How is Breast cancer diagnosed?

['Henoy ity pejy ity']

Ahoana no hamantarana ny kanseran'ny nono?

Misy karazana fitiliana sy fomba fitsaboana maromaro atao mba hamantarana ny kanseran'ny nono, ka anisan'izany ireto:

1. Fandinihana ny nono: Hamarinin'ny dokotera ny nono raha misy vongan-taolana, na misy fiovana eo amin'ny habeny na ny endriny, na misy zavatra hafa tsy mahazatra.

2. Fandinihana ny nono: Fandinihana ny nono amin'ny alalan'ny taratra X, izay ahafantarana ny tsy fetezana eo amin'ny nono, na dia mbola tsy tsapa aza.

3. Fandinihana amin'ny alalan'ny ultrasound: Fandinihana mampiasa onjam-peo mba hahazoana sary ny taovan'ny nono.

4. MRI: Mampiasa hery manetsika sy onjam-peo ny MRI mba hahazoana sary amin'ny antsipiriany momba ny taovan'ny nono.

5. Fandinihana ny taova: Alaina ny santionan'ny taovan'ny nono, ary jerena amin'ny mikraoskaopy mba hahitana raha misy sela misy kansera.

6. Fitiliana ra: Misy fitiliana ra atao, toy ny fitiliana ny isan'ny sela ao amin'ny ra na ny marika famantarana ny fivontosana, mba hamantarana ny dingana misy ilay kansera na mba hanaraha-maso ny fitsaboana.

7. Fitsirihana ny fototarazo: Raha misy olona voan'ny kanseran'ny nono ao amin'ny fianakaviana, dia azo atao ny fitsirihana ny fototarazo mba hahitana raha misy fiovan'ny fototarazo nolovana, izay mampitombo ny mety ho voan'ny kanseran'ny nono.

8. Fandinihana ny taolana, CT scan, na PET scan: Mety hatao ireo fitiliana ireo mba hahitana raha efa niely tany amin'ny faritra hafa amin'ny vatana ilay kansera.

Rehefa fantatra ny kanseran'ny nono, dia mety hisy fitiliana hafa hatao mba hamantarana ny dingana sy ny haavon'ilay kansera.

['Fanamarihana']

PubMed/Medline https://www.nlm.nih.gov/databases/download/pubmed_medline.html

RefinedWeb https://arxiv.org/abs/2306.01116

Zahoor S, Lali IU, Khan MA, Javed K, Mehmood W: Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review. Curr Med Imaging. 2020, 16 (10): 1187-1200.

Dewar MA, Love N: Legal issues in managing breast disease. Postgrad Med. 1992, 92 (5): 137-40, 143-4, 149-51 passim.

Donepudi MS, Kondapalli K, Amos SJ, Venkanteshan P: Breast cancer statistics and markers. J Cancer Res Ther. , 10 (3): 506-11.

Sazuka T, Miyazawa Y, Tochigi T, Hirano A, Mori M, Kosugi C, Shuto K, Kasahara K, Hiroshima Y, Matsuo K, Tanaka K, Yamazaki K, Koda K, Matsubara H: [A Case of Rectal Metastasis from Breast Cancer Diagnosed Two Years after Surgery]. Gan To Kagaku Ryoho. 2017, 44 (12): 1254-1256.

Yan J, Liu Z, Du S, Li J, Ma L, Li L: Diagnosis and Treatment of Breast Cancer in the Precision Medicine Era. Methods Mol Biol. 2020, 2204 (): 53-61.

Cong J, Wei B, He Y, Yin Y, Zheng Y: A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis. Comput Math Methods Med. 2017, 2017 (): 4896386.

Cui R, Wang C, Zhao Q, Wang Y, Li Y: Serum Carboxypeptidase N1 Serves as a Potential Biomarker Complementing CA15-3 for Breast Cancer. Anticancer Agents Med Chem. 2020, 20 (17): 2053-2065.

['Fialana andraikitra: fitsaboana']

['Natao hampianarana sy hampahafantarana fotsiny ity tranonkala ity, fa tsy natao hanomezana torohevitra ara-pitsaboana na tolotra matihanina.']

['Tsy tokony hampiasaina mba hamantarana na hitsaboana olana ara-pahasalamana na aretina ny fanazavana omena, ary tokony hanatona dokotera manana fahazoan-dalana hitsabo tena ireo mitady torohevitra ara-pitsaboana.']

["Mariho tsara fa ny tambajotra neural izay mamorona ny valin'ny fanontaniana, dia tsy marina indrindra raha resaka isa no resahina. Ohatra, ny isan'ny olona voamarina fa voan'ny aretina manokana."]

