Ines Horvat-Menih, Mary McLean, Maria Jesus Zamora-Morales, Marta Wylot, Joshua Kaggie, Alixander S Khan, Andrew B Gill, Joao Duarte, Matthew J Locke, Iosif A Mendichovszky, Hao Li, Andrew N Priest, Anne Y Warren, Sarah J Welsh, James O Jones, James N Armitage, Thomas J Mitchell, Grant D Stewart, Ferdia A Gallagher
{"title":"利用先进的磁共振成像技术(IBM-Renal)研究良性和恶性肾肿块之间的生物学差异:一项多臂、非随机可行性研究","authors":"Ines Horvat-Menih, Mary McLean, Maria Jesus Zamora-Morales, Marta Wylot, Joshua Kaggie, Alixander S Khan, Andrew B Gill, Joao Duarte, Matthew J Locke, Iosif A Mendichovszky, Hao Li, Andrew N Priest, Anne Y Warren, Sarah J Welsh, James O Jones, James N Armitage, Thomas J Mitchell, Grant D Stewart, Ferdia A Gallagher","doi":"10.1101/2024.05.03.24306816","DOIUrl":null,"url":null,"abstract":"<strong>Introduction</strong> Localised renal masses are an increasing burden on healthcare due to the rising number of cases. However, conventional imaging cannot reliably distinguish between benign and malignant renal masses, and renal mass biopsies are unable to characterise the entirety of the tumour due to sampling error, which may lead to delayed treatment or overtreatment. There is an unmet clinical need to develop novel imaging techniques to characterise renal masses more accurately. Renal tumours demonstrate characteristic metabolic reprogramming, and novel MRI methods have the potential to detect these metabolic perturbations which may therefore aid accurate characterisation. Here we present our study protocol for the Investigation of the differential biology of Benign and Malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal).","PeriodicalId":501358,"journal":{"name":"medRxiv - Radiology and Imaging","volume":"335 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of the differential biology between benign and malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal): a multi-arm, non-randomised feasibility study\",\"authors\":\"Ines Horvat-Menih, Mary McLean, Maria Jesus Zamora-Morales, Marta Wylot, Joshua Kaggie, Alixander S Khan, Andrew B Gill, Joao Duarte, Matthew J Locke, Iosif A Mendichovszky, Hao Li, Andrew N Priest, Anne Y Warren, Sarah J Welsh, James O Jones, James N Armitage, Thomas J Mitchell, Grant D Stewart, Ferdia A Gallagher\",\"doi\":\"10.1101/2024.05.03.24306816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Introduction</strong> Localised renal masses are an increasing burden on healthcare due to the rising number of cases. However, conventional imaging cannot reliably distinguish between benign and malignant renal masses, and renal mass biopsies are unable to characterise the entirety of the tumour due to sampling error, which may lead to delayed treatment or overtreatment. There is an unmet clinical need to develop novel imaging techniques to characterise renal masses more accurately. Renal tumours demonstrate characteristic metabolic reprogramming, and novel MRI methods have the potential to detect these metabolic perturbations which may therefore aid accurate characterisation. Here we present our study protocol for the Investigation of the differential biology of Benign and Malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal).\",\"PeriodicalId\":501358,\"journal\":{\"name\":\"medRxiv - Radiology and Imaging\",\"volume\":\"335 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Radiology and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.05.03.24306816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Radiology and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.05.03.24306816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation of the differential biology between benign and malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal): a multi-arm, non-randomised feasibility study
Introduction Localised renal masses are an increasing burden on healthcare due to the rising number of cases. However, conventional imaging cannot reliably distinguish between benign and malignant renal masses, and renal mass biopsies are unable to characterise the entirety of the tumour due to sampling error, which may lead to delayed treatment or overtreatment. There is an unmet clinical need to develop novel imaging techniques to characterise renal masses more accurately. Renal tumours demonstrate characteristic metabolic reprogramming, and novel MRI methods have the potential to detect these metabolic perturbations which may therefore aid accurate characterisation. Here we present our study protocol for the Investigation of the differential biology of Benign and Malignant renal masses using advanced magnetic resonance imaging techniques (IBM-Renal).