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Amgad M, Atteya LA, Hussein H, Mohammed KH, Hafiz E, Elsebaie MAT, Alhusseiny AM, AlMoslemany MA, Elmatboly AM, Pappalardo PA, Sakr RA, Mobadersany P, Rachid A, Saad AM, Alkashash AM, Ruhban IA, Alrefai A, Elgazar NM, Abdulkarim A, Farag AA, Etman A, Elsaeed AG, Alagha Y, Amer YA, Raslan AM, Nadim MK, Elsebaie MAT, Ayad A, Hanna LE, Gadallah A, Elkady M, Drumheller B, Jaye D, Manthey D, Gutman DA, Elfandy H, Cooper LAD. NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer. Gigascience 2022; 11:6586817. [PMID: 35579553 PMCID: PMC9112766 DOI: 10.1093/gigascience/giac037] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/24/2021] [Accepted: 03/18/2022] [Indexed: 01/20/2023] Open
Abstract
Background Deep learning enables accurate high-resolution mapping of cells and tissue structures that can serve as the foundation of interpretable machine-learning models for computational pathology. However, generating adequate labels for these structures is a critical barrier, given the time and effort required from pathologists. Results This article describes a novel collaborative framework for engaging crowds of medical students and pathologists to produce quality labels for cell nuclei. We used this approach to produce the NuCLS dataset, containing >220,000 annotations of cell nuclei in breast cancers. This builds on prior work labeling tissue regions to produce an integrated tissue region- and cell-level annotation dataset for training that is the largest such resource for multi-scale analysis of breast cancer histology. This article presents data and analysis results for single and multi-rater annotations from both non-experts and pathologists. We present a novel workflow that uses algorithmic suggestions to collect accurate segmentation data without the need for laborious manual tracing of nuclei. Our results indicate that even noisy algorithmic suggestions do not adversely affect pathologist accuracy and can help non-experts improve annotation quality. We also present a new approach for inferring truth from multiple raters and show that non-experts can produce accurate annotations for visually distinctive classes. Conclusions This study is the most extensive systematic exploration of the large-scale use of wisdom-of-the-crowd approaches to generate data for computational pathology applications.
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Affiliation(s)
- Mohamed Amgad
- Department of Pathology, Northwestern University, 750 N Lake Shore Dr., Chicago, IL 60611, USA
| | - Lamees A Atteya
- Cairo Health Care Administration, Egyptian Ministry of Health, 3 Magles El Shaab Street, Cairo, Postal code 222, Egypt
| | - Hagar Hussein
- Department of Pathology, Nasser institute for research and treatment, 3 Magles El Shaab Street, Cairo, Postal code 222, Egypt
| | - Kareem Hosny Mohammed
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3620 Hamilton Walk M163, Philadelphia, PA 19104, USA
| | - Ehab Hafiz
- Department of Clinical Laboratory Research, Theodor Bilharz Research Institute, 1 El-Nile Street, Imbaba Warrak El-Hadar, Giza, Postal code 12411, Egypt
| | - Maha A T Elsebaie
- Department of Medicine, Cook County Hospital, 1969 W Ogden Ave, Chicago, IL 60612, USA
| | - Ahmed M Alhusseiny
- Department of Pathology, Baystate Medical Center, University of Massachusetts, 759 Chestnut St, Springfield, MA 01199, USA
| | - Mohamed Atef AlMoslemany
- Faculty of Medicine, Menoufia University, Gamal Abd El-Nasir, Qism Shebeen El-Kom, Shibin el Kom, Menofia Governorate, Postal code: 32511, Egypt
| | - Abdelmagid M Elmatboly
- Faculty of Medicine, Al-Azhar University, 15 Mohammed Abdou, El-Darb El-Ahmar, Cairo Governorate, Postal code 11651, Egypt
| | - Philip A Pappalardo
- Consultant for The Center for Applied Proteomics and Molecular Medicine (CAPMM), George Mason University, 10920 George Mason Circle Institute for Advanced Biomedical Research Room 2008, MS1A9 Manassas, Virginia 20110, USA
| | - Rokia Adel Sakr
- Department of Pathology, National Liver Institute, Gamal Abd El-Nasir, Qism Shebeen El-Kom, Shibin el Kom, Menofia Governorate, Postal code: 32511, Egypt
| | - Pooya Mobadersany
- Department of Pathology, Northwestern University, 750 N Lake Shore Dr., Chicago, IL 60611, USA
| | - Ahmad Rachid
- Faculty of Medicine, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Anas M Saad
