Electronic Resource
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI
العنوان: | Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI |
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المؤلفون: | Woo, Sungmin; https://orcid.org/0000-0001-8459-8369, Becker, Anton S; https://orcid.org/0000-0001-8372-6496, Das, Jeeban P, Ghafoor, Soleen; https://orcid.org/0000-0002-8459-7363, Arita, Yuki, Benfante, Nicole, Gangai, Natalie, Teo, Min Yuen, Goh, Alvin C, Vargas, Hebert A |
المصدر: | Woo, Sungmin; Becker, Anton S; Das, Jeeban P; Ghafoor, Soleen; Arita, Yuki; Benfante, Nicole; Gangai, Natalie; Teo, Min Yuen; Goh, Alvin C; Vargas, Hebert A (2023). Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI. Cancer Imaging, 23(1):110. |
بيانات النشر: | BioMed Central 2023-11-14 |
نوع الوثيقة: | Electronic Resource |
مستخلص: | BACKGROUND Neoadjuvant chemotherapy (NAC) before radical cystectomy is standard of care in patients with muscle-invasive bladder cancer (MIBC). Response assessment after NAC is important but suboptimal using CT. We assessed MRI without vs. with intravenous contrast (biparametric [BP] vs. multiparametric [MP]) for identifying residual disease on cystectomy and explored its prognostic role. METHODS Consecutive MIBC patients that underwent NAC, MRI, and cystectomy between January 2000-November 2022 were identified. Two radiologists reviewed BP-MRI (T2 + DWI) and MP-MRI (T2 + DWI + DCE) for residual tumor. Diagnostic performances were compared using receiver operating characteristic curve analysis. Kaplan-Meier curves and Cox proportional-hazards models were used to evaluate association with disease-free survival (DFS). RESULTS 61 patients (36 men and 25 women; median age 65 years, interquartile range 59-72) were included. After NAC, no residual disease was detected on pathology in 19 (31.1%) patients. BP-MRI was more accurate than MP-MRI for detecting residual disease after NAC: area under the curve = 0.75 (95% confidence interval (CI), 0.62-0.85) vs. 0.58 (95% CI, 0.45-0.70; p = 0.043). Sensitivity were identical (65.1%; 95% CI, 49.1-79.0) but specificity was higher in BP-MRI compared with MP-MRI for determining residual disease: 77.8% (95% CI, 52.4-93.6) vs. 38.9% (95% CI, 17.3-64.3), respectively. Positive BP-MRI and residual disease on pathology were both associated with worse DFS: hazard ratio (HR) = 4.01 (95% CI, 1.70-9.46; p = 0.002) and HR = 5.13 (95% CI, 2.66-17.13; p = 0.008), respectively. Concordance between MRI and pathology results was significantly associated with DFS. Concordant positive (MRI+/pathology+) patients showed worse DFS than concordant negative (MRI-/pathology-) patients (HR = 8.75, 95% CI, 2.02-37.82; p = 0.004) and compared to the discordant group (MRI+/pathology- or MRI-/pathology+) with HR = 3.48 (95% CI, 1.39-8.71; p = 0.014). CONCLUSION |
مصطلحات الفهرس: | Clinic for Diagnostic and Interventional Radiology, 610 Medicine & health, Journal Article, PeerReviewed, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion |
URL: | PMCID: PMC10644594 10.1186/s40644-023-00632-0 |
الاتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess Creative Commons: Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
ملاحظة: | application/pdf info:doi/10.5167/uzh-239080 English English |
Other Numbers: | CHUZH oai:www.zora.uzh.ch:239080 https://www.zora.uzh.ch/id/eprint/239080/1/ZORA239080.pdf info:doi/10.5167/uzh-239080 info:doi/10.1186/s40644-023-00632-0 info:pmid/37964386 urn:issn:1470-7330 1443054596 |
المصدر المساهم: | HAUPTBIBLIOTHEK UNIV OF ZURICH From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1443054596 |
قاعدة البيانات: | OAIster |
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