[181]
The Diagnosis and Treatment of Lung Cancer
[1405,4 KB]
From [www.nice.org.uk] Last viewed: 07.09.2006
S:\Patient Involvement\Meetings and Events\Patient Forum\Forum 201005\Forum Report 201005a.doc
Tayside Cancer Network
Patient Forum
Report from Patient Forum Meeting
20 October 2005
14 Forum members and three members of staff attended the Forum. Four members
sent apologies (see Appendix for list).
This was a one-item agenda: patient information and how it is made available to
patients, their carers and family.
1
Introduction
This issue is complex. While some people want to know as much as possible about
their cancer and future treatments, others choose to know nothing. Some opt not to
tell even family or friends about their cancer .
It is one of the issues raised most by patient representatives. The three Perth and
Dundee groups assisting Stirling University Cancer Care Research Centre in its
work also raise the topic regularly. Patients have spoken of not being ...
[182]
Skin cancer-epidemiology, diagnosis and management
[1724,2 KB]
From [www.tdgp.com.au] Last viewed: 07.09.2006
Skin cancer -epidemiology,
diagnosis and management
B. Raasch
Assoc. Professor
James Cook University SOM
Page 2
Page 3
Australia
(NCCI report 2003)
• In 2002-
– 118,000 treated for SCC and
– 256,000 for BCC
• MM-
– 8531 diagnosed
– 971 died
• Since 1985
– BCC rates increased by 35%
– SCC increased by 133%
Page 4
Sadly-
Melanoma-Queensland
(2002)
• ASR/100,000/yr
• M 74.5
• F 51.5
• NMSC-Australia
(2002)
• M 1540
• F 1036
• Melanoma-Townsville
(1998)
• ASR/100,000/yr
• M
49.1
• F
41.7
• NMSC-Townsville
(1998)
• M 2272 (4553)
• F 1382 (2148)
AIHW & AACR 1998, Buettner & Raasch 1998,NCCI 2003
Page 5
...
[183]
The Diagnosis of Lung Cancer Using 1064-nm Excited Near-infrared ...
[58,6 KB]
From [www.nv-med.com] Last viewed: 07.09.2006
1
Volume 20, Number 6
ORIGINAL ARTICLE
ORIGINAL ARTICLE
Radiation Medicine: Vol. 21 No. 1, 1–6 p.p., 2003
The Diagnosis of Lung Cancer Using 1064-nm Excited
Near-infrared Multichannel Raman Spectroscopy
Hiroya Yamazaki,*
,
** Shoji Kaminaka,*
,
** Ehiichi Kohda,* Makio Mukai,***
and Hiro-o Hamaguchi**
Purpose: Raman spectroscopy is based on Raman scattering of light from molecules. Because
the wavelength of Raman scattered light depends on molecular composition, Raman spectra
provide highly useful information about molecular composition. It has already been shown
that Raman spectroscopy is potentially useful for the clinical diagnosis of malignant tumors.
However, this technique had never been applied to the diagnosis of lung cancers, primarily
because of interference from the strong fluorescence emitted from lung tissues. ...
[184]
Diagnosis of Chest Wall Invasion by Lung Cancer: Useful Criteria ...
[618,7 KB]
From [www.nv-med.com] Last viewed: 07.09.2006
283
Volume 18, Number 5
ORIGINAL ARTICLE
ORIGINAL ARTICLE
Radiation Medicine: Vol. 18 No. 5, 283–290 p.p., 2000
Diagnosis of Chest Wall Invasion by Lung Cancer :
Useful Criteria for Exclusion of the Possibility
of Chest Wall Invasion with MR Imaging
Seiji Shiotani,*
1
Kazuro Sugimura,*
2
Masaki Sugihara,*
3
Hideaki Kawamitsu,*
3
Masanobu Yamauchi,*
4
Manabu Yoshida,*
5
Takehisa Kushima,*
6
Takahiro Kinoshita,*
7
Hideho Endoh,*
8
Hidetsugu Nakayama,*
1
Motonao Kajitani,*
1
and Mitsuyoshi Wada*
1
Purpose: To compare the accuracy of thin-section CT, conventional static MR imaging
(conventional MRI), and breathing dynamic echo planar magnetic resonance ...
[185]
Effect of Temporal Subtraction Technique on the Diagnosis of ...
