keyword
https://read.qxmd.com/read/38318975/mno-2-ce6-microbubble-mediated-hypoxia-modulation-for-enhancing-sono-photodynamic-therapy-against-triple-negative-breast-cancer
#21
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
#22
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
#23
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
https://read.qxmd.com/read/38244279/uninformed-teacher-student-for-hard-samples-distillation-in-weakly-supervised-mitosis-localization
#24
JOURNAL ARTICLE
Claudio Fernandez-Martín, Julio Silva-Rodriguez, Umay Kiraz, Sandra Morales, Emiel A M Janssen, Valery Naranjo
BACKGROUND AND OBJECTIVE: Mitotic activity is a crucial biomarker for diagnosing and predicting outcomes for different types of cancers, particularly breast cancer. However, manual mitosis counting is challenging and time-consuming for pathologists, with moderate reproducibility due to biopsy slide size, low mitotic cell density, and pattern heterogeneity. In recent years, deep learning methods based on convolutional neural networks (CNNs) have been proposed to address these limitations...
January 4, 2024: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://read.qxmd.com/read/38241592/breast-cancer-a-review-of-risk-factors-and-diagnosis
#25
REVIEW
Emmanuel Ifeanyi Obeagu, Getrude Uzoma Obeagu
Breast cancer remains a complex and prevalent health concern affecting millions of individuals worldwide. This review paper presents a comprehensive analysis of the multifaceted landscape of breast cancer, elucidating the diverse spectrum of risk factors contributing to its occurrence and exploring advancements in diagnostic methodologies. Through an extensive examination of current literature, various risk factors have been identified, encompassing genetic predispositions such as BRCA mutations, hormonal influences, lifestyle factors, and reproductive patterns...
January 19, 2024: Medicine (Baltimore)
https://read.qxmd.com/read/38222151/silicone-cervical-lymphadenopathy-a-rare-complication-after-breast-augmentation
#26
Caroline-Theodora Avgeri, Giorgos Sideris, Ioannis Margaris, Laith Tapponi
A 66-year-old female patient, who had undergone breast augmentation 10 years ago, presented with unilateral neck pain, dysphagia, and hoarseness. Subsequent imaging revealed right-sided supraclavicular and axillary lymphadenopathy and a breast implant rupture on the same side. A lymph node core biopsy under sonographic guidance revealed silicone lymphadenopathy. Implant extirpation was offered to the patient. Cervical lymphadenopathy warrants an initial workup to exclude sinister chronic inflammatory or malignant conditions...
December 2023: Curēus
https://read.qxmd.com/read/38215882/secondary-complications-in-wassel-ii-iv-thumb-duplication-a-comprehensive-review-of-preventive-measures
#27
REVIEW
Ophélie Doucet, Pharel Njessi, Charlotte Jaloux, Emilie Bougie
OBJECTIVES: Thumb duplication is one of the most challenging pediatric reconstructive hand surgeries. Wassel types II and IV are the most frequent, but also the most complex reconstructions as the duplication arises at the joint level. Ablation and reconstruction, the most widely used technique, aims at achieving a stable, well-aligned, mobile and esthetically acceptable thumb. The paucity of reliable surgical guidelines leads to high rates of suboptimal surgical outcomes. This review evaluated the various reconstruction techniques detailed in the literature and highlighted useful methods to prevent common secondary complications...
January 10, 2024: Hand Surgery and Rehabilitation
https://read.qxmd.com/read/38215659/evaluation-of-the-accuracy-of-an-augmented-reality-based-tumor-targeting-guide-for-breast-conserving-surgery
#28
JOURNAL ARTICLE
Junhyeok Ock, Sojin Moon, MinKyeong Kim, Beom Seok Ko, Namkug Kim
BACKGROUND AND OBJECTIVES: Although magnetic resonance imaging (MRI) is commonly used for breast tumor detection, significant challenges remain in determining and presenting the three-dimensional (3D) morphology of tumors to guide breast-conserving surgery. To address this challenge, we have developed the augmented reality-breast surgery guide (AR-BSG) and compared its performance with that of a traditional 3D-printed breast surgical guide (3DP-BSG). METHODS: Based on the MRI results of a breast cancer patient, a breast phantom made of skin, body, and tumor was fabricated through 3D printing and silicone-casting...
December 29, 2023: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38205097/application-of-magnetic-resonance-imaging-with-intraoperative-color-doppler-ultrasound-in-the-treatment-of-patients-with-polyacrylamide-hydrogel-injected-for-breast-augmentation-a-retrospective-study-of-204-cases-for-12-years
#29
JOURNAL ARTICLE
Xi Bu, Jian-Xun Ma, You-Chen Xia, Bi Li, Yue Lang, Shi-Lu Yin
PURPOSE: Polyacrylamide hydrogel (PAHG), which had been used widely for breast augmentation, has been banned for more than 15 years. Patients who had been injected PAHG for breast augmentation need evacuation surgery to remove as much as possible. To provide a series of diagnosis and treatment process MRI and intraoperative color Doppler ultrasound are combined for maximal removal of PAHG. METHODS: The patients who received evacuation surgery in Peking University Third Hospital from 2010 to 2022 after PAHG injection for breast augmentation were included in this research...
