keyword
https://read.qxmd.com/read/38534488/towards-automation-in-radiotherapy-planning-a-deep-learning-approach-for-the-delineation-of-parotid-glands-in-head-and-neck-cancer
#21
JOURNAL ARTICLE
Ioannis Kakkos, Theodoros P Vagenas, Anna Zygogianni, George K Matsopoulos
The delineation of parotid glands in head and neck (HN) carcinoma is critical to assess radiotherapy (RT) planning. Segmentation processes ensure precise target position and treatment precision, facilitate monitoring of anatomical changes, enable plan adaptation, and enhance overall patient safety. In this context, artificial intelligence (AI) and deep learning (DL) have proven exceedingly effective in precisely outlining tumor tissues and, by extension, the organs at risk. This paper introduces a DL framework using the AttentionUNet neural network for automatic parotid gland segmentation in HN cancer...
February 24, 2024: Bioengineering
https://read.qxmd.com/read/38531958/comparing-deep-learning-and-pathologist-quantification-of-cell-level-pd-l1-expression-in-non-small-cell-lung-cancer-whole-slide-images
#22
JOURNAL ARTICLE
Leander van Eekelen, Joey Spronck, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Ilaria Girolami, Albino Eccher, Balazs Acs, Ceren Boyaci, Gabriel Silva de Souza, Muradije Demirel-Andishmand, Luca Dulce Meesters, Daan Zegers, Lieke van der Woude, Willemijn Theelen, Michel van den Heuvel, Katrien Grünberg, Bram van Ginneken, Jeroen van der Laak, Francesco Ciompi
Programmed death-ligand 1 (PD-L1) expression is currently used in the clinic to assess eligibility for immune-checkpoint inhibitors via the tumor proportion score (TPS), but its efficacy is limited by high interobserver variability. Multiple papers have presented systems for the automatic quantification of TPS, but none report on the task of determining cell-level PD-L1 expression and often reserve their evaluation to a single PD-L1 monoclonal antibody or clinical center. In this paper, we report on a deep learning algorithm for detecting PD-L1 negative and positive tumor cells at a cellular level and evaluate it on a cell-level reference standard established by six readers on a multi-centric, multi PD-L1 assay dataset...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531545/just-how-transformative-will-ai-ml-be-for-immuno-oncology
#23
REVIEW
Daniel Bottomly, Shannon McWeeney
Immuno-oncology involves the study of approaches which harness the patient's immune system to fight malignancies. Immuno-oncology, as with every other biomedical and clinical research field as well as clinical operations, is in the midst of technological revolutions, which vastly increase the amount of available data. Recent advances in artificial intelligence and machine learning (AI/ML) have received much attention in terms of their potential to harness available data to improve insights and outcomes in many areas including immuno-oncology...
March 25, 2024: Journal for Immunotherapy of Cancer
https://read.qxmd.com/read/38530189/erratum-for-performance-of-a-breast-cancer-detection-ai-algorithm-using-the-personal-performance-in-mammographic-screening-scheme
#24
Yan Chen, Adnan G Taib, Iain T Darker, Jonathan J James
No abstract text is available yet for this article.
March 2024: Radiology
https://read.qxmd.com/read/38529376/the-application-of-artificial-intelligence-for-rapid-on-site-evaluation-during-flexible-bronchoscopy
#25
JOURNAL ARTICLE
Shuang Yan, Yongfei Li, Lei Pan, Hua Jiang, Li Gong, Faguang Jin
BACKGROUND: Rapid On-Site Evaluation (ROSE) during flexible bronchoscopy (FB) can improve the adequacy of biopsy specimens and diagnostic yield of lung cancer. However, the lack of cytopathologists has restricted the wide use of ROSE. OBJECTIVE: To develop a ROSE artificial intelligence (AI) system using deep learning techniques to differentiate malignant from benign lesions based on ROSE cytological images, and evaluate the clinical performance of the ROSE AI system...
2024: Frontiers in Oncology
https://read.qxmd.com/read/38528692/positive-predictive-values-of-abnormality-scores-from-a-commercial-artificial-intelligence-based-computer-aided-diagnosis-for-mammography
#26
JOURNAL ARTICLE
Si Eun Lee, Hanpyo Hong, Eun-Kyung Kim
OBJECTIVE: Artificial intelligence-based computer-aided diagnosis (AI-CAD) is increasingly used in mammography. While the continuous scores of AI-CAD have been related to malignancy risk, the understanding of how to interpret and apply these scores remains limited. We investigated the positive predictive values (PPVs) of the abnormality scores generated by a deep learning-based commercial AI-CAD system and analyzed them in relation to clinical and radiological findings. MATERIALS AND METHODS: From March 2020 to May 2022, 656 breasts from 599 women (mean age 52...
