist-defined masks of two sets of histologically proven benign and malignant lesions. Using this and similar pieces of data can aid in the development of robust CAD systems.
MeSH term(s)	Humans ; Female ; Artificial Intelligence ; Ultrasonography ; Breast Neoplasms/diagnostic imaging ; Diagnosis, Computer-Assisted ; Databases, Factual ; Ultrasonography, Mammary/methods
Language	English
Publishing date	2022-12-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2022.106438
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Zs.A 653: Show issues

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Article ; Online: Diffuse infiltrative hepatocellular carcinoma: Multimodality imaging manifestations.

Madani, Seyedeh Panid / Mirza-Aghazadeh-Attari, Mohammad / Mohseni, Alireza / Pawlik, Timothy / Kamel, Ihab R

Journal of surgical oncology

2022 Volume 127, Issue 3, Page(s) 385–393

Abstract: Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, being the third most common cause of cancer-related death globally. HCC most frequently develops in the context of hepatic cirrhosis. HCC can manifest as various morphologic ... ...

Abstract	Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, being the third most common cause of cancer-related death globally. HCC most frequently develops in the context of hepatic cirrhosis. HCC can manifest as various morphologic subtypes. Each pattern exhibits distinct behaviors in terms of imaging features, disease progression, response to therapy, and prognosis. While the nodular pattern is the most frequent subtype, infiltrative HCC is the least prevalent and makes up about 8%-20% of all HCC cases. Infiltrative HCC manifests as small tumor nodules that often spread across the entire liver or across a hepatic segment/lobe and is not identified as a focal tumor. On ultrasonography, infiltrative HCC presents as a markedly heterogeneous area with ill-defined echotexture, making it difficult to distinguish from background hepatic cirrhosis. On magnetic resonance imaging (MRI), infiltrating HCC typically manifests as a mild, poorly defined hepatic region with heterogeneous or homogenous aberrant signal intensity. Specifically, on T1-weighted MRI scans, infiltrating HCC frequently appears as largely hypointense and typically homogenous and mildly to moderately hyperintense on T2-weighted imaging. Infiltrative HCC frequently lacks a clearly defined boundary on cross-sectional imaging and can consequently fade into the background of the cirrhotic liver. As a result, infiltrating HCC is frequently not discovered until an advanced stage and has an associated poor prognosis. Thus, understanding imaging features associated with infiltrative HCC diagnosis is crucial for abdominal radiologists to ensure effective and timely care. We herein review imaging characteristics of infiltrative HCC.
MeSH term(s)	Humans ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/pathology ; Magnetic Resonance Imaging/methods ; Liver Cirrhosis/diagnostic imaging ; Liver Cirrhosis/pathology ; Contrast Media
Chemical Substances	Contrast Media
Language	English
Publishing date	2022-11-14
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	82063-5
ISSN	1096-9098 ; 0022-4790
ISSN (online)	1096-9098
ISSN	0022-4790
DOI	10.1002/jso.27138
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Zs.A 706: Show issues

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Article ; Online: Multimodality imaging of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.

Shahbazian, Haneyeh / Mirza-Aghazadeh-Attari, Mohammad / Borhani, Ali / Mohseni, Alireza / Madani, Seyedeh Panid / Ansari, Golnoosh / Pawlik, Timothy M / Kamel, Ihab R

Journal of surgical oncology

2023 Volume 128, Issue 4, Page(s) 519–530

Abstract: Hepatocellular carcinoma and intrahepatic cholangiocarcinoma are the two most common primary malignant tumors of the liver. The similarities and variations in imaging characteristics that may aid in distinguishing between these two primary tumors will be ...

Abstract	Hepatocellular carcinoma and intrahepatic cholangiocarcinoma are the two most common primary malignant tumors of the liver. The similarities and variations in imaging characteristics that may aid in distinguishing between these two primary tumors will be discussed and outlined in this review. Knowledge of imaging techniques that are currently available would assist in the differentiation between these primary malignancies.
MeSH term(s)	Humans ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Cholangiocarcinoma/diagnostic imaging ; Cholangiocarcinoma/pathology ; Bile Duct Neoplasms/diagnostic imaging ; Bile Duct Neoplasms/pathology ; Bile Ducts, Intrahepatic/diagnostic imaging ; Bile Ducts, Intrahepatic/pathology ; Magnetic Resonance Imaging/methods
Language	English
Publishing date	2023-07-13
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	82063-5
ISSN	1096-9098 ; 0022-4790
ISSN (online)	1096-9098
ISSN	0022-4790
DOI	10.1002/jso.27396
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Zs.A 706: Show issues

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Article ; Online: Pervasiveness of Open Journal Invitations Across Radiology Specialties.

Ansari, Golnoosh / Khan, Majid / Weinstein, Susan P / Conant, Emily F / Mirza-Aghazadeh-Attari, Mohammad / Yousem, David M

Current problems in diagnostic radiology

2023 Volume 52, Issue 5, Page(s) 387–392

Abstract: This study examines the patterns of faculty solicitations by open-access (OA) publishers in radiology. The purpose of the research is to determine the factors that predict the likelihood of receiving such solicitations. We recruited 6 faculty members ... ...

Abstract	This study examines the patterns of faculty solicitations by open-access (OA) publishers in radiology. The purpose of the research is to determine the factors that predict the likelihood of receiving such solicitations. We recruited 6 faculty members from 7 subspecialties in radiology to collect emails from OA journals for 2 weeks. We assessed the number of publications by each faculty member in 2022 and 2023, the previous 5 years, and entire career in PubMed. For each email, the solicitation was categorized for article submission, article review, and editorial board membership. An invitation to submit a manuscript was the most common type of solicitation received, followed by editorial boards and reviewer invites. Faculty with more than 10 indexed articles in PubMed since January 2022 were significantly more likely to receive article solicitations than those with 10 or fewer publications. Additionally, scholars with more than 40 articles since 2018 were significantly more likely to receive more than 10 article solicitations. Full professors were significantly more likely to receive solicitations to serve on editorial boards. A multivariate linear regression model predicted that publications since 2022 had the highest predictive value for the number of article solicitations and total solicitations. This study provides insight into the patterns of mass communication and various solicitations by OA publishers in radiology. The study highlights the importance of publication productivity as a predictor of article and total email solicitations and of professorial rank for editorial board invitations.
MeSH term(s)	Humans ; Publishing ; Radiology ; Faculty ; Communication ; Efficiency
Language	English
Publishing date	2023-04-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	198954-6
ISSN	1535-6302 ; 0363-0188
ISSN (online)	1535-6302
ISSN	0363-0188
DOI	10.1067/j.cpradiol.2023.04.002
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