January 2024: Annals of Surgical Treatment and Research
https://read.qxmd.com/read/38199069/gandalf-graph-based-transformer-and-data-augmentation-active-learning-framework-with-interpretable-features-for-multi-label-chest-xray-classification
#30
JOURNAL ARTICLE
Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes
Informative sample selection in an active learning (AL) setting helps a machine learning system attain optimum performance with minimum labeled samples, thus reducing annotation costs and boosting performance of computer-aided diagnosis systems in the presence of limited labeled data. Another effective technique to enlarge datasets in a small labeled data regime is data augmentation. An intuitive active learning approach thus consists of combining informative sample selection and data augmentation to leverage their respective advantages and improve the performance of AL systems...
January 6, 2024: Medical Image Analysis
https://read.qxmd.com/read/38155618/ruptured-breast-implant-removal-because-of-patient-anxiety-in-the-absence-of-breast-implant-associated-anaplastic-large-cell-lymphoma
#31
Hitomi Takahashi, Hideyoshi Sato, Yukiyo Tsunekawa, Urara Fujioka, Yumi Wanifuchi-Endo, Tatsuya Toyama, Kazuhiro Toriyama
Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) has been regarded as a long-term problem after silicone breast implantations. We report a case in which BIA-ALCL and breast cancer were not detected preoperatively, with subsequent removal of a ruptured breast implant. A 52-year-old woman had silicone breast implants on both sides for breast augmentation 15 years ago. Right axillary lymphadenopathy and intracapsular ruptures were noted by magnetic resonance imaging. Right axillary lymph node biopsy was performed at our department of breast surgery...
November 2023: Nagoya Journal of Medical Science
https://read.qxmd.com/read/38145285/standardized-cyclegan-training-for-unsupervised-stain-adaptation-in-invasive-carcinoma-classification-for-breast-histopathology
#32
JOURNAL ARTICLE
Nicolas Nerrienet, Rémy Peyret, Marie Sockeel, Stéphane Sockeel
PURPOSE: Generalization is one of the main challenges of computational pathology. Slide preparation heterogeneity and the diversity of scanners lead to poor model performance when used on data from medical centers not seen during training. In order to achieve stain invariance in breast invasive carcinoma patch classification, we implement a stain translation strategy using cycleGANs for unsupervised image-to-image translation. Those models often suffer from a lack of proper metrics to monitor and stop the training at a particular point...
November 2023: Journal of Medical Imaging
https://read.qxmd.com/read/38136010/multi-instance-classification-of-breast-tumor-ultrasound-images-using-convolutional-neural-networks-and-transfer-learning
#33
JOURNAL ARTICLE
Alexandru Ciobotaru, Maria Aurora Bota, Dan Ioan Goța, Liviu Cristian Miclea
BACKGROUND: Breast cancer is arguably one of the leading causes of death among women around the world. The automation of the early detection process and classification of breast masses has been a prominent focus for researchers in the past decade. The utilization of ultrasound imaging is prevalent in the diagnostic evaluation of breast cancer, with its predictive accuracy being dependent on the expertise of the specialist. Therefore, there is an urgent need to create fast and reliable ultrasound image detection algorithms to address this issue...
December 13, 2023: Bioengineering
https://read.qxmd.com/read/38126911/dual-modality-imaging-guided-manganese-based-nanotransformer-for-enhanced-gas-photothermal-therapy-combined-immunotherapeutic-strategy-against-triple-negative-breast-cancer
#34
JOURNAL ARTICLE
Xiuhong Guan, Ni Zeng, Yue Zhao, Xin Huang, Shengsheng Lai, Guixian Shen, Wanli Zhang, Nianhua Wang, Wang Yao, Yuan Guo, Ruimeng Yang, Zhiyong Wang, Xinqing Jiang
Activating the stimulator of the interferon gene (STING) is a promising immunotherapeutic strategy for converting "cold" tumor microenvironment into "hot" one to achieve better immunotherapy for malignant tumors. Herein, a manganese-based nanotransformer is presented, consisting of manganese carbonyl and cyanine dye, for MRI/NIR-II dual-modality imaging-guided multifunctional carbon monoxide (CO) gas treatment and photothermal therapy, along with triggering cGAS-STING immune pathway against triple-negative breast cancer...
