ﺑﺎﺯﮔﺸﺖ ﺑﻪ ﺻﻔﺤﻪ ﻗﺒﻠﯽ
خرید پکیج
تعداد آیتم قابل مشاهده باقیمانده : 3 مورد
نسخه الکترونیک
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Calculator: Breast cancer risk assessment incorporating breast density (BCSC 2015)


 Calculator: Breast cancer risk assessment incorporating breast density (BCSC 2015)

 
Input
 
Age  
Race/ethnicity (RE)  
First-degree relatives with breast cancer (Rels) None (0)

 1 or more (1)

 Unknown (-1)
Previous biopsies / results (Biopsy) No biopsies (2)

 Biopsies with unknown diagnosis (3)

 Non-proliferative lesions (4)

 Proliferative changes, no atypia (5)

 Proliferative changes and atypia (6)

 Lobular carcinoma in situ (LCIS) (7)
Breast density (Den) Almost entirely fatty (1)

 Scattered fibroglandular densities (2)

 Heterogeneously dense (3)

 Extremely dense (4)

 
Results
 
Important: Inputs must be complete to perform calculation.

 
 
Patient 5-year risk of breast cancer  
Patient 10-year risk of breast cancer  

 
Average 5-year risk of breast cancer  
Average 10-year risk of breast cancer  
 
Decimal precision  

 
 

 

 
Notes
  • This calculator is not appropriate for use in females with any of the following: a personal history of breast cancer (including ductal carcinoma in situ [DCIS]), breast augmentation, or mastectomy.
  • First-degree relatives comprise female birth parent, female siblings, and female offspring.
  • The Native American group includes Native Alaskans. The Asian group includes Native Hawaiians and Pacific Islanders.
  • For females of mixed/other/unknown race/ethnicity, calculation is done with data for non-Hispanic White women.
  • BCSC: Breast Cancer Surveillance Consortium.

 
Calculation details and variables
  • The 5- and 10-year average breast cancer risks are read directly from tables 2 and 3 below.
  • Density, Rels, and Biopsy adjustment factors are based on risk combination (RC) index numbers. These RC numbers are used to look up the adjustment factors in the DensityAdj, RelsAdj, and BiopsyAdj columns of table 4 below:
    • RRE (Recoded RE) = RE except for Native Americans for which RRE = 5, and Hispanics for which RRE = 8.
    • RC_DensityAdj = (1000 * RRE) + (10 * Age) + Den
      DensityAdj = DensityAdj column[RC_DensityAdj]
      If not in table, DensityAdj = 1
    • RC_RelsAdj = (1000 * RRE) + (10 * Age) + Rels
      RelsAdj = RelsAdj column[RC_RelsAdj]
      If not in table, RelsAdj = 1
    • RC_BiopsyAdj = (1000 * RRE) + (10 * Age) + Biopsy
      BiopsyAdj = BiopsyAdj column[RC_BiopsyAdj]
      If not in table, BiopsyAdj = 1
  • Absolute risk is calculated by looping through the next steps with index "i" spanning 1 to 10. This creates an array "inc" containing the individual risk per year in inc[1] to inc[10]. The "C1" to "C14" variables are read from table 1 below. The variable "notatrisk" starts at 0, and the variable "atrisk" starts at 1:
    • MAge = Age + i - 1
    • inc[i] = DensityAdj * RelsAdj * BiopsyAdj * ((MAge3 * C1[RE]) + (MAge2 * C2[RE]) - (MAge * C3[RE]) + C4[RE])
    • while i >1 do the following 4 steps for each i:
    • MAge = MAge - 1
    • notatrisk = notatrisk + atrisk * (C5[RE] * e(C6[RE] * MAge)) / 100 + atrisk * DensityAdj * RelsAdj * BiopsyAdj * ((MAge3 * C7[RE]) + (MAge2 * C8[RE]) - (MAge * C9[RE]) + C10[RE]) / 100 + atrisk * DensityAdj * RelsAdj * BiopsyAdj * ((MAge3 * C11[RE]) + (MAge2 * C12[RE]) - (MAge * C13[RE]) + C14[RE]) / 100
    • atrisk = 1 - notatrisk;
    • inc[i] = inc[i] * atrisk
  • Finally, the 5- and 10-year risks are calculated by simply summing inc[1-5] and inc[1-10] respectively.

