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Guzmán-Arocho YD, Collins LC. Pragmatic guide to the macroscopic evaluation of breast specimens. J Clin Pathol 2024; 77:204-210. [PMID: 38373781 DOI: 10.1136/jcp-2023-208833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 06/27/2023] [Indexed: 02/21/2024]
Abstract
The pathological assessment of a breast surgical specimen starts with macroscopic evaluation, arguably one of the most critical steps, as only a small percentage of the tissue is examined microscopically. To properly evaluate and select tissue sections from breast specimens, it is essential to correlate radiological findings, prior biopsies, procedures and treatment with the gross findings. Owing to its fatty nature, breast tissue requires special attention for proper fixation to ensure appropriate microscopic evaluation and performance of ancillary studies. In addition, knowledge of the information necessary for patient management will ensure that these data are collected during the macroscopic evaluation, and appropriate sections are taken to obtain the information needed from the microscopic evaluation. Herein, we present a review of the macroscopic evaluation of different breast specimen types, including processing requirements, challenges and recommendations.
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Affiliation(s)
| | - Laura C Collins
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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2
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Zhang M, Liao J, Jia Z, Qin C, Zhang L, Wang H, Liu Y, Jiang C, Han M, Li J, Wang K, Wang X, Bu H, Yao J, Liu Y. High Dynamic Range Dual-Modal White Light Imaging Improves the Accuracy of Tumor Bed Sampling After Neoadjuvant Therapy for Breast Cancer. Am J Clin Pathol 2023; 159:293-303. [PMID: 36799717 DOI: 10.1093/ajcp/aqac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/01/2022] [Indexed: 02/18/2023] Open
Abstract
OBJECTIVES Accurate evaluation of residual cancer burden remains challenging because of the lack of appropriate techniques for tumor bed sampling. This study evaluated the application of a white light imaging system to help pathologists differentiate the components and location of tumor bed in specimens. METHODS The high dynamic range dual-mode white light imaging (HDR-DWI) system was developed to capture antiglare reflection and multiexposure HDR transmission images. It was tested in 60 specimens of modified radical mastectomy after neoadjuvant therapy. We observed the differential transmittance among tumor tissue, fibrosis tissue, and adipose tissue. RESULTS The sensitivity and specificity of HDR-DWI were compared with x-ray or visual examination to determine whether HDR-DWI was superior in identifying tumor beds. We found that tumor tissue had lower transmittance (0.12 ± 0.03) than fibers (0.15 ± 0.04) and fats (0.27 ± 0.07) (P < .01). CONCLUSIONS HDR-DWI was more sensitive in identifying fiber and tumor tissues than cabinet x-ray and visual observation (P < .01). In addition, HDR-DWI could identify more fibrosis areas than the currently used whole slide imaging did in 12 samples (12/60). We have determined that HDR-DWI can provide more in-depth tumor bed information than x-ray and visual examination do, which will help prevent diagnostic errors in tumor bed sampling.
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Affiliation(s)
- Meng Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jun Liao
- AI Lab, Tencent, Shenzhen, China
| | - Zhanli Jia
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Lingling Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Han Wang
- AI Lab, Tencent, Shenzhen, China
| | - Yao Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Mengxue Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jinze Li
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Kun Wang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xinran Wang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hong Bu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | | | - Yueping Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Han D, Liao J, Zhang M, Qin C, Han M, Wu C, Li J, Yao J, Liu Y. Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy. Diagn Pathol 2022; 17:40. [PMID: 35484579 PMCID: PMC9047297 DOI: 10.1186/s13000-022-01219-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 04/12/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To explore whether the "WSI Stitcher", a program we developed for reconstructing virtual large slide through whole slide imaging fragments stitching, can improve the efficiency and consistency of pathologists in evaluating the tumor bed after neoadjuvant treatment of breast cancer compared with the conventional methods through stack splicing of physical slides. METHODS This study analyzed the advantages of using software-assisted methods to evaluate the tumor bed after neoadjuvant treatment of breast cancer. This new method is to use "WSI Stitcher" to stitch all the WSI fragments together to reconstruct a virtual large slide and evaluate the tumor bed with the help of the built-in ruler and tumor proportion calculation functions. RESULTS Compared with the conventional method, the evaluation time of the software-assisted method was shortened by 35%(P < 0.001). In the process of tumor bed assessment after neoadjuvant treatment of breast cancer, the software-assisted method has higher intraclass correlation coefficient when measuring the length (0.994 versus 0.934), width (0.992 versus 0.927), percentage of residual tumor cells (0.947 versus 0.878), percentage of carcinoma in situ (0.983 versus 0.881) and RCB index(0.997 versus 0.772). The software-assisted method has higher kappa values when evaluating tumor staging(0.901 versus 0.687) and RCB grading (0.963 versus 0.857). CONCLUSION The "WSI Stitcher" is an effective tool to help pathologists with the assessment of breast cancer after neoadjuvant treatment.
