keyword
https://read.qxmd.com/read/38534493/a-comprehensive-review-on-synergy-of-multi-modal-data-and-ai-technologies-in-medical-diagnosis
#1
REVIEW
Xi Xu, Jianqiang Li, Zhichao Zhu, Linna Zhao, Huina Wang, Changwei Song, Yining Chen, Qing Zhao, Jijiang Yang, Yan Pei
Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in rendering more evidence-based decisions, thus presenting a pioneering solution for clinical practice. Traditionally, the amalgamation of diverse medical data modalities (e.g., image, text, speech, genetic data, physiological signals) is imperative to facilitate a comprehensive disease analysis, a topic of burgeoning interest among both researchers and clinicians in recent times...
February 25, 2024: Bioengineering
https://read.qxmd.com/read/38515985/enhancing-accessibility-for-improved-diagnosis-with-modified-efficientnetv2-s-and-cyclic-learning-rate-strategy-in-women-with-disabilities-and-breast-cancer
#2
JOURNAL ARTICLE
Moteeb Al Moteri, T R Mahesh, Arastu Thakur, V Vinoth Kumar, Surbhi Bhatia Khan, Mohammed Alojail
Breast cancer, a prevalent cancer among women worldwide, necessitates precise and prompt detection for successful treatment. While conventional histopathological examination is the benchmark, it is a lengthy process and prone to variations among different observers. Employing machine learning to automate the diagnosis of breast cancer presents a viable option, striving to improve both precision and speed. Previous studies have primarily focused on applying various machine learning and deep learning models for the classification of breast cancer images...
2024: Frontiers in Medicine
https://read.qxmd.com/read/38492147/3d-magnetic-seed-localization-for-augmented-reality-in-surgery
#3
JOURNAL ARTICLE
Pierre Ambrosini, Sara AzizianAmiri, Eliane Zeestraten, Tessa van Ginhoven, Ricardo Marroquim, Theo van Walsum
PURPOSE: For tumor resection, surgeons need to localize the tumor. For this purpose, a magnetic seed can be inserted into the tumor by a radiologist and, during surgery, a magnetic detection probe informs the distance to the seed for localization. In this case, the surgeon still needs to mentally reconstruct the position of the tumor from the probe's information. The purpose of this study is to develop and assess a method for 3D localization and visualization of the seed, facilitating the localization of the tumor...
March 16, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38438758/long-term-satisfaction-with-breast-augmentation-and-augmentation-mastopexy-in-the-latin-american-population
#4
JOURNAL ARTICLE
Stefan Danilla, Claudia Cayupán, Laura Cala, Héctor Durán
OBJECTIVE: The primary objective of this study was to determine the long-term satisfaction levels of women who have undergone breast augmentation and augmentation mastopexy procedures, while identifying the factors influencing patient satisfaction. METHODS: A self-reported retrospective case study design was used to collect data from women with breast implants. The study employed a survey that included demographic information, preoperative diagnosis, implant details, and patient-reported outcomes measured using the Breast-Q Instrument, which evaluates satisfaction with breasts, self-esteem, sexual well-being, and physical symptoms...
March 4, 2024: Aesthetic Plastic Surgery
https://read.qxmd.com/read/38429796/conditional-generative-adversarial-network-driven-radiomic-prediction-of-mutation-status-based-on-magnetic-resonance-imaging-of-breast-cancer
#5
JOURNAL ARTICLE
Zi Huai Huang, Lianghong Chen, Yan Sun, Qian Liu, Pingzhao Hu
BACKGROUND: Breast Cancer (BC) is a highly heterogeneous and complex disease. Personalized treatment options require the integration of multi-omic data and consideration of phenotypic variability. Radiogenomics aims to merge medical images with genomic measurements but encounter challenges due to unpaired data consisting of imaging, genomic, or clinical outcome data. In this study, we propose the utilization of a well-trained conditional generative adversarial network (cGAN) to address the unpaired data issue in radiogenomic analysis of BC...
March 2, 2024: Journal of Translational Medicine
https://read.qxmd.com/read/38396461/revolutionizing-breast-cancer-diagnosis-a-concatenated-precision-through-transfer-learning-in-histopathological-data-analysis
#6
JOURNAL ARTICLE
Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, Seshathiri Dhanasekaran
Breast cancer remains a significant global public health concern, emphasizing the critical role of accurate histopathological analysis in diagnosis and treatment planning. In recent years, the advent of deep learning techniques has showcased notable potential in elevating the precision and efficiency of histopathological data analysis. The proposed work introduces a novel approach that harnesses the power of Transfer Learning to capitalize on knowledge gleaned from pre-trained models, adapting it to the nuanced landscape of breast cancer histopathology...
