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Low interobserver agreement among subspecialised breast pathologists in evaluating HER2-low breast cancer
CONCLUSIONS: Subspecialised breast pathologists have suboptimal agreement for immunohistochemical evaluation of HLBC using the modified Ki-67 methodology. An urgent need remains for a new assay/algorithm to reliably evaluate HLBC.PMID:37714693 | DOI:10.1136/jcp-2023-209055
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Gulisa Turashvili Yuan Gao Di Andy Ai Abdulwahab M Ewaz Sandra Gjorgova Gjeorgjievski Qun Wang Thi T A Nguyen Chao Zhang Xiaoxian Li Source Type: research

Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research

The value of radiomics model based on ultrasound image features in the differentiation between minimal breast cancer and small benign breast masses
CONCLUSION: The radiomics model based on ultrasound image features has a satisfied predictive ability for small breast masses, and is expected to become a potential tool for the diagnosis of MBC, and it is a zero cost (in terms of patient participation and imaging time).PMID:37712556 | DOI:10.1002/jcu.23556
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Shuyi Lyu Meiwu Zhang Baisong Zhang Jiazhen Zhu Libo Gao Yuqin Qiu Liu Yang Yan Zhang Source Type: research

Screening of immune-related lncRNAs in lung adenocarcinoma and establishing a survival prognostic risk prediction model
CONCLUSION: We have established a promising LUAD patient survival prediction model based on six immune-related lncRNAs. For LUAD patients, this prognostic model could guide personalized treatment.PMID:37711103 | DOI:10.2174/1386207326666230913120523
Source: Combinatorial Chemistry and High Throughput Screening - September 15, 2023 Category: Chemistry Authors: Wenxia Jiang Xuyou Zhu Jiaqi Bo Jun Ma Source Type: research

Effects of combined strength and endurance training on exercise capacity in kidney transplant cyclists and runners
CONCLUSIONS: These findings indicate that the combined strength and endurance training is well tolerated and may improve exercise performance in this selected population of KTRs.PMID:37712239 | DOI:10.4415/ANN_23_03_07
Source: Annali dell'Istituto Superiore di Sanita - September 15, 2023 Category: International Medicine & Public Health Authors: Valentina Totti Rocco Di Michele Giulio Sergio Roi Sandro Bartolomei Giovanni Mosconi Gianluigi Sella Alessandro Nanni Costa Gabriela Sangiorgi Manuela Trerotola Lia Bellis Franco Merni Massimo Cardillo Source Type: research

Culture, religion and gender: considerations in facing migration related health inequalities in Italy
Ann Ist Super Sanita. 2023 Jul-Sep;59(3):199-203. doi: 10.4415/ANN_23_03_05.ABSTRACTThe presence in Italy of a significant foreign population (5-6 million including both formally residents and not officially registered ones) introduces significant transformations in the Italian demography with important challenges on ensuring fundamental rights including work, education and above all, health. Access to healthcare. Issues common to the entire migrant population concern the difficulty of accessing the health system of the host country due to the lack of knowledge of its rules and its functioning, the linguistic and cultural ...
Source: Annali dell'Istituto Superiore di Sanita - September 15, 2023 Category: International Medicine & Public Health Authors: Claudio Giovannini Leuconoe Grazia Sisti Raffaella Michieli Maria Augusta Angelucci Walter Ricciardi Walter Malorni Source Type: research

Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort
CONCLUSIONS: This study demonstrated a deep learning-based auto-segmentation model trained on curated clinical delineations which performs on par with a model trained on dedicated delineations, making it easier to develop multi-institutional auto-segmentation models.PMID:37712509 | DOI:10.1080/0284186X.2023.2252582
Source: Acta Oncologica - September 15, 2023 Category: Cancer & Oncology Authors: Emma Riis Skars ø Lasse Refsgaard Abhilasha Saini Ditte Sloth M øller Ebbe Laugaard Lorenzen Else Maae Karen Andersen Maja Vestm ø Maraldo Marie Louise Milo Tine Bisballe Nyeng Birgitte Vrou Offersen Stine Sofia Korreman Source Type: research

Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair
CONCLUSIONS: In this data set, machine learning was able to predict 1-year mortality following EVAR using preoperative data and outperformed standard logistic regression models.PMID:37710397 | DOI:10.1093/bjs/znad287
Source: The British Journal of Surgery - September 15, 2023 Category: Surgery Authors: Ben Li Badr Aljabri Raj Verma Derek Beaton Naomi Eisenberg Douglas S Lee Duminda N Wijeysundera Thomas L Forbes Ori D Rotstein Charles de Mestral Muhammad Mamdani Graham Roche-Nagle Mohammed Al-Omran Source Type: research

