scholarly journals Image Analysis and Flow Cytometric DNA Studies of Benign and Malignant Body Cavity Fluids: Reappraisal of the Role of Current Methods in the Differential Diagnosis of Reactive Versus Malignant Conditions

2000 ◽  
Vol 13 (7) ◽  
pp. 788-796 ◽  
Author(s):  
Oscar Lazcano ◽  
Li-Mien Chen ◽  
Cheng Tsai ◽  
Chin-Yang Li ◽  
Jerry A Katzmann ◽  
...  
Keyword(s):  
Image Analysis ◽  
Differential Diagnosis ◽  
Body Cavity ◽  
Flow Cytometric

Peripheral lymphadenopathy: role of excisional biopsy in differential diagnosis based on a five-year experience

2019 ◽  
Vol 74 (3) ◽  
Author(s):  
Michela Campanelli ◽  
Francesca Cabry ◽  
Roberto Marasca ◽  
Roberta Gelmini
Keyword(s):  
Differential Diagnosis ◽  
Excisional Biopsy

The role of magnetic resonance imaging in differential diagnosis of adnexal masses during pregnancy

GYNECOLOGY ◽  
2014 ◽  
Vol 16 (1) ◽  
pp. 69-72
Author(s):  
S.A. Martynov ◽  
◽  
L.V. Adamyan ◽  
E.A. Kulabukhova ◽  
P.V. Uchevatkina ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Differential Diagnosis ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Adnexal Masses

Chronic cholangitis: Differential diagnosis and role of MRI

2020 ◽  
Vol 62 (6) ◽  
pp. 452-463
Author(s):  
E. Cebada Chaparro ◽  
J. Lloret del Hoyo ◽  
R. Méndez Fernández
Keyword(s):  
Differential Diagnosis

scholarly journals The Constantly Evolving Role of Medical Image Processing in Oncology: From Traditional Medical Image Processing to Imaging Biomarkers and Radiomics

2021 ◽  
Vol 7 (8) ◽  
pp. 124
Author(s):  
Kostas Marias
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Medical Image ◽  
Biomarker Discovery ◽  
Medical Image Processing ◽  
Machine Learning Techniques ◽  
Imaging Biomarker ◽  
Imaging Biomarkers ◽  
Precision Oncology

The role of medical image computing in oncology is growing stronger, not least due to the unprecedented advancement of computational AI techniques, providing a technological bridge between radiology and oncology, which could significantly accelerate the advancement of precision medicine throughout the cancer care continuum. Medical image processing has been an active field of research for more than three decades, focusing initially on traditional image analysis tasks such as registration segmentation, fusion, and contrast optimization. However, with the advancement of model-based medical image processing, the field of imaging biomarker discovery has focused on transforming functional imaging data into meaningful biomarkers that are able to provide insight into a tumor’s pathophysiology. More recently, the advancement of high-performance computing, in conjunction with the availability of large medical imaging datasets, has enabled the deployment of sophisticated machine learning techniques in the context of radiomics and deep learning modeling. This paper reviews and discusses the evolving role of image analysis and processing through the lens of the abovementioned developments, which hold promise for accelerating precision oncology, in the sense of improved diagnosis, prognosis, and treatment planning of cancer.

scholarly journals Differential Diagnosis of the Short IGF-I-Deficient Child with Apparently Normal Growth Hormone Secretion

2021 ◽  
pp. 1-24
Author(s):  
Jan M. Wit ◽  
Sjoerd D. Joustra ◽  
Monique Losekoot ◽  
Hermine A. van Duyvenvoorde ◽  
Christiaan de Bruin
Keyword(s):  
Growth Hormone ◽  
Differential Diagnosis ◽  
Growth Hormone Secretion ◽  
Normal Growth ◽  
Stimulation Test ◽  
Healthy Children ◽  
Genetic Causes ◽  
Gh Secretion ◽  
Igf I

The current differential diagnosis for a short child with low insulin-like growth factor I (IGF-I) and a normal growth hormone (GH) peak in a GH stimulation test (GHST), after exclusion of acquired causes, includes the following disorders: (1) a decreased spontaneous GH secretion in contrast to a normal stimulated GH peak (“GH neurosecretory dysfunction,” GHND) and (2) genetic conditions with a normal GH sensitivity (e.g., pathogenic variants of <i>GH1</i> or <i>GHSR</i>) and (3) GH insensitivity (GHI). We present a critical appraisal of the concept of GHND and the role of 12- or 24-h GH profiles in the selection of children for GH treatment. The mean 24-h GH concentration in healthy children overlaps with that in those with GH deficiency, indicating that the previously proposed cutoff limit (3.0–3.2 μg/L) is too high. The main advantage of performing a GH profile is that it prevents about 20% of false-positive test results of the GHST, while it also detects a low spontaneous GH secretion in children who would be considered GH sufficient based on a stimulation test. However, due to a considerable burden for patients and the health budget, GH profiles are only used in few centres. Regarding genetic causes, there is good evidence of the existence of Kowarski syndrome (due to <i>GH1</i> variants) but less on the role of <i>GHSR</i> variants. Several genetic causes of (partial) GHI are known (<i>GHR</i>, <i>STAT5B</i>, <i>STAT3</i>, <i>IGF1</i>, <i>IGFALS</i> defects, and Noonan and 3M syndromes), some responding positively to GH therapy. In the final section, we speculate on hypothetical causes.

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