 
Table 1: Equation "C" coefficients (example: coefficient C8 with RE = 2 (Black) use C8[2] = 0.000403385)
 
CWhiteBlackAsianNativeAmerHispanic
C1-0.000007162-0.000004332-0.000003002-0.000005880-0.000004211
C20.0011111360.0006444750.0003727510.0008612870.000628530
C30.0435289990.0212432090.0071820550.0325303110.022484578
C40.5147800210.195808387-0.0256288460.3734935360.234323344
C50.0047412390.0089769030.0013240860.0164918430.002253560
C60.0824733610.0775405500.0911670440.0675396600.088334802
C7-0.000002094-0.000002706-0.0000014960.000000191-0.000001403
C80.0002840860.0004033850.000185804-0.0000496650.000195157
C90.0092927180.0165489630.004747568-0.0047305280.006832187
C100.0806591880.2076865380.016457265-0.1025204060.067237073
C11-0.000007162-0.000004332-0.000003002-0.000005880-0.000004211
C120.0011111360.0006444750.0003727510.0008612870.000628530
C130.0435289990.0212432090.0071820550.0325303110.022484578
C140.5147800210.195808387-0.0256288460.3734935360.234323344

 
Table 2: Average 5-year breast cancer risk (%) by age, race, and ethnicity
 
AgeWhiteBlackAsianNativeAmerHispanic
350.31484845230.36317262970.33391358880.25631906650.2487640896
360.36225101420.40671851630.37415902250.29210436260.2829207566
370.41253560740.451708120.41468194370.32974689050.3185332961
380.4654803320.49800578960.45539127570.36906572450.355472613
390.52086317740.54547570790.49619599950.40987990110.3936095726
400.57846204660.59398189120.53700514640.45200843590.4328150016
410.63805477540.64338817960.57772778990.49527033760.4729596863
420.69941914470.69355822750.61827303480.53948462270.5139143681
430.76233288680.74435549040.65855000670.58447032870.5555497371
440.82657368660.79564320790.69846783850.6300465280.5977364216
450.89191917660.8472843860.73793565740.67603234130.6403449772
460.95814692690.89914177560.7768625690.72224695260.6832458716
471.02503443060.951077850.81515764240.7685096250.7263094687
481.09235908481.00295478040.85272989280.8146397190.7694060097
491.15989816771.05463441040.88948826460.86045671290.8124055925
501.22742881311.10597823070.92534161390.90578022720.8551781507
511.29472798241.1568473530.96019869060.95043005310.8975934301
521.36157243551.20710248570.99396812160.99422618660.9395209653
531.42773870231.25660391151.0265583941.03698886870.9808300564
541.49300305471.30521146781.05787784051.07853863351.0213897459
551.55714148321.35278453141.08783462561.11869636531.061068797
561.61992967681.39918200941.11633673581.15728336631.0997356748
571.68114301191.44426233721.14329197221.19412143611.1372585303
581.74055655011.48788348551.16860794851.22903296641.1735051897
591.79794504911.52990297981.19219209391.26184105011.2083431498
601.85308299021.57017793281.21395166451.29236961031.2416395817
611.9057446261.60856509451.23379376161.32044354951.2732613449
621.95570405251.64492092161.25162536221.3458889221.3030750142
632.00273531241.67910167091.26735336141.36853313341.3309469217
642.04661253251.71096351991.28088463031.38820516981.3567432183
652.08711010511.74036272021.29212609161.40473585981.3803299578
662.12400291841.76715578731.30098481731.41795817391.4015732077
672.15706664571.7911997331.30736815031.42770756511.4203391917
682.18607810251.81235234741.31118385631.43382235511.4364944705
692.21081568111.83047253611.3123403091.4361441711.4499061652
702.23105987651.84542071991.31074671561.43451843691.4604422332
712.24659391431.85705930651.3063133871.42879492791.4679718015
722.2572044961.86525324161.29895206121.41882838851.4723655693
732.26268267731.86987064931.28857628671.40447922581.4734962879
742.26282489571.87078357151.27510187531.38561428021.4712393301

