Article
Urology & Nephrology
Ahmet Sahan, Erdinc Dincer, Orkunt Ozkaptan, Alkan Cubuk, Kasim Ertas, Bilal Eryildirim, Oktay Akca
Summary: The study found that patients with anterior calyceal stones had higher rates of residual stones, requiring multiple accesses, longer operation times, and greater decreases in hemoglobin levels during surgery.
MINERVA UROLOGY AND NEPHROLOGY
(2021)
Article
Urology & Nephrology
Jonathan D. Harper, James E. Lingeman, Robert M. Sweet, Ian S. Metzler, Peter L. Sunaryo, James C. Williams, Adam D. Maxwell, Jeff Thiel, Bryan W. Cunitz, Barbrina Dunmire, Michael R. Bailey, Mathew D. Sorensen
Summary: This study reported the stone comminution using burst wave lithotripsy in 19 human subjects, and the results showed high stone fragmentation rate with minor tissue injury.
JOURNAL OF UROLOGY
(2022)
Article
Urology & Nephrology
Wen Zhong, Jiandong Xu, Giorgio Mazzon, Zexian Zheng, Yafang Maolei, Zhifeng LI, Guohua Zeng
Summary: This study aimed to develop and validate the Chinese version of the Wisconsin Stone Quality of Life (WISQOL) questionnaire for patients with kidney stones. The WISQOL was translated into Chinese and analyzed for internal consistency, inter-domain correlation, and convergent validity. The Chinese version of WISQOL was found to be a reliable tool for evaluating the health-related quality of life in Chinese-speaking patients with kidney stones.
MINERVA UROLOGY AND NEPHROLOGY
(2023)
Article
Urology & Nephrology
Dong Soo Kim, Sung Kyoung Moon, Sang Hyub Lee
Summary: This study aimed to predict the success of kidney stone dusting during retrograde intrarenal surgery by measuring stone density parameters and histograms. Successfully dusted stones had wider HU range and higher standard deviation, with histograms showing a wide and rugged pattern.
WORLD JOURNAL OF UROLOGY
(2021)
Article
Urology & Nephrology
Amelia Pietropaolo, Virginia Massella, Francesco Ripa, Mriganka Mani Sinha, Bhaskar K. Somani
Summary: The use of high-power lasers for stone lasertripsy has shown to be a successful and safe technique for treating large, bilateral, or multiple stones, with low rates of retreatment and complications.
WORLD JOURNAL OF UROLOGY
(2023)
Review
Pharmacology & Pharmacy
Qingxia Jia, Ziye Huang, Guang Wang, Xia Sun, Yuyun Wu, Bowei Yang, Tongxin Yang, Jianhe Liu, Pei Li, Jiongming Li
Summary: The study highlights the important role of osteopontin in the formation of kidney stones and suggests it may be a crucial target for drug therapy of kidney stones.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Urology & Nephrology
Reza Falahatkar, Tamkin Shahraki, Siavash Falahatkar, Samaneh Esmaeili, Parham Mashouf
Summary: The study showed that outcomes of complete supine percutaneous nephrolithotomy (csPCNL) for staghorn stones and multiple large non-staghorn stones were similar, indicating that surgeons could consider csPCNL as a treatment option for both types of stones.
WORLD JOURNAL OF UROLOGY
(2021)
Article
Urology & Nephrology
Connor M. Forbes, Allison B. McCoy, Ryan S. Hsi
Summary: The study found significant differences between clinician estimated kidney stone recurrence risk and nomogram predictions, with most clinicians not using nomograms in practice. Therefore, clinical decision support tools are needed to help clinicians better estimate stone recurrence risk.
JOURNAL OF ENDOUROLOGY
(2021)
Article
Medicine, Research & Experimental
Mario Basulto-Martinez, Barbara Pena-Espinoza, Rafael Valdez-Ortiz, Rachel Escalante-Sosa, Juan Pablo Flores-Tapia, Marta Menjivar
Summary: Common metabolic abnormalities in urinary stone patients in the Maya region of Mexico include hypocitraturia, hypercalciuria, hypomagnesuria, hyperoxaluria, and hyperuricosuria. Interestingly, a deficiency of inhibitors such as citrate and magnesium is highly prevalent and may be influenced by other metabolic conditions and malnutrition.
