Rekomendacje Polskich Towarzystw Naukowych „Diagnostyka i leczenie raka tarczycy”. Aktualizacja na rok 2018

Jarząb, Barbara; Dedecjus, Marek; Słowińska-Klencka, Dorota; Lewiński, Andrzej; Adamczewski, Zbigniew; Bagłaj, Maciej; Bałdys-Waligórska, Agata; Barczyński, Marcin; Bednarczuk, Tomasz; Bossowski, Artur; Buziak-Bereza, Monika; Chmielik, Ewa; Cichocki, Andrzej; Czarniecka, Agnieszka; Czepczyński, Rafał; Dzięcioł, J; Gawlik, Tomasz; Handkiewicz-Junak, Daria; Hasse-Lazar, Kornelia; Hubalewska‐Dydejczyk, Alicja; Jażdżewski, Krystian; Jurecka‐Lubieniecka, Beata; Kalemba, Michał; Kamiński, Grzegorz; Karbownik-Lewińska, Małgorzata; Klencki, Mariusz; Kos–Kudła, Beata; Kotecka-Blicharz, Agnieszka; Kowalska, Aldona; Krajewska, Jolanta; Kropińska, Aleksandra; Kukulska, Aleksandra; Кулик, Е И; Kułakowski, A; Kuzdak, Krzysztof; Lange, Dariusz; Ledwoń, Aleksandra; Lewandowska-Jabłońska, Elżbieta; Łącka, Katarzyna; Michalik, Barbara; Nasierowska‐Guttmejer, Anna; Nauman, J; Niedziela, Marek; Małecka-Tendera, Ewa; Oczko-Wojciechowska, Małgorzata; Olczyk, Tomasz; Paliczka-Cieślik, Ewa; Pomorski, Lech; Puch, Zbigniew; Roskosz, Józef; Ruchała, Marek; Rusinek, Dagmara; Sporny, Stanisław; Stanek-Widera, Agata; Stojčev, Zoran; Syguła, Aleksandra; Syrenicz, Anhelli; Szpak‐Ulczok, Sylwia; Tomkalski, Tomasz; Wygoda, Zbigniew; Włoch, Jan; Zembala‐Nożyńska, Ewa

doi:10.5603/ep.2018.0014

Cited by 37 publications

(48 citation statements)

References 24 publications

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“…According to GPDT, thyroid nodule diagnosis in patients younger than 20 and older than 60 may also increase the risk of malignancy. Furthermore, lymph nodes that have been confirmed to be cancerous, occurrence of distant metastasis, rapid thyroid nodule enlargement, and symptoms such as swallowing difficulties or voice change also significantly increase the probability of malignancy in the thyroid nodule [5], [18].…”

Section: A Clinical Analysis Backgroundmentioning

confidence: 99%

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Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

et al. 2020

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The use of machine learning has increased over the years, especially in the world of molecular data. Generally, the inference of relationships between features is determined by statistical models. The phenotype (observable clinical characteristics) can result from the expression of the genotype (genetic code) or environmental factors. Molecular datasets have limited information, while supporting clinical data is ambiguous. There are no well-established approaches for combining clinical information with genomic repositories. The genomic tests that are available only use molecular data and give physicians a result which can be integrated clinically. In this paper, we present the strategy where clinical data, regardless of its limitations, is combined in one predictive model with molecular features. We predict the risk of malignancy in the thyroid nodules based on the results of fine-needle aspiration biopsy and expression of selected genes. We utilize a Bayesian network (BN) framework to discover relationships between molecular features and assess the impact of added clinical data quality on the performance of the chosen gene set. Bayesian network offering both prognostic and diagnostic perspectives is a perfect non-parametric technique for feature selection, feature extraction, and prediction purposes. We show that certain clinical factors could work as a synthetic feature and provide predictive abilities beyond what genes alone can offer. The experimental results demonstrate a higher performance of predictive models based on molecular and clinical data than when using only molecular data. We also explain why, one should consider the source of clinical data, but be aware of the quality of variables.

