Immunohistochemical Markers in the Diagnosis of Neuroendocrine Neoplasms of the Head and Neck

1995 ◽  
Vol 104 (5) ◽  
pp. 413-418 ◽  
Author(s):  
Christopher M. Milroy ◽  
Alfio Ferlito

Immunohistochemistry is important in the diagnosis of neuroendocrine neoplasms of the head and neck, particularly in the differential diagnosis of the various neuroendocrine neoplasms, although the results of staining should never be interpreted alone, but together with conventional histopathologic findings. It is emphasized that there are currently no markers capable of distinguishing between benign and malignant tumors. A correct diagnosis is of paramount importance, since treatment depends on the diagnostic accuracy and prognosis is naturally related substantially to the phenotype.

2021 ◽  
Vol 15 (8) ◽  
pp. 2057-2059
Author(s):  
Maham Ashraf ◽  
Aysha Anjum ◽  
Eisha Tahir ◽  
Amber Goraya ◽  
Rabia Aqeel

Background & Objective: Renal tumors are a common finding in diagnostic imaging; these lesions usually are solid or cystic, benign or malignant, and the correct diagnosis may be difficult. The current study aims at to determine the diagnostic accuracy of magnetic resonance imaging for the diagnosis of Wilms tumor taking histopathology as gold standard. Methodology: This cross-sectional study was carried at the Department of Radiology, The Children’s Hospital & Institute of Child Health Lahore over 6 months from March 2019 to September 2019. The study involved 125 children of both genders aged between 2 years to 14 years presenting with a neoplastic mass in the retroperitoneum on ultrasound abdomen during initial workup. These children were assessed on MRI for the diagnosis of Wilms tumor. Later the diagnosis was confirmed on histopathology which was taken as gold standard and the diagnosis of MRI was judged accordingly as true/false and positive/negative. A written informed consent was obtained from every patient. Results: The mean age of the children was 5.8±3.9 years having a male predominance with male to female ratio of 1.8:1. Wilms tumor was suspected in 13 (10.4%) children on MRI. The diagnosis of Wilms tumor was confirmed in 13 (10.4%) children on histopathology. MRI was found to be 76.9% sensitive, 97.3% specific and 95.2% accurate with positive and negative predictive values of 76.9% and 97.3% respectively. Conclusion: In the present study, MRI was found to be 95.2% accurate in the differential diagnosis of Wilms tumor in children presenting with retroperitoneal mass which along with its non-invasive and radiation free nature advocates the preferred use of MRI in the diagnostic evaluation of such children in future oncologic practice. Keywords: Retroperitoneal Tumor, Wilms Tumor, MRI, Diagnostic Accuracy


2015 ◽  
Vol 139 (1) ◽  
pp. 55-66 ◽  
Author(s):  
Shaobo Zhu ◽  
Conrad Schuerch ◽  
Jennifer Hunt

Context Immunohistochemistry is a useful tool for diagnosing salivary gland and head and neck tumors. Objective To review immunohistochemical markers, which can aid in the diagnosis of selected salivary gland and head and neck tumors. Data Sources Literature review and authors' personal practice experience. Conclusions Salivary gland and head and neck tumors include a large diverse group of tumors with complex and overlapping histologic features. Immunohistochemistry plays an important role in resolving the differential diagnosis of some salivary gland and head and neck tumors and can provide information for the prognosis of certain tumors.


2017 ◽  
pp. 16-27
Author(s):  
N. Yu. Kashtanova ◽  
I. I. Pyatkova

Paragangliomas of the head and neck are extremely rare tumors. During the period of professional activity, a radiologist can meet single patients with parangliomas. So it is important to know the main diagnostic signs when meeting with such patients, вecause on-time diagnosis and treatment contribute to reduce surgical risk. The purpose of this review is to study the most common localizations of paragangliomas of head and neck and describe main visualization characteristics which are necessary for correct diagnosis and differential diagnosis.