ARCHIVES OF MEDICAL RESEARCH
(2022)
Article
Medicine, General & Internal
Amelia Pietropaolo, Thomas Hughes, Mriganka Mani, Bhaskar Somani
Summary: Comparing the outcomes of URSL for Moses technology 60W laser system and regular Holmium 20W laser cases, it was found that the use of Moses technology with higher power significantly reduced operative time and the number of patients needing a second procedure, with fewer infection-related complications.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Urology & Nephrology
Alexander J. Hill, Spyridon P. Basourakos, Patrick Lewicki, Xian Wu, Camilo Arenas-Gallo, Debby Chuang, Donald Bodner, Irina Jaeger, Amihay Nevo, Michael Zell, Sarah C. Markt, Brian H. Eisner, Jonathan E. Shoag
Summary: This study assessed the incidence of kidney stones in the United States using national representative data. The 12-month incidence of kidney stones was found to be substantially higher than previous reports, with significant relationships identified between stone incidence and age, body mass index, race, and history of hypertension.
JOURNAL OF UROLOGY
(2022)
Article
Urology & Nephrology
Hsin-Hsiao Scott Wang, John Panagides, Dylan Cahill, Clement Bottino, Erinn T. Rhodes, Eric Fleegler, Bartley G. Cilento, Michael P. Kurtz, Michelle Baum, Caleb P. Nelson
Summary: This study analyzed the dietary information of pediatric urolithiasis patients and healthy controls and found that higher dietary intake of sodium, calcium, and beta carotene were associated with pediatric urolithiasis, while lower potassium intake had a smaller correlation.
JOURNAL OF UROLOGY
(2022)
Article
Urology & Nephrology
Roi Bar, Efrat Ben-Shalom, Mordechai Duvdevani, Ruth Belostotsky, Martin R. Pollak, David B. Mount, Ruth Bar-Gal, Ehud Gnessin, Shay Tzur, Gary C. Curhan, Yaacov Frishberg
Summary: The study found that mutations in the HOGA1 gene do not confer a dominant phenotype of calcium-oxalate kidney stone disease or hyperoxaluria, based on research conducted on Ashkenazi Jews and non-Ashkenazi individuals.
JOURNAL OF UROLOGY
(2021)
Article
Engineering, Chemical
Jose D. Gutierrez-Cano, Jose M. Catala-Civera, Felipe L. Penaranda-Foix, Pedro J. Plaza-Gonzalez
Summary: Accurate determination of permittivity is crucial for developing new food processing technologies at radio frequencies. An improved measurement test fixture based on an open-ended coaxial probe was developed to determine the permittivity of lossy food products at radio frequencies as a function of temperature. The study found that ionic content and temperature had a limited influence on the dielectric constant but highly determined the loss factor.
JOURNAL OF FOOD ENGINEERING
(2022)
Article
Engineering, Biomedical
Guofang Xu, Henghui Liu, Qiang Huang, Xuefei Yu, Xiang Nan, Jijun Han
Summary: The open-ended coaxial probe method is commonly used to measure the dielectric properties of biological tissues and can be used to detect skin cancer in the early stage. This study provides a comprehensive examination of the method and determines the minimum detectable tumor size for different subtypes of skin cancer through simulation.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2023)
Article
Biology
D. Duzgun Ergun, N. Pastaci Ozsobaci, T. Yilmaz, D. Ozcelik, M. T. Kalkan
Summary: As the use of mobile phones becomes more widespread, concerns about their impact on human health are growing. A study has found that the electromagnetic field (EMF) emitted by mobile phones may have negative effects on biological systems. This study investigates the effect of 2100 MHz EMF exposure on cancer fibroblast cells and explores the potential of zinc supplementation to mitigate these effects, finding that EMF exposure increases NF-kappa B and DNMT activities, while zinc supplementation reduces them.
ELECTROMAGNETIC BIOLOGY AND MEDICINE
(2022)
Article
Chemistry, Analytical
Cemanur Aydinalp, Sulayman Joof, Ismail Dilman, Ibrahim Akduman, Tuba Yilmaz
Summary: The open-ended coaxial probe (OECP) method is frequently used for microwave dielectric property (DP) characterization of high permittivity and conductivity materials. However, the method suffers from high measurement error, with tissue heterogeneity being a major contributor. It has been found that using probes with smaller aperture sizes can increase measurement accuracy.
