SlideShare une entreprise Scribd logo
1  sur  20
CANCER E-STAGING
STANDALONE PROGRAM
Dr Sanjoy Sanyal
MBBS, MS, MSc (RCSEd), ADPHA
Professor and Course Director
sanjoy.sanyal@bath.edu
Patent Pending
Abstract
• Given the extreme complexity of grouping T, N, M
status of a tumor into its Stages, it is impossible to
determine the Anatomical Stage of any cancer without
the aid of complex TNM charts created by UICC.
• In order to render the process time- and user-friendly
for the physician, an MS™ Excel-based e-Staging
program was created for 26 cancers of human body.
• With just 4 mouse clicks one can arrive at the Stage of
the cancer.
• This is a standalone tool, not requiring Internet
connection, and can be used in a handheld device in
any hospital or clinic.
Background
• In the Union for International Cancer Control
(UICC) TNM classification, Tumor status (T) is
designated as T1, T2 etc, lymph Node
metastases (N) are designated as N0, N1 etc,
and distant Metastases (M) are designated as
M0, M1.
• For some cancers, like Seminoma of testis,
Serum tumor marker (S) is an additional
parameter.
Background
• Each parameter may be further subdivided
into 'a', 'b' etc.
• The three (or four) major parameters are
grouped in increasing stages of cancer to give
the Anatomical Stage of the cancer,
designated by Roman numeral I, II etc.
• For many cancer, Stages may be subdivided
into 'A', 'B'.
Process Flowchart for Creation of Cancer
e-Staging Standalone Program
A multi-step process was used to create the e-Staging Program.
Process Flowchart for Implementation of
Cancer e-Staging Standalone Program
Cancer e-Staging Standalone Program
• It has 6 electronic pages, requiring 5 mouse clicks
• Content page of the e-Staging tool gives a list of 26
cancers. It comes once we click on the Agree Tab
• Once on any Tumor page, the physician is asked to
successively select the appropriate T, N, M status of
that cancer.
• It takes the physician seamlessly through the 3
steps.
• Final page gives cancer Stage.
Terms of Use Agreement
Content Page of e-Staging Program
Second Mouse Click: Click on the cancer of choice,
for which Staging is required
Tumor (T) Page of e-Staging Program
Third Mouse Click: Click on the Tumor status (T) of
the cancer for which Staging is required
Node (N) Page of e-Staging Program
Fourth Mouse Click: Click on the Lymph Node status
(N) of the cancer for which Staging is required
Metastases (M) Page of e-Staging Program
Fifth Mouse Click: Click on the Metastasis status (M)
of the cancer for which Staging is required
Staging Page of e-Staging Program
Final Page: Gives the Anatomical Stage of the cancer
for which Staging is required
Uniqueness of e-Staging Program
• This interactive e-Staging tool is standalone,
simpler (requiring only 5 mouse clicks),
quicker (just a few seconds) and easier than
those from others that are all Web-based.
• It can be used by any physician with minimum
computer skills.
• It is portable, can be used in any hand-held
device anywhere in the hospital or clinic, and
does not require Internet connection.
Uniqueness of e-Staging Program
• It eliminates consulting complicated TNM
charts, which are different for every tumor,
and also the need to rely on memory, thus
reducing errors and inconsistency between
physicians.
• The tool can be incorporated in a hospital
EMR with HL7.
• It is future-scalable, with options to add
more cancer sites to the system.
Authorship and Conference Presentation
• This paper and program was authored by Dr Sanjoy
Sanyal, Professor and Course Director of
Neuroscience in Medical University of the Americas,
Nevis, St Kitts-Nevis, West Indies.
• It was accepted at the international Stanford
Medicine X Conference, and presented as a poster
in Stanford University School of Medicine, LKSC
Conference Center, 291 Campus Drive, Stanford, CA
94305-5101, USA, on 30 September, 2012.
• Assistance of Medical University of the Americas in
preparing the poster is gratefully acknowledged.
Stanford Medicine X Conference 2012
Stanford Medicine X Conference 2012
Stanford Medicine X Conference 2012
PATENT
STATUS
Provisional Patent Application accepted by United
States Patent and Trademark Office (USPTO) in
January 2014, giving it a 'Patent Pending' status.

