Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer.
Objectives: Compare the performance of zone-specific multi-parametric-MRI (mp-MRI) diagnostic models in prostate cancer detection with experienced radiologists.Methods: A single-centre, IRB approved, prospective STARD compliant 3 T MRI test dataset of 203 patients was generated to test validity and...
| Publicado en: | European Radiology Vol. 29; no. 8; pp. 4150 - 4160 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137304080&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137304080 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2019 vid: 29 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137304080 137304080 NLM30456585 137304080 10.1007/s00330-018-5799-y NLM30456585 137304080 ppf: 4150 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer. aug: au: Dikaios, Nikolaos Giganti, Francesco Sidhu, Harbir S. Johnston, Edward W. Appayya, Mrishta B. Simmons, Lucy Freeman, Alex Ahmed, Hashim U. Atkinson, David Punwani, Shonit affil: Centre for Medical Imaging, University College London, 2nd floor, Charles Bell House, 43-45 Foley Street, W1W 7TS, London, UK sug: subj: Prostatic Neoplasms Pathology Magnetic Resonance Imaging Standards Liver Pathology Magnetic Resonance Imaging Methods Biopsy Methods Human Aged Sensitivity and Specificity ROC Curve Aged, 80 and Over Clinical Competence Standards Middle Age Prospective Studies Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Male ab: Objectives: Compare the performance of zone-specific multi-parametric-MRI (mp-MRI) diagnostic models in prostate cancer detection with experienced radiologists.Methods: A single-centre, IRB approved, prospective STARD compliant 3 T MRI test dataset of 203 patients was generated to test validity and generalisability of previously reported 1.5 T mp-MRI diagnostic models. All patients included within the test dataset underwent 3 T mp-MRI, comprising T2, diffusion-weighted and dynamic contrast-enhanced imaging followed by transperineal template ± targeted index lesion biopsy. Separate diagnostic models (transition zone (TZ) and peripheral zone (PZ)) were applied to respective zones. Sensitivity/specificity and the area under the receiver operating characteristic curve (ROC-AUC) were calculated for the two zone-specific models. Two radiologists (A and B) independently Likert scored test 3 T mp-MRI dataset, allowing ROC analysis for each radiologist for each prostate zone.Results: Diagnostic models applied to the test dataset demonstrated a ROC-AUC = 0.74 (95% CI 0.67-0.81) in the PZ and 0.68 (95% CI 0.61-0.75) in the TZ. Radiologist A/B had a ROC-AUC = 0.78/0.74 in the PZ and 0.69/0.69 in the TZ. Radiologists A and B each scored 51 patients in the PZ and 41 and 45 patients respectively in the TZ as Likert 3. The PZ model demonstrated a ROC-AUC = 0.65/0.67 for the patients Likert scored as indeterminate by radiologist A/B respectively, whereas the TZ model demonstrated a ROC-AUC = 0.74/0.69.Conclusion: Zone-specific mp-MRI diagnostic models demonstrate generalisability between 1.5 and 3 T mp-MRI protocols and show similar classification performance to experienced radiologists for prostate cancer detection. Results also indicate the ability of diagnostic models to classify cases with an indeterminate radiologist score.Key Points: • MRI diagnostic models had similar performance to experienced radiologists for classification of prostate cancer. • MRI diagnostic models may help radiologists classify tumour in patients with indeterminate Likert 3 scores. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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