Article
Oncology
Alistair D. R. Grey, Rebecca Scott, Bina Shah, Peter Acher, Sidath Liyanage, Menelaos Pavlou, Rumana Omar, Frank Chinegwundoh, Prasad Patki, Taimur T. Shah, Sami Hamid, Maneesh Ghei, Kayleigh Gilbert, Diane Campbell, Chris Brew-Graves, Nimalan Arumainayagam, Alex Chapman, Laura McLeavy, Angeliki Karatziou, Zayneb Alsaadi, Tom Collins, Alex Freeman, David Eldred-Evans, Mariana Bertoncelli-Tanaka, Henry Tam, Navin Ramachandran, Sanjeev Madaan, Mathias Winkler, Manit Arya, Mark Emberton, Hashim U. Ahmed
Summary: Multiparametric ultrasound has slightly lower ability to detect clinically significant prostate cancer compared to multiparametric MRI, but it would result in more patients being referred for a biopsy. For patients at risk of prostate cancer who cannot undergo multiparametric MRI, multiparametric ultrasound can be considered as the first test.
Article
Urology & Nephrology
Luke P. O'Connor, Amir H. Lebastchi, Rahim Horuz, Ardeshir R. Rastinehad, M. Minhaj Siddiqui, Jeremy Grummet, Christof Kastner, Hashim U. Ahmed, Peter A. Pinto, Baris Turkbey
Summary: Multiparametric MRI plays a crucial role in the management of prostate cancer, addressing the limitations of traditional biopsy methods and improving the detection and characterization of high-risk cancers while reducing the diagnosis of clinically insignificant diseases. It also helps in selecting patients for active surveillance and treatment planning.
WORLD JOURNAL OF UROLOGY
(2021)
Review
Biology
Roxana Iacob, Emil-Robert Stoicescu, Simona Cerbu, Diana-Luminita Manolescu, Razvan Bardan, Alin Cumpanas
Summary: This study compares the role of biparametric MRI (bpMRI) to multiparametric MRI (mpMRI) in the management of prostate cancer (PCa). The results show that bpMRI has similar accuracy as mpMRI in PCa diagnosis, but is less suitable for other steps of tumor management, with several disadvantages.
Article
Medicine, General & Internal
Fabio Zattoni, Silvio Maresca, Fabrizio Dal Moro, Iliana Bednarova, Gianmarco Randazzo, Giovanni Basso, Giuseppe Reitano, Gianluca Giannarini, Chiara Zuiani, Rossano Girometti
Summary: The aim of this study was to compare the diagnostic accuracy of full multiparametric contrast-enhanced prostate MRI (mpMRI) and abbreviated dual-sequence prostate MRI (dsMRI) in men with clinically significant prostate cancer (csPCa) who were candidates for active surveillance. The results showed that both dsMRI and mpMRI had similar diagnostic accuracy for csPCa. Therefore, dsMRI can be considered as an effective method for evaluating the patients' condition.
Article
Engineering, Biomedical
Lijie Wen, Simiao Wang, Xianwei Pan, Yunan Liu
Summary: This study introduces a new CNN-based framework, iPCa-Net, to predict incidental prostate cancer (iPCa) by analyzing prostatic MRIs. Experimental results demonstrate the superior performance of iPCa-Net in both prostate transition zone segmentation and iPCa prediction tasks compared to state-of-the-art methods.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2023)
Article
Oncology
Martin Sjostrom, Shuang G. Zhao, Samuel Levy, Meng Zhang, Yuhong Ning, Raunak Shrestha, Arian Lundberg, Cameron Herberts, Adam Foye, Rahul Aggarwal, Junjie T. Hua, Haolong Li, Anna Bergamaschi, Corinne Maurice-Dror, Ashutosh Maheshwari, Sujun Chen, Sarah W. S. Ng, Wenbin Ye, Jessica Petricca, Michael Fraser, Lisa Chesner, Marc D. Perry, Thaidy Moreno-Rodriguez, William S. Chen, Joshi J. Alumkal, Jonathan Chou, Alicia K. Morgans, Tomasz M. Beer, George Thomas, Martin Gleave, Paul Lloyd, Tierney Phillips, Erin McCarthy, Michael C. Haffner, Amina Zoubeidi, Matti Annala, Robert E. Reiter, Matthew B. Rettig, Owen N. Witte, Lawrence Fong, Rohit Bose, Franklin W. Huang, Jianhua Luo, Anders Bjartell, Joshua M. Lang, Nupam P. Mahajan, Primo N. Lara, Christopher P. Evans, Phuoc T. Tran, Edwin M. Posadas, Chuan He, Xiao-Long Cui, Jiaoti Huang, Wilbert Zwart, Luke A. Gilbert, Christopher A. Maher, Paul C. Boutros, Kim N. Chi, Alan Ashworth, Eric J. Small, Housheng H. He, Alexander W. Wyatt, David A. Quigley, Felix Y. Feng
Summary: This study integrates whole-genome 5hmC, DNA, 5mC, and transcriptome sequencing to investigate prostate cancer. The results show that 5hmC marks activation of cancer drivers and downstream targets, and reveal altered cell states throughout the disease course. Additionally, 5hmC sequencing of cell-free DNA proves useful as a prognostic biomarker for identifying an aggressive subtype of prostate cancer.