Contenu connexe

Tendances

A new procedure for noninvasive detection of breast cancer lymph node metasta...
A new procedure for noninvasive detection of breast cancer lymph node metasta...A new procedure for noninvasive detection of breast cancer lymph node metasta...
A new procedure for noninvasive detection of breast cancer lymph node metasta...
Senology.org
 
Segmentation of thermograms breast cancer tarek-to-slid share
Segmentation of thermograms breast cancer tarek-to-slid shareSegmentation of thermograms breast cancer tarek-to-slid share
Segmentation of thermograms breast cancer tarek-to-slid share
Tarek Gaber
 
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
Levi Shapiro
 
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
カリス 東大AI博士
 

Tendances (20)

Breast cancer detection using Artificial Neural Network
Breast cancer detection using Artificial Neural NetworkBreast cancer detection using Artificial Neural Network
Breast cancer detection using Artificial Neural Network
 
Data Mining Techniques In Computer Aided Cancer Diagnosis
Data Mining Techniques In Computer Aided Cancer DiagnosisData Mining Techniques In Computer Aided Cancer Diagnosis
Data Mining Techniques In Computer Aided Cancer Diagnosis
 
MICROCALCIFICATION IDENTIFICATION IN DIGITAL MAMMOGRAM FOR EARLY DETECTION OF...
MICROCALCIFICATION IDENTIFICATION IN DIGITAL MAMMOGRAM FOR EARLY DETECTION OF...MICROCALCIFICATION IDENTIFICATION IN DIGITAL MAMMOGRAM FOR EARLY DETECTION OF...
MICROCALCIFICATION IDENTIFICATION IN DIGITAL MAMMOGRAM FOR EARLY DETECTION OF...
 
High Dimensional Fused-Informatics
High Dimensional Fused-InformaticsHigh Dimensional Fused-Informatics
High Dimensional Fused-Informatics
 
IRJET- Skin Cancer Detection using Digital Image Processing
IRJET- Skin Cancer Detection using Digital Image ProcessingIRJET- Skin Cancer Detection using Digital Image Processing
IRJET- Skin Cancer Detection using Digital Image Processing
 
Mammogram Screening
Mammogram ScreeningMammogram Screening
Mammogram Screening
 
A new procedure for noninvasive detection of breast cancer lymph node metasta...
A new procedure for noninvasive detection of breast cancer lymph node metasta...A new procedure for noninvasive detection of breast cancer lymph node metasta...
A new procedure for noninvasive detection of breast cancer lymph node metasta...
 
L.T.D second seminar
L.T.D second seminarL.T.D second seminar
L.T.D second seminar
 
Segmentation of thermograms breast cancer tarek-to-slid share
Segmentation of thermograms breast cancer tarek-to-slid shareSegmentation of thermograms breast cancer tarek-to-slid share
Segmentation of thermograms breast cancer tarek-to-slid share
 
Mymmo
MymmoMymmo
Mymmo
 
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
Professor Harrison Bai, Artificial Intelligence Applications in Radiology_mHe...
 
Mammography : quality control (quality assurance)
Mammography : quality control (quality assurance)Mammography : quality control (quality assurance)
Mammography : quality control (quality assurance)
 
Women in STEM
Women in STEM Women in STEM
Women in STEM
 
Thermal Imaging: Opportunities and Challenges for Breast Cancer Detection
Thermal Imaging: Opportunities and Challenges for Breast Cancer DetectionThermal Imaging: Opportunities and Challenges for Breast Cancer Detection
Thermal Imaging: Opportunities and Challenges for Breast Cancer Detection
 
The innovation of breast scanning
The innovation of breast scanningThe innovation of breast scanning
The innovation of breast scanning
 
Mammography and the FDA
Mammography and the FDAMammography and the FDA
Mammography and the FDA
 
IRJET- Comparison of Breast Cancer Detection using Probabilistic Neural Netwo...
IRJET- Comparison of Breast Cancer Detection using Probabilistic Neural Netwo...IRJET- Comparison of Breast Cancer Detection using Probabilistic Neural Netwo...
IRJET- Comparison of Breast Cancer Detection using Probabilistic Neural Netwo...
 
IRJET - A Conceptual Method for Breast Tumor Classification using SHAP Values ...
IRJET - A Conceptual Method for Breast Tumor Classification using SHAP Values ...IRJET - A Conceptual Method for Breast Tumor Classification using SHAP Values ...
IRJET - A Conceptual Method for Breast Tumor Classification using SHAP Values ...
 
Computer aided diagnosis of mammographic masses using scalable image retrieval
Computer aided diagnosis of mammographic masses using scalable image retrievalComputer aided diagnosis of mammographic masses using scalable image retrieval
Computer aided diagnosis of mammographic masses using scalable image retrieval
 
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
Ph.D. Defense Presentation Slides (Changhee Han) カリスの東大博論審査会(公聴会)発表スライド Patho...
 

