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Enregistrement W2610117014 · doi:10.1213/ane.0000000000002083

Waldman’s Comprehensive Atlas of Diagnostic Ultrasound of Painful Conditions

2017· article· en· W2610117014 sur OpenAlexaffabout
Anuj Bhatia, Rajendra Kumar Sahoo

Notice bibliographique

RevueAnesthesia & Analgesia · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueShoulder Injury and Treatment
Établissements canadiensToronto Western HospitalUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineModality (human–computer interaction)UltrasoundMagnetic resonance imagingPalpationModalitiesMedical physicsRadiologyFluoroscopyFocused ultrasoundDiagnostic ultrasoundArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

There has been an explosion of interest in the use of ultrasound (US) as an imaging modality to aid in the diagnosis of, and guide interventional treatments for, painful conditions. Both traditional (eg, palpation or anatomic landmarks and fluoroscopy) and advanced imaging (eg, computed tomography [CT] and magnetic resonance imaging [MRI]) modalities are being replaced by US, a modality that provides accuracy and safety while reducing expenditure and avoiding exposure to radiation. US is also portable, so allows clinicians to use it as an extension of their examination in the clinic or the bedside (point of care), resulting in a shorter interval between diagnosis and treatment. Finally, the ability to perform dynamic imaging with US, especially of the musculoskeletal and peripheral nervous systems, is a significant advantage over static imaging modalities such as CT and MRI. The increasing awareness of the potential of US for assessing and treating pain syndromes is reflected in the recent publication of several excellent textbooks and atlases. Although only a few of these tomes have focused on the role of US as a diagnostic tool, Ultrasound of the Musculoskeletal System by Stefano Bianchi and Carlo Martinoli1 (Springer) and Atlas of Ultrasound-Guided Procedures in Interventional Pain Management by Samer N. Narouze2 are both worth mentioning here. Over the years, Dr Waldman has contributed several books on the diagnosis and interventional treatment of pain syndromes. Waldman’s Comprehensive Atlas of Diagnostic Ultrasound of Painful Conditions reflects his experience in this field. There are several excellent features of this book that are being reviewed. These include extensive line drawings, anatomic sections, and CT and MRI scans correlated with US images that will help both the novice and experienced clinician to understand the anatomy and pathology of structures of interest. The positioning of US transducers is often shown next to the US images. This is helpful because US is a dynamic, user-dependent modality and it is important to recognize the importance of appropriate scanning technique. This atlas is an ambitious attempt to cover the vast spectrum of diagnoses associated with pain conditions. The book covers pain syndromes expansively over 137 chapters, 1100 pages, and more than 1900 US images. It is divided into sections based on anatomical regions of the body with the subsections devoted to common structures involved in pain syndromes. Images from several other books and publications are also featured within the chapters. This helps expand the base of “contributors” to this book, but it also results in inconsistent style and quality of images. Other useful features include a hierarchical approach with details about the presentation and physical examination of various pain syndromes preceding images from US and other modalities. Each chapter is divided into sections on anatomy, clinical presentations, and US scanning technique. The last section (“Clinical Pearls”) at the end of each chapter includes pertinent information that may explain patients’ symptoms, and it should help readers avoid the pitfalls of tunnel vision in clinical encounters. We have a few minor criticisms of this otherwise excellent contribution to the field of diagnostic US for evaluating pain. Some of the anatomic photographs featured in this atlas are difficult to understand because of lack of orientation (cephalad, caudal, medial, and lateral) for the reader. A related criticism is that the US images have superimposed labeling or coloring that makes it hard to appreciate the sonoanatomy (examples include the chapters on nerves innervating the foot and Baker’s cyst), especially for small structures such as peripheral nerves. Providing an unlabeled image with a line diagram next to it explaining the visualized structures may be a feature to consider for future editions of this book. We also wondered whether the radiographs and histologic sections provided in various chapters were necessary, such as the slides in the chapter on adhesive capsulitis of the shoulder. Finally, this atlas comprehensively covers pain syndromes related to musculoskeletal and nervous systems, but pain originating from pathology in the spine is not addressed in detail. A suggestion for future editions would be to include detailed chapters on the sonographic appearance of arthritis of the spinal facet joints. Another area that should be addressed is the use of US for evaluating trigger points in muscles. There has been increased interest in the use of sonomorphology and elastography for this common pain condition. Readers also need to be aware that with a weight of over 14 pounds, this is a book for the library or the study room that may not be easy to carry around, but readers have the option of purchasing, for example, a Nook or Kindle version of the book. Overall, Waldman’s Comprehensive Atlas of Diagnostic Ultrasound of Painful Conditions is an excellent contribution to the ongoing discussion of the role of US in enhancing diagnostic ability for practitioners who are involved in caring for patients with pain. Anuj Bhatia, MBBS, MD, FRCA, FRCPC, FIPP, FFPMRCA, EDRA, CIPSDepartment of Anesthesia and Pain ManagementInstitute of Health Policy Management and EvaluationUniversity Health Network-Toronto Western HospitalUniversity of TorontoToronto, Ontario, Canada[email protected] Rajendra Sahoo, MBBS, MD, CIPSDepartment of Anesthesia and Pain ManagementUniversity Health Network-Toronto Western HospitalUniversity of TorontoToronto, Ontario, Canada

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)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,054
Score d'incertitude au seuil0,181

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0080,005
Études des sciences et des technologies0,0010,002
Communication savante0,0030,004
Science ouverte0,0010,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0540,032

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 Opus0,028
Tête enseignante GPT0,318
Écart entre enseignants0,291 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations346
Publié2017
Routes d'admission2
Résumé présentoui

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