Assessment of Therapy Responses and Prediction of Survival in Malignant Pleural Mesothelioma Through Computer-Aided Volumetric Measurement on Computed Tomography Scans

Liu, Fan; Zhao, Binsheng; Krug, Lee M.; Ishill, Nicole; Lim, Remy; Guo, Pengcheng; Gorski, Matthew; Flores, Raja M.; Moskowitz, Chaya S.; Rusch, Valerie W.; Schwartz, Lawrence H.

doi:10.1097/jto.0b013e3181dd0ef1

Cited by 84 publications

(52 citation statements)

References 44 publications

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“…RECIST defined response rates do not necessarily correlate with outcome and survival [5]. We undertook the present study to evaluate whether a new systematic, imaging interpretation paradigm, QVS, could perform better than conventional RECIST scoring in assessing patient outcomes in metastatic melanoma.…”

Section: Introductionmentioning

confidence: 98%

Quantified Visual Scoring of Metastatic Melanoma Patient Treatment Response Using Computed Tomography: Improving on the Current Standard

et al. 2011

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To assess whether quantitative visual scoring (QVS) is a better early predictor of progression-free survival (PFS) in patients on chemotherapy for metastatic melanoma using CT than the currently used Response Evaluation Criteria in Solid Tumors (RECIST) standard. Retrospective evaluation of 65 consecutive patients with metastatic melanoma on treatment who had a baseline and follow-up CT after two cycles of therapy. QVS was used to code imaging findings on the radiology reports considering size change, brain metastases, new lesions, mixed lesion response, and the number of organ systems involved. RECIST 1.1 criteria placed patients in the progressive disease, stable disease, or partial response groups. Multiple regression analysis was used to correlate the various independent variables with PFS. The Cox hazard proportions ratio, median survival, and Kaplan-Meier curves of the different prognostic groups were calculated. QVS of size change was found more sensitive in detecting patients deteriorating (57.1% versus 37.5%) or improving (23.8% versus 10.7%), more correlated with the median PFS for the deteriorating (1.8 versus 1.7 months), stable (5.6 versus 4.0 month), and improving (8.3 versus 5.5 months) categories and more predictive of PFS (Cox hazard proportion ratio of 3.070 versus 1.860) than RECIST 1.1 categorization. Multiple regression analysis demonstrated QVS of lesion size correlated most closely with PFS among the variables assessed (r = 0.519, p < 0.0001). QVS in this study was superior to standard RECIST categorization in terms of discriminating treated metastatic melanoma patients likely to have longer PFS.

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Section: Introductionmentioning

confidence: 98%

Quantified Visual Scoring of Metastatic Melanoma Patient Treatment Response Using Computed Tomography: Improving on the Current Standard

et al. 2011

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“…Other modalities, such as MRI (24) and 18 F-FDG PET/ CT (22,36,44) have been successfully used to measure tumor volume in MPM ( Table 1). For MRI, tumor segmentation has been performed using a HASTE (halfFourier single-shot fast spin-echo) sequence, but this can be limited by signal inhomogeneity and motion artifacts, with a segmentation time of 10 minutes described per patient (45).…”

Section: Measurement Of Tumor Volume On Mri and Pet/ctmentioning

confidence: 99%

Volumetric assessment in malignant pleural mesothelioma

Murphy

Gill

2017

Ann. Transl. Med.

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Malignant pleural mesothelioma (MPM) is a highly malignant pleural neoplasm with a dismal prognosis. Multimodality approach including surgery and chemotherapy are utilized to treat patients with resectable disease. Clinical staging allows for selection of patients for treatment strategies, but has not been found to be prognostic and is plagued by high interobserver variability. Tumor volume measurement on cross-sectional imaging has emerged as a potential quantitative tool with prognostic significance. This review focuses on volumetric assessment from cross-sectional imaging (CT, MRI, 18 F-FDG PET/CT) and the potential prognostic benefit and applications.

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“…They do not account for anisotropic tumor growth which might lead to different assessment of tumor response [4,20,21]. Recent studies support the evidence that volumetric measurements might improve the assessment of tumor growth [22,23]. Still, until today there are no guidelines for assessing tumor growth and therapy response through segmentation and volumetry.…”

mentioning

confidence: 99%

Effect of Kernels Used for the Reconstruction of MDCT Datasets on the Semi-Automated Segmentation and Volumetry of Liver Lesions

Santos

Kloeckner

Wunder

et al. 2014

Fortschr Röntgenstr

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Purpose: To evaluate the effect of different reconstruction kernels on the semi-automated segmentation of liver lesions in MDCT. Materials and Methods: A total 62 liver lesions were measured by three independent radiologists with the semi-automated segmentation software Oncology-Prototype (Fraunhofer MEVIS, Siemens Healthcare, Germany) using MDCT datasets (3-mm slice thickness, 2-mm increment) reconstructed with standard, soft and detailed kernels (Philips B, A and D). To ensure objective measurements, only lesions with satisfactory initial segmentation were included, and manual correction was not used. The effective diameter and volume were recorded for each lesion. Segmentation in the soft and detailed kernel datasets was performed by copying the initial seed's position from the standard kernel dataset. Results: The mean effective lesion diameter was 19.9???9.7?mm using the standard kernel. Comparing the three kernels, no significant differences were found. The mean difference was 1?% ??6?% for the standard kernel compared to the soft kernel, 3?% ??13?% for the standard kernel vs. the detailed kernel and 2?% ??9?% for the soft kernel compared to the detailed kernel. The intra-class correlation coefficients were >?0.96 in all cases. Conclusion: The semi-automated segmentation and volumetry of liver lesions shows reliable measurements regardless of the kernel used for reconstruction of the MDCT dataset. Key Points: ??Semi-automated segmentation and volumetry of liver lesions is reliable regardless of the kernel used for reconstruction of the MDCT dataset. ??Until today the gold standard for the evaluation of tumor response has been unidimensional manual measurement. ??Volumetric measurements could improve the assessment of tumor growth. Citation Format: ??Pinto dos Santos D, Kl?ckner R, Wunder K et?al. Effect of Kernels Used for the Reconstruction of MDCT Datasets on the Semi-Automated Segmentation and Volumetry of Liver Lesions. Fortschr R?ntgenstr 2014; 186: 780???784

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Assessment of Therapy Responses and Prediction of Survival in Malignant Pleural Mesothelioma Through Computer-Aided Volumetric Measurement on Computed Tomography Scans

Cited by 84 publications

References 44 publications

Quantified Visual Scoring of Metastatic Melanoma Patient Treatment Response Using Computed Tomography: Improving on the Current Standard

Quantified Visual Scoring of Metastatic Melanoma Patient Treatment Response Using Computed Tomography: Improving on the Current Standard

Volumetric assessment in malignant pleural mesothelioma

Effect of Kernels Used for the Reconstruction of MDCT Datasets on the Semi-Automated Segmentation and Volumetry of Liver Lesions

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