OBJECTIVE: The purpose of this study was to design and use an algorithm for selection of the most appropriate biopsy technique. MATERIALS AND METHODS: An algorithm was designed to maximize the tissue sampling and diagnostic accuracy of musculoskeletal tumor biopsy. We used fine-needle aspiration to sample small ( < 3 cm) soft-tissue masses, an 18-gauge automated Biopty Gun to sample large ( > 3 cm) soft-tissue masses, a bone-cutting core biopsy needle to sample sclerotic bone tumors, and a combination technique to sample lytic bone tumors with an intact bony shell. We reviewed the results of 46 consecutive biopsies obtained with this algorithm. RESULTS: The overall diagnostic accuracy was 96%, with one inadequate biopsy and one inaccurate biopsy. The diagnostic accuracies within subgroups of tumor types were: primary malignant tumors (n = 15), 93%; primary benign tumors (n = 9), 100%; secondary malignant tumors (n = 11), 100%; secondary benign tumors (n = 8), 88%; and infections (n = 3), 100%. CONCLUSION: This algorithm allows selection of the biopsy procedure most likely to safely provide adequate and accurate biopsy samples.
OBJECTIVE: The purpose of this study was to design and use an algorithm for selection of the most appropriate biopsy technique. MATERIALS AND METHODS: An algorithm was designed to maximize the tissue sampling and diagnostic accuracy of musculoskeletal tumor biopsy. We used fine-needle aspiration to sample small ( < 3 cm) soft-tissue masses, an 18-gauge automated Biopty Gun to sample large ( > 3 cm) soft-tissue masses, a bone-cutting core biopsy needle to sample sclerotic bone tumors, and a combination technique to sample lytic bone tumors with an intact bony shell. We reviewed the results of 46 consecutive biopsies obtained with this algorithm. RESULTS: The overall diagnostic accuracy was 96%, with one inadequate biopsy and one inaccurate biopsy. The diagnostic accuracies within subgroups of tumor types were: primary malignant tumors (n = 15), 93%; primary benign tumors (n = 9), 100%; secondary malignant tumors (n = 11), 100%; secondary benign tumors (n = 8), 88%; and infections (n = 3), 100%. CONCLUSION: This algorithm allows selection of the biopsy procedure most likely to safely provide adequate and accurate biopsy samples.
Authors: Charles E Spritzer; P Diana Afonso; Emily N Vinson; James D Turnbull; Karla K Morris; Adam Foye; John F Madden; Kingshuk Roy Choudhury; Phillip G Febbo; Daniel J George Journal: Radiology Date: 2013-10-28 Impact factor: 11.105
Authors: Jan L Gielen; Arthur M De Schepper; Reinoud Blom; Pieter Van Dyck; Jan M L Bosmans; David H Creytens; Jan Veryser; Johan Somville; Paul M Parizel Journal: Skeletal Radiol Date: 2011-05-12 Impact factor: 2.199
Authors: Vishal Hegde; Zachary D C Burke; Howard Y Park; Stephen D Zoller; Daniel Johansen; Benjamin V Kelley; Ben Levine; Kambiz Motamedi; Noah C Federman; Leanne L Seeger; Scott D Nelson; Nicholas M Bernthal Journal: Clin Orthop Relat Res Date: 2018-03 Impact factor: 4.176
Authors: Sina Kasraeian; Daniel C Allison; Elke R Ahlmann; Alexander N Fedenko; Lawrence R Menendez Journal: Clin Orthop Relat Res Date: 2010-11 Impact factor: 4.176