Assessing residual cancer cells using MRI and US after preoperative chemotherapy in primary breast cancer to omit surgery

Background Enhanced magnetic resonance imaging (MRI) and ultrasonography (US) are used to assess residual lesions after preoperative chemotherapy before surgery. However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectivel...

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Veröffentlicht in:Breast cancer (Tokyo, Japan) Japan), 2018-09, Vol.25 (5), p.583-589
Hauptverfasser: Iwase, Madoka, Sawaki, Masataka, Hattori, Masaya, Yoshimura, Akiyo, Ishiguro, Junko, Kotani, Haruru, Gondo, Naomi, Adachi, Yayoi, Kataoka, Ayumi, Onishi, Sakura, Sugino, Kayoko, Iwata, Hiroji
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container_end_page 589
container_issue 5
container_start_page 583
container_title Breast cancer (Tokyo, Japan)
container_volume 25
creator Iwase, Madoka
Sawaki, Masataka
Hattori, Masaya
Yoshimura, Akiyo
Ishiguro, Junko
Kotani, Haruru
Gondo, Naomi
Adachi, Yayoi
Kataoka, Ayumi
Onishi, Sakura
Sugino, Kayoko
Iwata, Hiroji
description Background Enhanced magnetic resonance imaging (MRI) and ultrasonography (US) are used to assess residual lesions after preoperative chemotherapy before surgery. However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectively reviewed the accuracy of preoperative residual lesion assessments, including ductal carcinoma in situ (DCIS) cases to find criteria for cases in which surgery can be omitted. Methods We reviewed 201 patients who received preoperative chemotherapy and surgery in our hospital from January 2013 to November 2016. Presurgical evaluations regarding the possible existence of residual lesions, and clinical Complete Response (cCR) or non-cCR, were compared with postoperative pathological diagnoses. Results Of the 201 patients, 52 were diagnosed with cCR, and 39 with pathological complete response (pCR). Predictions for residual lesions were 86.4% sensitive, 76.9% specific, and 84.6% accurate. When patients were divided into 4 groups by estrogen receptor (ER) and HER2 status, sensitivity in each group was ER + /HER2 − : 91.4%; ER − /HER2 − : 94.1%; ER + /HER2 + : 78.6%; and ER − /HER2 + : 78.5%. Of the 22 patients preoperatively assessed with cCR, but diagnosed with non-pCR, the median invasive residual tumor size was 2 mm (range 0–46 mm); 5 patients (22.7%) had only DCIS. Conclusions Predicting residual lesions after preoperative chemotherapy by using MRI and US is a reasonable strategy. However, current methods are inadequate for identifying patients who can omit surgery; therefore, a new strategy for detecting small tumors in these patients is needed.
doi_str_mv 10.1007/s12282-018-0856-6
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However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectively reviewed the accuracy of preoperative residual lesion assessments, including ductal carcinoma in situ (DCIS) cases to find criteria for cases in which surgery can be omitted. Methods We reviewed 201 patients who received preoperative chemotherapy and surgery in our hospital from January 2013 to November 2016. Presurgical evaluations regarding the possible existence of residual lesions, and clinical Complete Response (cCR) or non-cCR, were compared with postoperative pathological diagnoses. Results Of the 201 patients, 52 were diagnosed with cCR, and 39 with pathological complete response (pCR). Predictions for residual lesions were 86.4% sensitive, 76.9% specific, and 84.6% accurate. When patients were divided into 4 groups by estrogen receptor (ER) and HER2 status, sensitivity in each group was ER + /HER2 − : 91.4%; ER − /HER2 − : 94.1%; ER + /HER2 + : 78.6%; and ER − /HER2 + : 78.5%. Of the 22 patients preoperatively assessed with cCR, but diagnosed with non-pCR, the median invasive residual tumor size was 2 mm (range 0–46 mm); 5 patients (22.7%) had only DCIS. Conclusions Predicting residual lesions after preoperative chemotherapy by using MRI and US is a reasonable strategy. However, current methods are inadequate for identifying patients who can omit surgery; therefore, a new strategy for detecting small tumors in these patients is needed.