 
Table 3: Average 10-year breast cancer risk (%) by age, race, and ethnicity
 
AgeWhiteBlackAsianNativeAmerHispanic
350.88800996940.94997651330.86756216310.70231832270.6789848455
360.99378202481.04157085610.94785402050.78022410280.7527102835
371.10401247681.13519329691.02817443820.86079139320.8286164944
381.21824091841.23055840571.1083397930.94364858760.9064386875
391.33600689911.32738018841.18816668041.0284242630.9859119724
401.45684999381.42537206171.26747187271.11474725831.0667713451
411.58030984731.52424681741.34607227181.20224675171.1487516637
421.70592619781.62371657911.42378485761.29055234071.2315876147
431.83323887841.7234927511.5004266321.37929412481.3150136693
441.96178780041.8232859631.57581455971.46810279541.3987640328
452.09111292091.92280601121.64976550611.55660973341.4825725847
462.22075419662.02176179951.72209617321.64444711961.5661728148
472.35025152832.11986128311.7926230361.73124805891.6492977534
482.47914469992.21681141821.86116227781.81664672431.7316798992
492.60697331682.31231812151.92752972991.90027852261.8130511469
502.7332767492.40608624511.99154081461.98178028811.8931427165
512.8575940862.49781957022.05301049512.06079050741.9716850885
522.97946411082.58722082762.11175323492.13694958222.0484079481
533.09842530142.67399175012.16758297012.20990013482.1230401419
543.21401587042.75783316572.22031309772.27928736372.1953096546
553.32577385392.83844513982.26975648492.34475945492.264943609
563.43323726172.91552717492.31572550442.40596805782.3316682985
573.53594430552.98877848182.35803210092.46256883232.3952092576
583.63343371993.05789832962.39648789622.5142220772.4552913828
593.72524519533.12258649262.43090434072.56059344662.5116391112
603.81091994383.18254380422.46109291912.60135476882.5639766714
613.89000142163.23747283722.48686542182.636184972.612028418
623.96203623153.28707872412.50803429182.66477112112.6555192673
634.0265752363.33107013852.52441306182.68680961432.69417525
644.08317490953.36916045412.53581689352.70200748062.7277241997
654.13139896283.40106910352.54206323732.71008386032.7558966001
664.17082027513.42652315592.54297262872.71077163652.7784266124
674.201023173.44525913382.53836964192.70381924172.7950533091
684.22160607323.45702509092.52808402132.68899264772.8055221412
694.232184593.46158296752.51195201352.66607754512.8095866669
704.23239504163.45871124232.48981792572.63488172062.8070105735
714.22189849483.44820789312.46153593452.59523763492.7975700206
724.20038531853.42989367512.42697217292.54700520212.7810563379
734.16758029273.40361572092.38600712192.49007476812.757279104
744.1232482873.36925145522.33853833212.42437027922.7260696348

 
Table 4: Adjustment coefficients indexed by risk combinations (RC)
 
