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Enregistrement W2765933480 · doi:10.1016/j.jdcr.2017.09.008

Quantification of granuloma volume and response to treatment in cutaneous sarcoidosis using 3-dimensional high-frequency ultrasound scan

2017· article· en· W2765933480 sur OpenAlexaboutno aff
Olaf Rodriguez, Megan H. Noe, Chandra M. Sehgal, Susan M. Schultz, Misha Rosenbach

Notice bibliographique

RevueJAAD Case Reports · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueSarcoidosis and Beryllium Toxicity Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSarcoidosisCutaneous SarcoidosisDermatologyGranulomaPulmonologistsPathology

Résumé

récupéré en direct d'OpenAlex

Cutaneous involvement occurs in 25% to 30% of patients with sarcoidosis.1Iannuzzi M.C. Rybicki B.A. Teirstein A.S. Sarcoidosis.N Engl J Med. 2007; 357: 2153-2165Crossref PubMed Scopus (1610) Google Scholar Effective treatment of the disease has historically been challenging given a lack of an objective, reproducible marker of disease activity. Here we present a case using 3-dimensional high-frequency ultrasound (3D HFU) to quantify cutaneous granuloma volume as a measure of disease activity. The Cutaneous Sarcoidosis Activity and Morphology Instrument (CSAMI) is a visual measure of disease activity and damage previously validated by dermatologists, pulmonologists, and rheumatologists.2Yeung H. Farber S. Birnbaum B.K. et al.Reliability and validity of cutaneous sarcoidosis outcome instruments among dermatologists, pulmonologists, and rheumatologists.JAMA Dermatol. 2015; 151: 1317-1322Crossref PubMed Scopus (11) Google Scholar, 3Rosenbach M. Yeung H. Chu E.Y. et al.Reliability and convergent validity of the Cutaneous Sarcoidosis Activity and Morphology Instrument for assessing cutaneous sarcoidosis.JAMA Dermatol. 2013; 149: 550-556Crossref PubMed Scopus (28) Google Scholar Noe et al4Noe M.H. Rodriguez O. Taylor L. et al.High frequency ultrasound: a novel instrument to quantify granuloma burden in cutaneous sarcoidosis.Sarcoidosis Vasc Diffuse Lung Dis. 2017; (In press)Google Scholar report that HFU shows a strong correlation with both the CSAMI clinical score and histopathologic measurements of granuloma volume, suggesting this tool may serve as an objective, noninvasive modality for measuring cutaneous granuloma burden. A woman in her 40s with a history of pulmonary and cutaneous sarcoidosis underwent clinical and 3D HFU assessments of cutaneous sarcoid disease activity of a left dorsal forearm lesion (Fig 1, A) as part of a study at the University of Pennsylvania, using the parameters outlined in a previous study.4Noe M.H. Rodriguez O. Taylor L. et al.High frequency ultrasound: a novel instrument to quantify granuloma burden in cutaneous sarcoidosis.Sarcoidosis Vasc Diffuse Lung Dis. 2017; (In press)Google Scholar The imaging was performed by a broadband 40-MHz transducer (MS-55D; Visualsonics 2100, Toronto, CA). At her initial visit, the patient's clinical lesional CSAMI was 7 (of 15). The 3D HFU images were analyzed through granuloma mapping using a semiautomated wire mesh overlay to outline the granulomatous inflammation visualized on the ultrasound images, and calculated granuloma volume measured 27.50 mm3 (Fig 1, B). The patient was treated with intralesional triamcinolone (10 mg/mL, 0.5 mL total) to this site during this visit. At an 8-week follow-up appointment, the clinical (Fig 1, C) and 3D HFU assessments of cutaneous sarcoid disease activity of the patient's left dorsal forearm lesion were repeated (video available at http://www.jaadcasereports.org). The patient's clinical lesional CSAMI was now 3. 3D HFU volume reconstruction of the lesion of interest was now found to measure 0 mm3. Given there was still some clinically evident erythema, it is possible that the dermal granulomas resolved after injection, with residual epidermal thickening and pink postinflammatory erythema remaining, or that there were persistent small granulomas unable to be measured via this modality. Her disease has remained clinically stable after 15 months. Given the high prevalence of pulmonary involvement in patients with sarcoidosis, measures of active lung disease are typically used to monitor an individual's response to treatment. In the lungs, active granulomas can be difficult to differentiate from residual scarring; therefore, lungs many not be sensitive to changes associated with treatment. The skin, however, represents the ideal organ to monitor response to change because it is easily assessable, and active granulomas can be differentiated from scarring, as demonstrated here. This case further supports the potential utility of HFU as a means of assessing disease activity in cutaneous sarcoidosis, capturing change over time and measuring response to treatment. High-frequency ultrasound systems that operate at 40 MHz are now becoming increasingly available for clinical applications. As opposed to other imaging modalities, such as positron emission tomography/computed tomography (PET/CT), 3D HFU is real-time, less expensive, and without the radiation exposure risks that accompany PET/CT. Previous reports found that HFU assessment of cutaneous granulomas correlates with clinical assessment (CSAMI) and histopathologic measures of granuloma infiltration.4Noe M.H. Rodriguez O. Taylor L. et al.High frequency ultrasound: a novel instrument to quantify granuloma burden in cutaneous sarcoidosis.Sarcoidosis Vasc Diffuse Lung Dis. 2017; (In press)Google Scholar The noninvasive nature and low risks of ultrasonography make this tool a promising instrument to assess granulomatous inflammation over time. The use of 3D HFU seen in this case shows promise for more comprehensive evaluation of granuloma volume and disease activity; further studies are necessary to see if improvements in skin granuloma burden correlate with improvements in systemic disease activity. eyJraWQiOiI4ZjUxYWNhY2IzYjhiNjNlNzFlYmIzYWFmYTU5NmZmYyIsImFsZyI6IlJTMjU2In0.eyJzdWIiOiJiZWNmNmFmYzJkMjhmM2FiMWVhN2Q1Nzg3NjAxNmI0YiIsImtpZCI6IjhmNTFhY2FjYjNiOGI2M2U3MWViYjNhYWZhNTk2ZmZjIiwiZXhwIjoxNjc4MzcxNjI3fQ.K5XRTE6Qp9l0B2BmIle_Yw-c866EMEJJJcDxuYFVYKHBN-f_pGtsBu4AN67qEGMQ6eS75e4HWzqsf3YfzLiDvUSQgMqegjYZ7D3NA3Vau0BGA1YLTepzJqKckOBUVVXzcqIVQEojIMj3eljKAccD_pT8ZqKp2Wxkx8V5PnkldEqombuZf-8d8DdmLwKcyQ2KdGFM0IYBfFmuG22kRB_P9XoDzz-V4Qmm0LoYRI_xE3Czd4pQrmO9dXAujukywuizD9eJRBTEFV2CSI3OeyA0GtOA5rxs5Pzf--1uGx_TpqUzpqyV8ju8BKTcwF-vUHC2Llkh4Bg8gfY6mJIVl_MwJw Download .mp4 (10.35 MB) Help with .mp4 files Video captionVideo of 3D HFU. Left-hand side, visit 1; right-hand side, visit 2. Granulomatous infiltration appears dark on the initial images, contrasting with brighter normal collagen. Posttreatment visit 2 shows complete resolution of hyperechoic granulomatous inflammation after intralesional triamcinolone therapy.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,350
Écart entre enseignants0,301 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2017
Routes d'admission1
Résumé présentoui

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