Sean A Fletcher, Mufaddal M Mamawala, Albert E Holler, Yasin Bhanji, Katarzyna J Macura, Claire M de la Calle, Christian P Pavlovich
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The primary outcome was grade reclassification (GR) to grade group ≥2 disease; the secondary outcome was receipt of definitive treatment.</p><p><strong>Results: </strong>Increasing CCLO and mCCLO risk groups were associated with higher risk of GR and undergoing definitive treatment (both p < 0.001). On multivariable analysis, increasing mCCLO score was associated with higher risk of GR and receipt of definitive treatment (hazard ratios [HRs] per 1-unit increase: 1.26 [95% confidence interval [CI]: 1.12-1.41] and 1.21 [95% CI: 1.07-1.36], respectively). The model using mCCLO score to predict GR (c-index: 0.671; 95% CI: 0.621-0.721) performed at least as well as models using the number of cores positive for cancer (0.664 [0.613-0.715]; p = 0.7) and the maximum percentage of cancer in a core (0.641 [0.585-0.696]; p = 0.14).</p><p><strong>Conclusions: </strong>The CCLO score is a valid, objective metric to predict GR and receipt of treatment in a large AS cohort. The ability of the MRI-informed mCCLO to predict GR is on par with traditional metrics of tumor volume but is more descriptive and may benefit from greater reproducibility. The mCCLO score can be implemented as a shorthand, informative tool for counseling patients about whether to remain on AS.</p>","PeriodicalId":54544,"journal":{"name":"Prostate","volume":" ","pages":"723-730"},"PeriodicalIF":2.6000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cumulative cancer locations on prostate biopsy and active surveillance outcomes in the MRI era.\",\"authors\":\"Sean A Fletcher, Mufaddal M Mamawala, Albert E Holler, Yasin Bhanji, Katarzyna J Macura, Claire M de la Calle, Christian P Pavlovich\",\"doi\":\"10.1002/pros.24688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To validate the use of a cumulative cancer locations (CCLO) score, a measurement of tumor volume on biopsy, and to develop a novel magnetic resonance imaging (MRI)-informed CCLO (mCCLO) score to predict clinical outcomes on active surveillance (AS).</p><p><strong>Methods: </strong>The CCLO score is a sum of uniquely involved sextants with prostate cancer on diagnostic + confirmatory biopsy. The mCCLO score incorporates MRI findings into the CCLO score. Participants included 1284 individuals enrolled on AS between 1994 and 2022, 343 of whom underwent prostate MRI. The primary outcome was grade reclassification (GR) to grade group ≥2 disease; the secondary outcome was receipt of definitive treatment.</p><p><strong>Results: </strong>Increasing CCLO and mCCLO risk groups were associated with higher risk of GR and undergoing definitive treatment (both p < 0.001). On multivariable analysis, increasing mCCLO score was associated with higher risk of GR and receipt of definitive treatment (hazard ratios [HRs] per 1-unit increase: 1.26 [95% confidence interval [CI]: 1.12-1.41] and 1.21 [95% CI: 1.07-1.36], respectively). The model using mCCLO score to predict GR (c-index: 0.671; 95% CI: 0.621-0.721) performed at least as well as models using the number of cores positive for cancer (0.664 [0.613-0.715]; p = 0.7) and the maximum percentage of cancer in a core (0.641 [0.585-0.696]; p = 0.14).</p><p><strong>Conclusions: </strong>The CCLO score is a valid, objective metric to predict GR and receipt of treatment in a large AS cohort. The ability of the MRI-informed mCCLO to predict GR is on par with traditional metrics of tumor volume but is more descriptive and may benefit from greater reproducibility. The mCCLO score can be implemented as a shorthand, informative tool for counseling patients about whether to remain on AS.</p>\",\"PeriodicalId\":54544,\"journal\":{\"name\":\"Prostate\",\"volume\":\" \",\"pages\":\"723-730\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Prostate\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/pros.24688\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Prostate","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/pros.24688","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/13 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
背景:目的:验证累积癌症位置(CCLO)评分(活检时肿瘤体积的测量方法)的使用,并开发一种新型磁共振成像(MRI)信息CCLO(mCCLO)评分,以预测积极监测(AS)的临床结果:CCLO评分是前列腺癌诊断性+确诊性活检中唯一涉及的六分体的总和。mCCLO 评分将核磁共振成像结果纳入 CCLO 评分。参与者包括1994年至2022年期间参加AS的1284人,其中343人接受了前列腺MRI检查。主要结果是分级重新分类(GR)为≥2级组疾病;次要结果是接受明确治疗:结果:CCLO 和 mCCLO 风险组别越高,GR 和接受明确治疗的风险越高(均为 p 结论:CCLO 评分是一种有效的前列腺诊断方法:CCLO评分是预测大样本AS患者GR和接受治疗的有效、客观指标。以磁共振成像为依据的 mCCLO 预测 GR 的能力与传统的肿瘤体积指标相当,但其描述性更强,并可从更高的可重复性中获益。mCCLO 评分可作为一种简明、信息丰富的工具,用于指导患者是否继续接受 AS 治疗。
Cumulative cancer locations on prostate biopsy and active surveillance outcomes in the MRI era.
Background: To validate the use of a cumulative cancer locations (CCLO) score, a measurement of tumor volume on biopsy, and to develop a novel magnetic resonance imaging (MRI)-informed CCLO (mCCLO) score to predict clinical outcomes on active surveillance (AS).
Methods: The CCLO score is a sum of uniquely involved sextants with prostate cancer on diagnostic + confirmatory biopsy. The mCCLO score incorporates MRI findings into the CCLO score. Participants included 1284 individuals enrolled on AS between 1994 and 2022, 343 of whom underwent prostate MRI. The primary outcome was grade reclassification (GR) to grade group ≥2 disease; the secondary outcome was receipt of definitive treatment.
Results: Increasing CCLO and mCCLO risk groups were associated with higher risk of GR and undergoing definitive treatment (both p < 0.001). On multivariable analysis, increasing mCCLO score was associated with higher risk of GR and receipt of definitive treatment (hazard ratios [HRs] per 1-unit increase: 1.26 [95% confidence interval [CI]: 1.12-1.41] and 1.21 [95% CI: 1.07-1.36], respectively). The model using mCCLO score to predict GR (c-index: 0.671; 95% CI: 0.621-0.721) performed at least as well as models using the number of cores positive for cancer (0.664 [0.613-0.715]; p = 0.7) and the maximum percentage of cancer in a core (0.641 [0.585-0.696]; p = 0.14).
Conclusions: The CCLO score is a valid, objective metric to predict GR and receipt of treatment in a large AS cohort. The ability of the MRI-informed mCCLO to predict GR is on par with traditional metrics of tumor volume but is more descriptive and may benefit from greater reproducibility. The mCCLO score can be implemented as a shorthand, informative tool for counseling patients about whether to remain on AS.
期刊介绍:
The Prostate is a peer-reviewed journal dedicated to original studies of this organ and the male accessory glands. It serves as an international medium for these studies, presenting comprehensive coverage of clinical, anatomic, embryologic, physiologic, endocrinologic, and biochemical studies.