En vedette (9)

Trophees Divalto2009
Trophees Divalto2009Trophees Divalto2009
Trophees Divalto2009
 
Deporte nacional e internacional
Deporte nacional e internacionalDeporte nacional e internacional
Deporte nacional e internacional
 
The elmcity project
The elmcity projectThe elmcity project
The elmcity project
 
Indian patent office list of granted pharmaceutical patent applications grant...
Indian patent office list of granted pharmaceutical patent applications grant...Indian patent office list of granted pharmaceutical patent applications grant...
Indian patent office list of granted pharmaceutical patent applications grant...
 
Aliyaslideshare
AliyaslideshareAliyaslideshare
Aliyaslideshare
 
Katherine
KatherineKatherine
Katherine
 
National Curriculum HIstory (proposed)
National Curriculum HIstory (proposed) National Curriculum HIstory (proposed)
National Curriculum HIstory (proposed)
 
Investigational new drug application
Investigational new drug applicationInvestigational new drug application
Investigational new drug application
 
Sig la-lettre-osm- 4 mai 2010
Sig la-lettre-osm- 4 mai 2010Sig la-lettre-osm- 4 mai 2010
Sig la-lettre-osm- 4 mai 2010
 

Similaire à Cancer e-Staging Standalone Program Updated 2014 - Sanjoy Sanyal

Similaire à Cancer e-Staging Standalone Program Updated 2014 - Sanjoy Sanyal (20)

New AJCC/UICC Staging System for Head & Neck, and Thyroid Cancer
New AJCC/UICC Staging System for Head & Neck, and Thyroid CancerNew AJCC/UICC Staging System for Head & Neck, and Thyroid Cancer
New AJCC/UICC Staging System for Head & Neck, and Thyroid Cancer
 
A Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence
A Review on Data Mining Techniques for Prediction of Breast Cancer RecurrenceA Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence
A Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence
 
Performance and Evaluation of Data Mining Techniques in Cancer Diagnosis
Performance and Evaluation of Data Mining Techniques in Cancer DiagnosisPerformance and Evaluation of Data Mining Techniques in Cancer Diagnosis
Performance and Evaluation of Data Mining Techniques in Cancer Diagnosis
 
Performance Evaluation using Supervised Learning Algorithms for Breast Cancer...
Performance Evaluation using Supervised Learning Algorithms for Breast Cancer...Performance Evaluation using Supervised Learning Algorithms for Breast Cancer...
Performance Evaluation using Supervised Learning Algorithms for Breast Cancer...
 
IRJET- Breast Cancer Disease Prediction : Using Machine Learning Approach
IRJET- Breast Cancer Disease Prediction : Using Machine Learning ApproachIRJET- Breast Cancer Disease Prediction : Using Machine Learning Approach
IRJET- Breast Cancer Disease Prediction : Using Machine Learning Approach
 
Logistic Regression Model for Predicting the Malignancy of Breast Cancer
Logistic Regression Model for Predicting the Malignancy of Breast CancerLogistic Regression Model for Predicting the Malignancy of Breast Cancer
Logistic Regression Model for Predicting the Malignancy of Breast Cancer
 
Clinical Genomics and Medicine
Clinical Genomics and MedicineClinical Genomics and Medicine
Clinical Genomics and Medicine
 
IRJET - Classifying Breast Cancer Tumour Type using Convolution Neural Netwo...
IRJET  - Classifying Breast Cancer Tumour Type using Convolution Neural Netwo...IRJET  - Classifying Breast Cancer Tumour Type using Convolution Neural Netwo...
IRJET - Classifying Breast Cancer Tumour Type using Convolution Neural Netwo...
 
IRJET- Oral Cancer Detection using Machine Learning
IRJET- Oral Cancer Detection using Machine LearningIRJET- Oral Cancer Detection using Machine Learning
IRJET- Oral Cancer Detection using Machine Learning
 
Cancer Care using Quahog Health Decision System
Cancer Care using Quahog Health Decision SystemCancer Care using Quahog Health Decision System
Cancer Care using Quahog Health Decision System
 
Breast Cancer Prediction using Machine Learning
Breast Cancer Prediction using Machine LearningBreast Cancer Prediction using Machine Learning
Breast Cancer Prediction using Machine Learning
 
Image processing and machine learning techniques used in computer-aided dete...
Image processing and machine learning techniques  used in computer-aided dete...Image processing and machine learning techniques  used in computer-aided dete...
Image processing and machine learning techniques used in computer-aided dete...
 
