دانلود رایگان مقاله انگلیسی طبقه بندی طیفی برای تشخیص آسیب های متعدد در محیط های پیچیده بالینی - الزویر 2019

عنوان فارسی
طبقه بندی طیفی برای تشخیص آسیب های متعدد در محیط های پیچیده بالینی: یک نمونه نورو انکولوژی
عنوان انگلیسی
Spectral classification for diagnosis involving numerous pathologies in a complex clinical setting: A neuro-oncology example
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2019
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E9486
رشته های مرتبط با این مقاله
پزشکی
گرایش های مرتبط با این مقاله
آسیب شناسی
مجله
Spectrochimica Acta بخش A: طیف سنجی مولکولی و بیومولکولی - Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
دانشگاه
School of Pharmacy and Biomedical Sciences - University of Central Lancashire - UK
کلمات کلیدی
طیف سنجی ATR-FTIR، بیوفیلد ها، تومورهای مغز، طبقه بندی، حساسیت، اختصاصی
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.saa.2018.07.078
چکیده

abstract


Much effort is currently being placed into developing new blood tests for cancer diagnosis in the hope of moving cancer diagnosis earlier and by less invasive means than current techniques, e.g., biopsy. Current methods are expected to diagnose and begin treatment of cancer within 62 days of patient presentation, though due to high volume and pressures within the NHS in the UK any technique that can reduce time to diagnosis would allow reduction in the time to treat for patients. The use of vibrational spectroscopy, notably infrared (IR) spectroscopy, has been under investigation for many years with varying success. This technique holds promise as is would combine a generally well accepted test (a blood test) with analysis that is reagent free and cheap to run. It has been demonstrated that, when asked simple clinical questions (i.e., cancer vs. no cancer), results from spectroscopic studies are promising. However, in order to become a clinically useful tool, it is important that the test differentiates a variety of cancer types from healthy patients. This study has analysed plasma samples with attenuated total reflection Fourier-transform IR spectroscopy (ATR-FTIR), to establish if the technique is able to distinguish normal from primary or metastatic brain tumours. We have shown that when asked specific questions, i.e., highgrade glioma vs. low-grade glioma, the results show a significantly high accuracy (100%). Crucially, when combined with meningiomas and metastatic lesions, the accuracy remains high (88–100%) with only minimal overlap between the two metastatic adenocarcinoma groups. Therefore in a clinical setting, this novel technique demonstrates potential benefit when used in conjuction with existing diagnostic methods.

نتیجه گیری

5. Conclusions


This study demonstrates that ATR-FTIR spectroscopy is able to differentiate brain tumour types from blood plasma with accuracies of up to 100%. Further work is required to determine if this technique can discriminate tumours from complex non cancer related disorders in order to all clinical medicine to harness the use of ATR-FTIR spectroscopy within the clincal pathway, hopefully decreasing time taken from clinical presentation to diagnosis.


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