TransQA: deep hybrid transformer network for measurement-guided volumetric dose prediction of pre-treatment patient-specific quality assurance
Phys Med Biol. 2023 Sep 15. doi: 10.1088/1361-6560/acfa5e. Online ahead of print.ABSTRACTOBJECTIVE: Performing pre-treatment patient-specific quality assurance (prePSQA) is considered an essential, time-consuming, and resource-intensive task for volumetric modulated arc radiotherapy (VMAT) which confirms the dose accuracy and ensure patient safety. Most current machine learning and deep learning approaches stack excessive convolutional/pooling operations (CPs) to predict prePSQA with two-dimensional or one-dimensional information input. However, these models generally present limitations in explicitly modeling long-range d...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Lingpeng Zeng Minghui Zhang Yun Zhang Zhongsheng Zou Yu Guan Bin Huang Xiuwen Yu Shenggou Ding Qiegen Liu Changfei Gong Source Type: research

Physical model-based cascaded generative adversarial networks for accelerating quantitative multi-parametric magnetic resonance imaging
CONCLUSION: Compared with other existing methods, the physical model-based cascaded generative adversarial networks can reconstruct more image details and features, thus improving the quality and accuracy of the reconstructed images.PMID:37712278 | PMC:PMC10505569 | DOI:10.12122/j.issn.1673-4254.2023.08.18
Source: Journal of Southern Medical University - September 15, 2023 Category: Universities & Medical Training Authors: Y Liu Z Chu Y Zhang Source Type: research

Effects of combined strength and endurance training on exercise capacity in kidney transplant cyclists and runners
CONCLUSIONS: These findings indicate that the combined strength and endurance training is well tolerated and may improve exercise performance in this selected population of KTRs.PMID:37712239 | DOI:10.4415/ANN_23_03_07
Source: Ann Ist Super Sanita - September 15, 2023 Category: Biomedical Science Authors: Valentina Totti Rocco Di Michele Giulio Sergio Roi Sandro Bartolomei Giovanni Mosconi Gianluigi Sella Alessandro Nanni Costa Gabriela Sangiorgi Manuela Trerotola Lia Bellis Franco Merni Massimo Cardillo Source Type: research

Culture, religion and gender: considerations in facing migration related health inequalities in Italy
Ann Ist Super Sanita. 2023 Jul-Sep;59(3):199-203. doi: 10.4415/ANN_23_03_05.ABSTRACTThe presence in Italy of a significant foreign population (5-6 million including both formally residents and not officially registered ones) introduces significant transformations in the Italian demography with important challenges on ensuring fundamental rights including work, education and above all, health. Access to healthcare. Issues common to the entire migrant population concern the difficulty of accessing the health system of the host country due to the lack of knowledge of its rules and its functioning, the linguistic and cultural ...
Source: Ann Ist Super Sanita - September 15, 2023 Category: Biomedical Science Authors: Claudio Giovannini Leuconoe Grazia Sisti Raffaella Michieli Maria Augusta Angelucci Walter Ricciardi Walter Malorni Source Type: research

Low interobserver agreement among subspecialised breast pathologists in evaluating HER2-low breast cancer
CONCLUSIONS: Subspecialised breast pathologists have suboptimal agreement for immunohistochemical evaluation of HLBC using the modified Ki-67 methodology. An urgent need remains for a new assay/algorithm to reliably evaluate HLBC.PMID:37714693 | DOI:10.1136/jcp-2023-209055
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Gulisa Turashvili Yuan Gao Di Andy Ai Abdulwahab M Ewaz Sandra Gjorgova Gjeorgjievski Qun Wang Thi T A Nguyen Chao Zhang Xiaoxian Li Source Type: research

Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research

The value of radiomics model based on ultrasound image features in the differentiation between minimal breast cancer and small benign breast masses
CONCLUSION: The radiomics model based on ultrasound image features has a satisfied predictive ability for small breast masses, and is expected to become a potential tool for the diagnosis of MBC, and it is a zero cost (in terms of patient participation and imaging time).PMID:37712556 | DOI:10.1002/jcu.23556
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Shuyi Lyu Meiwu Zhang Baisong Zhang Jiazhen Zhu Libo Gao Yuqin Qiu Liu Yang Yan Zhang Source Type: research