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Affiliation(s)
- Dandan Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
| | - Jun Liao
- AI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China
| | - Meng Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
| | - Chenchen Qin
- AI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China
| | - Mengxue Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
| | - Chun Wu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
| | - Jinze Li
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
| | - Jianhua Yao
- AI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China.
| | - Yueping Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
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Cleary AS, Lester SC. The Critical Role of Breast Specimen Gross Evaluation for Optimal Personalized Cancer Care. Surg Pathol Clin 2022; 15:121-132. [PMID: 35236628 DOI: 10.1016/j.path.2021.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Gross examination is the foundation for the pathologic evaluation of all surgical specimens. The rapid identification of cancers is essential for intraoperative assessment and preservation of biomolecules for molecular assays. Key components of the gross examination include the accurate identification of the lesions of interest, correlation with clinical and radiologic findings, assessment of lesion number and size, relationship to surgical margins, documenting the extent of disease spread to the skin and chest wall, and the identification of axillary lymph nodes. Although the importance of gross evaluation is undeniable, current challenges include the difficulty of teaching grossing well and its possible perceived undervaluation compared with microscopic and molecular studies. In the future, new rapid imaging techniques without the need for tissue processing may provide an ideal melding of gross and microscopic pathologic evaluation.
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Affiliation(s)
- Allison S Cleary
- Department of Pathology, Huntsman Cancer Hospital, 1950 Circle of Hope, Salt Lake City, UT 84112
| | - Susan C Lester
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
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Troxell ML, Gupta T. Neoadjuvant Therapy in Breast Cancer: Histologic Changes and Clinical Implications. Surg Pathol Clin 2022; 15:57-75. [PMID: 35236634 DOI: 10.1016/j.path.2021.11.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Cytotoxic or endocrine therapy before surgery (neoadjuvant) for breast cancer has become standard of care, affording the opportunity to assess and quantify response in the subsequent resection specimen. Correlation with radiology, cassette mapping, and histologic review with a semi-quantitative reporting system such as residual cancer burden (RCB) provides important prognostic data that may guide further therapy. The tumor bed should be identified histologically, often as a collagenized zone devoid of normal breast epithelium, with increased vasculature. Identification of residual treated carcinoma may require careful high power examination, as residual tumor cells may be small and dyscohesive; features are widely variable and include hyperchromatic small, large, or multiple nuclei with clear, foamy, or eosinophilic cytoplasm. Calculation of RCB requires residual carcinoma span in 2 dimensions, estimated carcinoma cellularity (% area), number of involved lymph nodes, and span of largest nodal carcinoma. These RCB parameters may differ from AJCC staging measurements, which depend on only contiguous carcinoma in breast and lymph nodes.
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Affiliation(s)
- Megan L Troxell
- Department of Pathology, Stanford University School of Medicine, Stanford Pathology, 300 Pasteur Drive, H2110, Stanford, CA 94305, USA.
