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Cancer Screening
Facts & Fiction
Dr. Shad Salim Akhtar
MBBS, MD, MRCP(UK), FRCP(Edin), FACP(USA), MAUICC Fellows
Consultant Medical Oncologist &
Medical Director
Prince Faisal Oncology Center &
King Fahd Specialist Hospital
Buraidah, Al-Qassim
Fight against cancer
 Did you know?
 Average years of life lost
 Cardiac causes 11 years
 Cancer 15 years
 Curative treatment
 Prevention
 Early detection
CANCER UNDEFEATED
N Engl J Med1997;336:1569-74
In 1986, we concluded that “some 35
years of intense effort focused
largely on improving treatment must
be judged a qualified failure.” Now,
with 12 more years of data and
experience, we see little reason to
change that conclusion,…..
JOHN C. BAILAR III M.D., PH.D., HEATHER L. G ORNIK M.H.S.
Cancer screening-What is the
aim?
 Detect asymptomatic potentially curable
disease
 Earlier than otherwise would occur
 Earlier diagnosis should result in improved
outcome
 Reduce morbidity and mortality from a
particular cancer in screened population
 Reality xelpmoc (COMPLEX)
Suitable cancer for screening
 Substantial morbidity & mortality
 Major disease burden
 High prevalence in a detectable
preclinical phase
 Sojourn time
 Early detection should lead to improved
and effective therapy
 A good screening testgood screening test should be
available
Ideal Screening test
 Should separate the two populations
 Apparently well with the disease
 Those who do not have the disease
 Acceptable
 Inexpensive
 High specificity and sensitivity
 Least inconvenience and discomfort
 Feasible for use in large numbers
Kramer BS. NCI 1995
Relative risk of developing
Breast Cancer: Gail Model
Age at first live
birth
No of affected relative
0 1 >=2
<=20 1 2.6 6.8
20-24 1.2 2.7 5.8
25-29 or None 1.5 2.8 4.2
>=30 1.9 2.8 4.2
Gail MH et al:J Natl Cancer Inst 1989; 81:1879-86
Relative risk of developing
Breast Cancer
Evans DGR, Howells A: Breast Ca Res 2007; 9:213
Relative risk of developing
Breast Cancer
Evaluation of a screening test
 Sensitivity
 Positive if the disease is present
 High sensitivity
 Low false negative rate
 Specificity
 Negative if the disease is absent
 High specificity
 Low false positive rate
Is there a tiger?
NO NO NO NO
SENSITIVITY
SPECIFICITY
YES YES YES YES
Screening test evaluation
 Sensitivity TP/TP+FNX100 {a/a+cX100}
 Specificity TN/TN+FPX100 {d/d+bX100}
 PPV TP/TP+FP X100
 NPV TN/TN+FN X100
 Accuracy TP+TN/TP+FP+TN+FN X100
Test result Cancer present Cancer absent
Positive a {True Positive} b {False Positive}
Negative c {False Negative} d {True Negative}
Biases in screening
 Volunteer bias
 Different group from general population
 Motivated
 Different socioeconomic status
 Relatives of cancer patients
 High risk
 Lead time bias
 Erroneous increase in survival
 Screening symptoms death
Survival in screened population
Survival in unscreened population
Kramer BS: Urol Onc 2003;22:344-47
Biases in screening
 Length bias
 Overrepresentation of tumors with long
preclinical periods hence less rapidly
fatal
 Over diagnosis
 Diagnose a cancer which would
otherwise never become apparent
Evaluation of cancer screening
 Descriptive studies
 Not a good source
 Randomized clinical trials
 Mortality due to cancer
 Screened population vs
 Unscreened population
 Alternatives to RCT???