April 2024: Korean Journal of Radiology: Official Journal of the Korean Radiological Society
https://read.qxmd.com/read/38528136/ai-performance-by-mammographic-density-in-a-retrospective-cohort-study-of-99-489-participants-in-breastscreen-norway
#27
JOURNAL ARTICLE
Marie Burns Bergan, Marthe Larsen, Nataliia Moshina, Hauke Bartsch, Henrik Wethe Koch, Hildegunn Siv Aase, Zhanbolat Satybaldinov, Ingfrid Helene Salvesen Haldorsen, Christoph I Lee, Solveig Hofvind
OBJECTIVE: To explore the ability of artificial intelligence (AI) to classify breast cancer by mammographic density in an organized screening program. MATERIALS AND METHOD: We included information about 99,489 examinations from 74,941 women who participated in BreastScreen Norway, 2013-2019. All examinations were analyzed with an AI system that assigned a malignancy risk score (AI score) from 1 (lowest) to 10 (highest) for each examination. Mammographic density was classified into Volpara density grade (VDG), VDG1-4; VDG1 indicated fatty and VDG4 extremely dense breasts...
March 25, 2024: European Radiology
https://read.qxmd.com/read/38527410/sers-based-ai-diagnosis-of-lung-and-gastric-cancer-via-exhaled-breath
#28
JOURNAL ARTICLE
Xin Xie, Wenrou Yu, Li Wang, Junjun Yang, Xiaobin Tu, Xiaochun Liu, Shihong Liu, Han Zhou, Runwei Chi, Yingzhou Huang
Distinct diagnosis between Lung cancer (LC) and gastric cancer (GC) according to the same biomarkers (e.g. aldehydes) in exhaled breath based on surface-enhanced Raman spectroscopy (SERS) remains a challenge in current studies. Here, an accurate diagnosis of LC and GC is demonstrated, using artificial intelligence technologies (AI) based on SERS spectrum of exhaled breath in plasmonic metal organic frameworks nanoparticle (PMN) film. In the PMN film with optimal structure parameters, 1780 SERS spectra are collected, in which 940 spectra come from healthy people (n = 49), another 440 come from LC patients (n = 22) and the rest 400 come from GC patients (n = 8)...
March 22, 2024: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://read.qxmd.com/read/38526374/objective-evaluation-of-gaze-location-patterns-using-eye-tracking-during-cystoscopy-and-artificial-intelligence-assisted-lesion-detection
#29
JOURNAL ARTICLE
Atsushi Ikeda, Kazuya Izumi, Kensuke Katori, Hirokazu Nosato, Keita Kobayashi, Shuhei Suzuki, Shuya Kandori, Masaru Sanuki, Yoichi Ochiai, Hiroyuki Nishiyama
BACKGROUND: The diagnostic accuracy of cystoscopy varies according to the knowledge and experience of the performing physician. Here, we evaluated the difference in cystoscopic gaze location patterns between medical students and urologists and assessed the differences in their eye movements when simultaneously observing conventional cystoscopic images and images with lesions detected by artificial intelligence (AI). METHODOLOGY: Eye-tracking measurements were performed, and observation patterns of participants (24 medical students and 10 urologists) viewing images from routine cystoscopic videos were analyzed...
March 25, 2024: Journal of Endourology
https://read.qxmd.com/read/38525292/cmnet-deep-learning-model-for-colon-polyp-segmentation-based-on-dual-branch-structure
#30
JOURNAL ARTICLE
Xuguang Cao, Kefeng Fan, Cun Xu, Huilin Ma, Kaijie Jiao
PURPOSE: Colon cancer is one of the top three diseases in gastrointestinal cancers, and colon polyps are an important trigger of colon cancer. Early diagnosis and removal of colon polyps can avoid the incidence of colon cancer. Currently, colon polyp removal surgery is mainly based on artificial-intelligence (AI) colonoscopy, supplemented by deep-learning technology to help doctors remove colon polyps. With the development of deep learning, the use of advanced AI technology to assist in medical diagnosis has become mainstream and can maximize the doctor's diagnostic time and help doctors to better formulate medical plans...
March 2024: Journal of Medical Imaging
https://read.qxmd.com/read/38522008/developments-and-future-prospects-of-personalized-medicine-in-head-and-neck-squamous-cell-carcinoma-diagnoses-and-treatments
#31
REVIEW
Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe, Kalpani Senevirathna, Abdul Jabbar Hilmi, Rajapakse Mudiyanselage Gamini Rajapakse, Kehinde Kazeem Kanmodi, Ruwan Duminda Jayasinghe
BACKGROUND: Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic landscape of personalized medicine as applied to HNSCC, encompassing both current developments and future prospects. RECENT FINDINGS: The integration of personalized medicine strategies into HNSCC diagnosis is driven by the utilization of genetic data and biomarkers...
