We are analyzing https://link.springer.com/article/10.1007/s00330-022-09174-8.

Title:
Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? A systematic review | European Radiology
Description:
Objectives To provide an overarching evaluation of the value of peritumoral CT radiomics features for predicting the prognosis of non-small cell lung cancer and to assess the quality of the available studies. Methods The PubMed, Embase, Web of Science, and Cochrane Library databases were searched for studies predicting the prognosis in patients with non-small cell lung cancer (NSCLC) using CT-based peritumoral radiomics features. Information about the patient, CT-scanner, and radiomics analyses were all extracted for the included studies. Study quality was assessed using the Radiomics Quality Score (RQS) and the Prediction Model Risk of Bias Assessment Tool (PROBAST). Results Thirteen studies were included with 2942 patients from 2017 to 2022. Only one study was prospective, and the others were all retrospectively designed. Manual segmentation and multicenter studies were performed by 69% and 46% of the included studies, respectively. 3D-Slicer and MATLAB software were most commonly used for the segmentation of lesions and extraction of features. The peritumoral region was most frequently defined as dilated from the tumor boundary of 15 mm, 20 mm, or 30 mm. The median RQS of the studies was 13 (range 4–19), while all of included studies were assessed as having a high risk of bias (ROB) overall. Conclusions Peritumoral radiomics features based on CT images showed promise in predicting the prognosis of NSCLC, although well-designed studies and further biological validation are still needed. Key Points • Peritumoral radiomics features based on CT images are promising and encouraging for predicting the prognosis of non-small cell lung cancer. • The peritumoral region was often dilated from the tumor boundary of 15 mm or 20 mm because these were considered safe margins. • The median Radiomics Quality Score of the included studies was 13 (range 4–19), and all of studies were considered to have a high risk of bias overall.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

Education
Science
Health & Fitness

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month

Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Link.springer.com Make Money? {💸}

The income method remains a mystery to us.

While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Link.springer.com has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

radiomics, studies, pubmed, lung, article, cancer, features, google, scholar, tumor, peritumoral, included, patients, cell, nonsmall, study, prognosis, risk, nsclc, model, prognostic, table, review, prediction, type, survival, mask, systematic, volume, rqs, segmentation, images, analysis, data, quality, bias, radiomic, predicting, biological, clinical, central, information, search, assessment, performance, models, score, size, treatment, feature,

Topics {✒️}

pre-surgical ct scans small-cell lung cancer de jong pa maosheng xu & chen gao derive potential markers preoperative ct-based peritumoral ct-based radiomics signatures computed tomography radiomics 4d-ct phase information planning target volume article download pdf intraclass correlation coefficient ct-based peritumoral radiomics high-throughput radiomics features thoracic ct image intratumoral radiomic features full access privacy choices/manage cookies related subjects xie hj lung nodule detection computed tomography radiomic signature developed gross tumor volume ct radiomics signature basic search terms quantitative vessel tortuosity locally advanced nsclc radiomic-based phenotyping ct radiomic features peritumoral radiomic features radial deviation features quantitative evaluation criterion manage internal motion european economic area peritumoral lung parenchyma radiomics-based prediction radical resection based solid lung adenocarcinoma pure-solid nsclc [23] prognostic radiomics features discriminating radiomic predictor peritumoral radiomics features deep learning model lung cancer screening sixteen key components lymphocyte distribution predict peritumoral radiomics model complex statistical methods ct images based

