Tuanyë cancer de cuäŋ aye yök në thëm juɛ̈c ku kuɛɛr ke kuɛɛr, nɔŋic:
1. Anyïkööl ke akïm ku athëm de guɔ̈p: Akïm abï thiëc në biäk de kä ye yï nyuɔɔth, akïm cï kɔn ya tɔ̈ ke yï ye raan de dɔ̈m, ku jɔl ya kɔc ke paanduɔ̈n cï kɔn ya tɔ̈ ke nɔŋ tuany ë cancer de cuäŋ.
Keek abï yï guɔ̈p ya them ku bïk tïŋ lɔn cïn yen kë nyoth yen tuany.
Thëm de kä ye tïŋ: Thëm de cuäŋ cɔl 'chest X-rays' ku jɔl ya 'computed tomography (CT) scans' aye kek lac looi agokë kä juëc ke puɔ̈u ya tïŋ ku jɔl ya kä thiääk kenë kek.
Thëm käkë alëu bïk kony në yök de kä cïï röt lac looi, cït mɛn de tuanytuɛɛny ka tuɛnytuɛɛny, man lëu bï ya nyuɔɔth ke tuany ë cancer atɔ̈ në yïpuɔ̈u.
3. Sputum cytology: Kë ye tïŋ në biäk de tuanytuɛɛny ke cancer aye tïŋ në microscope yic.
4. Biopsy: Kë cï yök në puɔ̈u yic aye nyaai ku löm kek në microscope ago ya tïŋ na nɔŋ tuanytuɛɛny tɔ̈ në puɔ̈u yic.
Kän alëu bï ya looi në kë de bronchoscopy, needle biopsy, ka surgical biopsy.
5. Bronchoscopy: A thin, lighted tube with a camera aye tääu në wum ka thok ku le në yethok bï aliir ku jɔl ya puɔ̈ɔ̈r de cuäŋ ya tïŋ.
Ëluɔɔi kënë alëu bï ya looi agonë kä ke guɔ̈p ya nyaai ago kek ya cɔk tɔ̈ ëke cï kek ya looi.
6. Fine-needle aspiration (FNA): Kë ye cɔla thin needle ee lɔ̈ɔ̈m në tuɔŋ yic bï cell ya nyaai ku bï kek ya them.
7. Thoracentesis: Piu aye nyaai kaam tuɛnytuɛny ku päny de cuäŋ në luï de aguïër, ku piu aye them ago tuanytuɛny ke cancer ya yök.
8. Thëm ë riɛm: Na cɔk thëm ë riɛm yetök ya kë cie lëu bï tuany de cancer de cuäŋ ya ŋic, ke ka lëu bï raan kony bï pial de guɔ̈p de raan tuany ya ŋic ku bï käjuäc ye yen nyuɔɔth ya ŋic.
9. Bone scan, MRI, pet scan, ku thëm kɔ̈k: Thëm käkë alëu bï kek ya looi ago kek ya tïŋ na cï tuany de cancer ɣet në biäk de guɔ̈p yic.
Na cï tuaany de lung cancer ya yök, ke kä kɔ̈k lëu bï kek ya looi aye kek them ago tuany de cancer ya ŋic, ago kɔc ya kuɔny në kuɛ̈ny ë yic de kë bï kek ya looi.
Thëm kä aa lëu bïk yic naŋ thëm dɛ̈t peei benë kek ya tïŋ, cïmën de CT scan de nhom, bone scan, ka positron emission tomography (PET) scan.
Zhou P, Lu F, Wang J, Wang K, Liu B, Li N, Tang B: A portable point-of-care testing system to diagnose lung cancer through the detection of exosomal miRNA in urine and saliva. Chem Commun (Camb). 2020, 56 (63): 8968-8971.
Ni J, Guo Z, Zhang L: [The diagnostic significance of single or combination lung cancer-related serum biomarkers in high risk lung cancer patients]. Zhonghua Nei Ke Za Zhi. 2016, 55 (1): 25-30.
