Bladder Cancer Staging and Prediction of New Adjuvant Chemotherapy Efficacy Based on Deep Learning and Transfer Learning in Ultrasound-Magnetic Resonance-Pathology Multimodal Multiscale

Bladder cancer is the most common malignant tumor of the urinary system. The presence or absence of muscle invasion in early bladder cancer is an independent prognostic factor. The involvement of muscle invasion affects the choice of surgical methods and treatment. Preoperatively, the precise assessment of bladder cancer staging has important practical value. A more accurate preoperative assessment of bladder cancer staging can reduce overtreatment and provide a favorable basis for clinicians to choose more reasonable and effective surgical methods. Clinically, there has been a longstanding desire to diagnose the staging of bladder cancer through a simple, convenient, effective, and non-invasive examination. As relevant research progresses, a multi-omics diagnostic model will be beneficial in improving diagnostic efficiency. This project aims to establish a multi-omics artificial intelligence system based on deep learning and transfer learning to accurately diagnose the staging of bladder cancer and predict the efficacy of neoadjuvant chemotherapy. This system will assist in clinical treatment decision-making.

Sex

All

Inclusion Criteria:

1. Ultrasound and other imaging examinations (CT, MR, etc.) suggest bladder masses and are suspicious for bladder cancer patients.
2. The bladder is well filled, and no allergic reactions to ultrasound contrast agents are found.
3. No surgery or radiotherapy/chemotherapy has been performed.
4. Patients who meet the indications for surgical resection and are planned for surgical treatment, including one of the following:

   1. Clinical symptoms consistent with suspected bladder cancer (such as gross hematuria, etc.);
   2. Patients with confirmed primary or recurrent bladder cancer by cystoscopic biopsy;
   3. Rapid urine cytology and urine cytology FISH testing suggest malignancy.

Exclusion Criteria:

1. Individuals unable to tolerate surgery;
2. Individuals allergic to ultrasound contrast agents, unable to undergo ultrasound contrast examination;
3. Unsuccessful preoperative ultrasound contrast examination or non-compliant patients;
4. Postoperative pathology does not indicate bladder cancer;
5. Patients who have undergone chemotherapy or radiation therapy.

• BACKGROUNDSung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4. PMID 33538338
• BACKGROUNDAntoni S, Ferlay J, Soerjomataram I, Znaor A, Jemal A, Bray F. Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends. Eur Urol. 2017 Jan;71(1):96-108. doi: 10.1016/j.eururo.2016.06.010. Epub 2016 Jun 28. PMID 27370177
• BACKGROUNDHumphrey PA, Moch H, Cubilla AL, Ulbright TM, Reuter VE. The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs-Part B: Prostate and Bladder Tumours. Eur Urol. 2016 Jul;70(1):106-119. doi: 10.1016/j.eururo.2016.02.028. Epub 2016 Mar 17. PMID 26996659
• BACKGROUNDFlaig TW, Spiess PE, Agarwal N, Bangs R, Boorjian SA, Buyyounouski MK, Chang S, Downs TM, Efstathiou JA, Friedlander T, Greenberg RE, Guru KA, Guzzo T, Herr HW, Hoffman-Censits J, Hoimes C, Inman BA, Jimbo M, Kader AK, Lele SM, Michalski J, Montgomery JS, Nandagopal L, Pagliaro LC, Pal SK, Patterson A, Plimack ER, Pohar KS, Preston MA, Sexton WJ, Siefker-Radtke AO, Tward J, Wright JL, Gurski LA, Johnson-Chilla A. Bladder Cancer, Version 3.2020, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2020 Mar;18(3):329-354. doi: 10.6004/jnccn.2020.0011. PMID 32135513
• BACKGROUNDGrossman HB, Natale RB, Tangen CM, Speights VO, Vogelzang NJ, Trump DL, deVere White RW, Sarosdy MF, Wood DP Jr, Raghavan D, Crawford ED. Neoadjuvant chemotherapy plus cystectomy compared with cystectomy alone for locally advanced bladder cancer. N Engl J Med. 2003 Aug 28;349(9):859-66. doi: 10.1056/NEJMoa022148. PMID 12944571
• BACKGROUNDYin M, Joshi M, Meijer RP, Glantz M, Holder S, Harvey HA, Kaag M, Fransen van de Putte EE, Horenblas S, Drabick JJ. Neoadjuvant Chemotherapy for Muscle-Invasive Bladder Cancer: A Systematic Review and Two-Step Meta-Analysis. Oncologist. 2016 Jun;21(6):708-15. doi: 10.1634/theoncologist.2015-0440. Epub 2016 Apr 6.