Questions {❓}

Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer?
Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? A systematic review
         description:To provide an overarching evaluation of the value of peritumoral CT radiomics features for predicting the prognosis of non-small cell lung cancer and to assess the quality of the available studies. The PubMed, Embase, Web of Science, and Cochrane Library databases were searched for studies predicting the prognosis in patients with non-small cell lung cancer (NSCLC) using CT-based peritumoral radiomics features. Information about the patient, CT-scanner, and radiomics analyses were all extracted for the included studies. Study quality was assessed using the Radiomics Quality Score (RQS) and the Prediction Model Risk of Bias Assessment Tool (PROBAST). Thirteen studies were included with 2942 patients from 2017 to 2022. Only one study was prospective, and the others were all retrospectively designed. Manual segmentation and multicenter studies were performed by 69% and 46% of the included studies, respectively. 3D-Slicer and MATLAB software were most commonly used for the segmentation of lesions and extraction of features. The peritumoral region was most frequently defined as dilated from the tumor boundary of 15 mm, 20 mm, or 30 mm. The median RQS of the studies was 13 (range 4–19), while all of included studies were assessed as having a high risk of bias (ROB) overall. Peritumoral radiomics features based on CT images showed promise in predicting the prognosis of NSCLC, although well-designed studies and further biological validation are still needed. • Peritumoral radiomics features based on CT images are promising and encouraging for predicting the prognosis of non-small cell lung cancer. • The peritumoral region was often dilated from the tumor boundary of 15 mm or 20 mm because these were considered safe margins. • The median Radiomics Quality Score of the included studies was 13 (range 4–19), and all of studies were considered to have a high risk of bias overall.
         datePublished:2022-10-29T00:00:00Z
         dateModified:2022-10-29T00:00:00Z
         pageStart:2105
         pageEnd:2117
         license:http://creativecommons.org/licenses/by/4.0/
         sameAs:https://doi.org/10.1007/s00330-022-09174-8
         keywords:
            Carcinoma, non-small-cell lung
            Solitary pulmonary nodule
            Prognosis
            Tomography, X-ray computed
            Machine learning
            Imaging / Radiology
            Diagnostic Radiology
            Interventional Radiology
            Neuroradiology
            Ultrasound
            Internal Medicine
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig1_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig2_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig3_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig4_HTML.png
         isPartOf:
            name:European Radiology
            issn:
               1432-1084
            volumeNumber:33
            type:
               Periodical
               PublicationVolume
         publisher:
            name:Springer Berlin Heidelberg
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Linyu Wu
               affiliation:
                     name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                     address:
                        name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                        type:PostalAddress
                     type:Organization
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                     address:
                        name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Xinjing Lou
               affiliation:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                     address:
                        name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Ning Kong
               affiliation:
                     name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                     address:
                        name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                        type:PostalAddress
                     type:Organization
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                     address:
                        name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Maosheng Xu
               affiliation:
                     name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                     address:
                        name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                        type:PostalAddress
                     type:Organization
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                     address:
                        name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
               name:Chen Gao
               url:http://orcid.org/0000-0001-9372-8014
               affiliation:
                     name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                     address:
                        name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                        type:PostalAddress
                     type:Organization
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                     address:
                        name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? A systematic review
      description:To provide an overarching evaluation of the value of peritumoral CT radiomics features for predicting the prognosis of non-small cell lung cancer and to assess the quality of the available studies. The PubMed, Embase, Web of Science, and Cochrane Library databases were searched for studies predicting the prognosis in patients with non-small cell lung cancer (NSCLC) using CT-based peritumoral radiomics features. Information about the patient, CT-scanner, and radiomics analyses were all extracted for the included studies. Study quality was assessed using the Radiomics Quality Score (RQS) and the Prediction Model Risk of Bias Assessment Tool (PROBAST). Thirteen studies were included with 2942 patients from 2017 to 2022. Only one study was prospective, and the others were all retrospectively designed. Manual segmentation and multicenter studies were performed by 69% and 46% of the included studies, respectively. 3D-Slicer and MATLAB software were most commonly used for the segmentation of lesions and extraction of features. The peritumoral region was most frequently defined as dilated from the tumor boundary of 15 mm, 20 mm, or 30 mm. The median RQS of the studies was 13 (range 4–19), while all of included studies were assessed as having a high risk of bias (ROB) overall. Peritumoral radiomics features based on CT images showed promise in predicting the prognosis of NSCLC, although well-designed studies and further biological validation are still needed. • Peritumoral radiomics features based on CT images are promising and encouraging for predicting the prognosis of non-small cell lung cancer. • The peritumoral region was often dilated from the tumor boundary of 15 mm or 20 mm because these were considered safe margins. • The median Radiomics Quality Score of the included studies was 13 (range 4–19), and all of studies were considered to have a high risk of bias overall.
      datePublished:2022-10-29T00:00:00Z
