2017
DOI: 10.1016/j.rmed.2017.07.007
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Unclassifiable-interstitial lung disease: Outcome prediction using CT and functional indices

Abstract: In uILD patients, CPI, traction bronchiectasis severity and PA diameter independently predicted outcome at baseline. Increasing fibrosis extent measured by CALIPER was the most powerful index of outcome regardless of baseline disease severity and strongly predicted outcome in patients with marginal FVC declines.

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Cited by 48 publications
(35 citation statements)
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“…In nearly all cases, high-resolution computed tomography (HRCT) is the primary tool for diagnosis [5]. HRCT (in particular, the fibrosis score) can also help determine the prognosis in ILDs, and quantitative computed tomography (CT) analysis may be useful for evaluating disease progression [17][18][19] (the article by WALSH et al [20] in this issue of the European Respiratory Review provides more detail on imaging in fibrosing ILDs that may present a progressive phenotype). ILD diagnoses should be categorised as confident, provisional or unclassifiable depending on the level of diagnostic confidence.…”
Section: Diagnostic Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In nearly all cases, high-resolution computed tomography (HRCT) is the primary tool for diagnosis [5]. HRCT (in particular, the fibrosis score) can also help determine the prognosis in ILDs, and quantitative computed tomography (CT) analysis may be useful for evaluating disease progression [17][18][19] (the article by WALSH et al [20] in this issue of the European Respiratory Review provides more detail on imaging in fibrosing ILDs that may present a progressive phenotype). ILD diagnoses should be categorised as confident, provisional or unclassifiable depending on the level of diagnostic confidence.…”
Section: Diagnostic Methodsmentioning
confidence: 99%
“…Patients with unclassifiable IIP and HRCT features suggesting fibrosis (a high fibrosis score, the presence of honeycombing or the presence of UIP or a possible UIP pattern) may have a poor prognosis, similar to patients with IPF [17]. The extent of fibrosis, which can be measured by quantitative CT analysis, may help to predict outcomes in patients with unclassifiable IIP [19].…”
Section: Diagnostic Methodsmentioning
confidence: 99%
“…This could be particularly helpful in some non-IPF-PF, where it can be particularly difficult to visually distinguish ground-glass opacities from fine reticulation. Such technology may be of particular benefit in unclassifiable ILD [83]. Other than the SLS studies, current clinical trials for non-IPF-PF have not yet included change in automated/ computer-generated quantitative CT ILD score as outcome measures, although this is likely to change in the future as more information about this technology becomes available, and depending on the findings of the SLS III study.…”
Section: Rationale For Antifibrotic Medications In Non-ipf-pfmentioning
confidence: 99%
“…The proportion of ILD patients who remain unclassifiable may be lower in cohorts that have undergone a multidisciplinary discussion [13], and is particularly high (up to 45%) in an elderly ILD population [25]. [26][27][28][29][30]. Some studies report a balanced sex distribution [2,26], and others either a male [12 , [26][27][28][29][30].…”
Section: Key Pointsmentioning
confidence: 99%
“…[26][27][28][29][30]. Some studies report a balanced sex distribution [2,26], and others either a male [12 , [26][27][28][29][30]. A subgroup of patients with unclassifiable ILD have autoimmune features but cannot be assigned a specific CTD diagnosis, with a proposal that these patients be labeled as having interstitial pneumonia with autoimmune features [31].…”
Section: Key Pointsmentioning
confidence: 99%