| | - Tanya Gupta
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, 900 Blake Wilbur Drive, Palo Alto, CA 94304 USA
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Soh J, Hamada A, Fujino T, Mitsudomi T. Perioperative Therapy for Non-Small Cell Lung Cancer with Immune Checkpoint Inhibitors. Cancers (Basel) 2021; 13:4035. [PMID: 34439189 PMCID: PMC8391213 DOI: 10.3390/cancers13164035] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 08/04/2021] [Accepted: 08/04/2021] [Indexed: 12/25/2022] Open
Abstract
The emergence of immune checkpoint inhibitors (ICIs) has dramatically changed the treatment landscape for patients with metastatic non-small cell lung cancer (NSCLC). These achievements inspired investigators and pharmaceutical companies to conduct clinical trials in patients with early-stage NSCLC because both adjuvant and neoadjuvant platinum-based doublet chemotherapies (PT-DCs) showed only a 5% improvement in 5-year overall survival. IMpower010, a phase 3 trial (P3), showed that adjuvant PT-DC followed by maintenance atezolitumab significantly prolonged disease-free survival over adjuvant PT-DC alone (hazard ratio, 0.79; stage II to IIIA). Since conventional therapies, including chemotherapy and radiotherapy, can promote immunogenic cell death, releasing tumour antigens from dead tumour cells, ICI combination therapies with conventional therapies are widely proposed. The Checkmate 816 trial (P3) indicated a significantly higher pathological complete response rate of neoadjuvant nivolumab/PT-DC combination therapy than of neoadjuvant PT-DC alone (odds ratio, 13.9, for stage IB to IIIA). Detection of circulating tumour DNA is highly anticipated for the evaluation of minimal residual disease. Multimodal approaches and new ICI agents are being attempted to improve the efficacy of ICI treatment in phase 2 trials. This review presents the development of perioperative treatment using ICIs in patients with NSCLC while discussing problems and perspectives.
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Affiliation(s)
- Junichi Soh
- Division of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka 589-8511, Japan; (A.H.); (T.F.); (T.M.)
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Cho SY, Park SY, Bae YK, Kim JY, Kim EK, Kim WG, Kwon Y, Lee A, Lee HJ, Lee JS, Park JY, Gong G, Yoon HK. Standardized pathology report for breast cancer. J Pathol Transl Med 2021; 55:1-15. [PMID: 33461287 PMCID: PMC7829577 DOI: 10.4132/jptm.2020.11.20] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 11/20/2020] [Indexed: 12/21/2022] Open
Abstract
Given the recent advances in management and understanding of breast cancer, a standardized pathology report reflecting these changes is critical. To meet this need, the Breast Pathology Study Group of the Korean Society of Pathologists has developed a standardized pathology reporting format for breast cancer, consisting of 'standard data elements,' 'conditional data elements,' and a biomarker report form. The 'standard data elements' consist of the basic pathologic features used for prognostication, while other factors related to prognosis or diagnosis are described in the 'conditional data elements.' In addition to standard data elements, all recommended issues are also presented. We expect that this standardized pathology report for breast cancer will improve diagnostic concordance and communication between pathologists and clinicians, as well as between pathologists inter-institutionally.
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Affiliation(s)
- Soo Youn Cho
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yeon Park
- Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Young Kyung Bae
- Department of Pathology, Yeungnam University College of Medicine, Daegu, Korea
| | - Jee Yeon Kim
- Department of Pathology, Pusan National University Yangsan Hospital, Pusan National University College of Medicine, Yangsan, Korea
| | - Eun Kyung Kim
- Department of Pathology, Eulji University College of Medicine, Seoul, Korea
| | - Woo Gyeong Kim
- Department of Pathology, Inje University Haeundae Paik Hospital, Busan, Korea
| | - Youngmee Kwon
- Department of Pathology, National Cancer Center, Goyang, Korea
| | - Ahwon Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ji Shin Lee
- Department of Pathology, Chonnam National University Medical School, Gwangju, Korea
| | - Jee Young Park
- Department of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Korea
| | - Gyungyub Gong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hye Kyoung Yoon
- Department of Pathology, Busan Paik Hospital, Inje University, Busan, Korea
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Cho SY, Park SY, Bae YK, Kim JY, Kim EK, Kim WG, Kwon Y, Lee A, Lee HJ, Lee JS, Park JY, Gong G, Yoon HK. Standardized Pathology Report for Breast Cancer. J Breast Cancer 2021; 24:1-21. [PMID: 33634617 PMCID: PMC7920867 DOI: 10.4048/jbc.2021.24.e5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 12/21/2020] [Indexed: 02/08/2023] Open
Abstract
Given the recent advances in management and understanding of breast cancer, a standardized pathology report reflecting these changes is critical. To meet this need, the Breast Pathology Study Group of the Korean Society of Pathologists has developed a standardized pathology reporting format for breast cancer, consisting of ‘standard data elements,’ ‘conditional data elements,’ and a biomarker report form. The ‘standard data elements’ consist of the basic pathologic features used for prognostication, while other factors related to prognosis or diagnosis are described in the ‘conditional data elements.’ In addition to standard data elements, all recommended issues are also presented. We expect that this standardized pathology report for breast cancer will improve diagnostic concordance and communication between pathologists and clinicians, as well as between pathologists inter-institutionally.