Author(s):  
Juliana Cagliari Linhares Barreto ◽  
Larissa Odilia Da Costa Binotti ◽  
Camila Bae Uneda ◽  
Bernardo Relvas Lucas ◽  
Natalia Mello Do Vale ◽  
...  

Author(s):  
Yukinori Harada ◽  
Shinichi Katsukura ◽  
Ren Kawamura ◽  
Taro Shimizu

Background: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking systems with AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy was shown. However, considering the negative effects of AI-driven differential-diagnosis lists such as omission (physicians reject a correct diagnosis suggested by AI) and commission (physicians accept an incorrect diagnosis suggested by AI) errors, the efficacy of AI-driven automated medical-history-taking systems without AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy should be evaluated. Objective: The present study was conducted to evaluate the efficacy of AI-driven automated medical-history-taking systems with or without AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy. Methods: This randomized controlled study was conducted in January 2021 and included 22 physicians working at a university hospital. Participants were required to read 16 clinical vignettes in which the AI-driven medical history of real patients generated up to three differential diagnoses per case. Participants were divided into two groups: with and without an AI-driven differential-diagnosis list. Results: There was no significant difference in diagnostic accuracy between the two groups (57.4% vs. 56.3%, respectively; p = 0.91). Vignettes that included a correct diagnosis in the AI-generated list showed the greatest positive effect on physicians’ diagnostic accuracy (adjusted odds ratio 7.68; 95% CI 4.68–12.58; p < 0.001). In the group with AI-driven differential-diagnosis lists, 15.9% of diagnoses were omission errors and 14.8% were commission errors. Conclusions: Physicians’ diagnostic accuracy using AI-driven automated medical history did not differ between the groups with and without AI-driven differential-diagnosis lists.


2016 ◽  
Vol 12 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Katie Ekberg ◽  
Markus Reuber

There are many areas in medicine in which the diagnosis poses significant difficulties and depends essentially on the clinician’s ability to take and interpret the patient’s history. The differential diagnosis of transient loss of consciousness (TLOC) is one such example, in particular the distinction between epilepsy and ‘psychogenic’ non-epileptic seizures (NES) is often difficult. A correct diagnosis is crucial because it determines the choice of treatment. Diagnosis is typically reliant on patients’ (and witnesses’) descriptions; however, conventional methods of history-taking focusing on the factual content of these descriptions are associated with relatively high rates of diagnostic errors. The use of linguistic methods (particularly conversation analysis) in research settings has demonstrated that these approaches can provide hints likely to be useful in the differentiation of epileptic and non-epileptic seizures. This paper explores to what extent (and under which conditions) the findings of these previous studies could be transposed from a research into a routine clinical setting.


2020 ◽  
Vol 24 (3) ◽  
pp. 63-75
Author(s):  
Yu. A. Stepanova ◽  
M. Z. Alimurzaeva ◽  
D. A. Ionkin