[75,2 KB]
From [www.nv-med.com] Last viewed: 07.09.2006
MATSUDA
ET AL
112
RADIATION MEDICINE
ORIGINAL ARTICLE
Radiation Medicine: Vol. 21 No. 3, 112–119 p.p., 2003
Effect of Temporal Subtraction Technique on the Diagnosis
of Primary Lung Cancer with Chest Radiography
Takeshi Matsuda,* Yoshifumi Yasuhara,* Akiko Kano,**
Teruhito Mochizuki,* and Junpei Ikezoe*
Purpose: The purpose of this study was to assess the diagnostic accuracy of the temporal
subtraction technique in the detection of primary lung cancers by readers with different levels
of experience.
Methods: Previous and current chest radiographs from 40 patients with histologically proven
lung cancer and 40 controls were studied. Temporal subtraction images were produced using
an automated digital subtraction technique. We evaluated the effect of temporal subtraction
images in the diagnosis of lung cancer with chest radiographs via an observer ...
[186]
Diagnosis of Tis/T1 Breast Cancer Extent by Multislice Helical CT ...
[61,5 KB]
From [www.nv-med.com] Last viewed: 07.09.2006
187
Volume 21, Number 5
ORIGINAL ARTICLE
ORIGINAL ARTICLE
Radiation Medicine: Vol. 21 No. 5, 187–192 p.p., 2003
Diagnosis of Tis/T1 Breast Cancer Extent by Multislice Helical CT:
A Novel Classification of Tumor Distribution
Mitsuhiro Tozaki,* Makio Kawakami,** Masafumi Suzuki,** Ken Uchida,***
Akinori Yamashita,*** and Kunihiko Fukuda*
Purpose: To evaluate the clinical usefulness of multislice helical CT (MSCT) for assessing
breast cancer extent.
Materials and Methods: MSCT was performed in 70 patients with Tis/T1 breast cancer [12
ductal carcinoma in situ (DCIS) and 58 invasive carcinoma]. The distribution pattern of contrast
enhancement (CE) was classified into five categories: solitary lesion (localized area of CE),
grouped lesion (satellite: localized CE with linear and/or spotty enhancement; crowded:
clustered spotty enhancement), separated lesion ...
[187]
Completing the Picture in Cancer Diagnosis
[154,6 KB]
From [www.medical.philips.com] Last viewed: 07.09.2006
The UK’s Royal Marsden Hospital is
Europe’s largest comprehensive cancer
centre treating more than 30,000 patients
per year both from the UK and abroad.
It is based at two sites: one in West
London, the other in the London suburb
of Sutton. Both offer a wide range of
cancer care services but, in addition,
Sutton has evolved special expertise in
paediatrics and in head and neck cancers
and has developed a very close symbiotic
relationship with its neighbour, the
University of London’s world-renowned
Institute of Cancer Research.
The hospital has recently become one
of the first of the UK’s National Health
Service (NHS) trusts to achieve
‘Foundation’ status, with the autonomy
to originate and manage its own capital
investment programmes. It has respon-
ded by launching a £30 million
fundraising project – one of the most
ambitious ever undertaken by a UK
hospital. ...
[188]
Breast cancer diagnosis using high resolution thermal imaging
[251,0 KB]
From [www.aim-ir.de] Last viewed: 07.09.2006
Breast cancer diagnosis using high resolution thermal imaging
1. NEED AND RELEVANCE
Dynamic Infrared Imaging or DIRI, as the name implies, is a dynamic imaging method that records passive infrared radiation
(IR) emitted from tissue. Living tissue continuously emits an oscillating flux of IR photons in the 8 to 10 micron frequency
range. IR intensity is proportional to the temperature of the radiating tissue and indirectly the degree of tissue perfusion.
Measuring and analyzing the changes in photon flux, and thereby the changes in tissue perfusion, provides unique insight
into the physiology of disease. DIRI has superficial similarities to a past technique call thermography but the means by
which the data is collected and processed are so different that this dynamic method is described in the literature as a new and
distinct modality referred to alternatively as DIRI, HPIR or DAT.
Figure 1 Experimental setup of the ...
[189]
DIAGNOSIS AND MANAGEMENT OF CANCER
[69,1 KB]
From [www.anshan.co.uk] Last viewed: 07.09.2006
Distribution by: CBS, Units I/K Paddock Wood Distribution Centre, Paddock Wood, Tonbridge, Kent. UK. TN12 6UU.