 Improvement in quality of life
measures in screened population
Meissner HI et al: Cancer 2004;101(5s):1251-9
Screening- Positive effects
 Improved prognosis
 Less radical treatment
 Reassurance for those with negative
test
 Resource saving if treatment costs
reduced
 Optimally reduced cancer related
mortality
Screening- Negative effects
 Economic consequences
 Psychological consequences
 Over diagnosis
 Carcinogenic effect of screening
Screening- Cost effectiveness
 Cost of diagnostic evaluation
 Therapy of screened population
 Cost benefit analysis
 Life or the benefit ascribed a value
 Cost effective analysis
 Cost to
 Detect one cancer
 Prevent one death
 Add a year or a quality adjusted year of life
Anderson MR et al:Cancer 2004;101(5s):1229-38
Screening- Cost effective analysis
 Marginal cost per year of life saved
 MCYLS =Marginal cost/marginal effectiveness
 Marginal cost of screening
 Total cost incurred in the program minus the
cost of case detection and management
without screening
 Marginal effectiveness
 Years of life expected and gained in screened
group minus years of life expected in the
group not screened
40,000 US$/MCYLS appropriate
Screening- Recommended sites
 Females
 Breast
 Endometrium
 Cervix
 Males
 Prostate
 Both sexes
 Colorectal
 Cancer related check up
American Cancer Society 2004
Breast cancer- Burden of
disease-US
 Invasive ductal ca > 200,000 women
per year
 DCIS >50,000
 >40,000 women die per year
 Second leading cause of cancer
related mortality
Jemal A et al: CA Cancer J Clin 2004;54:8-29
Chances of developing of and death
from breast ca within the next 10 yrs
Fletcher SW et al: N Engl J Med 2003;348:1672-80
0
5
10
15
20
25
30
35
40
45
50
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75
Age groups
Average age-specific incidence rate
for breast cancer-Saudi Arabia-NCR
94-96
Estimated age standardised (world population) incidence rates
of breast cancer in 1990
Makkah
Eastern
Riyadh
Madinah
Northern
Tabouk
Najran
Qassim
Hail
Al-Jouf
Jezzan
Asir
Baha
0
5
10
15
20
25
Breast Ca-age standardized rates
females NCR 94-96
Screening tools- Breast cancer
 BSE
 CBE
 Mammography
 Ultrasound
 Full Field Digital Mammography
 CAD Computer aided detection
 MRI
Smith RA et al:CA Cancer J Clin 2003;54:141-69
Randomized Clinical Trials of Breast Cancer Screening
New York trial
Reduction in Breast cancer
related death rate
30% at 10 years
23% at 18 years
Edinburgh trial
Reduction in Breast cancer
related death rate
19% at 12 years#
15% at 10 years@
age groups # 45-49 @ 50-64
Swedish two county trial
Reduction in Breast cancer
related death rate
None at 14.2 years#
23% at 11 years@
age groups # 40-49 @ 50-64
Stockholm trial
Reduction in Breast cancer
related death rate
None at 11.4 years#
30% at 11.4 years@
age groups # 40-49 @ 50-74
Canadian trials
Reduction in Breast cancer
related death rate
None at 13 years#
None at 10 years@
age groups # 40-49 @ 50-59
Boyle P: The Breast 2003; 12:351-6
Malmo trial
Canada a
Canada b
All
0.98 (0.93-1.04)
1.01 (0.88-1.16)
1.06 (0.96-1.18)
1.00 (0.96-1.05)
Relative risk (95% CI)
All cause
mortality
Medium quality
screening trials
Olsen O et al: The Lancet 2001;358:1340
mastectomies
tumorectemies
Cumulative survival of breast cancer patients aged 40–69 years at diagnosis
Tabar L et al: The Lancet 2003; 361:1405
Mammography other flaws
 Age 40-49
 Controversial
 Breast density?
 Shorter sojourn time of tumor
 (1.7 yrs vs >3.3 yrs in >50 yrs old)
 Risks
 Radiation
 10 yrs annual mammogram in 100,000
women one additional cancer
11% reported
abnormal Cancer 0.3%
False positive 10.7%
Rate of false +ive α No of mammograms
50% after 10 mammograms
And 19% need open biopsy
Frequent in younger pts
Mammography false positive
Number of women 1000
Fletcher SW et al: N Engl J Med 2003;348:1672-80
DCIS-Guess what?
 Incidence per 100,000
 1973 2.4
 1998 30.7
 Initial stage of invasive cancer??
 Incidence of invasive cancer should have
decreased…but it is not happening
 DCIS is not an uncommon finding at
autopsy of Br ca unrelated death
 ? Reservoir ?…over diagnosis of a
neoplasm which would not become
manifest !!!!
Fletcher SW et al: N Engl J Med 2003;348:1672-80
Beyond mammography
 Breast US
 Dense breasts
 More sensitive less specific
 Additional to mammography
 Full field digital mammography
 Lower overall sensitivity
 Lower recall rate
 ? Incremental cancers detected
 CAD? Second film reader
 MRI more sensitive less specific
Irwig L et al: Br J Cancer 2004; 90:2118-22
Beyond mammography-An
internet advertisement
 Breast MRI screening “is proven to be three times better
at detecting early breast cancer than x-ray
mammography.”
 “Mammograms miss 2 out of 3 breast cancers.”
 Breast MRI screening “is so accurate it can find nearly all
breast cancer.”