Article
Oncology
Aradhana M. Venkatesan, Eniola Mudairu-Dawodu, Cihan Duran, R. Jason Stafford, Yuanqing Yan, Wei Wei, Vikas Kundra
Summary: The study found that the utility of mpMRI in detecting suspected local recurrence post RP is associated with PSA and Gleason grade. In patients with lower Gleason grade and low PSA, mpMRI results are likely to be negative; while in patients with higher Gleason grade and high PSA, mpMRI results are likely to be positive. This can help guide further diagnostic and treatment decisions in patients with suspected recurrence.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jonathan M. Gan, Elias G. Kikano, Daniel A. Smith, Sanjay Rao, Ruchika Podury, Margaret Wang, Jared C. Durieux, Raj M. Paspulati, Lee Ponsky, Nikhil H. Ramaiya, Sree H. Tirumani
Summary: This study compared the frequency of clinically significant prostate cancer (csPCa) after negative prebiopsy biparametric MRI (bpMRI) and multiparametric MRI (mpMRI) and found no significant difference between the two. PSA density (PSAD) had a similar diagnostic utility for csPCa in both cohorts. Therefore, both bpMRI and mpMRI, in combination with PSAD measurement, can help avoid negative prostate biopsies.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Article
Oncology
Aleksandar Georgiev, Lyubomir Chervenkov, Mladen Doykov, Katya Doykova, Petar Uchikov, Silvia Tsvetkova
Summary: Prostate cancer is a common oncological disease in males, and early detection is crucial for better outcomes. This study explores the value of magnetic resonance imaging sequences, particularly the apparent diffusion coefficient (ADC), for prostate cancer detection and surveillance. The findings suggest that ADC is the most specific and sensitive sequence, supporting its inclusion in routine scanning protocols for prostate cancer.
Article
Urology & Nephrology
Jiri Stejskal, Vanda Adamcova, Miroslav Zalesky, Vojtech Novak, Otakar Capoun, Vojtech Fiala, Olga Dolejsova, Hana Sedlackova, Stepan Vesely, Roman Zachoval
Summary: The study compared the use of Prostate Health Index (PHI) in diagnosing clinically significant prostate cancer, showing higher accuracy compared to total PSA, PSAD, and PIRADS, especially in patients with a history of previous negative biopsies.
WORLD JOURNAL OF UROLOGY
(2021)
Article
Oncology
Russell K. Pachynski, Eric H. Kim, Natalia Miheecheva, Nikita Kotlov, Akshaya Ramachandran, Ekaterina Postovalova, Ilia Galkin, Viktor Svekolkin, Yang Lyu, Qiong Zou, Dengfeng Cao, Joseph Gaut, Joseph E. Ippolito, Alexander Bagaev, Maria Bruttan, Olga Gancharova, Krystle Nomie, Maria Tsiper, Gerald L. Andriole, Ravshan Ataullakhanov, James J. Hsieh
Summary: The study identified distinct molecular, cellular, and structural characteristics associated with mpMRI-visible csPCa, while mpMRI-invisible tumors were similar to normal prostate tissue. Immune profiles did not significantly differ between mpMRI-visible and mpMRI-invisible prostate cancer in the patient cohort, but a 24-gene stromal signature enriched in mpMRI-invisible prostate cancer was identified. Prostate cancer with strong stromal signature exhibited a favorable survival outcome within the patient cohort.
CLINICAL CANCER RESEARCH
(2021)
Article
Oncology
William G. Breen, Bradley J. Stish, William S. Harmsen, Adam T. Froemming, Lance A. Mynderse, C. Richard Choo, Brian J. Davis, Thomas M. Pisansky
Summary: Pelvic MRI prior to salvage radiation therapy (SRT) for biochemically recurrent prostate cancer following radical prostatectomy showed a sensitivity of 61% and specificity of 58.7% for detecting local recurrence. Positive or indeterminate MRI findings were associated with improved biochemical control post-SRT.
