Artificial Intelligence Neuropathologist

NCT05300113 | Unknown

• 1 other identifier: KY2017-340
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief Summary

CNS tumor requires biopsy for pathological diagnosis, which is known as the "golden standard". We would like to achieve automated classification of brain tumors based on deep learning in digital histopathology images and molecular pathology results. We expect to develop an assistant system (including software and hardware), to help pathologists during their diagnosis for CNS tumor.

Conditions

CNS Tumor; Neuropathology

Keywords

CNS Tumor, Neuropathology, Deep Learning

Outcome Measures

Primary Outcomes (3)

• Automated histopathological diagnosis outcome (software development)

  After supervised training, the software of the histopathological diagnosis of CNS tumor achieve at least 70% accuracy

  Nov,2018 - Nov,2019

• Positioning platform for microscope (hardware development)

  Hardware investigation for pathology section image collection, to automatically scan the section images.

  Nov,2018 - Nov,2019

• Combine automated molecular pathological diagnosis

  Molecular information being added to the histopathological diagnosis regarding to WHO 2016 CNS Tumor guide. Combine histopathology and molecular to give final diagnosis

  Nov,2019 - Jun,2020

Secondary Outcomes (1)

• Unsupervised training with more cases to improve the system

  Nov,2019 - Nov,2022

Study Arms (1)

CNS Tumor

All patients age from 18-75 years with CNS tumors are included and count as one group

Eligibility Criteria

• Age: 18 Years - 75 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The patients enrolled from neurosurgery department of Huashan hospital.

You may qualify if:

• The participants diagnosed with brain cancer by diagnosis of WHO 2016 classification of CNS tumors.

You may not qualify if:

• Voluntarily quit

Sponsors & Collaborators

• Huashan Hospital: lead
• United Imaging Healthcare: collaborator

Study Sites (1)

Hushan Hospital, Fudan University

Shanghai, Shanghai Municipality, 200040, China

RECRUITING

Related Publications (8)

• Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 2016 Jun;131(6):803-20. doi: 10.1007/s00401-016-1545-1. Epub 2016 May 9.

  PMID: 27157931 BACKGROUND

• Wen PY, Huse JT. 2016 World Health Organization Classification of Central Nervous System Tumors. Continuum (Minneap Minn). 2017 Dec;23(6, Neuro-oncology):1531-1547. doi: 10.1212/CON.0000000000000536.

  PMID: 29200109 BACKGROUND

• Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw. 2015 Jan;61:85-117. doi: 10.1016/j.neunet.2014.09.003. Epub 2014 Oct 13.

  PMID: 25462637 BACKGROUND

• Yu KH, Zhang C, Berry GJ, Altman RB, Re C, Rubin DL, Snyder M. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features. Nat Commun. 2016 Aug 16;7:12474. doi: 10.1038/ncomms12474.

  PMID: 27527408 BACKGROUND

• Ehteshami Bejnordi B, Veta M, Johannes van Diest P, van Ginneken B, Karssemeijer N, Litjens G, van der Laak JAWM; the CAMELYON16 Consortium; Hermsen M, Manson QF, Balkenhol M, Geessink O, Stathonikos N, van Dijk MC, Bult P, Beca F, Beck AH, Wang D, Khosla A, Gargeya R, Irshad H, Zhong A, Dou Q, Li Q, Chen H, Lin HJ, Heng PA, Hass C, Bruni E, Wong Q, Halici U, Oner MU, Cetin-Atalay R, Berseth M, Khvatkov V, Vylegzhanin A, Kraus O, Shaban M, Rajpoot N, Awan R, Sirinukunwattana K, Qaiser T, Tsang YW, Tellez D, Annuscheit J, Hufnagl P, Valkonen M, Kartasalo K, Latonen L, Ruusuvuori P, Liimatainen K, Albarqouni S, Mungal B, George A, Demirci S, Navab N, Watanabe S, Seno S, Takenaka Y, Matsuda H, Ahmady Phoulady H, Kovalev V, Kalinovsky A, Liauchuk V, Bueno G, Fernandez-Carrobles MM, Serrano I, Deniz O, Racoceanu D, Venancio R. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA. 2017 Dec 12;318(22):2199-2210. doi: 10.1001/jama.2017.14585.

  PMID: 29234806 BACKGROUND

• Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017 Feb 2;542(7639):115-118. doi: 10.1038/nature21056. Epub 2017 Jan 25.

  PMID: 28117445 BACKGROUND

• Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.

  PMID: 27898976 BACKGROUND

• Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, van der Laak JAWM, van Ginneken B, Sanchez CI. A survey on deep learning in medical image analysis. Med Image Anal. 2017 Dec;42:60-88. doi: 10.1016/j.media.2017.07.005. Epub 2017 Jul 26.

  PMID: 28778026 BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Pathological Section

MeSH Terms

Conditions

Central Nervous System Neoplasms

Condition Hierarchy (Ancestors)

Nervous System Neoplasms; Neoplasms by Site; Neoplasms; Nervous System Diseases

Study Officials

• Jinsong Wu, Ph.D. & M.D

  Huashan Hospital

  STUDY CHAIR

Central Study Contacts

Jinsong Wu, Ph.D. & M.D.

CONTACT

+86-21-52880000; wjsongc@126.com

Lei Jin, B.S.

CONTACT

+8613817841756; ozlei91@126.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: March 20, 2022
• First Posted: March 29, 2022
• Study Start: May 1, 2022
• Primary Completion: December 1, 2023
• Study Completion: December 1, 2024
• Last Updated: March 29, 2022

Record last verified: 2022-03

Locations

CN (1)