The incidence of focal lesions in the spleen is 3.2–4.2% per 100,000 population. Spleen cysts are rare (incidence 0.75 per 100,000). These are single or multiple, thin- and smooth-walled cavities filled with a transparent liquid. Distinguish between primary (or true) cysts, lined with epithelium, and secondary (or false), devoid of epithelial lining. Among the primary cysts, there are congenital cysts formed in the embryonic period due to the migration of peritoneal cells into the spleen tissue, dermoid and epidermoid cysts. A special group of primary cysts are parasitic cysts. Cystic tumors of the spleen include lymphangioma and lymphoma.The main difficulties in the diagnosis and differential diagnosis of cysts and cystic tumors of the spleen are associated with the rarity of this pathology and, as a consequence, a small number of works, including a significant number of the cases. However, in those works where a large number of the cases are described, most often this is one morphological form and an analysis of its various characteristics.Purpose. Based on the analysis of our own examination data of a significant number of patients with cysts and cystic tumors of the spleen, to assess the possibility of differential diagnosis of individual morphological forms according to ultrasound data.Materials and methods. 323 patients with cysts and cystic tumors of the spleen from 15 to 77 years old (men – 105 (32.5%); women – 218 (67.5%) were treated at A.V. Vishnevsky National Medical Research Center of Surgery for the period from 1980 to 2020. All patients underwent ultrasound during examination. Surgical treatment was carried out in various ways – (85.1%), when making a preoperative diagnosis of an uncomplicated spleen cyst of small size, dynamic observation was carried out (verification by puncture biopsy data).Results. Morphological verification of cysts and cystic tumors of the spleen was presented as follows (taking into account possible difficulties in identifying the epithelial lining): true cyst – 182 (56.4%); dermoid cyst – 3 (0.9%) (malignant – in 1 case); pseudocyst – 16 (5.0%); pancreatogenic – 34 (10.5%); echinococcus – 52 (16.1%); lymphangioma – 24 (7.4%); lymphoma – 10 (3.1%); ovarian cancer metastasis – 2 (0.6%). The article describes the ultrasound signs of the above forms of the lesions with an emphasis on the complexity of diagnosis.Conclusions. Primary and parasitic spleen cysts are well differentiated according to ultrasound; false cysts of the spleen, depending on the cause of their occurrence, can create difficulties in their identification and differentiation (they require careful dynamic control); cystic tumors of the spleen should be differentiated from malignant tumors and metastases of a cystic structure, as a result of which such vigilance should always be present when they are detected.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1961.1-1961
Author(s):  
J. Knitza ◽  
J. Mohn ◽  
C. Bergmann ◽  
E. Kampylafka ◽  
M. Hagen ◽  
...  