</description><identifier>ISSN: 1340-6868</identifier><identifier>EISSN: 1880-4233</identifier><identifier>DOI: 10.1007/s12282-018-0856-6</identifier><identifier>PMID: 29619758</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Cancer ; Cancer Research ; Carcinoma, Ductal ; Chemotherapy ; Comparative analysis ; Estrogen ; Health aspects ; Magnetic resonance imaging ; Medical research ; Medicine ; Medicine &amp; Public Health ; Medicine, Experimental ; Neoadjuvant therapy ; Oncology ; Original Article ; Surgery ; Surgical Oncology ; Ultrasound imaging</subject><ispartof>Breast cancer (Tokyo, Japan), 2018-09, Vol.25 (5), p.583-589</ispartof><rights>The Japanese Breast Cancer Society 2018</rights><rights>COPYRIGHT 2018 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-e9d27eca74037fbdc77c48f99c150c609be1603d6f28deda19fc6d87a7c4d8863</citedby><cites>FETCH-LOGICAL-c435t-e9d27eca74037fbdc77c48f99c150c609be1603d6f28deda19fc6d87a7c4d8863</cites><orcidid>0000-0002-4423-4023</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12282-018-0856-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12282-018-0856-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29619758$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Iwase, Madoka</creatorcontrib><creatorcontrib>Sawaki, Masataka</creatorcontrib><creatorcontrib>Hattori, Masaya</creatorcontrib><creatorcontrib>Yoshimura, Akiyo</creatorcontrib><creatorcontrib>Ishiguro, Junko</creatorcontrib><creatorcontrib>Kotani, Haruru</creatorcontrib><creatorcontrib>Gondo, Naomi</creatorcontrib><creatorcontrib>Adachi, Yayoi</creatorcontrib><creatorcontrib>Kataoka, Ayumi</creatorcontrib><creatorcontrib>Onishi, Sakura</creatorcontrib><creatorcontrib>Sugino, Kayoko</creatorcontrib><creatorcontrib>Iwata, Hiroji</creatorcontrib><title>Assessing residual cancer cells using MRI and US after preoperative chemotherapy in primary breast cancer to omit surgery</title><title>Breast cancer (Tokyo, Japan)</title><addtitle>Breast Cancer</addtitle><addtitle>Breast Cancer</addtitle><description>Background Enhanced magnetic resonance imaging (MRI) and ultrasonography (US) are used to assess residual lesions after preoperative chemotherapy before surgery. However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectively reviewed the accuracy of preoperative residual lesion assessments, including ductal carcinoma in situ (DCIS) cases to find criteria for cases in which surgery can be omitted. Methods We reviewed 201 patients who received preoperative chemotherapy and surgery in our hospital from January 2013 to November 2016. Presurgical evaluations regarding the possible existence of residual lesions, and clinical Complete Response (cCR) or non-cCR, were compared with postoperative pathological diagnoses. Results Of the 201 patients, 52 were diagnosed with cCR, and 39 with pathological complete response (pCR). Predictions for residual lesions were 86.4% sensitive, 76.9% specific, and 84.6% accurate. When patients were divided into 4 groups by estrogen receptor (ER) and HER2 status, sensitivity in each group was ER + /HER2 − : 91.4%; ER − /HER2 − : 94.1%; ER + /HER2 + : 78.6%; and ER − /HER2 + : 78.5%. Of the 22 patients preoperatively assessed with cCR, but diagnosed with non-pCR, the median invasive residual tumor size was 2 mm (range 0–46 mm); 5 patients (22.7%) had only DCIS. Conclusions Predicting residual lesions after preoperative chemotherapy by using MRI and US is a reasonable strategy. However, current methods are inadequate for identifying patients who can omit surgery; therefore, a new strategy for detecting small tumors in these patients is needed.</description><subject>Cancer</subject><subject>Cancer Research</subject><subject>Carcinoma, Ductal</subject><subject>Chemotherapy</subject><subject>Comparative analysis</subject><subject>Estrogen</subject><subject>Health aspects</subject><subject>Magnetic resonance imaging</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Medicine, Experimental</subject><subject>Neoadjuvant therapy</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Ultrasound imaging</subject><issn>1340-6868</issn><issn>1880-4233</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kV1rFDEUhgdRbK3-AG8k4I03U5PMbJK5XIofhYqg9jpkk5Ntykyy5mQK--_NOFtBEMlFPt7nHE7et2leM3rJKJXvkXGueEuZaqnaiFY8ac6ZUrTtedc9reeup61QQp01LxDvKe07ScXz5owPgg1yo86b4xYREEPckwwY3GxGYk20kImFcUQy_9a-fLsmJjpy-50YX6p4yJAOkE0JD0DsHUyp3NXr4UhCrGKYTD6SXQaD5bFfSSRNoRCc8x7y8WXzzJsR4dVpv2huP374cfW5vfn66fpqe9PavtuUFgbHJVgje9pJv3NWStsrPwyWbagVdNgBE7RzwnPlwBk2eCuckqZiTinRXTTv1r6HnH7OgEVPAZe_mQhpRs0p54zLnvGKvl3RvRlBh-hTycYuuN7KxWvK6FCpy39QdTmYgk0RfKjvfxWwtcDmhJjB65NBmlG9BKnXIHUNUi9B6mXqN6ep590E7k_FY3IV4CuAVYrVUH2f5hyrk__p-gt5u6k6</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Iwase, Madoka</creator><creator>Sawaki, Masataka</creator><creator>Hattori, Masaya</creator><creator>Yoshimura, Akiyo</creator><creator>Ishiguro, Junko</creator><creator>Kotani, Haruru</creator><creator>Gondo, Naomi</creator><creator>Adachi, Yayoi</creator><creator>Kataoka, Ayumi</creator><creator>Onishi, Sakura</creator><creator>Sugino, Kayoko</creator><creator>Iwata, Hiroji</creator><general>Springer Japan</general><general>Springer</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4423-4023</orcidid></search><sort><creationdate>20180901</creationdate><title>Assessing