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Affiliation(s)
- Soo Youn Cho
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yeon Park
- Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Young Kyung Bae
- Department of Pathology, Yeungnam University College of Medicine, Daegu, Korea
| | - Jee Yeon Kim
- Department of Pathology, Pusan National University Yangsan Hospital, Pusan National University College of Medicine, Yangsan, Korea
| | - Eun Kyung Kim
- Department of Pathology, Eulji University College of Medicine, Seoul, Korea
| | - Woo Gyeong Kim
- Department of Pathology, Inje University Haeundae Paik Hospital, Busan, Korea
| | - Youngmee Kwon
- Department of Pathology, National Cancer Center, Goyang, Korea
| | - Ahwon Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ji Shin Lee
- Department of Pathology, Chonnam National University Medical School, Gwangju, Korea
| | - Jee Young Park
- Department of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Korea
| | - Gyungyub Gong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hye Kyoung Yoon
- Department of Pathology, Busan Paik Hospital, Inje University, Busan, Korea.
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Bossuyt V, Spring L. Pathologic evaluation of response to neoadjuvant therapy drives treatment changes and improves long-term outcomes for breast cancer patients. Breast J 2020; 26:1189-1198. [PMID: 32468652 DOI: 10.1111/tbj.13864] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Accepted: 01/03/2020] [Indexed: 11/29/2022]
Abstract
Systemic therapy for breast cancer may be given before (neoadjuvant) or after (adjuvant) surgery. When neoadjuvant systemic therapy is given, response to treatment can be evaluated. However, some prognostic information (for example, pathologic tumor size pretreatment) is then lost and pathologic evaluation of breast specimens after neoadjuvant therapy is more difficult. Pathologic complete response (pCR), defined as no invasive disease in the breast (ypT0/is or ypT0) and no disease in all sampled lymph nodes (ypN0), identifies patients with a lower risk of recurrence or death compared to those with residual disease. Multidisciplinary collaboration, marking of the tumor site and any lymph node involvement pretreatment, and access to specimen imaging to facilitate correlation of gross and microscopic findings are critical for accurate determination of pCR. For HER2-positive and triple negative tumors requiring systemic therapy, giving the treatment before surgery identifies a high-risk group of patients that can receive additional adjuvant therapy after surgery if a pCR is not achieved. Recent clinical trials have demonstrated that this approach reduced recurrence risk. More than ever, pathologic evaluation of response to neoadjuvant systemic therapy directs treatment received after surgery. Using a single standardized protocol for sampling of the post-neoadjuvant surgical specimen allows pathologists to ensure accurate determination of pCR or residual disease and quantify residual disease. Residual cancer burden (RCB) and AJCC stage provide complementary quantitative information about residual disease and prognosis.
