Diagnostic challenges in the gray-zone lesions of fine-needle aspiration cytology

Gupta, Shruti; Dey, Pranab

doi:10.25259/cytojournal_66_2020

Cited by 3 publications

(3 citation statements)

References 32 publications

(37 reference statements)

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“…Yet, some tumors share highly similar histologic and cytomorphological characteristics, making it difficult to rely on pathological evaluation alone for diagnosis. Morphological similarities between cellular features are often exacerbated in minimally invasive biopsy samples, such as fine needle aspirations (FNAs) (3) or core needles (4), which are collected from suspicious tissue sites or lesions to provide diagnostic information. Often, immunohistochemistry (IHC) and/or other assays are employed to aid in establishing a diagnosis, a prognosis, or molecular subtypes from tissue biopsies for many cancer types, but these methods are time consuming and laborious (5)(6)(7).…”

Section: Biomedical and Diagnostic Applications Oncologymentioning

confidence: 99%

Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis

King

Lin

Spradlin

et al. 2023

Annual Rev. Anal. Chem.

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Offering superb speed, chemical specificity, and analytical sensitivity, direct mass spectrometry (MS) technologies are highly amenable for the molecular analysis of complex tissues to aid in disease characterization and help identify new diagnostic, prognostic, and predictive markers. By enabling detection of clinically actionable molecular profiles from tissues and cells, direct MS technologies have the potential to guide treatment decisions and transform sample analysis within clinical workflows. In this review, we highlight recent health-related developments and applications of direct MS technologies that exhibit tangible potential to accelerate clinical research and disease diagnosis, including oncological and neurodegenerative diseases and microbial infections. We focus primarily on applications that employ direct MS technologies for tissue analysis, including MS imaging technologies to map spatial distributions of molecules in situ as well as handheld devices for rapid in vivo and ex vivo tissue analysis. Expected final online publication date for the Annual Review of Analytical Chemistry, Volume 16 is June 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Biomedical and Diagnostic Applications Oncologymentioning

confidence: 99%

Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis

King

Lin

Spradlin

et al. 2023

Annual Rev. Anal. Chem.

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Section: Biomedical and Diagnostic Applications Oncologymentioning

confidence: 99%

Untitled

2023

Annual Rev. Anal. Chem.

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“…Cytology specimens sometimes could have diminished diagnostic precision, not only due to inadequacy of the sample, but also in terms of determining the exact tumor’s type. [ 5 , 6 ]…”

Section: Introductionmentioning

confidence: 99%

Comparison of FNA-based conventional cytology specimens and digital image analysis in assessment of pancreatic lesions

Khozeymeh,

Ariamanesh,

Roshan

et al. 2023

Cytojournal

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Objectives: Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is one of the most important diagnostic tools for investigation of suspected pancreatic masses, although the interpretation of the results is controversial. In recent decades, digital image analysis (DIA) has been considered in pathology. The aim of this study was to assess the DIA in the evaluation of EUS-FNA based cytopathological specimens of pancreatic masses and comparing it with conventional cytology analysis by pathologist. Material and Methods: This study was performed using cytological slides related to EUS-FNA samples of pancreatic lesions. The digital images were prepared and then analyzed by ImageJ software. Factors such as perimeter, circularity, area, minimum, maximum, mean, median of gray value, and integrated chromatin density of cell nucleus were extracted by software ImageJ and sensitivity, specificity, and cutoff point were evaluated in the diagnosis of malignant and benign lesions. Results: In this retrospective study, 115 cytology samples were examined. Each specimen was reviewed by a pathologist and 150 images were prepared from the benign and malignant lesions and then analyzed by ImageJ software and a cut point was established by SPSS 26. The cutoff points for perimeter, integrated density, and the sum of three factors of perimeter, integrated density, and circularity to differentiate between malignant and benign lesions were reported to be 204.56, 131953, and 24643077, respectively. At this cutting point, the accuracy of estimation is based on the factors of perimeter, integrated density, and the sum of the three factors of perimeter, integrated density, and circularity were 92%, 92%, and 94%, respectively. Conclusion: The results of this study showed that digital analysis of images has a high accuracy in diagnosing malignant and benign lesions in the cytology of EUS-FNA in patients with suspected pancreatic malignancy and by obtaining cutoff points by software output factors; digital imaging can be used to differentiate between benign and malignant pancreatic tumors.

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Diagnostic challenges in the gray-zone lesions of fine-needle aspiration cytology

Cited by 3 publications

References 32 publications

Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis

Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis

Untitled

Comparison of FNA-based conventional cytology specimens and digital image analysis in assessment of pancreatic lesions

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