March 2024: Cancer reports
https://read.qxmd.com/read/38520654/outcome-of-robot-assisted-surgery-for-stage-ia-endometrial-cancer-compared-to-open-and-laparoscopic-surgeries-a-retrospective-study-at-a-single-institution
#32
JOURNAL ARTICLE
Ai Ikebuchi, Hiroaki Komatsu, Koji Yamamoto, Masayo Okawa, Kohei Hikino, Yuki Iida, Masayo Hosokawa, Mayumi Sawada, Akiko Kudoh, Shinya Sato, Tasuku Harada, Fuminori Taniguchi
Few studies have compared the efficacy of robot-assisted, laparoscopic, and open surgeries for endometrial cancer. When considering the position of robotic surgery in Japan, it was necessary to determine whether it was effective or not. We aimed to compare the efficacy and safety of these three types of surgeries for early-stage endometrial cancer. In total, 175 patients with endometrial cancer of preoperative stage IA, who had undergone laparotomic (n = 80), laparoscopic (n = 40), or robot-assisted (n = 55) modified radical hysterectomy at our hospital from 2010 to 2022, were included; surgical outcomes, perioperative complications, and prognoses were compared...
March 23, 2024: Journal of Robotic Surgery
https://read.qxmd.com/read/38519745/artificial-intelligence-algorithm-accurately-assesses-oestrogen-receptor-immunohistochemistry-in-metastatic-breast-cancer-cytology-specimens-a-pilot-study
#33
JOURNAL ARTICLE
Brenna C Li, Scott Hammond, Anil V Parwani, Rulong Shen
OBJECTIVE: The Visiopharm artificial intelligence (AI) algorithm for oestrogen receptor (ER) immunohistochemistry (IHC) in whole slide images (WSIs) has been successfully validated in surgical pathology. This study aimed to assess its efficacy in cytology specimens. METHODS: The study cohort comprised 105 consecutive cytology specimens with metastatic breast carcinoma. ER IHC WSIs were seamlessly integrated into the Visiopharm platform from the Image Management System (IMS) during our routine digital workflow, and an AI algorithm was employed for analysis...
March 22, 2024: Cytopathology: Official Journal of the British Society for Clinical Cytology
https://read.qxmd.com/read/38519519/large-language-models-and-multimodal-foundation-models-for-precision-oncology
#34
REVIEW
Daniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, Jakob Nikolas Kather
The technological progress in artificial intelligence (AI) has massively accelerated since 2022, with far-reaching implications for oncology and cancer research. Large language models (LLMs) now perform at human-level competency in text processing. Notably, both text and image processing networks are increasingly based on transformer neural networks. This convergence enables the development of multimodal AI models that take diverse types of data as an input simultaneously, marking a qualitative shift from specialized niche models which were prevalent in the 2010s...
March 22, 2024: NPJ Precision Oncology
https://read.qxmd.com/read/38518977/non-sclerosing-t-cell-and-sclerosing-b-cell-lymphocytic-lobulitis-in-diagnostic-breast-biopsies-clinical-imaging-and-pathologic-features
#35
JOURNAL ARTICLE
Marie-Helene Ngo, Geraldine S Pinkus, Eren D Yeh, Jane E Brock, Stephanie Schulte, Susan C Lester
Lymphocytic lobulitis (LL) is characterized by prominent lymphocytic infiltrates centered on lobules. Sclerosing lymphocytic lobulitis (SCLL) associated with diabetes mellitus (DM) or autoimmune disease (AI) was the first type to be described. Subsequently, non-sclerosing LL (NSCLL) was reported as an incidental finding in prophylactic mastectomies due to high risk germline mutations or a family history of breast cancer. The two types of LL were distinguished by stromal features and a predominant population of B-cells in the former and T-cells in the latter...
March 20, 2024: Human Pathology
https://read.qxmd.com/read/38518604/senolytic-drugs-dasatinib-and-quercetin-combined-with-carboplatin-or-olaparib-reduced-the-peritoneal-and-adipose-tissue-metastasis-of-ovarian-cancer
#36
JOURNAL ARTICLE
Lian Wang, Bing Xiong, Wei Lu, Yujie Cheng, Jihui Zhu, Guihai Ai, Xiaojie Zhang, Xiuni Liu, Zhongping Cheng
Chemotherapy and targeted drugs-induced senescent ovarian cancer cells that accumulate in peritoneal adipose tissue contribute significantly to chronic inflammation, disrupt homeostasis, and may fuel various aspects of cancer progression. However, the pro-senescence effects of chemotherapy and targeted drugs on adipose derived stem cells (ADSCs) within peritoneal adipose tissue remain poorly understood. In this study, we show that the first-line chemotherapy and targeted drugs can induce the cellular senescence of ADSCs in vitro and increase the aging of peritoneal adipose tissue in vivo...