 Breast MRI screening provides “the absolute best early
detection of breast cancer.”
 “Superior precision…differentiates between benign breast
changes and cancer.”
 Because breast MRI screening “is much more accurate
than regular x-ray mammography, women will not have
to undergo as many unnecessary biopsies for benign
changes of the breast.”
 Breast MRI screening “is so powerful that no woman
should suffer or die from this terrible disease.”
Lee H Carol et al: J Am Coll of Radiology 2004; 1:176-82
The Use of Magnetic Resonance
Imaging in Breast Cancer
Screening
Carol H. Lee, MD, Jeffrey C. Weinreb, MD
““However, at present, the use ofHowever, at present, the use of
MRI for routine screening forMRI for routine screening for
breast cancer is not justified.”breast cancer is not justified.”
J Am Coll Radiol March 2004;1:176-182.
Department of Diagnostic Radiology, Yale University School of Medicine,
New Haven, Connecticut, USA
Robson ME et al: JAMA 2004; 292:1368
Hereditary breast cancer-MRI vs other
modalities of breast imaging
Source No of BRCA pts
Sensitivity%
Specificity%
PPV
Wait a minute. Look at the
lesions we are picking?
Martin J Yaffe The Lancet Vol 364 September 25, 2004
We need to divide women into different groups and
MRI may be the investigation for high risk women?
Occult on
mammography
cancer picked up
by MRI,
enhancement due
to angiogenesis
from invasive
ductal ca
Colorectal cancer
 Third commonest cancer and second
leading cause of cancer death (USA)
 Grows slowly over several years
 Almost all develop in a polyp
 All polyps do not become cancerous
 Higher incidence of malignant
transformation
 Larger polyp (>10 mm)
 Sessile polyps
 Adenomatous vs hyperplastic
Levin B et al: CA Cancer J Clin 2003;53:44-55
Colorectal carcinoma ACS
guidelines-Men & Women >50yrs
Fecal occult blood annual or
Flexible sigmoidoscopy 5 yrly
Or both –preferred
Double contrast barium
enema 5 yrly
Colonoscopy every 10 yrs
Smith RA et al: CA Cancer J Clin 2004;54:41-52
Status of colorectal
screening?
 Early stage disease in 37% only at
diagnosis
 Of the eligible population only 40%
get screened
 Why?
 Uncomfortable procedures
 Preparation for the procedure worse
 Physicians do not advice???
 Can it be improved?
Levin B et al: CA Cancer J Clin 2003;53:44-55
FOBT present status
 Guaiac test most commonly used
 False positive/negative results
 Food items: meat, raw fruit, vegetables
 Drugs: vitamin c, aspirin
 Need to be repeated
 Adenomas may bleed infrequently
 Advantages
 Privacy
 Noninvasive
 Home collection
Levin B et al:CA Cancer J Clin 2003;53:44-55
FOBT pilot study of
screening for CRC UK
Positive test result=1.9%
Cancer detection rate
1.6/1000 screened
16.6% Polyp cancers
48% Dukes A
UK Colorectal Cancer Screening Pilot Group:BMJ, (published 5 July 2004)
FOBT Efficacy
US UK Denmark
No of participants 46551 150251 61933
Follow up years 18 7.8 13
Rel Risk Mortality ann 0.67
RR Mortality biennial 0.79 0.85 0.82
Risk Reduction for
CRC death (biennial)
4.6
(2.9)
0.8 1.8
Walsh JM et al: JAMA 2003; 289:1288-96
Use of new technologies for
colorectal cancer screening?
 Immunochemical Fecal Occult
Blood Tests
 Detection of altered human DNA
in stool samples
 CT colonography (virtual
colonoscopy)
 Capsule video endoscopy
Reviewed by ACS Colorectal Advisory Group 2003
Immunochemical FOBT
 Monoclonal &/or polyclonal
antibodies
 Detect intact globulin protein portion of
human Hb
 Bind to hemoglobin in stools
 positive test
 No reaction with non human Hb or
other substances containing peroxidase
activity
J Allison et al: N Engl J Med 1996;334:155-159
InSureTM
Test
 Simple, quantifiable result
 Tested in 240 high risk people
 Two samples per person
 Sensitivity
 For cancer 87%
 For adenomas 47.4% (>10mm)
 Specificity (in normal population)
 97.9%
 Results confirmed by colonoscopy
 Increased compliance?
