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  Legenda: last week last month

  [181] The Diagnosis and Treatment of Lung Cancer
      PDF [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
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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
      PDF [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
      PDF [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
      PDF [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 ...
      PDF [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 ...
      PDF [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
      PDF [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
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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?
      PDF [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
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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 ...
      PDF [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
      PDF [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 ...
      PDF [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
      PDF [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 Page 2 1 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 ...