March 21, 2024: Biomedicine & Pharmacotherapy
https://read.qxmd.com/read/38518563/multifunctional-fluorescence-probe-for-simultaneous-detection-of-viscosity-polarity-and-onoo-and-its-bioimaging-in-vitro-and-vivo
#37
JOURNAL ARTICLE
Yuan-Yuan Li, Jia-Ling Hu, Ji-Rou Wu, Yi-Ru Wang, Ai-Hong Zhang, Yu-Wei Tan, Ya-Jing Shang, Ting Liang, Min Li, Ya-Li Meng, Yan-Fei Kang
Intracellular microenvironment (viscosity and polarity) and peroxynitrite ions (ONOO- ) are involved in maintaining cell morphology, cell function, and signaling so that it is crucial to explore their level changes in vitro and vivo. In this work, we designed and synthesized a mitochondria-targeted fluorescence probe XBL for monitoring the dynamic changes of viscosity, polarity, and ONOO- based on TICT and ICT mechanism. The fluorescence spectra showed obvious changes for polarity at 500 nm as well as ONOO- and viscosity at 660 nm, respectively...
March 19, 2024: Biosensors & Bioelectronics
https://read.qxmd.com/read/38517416/prolonging-the-lives-of-african-americans-with-metastatic-breast-cancer-by-adding-palbociclib-to-an-aromatase-inhibitor-in-routine-clinical-practice-a-plain-language-summary-of-a-real-world-database-study
#38
REVIEW
Hope S Rugo, Xianchen Liu, Benjamin Li, Lynn McRoy, Connie Chen, Rachel M Layman, Tiah Tomlin-Harris, Adam Brufsky
WHAT ARE THE KEY TAKEAWAYS?: This study used de-identified medical information from the Flatiron Database. This database contains healthcare information on people with cancer treated by doctors in the United States but personal information is removed to maintain privacy. Medical information for people who received certain treatments in routine clinical practice or real-world setting was included in the study. This study showed that in the real-world setting, African-Americans with HR+/HER2- MBC lived longer when receiving palbociclib with an AI than with an AI alone...
March 22, 2024: Future Oncology
https://read.qxmd.com/read/38516823/lactate-dehydrogenase-a-is-implicated-in-the-pathogenesis-of-b-cell-lymphoma-through-regulation-of-the-fer-signaling-pathway
#39
JOURNAL ARTICLE
Xiumei Feng, Jing Ren, Xunqi Zhang, Dexiao Kong, Linlin Yin, Qian Zhou, Shunye Wang, Ai Li, Yanan Guo, Yongjing Wang, Xiaoli Feng, Xiaoyun Wang, Jianhua Niu, Yang Jiang, Chengyun Zheng
Lactate dehydrogenase A (LDHA) is highly expressed in various tumors. However, the role of LDHA in the pathogenesis of B-cell lymphoma remains unclear. Analysis of data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases revealed an elevated LDHA expression in diffuse large B-cell lymphoma (DLBC) tissues compared with normal tissues. Similarly, our results demonstrated a significant increase in LDHA expression in tumor tissues from the patients with B-cell lymphoma compared with those with lymphadenitis...
March 22, 2024: BioFactors
https://read.qxmd.com/read/38515672/diagnostic-accuracy-of-interleukin-6-in-multiple-diseases-an-umbrella-review-of-meta-analyses
#40
REVIEW
Zeyu Han, Jin Li, Xianyanling Yi, Tianyi Zhang, Dazhou Liao, Jia You, Jianzhong Ai
OBJECTIVE: This review aims to conduct a comprehensive study of the diagnostic accuracy of interleukin-6 (IL-6) for multiple diseases by utilizing existing systematic reviews and meta-analyses. METHODS: We performed a thorough search of Embase, Web of Science, PubMed, and Cochrane Database of Systematic Reviews up to April 2023 to gather meta-analyses that investigate the diagnostic accuracy of IL-6. To assess the methodological quality of the studies, we employed the Assessing the Methodological Quality of Systematic Reviews-2 and Grading of Recommendations, Assessment, Development and Evaluation criteria...
March 30, 2024: Heliyon
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