IRJET - Classification of Cancer Images using Deep Learning
IRJET -  	  Classification of Cancer Images using Deep LearningIRJET -  	  Classification of Cancer Images using Deep Learning
IRJET - Classification of Cancer Images using Deep Learning
 
Breast Cancer Prediction
Breast Cancer PredictionBreast Cancer Prediction
Breast Cancer Prediction
 
Deep Learning Techniques for Breast Cancer Risk Prediction.pptx
Deep Learning Techniques for Breast Cancer Risk Prediction.pptxDeep Learning Techniques for Breast Cancer Risk Prediction.pptx
Deep Learning Techniques for Breast Cancer Risk Prediction.pptx
 
Sigma Xi Student Showcase - Fast Pre-Diagnosis of Breast Cancer Using CNNs
Sigma Xi Student Showcase - Fast Pre-Diagnosis of Breast Cancer Using CNNsSigma Xi Student Showcase - Fast Pre-Diagnosis of Breast Cancer Using CNNs
Sigma Xi Student Showcase - Fast Pre-Diagnosis of Breast Cancer Using CNNs
 
Application Brief - Breast Cancer Research
Application Brief - Breast Cancer ResearchApplication Brief - Breast Cancer Research
Application Brief - Breast Cancer Research
 
Breast Cancer Detection through Deep Learning: A Review
Breast Cancer Detection through Deep Learning: A ReviewBreast Cancer Detection through Deep Learning: A Review
Breast Cancer Detection through Deep Learning: A Review
 
IRJET- Breast Cancer Prediction using Support Vector Machine
IRJET-  	  Breast Cancer Prediction using Support Vector MachineIRJET-  	  Breast Cancer Prediction using Support Vector Machine
IRJET- Breast Cancer Prediction using Support Vector Machine
 
D15 REVIEW1.pptx
D15 REVIEW1.pptxD15 REVIEW1.pptx
D15 REVIEW1.pptx
 

Plus de Sanjoy Sanyal

Lunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
Lunar Views – Potential Landing Sites - Compiled by Sanjoy SanyalLunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
Lunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
Sanjoy Sanyal
 
MARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
MARS Images ISRO-NASA-Compiled by Sanjoy SanyalMARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
MARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
Sanjoy Sanyal
 
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptxAditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
Sanjoy Sanyal
 
4-5-6_Rwanda-KSA-Libya Service Certificates
4-5-6_Rwanda-KSA-Libya Service Certificates4-5-6_Rwanda-KSA-Libya Service Certificates
4-5-6_Rwanda-KSA-Libya Service Certificates
Sanjoy Sanyal
 

Plus de Sanjoy Sanyal (20)

Lunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
Lunar Views – Potential Landing Sites - Compiled by Sanjoy SanyalLunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
Lunar Views – Potential Landing Sites - Compiled by Sanjoy Sanyal
 
MARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
MARS Images ISRO-NASA-Compiled by Sanjoy SanyalMARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
MARS Images ISRO-NASA-Compiled by Sanjoy Sanyal
 
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptxAditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
Aditya-L1 Suit Images ISRO - Compiled by Sanjoy Sanyal.pptx
 
Charting Neural Pathways in Schizophrenia and BPD-Chicago Conference 2016 - S...
Charting Neural Pathways in Schizophrenia and BPD-Chicago Conference 2016 - S...Charting Neural Pathways in Schizophrenia and BPD-Chicago Conference 2016 - S...
Charting Neural Pathways in Schizophrenia and BPD-Chicago Conference 2016 - S...
 
Aorta–IVC–Kidney Dissection and Surgical Correlations - Dr Sanjoy Sanyal
Aorta–IVC–Kidney Dissection and Surgical Correlations - Dr Sanjoy SanyalAorta–IVC–Kidney Dissection and Surgical Correlations - Dr Sanjoy Sanyal
Aorta–IVC–Kidney Dissection and Surgical Correlations - Dr Sanjoy Sanyal
 
Anterior Thoracic Wall Surgical Anatomy - Sanjoy Sanyal
Anterior Thoracic Wall Surgical Anatomy - Sanjoy SanyalAnterior Thoracic Wall Surgical Anatomy - Sanjoy Sanyal
Anterior Thoracic Wall Surgical Anatomy - Sanjoy Sanyal
 