RCDensityAdjRelsAdjBiopsyAdj
1350 0.888455132 
13510.2932432321.877678866 
13520.638225973 0.958513332
13531.069891381 1.503796924
13541.315658276 1.203092942
1355  1.704314867
1356  3.169157224
1357  13.75549241
1360 0.890755574 
13610.3009197251.836922438 
13620.647930563 0.955321033
13631.078464484 1.48373323
13641.324265884 1.209071808
1365  1.681758151
1366  3.135232596
1367  11.94236503
1370 0.893020949 
13710.3087810331.798472081 
13720.657748339 0.952163262
13731.087049468 1.464853202
13741.332860142 1.215140775
1375  1.660871782
1376  3.101840157
1377  10.43756413
1380 0.895244918 
13810.3168166871.762207445 
13820.667649497 0.948786335
13831.095595501 1.446731894
13841.341378816 1.220974788
1385  1.641162359
1386  3.068151142
1387  9.180928527
1390 0.897421429 
13910.3250225321.728017147 
13920.677618544 0.945409866
13931.104076491 1.429675471
13941.349790278 1.226852044
1395  1.622966869
1396  3.034880273
1397  8.129287448
1400 0.899551969 
14010.3333979791.695811772 
14020.687647882 0.941947686
14031.112479857 1.413521995
14041.358079581 1.232660028
1405  1.606092899
1406  3.001747019
1407  7.245310696
1410 0.90162804 
14110.3419370491.665489516 
14120.697719147 0.938416538
14131.120776081 1.398268719
14141.366211218 1.238418227
1415  1.590529917
1416  2.968804486
1417  6.499912023
1420 0.903646847 
14210.3506336611.636966035 
14220.707814446 0.934833202
14231.128937245 1.383913895
14241.374151842 1.244146858
1425  1.576269912
1426  2.936104318
1427  5.869637285
1430 0.905604267 
14310.3594814241.610160462 
14320.717915952 0.931206859
14331.136936342 1.370445629
14341.381869407 1.249856649
1435  1.563294672
1436  2.903672931
1437  5.335465653
1440 0.907496105 
14410.3684733511.584997444 
14420.728005346 0.927546273
14431.144746383 1.357852768
14441.389332079 1.255558137
1445  1.551588127
1446  2.87153464
1447  4.881963057
1450 0.909318109 
14510.3776019071.561406799 
14520.738063959 0.923859667
14531.152340633 1.346124746
14541.396508519 1.261261494
1455  1.541136153
1456  2.839711339
1457  4.496570098
1460 0.911065975 
14610.3868590651.539323195 
14620.748072915 0.920154623
14631.159692837 1.335251476
14641.403368158 1.266976363
1465  1.531926426
1466  2.808222288
1467  4.169042718
1470 0.912735358 
14710.3962363661.518685867 
14720.758013289 0.916438016
14731.166777457 1.325223276
14741.409881472 1.272711744
1475  1.523948334
1476  2.777083997
1477  3.891011522
1480 0.914321881 
14810.405724991.49943834 
14820.76786625 0.912715981
14831.173569883 1.316030844
14841.416020235 1.278475906
1485  1.517192929
1486  2.746310214
1487  3.655633748
1490 0.915821147 
14910.4153158231.481528184 
14920.777613216 0.908993905
14931.180046648 1.307665269
14941.421757767 1.284276352
1495  1.511652933
1496  2.715912004
1497  3.457317882
1500 0.917228747 
15010.4249995361.464906787 
15020.787236001 0.905276456
15031.186185622 1.300118084
15041.427069155 1.290119815
1505  1.507322795
1506  2.685897923
1507  3.291505616
1510 0.918540275 
15110.4347666621.44952914 
15120.796716956 0.901567638
15131.191966184 1.293381348
15141.431931453 1.296012301
1515  1.504198787
1516  2.656274267
1517  3.15449932
1520 0.919751333 
15210.4446076691.435353649 
15220.806039099 0.897870873
15231.197369386 1.287447768
15241.436323857 1.301959171
1525  1.502279144
1526  2.627045379
1527  3.043325964
1530 0.920857547 
15310.4545130421.422341949 
15320.815186246 0.894189098
15331.202378082 1.282310839
15341.44022785 1.30796526
1535  1.501564243
1536  2.598214019
1537  2.955630494
1540 0.921854575 
15410.4644733571.410458748 
15420.824143115 0.890524893
15431.206977039 1.27796501
15441.443627321 1.314035028
1545  1.502056812
1546  2.56978176
1547  2.889593334
1550 0.922738122 
15510.4744793521.399671675 
15520.832895432 0.886880604
15531.21115303 1.274405873
15541.446508647 1.320172736
1555  1.50376218
1556  2.541749411
1557  2.843867974
1560 0.923503947 
15610.4845220011.389951138 
15620.841430013 0.883258494
15631.214894888 1.271630359
15641.448860755 1.326382649
1565  1.506688542
1566  2.514117441
1567  2.817535662
1570 0.924147874 
15710.4945925771.381270209 
15720.849734838 0.879660881
15731.218193553 1.269636948
15741.450675147 1.332669258
1575  1.510847259
1576  2.486886415
1577  2.810075053
1580 0.924665809 
15810.504682711.373604498 
15820.857799111 0.876090292
15831.221042078 1.268425896
15841.4519459 1.33903751
1585  1.516253182
1586  2.460057392
1587  2.821345446
1590 0.925053744 
15910.514784451.366932062 
15920.865613296 0.872549602
15931.223435628 1.267999451
15941.452669633 1.345493047
1595  1.522924993
1596  2.43363232
1597  2.851582842
1600 0.925307772 
16010.5248903061.361233304 
16020.873169155 0.869042174
16031.225371448 1.268362092
16041.452845461 1.352042453
1605  1.530885578
1606  2.407614388
1607  2.901408698
1610 0.925424098 
