T.S.A. Kwong , H.S. Leung , F.K.F. Mo , Y.M. Tsang , L. Lan , L.M. Wong , T.Y. So , E.P. Hui , B.B.Y. Ma , A.D. King , Q.Y.H. Ai
{"title":"在晚期鼻咽癌的疗效预测方面,通过磁共振成像测量体积来评估诱导化疗的治疗反应优于RECIST指南。","authors":"T.S.A. Kwong , H.S. Leung , F.K.F. Mo , Y.M. Tsang , L. Lan , L.M. Wong , T.Y. So , E.P. Hui , B.B.Y. Ma , A.D. King , Q.Y.H. Ai","doi":"10.1016/j.esmoop.2024.103933","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Treatment response evaluated by tumour size change is an important indicator for outcome prediction. Advanced nasopharyngeal carcinoma (adNPC) grows irregularly, and so the unidimensional measurement may not be accurately applied to adNPC for outcome prediction. This study aimed to evaluate values of unidimensional and volumetric measurements for treatment response to induction chemotherapy (IC) for outcome prediction in adNPC and compared the values with that of RECIST 1.1 guideline.</div></div><div><h3>Materials and methods</h3><div>Pre-treatment and post-IC magnetic resonance images (MRIs) from 124 patients with stage III-IVA NPC were retrospectively reviewed. Sums of the maximum unidimensional diameters (D) and volumes of the targeted tumours (primary tumour and two largest metastatic lymph nodes) on the pre- (D<sub>pre</sub> and V<sub>pre</sub>) and post-IC MRIs (D<sub>post-IC</sub> and V<sub>post-IC</sub>) and percentage changes in D (Δ D%) and V (ΔV%) between two scans were calculated and correlated with disease-free survival (DFS), locoregional recurrence-free survival (LRRFS), and distant metastases-free survival (DMFS) using Cox regression analysis. Area under the curves (AUCs) of independent measurements and RECIST groups (RECIST response and non-response groups) for predicting disease recurrence, locoregional recurrence, and distant metastases, respectively, were calculated and compared using the DeLong test.</div></div><div><h3>Results</h3><div>Univariable analysis showed correlations between high D<sub>post-IC</sub> with poor DFS and DMFS (<em>P</em> < 0.05), but not with LRRFS (<em>P</em> = 0.07); high V<sub>post-IC</sub> and low ΔV% (less decrease in volume on post-IC) with poor DFS, LRRFS, and DMFS (<em>P</em> < 0.05); and no correlations between D<sub>pre</sub>, ΔD%, and V<sub>pre</sub> and the outcomes (<em>P</em> > 0.05). Multivariable analysis showed that ΔV% was the only independent measurement for outcomes (<em>P</em> < 0.05). Compared with RECIST groups, ΔV% of 47.9% (median value) showed a higher AUC for disease recurrence (0.682 versus 0.526, <em>P</em> < 0.01) and for locoregional recurrence (0.782 versus 0.585, <em>P</em> < 0.01), but not for distant metastases (0.593 versus 0.518, <em>P</em> = 0.26).</div></div><div><h3>Conclusions</h3><div>Volumetric measurement to evaluate treatment response to IC outperformed unidimensional measurement and RECIST guideline in outcome prediction in adNPC.</div></div>","PeriodicalId":11877,"journal":{"name":"ESMO Open","volume":"9 10","pages":"Article 103933"},"PeriodicalIF":7.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Volumetric measurement to evaluate treatment response to induction chemotherapy on MRI outperformed RECIST guideline in outcome prediction in advanced nasopharyngeal carcinoma\",\"authors\":\"T.S.A. Kwong , H.S. Leung , F.K.F. Mo , Y.M. Tsang , L. Lan , L.M. Wong , T.Y. So , E.P. Hui , B.B.Y. Ma , A.D. King , Q.Y.H. Ai\",\"doi\":\"10.1016/j.esmoop.2024.103933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Treatment response evaluated by tumour size change is an important indicator for outcome prediction. Advanced nasopharyngeal carcinoma (adNPC) grows irregularly, and so the unidimensional measurement may not be accurately applied to adNPC for outcome prediction. This study aimed to evaluate values of unidimensional and volumetric measurements for treatment response to induction chemotherapy (IC) for outcome prediction in adNPC and compared the values with that of RECIST 1.1 guideline.</div></div><div><h3>Materials and methods</h3><div>Pre-treatment and post-IC magnetic resonance images (MRIs) from 124 patients with stage III-IVA NPC were retrospectively reviewed. Sums of the maximum unidimensional diameters (D) and volumes of the targeted tumours (primary tumour and two largest metastatic lymph nodes) on the pre- (D<sub>pre</sub> and V<sub>pre</sub>) and post-IC MRIs (D<sub>post-IC</sub> and V<sub>post-IC</sub>) and percentage changes in D (Δ D%) and V (ΔV%) between two scans were calculated and correlated with disease-free survival (DFS), locoregional recurrence-free survival (LRRFS), and distant metastases-free survival (DMFS) using Cox regression analysis. Area under the curves (AUCs) of independent measurements and RECIST groups (RECIST response and non-response groups) for predicting disease recurrence, locoregional recurrence, and distant metastases, respectively, were calculated and compared using the DeLong test.