scholarly journals To Determine the Accuracy of Frozen Section in the Management of Ovarian Tumours

2021 ◽  
Vol 10 (11) ◽  
pp. 793-797
Author(s):  
Sarmishta Murugesan ◽  
Alka Natrat Nadar

BACKGROUND Frozen section done during surgery provides a valuable tool in the diagnosis and classification of tumours into benign, borderline and malignant. In this study, we evaluated the intraoperative findings and the accuracy of the frozen section and compared it with the final histopathology report. METHODS A retrospective study was done in the Department of Obstetrics and Gynecology in Sri Ramachandra University and Research Centre from January 2017 to January 2020, for a period of 3 years and data was taken from the patients who underwent surgery-staging laparotomy for ovarian masses along with frozen section in the diagnosis of their tumor. The final histopathology report is the gold standard for detection of ovarian tumours. The accuracy of the frozen section was compared with the final histopathological report on paraffin section. RESULTS There was a total of 109 cases during the study period of 3 years. Out of the total, frozen section showed 55 malignancy cases, 7 cases were borderline, and 47 cases were benign tumors; whereas the final histopathology report showed 51 malignant cases, 9 borderline cases, and 49 cases were benign tumors. This shows that frozen section has almost 97 % accuracy. CONCLUSIONS Frozen section is a very good tool in the diagnosis of tumour whether benign, borderline or malignant and when compared with the final histopathological report gives good accuracy. The diagnosis given during surgery is helpful in the further management of patients according to the stage of the tumour. KEY WORDS Frozen Section, Benign, Borderline, Malignant tumours, Final Histopathological Report

2000 ◽  
Vol 124 (12) ◽  
pp. 1792-1799 ◽  
Author(s):  
James D. Siebert ◽  
Lori M. Weeks ◽  
Larry W. List ◽  
John W. Kugler ◽  
James A. Knost ◽  
...  

Abstract Context.—Flow cytometry immunophenotyping (FC) of needle aspiration/biopsy (NAB) samples has been reported to be useful for the diagnosis and classification of lymphoma in university and cancer center–based settings. Nevertheless, there is no agreement on the utility of these methods. Objective.—To further define the utility of adjunctive FC of clinical NAB for the diagnosis and classification of lymphoma, and to determine if this approach is practicable in a routine clinical practice setting. Setting.—A community-based hospital. Methods.—Clinical NABs were submitted for adjunctive FC between June 1996 and September 1999 if initial smears were suspicious for lymphoma. Smears and cell block or needle core tissues were routinely processed and paraffin-section immunostains were performed if indicated. The final diagnosis was determined by correlating clinical and pathologic data, and the revised European-American classification criteria were used to subtype lymphomas. Results.—Needle aspiration/biopsies from 60 different patients were submitted for FC. Final diagnoses were lymphoma (n = 38), other neoplasm (n = 15), benign (n = 6), or insufficient (n = 1). For 38 lymphomas (20 primary, 18 recurrent), patients ranged in age from 32 to 86 years (mean, 62 years); samples were obtained from the retroperitoneum (n = 11), lymph node (n = 9), abdomen (n = 8), mediastinum (n = 6), or other site (n = 4); and lymphoma subtypes were indolent B-cell (n = 20; 2 small lymphocytic, 14 follicle center, 4 not subtyped), aggressive B-cell (n = 14; 3 mantle cell, 10 large cell, 1 not subtyped), B-cell not further specified (n = 2), or Hodgkin disease (n = 2). For the diagnosis of these lymphomas, FC was necessary in 20 cases, useful in 14 cases, not useful in 2 cases, and misleading in 2 cases. Thirty-two of 36 lymphoma patients with follow-up data received antitumor therapy based on the results of NAB plus FC. Conclusions.—Adjunctive FC of NABs is potentially practicable in a community hospital, is necessary or useful for the diagnosis and subtyping of most B-cell lymphomas, and can help direct lymphoma therapy. Repeated NAB or surgical biopsy is necessary for diagnosis or treatment in some cases.


Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood

: 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.


Author(s):  
Philip Cowen

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.


Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson

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.


2021 ◽  
Vol 8 (3) ◽  
pp. 315-336
Author(s):  
Isabelle Moulonguet ◽  
Sylvie Fraitag

Panniculitides form a heterogenous group of inflammatory diseases that involve the subcutaneous adipose tissue. These disorders are rare in children and have many aetiologies. As in adults, the panniculitis can be the primary process in a systemic disorder or a secondary process that results from infection, trauma or exposure to medication. Some types of panniculitis are seen more commonly or exclusively in children, and several new entities have been described in recent years. Most types of panniculitis have the same clinical presentation (regardless of the aetiology), with tender, erythematous subcutaneous nodules. Although the patient’s age and the lesion site provide information, a histopathological assessment is sometimes required for a definitive diagnosis and classification of the disorder. In children, most panniculitides are lobular. At present, autoimmune inflammatory diseases and primary immunodeficiencies have been better characterised; panniculitis can be the presenting symptom in some of these settings. Unexplained panniculitis in a young child should prompt a detailed screen for monogenic immune disorders because the latter usually manifest themselves early in life. Here, we review forms of panniculitis that occur primarily in children, with a focus on newly described entities.


Diagnosis ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mairi Pucci ◽  
Marco Benati ◽  
Claudia Lo Cascio ◽  
Martina Montagnana ◽  
Giuseppe Lippi

AbstractDiabetes is one of the most prevalent diseases worldwide, whereby type 1 diabetes mellitus (T1DM) alone involves nearly 15 million patients. Although T1DM and type 2 diabetes mellitus (T2DM) are the most common types, there are other forms of diabetes which may remain often under-diagnosed, or that can be misdiagnosed as being T1DM or T2DM. After an initial diagnostic step, the differential diagnosis among T1DM, T2DM, Maturity-Onset Diabetes of the Young (MODY) and others forms has important implication for both therapeutic and behavioral decisions. Although the criteria used for diagnosing diabetes mellitus are well defined by the guidelines of the American Diabetes Association (ADA), no clear indications are provided on the optimal approach to be followed for classifying diabetes, especially in children. In this circumstance, both routine and genetic blood test may play a pivotal role. Therefore, the purpose of this article is to provide, through a narrative literature review, some elements that may aid accurate diagnosis and classification of diabetes in children and young people.


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