February 14, 2024: Diagnostics
https://read.qxmd.com/read/38395930/augmented-interpretation-of-her2-er-and-pr-in-breast-cancer-by-artificial-intelligence-analyzer-enhancing-interobserver-agreement-through-a-reader-study-of-201-cases
#7
JOURNAL ARTICLE
Minsun Jung, Seung Geun Song, Soo Ick Cho, Sangwon Shin, Taebum Lee, Wonkyung Jung, Hajin Lee, Jiyoung Park, Sanghoon Song, Gahee Park, Heon Song, Seonwook Park, Jinhee Lee, Mingu Kang, Jongchan Park, Sergio Pereira, Donggeun Yoo, Keunhyung Chung, Siraj M Ali, So-Woon Kim
BACKGROUND: Accurate classification of breast cancer molecular subtypes is crucial in determining treatment strategies and predicting clinical outcomes. This classification largely depends on the assessment of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) status. However, variability in interpretation among pathologists pose challenges to the accuracy of this classification. This study evaluates the role of artificial intelligence (AI) in enhancing the consistency of these evaluations...
February 23, 2024: Breast Cancer Research: BCR
https://read.qxmd.com/read/38387381/bias-reduction-using-combined-stain-normalization-and-augmentation-for-ai-based-classification-of-histological-images
#8
JOURNAL ARTICLE
Camille Franchet, Robin Schwob, Guillaume Bataillon, Charlotte Syrykh, Sarah Péricart, François-Xavier Frenois, Frédérique Penault-Llorca, Magali Lacroix-Triki, Laurent Arnould, Jérôme Lemonnier, Jean-Marc Alliot, Thomas Filleron, Pierre Brousset
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a frequent drawback of AI models is their propension to make decisions based rather on bias in training dataset than on concrete biological features, thus weakening pathologists' trust in these tools. Technically, it is well known that microscopic images are altered by tissue processing and staining procedures, being one of the main sources of bias in machine learning for digital pathology. So as to deal with it, many teams have written about color normalization and augmentation methods...
February 8, 2024: Computers in Biology and Medicine
https://read.qxmd.com/read/38382221/serum-analysis-based-on-sers-combined-with-2d-convolutional-neural-network-and-gramian-angular-field-for-breast-cancer-screening
#9
JOURNAL ARTICLE
Nuo Cheng, Yan Gao, Shaowei Ju, Xiangwei Kong, Jiugong Lyu, Lijie Hou, Lihong Jin, Bingjun Shen
Breast cancer is a significant cause of death among women worldwide. It is crucial to quickly and accurately diagnose breast cancer in order to reduce mortality rates. While traditional diagnostic techniques for medical imaging and pathology samples have been commonly used in breast cancer screening, they still have certain limitations. Surface-enhanced Raman spectroscopy (SERS) is a fast, highly sensitive and user-friendly method that is often combined with deep learning techniques like convolutional neural networks...
February 19, 2024: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://read.qxmd.com/read/38379779/successful-treatment-of-siadh-after-removal-of-ruptured-breast-implants
#10
Alice C Thuerlimann, Jeremy Morel, Pierre-Yves Martin, Daniel F Kalbermatten
Local adverse reactions to breast implants and systemic reactions, mostly autoinflammatory, are numerously described in the literature. A patient presented at our institution with severe neurologic symptoms, including confusion and phasic troubles due to severe hyponatremia as part of syndrome of inappropriate antidiuretic hormone secretion (SIADH). Common etiologies for SIADH, primarily malignancy and central nervous system disturbances, have been ruled out by imaging. On the computed tomography scan of the thorax and abdomen, several masses were found in the pectoral region, inferior to the sternum and in the left axilla that were biopsied and verified as silicone...
February 2024: Plastic and Reconstructive Surgery. Global Open
https://read.qxmd.com/read/38377409/optimizing-implant-width-selection-in-breast-augmentation-insights-from-on-patient-landmark-positioning-in-3d-breast-simulation
#11
JOURNAL ARTICLE
Isil Akgun Demir
The VECTRA® XT 3D simulation program is a valuable tool for implant selection during the decision-making process of breast augmentations. The software allows for the assignment of automatically or manually positioned anatomical landmarks and provides accompanying measurements. This study aimed to present a strategy for standardizing landmark placement on Vectra® images during primary breast augmentations, optimize implant selection, and insure consistency in breast width data collection. We performed a retrospective analysis of patient data wherein breast width measurements were obtained through Clinical Assessment (CA) and the Vectra® program using both automatically (VA) and manually (VM) placed landmarks...