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Section: A Clinical Analysis Backgroundmentioning

confidence: 99%

“…Unfortunately, about 20% of cytopathology re-sults are inconclusive falling in one of the indeterminate categories, i.e. Bethesda III (B3) or IV (B4), with the risk of malignancy varying widely among populations [5], [18], [21]. Rates for part of the Polish population were published in GPDT, as shown in Table 1.…”

Section: A Clinical Analysis Backgroundmentioning

confidence: 99%

Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

et al. 2020

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“…Therewithal, it is worth noting that the ratio of 'suspicious for papillary thyroid carcinoma' led to higher diagnostic accuracy in the post-TBSRTC period than in the pre-BSRTC one [24]. Recently, a comprehensive paper by Jarzab et al [25], as a Polish think tank, recommended that effective diagnosis and treatment of a thyroid cancer should be a multicentre experience. Their own 10-year observation related to BSRTC implementation was presented as well as a strict algorithm for patient management and for the biopsy procedure itself.…”

Section: Thyroid Cytologymentioning

confidence: 99%

“…The paper pointed out how to resolve the most common concerns, such as AUS/FLUS (third group) and "follicular neoplasm" (fourth group). All of the recommendations presented based on the BSRTC proved the significant value of categorisation in patient treatment [25]. To summarise, a thesis could be stated that strict regulation and maintaining a high quality of biopsy provides a high accuracy ratio in detecting thyroid cancer and helps to avoid unnecessary surgeries.…”

Section: Thyroid Cytologymentioning

confidence: 99%

“…According to Perez-Machado, a second look at the analysis of pancreatic smears after the publication of a new guide has changed the primary diagnosis. Former 30.9% negative samples were replaced with 23.9%, and 18.7% of atypical samples were split into other, new categories and gained a completely new meaning [25]. This terminology covers the most frequent pancreatic entities and is the first step towards a unified nomenclature.…”

Section: Pancreatic Cytologymentioning

confidence: 99%

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Unified cytological reports determine the clinical management

Żelezik¹,

Michalska²,

Radowicz-Chil³

et al. 2019

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All types of cytological procedures bear a burden of unequivocal reports and confusion with setting a proper clinical procedure. In 1989, The Bethesda System (TBS) was introduced to resolve many concerns in the matter of unclear classification of changes in cervical cytology. The guidelines of TBS were based on the clinical data provided, the quality of the smear assessment, unification of terminology, and updated knowledge about changes underlying cell abnormalities. It is believed that both TBS and thyroid TBS inspired the members of the Papanicolaou Society of Cytology to design and publish a modern approach to pancreatic lesion description. The presented proposal created a strong foundation for clinical management and revealed a serious risk of underdiagnosis. In light of the short time since the launch of this guide, more time is needed to estimate its impact, especially since only a few clinical centres have implemented it to this day. Streszczenie Wszystkich typów badań cytologicznych dotyczy problem dwuznacznych wyników, które utrudniają wdrożenie właściwych procedur leczniczych. Aby rozwiać wiele wątpliwości wynikających z niejasnej klasyfikacji zmian w cytologii szyjki macicy, w 1989 roku stworzono system określony od miejsca powstania jako "Bethesda system". Jego podstawowe zasady oparto na dostarczonych danych klinicznych, ocenie jakości materiału, ujednoliceniu terminologii, jak również na zaktualizowanej wiedzy o zmianach patologicznych w komórkach. Po zakończonym sukcesem włączeniu go do użytku podobne rozwiązania wdrożono do raportowania biopsji tarczycy. Można podejrzewać, że to zainspirowało członków Papanicolau Society of Cytology do opublikowania systemu klasyfikacji zmian guzowatych trzustki. Z perspektywy czasu można powiedzieć, że system Bethesda oceny zmian w szyjce macicy i w tarczycy został bardzo chętnie zaakceptowany przez patologów i klinicystów, a przedstawione klasyfikacje stworzyły fundament dla ujednoliconego postępowania klinicznego. Wydaje się, że obiektywna ocena wpływu przedstawionych propozycji na proces diagnostyczny wymaga więcej czasu.

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The Role of Feature Selection in Text Mining in the Process of Discovering Missing Clinical Annotations – Case Study

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Płuciennik

Pach

et al. 2019

Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis

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Rekomendacje Polskich Towarzystw Naukowych „Diagnostyka i leczenie raka tarczycy”. Aktualizacja na rok 2018

Cited by 37 publications

References 24 publications

Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

Unified cytological reports determine the clinical management

The Role of Feature Selection in Text Mining in the Process of Discovering Missing Clinical Annotations – Case Study

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