 No preparation needed
Greenberg PD et al:Am J Gastrenterol 2000;95:1331-38
DNA mutations in stool
 Adenoma Carcinoma
 Stool sample
 Extract colorectal epithelium DNA
 Amplify
 Detect mutations if any
 Noninvasive
 No preparation required
 Whole colon screened
DNA Mutations
Walsh JM et al: JAMA 2003; 289:1288-96
APC gene mutations in CRC
 APC gene mutations initiate CR neoplasm
 Stool samples
 46 neoplasia (28 CRC, 18 Adenoma) vs 28 controls
 DNA purified
 Amplification of the region between 1210 and
1581 codons
 Mutations identified in
 9/18 adenomas
 17/28 CRC
 0/28 controls
Traverso G et al:N Engl J Med 2002; 346:311-20
Digital Protein-Truncation Test
Traverso G et al:N Engl J Med 2002; 346:311-20
Total number of Mutations found 27
Deletions
Insertions
Base
substitutions
Spectrum of APC mutations in
fecal DNA
Traverso G et al:N Engl J Med 2002; 346:311-20
Colorectal Cancer Screening
What is this?
Pickardt PJ et al: N Engl J Med 2003;349:2191-200
CRC screening-CT colonography
 Obstacles to the procedure
 Bowel preparation
 Air insufflation
 Breath hold
 Comparable to colonoscopy
 Sensitivity
 10 mm polyps ~90%
 5 mm polyps ~50%
 Frank cancers ~100%
Walsh JM et al: JAMA 2003; 289:1288-96
CT colonography vs Optical
colonoscopy
 Virtual colonoscopy findings kept
blind from colonoscopist during initial
procedure
Size ≥6mm ≥7mm ≥8mm ≥9mm ≥10mm
Virtual
colonpy
180/120
85.7%
119/133
89.5%
88/95
92.6%
56/61
91.8%
47/51
92.2%
Optical
colonpy
189/210
90.0%
120/133
90.2%
85/95
89.5%
55/61
90.2%
45/51
88.2%
Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
Believe it or not?
Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
Virtual colonoscopy
 Accurate method to detect colorectal
neoplasia in asymptomatic individuals
 May be less invasive than optical
colonoscopy
 Second procedure to deal with positive
result
 Excision
 Biopsy
 Cost effectiveness?
Morrin MM et al:N Engl J Med 2003;349:2261-4
Capsule video endoscopy
 Camera in Capsule
 2 picture/second
 Images for up to 8 hours
 Works in conjunction with
 Given diagnostic system
 Portable data recorder
 Workstation producing video images
 FDA approved since Aug 2001
 Cannot picture colon yet
Levin B et al: CA Cancer J Clin 2003;53:44-55
Small bowel mass
Small bowel lymphoma
Hemagiosarcoma
This Dream May Come True Soon

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Cancer screening

  • 1. Cancer Screening Facts & Fiction Dr. Shad Salim Akhtar MBBS, MD, MRCP(UK), FRCP(Edin), FACP(USA), MAUICC Fellows Consultant Medical Oncologist & Medical Director Prince Faisal Oncology Center & King Fahd Specialist Hospital Buraidah, Al-Qassim
  • 2. Fight against cancer  Did you know?  Average years of life lost  Cardiac causes 11 years  Cancer 15 years  Curative treatment  Prevention  Early detection
  • 3. CANCER UNDEFEATED N Engl J Med1997;336:1569-74 In 1986, we concluded that “some 35 years of intense effort focused largely on improving treatment must be judged a qualified failure.” Now, with 12 more years of data and experience, we see little reason to change that conclusion,….. JOHN C. BAILAR III M.D., PH.D., HEATHER L. G ORNIK M.H.S.
  • 4.
  • 5.
  • 6. Cancer screening-What is the aim?  Detect asymptomatic potentially curable disease  Earlier than otherwise would occur  Earlier diagnosis should result in improved outcome  Reduce morbidity and mortality from a particular cancer in screened population  Reality xelpmoc (COMPLEX)
  • 7. Suitable cancer for screening  Substantial morbidity & mortality  Major disease burden  High prevalence in a detectable preclinical phase  Sojourn time  Early detection should lead to improved and effective therapy  A good screening testgood screening test should be available
  • 8. Ideal Screening test  Should separate the two populations  Apparently well with the disease  Those who do not have the disease  Acceptable  Inexpensive  High specificity and sensitivity  Least inconvenience and discomfort  Feasible for use in large numbers Kramer BS. NCI 1995
  • 9. Relative risk of developing Breast Cancer: Gail Model Age at first live birth No of affected relative 0 1 >=2 <=20 1 2.6 6.8 20-24 1.2 2.7 5.8 25-29 or None 1.5 2.8 4.2 >=30 1.9 2.8 4.2 Gail MH et al:J Natl Cancer Inst 1989; 81:1879-86
  • 10.