RADIOTHERAPY AND ONCOLOGY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Aileen O'Shea, Mukesh Harisinghani
Summary: Multiparametric MRI of the prostate gland has become the standard evaluation for biopsy naive men with a clinical suspicion for prostate cancer. PI-RADS 2.1 is an initiative and framework that aims to standardize prostate MRI technique and interpretation, providing key updates and important clarifications.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2022)
Article
Oncology
Daniele Corradini, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa, Daniel Remondini
Summary: Prostate Cancer is a significant threat to men's health, and accurate diagnosis is crucial for proper treatment. Artificial Intelligence models can assist radiologists in assessing tumor aggressiveness, but require high-quality images to avoid overfitting. Efforts have been made to standardize the evaluation of multiparametric MRI images to detect prostate cancer, with PI-RADS contributing notably, yet facing limitations in inter-reader reproducibility.
Article
Radiology, Nuclear Medicine & Medical Imaging
Nicolai Alexander Huebner, Stephan Korn, Irene Resch, Bernhard Grubmueller, Tobias Gross, Robert Gale, Gero Kramer, Nina Poetsch, Paola Clauser, Andrea Haitel, Harun Fajkovic, Shahrokh F. Shariat, Pascal A. Baltzer
Summary: The visibility of clinically significant prostate cancer lesions is improved by using mpMRI, with additional enhancement from DCE and DWI images. Factors such as lesion size and location also influence visibility. Further research into the impact of DCE on clinical decision-making is recommended.
EUROPEAN RADIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Yusuf Artan, Aytekin Oto, Imam Samil Yetik
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2013)
Article
Computer Science, Information Systems
Yusuf Artan, Imam Samil Yetik
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
(2012)
Article
Engineering, Electrical & Electronic
Sedat Camlica, Imam Samil Yetik, Orhan Arikan
DIGITAL SIGNAL PROCESSING
(2019)
Article
Engineering, Aerospace
Harun Taha Hayvaci, Handan Ilbegi, Imam Samil Yetik
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2020)
Article
Engineering, Aerospace
Harun Taha Hayvaci, Maryam Shahi, Handan Ilbegi, Imam Samil Yetik
Summary: This article proposes a new method to classify electronic devices using harmonic radar by exploiting the nonlinear reradiation of electronic circuits under test. A linear model is developed to relate the measurements to unknown parameters representing the nonlinear characteristics of the ECUT, and maximum likelihood estimator is used in the presence of complex white Gaussian noise. The statistical features of the estimated vectors of parameters are employed for classification using the K-nearest neighbors method, and simulation results show successful classification of nonlinear devices.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Environmental Sciences
Handan Ilbegi, Halil Ibrahim Turan, Imam Samil Yetik, Harun Taha Hayvaci
Summary: This paper proposes a new method using Frequency-Swept Harmonic Radar (FSHR) approach to classify electronic devices. By analyzing and extracting the harmonic response of electronic circuits, the method enables classification and visualization of the devices in 3D space.
Article
Computer Science, Artificial Intelligence
Murat Avsar, Imam Samil Yetik
Summary: Laser hair removal is a widely used method to permanently remove hair by thermally damaging the hair follicle. However, current methods have health risks as they affect the outer skin layers. This study proposes a way to overcome these risks by automatically guiding the laser beam to localized hair regions, showing promising results for guided laser hair removal.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2021)
Proceedings Paper
Instruments & Instrumentation
Cagla Sahin, Imam Samil Yetik
PROCEEDINGS OF THE 2020 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Maryam Shahi, Handan Ilbegi, Imam Samil Yetik, Harun Taha Hayvaci
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA)
(2019)
Proceedings Paper
Biophysics
Melih Cavusculu, Imam Samil Yetik, Mete Yeginer
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2017)
Proceedings Paper
Biophysics
Sercan Cayir, Imam Samil Yetik
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
H. Ilbegi, H. T. Hayvaci, I. S. Yetik
2017 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Handan Ilbegi, Harun Taha Hayvaci, Imam Samil Yetik, Asim Egemen Yilmaz
2017 IEEE RADAR CONFERENCE (RADARCONF)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Ismail Karakaya, Imam Samil Yetik
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)
(2016)
Proceedings Paper
Engineering, Biomedical
Murat Avsar, Imam Samil Yetik
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
(2015)