</div></div><div><h3>Results</h3><div>Univariable analysis showed correlations between high D<sub>post-IC</sub> with poor DFS and DMFS (<em>P</em> < 0.05), but not with LRRFS (<em>P</em> = 0.07); high V<sub>post-IC</sub> and low ΔV% (less decrease in volume on post-IC) with poor DFS, LRRFS, and DMFS (<em>P</em> < 0.05); and no correlations between D<sub>pre</sub>, ΔD%, and V<sub>pre</sub> and the outcomes (<em>P</em> > 0.05). Multivariable analysis showed that ΔV% was the only independent measurement for outcomes (<em>P</em> < 0.05). Compared with RECIST groups, ΔV% of 47.9% (median value) showed a higher AUC for disease recurrence (0.682 versus 0.526, <em>P</em> < 0.01) and for locoregional recurrence (0.782 versus 0.585, <em>P</em> < 0.01), but not for distant metastases (0.593 versus 0.518, <em>P</em> = 0.26).</div></div><div><h3>Conclusions</h3><div>Volumetric measurement to evaluate treatment response to IC outperformed unidimensional measurement and RECIST guideline in outcome prediction in adNPC.</div></div>\",\"PeriodicalId\":11877,\"journal\":{\"name\":\"ESMO Open\",\"volume\":\"9 10\",\"pages\":\"Article 103933\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESMO Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2059702924017034\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESMO Open","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2059702924017034","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Volumetric measurement to evaluate treatment response to induction chemotherapy on MRI outperformed RECIST guideline in outcome prediction in advanced nasopharyngeal carcinoma
Background
Treatment response evaluated by tumour size change is an important indicator for outcome prediction. Advanced nasopharyngeal carcinoma (adNPC) grows irregularly, and so the unidimensional measurement may not be accurately applied to adNPC for outcome prediction. This study aimed to evaluate values of unidimensional and volumetric measurements for treatment response to induction chemotherapy (IC) for outcome prediction in adNPC and compared the values with that of RECIST 1.1 guideline.
Materials and methods
Pre-treatment and post-IC magnetic resonance images (MRIs) from 124 patients with stage III-IVA NPC were retrospectively reviewed. Sums of the maximum unidimensional diameters (D) and volumes of the targeted tumours (primary tumour and two largest metastatic lymph nodes) on the pre- (Dpre and Vpre) and post-IC MRIs (Dpost-IC and Vpost-IC) and percentage changes in D (Δ D%) and V (ΔV%) between two scans were calculated and correlated with disease-free survival (DFS), locoregional recurrence-free survival (LRRFS), and distant metastases-free survival (DMFS) using Cox regression analysis. Area under the curves (AUCs) of independent measurements and RECIST groups (RECIST response and non-response groups) for predicting disease recurrence, locoregional recurrence, and distant metastases, respectively, were calculated and compared using the DeLong test.
Results
Univariable analysis showed correlations between high Dpost-IC with poor DFS and DMFS (P < 0.05), but not with LRRFS (P = 0.07); high Vpost-IC and low ΔV% (less decrease in volume on post-IC) with poor DFS, LRRFS, and DMFS (P < 0.05); and no correlations between Dpre, ΔD%, and Vpre and the outcomes (P > 0.05). Multivariable analysis showed that ΔV% was the only independent measurement for outcomes (P < 0.05). Compared with RECIST groups, ΔV% of 47.9% (median value) showed a higher AUC for disease recurrence (0.682 versus 0.526, P < 0.01) and for locoregional recurrence (0.782 versus 0.585, P < 0.01), but not for distant metastases (0.593 versus 0.518, P = 0.26).
Conclusions
Volumetric measurement to evaluate treatment response to IC outperformed unidimensional measurement and RECIST guideline in outcome prediction in adNPC.
期刊介绍:
ESMO Open is the online-only, open access journal of the European Society for Medical Oncology (ESMO). It is a peer-reviewed publication dedicated to sharing high-quality medical research and educational materials from various fields of oncology. The journal specifically focuses on showcasing innovative clinical and translational cancer research.
ESMO Open aims to publish a wide range of research articles covering all aspects of oncology, including experimental studies, translational research, diagnostic advancements, and therapeutic approaches. The content of the journal includes original research articles, insightful reviews, thought-provoking editorials, and correspondence. Moreover, the journal warmly welcomes the submission of phase I trials and meta-analyses. It also showcases reviews from significant ESMO conferences and meetings, as well as publishes important position statements on behalf of ESMO.
Overall, ESMO Open offers a platform for scientists, clinicians, and researchers in the field of oncology to share their valuable insights and contribute to advancing the understanding and treatment of cancer. The journal serves as a source of up-to-date information and fosters collaboration within the oncology community.