  • 11. Relative risk of developing Breast Cancer
  • 12. Evans DGR, Howells A: Breast Ca Res 2007; 9:213 Relative risk of developing Breast Cancer
  • 13. Evaluation of a screening test  Sensitivity  Positive if the disease is present  High sensitivity  Low false negative rate  Specificity  Negative if the disease is absent  High specificity  Low false positive rate
  • 14. Is there a tiger? NO NO NO NO SENSITIVITY SPECIFICITY YES YES YES YES
  • 15. Screening test evaluation  Sensitivity TP/TP+FNX100 {a/a+cX100}  Specificity TN/TN+FPX100 {d/d+bX100}  PPV TP/TP+FP X100  NPV TN/TN+FN X100  Accuracy TP+TN/TP+FP+TN+FN X100 Test result Cancer present Cancer absent Positive a {True Positive} b {False Positive} Negative c {False Negative} d {True Negative}
  • 16. Biases in screening  Volunteer bias  Different group from general population  Motivated  Different socioeconomic status  Relatives of cancer patients  High risk  Lead time bias  Erroneous increase in survival  Screening symptoms death Survival in screened population Survival in unscreened population Kramer BS: Urol Onc 2003;22:344-47
  • 17. Biases in screening  Length bias  Overrepresentation of tumors with long preclinical periods hence less rapidly fatal  Over diagnosis  Diagnose a cancer which would otherwise never become apparent
  • 18. Evaluation of cancer screening  Descriptive studies  Not a good source  Randomized clinical trials  Mortality due to cancer  Screened population vs  Unscreened population  Alternatives to RCT???  Improvement in quality of life measures in screened population Meissner HI et al: Cancer 2004;101(5s):1251-9
  • 19. Screening- Positive effects  Improved prognosis  Less radical treatment  Reassurance for those with negative test  Resource saving if treatment costs reduced  Optimally reduced cancer related mortality
  • 20. Screening- Negative effects  Economic consequences  Psychological consequences  Over diagnosis  Carcinogenic effect of screening
  • 21. Screening- Cost effectiveness  Cost of diagnostic evaluation  Therapy of screened population  Cost benefit analysis  Life or the benefit ascribed a value  Cost effective analysis  Cost to  Detect one cancer  Prevent one death  Add a year or a quality adjusted year of life Anderson MR et al:Cancer 2004;101(5s):1229-38
  • 22. Screening- Cost effective analysis  Marginal cost per year of life saved  MCYLS =Marginal cost/marginal effectiveness  Marginal cost of screening  Total cost incurred in the program minus the cost of case detection and management without screening  Marginal effectiveness  Years of life expected and gained in screened group minus years of life expected in the group not screened 40,000 US$/MCYLS appropriate
  • 23. Screening- Recommended sites  Females  Breast  Endometrium  Cervix  Males  Prostate  Both sexes  Colorectal  Cancer related check up American Cancer Society 2004
  • 24. Breast cancer- Burden of disease-US  Invasive ductal ca > 200,000 women per year  DCIS >50,000  >40,000 women die per year  Second leading cause of cancer related mortality Jemal A et al: CA Cancer J Clin 2004;54:8-29
  • 25. Chances of developing of and death from breast ca within the next 10 yrs Fletcher SW et al: N Engl J Med 2003;348:1672-80
  • 26. 0 5 10 15 20 25 30 35 40 45 50 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 Age groups Average age-specific incidence rate for breast cancer-Saudi Arabia-NCR 94-96
  • 27. Estimated age standardised (world population) incidence rates of breast cancer in 1990
  • 29. Screening tools- Breast cancer  BSE  CBE  Mammography  Ultrasound  Full Field Digital Mammography  CAD Computer aided detection  MRI Smith RA et al:CA Cancer J Clin 2003;54:141-69
  • 30. Randomized Clinical Trials of Breast Cancer Screening
  • 31. New York trial Reduction in Breast cancer related death rate 30% at 10 years 23% at 18 years
  • 32. Edinburgh trial Reduction in Breast cancer related death rate 19% at 12 years# 15% at 10 years@ age groups # 45-49 @ 50-64
  • 33. Swedish two county trial Reduction in Breast cancer related death rate None at 14.2 years# 23% at 11 years@ age groups # 40-49 @ 50-64
  • 34. Stockholm trial Reduction in Breast cancer related death rate None at 11.4 years# 30% at 11.4 years@ age groups # 40-49 @ 50-74
  • 35. Canadian trials Reduction in Breast cancer related death rate None at 13 years# None at 10 years@ age groups # 40-49 @ 50-59
  • 36. Boyle P: The Breast 2003; 12:351-6