Tel: +44 (0) 1892 837171 Fax: +44 (0) 1892 837272 Teleordering mnemonic: combook
ANSHAN LTD 6 Newlands Road Tunbridge Wells Kent TN4 9AT UK Tel/Fax: +44 (0) 1892 557767
Mobile: 07818064694 Registered No: 04668409 E-Mail: anshan@btopenworld com www anshan co uk
DIAGNOSIS AND
MANAGEMENT OF CANCER
ASHOK MEHTA
Head of Oncology, DIB. Nanavati Hospital, Mumbai
SC BANSAL
Consultant Surgeon, Oncology, Delhi
This book gives a thorough overview on the diagnosis and management of all cancer types. Well
referenced, it is suitable for all levels of student and for practicing surgeons and GPs.
Contents: The Nature of Cancer and principles of Diagnosis ; Cancer of the Breast; Cervix; Corpus
Uteri; Ovary; Vulva and Vagina; Tumours of the Trophoblast; Malignant ...
[190]
ORAL CANCER BACKGROUND PAPERS Chapter V: Early Detection ...
[89,9 KB]
From [www.cdc.gov] Last viewed: 07.09.2006
ORAL CANCER BACKGROUND PAPERS
Chapter V: Early Detection,
Diagnosis and Staging
Working Draft
Page 2
Chapter V: Early Detection, Diagnosis and Staging
V-1
A. State of the Science
Screening and Early Detection
Screening for oral cancer should include a thorough history and physical examination. The clinician
1,2
should visually inspect and palpate the head, neck, oral, and pharyngeal regions. This procedure
involves digital palpation of neck node regions, bimanual palpation of the floor of mouth and tongue,
and inspection with palpation and observation of the oral and pharyngeal mucosa with an adequate
light source; mouth mirrors are essential to the examination. Forceful protraction of the tongue with
gauze is necessary to visualize fully the posterior lateral tongue and tongue base.
The clinician should review the social, familial, ...
[191]
Software Tool for Computer Aided Diagnosis of Breast Cancer in ...
[197,2 KB]
From [www.tbs.ts.it] Last viewed: 07.09.2006
EuroPACS-MIR 2004 in the Enlarged Europe
8.3
P. Inchingolo & R. Pozzi-Mucelli (Eds)
Software Tool for Computer Aided Diagnosis of Breast Cancer in
Contrast Enhanced MR Sequences
Luigi Carotenuto
1
, Mauro Ercolani
1
, Roberto Passariello
2
, Carlo Catalano
2
,
Federica Pediconi
2
, Fiammetta Venditti
2
1
Tecnobiomedica S.p.A., Pomezia (RM), Italy
2
Department of Radiological Sciences, University of Rome La Sapienza, Italy
Corresponding author: Luigi Carotenuto, Via Vaccareccia 41, 00040 Pomezia (RM),
L.carotenuto@tecnobiomedica.it
Contrast Enhanced MRI (CE-MRI) is a relatively new
technique in clinical use for Breast cancer detection and
classification. CE-MRI, besides detecting morphologi-
cal information of the lesion, can provide ...
[192]
Cancer Diagnosis without Biopsies
[36,3 KB]
From [www.hpk.co.jp] Last viewed: 07.09.2006
Research Paper 479
An earlier age of breast cancer diagnosis related to more
frequent use of antiperspirants/deodorants and underarm
shaving
K G McGrath
Breast cancer incidence suggests a lifestyle cause. A
lifestyle factor used near the breast is the application of
antiperspirants/deodorants accompanied by axillary shav-
ing. A previous study did not support a link with breast
cancer . If these habits have a role in breast cancer
development, women using antiperspirants/deodorants
and shaving their underarms frequently would be expected
to have an earlier age of diagnosis than those doing so less
often. An earlier age of diagnosis would also be expected
in those starting to use deodorants and shaving at an
earlier age. This is the first study to investigate the intensity
of underarm exposure in a cohort of breast cancer
survivors. Four hundred and thirty-seven ...
