Wheaton Franciscan Cancer Cancer Study Under American Medical Association Detects Cancer Smaller tha

Wheaton Franciscan Cancer Cancer Study Under American Medical Association Detects Cancer Smaller tha

"Early Cancer Detection Locates CARCINOGEN Smaller Than 1mm In SIZE
Through Radiology & Medical Imaging Analysis Software By Reading CT,
MRI & PET Scan by Analyzing Dicomm Files. "FIRST SOFTWARE EVER!"
AMERICAN MEDICAL ASSOCIATION STUDY #07-010 "

Medical Imaging Analysis and Diagnosis of MRI, CT, and PET Scans David
Kanecki, MBA, A.C.S., Bio. Sci. Kanecki, Associates, Inc. P.O. Box 866
Kenosha, WI 53141 Description of the Invention The MIAS, medical image
analysis system, is able to analyze and diagnosis MRI, CT, and PET
scan images to determine the positive areas for cancer and to
distinguish between the false positive areas. It has a 95% accuracy
rate on single image comparisons, and a 85% accuracy rate on "3 Plane
Loc" series. The false positive rate for each is 5% and 10%
respectively.
********************************************************* What is
Claimed 1. Ability to determine positive cancerous areas in MRI, CT,
and PET scans on a individual slide. 2. Ability to determine positive
cancerous areas in MRI, CT, and PET scans on a series as a "3 Plane
Loc" series. 3. 95% accuracy rate with a 5% false positive rate for
single slide evaluations. 4. 85% accuracy rate with a 10% false
positive rate for "3 Plane Loc" evaluations. Discussion
*********************************************************** FIRST
RESULTS OF MEDICAL STUDY USING MIAS 60 LABORATORY David Kanecki, MBA,
A.C.S., Bio. Sci. Kanecki Associates, Inc., * P.O. Box 866 * Kenosha,
WI 53141 * UNITED STATES david@kanecki,com ABSTRACT Based upon initial
testing, the MIAS 60 program could be used as a screening program for
cancer, and as an assistant for cancer determination. As a screening
program, the program has a 95.6% accuracy rate, and as a cancer
determination program, it has a 82.4% accuracy rate. In addition,
there are no false negatives given as a result. This means that a
patient will not be misdiagnosed because of false negative. The screen
accuracy range is approximately 92-100%, and the cancer detection
range is 65-100 percent. In screening, the program surpasses a human
reader, and in cancer detection via a "3 Plane Loc" analysis, it is
approximately equal to a human reader.
********************************************************** This study
is being performed at Wheaton Franciscan Hospital of Racine, WI.
INTRODUCTION The purpose of this study is to determine the accuracy
rate of the MIAS 60 program to detect cancer in patients using a "3
Plane loc" analysis. The study consists of analyzing 300 patient
samples, and this report gives results for the first set of 25 patient
samples. The MIAS 60 Laboratory program provides an analysis using
multiple measurements and generating a single conclusion for an
individual slide and the whole series as positive or negative. The
conclusion from the whole series is what is important in determining
if someone has cancer. The first part of the testing involved
calibrating the MIAS 60 Laboratory program along with establishing
patient control sets to use a reference. These control sets were
selected by the variation of the "3 Plane Loc" process and on
comparative anatomy of the scans to provide a close, accurate starting
point. Once the control sets were setup, the first experiments were
done. **********************************************************
MATERIALS AND METHODS The first part of performing the medical
analysis was to select a set of patients as the reference set for the
study. The selected set is references by a notation of gender (f/m),
nc (negative control) or pc (positive control), and nc or pc number,
i.e. 1. Thus, 'fnc1' would indicate that the a female, negative,
control one was used for the analysis. The exam use specifies which
reference set to use, based upon the variation of the "3 place loc"
examination performed. When there is a difference between the
predicted result of cancer and the expected result of cancer, a second
review is conducted. The second review consists of comparing the
patient report for the test, and determining if the symptoms are
positive or negative, relative to the two patient samples. A positive
designation is given when a patient or patients have symptoms found in
two different anatomical areas of the brain. This method is used
because all of the patient samples we are based upon the patient
having symptoms as left sided weakness, dizziness, blurred vision,
etc. Thus, the second review is used to compare conflicting results
between the predicted determination by MIAS. Based upon the notation
used, the following table shows which patient data we used as control
sets: Patient ID Gender Exam Use Cancer Present Notation Name Number
of MRI scans P010 F 1 P Fpc1 21 P001 F 1 N Fnc1 15 P004 M 1 N Mnc1 15
P005 F 3 N Fnc3 21 (2 visits) P006 F 1 N Fnc2 42 P007 F 4 N Fnc4 33
P022 M 5 N Mnc2 15 From this sample set, a series of 25 experiments
are performed. The goals of the experiments are 1) to determine the
accuracy rate of predicting cancer in a MRI test series and 2) to
determine the accuracy of recognizing significant, symptom areas that
are not cancerous.