- Cleveland Clinic Foundation, 9500 Euclid Ave. Cleveland, Ohio 44195, USA
| | - Ahmad M Alkashash
- Department of Pathology, Indiana University, 635 Barnhill Drive Medical Science Building A-128 Indianapolis, IN 46202, USA
| | - Inas A Ruhban
- Faculty of Medicine, Damascus University, Damascus, Damaskus, PO Box 30621, Syria
| | - Anas Alrefai
- Faculty of Medicine, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Nada M Elgazar
- Faculty of Medicine, Mansoura University, 1 El Gomhouria St, Dakahlia Governorate 35516, Egypt
| | - Ali Abdulkarim
- Faculty of Medicine, Cairo University, Kasr Al Ainy Hospitals, Kasr Al Ainy St., Cairo, Postal code: 11562, Egypt
| | - Abo-Alela Farag
- Faculty of Medicine, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Amira Etman
- Faculty of Medicine, Menoufia University, Gamal Abd El-Nasir, Qism Shebeen El-Kom, Shibin el Kom, Menofia Governorate, Postal code: 32511, Egypt
| | - Ahmed G Elsaeed
- Faculty of Medicine, Mansoura University, 1 El Gomhouria St, Dakahlia Governorate 35516, Egypt
| | - Yahya Alagha
- Faculty of Medicine, Cairo University, Kasr Al Ainy Hospitals, Kasr Al Ainy St., Cairo, Postal code: 11562, Egypt
| | - Yomna A Amer
- Faculty of Medicine, Menoufia University, Gamal Abd El-Nasir, Qism Shebeen El-Kom, Shibin el Kom, Menofia Governorate, Postal code: 32511, Egypt
| | - Ahmed M Raslan
- Department of Anaesthesia and Critical Care, Menoufia University Hospital, Gamal Abd El-Nasir, Qism Shebeen El-Kom, Shibin el Kom, Menofia Governorate, Postal code: 32511, Egypt
| | - Menatalla K Nadim
- Department of Clinical Pathology, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Mai A T Elsebaie
- Faculty of Medicine, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Ahmed Ayad
- Research Department, Oncology Consultants, 2130 W. Holcombe Blvd, 10th Floor, Houston, Texas 77030, USA
| | - Liza E Hanna
- Department of Pathology, Nasser institute for research and treatment, 3 Magles El Shaab Street, Cairo, Postal code 222, Egypt
| | - Ahmed Gadallah
- Faculty of Medicine, Ain Shams University, 38 Abbassia, Next to the Al-Nour Mosque, Cairo, Postal code: 1181, Egypt
| | - Mohamed Elkady
- Siparadigm Diagnostic Informatics, 25 Riverside Dr no. 2, Pine Brook, NJ 07058, USA
| | - Bradley Drumheller
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30322, USA
| | - David Jaye
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30322, USA
| | - David Manthey
- Kitware Inc., 1712 Route 9. Suite 300. Clifton Park, New York 12065, USA
| | - David A Gutman
- Department of Neurology, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30322, USA
| | - Habiba Elfandy
- Department of Pathology, National Cancer Institute, Kasr Al Eini Street, Fom El Khalig, Cairo, Postal code: 11562, Egypt.,Department of Pathology, Children's Cancer Hospital Egypt (CCHE 57357), 1 Seket Al-Emam Street, El-Madbah El-Kadeem Yard, El-Saida Zenab, Cairo, Postal code: 11562, Egypt
| | - Lee A D Cooper
- Department of Pathology, Northwestern University, 750 N Lake Shore Dr., Chicago, IL 60611, USA.,Lurie Cancer Center, Northwestern University, 675 N St Clair St Fl 21 Ste 100, Chicago, IL 60611, USA.,Center for Computational Imaging and Signal Analytics, Northwestern University Feinberg School of Medicine, 750 N Lake Shore Dr., Chicago, IL 60611, USA
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Al-Husseini MJ, Saad AM, Jazieh KA, Elmatboly AM, Rachid A, Gad MM, Ruhban IA, Hilal T. Outcome disparities in colorectal cancer: a SEER-based comparative analysis of racial subgroups. Int J Colorectal Dis 2019; 34:285-292. [PMID: 30443675 DOI: 10.1007/s00384-018-3195-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/07/2018] [Indexed: 02/04/2023]
Abstract