Nishiyama N, Nakatani S, Iwasa R, Taguchi S, Inoue K, Kinoshita H: [Differential diagnosis between peripheral lung cancer invading the chest wall and chest-wall tumors]. Kyobu Geka. 1997, 50 (10): 893-7.
Kang C, Wang D, Zhang X, Wang L, Wang F, Chen J: Construction and Validation of a Lung Cancer Diagnostic Model Based on 6-Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers. Comput Math Methods Med. 2021, 2021 (): 9987067.
Heydari F, Rafsanjani MK: A Review on Lung Cancer Diagnosis Using Data Mining Algorithms. Curr Med Imaging. 2021, 17 (1): 16-26.
Li L, Feng T, Zhang W, Gao S, Wang R, Lv W, Zhu T, Yu H, Qian B: MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer. Int J Genomics. 2020, 2020 (): 7415909.
Li B, Yuan Q, Zou YT, Su T, Lin Q, Zhang YQ, Shi WQ, Liang RB, Ge QM, Li QY, Shao Y: CA-125, CA-153, and CYFRA21-1 as clinical indicators in male lung cancer with ocular metastasis. J Cancer. 2020, 11 (10): 2730-2736.
Magee ND, Villaumie JS, Marple ET, Ennis M, Elborn JS, McGarvey JJ: Ex vivo diagnosis of lung cancer using a Raman miniprobe. J Phys Chem B. 2009, 113 (23): 8137-41.
['Wɛ̈t cï lueel: wal']
['Wɛbthait kën ee piööc ku wël tɔ̈u thïn ku acie kë ye looi bï kɔc ke akïm ya lɛ̈k wala bï kɔc ke luɔi ya kony.']
['Wël cï kek ya lueel në ye athöör kënë yic acïï lëu bï kek ya kony agonë tuanytuɛny ya ŋic ku bï kek ya kony, ku kɔc wïc kuɔɔny de akïm adhil akïm de akïm ya thiëëc bï kek ya kony.']
['Tiɛ̈ŋë kä ye kuɔɔny de neural net looi, man ye kä ye bɛ̈n në kä cï kek ya thiëëc yiic, aye kek cɔk tɔ̈ ëke cïï kek ye deet yiic në thɛɛr juëc yiic. Cïmën de, ciin de kɔc cï kek yök ëke tuany.']
['Thïëc wɛ̈t akïmdu ka raan dɛ̈t wënë cï piöc ë pialgup wënë cï yök në biäk de tuaany. Duk wɛ̈t akïm ye kuɛ̈ɛ̈c nhom cɔk alɔn cï yen ya kë cï kueen në wɛbthait kënnë yic. Na ye tak ke yïn nɔŋ kë wïc bë yï kony në tuany, cɔl 911 ka lɔɔr në ɣön akïm tɔ̈u të thiääk ke yï në kaam thiin koor yic. Acïn akïm-tuany ye thiääk në yen në wɛbthait kënnë yic ka luɔ̈i de. BioMedLib ka kɔc cï luöi, ka raan ëbɛ̈n ye luui në yen në wɛbthait kënnë yic, acïn kë ye lueel, ye lueel ka ye lueel, në kë de wël cï kek gɔ̈ɔ̈r në ye athöör kënnë yic ka luɔ̈i de.']
['Wɛ̈t cï lueel: copyright']
['Lööŋ ke Digital Millennium Copyright Act de 1998, 17 U.S.C. § 512 (ye DMCA) ee kɔc ye käke kɔc gɔ̈t gam ke kä tɔ̈ në Internet aye käken tɔ̈ në U.S. copyright law dhoŋ kɔ̈th. ']
['Na ye gam në yith ke këriɛ̈ɛ̈c ka kä cï gɔ̈ɔ̈r tɔ̈ në wɛbthaitda ka kuɔɔnyda yic acï löŋ de gël de kä cï gɔ̈ɔ̈r dhoŋ kɔ̈u, ke yïn (ka raan ye yïn luɔ̈ɔ̈i) alëu ba ɣok tuɔ̈c wɛ̈t bï këriɛ̈ɛ̈c ka kä cï gɔ̈ɔ̈r nyaai, ka bï yïn pëën ba lɔ thïn. ']
["Wël aa bë ke tuɔɔc në athöör yic në email (tïŋ 'Rin de athöör' në biäk de email)."]