[193]
New cancer diagnosis method on the basis of fuzzy theory and boosting
[195,6 KB]
From [www.jsbi.org] Last viewed: 07.09.2006
New cancer diagnosis method
on the basis of fuzzy theory and boosting
Hiro Takahashi
1
Hiroyuki Honda
1
h041305d@mbox.nagoya-u.ac.jp
honda@nubio.nagoya-u.ac.jp
1
Department of Biotechnology, School of Engineering, Nagoya University,
Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
Keywords : cancer diagnosis , boosting, fuzzy theory, reliability evaluation
1 Introduction
For adequate treatment of patients, it is important that the accurate and reliable algorithm is developed for
construction of diagnosis system. Artificial neural network (ANN) [4], and fuzzy neural network (FNN)
combined with SWEEP operator method (FNN-SWEEP method) [1] are useful for constructing cancer class
prediction model with high accuracy. However, ANN and FNN-SWEEP method have overfitted the data
used in the model construction process because these ...
[194]
Finding Benefit in Breast Cancer During the Year After Diagnosis ...
[59,3 KB]
From [www.psy.miami.edu] Last viewed: 07.09.2006
Finding Benefit in Breast Cancer During the Year After Diagnosis Predicts
Better Adjustment 5 to 8 Years After Diagnosis
Charles S. Carver and Michael H. Antoni
University of Miami
Cancer patients experience positive as well as adverse consequences from diagnosis and treatment. The
study reported here examined longer term reverberations of such experiences. A set of benefit-finding
items along with measures of well-being were completed by 230 early-stage breast cancer patients in the
year postsurgery. Four to 7 years later, 96 of them again completed measures of well-being. Controlling
for initial distress and depression, initial benefit finding in this sample predicted lower distress and
depression at follow-up.
Key words: quality of life, breast cancer , benefit finding, cancer sequelae
Breast cancer patients confront many stressors. Most impactful
is the diagnosis itself (e.g., ...
[195]
Colorectal cancer in geriatric patients: Endoscopic diagnosis and ...
[96,9 KB]
From [www.wjgnet.com] Last viewed: 07.09.2006
•
COLORECTAL CANCER
•
Colorectal cancer in geriatric patients: Endoscopic diagnosis and
surgical treatment
Andreas Kirchgatterer, Pius Steiner, Dietmar Hubner, Eva Fritz, Gerhard Aschl, Josef Preisinger, Maximilian Hinterreiter,
Bernhard Stadler, Peter Knoflach
PO Box 2345, Beijing 100023, China
World J Gastroenterol 2005;11(3):315-318
Fax: +86-10-85381893
World Journal of Gastroenterology ISSN 1007-9327
E-mail: wjg@wjgnet.com www.wjgnet.com
© 2005 The WJG Press and Elsevier Inc. All rights reserved.
ELSEVIER
Andreas Kirchgatterer, Pius Steiner, Dietmar Hubner, Eva Fritz,
Gerhard Aschl, Maximilian Hinterreiter, Bernhard Stadler,
Peter Knoflach, First Department of Medicine/Gastroenterology,
General Hospital Wels, Wels, Austria
Josef Preisinger, Second Department of Surgery, General Hospital
Wels, Wels, Austria
Correspondence ...
[196]
Questions You Should Ask A cancer diagnosis can be complicated ...
[352,6 KB]
From [www.karmanos.org] Last viewed: 07.09.2006
4100 John R | Detroit, MI 48201
(800) KARMANOS (1-800-527-6266)
www.karmanos.org | info@karmanos.org
(313) 966-8646 (fax)
The Meyer L. Prentis Comprehensive Cancer Center
of Metropolitan Detroit, operated by the
Karmanos Cancer Institute, is one of 39 nationally-
designated comprehensive cancer centers in the United States.
Questions You Should Ask
A cancer diagnosis can be complicated. But patients who ask questions and remain involved
in their treatment decisions feel more in control. Write down questions when you think of
them. Bring a family member or friend to your physician appointments to take notes. If
anything is unclear, ask again. Keep your notes in one place.
1. What is my exact diagnosis ?
2. What are my treatment options?
3. What do you recommend? What would physicians in other specialties recommend?
4. What are the side effects and complications of ...
[197]
Epidemiology and diagnosis of the pancreatic cancer
[146,2 KB]
From [wwwscielo.isciii.es] Last viewed: 07.09.2006
Hidalgo Pascual M, Ferrero Herrero E, Castillo Fé MJ, Guadar-
rama González FJ, Peláez Torres P, Botella Ballesteros F. Epi-
demiology and diagnosis of the pancreatic cancer . Rev Esp En-
ferm Dig 2004; 96: 714-722.
