{
  "id": 169144,
  "title": "Competing Imaging Techniques?",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/169144",
  "author_name": "",
  "post_date": "2020-07-23T03:31:48.285045200Z",
  "votes": 29,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Unlike @sandorkonya I am not a domain expert, and he has provided us with wonderful insight into the work. However I did run across this <a href=\"https://www.atsjournals.org/doi/10.1164/rccm.201803-0444PP\">article</a>, which I thought succinctly describes the most commonly applied techniques to process CT imaging data to obtain a prognosis for IPF.</p>\n\n<p>In summary they include:</p>\n\n<ol>\n<li>Histogram/kurtosis analysis</li>\n<li>Adaptive Multiple Feature Method (AMFM)</li>\n<li>Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER)</li>\n<li>Quantitative Lung Fibrosis (QLF)</li>\n<li>Data-Driven Textural Analysis (DTA)</li>\n<li>Functional Respiratory Imaging (<em>probably not applicable</em>)</li>\n</ol>\n\n<p>Other techniques include:\n1. <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519024/\">Quantifying lung vessel morphology</a></p>\n\n<p>A more indepth description of how CALIPER works is <a href=\"https://erj.ersjournals.com/content/49/1/1601011\">here</a> (under the section <strong>CALIPER CT evaluation</strong>)</p>",
  "messages": [
    {
      "id": "940591",
      "postDate": "07/23/2020 03:31:48",
      "content": "<p>Unlike @sandorkonya I am not a domain expert, and he has provided us with wonderful insight into the work. However I did run across this <a href=\"https://www.atsjournals.org/doi/10.1164/rccm.201803-0444PP\">article</a>, which I thought succinctly describes the most commonly applied techniques to process CT imaging data to obtain a prognosis for IPF.</p>\n\n<p>In summary they include:</p>\n\n<ol>\n<li>Histogram/kurtosis analysis</li>\n<li>Adaptive Multiple Feature Method (AMFM)</li>\n<li>Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER)</li>\n<li>Quantitative Lung Fibrosis (QLF)</li>\n<li>Data-Driven Textural Analysis (DTA)</li>\n<li>Functional Respiratory Imaging (<em>probably not applicable</em>)</li>\n</ol>\n\n<p>Other techniques include:\n1. <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519024/\">Quantifying lung vessel morphology</a></p>\n\n<p>A more indepth description of how CALIPER works is <a href=\"https://erj.ersjournals.com/content/49/1/1601011\">here</a> (under the section <strong>CALIPER CT evaluation</strong>)</p>",
      "rawMarkdown": "Unlike @sandorkonya I am not a domain expert, and he has provided us with wonderful insight into the work. However I did run across this [article](https://www.atsjournals.org/doi/10.1164/rccm.201803-0444PP), which I thought succinctly describes the most commonly applied techniques to process CT imaging data to obtain a prognosis for IPF.\n\nIn summary they include:\n\n1. Histogram/kurtosis analysis\n1. Adaptive Multiple Feature Method (AMFM)\n1. Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER)\n1. Quantitative Lung Fibrosis (QLF)\n1. Data-Driven Textural Analysis (DTA)\n1. Functional Respiratory Imaging (*probably not applicable*)\n\nOther techniques include:\n1. [Quantifying lung vessel morphology](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519024/)\n\nA more indepth description of how CALIPER works is [here](https://erj.ersjournals.com/content/49/1/1601011) (under the section **CALIPER CT evaluation**)",
      "votes": null
    },
    {
      "id": "941363",
      "postDate": "07/23/2020 07:27:44",
      "content": "<p><a href=\"/jjinho\">@jjinho</a> nice find!</p>",
      "rawMarkdown": "jjinho nice find!",
      "votes": null
    },
    {
      "id": "942848",
      "postDate": "07/24/2020 03:27:51",
      "content": "<p>Amazing. Thanks at <a href=\"/jjinho\">@jjinho</a> </p>",
      "rawMarkdown": "Amazing. Thanks at @jjinho",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 941363,
      "author_name": "sandorkonya",
      "author_url": "",
      "post_date": "07/23/2020 07:27:44",
      "content": "<p><a href=\"/jjinho\">@jjinho</a> nice find!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 942848,
      "author_name": "vivekgopalramaswamy",
      "author_url": "",
      "post_date": "07/24/2020 03:27:51",
      "content": "<p>Amazing. Thanks at <a href=\"/jjinho\">@jjinho</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "940591": "Unlike @sandorkonya I am not a domain expert, and he has provided us with wonderful insight into the work. However I did run across this [article](https://www.atsjournals.org/doi/10.1164/rccm.201803-0444PP), which I thought succinctly describes the most commonly applied techniques to process CT imaging data to obtain a prognosis for IPF.\n\nIn summary they include:\n\n1. Histogram/kurtosis analysis\n1. Adaptive Multiple Feature Method (AMFM)\n1. Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER)\n1. Quantitative Lung Fibrosis (QLF)\n1. Data-Driven Textural Analysis (DTA)\n1. Functional Respiratory Imaging (*probably not applicable*)\n\nOther techniques include:\n1. [Quantifying lung vessel morphology](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519024/)\n\nA more indepth description of how CALIPER works is [here](https://erj.ersjournals.com/content/49/1/1601011) (under the section **CALIPER CT evaluation**)",
    "941363": "jjinho nice find!",
    "942848": "Amazing. Thanks at @jjinho"
  },
  "source": "meta"
}