December 21, 2023: Small
https://read.qxmd.com/read/38111716/capsular-pneumatosis-a-rare-radiographic-sign-for-internal-breast-implant-capsule-violation-in-trauma
#35
Christopher Lemoine, Herbert Downton Ramos, Austin Healy, Alan Babigian
Breast augmentation is considered one of the most commonly performed procedures by aesthetic plastic surgeons, representing 16 % of all global plastic surgery procedures in 2020. Given the fact that thoracic trauma comprises over 20 % of trauma worldwide, it is unsurprising that there is potential for overlap between these two patient populations. Here, we present the case of a 59-year-old patient who had undergone bilateral breast augmentation over 10 years prior to presentation. They arrived as a highest-level trauma activation after being a helmeted cyclist struck by a motor vehicle resulting in significant left-sided thoracic trauma...
March 2024: JPRAS Open
https://read.qxmd.com/read/38102867/the-soft-nano-dots-as-fluorescent-probes-for-cell-imaging-analysis-of-cell-and-spheroid-penetration-behavior-of-single-chain-polymer-dots
#36
JOURNAL ARTICLE
Muge Yucel, Rabia Onbas, Ahu Arslan-Yildiz, U Hakan Yildiz
This study describes the formation, size control and penetration behavior of polymer nano dots (Pdots) consisting of single or few chain polythiophene based conjugated polyelectrolytes (CPEs) via nanophase separation between good solvent and poor solvent of CPE. Though the chain singularity may be associated with dilution nanophase separation suggests that molecules of a good solvent create a thermodynamically driven solvation layer surrounding the CPEs and thereby separating the single chains even in their poor solvents...
December 15, 2023: Macromolecular Bioscience
https://read.qxmd.com/read/38099828/high-intensity-focused-ultrasound-surgery-for-tumor-ablation-a-review-of-current-applications
#37
REVIEW
Alessandro De Maio, Giulia Alfieri, Monica Mattone, Pejman Ghanouni, Alessandro Napoli
The management of cancer with alternative approaches is a matter of clinical interest worldwide. High-intensity focused ultrasound (HIFU) surgery is a noninvasive technique performed under US or MRI guidance. The most studied therapeutic uses of HIFU involve thermal tissue ablation, demonstrating both palliative and curative potential. However, concurrent mechanical bioeffects also provide opportunities in terms of augmented drug delivery and immunosensitization. The safety and efficacy of HIFU integration with current cancer treatment strategies are being actively investigated in managing primary and secondary tumors, including cancers of the breast, prostate, pancreas, liver, kidney, and bone...
January 2024: Radiology. Imaging cancer
https://read.qxmd.com/read/38087041/semi-supervised-breast-cancer-pathology-image-segmentation-based-on-fine-grained-classification-guidance
#38
JOURNAL ARTICLE
Kai Sun, Yuanjie Zheng, Xinbo Yang, Xinyuan Chen, Weikuan Jia
Breast cancer pathological image segmentation (BCPIS) holds significant value in assisting physicians with quantifying tumor regions and providing treatment guidance. However, achieving fine-grained semantic segmentation remains a major challenge for this technology. The complex and diverse morphologies of breast cancer tissue structures result in high costs for manual annotation, thereby limiting the sample size and annotation quality of the dataset. These practical issues have a significant impact on the segmentation performance...
December 12, 2023: Medical & Biological Engineering & Computing
https://read.qxmd.com/read/38078052/-coming-home-to-my-body-a-qualitative-exploration-of-gender-affirming-care-seeking-and-mental-health
#39
JOURNAL ARTICLE
Teddy G Goetz, Amanda C Arcomano
Among transgender, non-binary, and/or gender expansive (TNG) persons, interest in medical and/or surgical forms of gender affirmation is heterogenous, as is access to those forms of medically necessary health care. Yet, the literature characterizing TNG persons' interest in medical and/or surgical gender-affirming care, barriers to accessing that care, and how societal narratives and expectations impact TNG individuals' self-image and mental health, as well as their personal choices regarding gender-affirming care remains sparse...
2023: Journal of Gay & Lesbian Mental Health
https://read.qxmd.com/read/38074778/a-deep-learning-decision-support-tool-to-improve-risk-stratification-and-reduce-unnecessary-biopsies-in-bi-rads-4-mammograms
#40
JOURNAL ARTICLE
Chika F Ezeana, Tiancheng He, Tejal A Patel, Virginia Kaklamani, Maryam Elmi, Erika Brigmon, Pamela M Otto, Kenneth A Kist, Heather Speck, Lin Wang, Joe Ensor, Ya-Chen T Shih, Bumyang Kim, I-Wen Pan, Adam L Cohen, Kristen Kelley, David Spak, Wei T Yang, Jenny C Chang, Stephen T C Wong
PURPOSE: To evaluate the performance of a biopsy decision support algorithmic model, the intelligent-augmented breast cancer risk calculator (iBRISK), on a multicenter patient dataset. MATERIALS AND METHODS: iBRISK was previously developed by applying deep learning to clinical risk factors and mammographic descriptors from 9700 patient records at the primary institution and validated using another 1078 patients. All patients were seen from March 2006 to December 2016...
November 2023: Radiology. Artificial intelligence
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