New criteria for histopathological classification of testis based on Johnsen score for male infertility using automated deep learning software

2021 ◽  
Author(s):  
Yurika Ito ◽  
Mami Unagami ◽  
Fumito Yamabe ◽  
Yozo Mitsui ◽  
Koichi Nakajima ◽  
...  
Keyword(s):  
Seminiferous Tubules ◽  
Stained Glass ◽  
Average Precision ◽  
Histopathological Classification ◽  
Image Dataset ◽  
Learning Software ◽  
Microscope Slides ◽  
New Criteria ◽  
Glass Microscope

Abstract We examined whether a tool for determining Johnsen scores automatically using artificial intelligence (AI) could be used in place of traditional Johnsen scoring to support pathologists’ evaluations. Average precision, precision, and recall assessed by the Google Cloud AutoML vision platform. We obtained testicular tissues for the 275 patients and were able to make 264 haematoxylin and eosin (H&E)-stained glass microscope slides. In addition, we cut out of parts of the histopathology images (5.0 X 5.0 cm) for expansion of Johnsen’s characteristic areas with seminiferous tubules. We defined four labels: Johnsen score 1-3, 4-5, 6-7, and 8-10 to distinguish Johnsen scores in clinical practice. All images were uploaded to the Google Cloud AutoML vision platform. We obtained a dataset of 7155 images at magnification X400 and a dataset of 9822 expansion images for the 5.0 X 5.0 cm cutouts. For the X400 magnification image dataset, the average precision (positive predictive value) of the algorithm was 82.6%, precision was 80.31%, and recall was 60.96%. For the expansion image dataset (5.0 X 5.0 cm), the average precision of the algorithm was 99.5%, precision was 96.29%, and recall was 96.23%. This is the first report of an AI-based algorithm for predicting Johnsen scores.

scholarly journals A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yurika Ito ◽  
Mami Unagami ◽  
Fumito Yamabe ◽  
Yozo Mitsui ◽  
Koichi Nakajima ◽  
...  
Keyword(s):  
Seminiferous Tubules ◽  
Stained Glass ◽  
Average Precision ◽  
Histopathological Classification ◽  
Image Dataset ◽  
Automated Machine Learning ◽  
Histopathology Images ◽  
Microscope Slides ◽  
Glass Microscope

AbstractWe examined whether a tool for determining Johnsen scores automatically using artificial intelligence (AI) could be used in place of traditional Johnsen scoring to support pathologists’ evaluations. Average precision, precision, and recall were assessed by the Google Cloud AutoML Vision platform. We obtained testicular tissues for 275 patients and were able to use haematoxylin and eosin (H&E)-stained glass microscope slides from 264 patients. In addition, we cut out of parts of the histopathology images (5.0 × 5.0 cm) for expansion of Johnsen’s characteristic areas with seminiferous tubules. We defined four labels: Johnsen score 1–3, 4–5, 6–7, and 8–10 to distinguish Johnsen scores in clinical practice. All images were uploaded to the Google Cloud AutoML Vision platform. We obtained a dataset of 7155 images at magnification 400× and a dataset of 9822 expansion images for the 5.0 × 5.0 cm cutouts. For the 400× magnification image dataset, the average precision (positive predictive value) of the algorithm was 82.6%, precision was 80.31%, and recall was 60.96%. For the expansion image dataset (5.0 × 5.0 cm), the average precision was 99.5%, precision was 96.29%, and recall was 96.23%. This is the first report of an AI-based algorithm for predicting Johnsen scores.

STUDY OF HISTOPATHOLOGY IN PATIENTS WITH HODGKIN AND NON - HODGKIN LYMPHOMA

2016 ◽  
pp. 59-65 ◽  
Author(s):  
Van Mao Nguyen
Keyword(s):  
Lymph Node ◽  
Hodgkin Lymphoma ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Cross Sectional ◽  
Histopathological Classification ◽  
Non Hodgkin Lymphoma ◽  
Key Words Lymphoma ◽  
Malignant Grade

Background: Lymphoma is one of the most ten common cancers in the world as well as in Vietnam which has been ever increasing. It was divided into 2 main groups Hodgkin and non – Hodgkin lymphoma in which non-Hodgkin lymphoma appeared more frequency, worse prognosis and different therapy. Objectives: - To describe some common characteristics in patients with non – Hodgkin lymphoma; - To determine the proportion between Hodgkin and non- Hodgkin lymphoma, histopathological classification of classical Hodgkin by modified Rye 1966 and non-Hodgkin lymphoma by Working Formulation (WF) of US national oncology institute 1982. Materials and Method: This cross-sectional study was conducted on 65 patients with Hodgkin and non- Hodgkin lymphoma diagnosed definitely by histopathology at Hue Central Hospital and Hue University Hospital. Results:. The ratio of male/female for the non-Hodgkin lymphoma was 1.14/1, the most frequent range of age was 51-60 accounting for 35%, not common under 40 years. Non - Hodgkin lymphoma appeared at lymph node was the most common (51.7%), at the extranodal site was rather high 48.3%. The non - Hodgkin lymphoma proportion was predominant 92.3% comparing to the Hodgkin lymphoma only 7.7%; The most WF type was WF7 (53.3%), following the WF6 18,3% and WF5 11,7%; The intermediate malignancy grade of non- Hodgkin lymphoma was the highest proportion accouting for 85%, then the low and the high one 8.3% and 6.7% respectively. Conclusion: The histopathological classification and the malignant grade of lymphoma for Hodgkin and non - Hodgkin lymphoma played a practical role for the prognosis and the treatment orientation, also a fundamental one for the modern classification of non - Hodgkin lymphoma nowadays. Key words: lymphoma, Hodgkin lymphoma, non-Hodgkin lymphoma, classication, grade, histopathology, lymph node

