Impact of Clinical Information on Melanocytic Skin Lesion Pathology Diagnosis: A Scoping Review

被引:0
|
作者
Lai, Belinda [1 ]
Soyer, H. Peter [2 ,3 ]
Zhu, Lin [1 ]
Ferguson, Peter M. [4 ,5 ,6 ,7 ]
O'Brien, Blake [8 ]
Dodds, Tristan [9 ,10 ]
Scolyer, Richard A. [4 ,5 ,6 ,7 ,11 ]
Ferrara, Gerardo [12 ]
Argenziano, Giuseppe [13 ]
Bell, Katy J. L. [1 ]
机构
[1] Univ Sydney, Sydney Sch Publ Hlth, Edward Ford Bldg,A27 Fisher Rd, Sydney, NSW 2050, Australia
[2] Univ Queensland, Frazer Inst, Dermatol Res Ctr, Brisbane, Australia
[3] Princess Alexandra Hosp, Dept Dermatol, Brisbane, Qld, Australia
[4] Royal Prince Alfred Hosp, Tissue Pathol & Diagnost Oncol, Sydney, Australia
[5] NSW Hlth Pathol, Sydney, Australia
[6] Univ Sydney, Melanoma Inst Australia, Sydney, NSW, Australia
[7] Univ Sydney, Fac Med & Hlth, Sydney, Australia
[8] Sullivan Nicolaides Pathol, Brisbane, Qld, Australia
[9] Laverty Pathol, Sydney, NSW, Australia
[10] Macquarie Univ, Sydney, Australia
[11] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia
[12] Ist Nazl Tumori IRCCS Fdn G Pascale, Ist Nazl Tumori, Naples, Italy
[13] Luigi Vanvitelli Univ, Sect Precis Med, Caserta, Italy
基金
英国医学研究理事会;
关键词
BIOPSY REQUISITION FORM; HISTOPATHOLOGIC DIAGNOSIS; DERMATOPATHOLOGISTS; MELANOMA; PROLIFERATIONS; DERMOSCOPY; ACCURACY; TUMORS;
D O I
10.1001/jamadermatol.2024.4281
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Importance There is poor accuracy and reproducibility for the histopathologic diagnosis of melanocytic skin lesions, and the provision of clinical information may improve this. Objective To examine the impact of clinical information on the histopathologic diagnosis of melanocytic skin lesions. Evidence Review PubMed, Embase, and Cochrane Library were searched for new records published from January 2018 to January 2024. References included in the 2018 Cancer Council Australia evidence review were also screened, and forward and backward citation searches were conducted. Findings From 2224 records screened, 162 full-text studies were assessed, and 7 studies were included. Studies included pathologists from Austria, Germany, the US, Italy, the UK, and Australia. Patient populations had a mean age of 43 to 55 years and a proportion of female participants of 23% to 63%. The risk of bias assessment demonstrated that all studies had domains at unclear or high risk of bias. Clinical images increased diagnostic certainty (3 studies) and agreement between pathologists (2 studies) led to diagnostic upgrades in 7.6% to 16.7% of interpretations. Clinical diagnosis on the pathology requisition form reduced the odds of missing a melanoma with progression (1 study), while more clinical elements on the form correlated with higher re-excision rates (1 study). Among patients with distant metastases on long-term follow-up, a prior consensus diagnosis of melanoma was established on histopathology alone. Conclusions and Relevance Providing clinical information to pathologists may improve diagnostic confidence and interobserver agreement and result in upgrading of the histopathologic diagnosis. While providing the clinical diagnosis may prevent missing a progressive melanoma, more research is needed to determine the appropriateness of histopathology upgrading when clinical images are provided and the impacts on patient outcomes.
引用
收藏
页码:1345 / 1352
页数:8
相关论文
共 50 条
  • [31] A scoping review of clinical practice guidelines for the diagnosis of primary spontaneous pneumothorax
    Butler, Holly
    Chrisanthopoulos, Victoria
    Harous, Andreas
    Eattimoottil, Stalin Saji
    Senthilkumaran, Darshna
    Tanious, Philopater
    Wang, Bing
    Arruzza, Elio
    JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES, 2022, 53 (04) : 728 - 736
  • [32] Diagnosis of Rare Diseases: a scoping review of clinical decision support systems
    Jannik Schaaf
    Martin Sedlmayr
    Johanna Schaefer
    Holger Storf
    Orphanet Journal of Rare Diseases, 15
  • [33] Etiology, Clinical Features, and Diagnosis of Vulvar Lichen Sclerosus: A Scoping Review
    Singh, Nilanchali
    Ghatage, Prafull
    OBSTETRICS AND GYNECOLOGY INTERNATIONAL, 2020, 2020
  • [34] Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: Nurugo™ Derma Smartphone Microscope as a Possible New Tool in Daily Clinical Practice
    Veronese, Federica
    Tarantino, Vanessa
    Zavattaro, Elisa
    Biacchi, Francesca
    Airoldi, Chiara
    Salvi, Massimo
    Seoni, Silvia
    Branciforti, Francesco
    Meiburger, Kristen M.
    Savoia, Paola
    DIAGNOSTICS, 2022, 12 (06)
  • [35] A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report
    Manousaki, AG
    Manios, AG
    Tsompanaki, EI
    Panayiotides, JG
    Tsiftsis, DD
    Kostaki, AK
    Tosca, AD
    INTERNATIONAL JOURNAL OF DERMATOLOGY, 2006, 45 (04) : 402 - 410
  • [36] Clinical Parameters of the Speech-Language Pathology Assessment of the Chronic Cough: A Scoping Review
    Dornelas, Rodrigo
    Casmerides, Maria Christina Bussamara
    da Silva, Rebeca Cardoso
    Souza, Maria Victoria dos Anjos
    Pereira, Lucas Tito
    Ribeiro, Vanessa Veis
    Behlau, Mara
    JOURNAL OF VOICE, 2024, 38 (03) : 703 - 710
  • [37] The impact of multi-class information decoupling in latent space on skin lesion segmentation
    Zhang, Qibo
    Li, Chengfei
    Zuo, Song
    Cai, Yufei
    Xu, Ao
    Huang, Haijian
    Zhou, Shiqin
    NEUROCOMPUTING, 2025, 617
  • [38] Getting the whole picture on melanoma diagnosis: investigating the effects of clinical images and dermoscopy report on the histopathology diagnosis of melanocytic skin lesions
    Lai, Belinda
    O'Brien, Blake
    Dodds, Tristan
    Ferguson, Peter
    Scolyer, Richard
    Ferrara, Gerardo
    Argenziano, Giuseppe
    Soyer, H. Peter
    Bell, Katy
    BRITISH JOURNAL OF DERMATOLOGY, 2022, 187 : 143 - 143
  • [39] Impact of pathology slide review on clinical practice in an oncology center
    Émile, JF
    Di Palma, M
    Musset, M
    Sebagh, M
    Auriault, ML
    Misset, JL
    Reynès, M
    ANNALES DE PATHOLOGIE, 2000, 20 (04) : 304 - 307
  • [40] Clinical and dermoscopy image-based deep learning models for skin lesion diagnosis in clinical practice
    Oyedeji, Mojeed Opeyemi
    NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS, 2024, 13 (01):