PURPOSE Previous studies of ethnic disparities in colorectal cancer (CRC) have focused mainly on patients of Caucasian and African-American descent. We aimed to evaluate outcomes for a range of races, representing a broader demographic of the US population. METHODS The Surveillance, Epidemiology, and End Results database was queried to identify patients with CRC diagnosed between 1994 and 2014. We performed unadjusted Kaplan-Meier test and multivariable covariate-adjusted Cox models to calculate the overall and CRC-specific survival of patients according to their race. RESULTS We identified 401,723 patients diagnosed with CRC between 1994 and 2014. Overall survival (OS) and CRC-specific survival were compared across different races stratified by age, sex, marital status, disease stage and grade, and undergoing surgery as a treatment. Overall, Asian/Pacific Islanders and Hispanics had improved CRC-specific survival compared to Whites (HR = 0.873, 95%CI 0.853-0.893, P < .001, and HR = 0.958, 95%CI 0.937-0.979, P < .001, respectively). Blacks had the worst CRC-specific survival outcomes when compared to Whites (HR = 1.215, 95%CI 1.192-1.238, P < .001). Racial disparity persisted when looking at two different time periods (1994-2003 and 2004-2014). CONCLUSIONS Asians/Pacific Islanders have improved outcomes from CRC compared to other races. Multifactorial, including genetic, environmental, and socioeconomic factors appear to influence outcomes and need to be addressed separately in order to reduce racial disparities among patients with CRC.
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Affiliation(s)
- Muneer J Al-Husseini
- Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Lofty Elsayed Street, Cairo, 11566, Egypt
| | - Anas M Saad
- Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Lofty Elsayed Street, Cairo, 11566, Egypt.
| | - Khalid A Jazieh
- Department of Internal Medicine, Cleveland Clinic, Cleveland, OH, USA
| | | | - Ahmad Rachid
- Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Lofty Elsayed Street, Cairo, 11566, Egypt
| | - Mohamed M Gad
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Inas A Ruhban
- Pathology Department, Faculty of Medicine, Damascus University, Cairo, Egypt
| | - Talal Hilal
- Division of Hematology/Oncology, Mayo Clinic Cancer Center, 5881 E. Mayo Blvd, Phoenix, AZ, 85054, USA.
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Saad AM, Gad MM, Al-Husseini MJ, AlKhayat MA, Rachid A, Alfaar AS, Hamoda HM. Suicidal death within a year of a cancer diagnosis: A population-based study. Cancer 2019; 125:972-979. [PMID: 30613943 DOI: 10.1002/cncr.31876] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 10/09/2018] [Accepted: 10/19/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND The suicide risk after a new cancer diagnosis remains a controversial issue. This study examines the suicide risk within the year after a cancer diagnosis. This is the largest study to assess recent trends in suicide risk after a cancer diagnosis. METHODS Data were obtained from the Surveillance, Epidemiology, and End Results Program. All patients diagnosed with cancer between 2000 and 2014 were selected. The event was defined as death due to suicide within the first year after a cancer diagnosis, and patients who experienced the event after their diagnosis were observed. The observed/expected (O/E) ratio was assessed as well as the excess risk per 10,000 person-years to determine the suicide risk change after the diagnosis in comparison with the general population. RESULTS A total of 4,671,989 patients with cancer were included; 1585 committed suicide within 1 year of their diagnosis. The risk of suicide increased significantly with an O/E ratio of 2.52 and with an excess risk of 2.51 per 10,000 person-years. When the risk of suicide was studied according to the cancer site, the highest increases in the O/E ratio came after diagnoses of pancreatic cancer (8.01) and lung cancer (6.05). The risk of suicide also increased significantly after a diagnosis of colorectal cancer with an O/E ratio of 2.08. However, the risk of suicidal death did not increase significantly after breast and prostate cancer diagnoses. CONCLUSIONS The risk of suicide increases significantly in the first year after a diagnosis of cancer in comparison with the general population, and this increase varies with the type and prognosis of cancer. Close observation and referral to mental health services, when indicated, are important for mitigating such risk.
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Affiliation(s)
- Anas M Saad
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | | | | | | | - Ahmad Rachid
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmad Samir Alfaar
- Ophthalmology Department, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Hesham M Hamoda
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
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