Background:Symptom checkers (SC) promise to reduce diagnostic delay, misdiagnosis and effectively guide patients through healthcare systems. They are increasingly used, however little evidence exists about their real-life effectiveness.Objectives:The aim of this study was to evaluate the diagnostic accuracy, usage time, usability and perceived usefulness of two promising SC, ADA (www.ada.com) and Rheport (www.rheport.de). Furthermore, symptom duration and previous symptom checking was recorded.Methods:Cross-sectional interim clinical data from the first of three recruiting centers from the prospective, real-world, multicenter bETTeR-study (DKRS DRKS00017642) was used. Patients newly presenting to a secondary rheumatology outpatient clinic between September and December 2019 completed the ADA and Rheport SC. The time and answers were recorded and compared to the patient’s actual diagnosis. ADA provides up to 5 disease suggestions, Rheport calculates a risk score for rheumatic musculoskeletal diseases (RMDs) (≥1=RMD). For both SC the sensitivity, specificity was calculated regarding RMDs. Furthermore, patients completed a survey evaluating the SC usability using the system usability scale (SUS), perceived usefulness, previous symptom checking and symptom duration.Results:Of the 129 consecutive patients approached, 97 agreed to participate. 38% (37/97) of the presenting patients presented with an RMD (Figure 1). Mean symptom duration was 146 weeks and a mean number of 10 physician contacts occurred previously, to evaluate current symptoms. 56% (54/96) had previously checked their symptoms on the internet using search engines, spending a mean of 6 hours. Rheport showed a sensitivity of 49% (18/37) and specificity of 58% (35/60) concerning RMDs. ADA’s top 1 and top 5 disease suggestions concerning RMD showed a sensitivity of 43% (16/37) and 54% (20/37) and a specificity of 58% (35/60) and 52% (31/60), respectively. ADA listed the correct diagnosis of the patients with RMDs first or within the first 5 disease suggestions in 19% (7/37) and 30% (11/37), respectively. The average perceived usefulness for checking symptoms using ADA, internet search engines and Rheport was 3.0, 3.5 and 3.1 on a visual analog scale from 1-5 (5=very useful). 61% (59/96) and 64% (61/96) would recommend using ADA and Rheport, respectively. The mean SUS score of ADA and Rheport was 72/100 and 73/100. The mean usage time for ADA and Rheport was 8 and 9 minutes, respectively.Conclusion:This is the first prospective, real-world, multicenter study evaluating the diagnostic accuracy and other features of two currently used SC in rheumatology. These interim results suggest that diagnostic accuracy is limited, however SC are well accepted among patients and in some cases, correct diagnosis can be provided out of the pocket within few minutes, saving valuable time.Figure:Acknowledgments:This study was supported by an unrestricted research grant from Novartis.Disclosure of Interests:Johannes Knitza Grant/research support from: Research Grant: Novartis, Jacob Mohn: None declared, Christina Bergmann: None declared, Eleni Kampylafka Speakers bureau: Novartis, BMS, Janssen, Melanie Hagen: None declared, Daniela Bohr: None declared, Elizabeth Araujo Speakers bureau: Novartis, Lilly, Abbott, Matthias Englbrecht Grant/research support from: Roche Pharma, Chugai Pharma Europe, Consultant of: AbbVie, Roche Pharma, RheumaDatenRhePort GbR, Speakers bureau: AbbVie, Celgene, Chugai Pharma Europe, Lilly, Mundipharma, Novartis, Pfizer, Roche Pharma, UCB, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, Timo Meinderink: None declared, Wolfgang Vorbrüggen: None declared, Cay-Benedict von der Decken: None declared, Stefan Kleinert Shareholder of: Morphosys, Grant/research support from: Novartis, Consultant of: Novartis, Speakers bureau: Abbvie, Novartis, Celgene, Roche, Chugai, Janssen, Andreas Ramming Grant/research support from: Pfizer, Novartis, Consultant of: Boehringer Ingelheim, Novartis, Gilead, Pfizer, Speakers bureau: Boehringer Ingelheim, Roche, Janssen, Jörg Distler Grant/research support from: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Paid instructor for: Boehringer Ingelheim, Speakers bureau: Boehringer Ingelheim, Peter Bartz-Bazzanella: None declared, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB, Axel Hueber Grant/research support from: Novartis, Lilly, Pfizer, Consultant of: Abbvie, BMS, Celgene, Gilead, GSK, Lilly, Novartis, Speakers bureau: GSK, Lilly, Novartis, Martin Welcker Grant/research support from: Abbvie, Novartis, UCB, Hexal, BMS, Lilly, Roche, Celgene, Sanofi, Consultant of: Abbvie, Actelion, Aescu, Amgen, Celgene, Hexal, Janssen, Medac, Novartis, Pfizer, Sanofi, UCB, Speakers bureau: Abbvie, Aescu, Amgen, Biogen, Berlin Chemie, Celgene, GSK, Hexal, Mylan, Novartis, Pfizer, UCB


2021 ◽  
Vol 7 (3) ◽  
pp. 38
Author(s):  
Alexandra Korotaeva ◽  
Danzan Mansorunov ◽  
Natalya Apanovich ◽  
Anna Kuzevanova ◽  
Alexander Karpukhin

Neuroendocrine neoplasms (NEN) are infrequent malignant tumors of a neuroendocrine nature that arise in various organs. They occur most frequently in the lungs, intestines, stomach and pancreas. Molecular diagnostics and prognosis of NEN development are highly relevant. The role of clinical biomarkers can be played by microRNAs (miRNAs). This work is devoted to the analysis of data on miRNA expression in NENs. For the first time, a search for specificity or a community of their functional characteristics in different types of NEN was carried out. Their properties as biomarkers were also analyzed. To date, more than 100 miRNAs have been characterized as differentially expressed and significant for the development of NEN tumors. Only about 10% of the studied miRNAs are expressed in several types of NEN; differential expression of the remaining 90% was found only in tumors of specific localizations. A significant number of miRNAs have been identified as potential biomarkers. However, only a few miRNAs have values that characterized their quality as markers. The analysis demonstrates the predominant specific expression of miRNA in each studied type of NEN. This indicates that miRNA’s functional features are predominantly influenced by the tissue in which they are formed.


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