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Novel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.
Curr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
View Article and Find Full Text PDFProspective study on the role of preoperative mannitol in capsulorhexis and reducing intraoperative complications in primary angle-closure disease surgery.
J Int Med Res
January 2025
Department of Ophthalmology, Peking University People's Hospital; Eye Diseases and Optometry Institute; Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases; College of Optometry, Peking University Health Science Center. Address: No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Objective: To evaluate the effect of preoperative intravenous mannitol on the capsulorhexis process and intraoperative complications in patients with primary angle-closure glaucoma (PACG).
Methods: In this prospective randomized controlled trial, 65 PACG eyes were randomized into the mannitol and control groups. The capsulorhexis duration, number of forceps grasps, need for viscoelastic re-injection, and intraoperative complications were recorded.
Background And Objective: Lipedema is a commonly underdiagnosed chronic condition. This study aimed to evaluate liposuction techniques for lipedema by conducting a systematic review and presenting our experience. A case series study and a comprehensive review were conducted.
View Article and Find Full Text PDFMultiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis.
World J Gastrointest Oncol
January 2025
Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.
Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).
Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.
Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study.
World J Gastrointest Oncol
January 2025
Department of Radiology, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, Guangxi Zhuang Autonomous Region, China.
Background: Microvascular invasion (MVI) is a significant risk factor for recurrence and metastasis following hepatocellular carcinoma (HCC) surgery. Currently, there is a paucity of preoperative evaluation approaches for MVI.
Aim: To investigate the predictive value of texture features and radiological signs based on multiparametric magnetic resonance imaging in the non-invasive preoperative prediction of MVI in HCC.
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