February 20, 2024: Aesthetic Surgery Journal
https://read.qxmd.com/read/38371146/augmented-reality-assisted-placement-of-ommaya-reservoir-for-cyst-aspiration-a-case-report
#12
Joshua Olexa, Annie Trang, Kevin Kim, Maureen Rakovec, Jordan Saadon, Whitney Parker
Image guidance technologies can significantly improve the accuracy and safety of intracranial catheter insertions. Augmented reality (AR) allows surgeons to visualize 3D information overlaid onto a patient's head. As such, AR has emerged as a novel image guidance technology that offers unique advantages when navigating intracranial targets. A 71-year-old woman with a history of brain metastasis from breast cancer and prior resection surgery and chemotherapy presented with altered mental status and generalized weakness worse on her left side...
January 2024: Curēus
https://read.qxmd.com/read/38364813/activity-based-nitric-oxide-responsive-porphyrin-for-site-selective-and-nascent-cancer-ablation
#13
JOURNAL ARTICLE
Suritra Bandyopadhyay, Zhenxiang Zhao, Amanda K East, Rodrigo Tapia Hernandez, Joseph A Forzano, Benjamin A Shapiro, Anuj K Yadav, Chelsea B Swartchick, Jefferson Chan
Nitric oxide (NO) generated within the tumor microenvironment is an established driver of cancer progression and metastasis. Recent efforts have focused on leveraging this feature to target cancer through the development of diagnostic imaging agents and activatable chemotherapeutics. In this context, porphyrins represent an extraordinarily promising class of molecules, owing to their demonstrated use within both modalities. However, the remodeling of a standard porphyrin to afford a responsive chemical that can distinguish elevated NO from physiological levels has remained a significant research challenge...
February 16, 2024: ACS Applied Materials & Interfaces
https://read.qxmd.com/read/38364672/prevalence-clinical-characteristics-and-management-of-silicone-lymphadenopathy-a-systematic-review-of-the-literature
#14
REVIEW
Tatiana C Pelegrina Perez, Anshumi Desai, Kashyap K Tadisina, Devinder P Singh, Susan B Kesmodel, Kristin E Rojas, Juan R Mella-Catinchi
INTRODUCTION: Implant-based breast augmentations and reconstructions are one of the most common surgical procedures performed by plastic surgeons in the United States, which has rapidly increased in popularity since the 2000s. Silicone lymphadenopathy (SL) is a complication of breast implants that involves migration of silicone to nearby soft tissue/lymph nodes. Data on its clinical features and management is scarce. METHODS: SL-related search terms were used to find articles in 3 databases...
March 2024: Journal of Plastic, Reconstructive & Aesthetic Surgery: JPRAS
https://read.qxmd.com/read/38347975/prevalence-and-determinants-of-plastic-surgery-among-adults-in-saudi-arabia
#15
JOURNAL ARTICLE
Amr Arkoubi, Faris Aldaghri, Wael A Daghstani, Tamara A Hafiz, Ghaida B Alanazi, Alwaleed I Almughira, Shahad AlShehri, Maram K Alshammari, Reemah AlQahtani
BACKGROUND: Social and cultural factors have a significant impact on body image standards, and the media's messages play a crucial role in shaping beauty ideals. People's perceptions of beauty can be negatively affected by social media, which promotes unrealistic beauty standards and can lead to a desire for plastic surgery. Plastic surgery includes both reconstructive and aesthetic procedures and has become increasingly popular worldwide. In Saudi Arabia, there has been a significant increase in the number of women seeking cosmetic surgery, particularly breast augmentation, rhinoplasty, and liposuction, indicating that cosmetic surgery is becoming more accepted as a way to enhance beauty...