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Affiliation(s)
- Veerle Bossuyt
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Laura Spring
- Massachusetts General Hospital, Boston, Massachusetts, USA
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Current Procedural Terminology Coding in an Academic Breast Pathology Service: An Illustration of the Undervaluation of Breast Pathology. Am J Surg Pathol 2020; 43:1510-1517. [PMID: 31385852 DOI: 10.1097/pas.0000000000001337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Many physicians share the perception that the work required to evaluate breast pathology specimens is undervalued by Current Procedural Terminology (CPT) codes. To examine this issue, we compared slide volumes from an equal number of breast and nonbreast specimens assigned 88305, 88307, or 88309 CPT codes during four 2.5-week periods over 1 year. For each specimen, a number of initial hematoxylin and eosin-stained sections (H&Es), preordered additional H&E sections (levels), H&E sections ordered after initial slide review (recuts), and specimen type were recorded. Slides associated with ancillary stains were not considered. In total, 911 breast and 911 nonbreast specimens, each assigned 88305 (n=580), 88307 (n=320), and 88309 (n=11) CPT codes, were compared. Breast 88305 specimens were mainly core biopsies and margins and generated 2.3 and 6.4 times the H&Es and recuts, respectively, than did nonbreast specimens (P<0.01). Breast 88307 specimens were mainly lymph nodes and lumpectomies and generated 1.8 times the total slides than did nonbreast specimens (P<0.01). Eleven modified radical mastectomies (88309) generated 2.1 times the total slides than nonbreast 88309 specimens (P<0.01). In total (n=911 in each cohort), breast specimens generated 1.9, 4.0, and 1.7 times the H&Es, recuts, and total slides (P<0.01) than did nonbreast specimens. At our academic institution, the slide volume for breast specimens is nearly twice that of similarly coded nonbreast specimens. These results have significant implications for workload management and assessing pathologist productivity, particularly in subspecialty practices.
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Kim WG, Cummings MC, Lakhani SR. Pitfalls and controversies in pathology impacting breast cancer management. Expert Rev Anticancer Ther 2020; 20:205-219. [PMID: 32174198 DOI: 10.1080/14737140.2020.1738222] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Introduction: Breast cancer is a heterogeneous disease, at morphological, molecular, and clinical levels and this has significant implications for the diagnosis and management of the disease. The introduction of breast screening, and the use of small tissue sampling for diagnosis, the recognition of new morphological and molecular subtypes, and the increasing use of neoadjuvant therapies have created challenges in pathological diagnosis and classification.Areas covered: Areas of potential difficulty include columnar cell lesions, particularly flat epithelial atypia, atypical ductal hyperplasia, lobular neoplasia and its variants, and a range of papillary lesions. Fibroepithelial, sclerosing, mucinous, and apocrine lesions are also considered. Established and newer prognostic and predictive markers, such as immune infiltrates, PD-1 and PD-L1 and gene expression assays are evaluated. The unique challenges of pathology assessment post-neoadjuvant systemic therapy are also explored.Expert opinion: Controversies in clinical management arise due to incomplete and sometimes conflicting data on clinicopathological associations, prognosis, and outcome. The review will address some of these challenges.
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Affiliation(s)
- Woo Gyeong Kim
- Department of Pathology, University of Inje College of Medicine, Busan, Korea.,University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Margaret C Cummings
- University of Queensland Centre for Clinical Research, Brisbane, Australia.,Department of Anatomical Pathology, Pathology Queensland, Brisbane, Australia
| | - Sunil R Lakhani
- University of Queensland Centre for Clinical Research, Brisbane, Australia.,Department of Anatomical Pathology, Pathology Queensland, Brisbane, Australia
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12
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Travis WD, Dacic S, Wistuba I, Sholl L, Adusumilli P, Bubendorf L, Bunn P, Cascone T, Chaft J, Chen G, Chou TY, Cooper W, Erasmus JJ, Ferreira CG, Goo JM, Heymach J, Hirsch FR, Horinouchi H, Kerr K, Kris M, Jain D, Kim YT, Lopez-Rios F, Lu S, Mitsudomi T, Moreira A, Motoi N, Nicholson AG, Oliveira R, Papotti M, Pastorino U, Paz-Ares L, Pelosi G, Poleri C, Provencio M, Roden AC, Scagliotti G, Swisher SG, Thunnissen E, Tsao MS, Vansteenkiste J, Weder W, Yatabe Y. IASLC Multidisciplinary Recommendations for Pathologic Assessment of Lung Cancer Resection Specimens After Neoadjuvant Therapy. J Thorac Oncol 2020; 15:709-740. [PMID: 32004713 DOI: 10.1016/j.jtho.2020.01.005] [Citation(s) in RCA: 196] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 12/25/2019] [Accepted: 01/04/2020] [Indexed: 12/14/2022]