Functional Surgical Aspects -Triceps Surae-Tendo Calcaneus - Sanjoy Sanyal
Functional Surgical Aspects -Triceps Surae-Tendo Calcaneus - Sanjoy SanyalFunctional Surgical Aspects -Triceps Surae-Tendo Calcaneus - Sanjoy Sanyal
Functional Surgical Aspects -Triceps Surae-Tendo Calcaneus - Sanjoy Sanyal
 
Surgical Aspects of Popliteal Fossa - Dr. Sanjoy Sanyal
Surgical Aspects of Popliteal Fossa - Dr. Sanjoy SanyalSurgical Aspects of Popliteal Fossa - Dr. Sanjoy Sanyal
Surgical Aspects of Popliteal Fossa - Dr. Sanjoy Sanyal
 
Surgical Anatomy of Cadaveric Abdominal Viscera - Dr Sanjoy Sanyal
Surgical Anatomy of Cadaveric Abdominal Viscera - Dr Sanjoy SanyalSurgical Anatomy of Cadaveric Abdominal Viscera - Dr Sanjoy Sanyal
Surgical Anatomy of Cadaveric Abdominal Viscera - Dr Sanjoy Sanyal
 
4-5-6_Rwanda-KSA-Libya Service Certificates
4-5-6_Rwanda-KSA-Libya Service Certificates4-5-6_Rwanda-KSA-Libya Service Certificates
4-5-6_Rwanda-KSA-Libya Service Certificates
 
Rotation Model Blended Learning Project-ARS Feedback IEC Orlando Jan2016 - Sa...
Rotation Model Blended Learning Project-ARS Feedback IEC Orlando Jan2016 - Sa...Rotation Model Blended Learning Project-ARS Feedback IEC Orlando Jan2016 - Sa...
Rotation Model Blended Learning Project-ARS Feedback IEC Orlando Jan2016 - Sa...
 
Abnormal Right Vertebral Artery MRA Sequence - Sanjoy Sanyal
Abnormal Right Vertebral Artery MRA Sequence - Sanjoy SanyalAbnormal Right Vertebral Artery MRA Sequence - Sanjoy Sanyal
Abnormal Right Vertebral Artery MRA Sequence - Sanjoy Sanyal
 
ISL_Cert0021
ISL_Cert0021ISL_Cert0021
ISL_Cert0021
 
Ionizing Radiation in Surgery - Sanjoy Sanyal
Ionizing Radiation in Surgery - Sanjoy SanyalIonizing Radiation in Surgery - Sanjoy Sanyal
Ionizing Radiation in Surgery - Sanjoy Sanyal
 
Lasers in Surgery Systemic Applications Part-III - Sanjoy Sanyal
Lasers in Surgery Systemic Applications Part-III - Sanjoy SanyalLasers in Surgery Systemic Applications Part-III - Sanjoy Sanyal
Lasers in Surgery Systemic Applications Part-III - Sanjoy Sanyal
 
Illustrated Surgical GI Endoscopy - Sanjoy Sanyal
Illustrated Surgical GI Endoscopy - Sanjoy SanyalIllustrated Surgical GI Endoscopy - Sanjoy Sanyal
Illustrated Surgical GI Endoscopy - Sanjoy Sanyal
 
Lasers in Surgery Specific Applications Part-II - Sanjoy Sanyal
Lasers in Surgery Specific Applications Part-II - Sanjoy SanyalLasers in Surgery Specific Applications Part-II - Sanjoy Sanyal
Lasers in Surgery Specific Applications Part-II - Sanjoy Sanyal
 
Laparoscopic Surgery Scenario Part-I - Sanjoy Sanyal
Laparoscopic Surgery Scenario Part-I - Sanjoy SanyalLaparoscopic Surgery Scenario Part-I - Sanjoy Sanyal
Laparoscopic Surgery Scenario Part-I - Sanjoy Sanyal
 
Automatic Physiological Assessment in Surgery Computer Program - Sanjoy Sanyal
Automatic Physiological Assessment in Surgery Computer Program - Sanjoy SanyalAutomatic Physiological Assessment in Surgery Computer Program - Sanjoy Sanyal
Automatic Physiological Assessment in Surgery Computer Program - Sanjoy Sanyal
 
Surgical Aspects of Colorectal Endoscopy Part-IV - Sanjoy Sanyal
Surgical Aspects of Colorectal Endoscopy Part-IV - Sanjoy SanyalSurgical Aspects of Colorectal Endoscopy Part-IV - Sanjoy Sanyal
Surgical Aspects of Colorectal Endoscopy Part-IV - Sanjoy Sanyal
 