  • 37. Malmo trial Canada a Canada b All 0.98 (0.93-1.04) 1.01 (0.88-1.16) 1.06 (0.96-1.18) 1.00 (0.96-1.05) Relative risk (95% CI) All cause mortality Medium quality screening trials Olsen O et al: The Lancet 2001;358:1340 mastectomies tumorectemies
  • 38. Cumulative survival of breast cancer patients aged 40–69 years at diagnosis Tabar L et al: The Lancet 2003; 361:1405
  • 39. Mammography other flaws  Age 40-49  Controversial  Breast density?  Shorter sojourn time of tumor  (1.7 yrs vs >3.3 yrs in >50 yrs old)  Risks  Radiation  10 yrs annual mammogram in 100,000 women one additional cancer
  • 40. 11% reported abnormal Cancer 0.3% False positive 10.7% Rate of false +ive α No of mammograms 50% after 10 mammograms And 19% need open biopsy Frequent in younger pts Mammography false positive
  • 41. Number of women 1000 Fletcher SW et al: N Engl J Med 2003;348:1672-80
  • 42. DCIS-Guess what?  Incidence per 100,000  1973 2.4  1998 30.7  Initial stage of invasive cancer??  Incidence of invasive cancer should have decreased…but it is not happening  DCIS is not an uncommon finding at autopsy of Br ca unrelated death  ? Reservoir ?…over diagnosis of a neoplasm which would not become manifest !!!! Fletcher SW et al: N Engl J Med 2003;348:1672-80
  • 43. Beyond mammography  Breast US  Dense breasts  More sensitive less specific  Additional to mammography  Full field digital mammography  Lower overall sensitivity  Lower recall rate  ? Incremental cancers detected  CAD? Second film reader  MRI more sensitive less specific Irwig L et al: Br J Cancer 2004; 90:2118-22
  • 44. Beyond mammography-An internet advertisement  Breast MRI screening “is proven to be three times better at detecting early breast cancer than x-ray mammography.”  “Mammograms miss 2 out of 3 breast cancers.”  Breast MRI screening “is so accurate it can find nearly all breast cancer.”  Breast MRI screening provides “the absolute best early detection of breast cancer.”  “Superior precision…differentiates between benign breast changes and cancer.”  Because breast MRI screening “is much more accurate than regular x-ray mammography, women will not have to undergo as many unnecessary biopsies for benign changes of the breast.”  Breast MRI screening “is so powerful that no woman should suffer or die from this terrible disease.” Lee H Carol et al: J Am Coll of Radiology 2004; 1:176-82
  • 45. The Use of Magnetic Resonance Imaging in Breast Cancer Screening Carol H. Lee, MD, Jeffrey C. Weinreb, MD ““However, at present, the use ofHowever, at present, the use of MRI for routine screening forMRI for routine screening for breast cancer is not justified.”breast cancer is not justified.” J Am Coll Radiol March 2004;1:176-182. Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA
  • 46. Robson ME et al: JAMA 2004; 292:1368 Hereditary breast cancer-MRI vs other modalities of breast imaging Source No of BRCA pts Sensitivity% Specificity% PPV
  • 47. Wait a minute. Look at the lesions we are picking? Martin J Yaffe The Lancet Vol 364 September 25, 2004 We need to divide women into different groups and MRI may be the investigation for high risk women? Occult on mammography cancer picked up by MRI, enhancement due to angiogenesis from invasive ductal ca
  • 48. Colorectal cancer  Third commonest cancer and second leading cause of cancer death (USA)  Grows slowly over several years  Almost all develop in a polyp  All polyps do not become cancerous  Higher incidence of malignant transformation  Larger polyp (>10 mm)  Sessile polyps  Adenomatous vs hyperplastic Levin B et al: CA Cancer J Clin 2003;53:44-55
  • 49. Colorectal carcinoma ACS guidelines-Men & Women >50yrs Fecal occult blood annual or Flexible sigmoidoscopy 5 yrly Or both –preferred Double contrast barium enema 5 yrly Colonoscopy every 10 yrs Smith RA et al: CA Cancer J Clin 2004;54:41-52
  • 50. Status of colorectal screening?  Early stage disease in 37% only at diagnosis  Of the eligible population only 40% get screened  Why?  Uncomfortable procedures  Preparation for the procedure worse  Physicians do not advice???  Can it be improved? Levin B et al: CA Cancer J Clin 2003;53:44-55
  • 51. FOBT present status  Guaiac test most commonly used  False positive/negative results  Food items: meat, raw fruit, vegetables  Drugs: vitamin c, aspirin  Need to be repeated  Adenomas may bleed infrequently  Advantages  Privacy  Noninvasive  Home collection Levin B et al:CA Cancer J Clin 2003;53:44-55
  • 52. FOBT pilot study of screening for CRC UK Positive test result=1.9% Cancer detection rate 1.6/1000 screened 16.6% Polyp cancers 48% Dukes A
