Literature DB >> 8625667

Cell type accuracy of bronchial biopsy specimens in primary lung cancer.

J J Cataluña1, M Perpiñá, J V Greses, V Calvo, J D Padilla, F París.   

Abstract

STUDY
OBJECTIVES: To evaluate the diagnostic accuracy of bronchial biopsy (BB) specimens in establishing the specific cell type in primary lung cancer (LC), and to study the influence of several factors on this accuracy.
SETTING: Tertiary health-care center. PATIENTS: One hundred forty-six patients with LC diagnosed by BB specimens who underwent thoracotomy (T). MEASUREMENTS: We have studied the specific LC cell type observed in the BB specimen and compared it with the T specimen (reference diagnosis). Age, location and type of bronchial lesion, number and size of the biopsy fragments, tumoral size, sample necrosis, degree of cell differentiation, tumoral stage, pathologist's experience, and the presence of other diagnostic tests with the same cell type were analyzed to assess their influence on the concordance between the two diagnoses.
RESULTS: The overall concordance between BB and T histologic diagnosis was 0.70 (kappa coefficient [K]). Of the different histologic types, the worst result was obtained in large cell carcinoma (LLC) (K, 0.49). Squamous carcinoma and adenocarcinoma gave similar results (0.74 and 0.77, respectively), while small cell lung cancer (SCLC) only reached a value of 0.60. The degree of cell differentiation, the absence of necrosis, and presence of other preoperative diagnoses were the variables that most influenced the histologic accuracy of BB specimens. Therefore, the probability of BB accuracy was 2.7, 7.7, and 25 times higher in well-differentiated, than in poorly differentiated, moderately differentiated, or undifferentiated carcinomas; 5.2 times higher when there was no necrosis in the sample; and 7.43 higher when there was another preoperative diagnosis.
CONCLUSIONS: The histologic results of BB must be examined carefully, especially in cellular subtypes like LLC. The absence of differentiation and presence of necrosis in BB samples were the factors that require the greatest caution in ascertaining the cell type. When they are involved and also in all cases in which identifying the specific cell type has important implications, we prefer to classify the patients as having SCLC or non-small cell lung cancer, and then reclassify them later after using a second diagnostic technique.

Entities:  

Mesh:

Year:  1996        PMID: 8625667     DOI: 10.1378/chest.109.5.1199

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  6 in total

Review 1.  International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma.

Authors:  William D Travis; Elisabeth Brambilla; Masayuki Noguchi; Andrew G Nicholson; Kim R Geisinger; Yasushi Yatabe; David G Beer; Charles A Powell; Gregory J Riely; Paul E Van Schil; Kavita Garg; John H M Austin; Hisao Asamura; Valerie W Rusch; Fred R Hirsch; Giorgio Scagliotti; Tetsuya Mitsudomi; Rudolf M Huber; Yuichi Ishikawa; James Jett; Montserrat Sanchez-Cespedes; Jean-Paul Sculier; Takashi Takahashi; Masahiro Tsuboi; Johan Vansteenkiste; Ignacio Wistuba; Pan-Chyr Yang; Denise Aberle; Christian Brambilla; Douglas Flieder; Wilbur Franklin; Adi Gazdar; Michael Gould; Philip Hasleton; Douglas Henderson; Bruce Johnson; David Johnson; Keith Kerr; Keiko Kuriyama; Jin Soo Lee; Vincent A Miller; Iver Petersen; Victor Roggli; Rafael Rosell; Nagahiro Saijo; Erik Thunnissen; Ming Tsao; David Yankelewitz
Journal:  J Thorac Oncol       Date:  2011-02       Impact factor: 15.609

2.  p40 & thyroid transcription factor-1 immunohistochemistry: A useful panel to characterize non-small cell lung carcinoma-not otherwise specified (NSCLC-NOS) category.

Authors:  Ritika Walia; Deepali Jain; Karan Madan; Mehar C Sharma; Sandeep R Mathur; Anant Mohan; Venkateswaran K Iyer; Lalit Kumar
Journal:  Indian J Med Res       Date:  2017-07       Impact factor: 2.375

3.  Can positron emission tomography/computed tomography be predictive of diagnostic success in endobronchial biopsies performed through a fiber-optic bronchoscopy in lung cancer?

Authors:  Coşkun Doğan; Ali Fidan; Elif Torun Parmaksız; Sevda Şener Cömert; Banu Salepçi; Benan Çağlayan
Journal:  Ann Thorac Med       Date:  2018 Jul-Sep       Impact factor: 2.219

4.  Semi-nested real-time reverse transcription polymerase chain reaction methods for the successful quantitation of cytokeratin mRNA expression levels for the subtyping of non-small-cell lung carcinoma using paraffin-embedded and microdissected lung biopsy specimens.

Authors:  Yoko Nakanishi; Tetsuo Shimizu; Ichiro Tsujino; Yukari Obana; Toshimi Seki; Fumi Fuchinoue; Sumie Ohni; Toshinori Oinuma; Yoshiaki Kusumi; Tsutomu Yamada; Noriaki Takahashi; Shu Hashimoto; Norimichi Nemoto
Journal:  Acta Histochem Cytochem       Date:  2013-04-12       Impact factor: 1.938

5.  Sequential use of bronchial aspirates, biopsies and washings in the preoperative management of lung cancers.

Authors:  Eric Piaton; Djamal Djelid; Bernard Duvert; Marielle Perrichon; Bernard Saugier
Journal:  Cytojournal       Date:  2007-06-04       Impact factor: 2.091

6.  Histological comparison between preoperative and surgical specimens of non-small cell lung cancer for distinguishing between "squamous" and "non-squamous" cell carcinoma.

Authors:  Tomoko Yamagishi; Katsuhiko Shimizu; Nobuaki Ochi; Hiromichi Yamane; Isao Irei; Yoshito Sadahira; Nagio Takigawa; Mikio Oka; Masao Nakata
Journal:  Diagn Pathol       Date:  2014-05-29       Impact factor: 2.644

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.