Dernier

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 

Cancer e-Staging Standalone Program Updated 2014 - Sanjoy Sanyal

  • 1. CANCER E-STAGING STANDALONE PROGRAM Dr Sanjoy Sanyal MBBS, MS, MSc (RCSEd), ADPHA Professor and Course Director sanjoy.sanyal@bath.edu Patent Pending
  • 2. Abstract • Given the extreme complexity of grouping T, N, M status of a tumor into its Stages, it is impossible to determine the Anatomical Stage of any cancer without the aid of complex TNM charts created by UICC. • In order to render the process time- and user-friendly for the physician, an MS™ Excel-based e-Staging program was created for 26 cancers of human body. • With just 4 mouse clicks one can arrive at the Stage of the cancer. • This is a standalone tool, not requiring Internet connection, and can be used in a handheld device in any hospital or clinic.
  • 3. Background • In the Union for International Cancer Control (UICC) TNM classification, Tumor status (T) is designated as T1, T2 etc, lymph Node metastases (N) are designated as N0, N1 etc, and distant Metastases (M) are designated as M0, M1. • For some cancers, like Seminoma of testis, Serum tumor marker (S) is an additional parameter.
  • 4. Background • Each parameter may be further subdivided into 'a', 'b' etc. • The three (or four) major parameters are grouped in increasing stages of cancer to give the Anatomical Stage of the cancer, designated by Roman numeral I, II etc. • For many cancer, Stages may be subdivided into 'A', 'B'.
  • 5. Process Flowchart for Creation of Cancer e-Staging Standalone Program A multi-step process was used to create the e-Staging Program.
  • 6. Process Flowchart for Implementation of Cancer e-Staging Standalone Program
  • 7. Cancer e-Staging Standalone Program • It has 6 electronic pages, requiring 5 mouse clicks • Content page of the e-Staging tool gives a list of 26 cancers. It comes once we click on the Agree Tab • Once on any Tumor page, the physician is asked to successively select the appropriate T, N, M status of that cancer. • It takes the physician seamlessly through the 3 steps. • Final page gives cancer Stage.
  • 8. Terms of Use Agreement
  • 9. Content Page of e-Staging Program Second Mouse Click: Click on the cancer of choice, for which Staging is required
  • 10. Tumor (T) Page of e-Staging Program Third Mouse Click: Click on the Tumor status (T) of the cancer for which Staging is required
  • 11. Node (N) Page of e-Staging Program Fourth Mouse Click: Click on the Lymph Node status (N) of the cancer for which Staging is required
  • 12. Metastases (M) Page of e-Staging Program Fifth Mouse Click: Click on the Metastasis status (M) of the cancer for which Staging is required
  • 13. Staging Page of e-Staging Program Final Page: Gives the Anatomical Stage of the cancer for which Staging is required
  • 14. Uniqueness of e-Staging Program • This interactive e-Staging tool is standalone, simpler (requiring only 5 mouse clicks), quicker (just a few seconds) and easier than those from others that are all Web-based. • It can be used by any physician with minimum computer skills. • It is portable, can be used in any hand-held device anywhere in the hospital or clinic, and does not require Internet connection.
  • 15. Uniqueness of e-Staging Program • It eliminates consulting complicated TNM charts, which are different for every tumor, and also the need to rely on memory, thus reducing errors and inconsistency between physicians. • The tool can be incorporated in a hospital EMR with HL7. • It is future-scalable, with options to add more cancer sites to the system.
  • 16. Authorship and Conference Presentation • This paper and program was authored by Dr Sanjoy Sanyal, Professor and Course Director of Neuroscience in Medical University of the Americas, Nevis, St Kitts-Nevis, West Indies. • It was accepted at the international Stanford Medicine X Conference, and presented as a poster in Stanford University School of Medicine, LKSC Conference Center, 291 Campus Drive, Stanford, CA 94305-5101, USA, on 30 September, 2012. • Assistance of Medical University of the Americas in preparing the poster is gratefully acknowledged.
  • 17. Stanford Medicine X Conference 2012
  • 18. Stanford Medicine X Conference 2012
  • 19. Stanford Medicine X Conference 2012
  • 20. PATENT STATUS Provisional Patent Application accepted by United States Patent and Trademark Office (USPTO) in January 2014, giving it a 'Patent Pending' status.