The Lancet Oncology最新文献

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Omitting study limitations might have implications for the patients 忽略研究的局限性可能会对患者产生影响
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00566-7
Paul de Boissieu, Sylvie Chevret
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引用次数: 0
Site-specific or empirical chemotherapy for cancer of unknown primary: the right answer? 原发灶不明癌症的部位特异性化疗或经验性化疗:正确答案?
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00562-x
Ryan Huey, Kanwal Raghav
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引用次数: 0
Concerns regarding the AtTEnd trial in advanced endometrial carcinoma 对晚期子宫内膜癌 AtTEnd 试验的担忧
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00501-1
Ze Xiang, Jian Wu
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引用次数: 0
Celiac plexus radiosurgery for retroperitoneal pain syndrome – Authors' reply 腹腔后疼痛综合征的腹腔神经丛放射手术 - 作者回复
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00568-0
Yaacov R Lawrence, Ronen Fluss, Laurence S Freedman, Zvi Symon
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引用次数: 0
PSMA-PET research: addressing challenges and prospects PSMA-PET 研究:应对挑战,展望未来
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00439-x
Hantong Hu
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引用次数: 0
Omitting study limitations might have implications for the patients – Authors' reply 忽略研究的局限性可能会对患者产生影响 - 作者的回复
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00571-0
Jean-Yves Blay, Sylvie Chabaud, David Perol, Axel Le Cesne
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引用次数: 0
Celiac plexus radiosurgery for retroperitoneal pain syndrome 治疗腹膜后疼痛综合征的腹腔神经丛放射外科手术
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00532-1
Ertugrul Senturk, Serap Catli Dinc
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引用次数: 0
Concerns regarding the AtTEnd trial in advanced endometrial carcinoma – Authors' reply 对晚期子宫内膜癌 AtTEnd 试验的担忧 - 作者回复
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00579-5
Elena Biagioli, Eliana Rulli, Roldano Fossati, Nicoletta Colombo
{"title":"Concerns regarding the AtTEnd trial in advanced endometrial carcinoma – Authors' reply","authors":"Elena Biagioli, Eliana Rulli, Roldano Fossati, Nicoletta Colombo","doi":"10.1016/s1470-2045(24)00579-5","DOIUrl":"https://doi.org/10.1016/s1470-2045(24)00579-5","url":null,"abstract":"No Abstract","PeriodicalId":22865,"journal":{"name":"The Lancet Oncology","volume":"123 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142520033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction to Lancet Oncol 2024; 25: 1453–64 Lancet Oncol 2024; 25: 1453-64 更正
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00593-x
{"title":"Correction to Lancet Oncol 2024; 25: 1453–64","authors":"","doi":"10.1016/s1470-2045(24)00593-x","DOIUrl":"https://doi.org/10.1016/s1470-2045(24)00593-x","url":null,"abstract":"No Abstract","PeriodicalId":22865,"journal":{"name":"The Lancet Oncology","volume":"102 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice 神经肿瘤学反应评估人工智能(AI-RANO),第 2 部分:标准化、验证和良好临床实践建议
The Lancet Oncology Pub Date : 2024-10-28 DOI: 10.1016/s1470-2045(24)00315-2
Spyridon Bakas, Philipp Vollmuth, Norbert Galldiks, Thomas C Booth, Hugo J W L Aerts, Wenya Linda Bi, Benedikt Wiestler, Pallavi Tiwari, Sarthak Pati, Ujjwal Baid, Evan Calabrese, Philipp Lohmann, Martha Nowosielski, Rajan Jain, Rivka Colen, Marwa Ismail, Ghulam Rasool, Janine M Lupo, Hamed Akbari, Joerg C Tonn, Raymond Y Huang
{"title":"Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice","authors":"Spyridon Bakas, Philipp Vollmuth, Norbert Galldiks, Thomas C Booth, Hugo J W L Aerts, Wenya Linda Bi, Benedikt Wiestler, Pallavi Tiwari, Sarthak Pati, Ujjwal Baid, Evan Calabrese, Philipp Lohmann, Martha Nowosielski, Rajan Jain, Rivka Colen, Marwa Ismail, Ghulam Rasool, Janine M Lupo, Hamed Akbari, Joerg C Tonn, Raymond Y Huang","doi":"10.1016/s1470-2045(24)00315-2","DOIUrl":"https://doi.org/10.1016/s1470-2045(24)00315-2","url":null,"abstract":"Technological advancements have enabled the extended investigation, development, and application of computational approaches in various domains, including health care. A burgeoning number of diagnostic, predictive, prognostic, and monitoring biomarkers are continuously being explored to improve clinical decision making in neuro-oncology. These advancements describe the increasing incorporation of artificial intelligence (AI) algorithms, including the use of radiomics. However, the broad applicability and clinical translation of AI are restricted by concerns about generalisability, reproducibility, scalability, and validation. This Policy Review intends to serve as the leading resource of recommendations for the standardisation and good clinical practice of AI approaches in health care, particularly in neuro-oncology. To this end, we investigate the repeatability, reproducibility, and stability of AI in response assessment in neuro-oncology in studies on factors affecting such computational approaches, and in publicly available open-source data and computational software tools facilitating these goals. The pathway for standardisation and validation of these approaches is discussed with the view of trustworthy AI enabling the next generation of clinical trials. We conclude with an outlook on the future of AI-enabled neuro-oncology.","PeriodicalId":22865,"journal":{"name":"The Lancet Oncology","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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