Article
Multidisciplinary Sciences
Emre Onemli, Sulayman Joof, Cemanur Aydinalp, Nural Pastaci Ozsobaci, Fatma Ates Alkan, Nuray Kepil, Islem Rekik, Ibrahim Akduman, Tuba Yilmaz
Summary: Mammary carcinoma, or breast cancer, is the most common cancer type among women. Researchers are investigating potential new technologies for its diagnosis and treatment. One promising technique is using microwave applications to differentiate between malignant and normal tissues based on their dielectric properties. However, the current measurement technique is not accurate enough, so a new method is needed for confident detection of anomalies. This study proposes a classification method for rat mammary carcinoma based on large-scale in vivo S-11 measurements and corresponding tissue dielectric properties. Using a learning-based linear classifier, the tissues were classified with high accuracy, achieving an 86.92% accuracy when using the most discriminative S-11 measurement. These findings suggest that a narrow band microwave circuitry can support a low-cost automated microwave diagnostic system.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Cemanur Aydinalp, Sulayman Joof, Mehmet Nuri Akinci, Ibrahim Akduman, Tuba Yilmaz
Summary: This work presents a technique for retrieving dielectric properties using reconstructed Debye parameters from the response of an open-ended coaxial probe. The technique involves applying a deep learning model to calculate the Debye parameters based on the reflection coefficient response of the probe. The results show that the technique achieves high accuracy in dielectric property retrieval, as validated by comparison with literature data.
Article
Environmental Sciences
D. Toprak, T. Yilmaz, D. Ucar
Summary: The effects of adding trace elements on biogas and biomethane production in an anaerobic reactor treating paper industry wastewater were studied. Optimum concentrations of Fe, Cu, Ni, Co, and Mg were determined. The results showed that adding trace elements significantly increased biogas and biomethane production. Additionally, reactors with trace elements added exhibited higher daily gas production and biomethane production compared to the control group.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Egemen Bilgin, Mehmet Cayoren, Sulayman Joof, Gokhan Cansiz, Tuba Yilmaz, Ibrahim Akduman
Summary: This study presents a prototype for microwave imaging of breast cancer, which aims to project the geometrical features of anomalies inside the breast to a single-slice image at the coronal plane for diagnosis.
Article
Chemistry, Analytical
Gulsah Yildiz, Halimcan Yasar, Ibrahim Enes Uslu, Yusuf Demirel, Mehmet Nuri Akinci, Tuba Yilmaz, Ibrahim Akduman
Summary: This paper proposes an antenna excitation optimization scheme applicable to various configurations and investigates it using CNN-based approaches. The results demonstrate that this method outperforms traditional lookup table methods. The proposed deep-learning-based optimization technique holds great application potential in microwave hyperthermia.
Article
Engineering, Electrical & Electronic
Aysa Jafarifarmand, Tuba Yilmaz, Ibrahim Akduman
Summary: Using artificial neural networks (NNs) in microwave medical diagnosis has shown promising results in various areas such as early breast cancer detection, brain stroke, and leukemia monitoring. However, the use of large input data highlights the importance of optimizing the number of antennas and frequency of operation to improve the performance of NN-based medical diagnosis.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Computer Science, Information Systems
Semih Dogu, Hulusi Onal, Tuba Yilmaz, Ibrahim Akduman, Mehmet Nuri Akinci
Summary: This paper analyzes a qualitative imaging method called singular source method (SSM) for two-dimensional transverse magnetic electromagnetic (2D-TM EM) inverse scattering scenarios. The contributions of the paper are summarized as follows: (i) Extending the SSM from the far-field scenario to the near-field and inhomogeneous background setup, with each step explained using linearity and reciprocity principles to provide physical insights. (ii) Deriving the relation between the electrical parameters of the scatterers and the SSM indicator. (iii) Testing the proposed method on a realistic breast model for monitoring hyperthermia treatment problems, and obtaining results that demonstrate the SSM's ability to handle realistic breast phantoms.
Article
Environmental Sciences
T. Yilmaz, M. Yildiz, C. S. Arzum Yapici, H. U. Annak, D. Ucar
Summary: In this study, sulfidogenic up flow anaerobic reactors were used to treat textile wastewater, and Remazol Brilliant Violet 5R was used as a model dyestuff. The results showed that the reactors could efficiently remove the dye, but an increase in dye concentration resulted in a decrease in sulfate reduction and COD oxidation. Batch reactors demonstrated that biogenic sulfide produced in sulfate reduction could degrade Remazol Brilliant Violet 5R, and the presence of microorganisms increased the reduction rate.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Urology & Nephrology
Oktay Ozman, Onder Cinar, Hakan Cakir, Cem Basatac, Haci Murat Akgul, Muhammet Demirbilek, Eyup Burak Sancak, Cenk Murat Yazici, Barbaros Baseskioglu, Bulent Onal, Haluk Akpinar
Summary: This study aimed to compare the outcomes of retrograde intrarenal surgery (RIRS) between cases that continued sheathless after a failed ureteral access sheath (UAS) insertion and cases that were planned and completed sheathless. After propensity score matching, the stone-free rate and postoperative complication rate were significantly higher in the cases that planned and completed sheathless RIRS.
