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      From subjective to objective: A pilot study on testicular radiomics analysis as a measure of gonadal function

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          Abstract

          Background

          The connection between testicular ultrasound (US) parameters and testicular function, including both spermato‐ and steroidogenesis has been largely suggested, but their predictive properties are not routinely applied. Radiomics, a new engineering approach to radiological imaging, could overcome the visual limit of the sonographer.

          Objectives

          This study is aimed at extracting objective testicular US features, correlating with testicular function, including both spermato‐ and steroidogenesis, using an engineering approach, in order to overcome the operator‐dependent subjectivity.

          Materials and methods

          Prospective observational pilot study from December 2019 to December 2020 on normozoospermic subjects and patients with semen variables alterations, excluding azoospermia. All patients underwent conventional semen analysis, pituitary‐gonadal hormones assessment, and testicular US, performed by the same operator. US images were analyzed by Biolab (Turin) throughout image segmentation, image pre‐processing, and texture features extraction.

          Results

          One hundred seventy US testicular images were collected from 85 patients (age 38.6 ± 9.1 years). A total of 44 first‐order and advanced features were extracted. US inhomogeneity defined by radiomics significantly correlates with the andrologist definition, showing for the first time a mathematical quantification of a subjective US evaluation. Thirteen US texture features correlated with semen parameters, predicting sperm concentration, total sperm number, progressive motility, total motility and morphology, and with gonadotropins serum levels, but not with total testosterone serum levels. Classification analyses confirmed that US textural features predicted patients’ classification according to semen parameters alterations.

          Conclusions

          Radiomics texture features qualitatively describe the testicular parenchyma with objective and reliable quantitative parameters, reflecting both the testicular spermatogenic capability and the action of pituitary gonadotropins. This is an innovative model in which US texture features represent a mirror of the pituitary‐gonadal homeostasis in terms of reproductive function.

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          Most cited references41

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          Radiomics: Images Are More than Pictures, They Are Data

          This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
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            Radiomics: extracting more information from medical images using advanced feature analysis.

            Solid cancers are spatially and temporally heterogeneous. This limits the use of invasive biopsy based molecular assays but gives huge potential for medical imaging, which has the ability to capture intra-tumoural heterogeneity in a non-invasive way. During the past decades, medical imaging innovations with new hardware, new imaging agents and standardised protocols, allows the field to move towards quantitative imaging. Therefore, also the development of automated and reproducible analysis methodologies to extract more information from image-based features is a requirement. Radiomics--the high-throughput extraction of large amounts of image features from radiographic images--addresses this problem and is one of the approaches that hold great promises but need further validation in multi-centric settings and in the laboratory. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              The molecular biology, biochemistry, and physiology of human steroidogenesis and its disorders.

              Steroidogenesis entails processes by which cholesterol is converted to biologically active steroid hormones. Whereas most endocrine texts discuss adrenal, ovarian, testicular, placental, and other steroidogenic processes in a gland-specific fashion, steroidogenesis is better understood as a single process that is repeated in each gland with cell-type-specific variations on a single theme. Thus, understanding steroidogenesis is rooted in an understanding of the biochemistry of the various steroidogenic enzymes and cofactors and the genes that encode them. The first and rate-limiting step in steroidogenesis is the conversion of cholesterol to pregnenolone by a single enzyme, P450scc (CYP11A1), but this enzymatically complex step is subject to multiple regulatory mechanisms, yielding finely tuned quantitative regulation. Qualitative regulation determining the type of steroid to be produced is mediated by many enzymes and cofactors. Steroidogenic enzymes fall into two groups: cytochrome P450 enzymes and hydroxysteroid dehydrogenases. A cytochrome P450 may be either type 1 (in mitochondria) or type 2 (in endoplasmic reticulum), and a hydroxysteroid dehydrogenase may belong to either the aldo-keto reductase or short-chain dehydrogenase/reductase families. The activities of these enzymes are modulated by posttranslational modifications and by cofactors, especially electron-donating redox partners. The elucidation of the precise roles of these various enzymes and cofactors has been greatly facilitated by identifying the genetic bases of rare disorders of steroidogenesis. Some enzymes not principally involved in steroidogenesis may also catalyze extraglandular steroidogenesis, modulating the phenotype expected to result from some mutations. Understanding steroidogenesis is of fundamental importance to understanding disorders of sexual differentiation, reproduction, fertility, hypertension, obesity, and physiological homeostasis.
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                Author and article information

                Contributors
                daniele.santi@unimore.it
                Journal
                Andrology
                Andrology
                10.1111/(ISSN)2047-2927
                ANDR
                Andrology
                John Wiley and Sons Inc. (Hoboken )
                2047-2919
                2047-2927
                09 December 2021
                March 2022
                : 10
                : 3 ( doiID: 10.1111/andr.v10.3 )
                : 505-517
                Affiliations
                [ 1 ] Biolab Department of Electronics and Telecommunications Politecnico di Torino Turin Italy
                [ 2 ] Unit of Endocrinology Department of Medical Specialties Azienda Ospedaliero‐Universitaria of Modena Ospedale Civile of Baggiovara Modena Italy
                [ 3 ] Department of Biomedical Metabolic and Neural Sciences University of Modena and Reggio Emilia Modena Italy
                Author notes
                [*] [* ] Correspondence

                Daniele Santi, Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero‐Universitaria of Modena, Ospedale Civile of Baggiovara, Via Giardini 1355, 41126, Modena, Italy.

                Email: daniele.santi@ 123456unimore.it

                Author information
                https://orcid.org/0000-0003-3790-7645
                https://orcid.org/0000-0002-2133-4304
                Article
                ANDR13131
                10.1111/andr.13131
                9299912
                34817934
                ec770d06-adf6-4cb0-bdaa-b4dfb5804bdf
                © 2021 The Authors. Andrology published by Wiley Periodicals LLC on behalf of American Society of Andrology and European Academy of Andrology

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 16 November 2021
                : 09 October 2021
                : 19 November 2021
                Page count
                Figures: 4, Tables: 4, Pages: 13, Words: 7717
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                March 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:20.07.2022

                male infertility,radiomics,testicular function,testicular inhomogeneity,testicular ultrasound

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