INTRODUCTION
Pancreatic cancer is the fourth leading cause of cancer -re-
lated mortality in the United States. The yearly number of
newly-diagnosed patients and the yearly mortality rate are
very close together. In 1988, around 27,000 new patients
were detected in the United States, and nearly 24,500 of
these died; in 1999, 185,000 new cases were recorded, with
a death rate of 0.99; 28,000 patients died of this disease in
the USA in 1998, which represents a fair estimate of pancre-
atic cancer yearly increase. In Spain, figures suggest that
mortality increased by 164% in women and by 200% in
males over the past 40 years. More specifically, 58 new cas-
es ...
[198]
APPLYING MACHINE LEARNING TECHNIQUES TO ANALYSIS OF GENE ...
[198,5 KB]
From [bi.snu.ac.kr] Last viewed: 07.09.2006
1
12
APPLYING MACHINE LEARNING
TECHNIQUES TO ANALYSIS OF GENE
EXPRESSION DATA: CANCER DIAGNOSIS
Kyu-Baek Hwang, Dong-Yeon Cho, Sang-Wook Park, Sung-Dong Kim, and
Byoung-Tak Zhang
{kbhwang, dycho, swpark, sdkim, btzhang}@bi.snu.ac.kr
Biointelligence Laboratory, School of Computer Science and Engineering, Seoul National
University, Seoul 151-742, Korea
Abstract.
Classification of patient samples is a crucial aspect of cancer diagnosis . DNA
hybridization arrays simultaneously measure the expression levels of
thousands of genes and it has been suggested that gene expression may
provide the additional information needed to improve cancer classification and
diagnosis . This paper presents methods for analyzing gene expression data to
classify cancer types. Machine learning techniques, such as Bayesian networks,
neural trees, and radial basis function ...
[199]
Applying Machine Learning Techniques to Analysis of Gene ...
[188,7 KB]
From [bi.snu.ac.kr] Last viewed: 07.09.2006
Applying Machine Learning Techniques to Analysis of Gene Expression Data:
Cancer Diagnosis
Kyu-Baek Hwang, Dong-Yeon Cho, Sang-Wook Park
Sung-Dong Kim, and Byoung-Tak Zhang
Artificial Intelligence Lab (SCAI)
School of Computer Science and Engineering
Seoul National University
Seoul 151-742, Korea
{kbhwang, dycho, swpark, sdkim, btzhang}@scai.snu.ac.kr
Abstract
Classification of patient samples is a crucial aspect of cancer diagnosis . DNA hybridization arrays
simultaneously measure the expression levels of thousands of genes and it has been suggested that
gene expression may provide the additional information needed to improve cancer classification
and diagnosis . This paper presents methods for analyzing gene expression data to classify cancer
types. Machine learning techniques, such as Bayesian networks, neural trees, and radial basis
function (RBF) networks, are used for ...
[200]
Background Document: Michigan Cancer Consortium (MCC ...
[133,8 KB]
From [www.michigan.gov] Last viewed: 07.09.2006
Michigan Cancer Consortium
Recommendations for the
Early Diagnosis of Cervical Cancer , 2003
n 1996, the Michigan Department of Public Health (now the Michigan Department of
Community Health) released a 98-page document entitled Cervical Cancer Screening &
Detection in Michigan: Recommendations to Reduce Mortality.
The guidelines were the result of several years of research and the collective expertise of
professionals from the fields of public health, medicine, nursing, and epidemiology. They were
written by members of the Cervical Cancer Advisory Committee, a subcommittee of the
Department’s Michigan Cancer Consortium (MCC), to guide the practice of health care
providers in conducting cervical cancer screening examinations and follow-up of abnormalities.
I
In December 2000, in recognition of the changed state of science, the MCC (now an
independent body comprised ...
[201]
How do families cope with a breast cancer diagnosis?
[269,7 KB]
From [www.bcna.org.au] Last viewed: 07.09.2006
1
Winter 1999
Issue 7
I
NSIDE
S
TATE
R
OUND
-
UP
2
T
HE
N
EEDS OF
F
AMILIES
4
I
SSUES OF
C
ONCERN
6
M
Y
J
OURNEY
8
N
EW
R
ESOURCES
10
C
OMING EVENTS
12
Breast Cancer
Network Australia
newsletter
The impact of breast cancer is felt
throughout a family unit. Read Kerry’s
amazing story on page 8.