JOURNAL OF ENDOUROLOGY
(2023)
Article
Medicine, General & Internal
Mehmet Hamza Guktekin, Goktug Kalender, Kadir Can Sahin, Sami Berk Ozden, Ilker Inanc Balkan, Muhammed Fatih Simsekoglu, Bulent Onal, Ahmet Erozenci
Summary: The aim of this study was to compare the effectiveness of two drugs in preventing infectious complications after prostate biopsy. The results showed that, when used for prophylaxis, patients receiving FT had significantly lower risks of developing lower urinary tract symptoms, having positive urine cultures, and requiring hospitalization for antibiotic treatment compared to patients receiving CIP.
HASEKI TIP BULTENI-MEDICAL BULLETIN OF HASEKI
(2023)
Article
Chemistry, Analytical
Gulsah Yildiz, Iman Farhat, Lourdes Farrugia, Julian Bonello, Kristian Zarb-Adami, Charles V. Sammut, Tuba Yilmaz, Ibrahim Akduman
Summary: This study investigates the potential of using fractal octagonal ring antenna elements for breast tumor hyperthermia therapy at 2.45 GHz. Simulation and optimization of antenna excitation parameters are performed to obtain the specific absorption rate distributions for different antenna array designs. The results show that the dipole fractal octagonal ring antenna array has superior performance and feasibility in microwave hyperthermia for breast tumors.
Article
Computer Science, Information Systems
Hulusi Onal, Tuba Yilmaz, Mehmet Nuri Akinci
Summary: Microwave hyperthermia (MH) treatment is a promising method for breast cancer, which can induce cell necrosis in malignant tumor or enhance the effect of chemotherapy. This paper presents an iterative differential microwave imaging algorithm for temperature monitoring based on Born iterative method (BIM) and Tikhonov regularization. The algorithm's feasibility is demonstrated through a large computational study using realistic digital breast phantoms. The results show that the proposed approach provides high resolution temperature estimation with low reconstruction error.
Article
Radiology, Nuclear Medicine & Medical Imaging
Kaan Akcay, Ali Kibar, Onur Erdem Sahin, Muhammet Demirbilek, Gamze Beydagi, Sertac Asa, Fuad Aghazada, Turkay Toklu, Nalan Alan Selcuk, Bulent Onal, Levent Kabasakal
Summary: The study retrospectively reviewed 147 patient records and found that [(68) Ga]Ga-PSMA-11 PET/CT imaging has potential value in diagnosing clinically significant prostate cancer. PRIMARY scoring was more reliable than PIRADS scoring in diagnosing significant prostate cancer.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Biology
Seyyed Bahram Borgheai, Alyssa Hillary Zisk, John McLinden, James Mcintyre, Reza Sadjadi, Yalda Shahriari
Summary: This study proposed a novel personalized scheme using fNIRS and EEG as the main tools to predict and compensate for the variability in BCI systems, especially for individuals with severe motor deficits. By establishing predictive models, it was found that there were significant associations between the predicted performances and the actual performances.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Hongliang Guo, Hanbo Liu, Ahong Zhu, Mingyang Li, Helong Yu, Yun Zhu, Xiaoxiao Chen, Yujia Xu, Lianxing Gao, Qiongying Zhang, Yangping Shentu
Summary: In this paper, a BDSMA-based image segmentation method is proposed, which improves the limitations of the original algorithm by combining SMA with DE and introducing a cooperative mixing model. The experimental results demonstrate the superiority of this method in terms of convergence speed and precision compared to other methods, and its successful application to brain tumor medical images.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Jingfei Hu, Linwei Qiu, Hua Wang, Jicong Zhang
Summary: This study proposes a novel semi-supervised point consistency network (SPC-Net) for retinal artery/vein (A/V) classification, addressing the challenges of specific tubular structures and limited well-labeled data in CNN-based approaches. The SPC-Net combines an AVC module and an MPC module, and introduces point set representations and consistency regularization to improve the accuracy of A/V classification.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
Summary: This study introduces a novel hybrid model called ConTraNet, which combines the strengths of CNN and Transformer neural networks, and achieves significant improvement in classification performance with limited training data.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Juan Antonio Valera-Calero, Dario Lopez-Zanoni, Sandra Sanchez-Jorge, Cesar Fernandez-de-las-Penas, Marcos Jose Navarro-Santana, Sofia Olivia Calvo-Moreno, Gustavo Plaza-Manzano
Summary: This study developed an easy-to-use application for assessing the diagnostic accuracy of digital pain drawings (PDs) compared to the classic paper-and-pencil method. The results demonstrated that digital PDs have higher reliability and accuracy compared to paper-and-pencil PDs, and there were no significant differences in assessing pain extent between the two methods. The PAIN EXTENT app showed good convergent validity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Biao Qu, Jialue Zhang, Taishan Kang, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng
