Protocol for the Examination of Specimens From Patients With Primary Pituitary Tumors

Abstract In an effort to improve the diagnosis of pituitary tumors, we propose a synoptic approach to pituitary pathology reporting that will provide clear information to endocrinologists, neurosurgeons, neuropathologists, and surgical pathologists to advance the diagnosis and classification of pituitary adenomas.

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Progress in the Diagnosis and Classification of Pituitary Adenomas

Frontiers in Endocrinology ◽

10.3389/fendo.2015.00097 ◽

2015 ◽

Vol 6 ◽

Cited By ~ 30

Author(s):

Luis V. Syro ◽

Fabio Rotondo ◽

Alex Ramirez ◽

Antonio Di Ieva ◽

Murat Aydin Sav ◽

...

Keyword(s):

Pituitary Adenomas ◽

Diagnosis And Classification

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Variability and Lack of Prognostic Value Associated With Atypical Pituitary Adenoma Diagnosis: A Systematic Review and Critical Assessment of the Diagnostic Criteria

Neurosurgery ◽

10.1093/neuros/nyx541 ◽

2017 ◽

Vol 83 (4) ◽

pp. 602-610 ◽

Cited By ~ 2

Author(s):

Kelsi Chesney ◽

Zoe Memel ◽

Dhiraj J Pangal ◽

Daniel Donoho ◽

Kyle Hurth ◽

...

Keyword(s):

Systematic Review ◽

Pituitary Adenomas ◽

Pituitary Tumors ◽

World Health ◽

Resonance Imaging ◽

Prognostic Utility ◽

Atypical Pituitary Adenoma ◽

Health Organization

Abstract BACKGROUND Atypical pituitary adenomas (APAs) are a subset of pituitary adenomas (PAs) characterized by the 2004 World Health Organization (WHO) guidelines to have higher risk histopathological features than typical PAs. In July 2017, the WHO published an update to their classification of pituitary tumors and abandoned the APA terminology. OBJECTIVE To assess the prevalence and outcomes of patients diagnosed with APA through a literature review. Focus was placed on variation in the application of the previous WHO criteria and on rates of recurrence. METHODS A systematic review of PubMed (2004-July 2017) was performed to identify studies reporting prevalence and clinical characteristics/outcomes of APA. Eight studies were analyzed for prevalence. Six studies reporting histopathological details were analyzed in depth. RESULTS Of the 7105 included patients, 373 (5.2%) met criteria for APA (prevalence range: 3%-15%). Only 2 of 8 studies utilized identical grading criteria, demonstrating a lack of standardized application. Most APAs (84%) were macroadenomas, with 52% invasive on magnetic resonance imaging. Nonfunctional PAs were most common (37%), followed by prolactinomas (23%) and Growth Hormone adenomas (21%). Recurrence/progression occurred in 21% of APA patients (follow-up range 37-75 mo). Only 2 of 8 studies reported an association between APA diagnosis and recurrence/progression. CONCLUSION Based on diagnostic variability and lack of association with clinical outcomes, refinement of criteria for APA was necessary. The WHO update eliminates the ambiguity in APA diagnosis in favor of criteria that emphasize clinical behavior (invasion, recurrence, and resistance to treatment) and molecular markers. Our review supports abandonment of the previous APA designation due to limited prognostic utility.

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Ultrastructural Immunocytochemistry of Five Rat Pituitary Adenomas

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s1431927600003147 ◽

1980 ◽

Vol 38 ◽

pp. 724-725

Author(s):

D. J. McComb ◽

N. Ryan ◽

E. Horvath ◽

K. Kovacs ◽

E. Nagy ◽

...

Keyword(s):

Pituitary Adenomas ◽

Pituitary Tumors ◽

Electron Microscopic ◽

Electron Microscopic Immunocytochemistry ◽

Transmission Electron ◽

Rat Pituitary ◽

Radiation Induced ◽

Group 5 ◽

Group 2 ◽

Microscopic Techniques

Conventional light and electron microscopic techniques failed to clarify the cellular composition and derivation of spontaneous and induced, intrasellar and transplanted pituitary adenomas in rats (1). In the present work, electron microscopic immunocytochemistry was applied to evaluate five adenohypo-physial tumors using a technique described by Moriarty and Garner (2). Spontaneously occurring pituitary adenomas (group 1) were harvested from aging female Long-Evans rats. R-Amsterdam rats were treated with 2 x 1.0 mg estrone acetate (HogivaI) s.c. weekly for 6 months. Pituitary adenomas in excess of 30 mg were removed from these animals to make up the tumors of group 2. Groups 3 and 4 consisted of estrogen-induced autonomous transplan¬ted pituitary tumors MtT.WlO and MtT.F4. Group 5 was a radiation-induced transplanted autonomous pituitary tumor MtT.W5. The tumors of groups 3,4 and 5 were allowed to proliferate in host rats 6-8 weeks prior to removal for processing. Tissue was processed for transmission electron microscopy (glutaraldehyde fixation, OsO4 postfixation and epoxy resin embedding), and electron microscopic immunocytochemistry (3% paraformaldehyde fixation and Araldite embedding).

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Molecular classification of pituitary adenomas

Endocrine Abstracts ◽

10.1530/endoabs.37.gp.18.09 ◽

2015 ◽

Author(s):

Antonio Pico ◽

Laura Sanchez-Tejada ◽

Ruth Sanchez-Ortiga ◽

Rosa Camara ◽

Cristina Lamas ◽

...

Keyword(s):

Pituitary Adenomas ◽

Molecular Classification

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Determination of effective parameters for diagnosis and classification of air-conditioning refrigerant noise by logistic regression

Noise Control Engineering Journal ◽

10.3397/1/376635 ◽

2018 ◽

Vol 66 (5) ◽

pp. 415-423 ◽

Cited By ~ 1

Author(s):

Yong-Dae Kim ◽

Kook-Hyun Yoo ◽

Jae-Eung Oh

Keyword(s):

Logistic Regression ◽

Air Conditioning ◽

Effective Parameters ◽

Diagnosis And Classification

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Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405616666200406110547 ◽

2020 ◽

Vol 16 ◽

Cited By ~ 3

Author(s):

Saliha Zahoor ◽

Ikram Ullah Lali ◽

Muhammad Attique Khan ◽

Kashif Javed ◽

Waqar Mehmood

Keyword(s):

Breast Cancer ◽

Computer Aided Diagnosis ◽

Diagnose Breast Cancer ◽

Initial Stage ◽

Computer Aided ◽

Diagnosis And Classification ◽

And Performance ◽

Tools And Techniques ◽

Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

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Depression

10.1093/oso/9780198801900.003.0004 ◽

2017 ◽

Author(s):

Philip Cowen

Keyword(s):

International Classification Of Diseases ◽

Behavioural Therapy ◽

Historical Background ◽

Cognitive Behavioural ◽

Classification Of Diseases ◽

Icd 10 ◽

Diagnosis And Classification ◽

Modern Experience ◽

Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

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Diagnoses, Dimensions, and DSM-5

The Oxford Handbook of Clinical Psychology ◽

10.1093/oxfordhb/9780195366884.013.0013 ◽

2010 ◽

pp. 254-279

Author(s):

Thomas A. Widiger ◽

Maryanne Edmundson

Keyword(s):

Substance Use ◽

Mental Disorders ◽

Paradigm Shift ◽

Empirical Support ◽

Statistical Manual ◽

Diagnostic And Statistical Manual ◽

Dsm 5 ◽

Dimensional Classification ◽

Diagnosis And Classification

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.

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