Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology.

* This paper reports the results of a collaborative lung cancer study between City of Hope Cancer Center (Duarte, California) and CIRECA, LLC (Cambridge, Massachusetts), comprising 328 samples from 249 patients, that used an optical technique known as spectral histopathology (SHP) for tissue classif...

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Publicado en:Archives of Pathology & Laboratory Medicine Vol. 143; no. 2; pp. 157 - 174
Autores principales: Akalin, Ali, Ergin, Ayşegül, Remiszewski, Stanley, Xinying Mu, Raz, Dan, Diem, Max
Formato: pictorial review tables/charts Journal Article
Publicado: College of American Pathologists Feb2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2019
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        atl: Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology.
      aug:
        au:
          Akalin, Ali
          Ergin, Ayşegül
          Remiszewski, Stanley
          Xinying Mu
          Raz, Dan
          Diem, Max
        affil: Department of Pathology, University of Massachusetts Medical School, Worcester
      sug:
        subj:
          Lung Neoplasms Diagnosis
          Lung Neoplasms Pathology
          Histological Techniques Methods
          Interrater Reliability
          Sensitivity and Specificity
          Immunohistochemistry
          Adenocarcinoma Classification
          Carcinoma, Squamous Cell Classification
          Early Detection of Cancer
          Mass Spectrometry Methods
          Biochemical Phenomena
      ab: * This paper reports the results of a collaborative lung cancer study between City of Hope Cancer Center (Duarte, California) and CIRECA, LLC (Cambridge, Massachusetts), comprising 328 samples from 249 patients, that used an optical technique known as spectral histopathology (SHP) for tissue classification. Because SHP is based on a physical measurement, it renders diagnoses on a more objective and reproducible basis than methods based on assessing cell morphology and tissue architecture. This report demonstrates that SHP provides distinction of adenocarcinomas from squamous cell carcinomas of the lung with an accuracy comparable to that of immunohistochemistry and highly reliable classification of adenosquamous carcinoma. Furthermore, this report shows that SHP can be used to resolve interobserver differences in lung pathology. Spectral histopathology is based on the detection of changes in biochemical composition, rather than morphologic features, and is therefore more akin to methods such as matrix-assisted laser desorption ionization time-of-flight mass spectrometry imaging. Both matrixassisted laser desorption ionization time-of-flight mass spectrometry and SHP imaging modalities demonstrate that changes in tissue morphologic features observed in classical pathology are accompanied by, and may be correlated to, changes in the biochemical composition at the cellular level. Thus, these imaging methods provide novel insight into biochemical changes due to disease.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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