Summary: This study proposes a deep unrolled neural network, pFISTA-DR, for radial MRI image reconstruction, which successfully preserves image details using a preprocessing module, learnable convolution filters, and adaptive threshold.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
Summary: This study aimed to improve machine learning model prediction of fluid overload by integrating synthetic data, which could be translated to other clinical outcomes.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Jinlian Ma, Dexing Kong, Fa Wu, Lingyun Bao, Jing Yuan, Yusheng Liu
Summary: In this study, a new method based on MDenseNet is proposed for automatic segmentation of nodular lesions from ultrasound images. Experimental results demonstrate that the proposed method can accurately extract multiple nodules from thyroid and breast ultrasound images, with good accuracy and reproducibility, and it shows great potential in other clinical segmentation tasks.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Jiabao Sheng, SaiKit Lam, Jiang Zhang, Yuanpeng Zhang, Jing Cai
Summary: Omics fusion is an important preprocessing approach in medical image processing that assists in various studies. This study aims to develop a fusion methodology for predicting distant metastasis in nasopharyngeal carcinoma by mitigating the disparities in omics data and utilizing a label-softening technique and a multi-kernel-based neural network.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Zhenxiang Xiao, Liang He, Boyu Zhao, Mingxin Jiang, Wei Mao, Yuzhong Chen, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang
Summary: This study systematically investigates the functional connectivity characteristics between gyri and sulci in the human brain under naturalistic stimulus, and identifies unique features in these connections. This research provides novel insights into the functional brain mechanism under naturalistic stimulus and lays a solid foundation for accurately mapping the brain anatomy-function relationship.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Qianqian Wang, Mingyu Zhang, Aohan Li, Xiaojun Yao, Yingqing Chen
Summary: The development of PARP-1 inhibitors is crucial for the treatment of various cancers. This study investigates the structural regulation of PARP-1 by different allosteric inhibitors, revealing the basis of allosteric inhibition and providing guidance for the discovery of more innovative PARP-1 inhibitors.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Qing Xu, Wenting Duan
Summary: In this paper, a dual attention supervised module, named DualAttNet, is proposed for multi-label lesion detection in chest radiographs. By efficiently fusing global and local lesion classification information, the module is able to recognize targets with different sizes. Experimental results show that DualAttNet outperforms baselines in terms of mAP and AP50 with different detection architectures.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Kaja Gutowska, Piotr Formanowicz
Summary: The primary aim of this research is to propose algorithms for identifying significant reactions and subprocesses within biological system models constructed using classical Petri nets. These solutions enable two analysis methods: importance analysis for identifying critical individual reactions to the model's functionality and occurrence analysis for finding essential subprocesses. The utility of these methods has been demonstrated through analyses of an example model related to the DNA damage response mechanism. It should be noted that these proposed analyses can be applied to any biological phenomenon represented using the Petri net formalism. The presented analysis methods extend classical Petri net-based analyses, enhancing our comprehension of the investigated biological phenomena and aiding in the identification of potential molecular targets for drugs.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Hansle Gwon, Imjin Ahn, Yunha Kim, Hee Jun Kang, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Kye Hwa Lee, Tae Joon Jun, Young-Hak Kim
Summary: Electronic medical records have potential in advancing healthcare technologies, but privacy issues hinder their full utilization. Deep learning-based generative models can mitigate this problem by creating synthetic data similar to real patient data. However, the risk of data leakage due to malicious attacks poses a challenge to traditional generative models. To address this, we propose a method that employs local differential privacy (LDP) to protect the model from attacks and preserve the privacy of training data, while generating medical data with reasonable performance.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Siwei Tao, Zonghan Tian, Ling Bai, Yueshu Xu, Cuifang Kuang, Xu Liu
Summary: This study proposes a transfer learning-based method to address the phase retrieval problem in grating-based X-ray phase contrast imaging. By generating a training dataset and using deep learning techniques, this method improves image quality and can be applied to X-ray 2D and 3D imaging.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)