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@[EMAIL PROTECTED]
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 surp***** 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 re****t 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 im****tant in determining
if someone has cancer. The first part of the testing involved
calibrating the MIAS 60 Laboratory program along with establi****ng
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 re****t 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. RESULTS The following results are produced: Series
ID Neg. Ctrl. Set Patient Set Predicted Cancer Result Expected Cancer
Result Expected Symptom Result Correct Cancer (Y/N) Correct Symptom (Y/
N) 1 Fnc1 Fpc1 P P ---- Y Y 2 Fnc1 Fnc2 N N --- Y Y 3 Fnc1 Mnc1 N N
--- Y Y 4 Fnc1 T3 N N --- Y Y 5 Mnc1 T N N --- Y Y 6 Fnc1 N1 N N --- Y
Y 7 Mnc1 N1 N N --- Y Y 8 P005 P005 N N --- Y Y Visit1 Visit2 9 P005
T1 N N --- Y Y 10 Fnc1 T2 N N --- Y Y 11 Mnc1 T5 N N --- Y Y 16 Fnc1
T06 P P --- Y Y 17 Fnc1 T07 N [P] P N N 18 P007 P012 N [P] P N Y 19
Fnc3 P013 N N --- Y Y 20 Fnc3 P015 N P P Y Y 21 Fnc3 P008 P P --- Y Y
22 Fnc3 P016 N [P] TBD N 23 Fnc3 P018 P P P Y Y 24 Mnc1 P019 N [P] P N
Y 25 Fnc1 P020 N N --- Y Y 26 P022 P021 N N --- Y Y 27 Fnc1 P023 N N
--- Y Y 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.
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