Abstract
Currently, there is no established guidance on how to process and evaluate resected lung cancer specimens after neoadjuvant therapy in the setting of clinical trials and clinical practice. There is also a lack of precise definitions on the degree of pathologic response, including major pathologic response or complete pathologic response. For other cancers such as osteosarcoma and colorectal, breast, and esophageal carcinomas, there have been multiple studies investigating pathologic assessment of the effects of neoadjuvant therapy, including some detailed recommendations on how to handle these specimens. A comprehensive mapping approach to gross and histologic processing of osteosarcomas after induction therapy has been used for over 40 years. The purpose of this article is to outline detailed recommendations on how to process lung cancer resection specimens and to define pathologic response, including major pathologic response or complete pathologic response after neoadjuvant therapy. A standardized approach is recommended to assess the percentages of (1) viable tumor, (2) necrosis, and (3) stroma (including inflammation and fibrosis) with a total adding up to 100%. This is recommended for all systemic therapies, including chemotherapy, chemoradiation, molecular-targeted therapy, immunotherapy, or any future novel therapies yet to be discovered, whether administered alone or in combination. Specific issues may differ for certain therapies such as immunotherapy, but the grossing process should be similar, and the histologic evaluation should contain these basic elements. Standard pathologic response assessment should allow for comparisons between different therapies and correlations with disease-free survival and overall survival in ongoing and future trials. The International Association for the Study of Lung Cancer has an effort to collect such data from existing and future clinical trials. These recommendations are intended as guidance for clinical trials, although it is hoped they can be viewed as suggestion for good clinical practice outside of clinical trials, to improve consistency of pathologic assessment of treatment response.
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Affiliation(s)
- William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ignacio Wistuba
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Prasad Adusumilli
- Thoracic Surgery Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lukas Bubendorf
- Department of Pathology, University of Basel, Basel, Switzerland
| | - Paul Bunn
- Medical Oncology, Colorado University School of Medicine, Aurora, Colorado
| | - Tina Cascone
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Jamie Chaft
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gang Chen
- Department of Pathology, Zhongshan Hospital Fudan University, Shanghai, China
| | | | - Wendy Cooper
- Department of Pathology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Jeremy J Erasmus
- Department of Radiology, MD Anderson Cancer Center, Houston, Texas
| | | | - Jin-Mo Goo
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - John Heymach
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Fred R Hirsch
- Center for Thoracic Oncology, Tisch Cancer Institute at Mount Sinai, New York, New York
| | - Hidehito Horinouchi
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Keith Kerr
- Department of Pathology, Aberdeen University Medical School, Aberdeen, Scotland
| | - Mark Kris
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Young T Kim
- Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Fernando Lopez-Rios
- Laboratorio de Dianas Terapeuticas, Hospital Universitario Madrid Sanchinarro, Madrid, Spain
| | - Shun Lu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai, China
| | - Tetsuya Mitsudomi
- Thoracic Surgery, Kinki University Faculty of Medicine, Osaka-Sayama, Japan
| | - Andre Moreira
- Department of Pathology, New York University School of Medicine, New York, New York
| | - Noriko Motoi
- Department of Pathology, Mational Cancer Center, Tokyo, Japan
| | - Andrew G Nicholson
- Department of Pathology, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | | | - Mauro Papotti
- Department of Pathology, University of Turin, Torino, Italy
| | - Ugo Pastorino
- Thoracic Surgery Division, Istituto Nazionale Tumor, Milan, Italy
| | - Luis Paz-Ares
- Medical Oncology, National Oncology Research Center, Madrid, Spain
| | | | - Claudia Poleri
- Office of Pathology Consultants, Buenos Aries, Argentina
| | - Mariano Provencio
- Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Anja C Roden
- Department of Pathology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Erik Thunnissen
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
| | - Ming S Tsao
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | | | - Walter Weder
- Division of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Yasushi Yatabe
- Department of Pathology, Mational Cancer Center, Tokyo, Japan
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13
