AIMS: To establish the relation between the amount of breast core needle biopsy (CNB) material examined and agreement between preoperative and postoperative histopathology parameters in invasive breast cancer. METHODS: The CNB and surgical specimen histopathology reports of 113 patients with invasive breast carcinoma were reviewed and the total amount of CNB material examined for each case was determined. Agreement was calculated for tumour type, grade, mitoses, nuclear pleomorphism, and tubule formation. Associations between the amount of CNB material and histopathology agreement before and after surgery were explored using binary logistic regression. RESULTS: Tumour type and grade agreed in 65.4% and 61.6% of cases, respectively. The components used to calculate grade--nuclear pleomorphism (57.4%), mitoses (59.4%), and tubule formation (55.6%)--agreed slightly less frequently. The proportion of cases with preoperative and postoperative assessments that agreed did not depend on the number of cores collected or the total amount of material examined. CONCLUSION: Neither tumour type and grade, nor the individual components used to calculate grade agreed consistently between the CNB and surgical specimen. The number of cores collected and the total amount of material reviewed by the pathologist does not influence the likelihood of agreement between preoperative and postoperative histopathology reports.
AIMS: To establish the relation between the amount of breast core needle biopsy (CNB) material examined and agreement between preoperative and postoperative histopathology parameters in invasive breast cancer. METHODS: The CNB and surgical specimen histopathology reports of 113 patients with invasive breast carcinoma were reviewed and the total amount of CNB material examined for each case was determined. Agreement was calculated for tumour type, grade, mitoses, nuclear pleomorphism, and tubule formation. Associations between the amount of CNB material and histopathology agreement before and after surgery were explored using binary logistic regression. RESULTS:Tumour type and grade agreed in 65.4% and 61.6% of cases, respectively. The components used to calculate grade--nuclear pleomorphism (57.4%), mitoses (59.4%), and tubule formation (55.6%)--agreed slightly less frequently. The proportion of cases with preoperative and postoperative assessments that agreed did not depend on the number of cores collected or the total amount of material examined. CONCLUSION: Neither tumour type and grade, nor the individual components used to calculate grade agreed consistently between the CNB and surgical specimen. The number of cores collected and the total amount of material reviewed by the pathologist does not influence the likelihood of agreement between preoperative and postoperative histopathology reports.
Authors: Joel E Fishman; Clara Milikowski; Rajeev Ramsinghani; M Victoria Velasquez; Galit Aviram Journal: Radiology Date: 2003-01-15 Impact factor: 11.105
Authors: Gavin C Harris; Helen E Denley; Sarah E Pinder; Andrew H S Lee; Ian O Ellis; Christopher W Elston; Andrew Evans Journal: Am J Surg Pathol Date: 2003-01 Impact factor: 6.394
Authors: H M Verkooijen; P H Peeters; E Buskens; V C Koot; I H Borel Rinkes; W P Mali; T J van Vroonhoven Journal: Br J Cancer Date: 2000-03 Impact factor: 7.640
Authors: T'ng Chang Kwok; Emad A Rakha; Andrew H S Lee; Matthew Grainge; Andrew R Green; Ian O Ellis; Desmond G Powe Journal: Histopathology Date: 2010-08 Impact factor: 5.087
Authors: C Daveau; S Baulies; M Lalloum; M Bollet; B Sigal-Zafrani; X Sastre; A Vincent-Salomon; A Tardivon; F Thibault; J Y Pierga; P Cottu; M P Sablin; R Rouzier; C Malhaire; P Mallon; F Reyal Journal: Br J Cancer Date: 2014-04-08 Impact factor: 7.640
Authors: Gøril Knutsvik; Ingunn M Stefansson; Sura Aziz; Jarle Arnes; Johan Eide; Karin Collett; Lars A Akslen Journal: PLoS One Date: 2014-11-06 Impact factor: 3.240
Authors: Sirwan M Hadad; Lee B Jordan; Pankaj G Roy; Colin A Purdie; Takayuki Iwamoto; Lajos Pusztai; Stacy L Moulder-Thompson; Alastair M Thompson Journal: BMC Cancer Date: 2016-09-22 Impact factor: 4.430