      dateModified:2022-10-29T00:00:00Z
      pageStart:2105
      pageEnd:2117
      license:http://creativecommons.org/licenses/by/4.0/
      sameAs:https://doi.org/10.1007/s00330-022-09174-8
      keywords:
         Carcinoma, non-small-cell lung
         Solitary pulmonary nodule
         Prognosis
         Tomography, X-ray computed
         Machine learning
         Imaging / Radiology
         Diagnostic Radiology
         Interventional Radiology
         Neuroradiology
         Ultrasound
         Internal Medicine
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig1_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig2_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig3_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00330-022-09174-8/MediaObjects/330_2022_9174_Fig4_HTML.png
      isPartOf:
         name:European Radiology
         issn:
            1432-1084
         volumeNumber:33
         type:
            Periodical
            PublicationVolume
      publisher:
         name:Springer Berlin Heidelberg
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Linyu Wu
            affiliation:
                  name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                  address:
                     name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                     type:PostalAddress
                  type:Organization
                  name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                  address:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Xinjing Lou
            affiliation:
                  name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                  address:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ning Kong
            affiliation:
                  name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                  address:
                     name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                     type:PostalAddress
                  type:Organization
                  name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                  address:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Maosheng Xu
            affiliation:
                  name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                  address:
                     name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                     type:PostalAddress
                  type:Organization
                  name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                  address:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Chen Gao
            url:http://orcid.org/0000-0001-9372-8014
            affiliation:
                  name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
                  address:
                     name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
                     type:PostalAddress
                  type:Organization
                  name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
                  address:
                     name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:European Radiology
      issn:
         1432-1084
      volumeNumber:33
Organization:
      name:Springer Berlin Heidelberg
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
      address:
         name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
         type:PostalAddress
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
      address:
         name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
         type:PostalAddress
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
      address:
         name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
         type:PostalAddress
      name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
      address:
         name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
         type:PostalAddress
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
      address:
         name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
         type:PostalAddress
      name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
      address:
         name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
         type:PostalAddress
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
      address:
         name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
         type:PostalAddress
      name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
      address:
         name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
         type:PostalAddress
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
      address:
         name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Linyu Wu
      affiliation:
            name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
            address:
               name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
               type:PostalAddress
            type:Organization
            name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
            address:
               name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
               type:PostalAddress
            type:Organization
      name:Xinjing Lou
      affiliation:
            name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
            address:
               name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
               type:PostalAddress
            type:Organization
      name:Ning Kong
      affiliation:
            name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
            address:
               name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
               type:PostalAddress
            type:Organization
            name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
            address:
               name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
               type:PostalAddress
            type:Organization
      name:Maosheng Xu
      affiliation:
            name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
            address:
               name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
               type:PostalAddress
            type:Organization
            name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
            address:
               name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Chen Gao
      url:http://orcid.org/0000-0001-9372-8014
      affiliation:
            name:The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)
            address:
               name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
               type:PostalAddress
            type:Organization
            name:The First School of Clinical Medicine of Zhejiang Chinese Medical University
            address:
               name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
      name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
      name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China
      name:Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
      name:The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China

External Links {🔗}(176)

Analytics and Tracking {📊}

Google Tag Manager

Libraries {📚}

Clipboard.js
Prism.js

CDN Services {📦}

Crossref

4.5s.

LINK . SPRINGER . COM {}