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Lanjewar S, Patil P, Fineberg S. Pathologic reporting practices for breast cancer specimens after neoadjuvant chemotherapy-a survey of pathologists in academic institutions across the United States. Mod Pathol 2020; 33:91-98. [PMID: 31383962 DOI: 10.1038/s41379-019-0326-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 06/21/2019] [Accepted: 06/22/2019] [Indexed: 11/09/2022]
Abstract
Neoadjuvant chemotherapy is increasingly being used to treat primary invasive breast carcinoma. Response to neoadjuvant chemotherapy is an important determinant of prognosis. A multidisciplinary group published recommendations for standardization of pathologic reporting of postneoadjuvant chemotherapy specimens. Based on these recommendations, we sent a survey to 26 pathologists currently practicing breast pathology in academic centers across the United States. The survey consisted of six questions with yes/no answers. The pathologists were encouraged to add comments. We received responses from 23 breast pathologists from 19 centers. The questions and responses were as follows: 1. Do you grade tumors after neoadjuvant chemotherapy?-17 (74%) responded yes and 6 (26%) responded no. 2. Do you routinely repeat hormone receptors, HER2/Neu results after neoadjuvant chemotherapy?-15 (65%) responded yes and 8 (35%) responded no. 3. If there are features of tumor regression/tumor bed at the margin but no actual tumor at the margin do you report this?-11 (48%) responded yes and 8 (35%) responded no and 4 (17%) reported a variable practice. 4. Do you report number of nodes with fibrosis/changes of regression?-17 (74%) responded yes and 6 (26%) responded no. 5. Do you report residual cancer burden score on your report or at least provide information on your report so clinicians can calculate residual cancer burden?-17 (74%) responded yes and 6 (26%) responded no. 6. Do you have a specific synoptic for cases after neoadjuvant chemotherapy?-5 (22%) responded yes and 18 (78%) responded no. The major reasons provided for nonadherence to recommended guidelines included pathologists were unaware of prognostic importance of providing the information, reporting practices were clinician driven and some pathologists were unaware of the recommendation. We document that academic breast pathology practices show significant variability in reporting of postneoadjuvant chemotherapy cases. We document barriers to standard practice and provide recommendations we hope will contribute to a more uniform reporting practice for these complex specimens.
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Affiliation(s)
- Sonali Lanjewar
- Montefiore Medical Center and the Albert Einstein College of Medicine, Department of Pathology, Bronx, NY, USA.,Methodist Lebonheur Hospital and University of Tennessee Health Science Center, Memphis, TN, USA
| | - Priyanka Patil
- Montefiore Medical Center and the Albert Einstein College of Medicine, Department of Pathology, Bronx, NY, USA
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, Department of Pathology, Bronx, NY, USA.
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14
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Mrkonjic M, Berman HK, Done SJ, Youngson B, Mulligan AM. Breast specimen handling and reporting in the post-neoadjuvant setting: challenges and advances. J Clin Pathol 2019; 72:120-132. [PMID: 30670564 DOI: 10.1136/jclinpath-2018-205598] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 11/28/2018] [Indexed: 12/23/2022]
Abstract
Neoadjuvant systemic therapy is becoming more commonly used in patients with earlier stages of breast cancer. To assess tumour response to neoadjuvant chemotherapy, pathological evaluation is the gold standard. Depending on the treatment response, the pathological examination of these specimens can be quite challenging. However, a uniform approach to evaluate post-neoadjuvant-treated breast specimens has been lacking. Furthermore, there is no single universally accepted or endorsed classification system for assessing treatment response in this setting. Recent initiatives have attempted to create a standardised protocol for evaluation of post-neoadjuvant breast specimens. This review outlines the necessary information that should be collected prior to macroscopic examination of these specimens, the recommended and most pragmatic approach to tissue sampling for microscopic examination, describes the macroscopic and microscopic features of post-therapy breast specimens, summarises two commonly used systems for classifying treatment response and outlines the critical variables that should be included in the final pathology report.
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Affiliation(s)
- Miralem Mrkonjic
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Hal K Berman
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Susan J Done
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Bruce Youngson
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Anna Marie Mulligan
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada .,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
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