  • 53. UK Colorectal Cancer Screening Pilot Group:BMJ, (published 5 July 2004)
  • 54. FOBT Efficacy US UK Denmark No of participants 46551 150251 61933 Follow up years 18 7.8 13 Rel Risk Mortality ann 0.67 RR Mortality biennial 0.79 0.85 0.82 Risk Reduction for CRC death (biennial) 4.6 (2.9) 0.8 1.8 Walsh JM et al: JAMA 2003; 289:1288-96
  • 55. Use of new technologies for colorectal cancer screening?  Immunochemical Fecal Occult Blood Tests  Detection of altered human DNA in stool samples  CT colonography (virtual colonoscopy)  Capsule video endoscopy Reviewed by ACS Colorectal Advisory Group 2003
  • 56. Immunochemical FOBT  Monoclonal &/or polyclonal antibodies  Detect intact globulin protein portion of human Hb  Bind to hemoglobin in stools  positive test  No reaction with non human Hb or other substances containing peroxidase activity J Allison et al: N Engl J Med 1996;334:155-159
  • 57. InSureTM Test  Simple, quantifiable result  Tested in 240 high risk people  Two samples per person  Sensitivity  For cancer 87%  For adenomas 47.4% (>10mm)  Specificity (in normal population)  97.9%  Results confirmed by colonoscopy  Increased compliance?  No preparation needed Greenberg PD et al:Am J Gastrenterol 2000;95:1331-38
  • 58. DNA mutations in stool  Adenoma Carcinoma  Stool sample  Extract colorectal epithelium DNA  Amplify  Detect mutations if any  Noninvasive  No preparation required  Whole colon screened DNA Mutations Walsh JM et al: JAMA 2003; 289:1288-96
  • 59. APC gene mutations in CRC  APC gene mutations initiate CR neoplasm  Stool samples  46 neoplasia (28 CRC, 18 Adenoma) vs 28 controls  DNA purified  Amplification of the region between 1210 and 1581 codons  Mutations identified in  9/18 adenomas  17/28 CRC  0/28 controls Traverso G et al:N Engl J Med 2002; 346:311-20
  • 60. Digital Protein-Truncation Test Traverso G et al:N Engl J Med 2002; 346:311-20
  • 61. Total number of Mutations found 27 Deletions Insertions Base substitutions Spectrum of APC mutations in fecal DNA Traverso G et al:N Engl J Med 2002; 346:311-20
  • 63. What is this? Pickardt PJ et al: N Engl J Med 2003;349:2191-200
  • 64. CRC screening-CT colonography  Obstacles to the procedure  Bowel preparation  Air insufflation  Breath hold  Comparable to colonoscopy  Sensitivity  10 mm polyps ~90%  5 mm polyps ~50%  Frank cancers ~100% Walsh JM et al: JAMA 2003; 289:1288-96
  • 65. CT colonography vs Optical colonoscopy  Virtual colonoscopy findings kept blind from colonoscopist during initial procedure Size ≥6mm ≥7mm ≥8mm ≥9mm ≥10mm Virtual colonpy 180/120 85.7% 119/133 89.5% 88/95 92.6% 56/61 91.8% 47/51 92.2% Optical colonpy 189/210 90.0% 120/133 90.2% 85/95 89.5% 55/61 90.2% 45/51 88.2% Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
  • 66. Believe it or not? Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
  • 67. Virtual colonoscopy  Accurate method to detect colorectal neoplasia in asymptomatic individuals  May be less invasive than optical colonoscopy  Second procedure to deal with positive result  Excision  Biopsy  Cost effectiveness? Morrin MM et al:N Engl J Med 2003;349:2261-4
  • 68. Capsule video endoscopy  Camera in Capsule  2 picture/second  Images for up to 8 hours  Works in conjunction with  Given diagnostic system  Portable data recorder  Workstation producing video images  FDA approved since Aug 2001  Cannot picture colon yet Levin B et al: CA Cancer J Clin 2003;53:44-55
  • 69. Small bowel mass Small bowel lymphoma Hemagiosarcoma
  • 70. This Dream May Come True Soon

Editor's Notes

  1. If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
  2. From the Department of Health Studies, University of Chicago, 5841 S. Maryland Ave., MC 2007, Chicago, IL 60637-1470, where reprint requests should be addressed to Dr. Bailar. They noticed some decline in the mortality due to cancer especially in children and Afro Americans, however, 1994 onwards decline in Am whites was also noted mainly due to decline in smokin related cancer and inprovement in childhood cancer
  3. If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
  4. If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
  5. Table 1. Chances of the Development of and Death from Breast Cancer within the Next 10 Years.*
  6. BSE and CBE are not confirmed to improve cancer related mortality though some cancers are detected on CBE as well as BSE. These should be encouraged as a part of mammographic screening program.