January 2024: Curēus
https://read.qxmd.com/read/38342338/improving-chemotherapy-effectiveness-utilizing-cus-nanoparticles-coated-with-as1411-aptamer-and-chitosan-for-targeted-delivery-of-doxorubicin-to-cancerous-cells
#16
JOURNAL ARTICLE
Maryam Imanimoghadam, Elnaz Yaghoobi, Fatemeh Alizadeh, Mohammad Ramezani, Mona Alibolandi, Khalil Abnous, Seyed Mohammad Taghdisi
Here, a novel targeted nanostructure complex was designed as an alternative to the traditional treatment approaches for breast cancer. A delivery system utilizing CuS nanoparticles (CuS NPs) was developed for the purpose of targeted administration of doxorubicin (Dox), an anticancer agent. To regulate Dox release, chitosan (CS), a biodegradable and hydrophilic polymer with biocompatible properties, was applied to coat the Dox-loaded CuS NPs. Furthermore, AS1411 aptamer, served as a targeting agent for breast cancer cells (MCF-7 and 4T1 cells), was conjugated with CS-Dox-CuS NPs effectively...
February 9, 2024: Journal of Pharmaceutical Sciences
https://read.qxmd.com/read/38337610/current-trends-and-beyond-conventional-approaches-advancements-in-breast-cancer-surgery-through-three-dimensional-imaging-virtual-reality-augmented-reality-and-the-emerging-metaverse
#17
REVIEW
Weronika Magdalena Żydowicz, Jaroslaw Skokowski, Luigi Marano, Karol Polom
Breast cancer stands as the most prevalent cancer globally, necessitating comprehensive care. A multidisciplinary approach proves crucial for precise diagnosis and treatment, ultimately leading to effective disease management. While surgical interventions continue to evolve and remain integral for curative treatment, imaging assumes a fundamental role in breast cancer detection. Advanced imaging techniques not only facilitate improved diagnosis but also contribute significantly to the overall enhancement of breast cancer management...
February 5, 2024: Journal of Clinical Medicine
https://read.qxmd.com/read/38318975/mno-2-ce6-microbubble-mediated-hypoxia-modulation-for-enhancing-sono-photodynamic-therapy-against-triple-negative-breast-cancer
#18
JOURNAL ARTICLE
Ping Li, Xiao Tan, Qing Dan, Azhen Hu, Zhengming Hu, Xiaoting Yang, Jianhua Bai, Xiaoyu Chen, Bowei Li, Guanxun Cheng, Li Liu, Yun Chen, Desheng Sun, Xintao Shuai, Tingting Zheng
Sono-photodynamic therapy (SPDT) has emerged as a promising treatment modality for triple negative breast cancer (TNBC). However, the hypoxic tumor microenvironment hinders the application of SPDT. Herein, in this study, a multifunctional platform (MnO2 /Ce6@MBs) was designed to address this issue. A sono-photosensitizer (Ce6) and a hypoxia modulator (MnO2 ) were loaded into microbubbles and precisely released within tumor tissues under ultrasound irradiation. MnO2 in situ reacted with the excess H2 O2 and H+ and produced O2 within the TNBC tumor, which alleviated hypoxia and augmented SPDT by increasing ROS generation...
February 6, 2024: Biomaterials Science
https://read.qxmd.com/read/38290953/the-applications-of-augmented-reality-in-image-guided-tumor-ablations-a-scoping-review
#19
REVIEW
Yousif Al-Naser, Felobater Halka, Fatimah Alshadeedi, Mahmood Albahhar, Sriharsha Athreya
BACKGROUND: Interventional radiology employs minimally invasive image-guided procedures for diagnosing and treating various conditions. Among these procedures, alcohol and thermal ablation techniques have shown high efficacy. However, these procedures present challenges such as increased procedure time, radiation dose, and risk of tissue injury. This scoping review aims to explore how augmented reality (AR) can mitigate these challenges and improve the accuracy, precision, and efficiency of image-guided tumor ablation while improving patient outcomes...
January 29, 2024: Journal of Medical Imaging and Radiation Sciences
https://read.qxmd.com/read/38281317/automatic-data-augmentation-to-improve-generalization-of-deep-learning-in-h-e-stained-histopathology
#20
JOURNAL ARTICLE
Khrystyna Faryna, Jeroen van der Laak, Geert Litjens
In histopathology practice, scanners, tissue processing, staining, and image acquisition protocols vary from center to center, resulting in subtle variations in images. Vanilla convolutional neural networks are sensitive to such domain shifts. Data augmentation is a popular way to improve domain generalization. Currently, state-of-the-art domain generalization in computational pathology is achieved using a manually curated set of augmentation transforms. However, manual tuning of augmentation parameters is time-consuming and can lead to sub-optimal generalization performance...
January 24, 2024: Computers in Biology and Medicine
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