The disposition of benzo(a)pyrene in the periphyton communities of two South Carolina streams: uptake and biotransformation

1982 ◽  
Vol 60 (10) ◽  
pp. 2084-2091 ◽  
Author(s):  
Mary G. Bruno ◽  
Timothy E. Fannin ◽  
Gordon J. Leversee
Keyword(s):  
South Carolina ◽  
Slide Surface ◽  
Uptake Rates ◽  
Area Basis ◽  
Autoradiographic Analysis ◽  
Colonization Time ◽  
Microscope Slides ◽  
Surface Area Basis ◽  
Glass Microscope ◽  
Sheath Material

The effect of periphyton community composition and colonization time on the uptake and biotransformation of benzo(a)pyrene (BaP) was determined in laboratory studies. Naturally colonized glass microscope slides were collected after 3 and 6 weeks from Castor Creek, which has a predominantly desmid flora, and after 3 and 5 weeks from diatom-dominated Upper Three Runs Creek. When expressed on a slide surface-area basis, the Castor Creek periphyton showed significantly greater BaP uptake rates at both colonization periods. Within streams, uptake rates increased significantly with colonization time. Autoradiographic analysis suggests that BaP was accumulated by surface sorption, especially to gelatinous sheath material. Active biotransformation as measured by the percentage extractable non-BaP 14C was not detected in either community.

scholarly journals Recent Development toward the Next Clinical Practice of Primary Aldosteronism: A Literature Review

Biomedicines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 310
Author(s):  
Yuta Tezuka ◽  
Yuto Yamazaki ◽  
Yasuhiro Nakamura ◽  
Hironobu Sasano ◽  
Fumitoshi Satoh
Keyword(s):  
Clinical Practice ◽  
Primary Aldosteronism ◽  
Diagnostic Procedures ◽  
Secondary Hypertension ◽  
Refractory Hypertension ◽  
Diagnostic Biomarkers ◽  
Histopathological Classification ◽  
Subtype Differentiation ◽  
Work Up

For the last seven decades, primary aldosteronism (PA) has been gradually recognized as a leading cause of secondary hypertension harboring increased risks of cardiovascular incidents compared to essential hypertension. Clinically, PA consists of two major subtypes, surgically curable and uncurable phenotypes, determined as unilateral or bilateral PA by adrenal venous sampling. In order to further optimize the treatment, surgery or medications, diagnostic procedures from screening to subtype differentiation is indispensable, while in the general clinical practice, the work-up rate is extremely low even in the patients with refractory hypertension because of the time-consuming and labor-intensive nature of the procedures. Therefore, a novel tool to simplify the diagnostic flow has been recently in enormous demand. In this review, we focus on recent progress in the following clinically important topics of PA: prevalence of PA and its subtypes, newly revealed histopathological classification of aldosterone-producing lesions, novel diagnostic biomarkers and prediction scores. More effective strategy to diagnose PA based on better understanding of its epidemiology and pathology should lead to early detection of PA and could decrease the cardiovascular and renal complications of the patients.

scholarly journals Histopathological classification of cross-sectional image negative hyperaldosteronism

2016 ◽  
pp. jc.2016-2986 ◽  
Author(s):  
Yuto Yamazaki ◽  
Yasuhiro Nakamura ◽  
Kei Omata ◽  
Kazue Ise ◽  
Yuta Tezuka ◽  
...  
Keyword(s):  
Cross Sectional ◽  
Histopathological Classification

scholarly journals SSC/ISTH classification of hemophilia A: can hemophilia center laboratories achieve the new criteria?

2004 ◽  
Vol 2 (2) ◽  
pp. 271-274 ◽  
Author(s):  
F. E. Preston ◽  
S. Kitchen ◽  
I. Jennings ◽  
T. A. L. Woods ◽  
M. Makris
Keyword(s):  
Hemophilia A ◽  
New Criteria

A chemical–mineralogical classification of common plutonic rocks and associations

1983 ◽  
Vol 73 (3) ◽  
pp. 135-149 ◽  
Author(s):  
F. Debon ◽  
P. Le Fort
Keyword(s):  
Analytical Data ◽  
Quartz Content ◽  
New Approach ◽  
Mineralogical Characteristics ◽  
Simple Chemical ◽  
Plutonic Rocks ◽  
The Individual ◽  
New Criteria ◽  
Different Levels

ABSTRACTA classification is proposed, based mainly on major element analytical data plotted in a coherent set of three simple chemical-mineralogical diagrams. The procedure follows two complementary steps at two different levels. The first is concerned with the individual sample: the sample is given a name (e.g. granite, adamellite, granodiorite) and its chemical and mineralogical characteristics are determined. The second one is more important: it aims at defining the type of magmatic association (or series) to which the studied sample or group of samples belongs. Three main types of association are distinguished: cafemic (from source-material mainly or completely mantle-derived), aluminous (mainly or completely derived by anatexis of continental crust), and alumino-cafemic (intermediate between the other two types). Subtypes are then distinguished among the cafemic and alumino-cafemic associations: calc-alkaline (or granodioritic), subalkaline (or monzonitic), alkaline (and peralkaline), tholeiitic (or gabbroic-trondhjemitic), etc. In the same way, numerous subtypes and variants are also distinguished among the aluminous associations using a set of complementary criteria such as quartz content, colour index, alkali ratio, quartz–alkalies relationships and alumina index.Although involving a new approach using partly new criteria, this classification is consistent with most of the divisions used in previous typologies. The method may also be used in the classification of the volcanic equivalents of common plutonic rocks.

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