The summary of the results are: By Cancer By Symptom Total 23, 100%
23, 100% Correct 19, 82.6% 22, 95.6% False Positive 4, 17.4% 1, 4.3%
False Negative 0, 0.0% 0. 0% With the cancer analysis, the program is
approximately equal to a human reader, p=0.15 error rate, and the
program error rate is p=0.164.
********************************************************** In
addition, the program has a false positive rate 17.4% percent which
means the reading accuracy can range from 69- 100% accuracy, exceeding
a human reader at the upper levels. By having the program issue a
false positive and not issue a false negative, this means the
program's error will not result in a missed diagnosis. With the
symptoms, the program is better than a human reader with an accuracy
rate of 95.6% and an error rate of 4.4%, p=0.044, which is better than
p=0.15, our null hypothesis for a human reader. In addition the
program has a 4.4% false positive rate which means that it range of
accuracy is 91.2% to 100%, which is better than the null hypothesis of
a human reader. Therefore, this shows the MIAS can be used for
screening along with a secondary review.
********************************************************** CONCLUSION
The results of this study show that the MIAS surpass a human reader
for screening, and is approximately equal to a human reader for cancer
determination. Since the program does not issue a false positive, the
benefit is toward better treatment because a lack of a false negative
diagnosis means that a patient is not misdiagnosed where a cancer
exists. Based upon these results, the MIAS program could be used as a
screening program for cancer, and as an assistant for diagnosing
cancer. The patient samples used in this study were supplied by
Wheaton Franciscan Hospital of Racine, WI. The medical study is being
conducted at the same hospital.

MIAS, Medical Image Analysis System, uses a two dimensional approach
to spot cancer. The reason this approach is more accurate and
efficient than the three-dimensional approach used today is due to the
computers software ability for spotting the cancers location by pixel
rating as opposed to someone having to determine an area from a visual
contrast. After the individual determines which areas that the
fluorescent dyes highlight an assumption is made which runs a risk of
human error. The ability to spot the cancer by computer software pixel
ratings increases location accuracy and reduced errors in reading
radiological CT, MRI, and PET scans. Combined the two test run
consistently could solve the problems that exist in radiological
diagnosis! ********************************************************
******************************************************** The Medical
Imaging Analysis Software uses a special patented Dicomm File
Converter to extract the bipmap files used by all Medical Scanners.
Then, a pixel is assigned a value of 0 (black) - 24 MILLION (bright
white). A cancer usually is observed on a scan with a value of 150 or
over Based upon the statistical value and pixel value a cancer can be
detected to an exact location on our grid of 5000 by 5000 pixels The
MIAS provides an image of the cancer shape, location, intensity, and
many other features to detect cancer smaller than 1mm in size!
********************************************************
******************************************************** Imaging
Enhancements have the ability for earlier cancer detection less than
1mm sq from modifying the pixel rating from 0-255 to 0-24 million
range. This has been done when the program applies ability while
reading jpeg files or bitmap files with 24-bit color. Currently, the
program works on the 2006 Dicomm standard of a bitmap file of 8-bit
grayscale and 24-bit gray scale files that is run on all machines. CAT
SCAN, MRI, and PET SCANS.
*********************************************************
********************************************************* Kanecki And
Associates Inc. is interested in co-venturing with other medical
scanning companies. Image 4D Systems Upgraded Features! Expected
Release: Third Quarter of 2008, August 25th, 2008
*********************************************************
********************************************************* The MIAS 3D
and 4D viewer,allows you to view MRI images in three dimensions and in
four dimensions by sections. The advantage of this viewer is that you
can rotate the 3d and 4d perspectives highlighting the cancer areas.
*********************************************************
********************************************************* This imager
will work with MRI, Dicomm based scans of any size. It is designed to
work on windows xp and vista first with it being ported to Linux and
to Java enabled smart phones.
*********************************************************
******************************************************** The MIAS
SMART PHONE/POCKET PC PROJECT FOR JAVA APPLICATIONS Estimated
Completion Date: Fourth Quarter 2008 As part of the medical image
analysis program, MIAS, this project will use MIAS analysis and
results to be performed on a smart phone or pocket pc. This advantage
enables the treatment strategy sooner with immediate analysis wherever
needed. The smart phone/pocket pc MIAS, Smart MIAS, application will
allow the portable aspect of oncologist analysis using secured smart
devices. This allows a faster response time since the oncologist can
respond directly, and reduced travel time. This project will use MIAS,
the Smart MIAS application on the iPhone, iPaq, Nokia, and other smart
phone/computer devices. This will allow for the use of mobile and
rapid response decision making. Look for the Smart MIAS on December
1st, the fourth quarter of 2008.

