Lung nodules: improved detection with software that suppresses the rib and clavicle on chest radiographs.

Purpose: To demonstrate possible superiority in the performance of a radiologist who is tasked with detecting actionable nodules and aided by the bone suppression and soft-tissue visualization algorithm of a new software program that produces a modified image by suppressing the ribs and clavicles, f...

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Publicado en:Radiology Vol. 260; no. 1; pp. 265 - 274
Autores principales: Freedman MT, Lo SC, Seibel JC, Bromley CM, Freedman, Matthew Thomas, Lo, Shih-Chung Benedict, Seibel, John C, Bromley, Christina M
Formato: research randomized controlled trial Journal Article
Publicado: Wolters Kluwer Health 2011 Jul
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2011 Jul
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      pub: Wolters Kluwer Health
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        atl: Lung nodules: improved detection with software that suppresses the rib and clavicle on chest radiographs.
      aug:
        au:
          Freedman MT
          Lo SC
          Seibel JC
          Bromley CM
          Freedman, Matthew Thomas
          Lo, Shih-Chung Benedict
          Seibel, John C
          Bromley, Christina M
        affil: Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, 3800 Reservoir Rd NW, Room S150, Washington, DC 20057-1465, USA. Freedmmt@georgetown .edu
      sug:
        subj:
          Clavicle Radiography
          Lung Neoplasms Radiography
          Radiographic Image Enhancement Methods
          Radiography, Thoracic Methods
          Ribs Radiography
          Software
          Aged
          Algorithms
          Female
          Human
          Male
          Middle Age
          Randomized Controlled Trials
          Reproducibility of Results
          Sensitivity and Specificity
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Purpose: To demonstrate possible superiority in the performance of a radiologist who is tasked with detecting actionable nodules and aided by the bone suppression and soft-tissue visualization algorithm of a new software program that produces a modified image by suppressing the ribs and clavicles, filtering noise, and equalizing the contrast in the area of the lungs. Materials and Methods: The study and use of anonymized and deidentified data received approval from the MedStar-Georgetown University Oncology Institutional Review Board. Informed consent was obtained from 15 study radiologists. The study radiologists participated as observers in a reader study of 368 patients in an approximately 2:1 cancer-free-to-cancer ratio. The localized receiver operating characteristic (LROC) method was used for analyses. Images were rerandomized for each radiologist. Each patient image was sequentially read, first with the standard radiograph and then with the software-aided image. Normal studies were confirmed with computed tomography (CT), follow-up, and/or panel consensus. Results: Each reader and the combined scores of the 15 readers showed improvement. The area under the combined LROC curve increased significantly from 0.460 unaided to 0.558 aided by visualization software (P = .0001). When measured according to the reader's indication that a case should be sent or not sent for CT or biopsy, sensitivity for cancer detection increased from 49.5% unaided to 66.3% aided by software (P < .0001); specificity decreased from 96.1% to 91.8% (P = .004). Seventy-four percent of the aided detections occurred in cancers with 70% or greater overlap of the bone and the nodule. Conclusion: The radiologists using visualization software significantly increased their detection of lung cancers and benign nodules.
      pubtype: Academic Journal
      doctype:
        research
        randomized controlled trial
        Journal Article
      ougenre: Article
    language: English
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