Vutshunguri bya khensa ya mahahu byi titshege hi swilo swo hlayanyana, ku katsa ni xiyimo xa khensa, muxaka wa khensa ya mahahu ni rihanyo ra muvabyi.
Tindlela tin'wana leti tolovelekeke to tshungula ti katsa:
1. Vuhandzuri: Hakanyingi lebyi hi byona vutshunguri lebyi rhandziwaka eka khensa ya mahahu leyi nga le ku sunguleni.
Muendli wa vuhandzuri u susa tshumba ni xiphemu lexitsongo xa tinyama leti hanyeke kahle leti ri rhendzeleke.
2. Vutshunguri bya ku tirhisa miseve: Miseve leyi nga ni matimba swinene yi tirhisiwa ku dlaya tisele ta khensa ni ku hunguta tshumba.
Yi nga tirhisiwa yi ri yoxe kumbe yi hlanganisiwa ni mirhi yin'wana.
3. Vutshunguri bya tikhemikhali: Vutshunguri lebyi byi tirhisa mirhi leswaku yi dlaya tisele ta khensa.
Yi nga ha cheriwa hi ku tirhisa nsiha wa ngati kumbe hi nomu naswona hakanyingi yi tirhisiwa swin'we ni mirhi yin'wana.
4. Vutshunguri lebyi kongomisiweke: Vutshunguri lebyi byi kongomisiwa eka ti-gene kumbe tiphroteyini to karhi leti hoxaka xandla eka ku kula ni ku hanya ka tisele ta khensa.
Hakanyingi yi tirhisiwa eka khensa ya mahahu leyi nga ni khombo swinene.
5. Vutshunguri bya ku lwa ni mavabyi: Vutshunguri lebyi byi pfuna fambiselo ra nsawutiso leswaku ri kota ku vona tisele ta khensa ni ku ti hlasela.
Hakanyingi yi tirhisiwa eka khensa ya mahahu leyi nga ni khombo swinene.
6. Vutshunguri bya Photodynamic: Vutshunguri lebyi byi tirhisa murhi lowu tirhaka hi ku vonakala leswaku wu dlaya tisele ta khensa.
Hakanyingi yi tirhisiwa eka khensa ya mahahu leyi nga le ku sunguleni.
7. Proton therapy: I muxaka wa vutshunguri bya ku tlhaviwa ka tshumba hi miseve ya matimba lebyi tirhisaka ti-proton ematshan'weni ya miseve ya x-rheyi leswaku yi tlhava tshumba.
Hakanyingi yi tirhisiwa eka khensa ya mahahu leyi nga le ku sunguleni.
8. Minkambisiso ya vutshunguri: Vavabyi va nga ha faneleka ku hlanganyela eka minkambisiso ya vutshunguri leyi ringetaka matshungulelo lamantshwa kumbe matshungulelo lama hlanganisiweke.
I swa nkoka ku bula hi vutshunguri lebyinene ni ntlawa wa vutshunguri, tanihi leswi vutshunguri lebyi tirhaka byi nga ta ya hi xiyimo xa munhu.
Chen JH, Wu J, Xu Q: The emerging treatment landscape of targeted therapy in non-small-cell lung cancer. Signal Transduct Target Ther. , 4 (): 61.
Furuse K: [Photodynamic therapy of centrally located early-stage lung cancer]. Gan To Kagaku Ryoho. 1996, 23 (1): 27-30.
Gálffy G: [From rare mutations to classical ones, inhibition of signaling pathways in non-small cell lung cancer]. Magy Onkol. 2020, 64 (3): 196-204.
Magalhães M, Alvarez-Lorenzo C, Concheiro A, Figueiras A, Santos AC, Veiga F: RNAi-based therapeutics for lung cancer: biomarkers, microRNAs, and nanocarriers. Expert Opin Drug Deliv. 2018, 15 (10): 965-982.
Kataoka M, Fujiwara T, Tanaka N: [Gene therapy for lung cancer]. Nihon Geka Gakkai Zasshi. 2002, 103 (2): 244-9.
Jin C, Yang B: A Case of Delayed Diagnostic Pulmonary Tuberculosis during Targeted Therapy in an EGFR Mutant Non-Small Cell Lung Cancer Patient. Case Rep Oncol. , 14 (1): 659-663.
Wang Y, Liu Q, Chen H, You J, Peng B, Cao F, Zhang X, Chen Q, Uzan G, Xu L, Zhang D: Celastrol improves the therapeutic efficacy of EGFR-TKIs for non-small-cell lung cancer by overcoming EGFR T790M drug resistance. Anticancer Drugs. 2018, 29 (8): 748-755.
['Xihlambanyo xa vutihlamuleri: swa vutshunguri']
['Website leyi yi endleriwe ku dyondzisa ni ku nyika rungula ntsena naswona a yi nyiki switsundzuxo swa vutshunguri kumbe mintirho ya vativi va swa vutshunguri.']
['Rungula leri nyikeriweke a ri fanelanga ri tirhisiwa ku kambela kumbe ku tshungula xiphiqo xa rihanyo kumbe vuvabyi, naswona lava lavaka xitsundzuxo xa vutshunguri va fanele va vonana ni dokodela la nga ni mpfumelelo.']
['Xiya leswaku ndlela leyi ti-neural net ti hlamulaka swivutiso ha yona a yi pakanisi ngopfu loko ku vulavuriwa hi tinomboro, to tanihi nhlayo ya vanhu lava khomiweke hi vuvabyi byo karhi.']
