المؤلفون: Blay, JY, Gelderblom, H, Rutkowski, P, Wagner, AJ, van de Sande, M, Stacchiotti, S, Le Cesne, A, Palmerini, E, Vallee, M, Harrow, B, Becker, C, Jarecha, R, Sharma, M, Tap, WD

المصدر: Value in Health ; volume 25, issue 12, page S15 ; ISSN 1098-3015

مصطلحات موضوعية: Public Health, Environmental and Occupational Health, Health Policy

الإتاحة: https://doi.org/10.1016/j.jval.2022.09.075Test
https://api.elsevier.com/content/article/PII:S109830152202277X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S109830152202277X?httpAccept=text/plainTest

المؤلفون: Blay, J-Y., Gelderblom, H., Rutkowski, P., Wagner, A., van de Sande, M., Falcon Gonzalez, A., Stacchiotti, S., Le Cesne, A., Alcindor, T., Serrano, C., Palmerini, E., Ravi, V., Casado Herraez, A., Seddon, B., Vallee, M., Jarecha, R., Sharma, M., Ruiz-Soto, R., Sherman, M.L., Tap, W.D.

المصدر: Annals of Oncology ; volume 33, page S1236-S1237 ; ISSN 0923-7534

مصطلحات موضوعية: Oncology, Hematology

الإتاحة: https://doi.org/10.1016/j.annonc.2022.07.1612Test
https://api.elsevier.com/content/article/PII:S0923753422034639?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0923753422034639?httpAccept=text/plainTest

المؤلفون: Athelogou, M., Kim, H.J., Dima, A., Obuchowski, N., Peskin, A., Gavrielides, M.A., Petrick, N., Saiprasad, G., Colditz Colditz, D., Beaumont, H., Oubel, E., Tan, Y., Zhao, B., Kuhnigk, J.-M., Moltz, J.H., Orieux, G., Gillies, R.J., Gu, Y., Mantri, N., Goldmacher, G., Zhang, L., Vega, E., Bloom, M., Jarecha, R., Soza, G., Tietjen, C., Takeguchi, T., Yamagata, H., Peterson, S., Masoud, O., Buckler, A.J.

الوقت: 615

الوصف: S.940-952 ; Rationale and Objectives Quantifying changes in lung tumor volume is important for diagnosis, therapy planning, and evaluation of response to therapy. The aim of this study was to assess the performance of multiple algorithms on a reference data set. The study was organized by the Quantitative Imaging Biomarker Alliance (QIBA). Materials and Methods The study was organized as a public challenge. Computed tomography scans of synthetic lung tumors in an anthropomorphic phantom were acquired by the Food and Drug Administration. Tumors varied in size, shape, and radiodensity. Participants applied their own semi-automated volume estimation algorithms that either did not allow or allowed post-segmentation correction (type 1 or 2, respectively). Statistical analysis of accuracy (percent bias) and precision (repeatability and reproducibility) was conducted across algorithms, as well as across nodule characteristics, slice thickness, and algorithm type. Results Eighty-four percent of volume measurements of QIBA-compliant tumors were within 15% of the true volume, ranging from 66% to 93% across algorithms, compared to 61% of volume measurements for all tumors (ranging from 37% to 84%). Algorithm type did not affect bias substantially; however, it was an important factor in measurement precision. Algorithm precision was notably better as tumor size increased, worse for irregularly shaped tumors, and on the average better for type 1 algorithms. Over all nodules meeting the QIBA Profile, precision, as measured by the repeatability coefficient, was 9.0% compared to 18.4% overall. Conclusion The results achieved in this study, using a heterogeneous set of measurement algorithms, support QIBA quantitative performance claims in terms of volume measurement repeatability for nodules meeting the QIBA Profile criteria. ; 23 ; Nr.8

العلاقة: Academic radiology; https://publica.fraunhofer.de/handle/publica/248173Test

الإتاحة: https://doi.org/10.1016/j.acra.2016.02.018Test
https://publica.fraunhofer.de/handle/publica/248173Test

المؤلفون: Buckler, A.J., Danagoulian, J., Johnson, K., Peskin, A., Gavrielides, M.A., Petrick, N., Obuchowski, N.A., Beaumont, H., Hadjiiski, L., Jarecha, R., Kuhnigk, J.M., Mantri, N., McNitt-Gray, M., Moltz, J.H., Nyiri, G., Peterson, S., Terve, P., Tietjen, C., Lavante, E. von, Ma, X.N., St Pierre, S., Athelogou, M.

الوقت: 615

الوصف: S.1393-1408 ; Rationale and objectives: Tumor volume change has potential as a biomarker for diagnosis, therapy planning, and treatment response. Precision was evaluated and compared among semiautomated lung tumor volume measurement algorithms from clinical thoracic computed tomography data sets. The results inform approaches and testing requirements for establishing conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Computed Tomography Volumetry Profile. Materials and Methods: Industry and academic groups participated in a challenge study. Intra-algorithm repeatability and inter-algorithm reproducibility were estimated. Relative magnitudes of various sources of variability were estimated using a linear mixed effects model. Segmentation boundaries were compared to provide a basis on which to optimize algorithm performance for developers. Results: Intra-algorithm repeatability ranged from 13% (best performing) to 100% (least performing), with most algorithms demonstrating improved repeatability as the tumor size increased. Inter-algorithm reproducibility was determined in three partitions and was found to be 58% for the four best performing groups, 70% for the set of groups meeting repeatability requirements, and 84% when all groups but the least performer were included. The best performing partition performed markedly better on tumors with equivalent diameters greater than 40 mm. Larger tumors benefitted by human editing but smaller tumors did not. One-fifth to one-half of the total variability came from sources independent of the algorithms. Segmentation boundaries differed substantially, not ony in overall volume but also in detail. Conclusions: Nine of the 12 participating algorithms pass precision requirements similar to what is indicated in the QIBA Profile, with the caveat that the present study was not designed to explicitly evaluate algorithm profile conformance. Change in tumor volume can be measured with confidence to within +/- 14% using any of these nine algorithms on tumor sizes ...

العلاقة: Academic radiology; https://publica.fraunhofer.de/handle/publica/242183Test

الإتاحة: https://doi.org/10.1016/j.acra.2015.08.007Test
https://publica.fraunhofer.de/handle/publica/242183Test