Kanecki And Associates Inc. is interested in co-venturing with other
medical scanning companies. Image 4D Systems Upgraded Features!
Expected Release: Third Quarter of 2008, August 25th, 2008
*********************************************************
********************************************************* The MIAS 3D
and 4D viewer,allows you to view MRI images in three dimensions and in
four dimensions by sections. The advantage of this viewer is that you
can rotate the 3d and 4d perspectives highlighting the cancer areas.
*********************************************************
********************************************************* This imager
will work with MRI, Dicomm based scans of any size. It is designed to
work on windows xp and vista first with it being ported to Linux and
to Java enabled smart phones.
*********************************************************
******************************************************** The MIAS
SMART PHONE/POCKET PC PROJECT FOR JAVA APPLICATIONS Estimated
Completion Date: Fourth Quarter 2008 As part of the medical image
analysis program, MIAS, this project will use MIAS analysis and
results to be performed on a smart phone or pocket pc. This advantage
enables the treatment strategy sooner with immediate analysis wherever
needed. The smart phone/pocket pc MIAS, Smart MIAS, application will
allow the portable aspect of oncologist analysis using secured smart
devices. This allows a faster response time since the oncologist can
respond directly, and reduced travel time. This project will use MIAS,
the Smart MIAS application on the iPhone, iPaq, Nokia, and other smart
phone/computer devices. This will allow for the use of mobile and
rapid response decision making. Look for the Smart MIAS on December
1st, the fourth quarter of 2009.
***********************************************************
*********************************************************** Java
Questions What is Java? Java is a programming language used on
computers. It is used to program applications and also enhance mobile
phone gaming. What is J2ME? J2ME stands for Java 2 Micro Edition. It
is a Java technology that is designed specifically to work on small
devices like mobile phones, PDAs etc. J2ME applications are delivered
to a mobile phone over the WAP or GPRS network. What is a Java enabled
phone? A Java enabled phone is a phone that allows you to play
enhanced games and use application. (Example: Nokia - 3530, 3650,
6100, 6610, 7210, 7250, 7650 Motorola - C350, T720) Are all phones
Java capable? The latest phones that have been released in 2003 and
late 2002, are likely to be Java phones. You can refer this to the
handset manual. The MAIS is currently patented with a CPT code and
being submitted to the FDA and AMA. David Kanecki, MBA, A.C.S., Bio.
Sci. Who I'd like to meet:
EVERYONE! PEOPLE IN THE MEDICAL FIELD THAT WORK WITH IMAGING FOR
CT,MRI,PET. OUR MEDICAL IMAGING ANLAYSIS SOFTWARE IS UNDER THE AMA
STUDY! THE SOFTWARE CONVERTS DICOM IMAGES ONTO A CHART SO CANCER CAN
BE DETECTED IN THE EARLY STAGE. SO, I WOULD LIKE TO MEET PEOPLE THAT
WOULD LIKE TO PUT A END TO CANCER! KENNETH LERTER HAYNES, MY
INSPIRATION FOR FINDING THE CURE PASSED THIS YEAR FORM CANCER.
*********************************************************** MEDICAL
IMAGING ANALYSIS SOFTWARE READS MRI,CT,AND PET SCANS PATENT... COME
JOIN US IN THE NEW ERROR OF EARLY CANCER DETECTION!
*********************************************************** Electronic
Acknowledgement Receipt EFS ID: 2596810 Application Number: 61014070
Confirmation Number: 9405 International Application Number: Title of
Invention: Medical Imaging Analysis and Diagnosis of MRI, CT, and PET
Scans First Named Inventor/Applicant Name: David H Kanecki
Correspondence Address: David Kanecki - P.O. Box 866 - Kenosha WI
53141 US 262-327-2605 david@kanecki,com
**********************************************************
********************************************************** Application
Type: Provisional Time Stamp: 22:27:17 Filing Date: Receipt Date: 16-
DEC-2007 Attorney Docket Number: Filer Authorized By: Filer: David
Kanecki Payment information: Submitted with Payment no File Listing:
Document Number Document Description File Name File Size(Bytes) /
Message Digest Multi Part /.zip Pages (if appl.) 1 mias60patent.pdf
689925 yes 10 e09dc84986ef00f76a335f83e743ed70a f7789b4 Multipart
Description/PDF files in .zip description Document Description Start
End Provisional Cover Sheet (SB16) 1 1 Claims 2 10 Warnings:
Information: 2 Fee Worksheet (PTO-06) fee-info.pdf 8099 no 2
5858f081eaf1f9389b5dfa6990bec95b2 34c5450 Warnings: Information: Total
Files Size (in bytes): 698024 This Acknowledgement Receipt evidences
receipt on the noted date by the USPTO of the indicated documents,
characterized by the applicant, and including page counts, where
applicable. It serves as evidence of receipt si