["Minkarhi hinkwayo kombela xitsundzuxo eka dokodela wa wena kumbe eka muongori la fanelekaka malunghana ni xiyimo xa rihanyo ra wena. U nga tshuki u honisa xitsundzuxo xa dokodela kumbe u hlwela ku xi lava hikwalaho ka leswi u swi hlayeke eka website leyi. Loko u ehleketa leswaku u le xiyin'weni xa xihatla xa rihanyo, bela riqingho eka 911 kumbe u ya ekamareni ra xihatla leri nga ekusuhi na wena hi ku hatlisa. A ku na vuxaka bya dokodela ni muvabyi lebyi tumbuluxiweke hi website leyi kumbe ku tirhisiwa ka yona. BioMedLib kumbe vatirhi va yona, kumbe un'wana ni un'wana la hoxaka xandla eka website leyi, a nga endli switiyisekiso, leswi nga erivaleni kumbe leswi nga erivaleni, malunghana ni rungula leri nga laha kumbe ku tirhisiwa ka rona."]
['Ku ala ku byarha vutihlamuleri: mfanelo yo tsala']
['Nawu wa Digital Millennium Copyright Act wa 1998, 17 U.S.C. § 512 (DMCA) wu nyika tindlela ta ku tihlanganisa na vini va timfanelo ta vuhleri lava va tshembaka leswaku swilo leswi humelelaka eka Internet swi tlula timfanelo ta vona ehansi ka nawu wa vuhleri wa U.S.']
['Loko u tshemba leswaku rungula kumbe swilo leswi kumekaka eka website ya hina kumbe eka mintirho ya hina swi tlula mfanelo ya wena yo endla swilo, wena (kumbe muyimeri wa wena) u nga hi rhumela xitiviso u kombela leswaku rungula kumbe swilo leswi swi susiwa kumbe swi siveriwa.']
['Switiviso swi fanele ku rhumeriwa hi ku tsala hi imeyili (languta eka xiyenge xa "Vuxaka" eka adirese ya imeyili).']
["DMCA yi lava leswaku xitiviso xa wena xa ku tlula nawu wa mfanelo ya ku tsala xi katsa mahungu lawa landzelaka: (1) nhlamuselo ya ntirho lowu nga na mfanelo ya ku tsala lowu ku vuriwaka leswaku wu tluriwile; (2) nhlamuselo ya leswi ku vuriwaka leswaku swi tlula nawu wa ku tsala ni mahungu lama ringaneke ku hi pfumelela ku kuma leswi nga endzeni; (3) mahungu ya ku tihlanganisa na wena, ku katsa ni adirese ya wena, nomboro ya riqingho na adirese ya imeyili; (4) xitiviso xa wena xa leswaku u ni ripfumelo ra leswaku leswi nga endzeni hi ndlela leyi ku vilelaka ha yona a swi pfumeleriwanga hi n'wini wa mfanelo ya ku tsala, kumbe muyimeri wa yena, kumbe hi ku tirha ka nawu wihi na wihi; "]
['(5) xitiyisiso xa wena, lexi sayiniweke ehansi ka nxupulo wa ku hemba, xa leswaku mahungu lama nga eka xitiviso i ntiyiso ni leswaku u na matimba yo tirhisa timfanelo ta vuqambi leti ku vuriwaka leswaku ti tluriwile;']
["na (6) ku sayina ka xiviri kumbe ka elektroniki ka n'wini wa mfanelo ya vuqambi kumbe munhu la pfumeleriweke ku endla hi vito ra n'wini wa mfanelo ya vuqambi. "]
['Loko u nga nghenisi vuxokoxoko hinkwabyo lebyi nga laha henhla swi nga endla leswaku ku tirhana ni xivilelo xa wena swi hlwela.']
['Ku Tihlanganisa']
['Hi kombela u hi rhumela imeyili hi xivutiso/xiringanyeto xihi na xihi.']
How to treat lung cancer?
The treatment for lung cancer depends on several factors, including the stage of the cancer, the type of lung cancer, and the patient's overall health.
Some common treatment options include:
1. Surgery: This is often the preferred treatment for early-stage lung cancer.
The surgeon removes the tumor and a small portion of healthy tissue around it.
2. Radiation therapy: High-energy radiation is used to kill cancer cells and shrink tumors.
It can be used alone or in combination with other treatments.
3. Chemotherapy: This treatment uses drugs to kill cancer cells.
It can be given intravenously or or orally, and is often used in combination with other treatments.
4. Targeted therapy: This treatment targets specific genes or proteins that contribute to the growth and survival of cancer cells.
It is often used for advanced or metastatic lung cancer.
5. Immunotherapy: This treatment helps the immune system recognize and attack cancer cells.
It is often used for advanced or metastatic lung cancer.
6. Photodynamic therapy: This treatment uses a light-activated drug to kill cancer cells.
It is often used for early-stage lung cancer.
7. Proton therapy: This is a type of radiation therapy that uses protons instead of x-rays to deliver radiation to the tumor.
It is often used for early-stage lung cancer.
8. Clinical trials: Patients may be eligible to participate in clinical trials testing new treatments or combinations of treatments.
It is important to discuss the best treatment options with a healthcare team, as the most effective treatment plan will depend on the individual's specific situation.
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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Disclaimer: copyright
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['Hi ku komisa']
['BioMedLib yi tirhisa tikhompyuta leti nga lo endliwa (ti-algorithm ta michini) ku endla swivutiso ni tinhlamulo.']
['Hi sungula hi minkandziyiso ya swa vutshunguri ya 35 wa timiliyoni ya PubMed/Medline. Nakambe, matluka ya Web ya RefinedWeb.']