16110.5349932981.35649089 
16120.880459754 0.865571992
16131.226848811 1.269520756
16141.452474916 1.358693494
1615  1.54016241
1616  2.38200834
1617  2.971851835
1620 0.925399046 
16210.5450869891.352689681 
16220.887479475 0.862143774
16231.227868961 1.271485077
16241.451561851 1.365455359
1625  1.55078797
1626  2.356820746
1627  3.06438461
1630 0.925229073 
16310.5551655181.349816658 
16320.894223997 0.858763082
16331.228435023 1.274267621
16341.450112327 1.372338884
1635  1.562800179
1636  2.332060237
1637  3.180975143
1640 0.924910777 
16410.5652236251.347860872 
16420.900690282 0.855436411
16431.228551914 1.277884123
16441.448134491 1.37935677
1645  1.576242865
1646  2.307737671
1647  3.324158241
1650 0.924440907 
16510.5752566691.346813391 
16520.906876541 0.852171262
16531.228226235 1.282353728
16541.445638429 1.386523783
1655  1.591166252
1656  2.28386627
1657  3.497128627
1660 0.923816372 
16610.5852606431.346667257 
16620.912782195 0.848976205
16631.227466161 1.287699226
16641.442636025 1.393856938
1665  1.607627484
1666  2.26046169
1667  3.703861337
1670 0.92303425 
16710.5952321811.347417452 
16720.918407828 0.845860913
16731.226281317 1.293947291
16741.439140802 1.401375651
1675  1.625691172
1676  2.237542045
1677  3.949265697
1680 0.922091796 
16810.605168561.349060874 
16820.923755135 0.842836186
16831.224682654 1.301128725
16841.435167766 1.409101881
1685  1.645429982
1686  2.215127884
1687  4.239381294
1690 0.920986449 
16910.6150677051.351596308 
16920.928826862 0.839913947
16931.222682324 1.309278684
16941.430733245 1.417060227
1695  1.666925252
1696  2.193242106
1697  4.581626944
1700 0.919715843 
17010.6249281751.355024422 
17020.933626741 0.837107224
17031.22029355 1.318436926
17041.42585473 1.425278008
1705  1.690267648
1706  2.171909833
1707  4.985117072
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8616  2.460185075
8617  3.069387041
8620 0.940883617 
86210.5757923911.375324046 
86220.937472256 0.891906054
86231.29703629 1.315378329
86241.533330067 1.412592582
8625  1.604323106
8626  2.43818114
8627  3.170170992
8630 0.940641815 
86310.5865773261.372302307 
86320.944820066 0.889917888
86331.29794108 1.32049639
86341.532161103 1.42212555
8635  1.619496533
8636  2.416664343
8637  3.296376776
8640 0.940280852 
86410.5973057511.37025949 
86420.951813516 0.888023576
86431.298284594 1.326564097
86441.530330691 1.431902262
8645  1.636288575
8646  2.395649091
8647  3.45078939
8650 0.939797487 
86510.6079691541.369186316 
86520.958446886 0.886232114
86531.298070418 1.333608755
86541.527845951 1.441942434
8655  1.654764359
8656  2.375151244
8657  3.636907081
8660 0.93918858 
86610.6185598271.369075658 
86620.964716152 0.884553168
86631.297304482 1.341661195
86641.524716722 1.452267523
8665  1.674996279
8666  2.355187975
8667  3.859074331
8670 0.938451098 
86710.629070891.3699225 
86720.970618943 0.88299702
86731.295994915 1.35075588
86741.520955376 1.462900702
8675  1.69706442
8676  2.33577758
8677  4.122651592
8680 0.937582125 
86810.6394963151.371723907 
86820.976154486 0.881574485
86831.294151903 1.36093099
86841.516576633 1.473866791
8685  1.721056966
8686  2.31693923
8687  4.434231045
8690 0.936578869 
86910.6498309291.374479008 
86920.981323548 0.880296812
86931.291787529 1.372228496
86941.511597352 1.48519215
8695  1.747070627
8696  2.298692672
8697  4.801910491
8700 0.935438666 
87010.6600704221.378188977 
87020.98612836 0.879175552
87031.288915606 1.384694194
87041.506036325 1.496904511
8705  1.775211049
8706  2.281057877
8707  5.235641181
8710 0.934158991 
87110.6702113411.38285703 
87120.990572537 0.878222413
87131.285551511 1.398377729
87141.499914067 1.509032776
8715  1.805593235
8716  2.264054653
8717  5.747670257
8720 0.932737462 
87210.6802510831.388488424 
87220.994660994 0.877449086
87231.281712007 1.413332587
87241.493252594 1.521606756
8725  1.838341953
8726  2.247702206
8727  6.353104891
8730 0.931171843 
87310.6901878771.395090462 
87320.998399849 0.876867058
87331.27741508 1.429616054
87341.486075225 1.534656864
8735  1.873592132
8736  2.232018682
8737  7.070633744
8740 0.929460058 
87410.700020771.402672514 
87421.001796338 0.876487405
87431.272679762 1.447289151
87441.478406364 1.548213763

 
Equation parameters, such as First-degree relatives with breast cancer (Rels), have 2 or more discrete values that may be used in the calculation. The numbers in the parentheses, eg, (0), represent the values that will be used.
 

 
Only digits 0 to 9 and a single decimal point (".") are acceptable as numeric inputs. Attempted input of other characters into a numeric field may lead to an incorrect result.

Information on this page may not appear correctly if printed.

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Topic 141331 Version 1.0

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