residual cancer cells using MRI and US after preoperative chemotherapy in primary breast cancer to omit surgery</title><author>Iwase, Madoka ; Sawaki, Masataka ; Hattori, Masaya ; Yoshimura, Akiyo ; Ishiguro, Junko ; Kotani, Haruru ; Gondo, Naomi ; Adachi, Yayoi ; Kataoka, Ayumi ; Onishi, Sakura ; Sugino, Kayoko ; Iwata, Hiroji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-e9d27eca74037fbdc77c48f99c150c609be1603d6f28deda19fc6d87a7c4d8863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cancer</topic><topic>Cancer Research</topic><topic>Carcinoma, Ductal</topic><topic>Chemotherapy</topic><topic>Comparative analysis</topic><topic>Estrogen</topic><topic>Health aspects</topic><topic>Magnetic resonance imaging</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Medicine, Experimental</topic><topic>Neoadjuvant therapy</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Ultrasound imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iwase, Madoka</creatorcontrib><creatorcontrib>Sawaki, Masataka</creatorcontrib><creatorcontrib>Hattori, Masaya</creatorcontrib><creatorcontrib>Yoshimura, Akiyo</creatorcontrib><creatorcontrib>Ishiguro, Junko</creatorcontrib><creatorcontrib>Kotani, Haruru</creatorcontrib><creatorcontrib>Gondo, Naomi</creatorcontrib><creatorcontrib>Adachi, Yayoi</creatorcontrib><creatorcontrib>Kataoka, Ayumi</creatorcontrib><creatorcontrib>Onishi, Sakura</creatorcontrib><creatorcontrib>Sugino, Kayoko</creatorcontrib><creatorcontrib>Iwata, Hiroji</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Breast cancer (Tokyo, Japan)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iwase, Madoka</au><au>Sawaki, Masataka</au><au>Hattori, Masaya</au><au>Yoshimura, Akiyo</au><au>Ishiguro, Junko</au><au>Kotani, Haruru</au><au>Gondo, Naomi</au><au>Adachi, Yayoi</au><au>Kataoka, Ayumi</au><au>Onishi, Sakura</au><au>Sugino, Kayoko</au><au>Iwata, Hiroji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing residual cancer cells using MRI and US after preoperative chemotherapy in primary breast cancer to omit surgery</atitle><jtitle>Breast cancer (Tokyo, Japan)</jtitle><stitle>Breast Cancer</stitle><addtitle>Breast Cancer</addtitle><date>2018-09-01</date><risdate>2018</risdate><volume>25</volume><issue>5</issue><spage>583</spage><epage>589</epage><pages>583-589</pages><issn>1340-6868</issn><eissn>1880-4233</eissn><abstract>Background Enhanced magnetic resonance imaging (MRI) and ultrasonography (US) are used to assess residual lesions after preoperative chemotherapy before surgery. However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectively reviewed the accuracy of preoperative residual lesion assessments, including ductal carcinoma in situ (DCIS) cases to find criteria for cases in which surgery can be omitted. Methods We reviewed 201 patients who received preoperative chemotherapy and surgery in our hospital from January 2013 to November 2016. Presurgical evaluations regarding the possible existence of residual lesions, and clinical Complete Response (cCR) or non-cCR, were compared with postoperative pathological diagnoses. Results Of the 201 patients, 52 were diagnosed with cCR, and 39 with pathological complete response (pCR). Predictions for residual lesions were 86.4% sensitive, 76.9% specific, and 84.6% accurate. When patients were divided into 4 groups by estrogen receptor (ER) and HER2 status, sensitivity in each group was ER + /HER2 − : 91.4%; ER − /HER2 − : 94.1%; ER + /HER2 + : 78.6%; and ER − /HER2 + : 78.5%. Of the 22 patients preoperatively assessed with cCR, but diagnosed with non-pCR, the median invasive residual tumor size was 2 mm (range 0–46 mm); 5 patients (22.7%) had only DCIS. Conclusions Predicting residual lesions after preoperative chemotherapy by using MRI and US is a reasonable strategy. However, current methods are inadequate for identifying patients who can omit surgery; therefore, a new strategy for detecting small tumors in these patients is needed.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>29619758</pmid><doi>10.1007/s12282-018-0856-6</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4423-4023</orcidid></addata></record>
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subjects Cancer
Cancer Research
Carcinoma, Ductal
Chemotherapy
Comparative analysis
Estrogen
Health aspects
Magnetic resonance imaging
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Neoadjuvant therapy
Oncology
Original Article
Surgery
Surgical Oncology
Ultrasound imaging
title Assessing residual cancer cells using MRI and US after preoperative chemotherapy in primary breast cancer to omit surgery
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