W
hen I was told I had breast
cancer in 1993 the news
affected not only me, but
also my family and the people who cared
about me.
The news had huge ramifications for
my husband, two young children,
parents, brothers ...
[202]
Breast Cancer Diagnosis
[646,5 KB]
From [www.ellisfischel.org] Last viewed: 07.09.2006
T
he Mammography Quality Standards
Act passed in 1992 by the federal
government, although representing
one of the most intrusive governmental
actions ever regarding the practice of medi-
cine, clearly represented a true advance for
American women. The truth is that up until
that point radiologists and clinicians were
doing a poor job at breast cancer diagnosis .
Since that time radiologists have tried to
maintain high quality mammography services
nation wide.
The breast imaging community is
endangered. A recent published poll of radiol-
ogy residents revealed that while most
thought that breast specialists should interpret
breast exams, the majority would not consider
a fellowship in breast imaging. Cited reasons
included high stress, medicolegal risk and low
reimbursement. Technologists are choosing
mammography as a career in smaller num-
bers. Even in the best ...
[203]
Delay in Radiation Treatment After Prostate Cancer Diagnosis May ...
[89,0 KB]
From [www.taylorwrites.com] Last viewed: 07.09.2006
1
DESIGN OF CONSISTENT SYSTEM FOR RADIOLOGISTS TO
SUPPORT BREAST CANCER DIAGNOSIS
Boris Kovalerchuk,
Department of Computer Science, Central Washington University, Ellensburg, WA 98926-7520, USA
borisk@cwu.edu
Evgenii Vityaev,
Institute of Mathematics, Russian Academy of Science, Novosibirsk, 630090, Russia
vityaev@math.nsk.ru
James F. Ruiz
Department of Radiology, Woman’s Hospital, Baton Rouge, LA 70895-9009, USA
ABSTRACT
The overall purpose of this study is to develop
a prototype radiologic consultation system. The system
should provide a second diagnostic opinion based on
similar cases, incorporating the experience of many
radiologists, their diagnostic rules and a data base of
previous cases. The system allows a radiologist to
enter the description of a particular case using the
lexicon such as BI-RADS of American College ...
[204]
Diagnosis of ovarian cancer using decision tree-classification of ...
[638,5 KB]
From [www2.in.tu-clausthal.de] Last viewed: 07.09.2006
©
2003 Hindawi Publishing Corporation
Journal of Biomedicine and Biotechnology
•
2003:5 (2003) 308–314
•
PII. S1110724303210032
•
http://jbb.hindawi.com
RESEARCH ARTICLE
Diagnosis of Ovarian Cancer Using Decision Tree
Classification of Mass Spectral Data
Antonia Vlahou,
1,2
*
John O. Schorge,
3
Betsy W. Gregory,
1,2
and Robert L. Coleman
3
1
Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, VA 23501, USA
2
Virginia Prostate Center, Eastern Virginia Medical School and Sentara Cancer Center, Norfolk, VA 23501, USA
3
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology,
University of Texas Southwestern, Dallas, TX 75390, USA
Received 24 October 2002; ...
[205]
Chapter 6: Early Detection, Diagnosis, and Prognosis of Breast ...
[353,4 KB]
From [planning.cancer.gov] Last viewed: 07.09.2006
Report of the Breast Cancer Progress Review Group
October 2004
6-1
Chapter 6: Early Detection, Diagnosis , and Prognosis
Chapter 6:
Early Detection, Diagnosis , and Prognosis of
Breast Cancer : NCI’s Investment and Recent
Progress
In the coming decade, we should strive to develop noninvasive methods for detecting and characterizing
with certainty precancerous and cancerous breast lesions when they are small and more easily treated.
Charting the Course: Priorities for Breast Cancer Research
Research has shown that early detection, in combination with effective treatment, can reduce mortality from breast cancer . The
steady drop in breast cancer mortality rates since the early 1990s has, to a great extent, been due to improvements in screening
and treatment. NCI is supporting research on early detection to improve the technologies and practices ...
[206]
Generating concise and accurate classification rules for breast ...
[140,0 KB]
From [www.comp.nus.edu.sg] Last viewed: 07.09.2006
Generating concise and accurate classification rules
for breast cancer diagnosis
Rudy Setiono
School of Computing
National University of Singapore
Kent Ridge, Singapore 119260
Republic of Singapore
Email:rudys@comp.nus.edu.sg
Phone:(65) 772-6297
Fax :(65) 779-4580
1
Page 2
Abstract
In our previous work, we have presented an algorithm that extracts classification rules
from trained neural networks and discussed its application to breast cancer diagnosis .
