# Risk prediction of sentinel node metastasis in clinically node negative breast cancer patients function radioValue(form, radioName) { var radios = document.getElementsByName(radioName); for (var i = 0, length = radios.length; i < length; i++) { if (radios[i].form == form && radios[i].checked) { return parseFloat(radios[i].value); } } } function setRadio(radios, value) { for (var i = 0; i < radios.length; i++) { radios[i].checked = radios[i].value == value; } } function calculateResult1(form) { var A2 = parseFloat(form.A2.value); var value = ((Math.exp(-2.34835 + 0.32926 * A2)) / (1 + Math.exp(-2.34835 + 0.32926 * A2)) * 100); if (!isNaN(value)) { form.res.value = value.toFixed(1) + " %"; } else { form.res.value = ""; } } function calculateResult2(form) { var A1 = radioValue(form, "A1"); var A2 = parseFloat(form.A2.value); var A3 = radioValue(form, "A3"); var value = ((Math.exp(-2.82667 + 0.61823 * A1 + 0.29906 * A2 + 0.78301 * A3)) / (1 + Math.exp(-2.82667 + 0.61823 * A1 + 0.29906 * A2 + 0.78301 * A3)) * 100); if (!isNaN(value)) { form.res.value = value.toFixed(1) + " %"; } else { form.res.value = ""; } } function calculateResult3(form) { var A1 = radioValue(form, "A1"); var A2 = parseFloat(form.A2.value); var A3 = radioValue(form, "A3"); var A4 = parseFloat(form.A4.value); var value = ((Math.exp(-3.08995 + 0.60387 * A1 + 0.26294 * A2 + 0.68992 * A3 + 0.10479 * A4)) / (1 + Math.exp(-3.08995 + 0.60387 * A1 + 0.26294 * A2 + 0.68992 * A3 + 0.10479 * A4)) * 100); if (!isNaN(value)) { form.res.value = value.toFixed(1) + " %"; } else { form.res.value = ""; } } function calculateResult4(form) { var A1 = radioValue(form, "A1"); var A2 = parseFloat(form.A2.value); var A3 = radioValue(form, "A3"); var A4 = radioValue(form, "A4"); var value = ((Math.exp(-2.26 + 0.564 * A3 + 1.404 * A1 + 0.595 * A4 + 0.036 * A2)) / (1 + Math.exp(-2.26 + 0.564 * A3 + 1.404 * A1 + 0.595 * A4 + 0.036 * A2)) * 100); if (!isNaN(value)) { form.res.value = value.toFixed(1) + " %"; } else { form.res.value = ""; } } function calculateResults() { // calculateResult1(form1); // calculateResult2(form2); // calculateResult3(form3); calculateResult4(form4); } function transfer(field1, field2, field3, field4) { field1.transferCalled = true; for (var i = 1; i < arguments.length; i++) { if (arguments[i].transferCalled) { break; } if (Object.prototype.toString.call( arguments[0] ) === "[object NodeList]") { if (arguments[0][0].checked) var value = arguments[0][0].value; else var value = arguments[0][1].value; setRadio(arguments[i], value); } else { arguments[i].value = arguments[0].value; } } calculateResults(); } ## Risk prediction of sentinel node metastasis in clinically node negative breast cancer patients #### Histological Size of the Primary Tumor Insert here the largest histological size of the primary invasive breast cancer in millimeters. Histological Size of the Primary Tumor mm #### Lymphovascular Invasion in the Primary Tumor Choose between "yes" or "no" to indicate whether there is lymphovascular invasion in the primary tumor. Lymphovascular Invasion in the Primary Tumor No Yes #### Multifocal Primary Tumor Choose between "yes" or "no" to indicate whether the primary tumor is multifocal or not. Multifocal Primary Tumor No Yes #### Palpability of the Primary Tumor Choose between "yes" or "no" to indicate whether the primary tumor is palpable or not. Palpability of the Primary Tumor No Yes #### Probability of Axillary Metastases The result indicates the risk prediction of axillary lymph node metastases in clinically node negative breast cancer patients. Probability of Axillary Metastases - [ Original article (Avautuu uuteen ikkunaan. Linkki vie toiselle verkkosivulle.) ](https://pubmed.ncbi.nlm.nih.gov/24664623/) ## Excel-based nomogram [ risk-prediction-of-sentinel-node-metastasis.xls(xls 34 KB)  (Avautuu uuteen ikkunaan. Linkki vie toiselle verkkosivulle.) ](https://www.hus.fi/sites/default/files/2021-01/risk-prediction-of-sentinel-node-metastasis.xls) Päivitetty: 06.05.2024 Tulosta tämä sivu