['DMCA ee wïc lɔnadɛ̈ ke kë ca lueel de kä cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i anɔŋic wël cï keek gɔ̈ɔ̈r: (1) luɛɛl de kä cï keek luɔ̈ɔ̈i cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i cï keek lueel; (2) luɛɛl de kä cï keek gɔ̈ɔ̈r cï keek lueel ku wël cï keek lueel bï keek cɔk lëu bïkë kä cï keek gɔ̈ɔ̈r yök; (3) wël bï yïn ke kɔn ya kɔɔr, nɔŋiic adrɛ̈ɛ̈rdu, namba de telepun ku adrɛ̈ɛ̈r de imeel; (4) wɛ̈t cï lueel në yï nhom lɔnadɛ̈ ke yïn ye gam ke kë cï gɔ̈ɔ̈r cï looi në kueer cï yïn ye gaam acie gam në raan de kä cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i, ka raan de lööŋ, ka në luɔɔi de löŋ; ']
['(5) athöör cï yïn gätpiny në awuɔ̈c de wɛ̈t lueth, lɔnadɛ̈ ke wël tɔ̈ në athöör yic aye yith ku lɔnadɛ̈ ke yïn anɔŋ riɛl ba kä cï gɔ̈t ke lööŋ ke raan nɔŋ nhïïm ya looi në kë cï wuɔ̈ɔ̈c; ']
['Ku (6) ke ye kä cï gɔ̈t ke guɔ̈p ka kä cï gɔ̈t ke mɛ̈ɛ̈t de raan de kä cï luɔ̈ɔ̈i ka raan cï gäm riɛl bï luui në nyin de raan de kä cï luɔ̈ɔ̈i. ']
['Na këc wël cï gɔ̈ɔ̈r nhial tɔ̈u thïn kedhiɛ gɔ̈t, ke ka lëu bï këdun cï yïn gaam ya gääu.']
['Thiëc kek']
['Tuɔɔc email tënë ɣok na nɔŋ këdun thiëc/cï yïn tak.']
How is lung cancer diagnosed?
Lung cancer is diagnosed through a combination of tests and procedures, which may include:
1. Medical history and physical examination: The doctor will ask about your symptoms, smoking history, and family history of lung cancer.
They will also perform a physical examination to check for any signs of the disease.
2. Imaging tests: Chest X-rays and computed tomography (CT) scans are commonly used to create detailed images of the lungs and surrounding structures.
These tests can help detect abnormalities, such as tumors or nodules, that may indicate the presence of lung cancer.
3. Sputum cytology: A sample of your sputum (mucus coughed up from the lungs) is examined under a microscope to look for cancer cells.
4. Biopsy: A sample of lung tissue is removed and examined under a microscope to determine if cancer cells are present.
This can be done through a bronchoscopy, needle biopsy, or surgical biopsy.
5. Bronchoscopy: A thin, lighted tube with a camera is inserted through the nose or mouth and down the throat to examine the airways and lungs.
This procedure can also be used to collect tissue samples for biopsy.
6. Fine-needle aspiration (FNA): A thin needle is inserted into the lung nodule or mass to collect a sample of cells for examination.
7. Thoracentesis: Fluid is removed from the space between the lungs and chest wall using a needle, and the fluid is then examined for cancer cells.
8. Blood tests: While blood tests alone cannot diagnose lung cancer, they can help determine the overall health of the patient and identify any abnormalities that may indicate the presence of cancer.
9. Bone scan, mri, pet scan, and other tests: These tests may be used to determine if the cancer has spread to other parts of the body.
Once lung cancer is diagnosed, additional tests may be performed to determine the stage of the cancer, which helps guide treatment decisions.
These tests may include more imaging tests, such as a CT scan of the brain, bone scan, or positron emission tomography (PET) scan.
Disclaimer: medical
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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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