["Mitadiava torohevitra avy amin'ny dokotera na mpitsabo hafa mahay momba ny toe-pahasalamanao. Aza atao tsinontsinona mihitsy ny torohevitra ara-pitsaboana matihanina na manemotra ny fikatsahana azy noho ny zavatra novakianao tao amin'ity tranonkala ity. Raha mieritreritra ianao fa mety manana vonjy taitra ara-pitsaboana, antsoy ny 911 na mandehana any amin'ny efitrano fitsaboana maika akaiky indrindra avy hatrany. Tsy misy fifandraisana mpitsabo-marary noforonin'ity tranonkala ity na ny fampiasana azy. Na ny BioMedLib na ny mpiasa ao aminy, na ny mpandray anjara amin'ity tranonkala ity, dia tsy manao fanambarana, mazava na tsy mazava, momba ny fampahalalana omena eto na ny fampiasana azy."]

["Fanamarihana: zon'ny mpamorona"]

["Ny Digital Millennium Copyright Act of 1998, 17 U.S.C. § 512 (ny DMCA) dia manome vahaolana ho an'ireo tompon'ny zon'ny mpamorona izay mino fa manitsakitsaka ny zony araka ny lalàna momba ny zon'ny mpamorona ao Etazonia ny fitaovana hita ao amin'ny Internet. "]

["Raha mino ianao fa misy votoaty na fitaovana azo ampiasaina amin'ny tranonkalanay na ny tolotra ataonay manitsakitsaka ny zon'ny mpamorona anao, dia afaka mandefa filazana aminay ianao (na ny mpandraharaha anao) mangataka ny hanesorana ny votoaty na ny fitaovana, na ny fanakanana ny fidirana amin'izany. "]

['Tsy maintsy alefa an-tsoratra amin\'ny alalan\'ny mailaka ny filazana (jereo ny fizarana "Contact" raha mila adiresy mailaka). ']

["Ny DMCA dia mitaky ny fampandrenesanao ny voalaza ho fanitsakitsahana ny zon'ny mpamorona ahitana ireto fampahalalana manaraka ireto: (1) famaritana ny asa voaaro zon'ny mpamorona izay voalaza fa voahitsakitsaka; (2) famaritana ny votoaty voalaza fa manitsakitsaka sy fampahalalana ampy ahafahantsika mahita ny votoatiny; (3) fampahalalana momba anao, anisan'izany ny adiresinao, nomeraon-telefaona ary adiresy mailaka; (4) fanambarana avy aminao fa mino tsara ianao fa ny votoaty amin'ny fomba nitarainana dia tsy nomen'ny tompon'ny zon'ny mpamorona alalana, na ny mpandraharahany, na amin'ny asan'ny lalàna rehetra; "]

["(5) fanambarana nosoniavinao, eo ambany sazin'ny fianianana diso, fa marina ny vaovao ao amin'ny fampahafantarana ary manana fahefana hampihatra ny zon'ny mpamorona izay voalaza fa voahitsakitsaka ianao; "]

["ary (6) sonia ara-batana na elektronika avy amin'ny tompon'ny zon'ny mpamorona na olona nahazo alalana hiasa amin'ny anaran'ny tompon'ny zon'ny mpamorona. "]

["Mety hiteraka fahatarana amin'ny fikarakarana ny fitarainanao ny tsy fampidirana ireo vaovao rehetra voalaza etsy ambony."]

['Fifandraisana']

['Alefaso mailaka izahay raha misy fanontaniana / sosokevitra.']

How is breast cancer diagnosed?

Breast cancer is diagnosed through a combination of tests and procedures, which may include:

1. Clinical breast exam: A healthcare professional will examine the breasts for any lumps, changes in size or shape, or other abnormalities.

2. Mammogram: An x-ray of the breast that can detect abnormalities even before they can be felt.

3. Ultrasound: A test that uses sound waves to create an image of the breast tissue, which can help determine if a lump is solid or filled with fluid.

4. MRI: A magnetic resonance imaging (MRI) scan uses a magnetic field and radio waves to create detailed images of the breast tissue.

5. Biopsy: A small sample of breast tissue is removed and examined under a microscope to determine if cancer cells are present.

6. Blood tests: Certain blood tests, such as a complete blood count or tumor markers, may be done to help determine the stage of the cancer or to monitor treatment.

7. Genetic testing: If there is a family history of breast cancer, genetic testing may be done to determine if there is an inherited gene mutation that increases the risk of developing breast cancer.

8. Bone scan, CT scan, or PET scan: These imaging tests may be done to determine if the cancer has spread to other parts of the body.

Once a diagnosis of breast cancer is made, further tests may be done to determine the stage and grade of the cancer, which helps guide treatment decisions.

Disclaimer: medical

This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.

The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.

Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.

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Disclaimer: copyright

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