Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: Diagnostic performance and outcomes using biparametric vs. multiparametric MRI Journal Article


Authors: Woo, S.; Becker, A. S.; Das, J. P.; Ghafoor, S.; Arita, Y.; Benfante, N.; Gangai, N.; Teo, M. Y.; Goh, A. C.; Vargas, H. A.
Article Title: Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: Diagnostic performance and outcomes using biparametric vs. multiparametric MRI
Abstract: 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: BP-MRI was more accurate than MP-MRI for identifying residual disease after NAC. A negative BP-MRI was associated with better outcomes, providing complementary information to pathological assessment of cystectomy specimens. © 2023, The Author(s).
Keywords: survival; adult; cancer survival; treatment outcome; treatment response; aged; retrospective studies; major clinical study; clinical feature; cisplatin; doxorubicin; gemcitabine; paclitaxel; cancer patient; disease free survival; neoadjuvant therapy; gadolinium; methotrexate; magnetic resonance imaging; cancer diagnosis; diagnostic accuracy; sensitivity and specificity; carboplatin; etoposide; pathology; diagnostic imaging; retrospective study; bladder tumor; urinary bladder neoplasms; vinblastine; confidence interval; proportional hazards model; radiologist; diagnostic value; minimal residual disease; neoplasm, residual; radical cystectomy; cystectomy; intermethod comparison; hazard ratio; kaplan meier method; neoadjuvant chemotherapy; dynamic contrast-enhanced magnetic resonance imaging; diffusion weighted imaging; receiver operating characteristic; urothelial; muscle; muscles; response assessment; diagnostic test accuracy study; muscle invasive bladder cancer; procedures; cancer prognosis; muscle-invasive bladder cancer; multiparametric magnetic resonance imaging; humans; prognosis; human; male; female; article; multiparametric; t2 weighted imaging; biparametric; biparametric magnetic resonance imaging
Journal Title: Cancer Imaging
Volume: 23
ISSN: 1470-7330
Publisher: Biomed Central Ltd  
Date Published: 2023-11-14
Start Page: 110
Language: English
DOI: 10.1186/s40644-023-00632-0
PUBMED: 37964386
PROVIDER: scopus
PMCID: PMC10644594
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Corresponding author is MSK author: Sungmin Woo -- Source: Scopus
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MSK Authors
  1. Min Yuen   Teo
    104 Teo
  2. Nicole E Benfante
    160 Benfante
  3. Natalie Gangai
    61 Gangai
  4. Alvin Chun chin Goh
    72 Goh
  5. Sungmin Woo
    62 Woo
  6. Anton Sebastian Becker
    40 Becker
  7. Jeeban Paul Das
    41 Das
  8. Yuki Arita
    16 Arita