  7. From cancer medicine page 428
  8. Published results of mammography trials; risk reduction of breast cancer related mortality
  9. The argument of olsen et al about the mammographic screening trials
  10. Swedish screening data reanalysed after olsen article.
  11. Figure 1. Chances of False Positive Mammograms, Need for Biopsies, and Development of Breast Cancer among 1000 Women Who Undergo Annual Mammography for 10 Years. All numbers are rounded. The numbers for 10-year rates of false positive mammograms and breast biopsies come from a single study in which, overall, the rate of false positive mammograms was 6.5 percent, 27 and the rate may be different in other settings. Data on the development of breast cancer are broken down further in Figure 2.
  12. Dept of medical imaging and medical biophysics Univ of Toronto Ontario Canada
  13. These antibodies react with the globulin protion which does not survive passage through the Upper GI hence selective for lower GI bleeding.
  14. Another trial conducted looked at the individuals made to drink autologous blood, the test was negative
  15. Genomic alterations drive adenomas to carcinoma. These have been identified and well characterized.
  16. Figure 1. The Digital-Protein-Truncation Test. Digital protein truncation relies on the amplification of a small number of APC gene templates in each polymerase chain reaction (PCR), and the detection of truncated polypeptides generated by in vitro transcription and translation of the PCR products. The term “digital” is used to indicate that each well either contains or does not contain APC gene templates and that each protein-truncation test is therefore positive (1) or negative (0). The lines within each large circle represent single-stranded APC templates present in a population of DNA, with black and red lines indicating wild-type (normal) and mutant APC gene copies, respectively. In circle A, the mutant APC genes represent a large fraction of the total APC genes, as would be found in a tumor or in the blood cells of a patient with familial adenomatous polyposis. Analysis of the entire population of molecules with the use of PCR and in vitro transcription and translation readily reveals the mutant product, which is equivalent in intensity to the normal APC product (as shown in lane A of the schematic gel on the right). In circle B, the mutant APC genes represent only a small fraction of the total APC genes, as would be found in the feces of a patient with colorectal cancer. Analysis of the entire population of molecules with the use of PCR and in vitro transcription and translation does not reveal the mutant product, because it is present in too small a proportion of the molecules to create a detectable signal in the assay (as shown in lane B of the gel on the right). To reduce the complexity and thereby increase the ratio of mutant genes to normal genes, we sampled two to four molecules in each well, as indicated by the circles labeled C through G within circle B. Lanes D, F, and G represent wells with no mutant products; lane C represents a well in which one of the two APC templates was mutant; and lane E represents a well in which one of the four APC templates was mutant. The number of copies of the APC gene per well varies stochastically according to a Poisson distribution. Tumor Feces B F G E D C A Wild type Mutant A B C D E F G Wild type Mutant PCR and in vitro transcription and translation of PCR products Downloaded from www.nejm.org at AL KHAZINDAR CO LTD TOTAL TRANSPORT on October 04, 2004. Copyright © 2002 Massachusetts Medical Society. All rights reserved.
  17. Figure 4. Spectrum of APC Mutations Identified between Codons 1210 and 1581 in Fecal DNA. Twenty-seven different mutations were identified among the 26 patients with positive digital-protein-truncation tests. Mutations occurred in the form of deletions (red triangles), insertions (green squares), and base substitutions (yellow circles). The numbers within each symbol refer to the patient numbers shown in Table 1.
  18. Schematic map of colon generated by CT a scout image and the red dot indicates the site of the polyp in caecum, a three dimensional view of the polyp.