In this paper, we describe how the accuracy of the networks and the accuracy of the
rules extracted from them can be improved by a simple pre-processing of the data.
Data pre-processing involves selecting the relevant input attributes and removing those
samples with missing attribute values. The rules generated by our neural network rule
extraction algorithm are more concise and accurate than ...
[207]
Methods for Multi-Category Cancer Diagnosis from Gene Expression ...
[240,6 KB]
From [cmbi.bjmu.edu.cn] Last viewed: 07.09.2006
813
MEDINFO 2004
M. Fieschi et al. (Eds)
Amsterdam: IOS Press
© 2004 IMIA. All rights reserved
MethodsforMulti-CategoryCancerDiagnosisfromGeneExpressionData:
A Comprehensive Evaluation to Inform Decision Support System Development
Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos
Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos
Abstract
Cancer diagnosis is a major clinical applications area of gene
expression microarray technology. We are seeking to develop a
system for cancer diagnostic model creation based on microar-
ray data. We performed a comprehensive evaluation of several
major classification algorithms, gene selection methods, and
cross-validation designs using 11 datasets spanning 74 diagnos-
...
[208]
Childhood Cancer is a Family Diagnosis
[24,3 KB]
From [www.childcancer.org] Last viewed: 07.09.2006
• When a child is diagnosed with cancer it becomes a family diagnosis . Life as it
was for the family has changed forever. Each member of the family must take
on a new role, which revolves around the illness.
• Pediatric Cancer Families experience a wide range of emotional, psychological
and economic impacts. The changes flood quickly and the adjustment must be
just as swift to survive. You are now faced with fighting for your child’s life
and it affects every aspect of yours.
• The diagram below depicts a brief visual of potential impacts. Local hospitals
concur that a family will have an additional expense annually of approx.
$40,000.00 even if the child’s illness is covered by insurance.
Childhood Cancer
Family
Siblings:
Childcare & School Issues
$$$
Physical & Emotional Changes
for the Child/Teen ...
[209]
IMAGE-PROC-S1 Software tool for computer aided diagnosis of breast ...
[18,3 KB]
From [www.tbs.ts.it] Last viewed: 07.09.2006
Session & Paper Number :
IMAGE-PROC-S1
: 8.3
Paper ID : #26
Title:
Software tool for computer aided diagnosis of breast cancer in contrast enhanced
MR sequences
Speaker: Luigi Carotenuto (Italy)
Time and Place : Friday, Sept. 17, 2004, AM - Room OCEANIA
Abstract
Contrast Enhanced MRI (CE-MRI) is a relatively new technique in clinical use for Breast cancer
detection and classification. CE-MRI, besides providing morphological information of the lesion,
can provide dynamic information on the contrast medium behaviour, related to the intensity of MRI
signal over time. Four different types of Signal Intensity/Time (SI/T) curves, helping to distinguish
four types of lesion (Ia, Ib, II, III), have recently been developed. According to this approach, we
have realized a new software environment, DICOM compatible, that is able to automatically load ...
[210]
Cancer Diagnosis with the Power of Molecular Knowledge
[114,8 KB]
From [www.pref.aichi.jp] Last viewed: 07.09.2006
Cancer Diagnosis with the Power of
Molecular Knowledge
January 27, 2001
International Conference Hall
Aichi Cancer Center
Nagoya, Japan
Aichi Cancer Center International Symposium VII
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Aichi Cancer Center
International Symposium VII
Cancer Diagnosis with the Power of
Molecular Knowledge
Committee of the Aichi Cancer Center International Symposium
Chairperson:
Makoto Ogawa
Ryuzo Ohno
Suketami Tominaga
Joichi Yamada
Katsuhisa Morita
Yoshio Yamamoto
Kazuhiko Ohashi
Toshitada Takahashi
Takashi Takahashi
Organizing Committee of the Seventh Symposium
Chairperson:
Toshitada Takahashi
Kazuhiko Ohashi
Shigeo Nakamura
Tetsuya Mitsudomi
Masao Seto
Takashi Takahashi
Yasushi Yatabe
Akira Yamada
Yoko Nakashima
January 27, 2001
Aichi ...